Accepted Manuscript
Nucleolin overexpression in breast cancer cell sub-populations with different stem-like
phenotype enables targeted intracellular delivery of synergistic drug combination
Nuno A. Fonseca, Ana S. Rodrigues, Paulo Rodrigues-Santos, Vera Alves, Ana C.
Gregório, Ângela Valério-Fernandes, Lígia C. Gomes-da-Silva, Manuel Santos Rosa,
Vera Moura, João Ramalho-Santos, Sérgio Simões, João Nuno Moreira, PharmD,
MSc, PhD
PII:
S0142-9612(15)00659-6
DOI:
10.1016/j.biomaterials.2015.08.007
Reference:
JBMT 17002
To appear in:
Biomaterials
Received Date: 17 March 2015
Revised Date:
2 August 2015
Accepted Date: 4 August 2015
Please cite this article as: Fonseca NA, Rodrigues AS, Rodrigues-Santos P, Alves V, Gregório AC,
Valério-Fernandes Â, Gomes-da-Silva LC, Rosa MS, Moura V, Ramalho-Santos J, Simões S, Moreira
JN, Nucleolin overexpression in breast cancer cell sub-populations with different stem-like phenotype
enables targeted intracellular delivery of synergistic drug combination, Biomaterials (2015), doi: 10.1016/
j.biomaterials.2015.08.007.
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ACCEPTED MANUSCRIPT
Nucleolin overexpression in breast cancer cell sub-populations
with different stem-like phenotype enables targeted
intracellular delivery of synergistic drug combination
Short title: Targeting the stem-like phenotype in TNBC.
CNC - Center for Neurosciences and Cell Biology, University of Coimbra, Faculty of Medicine (Polo I),
Rua Larga, Coimbra, 3004-504, Portugal;
2
FFUC - Faculty of Pharmacy, University of Coimbra, Pólo das
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Nuno A. Fonseca1,2; Ana S. Rodrigues3,4; Paulo Rodrigues-Santos5,6; Vera Alves5; Ana
C. Gregório1,3,7; Ângela Valério-Fernandes1,3,7; Lígia C. Gomes-da-Silva1,2,3; Manuel
Santos Rosa5; Vera Moura1,8; João Ramalho-Santos4,9; Sérgio Simões1,2; João Nuno
Moreira1,2,*
Ciências da Saúde, Azinhaga de Santa Comba, Coimbra, 3000-548, Portugal;
3
PhD Program in
Experimental Biology and Biomedicine (PDBEB), Center for Neuroscience and Cell Biology, University of
4
Coimbra, Faculty of Medicine (Polo I), Rua Larga, Coimbra, 3004-504, Portugal, Biology of Reproduction
and Stem Cell Group, Center for Neuroscience and Cell Biology, University of Coimbra, Faculty of
Medicine (Polo I), Rua Larga, Coimbra, 3004-504, Portugal;
5
Immunology Institute, Faculty of Medicine
(Polo I), University of Coimbra, Rua Larga, Coimbra, 3004-504, Portugal;
6
Immunology and Oncology
Laboratory, Center for Neuroscience and Cell Biology, University of Coimbra, Faculty of Medicine (Polo I),
Rua Larga, Coimbra, 3004-504, Portugal;
7
IIIUC - Institute for Interdisciplinary Research, University of
Coimbra, Casa Costa Alemão (Polo II), Rua Dom Francisco de Lemos, Coimbra, 3030-789, Portugal;
8
9
TREAT U, S.A., Parque Industrial de Taveiro, Lote 44, Coimbra, 3045-508, Portugal; Department of Life
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Sciences, Faculty of Sciences and Technology, University of Coimbra, Calçada Martim de Freitas,
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Coimbra, 3000-456, Portugal.
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*Corresponding author
João Nuno Moreira, PharmD, MSc, PhD
Center for Neuroscience and Cell Biology
University of Coimbra
Faculty of Medicine (Polo I), Rua Larga
3004-504 Coimbra, Portugal
Tel: +351 916 885 272
E-mail: jmoreira@ff.uc.pt
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Abstract
Breast cancer stem cells (CSC) are thought responsible for tumor growth and relapse,
metastization and active evasion to standard chemotherapy. The recognition that CSC
may originate from non-stem cancer cells (non-SCC) through plastic epithelial-tomesenchymal transition turned these into relevant cell targets. Of crucial importance for
successful therapeutic intervention is the identification of surface receptors
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overexpressed in both CSC and non-SCC. Cell surface nucleolin has been described
as overexpressed in cancer cells as well as a tumor angiogenic marker. Herein we
have addressed the questions on whether nucleolin was a common receptor among
breast CSC and non-SCC and whether it could be exploited for targeting purposes.
Liposomes
functionalized
with
the
nucleolin-binding
F3
peptide,
targeted
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simultaneously, nucleolin-overexpressing putative breast CSC and non-SCC, which
was paralleled by OCT4 and NANOG mRNA levels in cells from triple negative breast
cancer (TNBC) origin. In murine embryonic stem cells, both nucleolin mRNA levels and
F3 peptide-targeted liposomes cellular association were dependent on the stemness
status. An in vivo tumorigenic assay suggested that surface nucleolin overexpression
per se, could be associated with the identification of highly tumorigenic TNBC cells.
This proposed link between nucleolin expression and the stem-like phenotype in
TNBC, enabled 100% cell death mediated by F3 peptide-targeted synergistic drug
combination, suggesting the potential to abrogate the plasticity and adaptability
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associated with CSC and non-SCC.
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Ultimately, nucleolin-specific therapeutic tools capable of simultaneous debulk multiple
cellular compartments of the tumor microenvironment may pave the way towards a
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specific treatment for TNBC patient care.
Keywords: triple negative breast cancer, cancer stem cells, non-stem cancer cells,
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nucleolin, targeting.
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Introduction
Breast cancer is a highly complex disease owing to intrinsic molecular and cellular
heterogeneity associated with the tumor microenvironment [1]. The discovery of cancer
stem cells (CSC) in solid tumors, as in breast [2], has greatly contributed to the
establishment of the cancer stem cell model as a driver of tumor heterogeneity [3].
According to this model, tumor initiating cells (TIC) are a selected subset of CSC, with
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increased capacity to generate tumors in vivo [4]. Established in vivo by the limiting
dilution assay, a given cell population, selected by any given marker(s), is considered
to have a CSC phenotype when they are more tumorigenic (thus TIC-enriched) as
compared to other cell sub-populations [4]. Several markers, including CD44, CD24
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and aldehyde dehydrogenase (ALDH), have successfully been used to identify highly
tumorigenic putative CSC sub-populations in breast tumors [2, 5].
The sub-populations of breast cancer cells with stem-like characteristics, with
increased tumorigenic capacity and the ability to recapitulate the tumor environment,
have been associated with metastization, tumor relapse, poor disease prognosis and
active evasion to standard chemotherapy [2, 3, 5, 6]. Overall, CSC represent a relevant
therapeutic target aiming at successfully tackle tumor development and drug
resistance. Currently, different drugs targeting developmental-associated pathways,
such as Notch or Wnt signaling, known to control CSC self-renewal and maintenance
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are in clinical development [7]. This includes, for example, inhibitors of γ-secretase (a
Notch checkpoint activator), such as MK0752 or RO492909, for the treatment of
(NCT00106145)
or
triple
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advanced
negative
breast
cancer
(NCT01238133),
respectively [7]. In addition, canonical pathways, including PI3k/Akt signaling, are
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essential for CSC proliferation and survival [8]. A double PI3k/mTOR inhibitor, VS5584, is under clinical development against advanced non-hematologic malignancies
and lymphoma (NCT01991938) [9]. However, single drug regimes, targeting
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specifically cells with CSC phenotype, could be undermined by their plasticity and
adaptability, enabling tumors to evade treatments and CSC enrichment [10]. In spite of
combination chemotherapy is a widely adopted strategy to overcome drug resistance
[11] its efficacy, upon systemic administration, can be limited owing to differences in
pharmacokinetics, thus impairing tumor accumulation of the needed drug ratio,
essential to hinder growth and proliferation of different cells within a solid tumor [12].
Provided the necessary accessibility to the CSC niche [13], nanotechnology-based
strategies, enabling the simultaneous temporal and spatial delivery of drug
combinations, targeting different signaling pathways activated in different tumor cells
sub-populations, endows great potential to specifically overcome drug resistance.
However, success is highly dependent on the identification of surface receptors [14],
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preferentially overexpressed in both CSC and non-SCC (non-stem cancer cells) [3].
This is an aspect of primordial importance from a therapeutic standpoint, as it has been
demonstrated that CSC can originate from non-SCC in an Epithelial-to-Mesenchymal
Transition (EMT) dependent process, fuelling tumor growth [15].
Nucleolin, besides being overexpressed in cancer cells [16], is a marker of angiogenic
blood vessels, mediating the anti-angiogenic and anti-tumoral activity of endostatin [17,
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18]. Such features rendered nucleolin as an important target in cancer therapy,
reinforced by the further development of several targeting moieties towards this protein
[16, 19]. Accordingly, we have recently developed a F3 peptide-targeted liposomal
strategy, targeting cell surface nucleolin, for the simultaneous delivery of a synergistic
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combination of the pro-apoptotic C6-ceramide (C6-Cer), an inhibitor of PI3K/Akt
signaling, and doxorubicin (DXR), a cornerstone topoisomerase II inhibitor for breast
cancer treatment, aiming at promoting cancer cell death [20].
Building on current state-of-the-art, we recognize that identification of surface receptors
enabling specific targeting of both CSC and non-SCC will be crucial to provide longterm disease free survival. Exploiting the described nucleolin role in the stemness
maintenance of embryonic stem cells [21], as well as its increasing relevance in cancer
development [22], the present work aims at assessing the potential of cell surface
nucleolin as a target receptor in breast CSC (and non-SCC) for active intracellular
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delivery of the F3 peptide-targeted liposomal synergistic DXR/C6-Cer combination,
aiming at ablating both breast CSC and non-SCC, strong contributors for tumor
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heterogeneity and drug resistance.
Materials
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Materials and methods
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MCF-7, MDA-MB-231 and MDA-MB-435S cell lines were acquired from ATCC
(Virginia, USA). Doxorubicin hydrochloride (DXR) was from IdisPharma (UK). Calcein,
4-(2-Hydroxyethyl)piperazine-1-ethanesulfonic
Morpholino)ethanesulfonic
dehydrate
(EDTA),
acid
(MES),
Trizma®Base,
acid
Disodium
(HEPES),
2-(N-
ethylenediaminetetraacetate
3-(4,5-Dimethyl-2-thiazolyl)-2,5-diphenyl-2H-
tetrazolium bromide (MTT), sodium chloride (NaCl), 3β-hydroxy-5-cholestene-3hemisuccinate (CHEMS) and cholesterol (CHOL) were purchased from Sigma-Aldrich
(USA).
The
lipids
2-dioleoyl-sn-glycero-3-phosphoethanolamine
distearoyl-sn-glycero-3-phosphocholine
(DSPC),
phosphoethanolamine-N-[methoxy(polyethylene
(DOPE),
1,2-
1,2-distearoyl-sn-glycero-3-
glycol)-2000]
(DSPE-PEG2k),
1,2-
distearoyl-sn-glycero-3-phosphoethanolamine-N-[maleimide(polyethylene glycol)-2000]
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(DSPE-PEG2k-maleimide), L-α-Phosphatidylethanolamine-N-(lissamine rhodamine B
sulfonyl) (RhoB-PE), N-hexanoyl-D-erythro-sphingosine (C6-Ceramide) were acquired
from Avanti Polar Lipids (USA). F3 (KDEPQRRSARLSAKPAPPKPEPKPKKAPAKK)
and the non-specific (NS) peptides were custom synthesized by Genecust
(Luxemburg). All other chemicals were of analytical grade purity.
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Cell culture
Wild-type E14 mESC (E14-wt), derived by Dr. Martin Hooper from the mouse strain
129/Ola, or Oct4-GFP fusion protein-expressing E14 mESC (E14-GFP) [23, 24] were
maintained in feed-layer free conditions in KnockOut-Dubelcco’s Modified Eagle’s
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Medium (GIBCO Life Technologies, USA) supplemented with 15% KnockOut Serum
Replacement (KSR - GIBCO Life Technologies, USA), 100 U/mL of penicillin and 100
µg/mL of streptomycin (GIBCO Life Technologies, USA), 1% Minimum Essential
Medium non-essential aminoacids (Sigma-Aldrich, USA), 1% L-glutamine (2 mM)
(GIBCO Life Technologies, USA), 0.1 mM β-Mercaptoethanol (Sigma-Aldrich, USA) in
the presence of 10 U/mL of leukemia inhibitory factor (LIF) (Millipore, USA) at 37ºC in
an atmosphere of 5% CO2.
MCF-7 (luminal) and MDA-MB-231 (triple negative) breast cancer cells lines, and MDAMB-435S cell line were acquired from ATCC (Virginia, USA) and cultured in RPMI 1640
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(Sigma-Aldrich, USA) supplemented with 10% (v/v) of heat-inactivated Fetal Bovine
Serum (FBS) (Invitrogen, USA), 100 U/mL penicillin, 100 µg/mL streptomycin (Lonza,
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Switzerland) and maintained at 37°C in a 5% CO2 atmosphere. Cells were routinely
tested for mycoplasma contamination and morphology was assessed by microscopy.
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Nucleolin expression levels were verified based on cell-associated fluorescence
following incubation with rhodamine-labelled F3 peptide-targeted liposomes, and
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compared with positive controls our group has been collected in the last nine years.
Preparation of Liposomes
pH-sensitive
liposomes
without
ceramide
were
composed
of
DOPE:CHEMS:DSPC:CHOL:DSPE-PEG2k (4:2:2:2:0.8 molar ratio) and pH-sensitive
liposomes
incorporating
ceramide
were
composed
of
DOPE:CHEMS:DSPC:CHOL:DSPE-PEG2k:C6-ceramide (4:2:1:1:0.8:2 molar ratio).
Liposomes were prepared by the ethanol injection procedure [25]. Ethanolic lipid
mixtures were added to ammonium sulfate buffer (pH 8.5) at 60°C and the resulting
liposomes were extruded through 80 nm pore size polycarbonate membranes using a
LiposoFast Basic mini extruder (Avestin, Canada). The buffer was exchanged in a
Sephadex G-50 gel column (Sigma-Aldrich, USA) equilibrated with Trizma®Base
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sucrose (10%) buffer (pH 9.0). Encapsulation of DXR was carried out through
ammonium gradient method, upon incubation with liposomes for 1.5 h at 60°C. Nonencapsulated DXR was removed using a Sephadex G-50 gel column equilibrated with
25 mM HEPES, 140 mM NaCl buffer (pH 7.4).
Targeted liposomes were prepared by post-insertion of DSPE-PEG2k-F3 conjugate in a
micellar form [26]. Briefly, thiolated derivative of F3 peptide was generated by reaction
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at room temperature with 2-iminothiolane (Sigma-Aldrich) in 25 mM HEPES, 140 mM
NaCl, 1 mM EDTA buffer (pH 8.0) for 1 h in an inert N2 atmosphere. Thiolated
derivatives were then incubated overnight at room temperature with DSPE-PEG2kmaleimide micelles in 25 mM HEPES, 25 mM MES, 140 mM NaCl, 1 mM EDTA (pH
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7.0). Micelles were then added to pre-formed liposomes, at 2 mol% relative to total
lipid (TL), and DSPE-PEG2k-Peptide conjugates post-inserted onto the liposomal
membrane upon incubation for 1 h at 50°C.
For preparation of calcein-loaded liposomes, ammonium sulfate buffer was replaced by
a 40 mM calcein solution, and the resulting liposomes were extruded as described
above. Calcein excess was removed through a Sephadex-G50 column equilibrated
with 25 mM HEPES, 140 mM NaCl buffer (pH 7.4), and the liposomes immediately
submitted to the post-insertion procedure as previously described.
Additionally, to prepare rhodamine B-tagged liposomes, RhoB-PE lipid was added to
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the above lipid mixture (1 mol% of total lipid), and the ethanol solution was added to 25
mM HEPES, 140 mM NaCl buffer (pH 7.4). The resulting liposomes were extruded and
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preceded to post-insertion, as described above.
The developed F3 peptide-targeted liposomes presented physico-chemical properties
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compatible with intravenous administration [27]. In fact, F3 peptide-targeted liposomes
encapsulating the DXR:C6-ceramide combination, either at 1:1 (p[F3]DC11]) or 1:2
molar ratio (p[F3]DC12), presented a mean size of ≈150 nm, with a polydispersion
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index of ≈0.1 (a measure of size homogeneity, with optimal values falling below 0.3).
These values were within the same range of F3 peptide-targeted liposomes
encapsulating only DXR (p[F3]SL) [20]. In addition, the DXR loading was 138.0 ± 6.8
nmol/µmol of lipid and 68.5 ± 5.1 nmol/µmol of lipid for p[F3]DC11 and p[F3]DC12
(containing half of the amount of DXR per liposome), respectively (loading efficiency
≈75%). In addition, liposomes encapsulating the drug combination retained more than
90% of DXR upon incubation in serum for 4 h at 37ºC [20], thus sharing similar stability
with F3 peptide-targeted liposomes encapsulating only DXR [19].
PEGylated liposomes similar to the ones used herein have been previously
characterized [28]. Electron microscopy and NMR studies demonstrated that they
present a uniform lamellar structure with PEG-DSPE grafted onto the surface, and
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doxorubicin sulfate crystals entrapped in the inner aqueous core, upon remote loading
using ammonium sulfate gradient [28-30]. The presence of DSPE-PEG2k (at 7.5 mol%)
renders a hydration layer on the liposomal surface, which contributes to a zetapotential close to neutrality [31]. DSPE-PEG2k also prevents phase separation that
could result from the presence of ceramide (alone), thus contributing to the
homogeneity of the lipid bilayer [32]. This effect, along with the additional hydration
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layer provided by the F3 peptide, could be responsible for the increased stability in
terms of size and aggregation properties that we have previously observed [20].
Cellular association of F3 peptide-targeted nanoparticles with putative breast
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cancer stem cells
Half-million MCF-7 or MDA-MB-231 breast cancer cells, known to contain functional
cancer stem cells [6, 33-35], were incubated with F3 peptide- or non-targeted
rhodamine-labelled liposomes, or liposomes targeted by a non-specific peptide, at 0.4
mM of total lipid, for 1 h at 37ºC or 4ºC. After washing, cells were stained aiming at
identifying cancer stem cells, as previously described [33]. Briefly, cells were first
incubated with anti-CD44-PE/Cy5 antibody [rat IM7 clone] (Abcam, UK) or IgG2b
isotype control (Biolegend, USA) for 30 min at 4ºC, in PBS buffer with 1% bovine
serum albumin (BSA) and 0.1% sodium azide (PBS-BSA). Cells were then washed
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with PBS-BSA and incubated with ALDEFLUOR® reagent (StemCell Technologies,
Canada) for identification of aldehyde dehydrogenase (ALDH) activity, according to the
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manufacturer instructions. The cell-associated rhodamine signal was immediately
analyzed by flow cytometry in a BD FACSCalibur system (BD Biosciences, USA) and a
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total of 30,000 events were collected. Appropriate controls were used to assure correct
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compensation of fluorescence signals in each channel.
Establishment of mammospheres from sorted sub-populations
Mammosphere formation assay was used as a measure of stemness capability of subpopulations isolated from cell lines. Briefly, 2 x 106 MDA-MB-231 or MCF-7 cells were
stained with CD44-PE/Cy5 and ALDEFLUOR® reagent as described above in PBS
buffer with 1% BSA. Afterwards, sorting of ALDHhi/CD44hi and ALDHlow/-/CD44low/- cells
was performed with a BD FACSAria III cell sorter (BD Biosciences, USA), collecting 515% and 15-20% of each selected sub-population, respectively, depending on the cell
line tested [33]. Sorted cells were then seeded for mammosphere formation, as
previously described [34, 36]. Briefly, 5000 single ALDHhi/CD44hi or ALDHlow/-/CD44low/cells were seeded in 2 mL Mammocult® Medium supplemented with 4 µg/mL of
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heparin and 0.5 µg/mL of hydrocortisone (StemCell Technologies, Canada) per well, in
low-adhesion 6-well plates (Greiner, Austria). For 1st generation sphere formation, cells
were maintained for 10-21 days, depending on the cell line. To assess self-renewal, 1st
generation spheres were collected by centrifugation at 115 g for 5 min, and then
dissociated with 0.5% Trypsin (Sigma-Aldrich, USA). Five thousand mammospherederived single cells of each population were then seeded as described above for 7 to
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21 days. Mammosphere formation efficiency was assessed upon image acquisition (9
random images per well) using either an Axiovert 200M microscope (5x objective) or an
Axiovert 40C coupled to Canon Powershot G10 camera (10x objective), both controlled
by Axiovision software (version 4.8.2) (Zeiss, Germany). Image analysis and
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mammosphere counting was performed using Fiji software (US National Institutes of
Health). Mammosphere formation efficiency (%) was calculated by the formula
[(Number of spheres/ Number of total events)] x 100, where Total events are a sum of
the number of mammospheres and single cells.
Intracellular delivery to 2nd generation mammosphere-derived single cells
Second generation mammospheres of each population from the triple negative MDAMB-231 and luminal MCF-7 breast cancer or MDA-MB-435S cell lines were dissociated
as described above to obtain single-cell suspensions, and cellular condition was
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evaluated by trypan-blue exclusion assay (a dye that only penetrates cells with
damaged cellular membranes [37]). Fifty thousand cells were incubated with 50 µM of
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calcein-loaded liposomes for 1 h at 37°C. After was hing, cells were analyzed by flow
cytometry and events were assessed using Cell Quest Pro software (BD Biosciences,
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USA). Forward and side scatter properties (measuring cell size and complexity,
respectively) were monitored to ensure that cellular integrity did not change among the
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tested liposomal formulations (Fig. S3A).
Evaluation of mRNA levels of nucleolin and pluripotency transcription factors
NANOG and OCT4
Nucleolin, NANOG and OCT4 mRNA levels in both mESC and breast CSC and nonSCC were evaluated. Briefly, E14 mESC were cultured for 72 h, as colonies, in
medium either fully supplemented, maintaining pluripotency status (as described in Cell
Culture section), in the absence of LIF or in the absence of both LIF and KSR,
conditions under which pluripotency is lost. Additionally, 16 x 106 MDA-MB-231 or 24 x
106 MCF-7 cells were stained with CD44-PE/Cy5 and ALDEFLUOR® as described
above, and both ALDHhi/CD44hi (CSC) and ALDHlow/-/CD44low/- (non-SCC) sub-
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populations were sorted as described in the mammosphere assay. Upon cell collection,
total RNA isolation was performed using the TRIzol® reagent (Invitrogen, Life
Technologies, USA). A step of DNA cleanup was introduced using DNA-free™ kit
(Ambion, Life Techologies, USA) as per manufacturer instructions. Afterwards RNA
concentration and quality were determined using NanoDrop 2000 (Thermo Scientific,
USA). Samples presenting a 260/280 ratio under 1.8 were discarded. Samples of total
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RNA were stored at -80°C until use [38]. cDNA was o btained using the iScript™ cDNA
Synthesis kit (BioRad, USA) according to the protocol established from the
manufacturer, using a S1000™ Thermal Cycler (BioRad, USA) programmed as follows:
5 min at 25°C; 30 min at 42°C; 5 min at 85°C and ho ld at 4°C for 1 h. Using species-
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specific pairs of primers, nucleolin, NANOG and OCT4 gene expression was quantified
by qRT-PCR using β-ACTIN as housekeeping gene for data normalization. The primers
(see
Table
S1)
were
obtained
(http://pga.mgh.harvard.edu/primerbank/)
from
and
a
primer
acquired
bank
from
data
Integrated
base
DNA
Technologies (IDT). SsoFast™ EvaGreen® Supermix (Bio-Rad, USA) was used to
perform analysis of samples that were run in CFX96 Touch™ Real-Time PCR
Detection System (BioRad, USA). mRNA fold change was calculated using the 2-∆∆Ct
method [25].
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Cellular association of F3 peptide-targeted nanoparticles with embryonic stem
cells
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For the cellular association studies, E14-wt or E14-GFP mESC cells were cultured for
72 h, as colonies, in medium either fully supplemented, maintaining pluripotency status
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(as described in Cell Culture section), or in the absence of LIF and KSR (conditions
under which pluripotency status is lost). Cells were then incubated with 0.4 mM of
rhodamine-labelled F3 peptide-targeted or non-targeted liposomes, or liposomes
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targeted by a non-specific peptide for 1 h, at 4ºC or 37ºC, either as cell suspension or
as colonies. Upon washing, cellular association was analyzed by flow cytometry. Nonviable cells were excluded from the analysis using 7-aminoactinomycin D (7-AAD)
(Sigma-Aldrich, USA).
Assessment of tumorigenic potential of sorted breast cancer cell subpopulations
The tumor initiating capacity of sorted sub-populations from triple negative breast
cancer cell line (either ALDH/CD44 or cell surface NCL-based selection), was
evaluated. Briefly, 8 x 106 MDA-MB-231 breast cancer cells were stained with
ALDEFLUOR® and CD44-PE/Cy5, and both ALDHhi/CD44hi (CSC) and ALDHlow/-
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/CD44low/- (non-SCC) sub-populations were sorted as described in the mammosphere
assay. Additionally, 90 x 106 cells were stained with anti-NCL-AlexaFluor®488 [mouse
364-5 clone] (Abcam, UK) or IgG1k isotype control (Affymetrix, USA) for 30 min at 4oC
in PBS buffer with 1% BSA. Non-viable cells were excluded using 7-AAD to ensure that
only viable, cell surface nucleolin positive (NCL+) and negative (NCLlow/-) cells were
sorted. All cell sub-populations were further resuspended in 1:1 PBS:Extracellular
orthotopically
inoculated
in
both
contralateral
immunocompromised female mice (NOD.Cg-Prkdc
scid
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Matrix (ECM) (Sigma-Aldrich, USA) mixture and 2000 or 20000 cells were
mammary
tm1Wjl
Il2rg
fat
pads
of
/SzJ strain, a.k.a. NOD
scid gamma (NSG)), Charles River, France), as previously described [35]. Mice were
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monitored for tumor formation by palpation once-a-week post-inoculation by two
independent researchers. Tumor-initiating cell (TIC) frequency was determined by
limiting dilution analysis [39] using the L-Calc™ software package (v1.1) (StemCell
Technologies, Canada). The animal experiments were approved by CNC ethical
committee and Portuguese National Authority (Direcção Geral de Alimentação e
Veterinária) and conducted according to accepted standards of animal care
(2010/63/EU directive and Portuguese Act 113/2013).
Cytotoxicity of F3 peptide-targeted doxorubicin (DXR):C6-ceramide (C6-Cer)
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liposomal synergistic combinations against putative breast cancer stem cells
The cytotoxic potential of F3 peptide targeted delivery of the synergistic DXR:C6-Cer
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drug combinations was further evaluated. First, to validate C6-Ceramide as valuable
drug against putative CSC, impact on cell viability was assessed. Briefly, 0.25 x 106
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MDA-MB-231, MCF-7 or MDA-MB-435S cells were incubated with indicated
concentrations of C6-ceramide for 24 h at 37°C. Cel ls were then double-stained with
ALDEFLUOR® reagent, as described by the manufacturer, and 7-AAD (Sigma-Aldrich,
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USA), as an indicator of cell viability [40]. Cells were immediately analyzed by flow
cytometry and the collected events evaluated with Cell Quest Pro software.
The cytotoxic potential of F3 peptide-targeted doxorubicin (DXR):C6-ceramide (C6Cer) liposomal synergistic combinations [20] against putative breast cancer stem cells
was then assessed. In brief, 2nd generation spheres from MDA-MB-231 cell line
adhered to 96-well plates for 4 h, in RPMI 1640 supplemented with 10% FBS.
Afterwards, cells were incubated with serial dilutions of DXR-encapsulating liposomes,
for 24 h at 37°C/5% CO 2, after which cell culture medium was exchanged for fresh one
and the experiment extended up to 96 h. Cell viability was assessed by the resazurin
reduction assay, by monitoring absorbance at 570 nm and 600 nm (background) in a
Spectramax Gemini EM (Molecular Devices, USA). Cell death was calculated by the
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formula [100 – ((Test570-600 – CtrNeg570-600)/(Ctr570-600 – CtrNeg570-600)) x 100)], where
Test570-600 is the corrected absorbance for treated cells, Ctr570-600 is the corrected
absorbance for untreated controls and CtrNeg570-600 is the corrected absorbance for the
negative control.
Results
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Association of F3 peptide-targeted liposomes with putative breast cancer stem
cells
Identification of putative breast CSC in MCF-7 and triple negative MDA-MB-231 breast
cancer cell lines was carried out using ALDEFLUOR® reagent and CD44 as previously
described [5, 15] (Fig. 1A). Accordingly, in order to understand if one could actually
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deliver a payload into identified putative breast CSC, we defined a gating strategy (Fig.
1B) enabling the evaluation of cellular association of F3 peptide-targeted fluorescently
labelled liposomes with the different sub-populations expressing various levels of
ALDH and CD44 (Fig. 1 C and D). The results clearly indicated that the F3 peptidetargeted liposomes (p[F3]SL) presented 3.2 (MCF-7, Fig. 1E) and 2.6-fold (MDA-MB231, Fig. 1F) higher cellular association with ALDHhi/CD44hi population (CSC) when
compared to the ALDH-/low/CD44low/- population (non-SCC), an effect that was
dependent on the presence of the F3 peptide. Additionally, F3 peptide-targeted
liposomes (p[F3]SL) also associated with ALDHhi/CD44low/- and ALDHlow/-/CD44hi
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populations, which might represent intermediate stages in the hierarchical organization
of the cancer cell lines (Fig. 1 E and F). Similarly, the same observations were made
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for a MDA-MB-435S cell line (Fig. S1). Furthermore, at 4⁰C, a temperature not
permissive to endocytosis, the F3 peptide-targeted liposomes presented lower cellular
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association with the different sub-populations in both cell line models, thus indicating
that an energy-dependent internalization was taking place in all of them (Fig. 1 E and F
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and Fig. S1).
Assessment of drug delivery to mammosphere-derived breast cancer stem cells
The putative CSC phenotype was validated through the assessment of the in vitro
phenotypical characteristics of the selected ALDHhi/CD44hi and ALDHlow/-/CD44low/populations, through evaluation of mammosphere formation and self-renewal (Fig. 1A).
Results demonstrated that both isolated sub-populations from each of the cell lines
tested were able to form 1st and 2nd mammospheres (Fig. S2 A and B). Strikingly
though, while ALDHhi/CD44hi population maintained 2nd generation mammosphere
formation efficiency, for both of MCF-7 and MDA-MB-231, ALDHlow/-/CD44low/- lost, in
part, their capacity to generate spheres (Fig. S2C). Overall, these results indicated that
both populations
have different
stem
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and self-renewal potentials,
therefore
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representing putatively different hierarchical clusters. Notably, F3 peptide-targeted
liposomes enabled efficient delivery of encapsulated calcein to single cells derived from
2nd generation mammospheres of both sub-populations (Fig. 1 G and H, Fig. S3).
These results reinforce the ability of liposomes functionalized with F3 peptide to target
breast CSC and non-stem cancer cells, as well as nucleolin overexpression in
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mammospheres from both sub-populations.
Nucleolin and pluripotency markers mRNA levels in breast CSC and mESC
The results from previous sections suggested that nucleolin expression in breast CSC
could be paralleled by the expression of pluripotency genes, also known to be
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upregulated in cancer [41]. To test this hypothesis, we evaluated the pluripotency
transcription factors NANOG and OCT4 and, concomitantly, the nucleolin mRNA levels
in sorted sub-populations from breast cancer cell lines, as well as in mouse embryonic
stem cells (mESC) used herein as phenotypic controls owing to the high conservation
of nucleolin among species [42] (Fig. 2A). Indeed, when mESC were cultured in
conditions favoring pluripotency loss, there was a decrease of NANOG and OCT4
mRNA levels that were paralleled by nucleolin (Fig. 2B and Fig. S4), in agreement with
published data [21].
According to its role in cancer, one could think that nucleolin would be homogenously
in
cancer
cells.
Strikingly,
MDA-MB-231
putative
breast
CSC
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expressed
(ALDHhi/CD44hi) presented 1.5-fold higher nucleolin mRNA level relative to non-SCC
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(ALDHlow/-/CD44low/-) (Fig. 2C). Moreover, the increased levels of nucleolin were
paralleled by the overexpression of NANOG and OCT4 in breast CSC (Fig. 2C). In
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spite of following the same trend, the results obtained with MCF-7 cell line were highly
variable (Fig. 3D). These results support the enhanced cellular association of F3
peptide-targeted liposomes with putative breast CSC, as well as the increased
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mammosphere formation efficiency of those as compared to non-SCC (Fig. 1 E and F
and Fig. S2C).
Overall, the identified putative CSC populations are enriched for stem-like cells, as
compared to non-SCC, indicating that nucleolin is in fact associated with the former
phenotype.
Cellular association of F3 peptide-targeted nanoparticles with embryonic stem
cells
Besides of its expression in different cellular compartments, nucleolin is also involved
in embryonic stem cell self-renewal [18, 21]. Those facts, supported by the results from
previous sections, raised the question on whether the nucleolin-mediated cellular
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association of F3 peptide-targeted liposomes would be dependent on the stemness
status. Accordingly, we evaluated the cellular association of F3 peptide-targeted
liposomes after culturing mESC in conditions either impairing or favoring pluripotency
(Fig. 3A).
F3 peptide-targeted liposomes (p[F3]SL) associated with mESC in an extent
significantly higher than non-targeted or non-specific targeted counterparts, and in a
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ligand-specific manner (Fig. 3B-D). Furthermore, the association of F3 peptide-targeted
liposomes decreased upon incubation at 4ºC, a temperature non-permissive to
endocytosis, suggesting that an active internalization through receptor-mediated
endocytosis was taking place (Fig. 3 B and C). Strikingly, culturing E14-GFP mESC
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cells without LIF and serum replacement (KSR) (thus inducing pluripotency loss, a
condition supported by the decreased levels of the Oct4-GFP fusion protein, Fig. 3E)
resulted in a significant reduction in cellular association, to levels close to the ones
observed for non-targeted liposomes (Fig. 3C). Performing the experiment with cell
colonies, F3 peptide-targeted liposomes associated with E14-GFP mESC cells,
nonetheless in a lower extent (6.6-fold) (Fig. 3 B and D) than the one observed with
cells in suspension (Fig. 3C). Such results could be explained by the lower accessibility
of the targeted liposomes to E14 cells in colony, as well as by the increased surface
area available for targeting when the experiment is performed with the cells in
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suspension. This was reinforced by the 3.2-fold increase in cellular association
obtained for cells grown in absence of LIF and KSR, as compared to standard growth
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conditions, since the resulting colonies were smaller thus facilitating the nanosystem
access (Fig. 3D).
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Overall, these results strongly suggest that cell membrane nucleolin levels decrease
according to cell pluripotency status, which is accompanied by reduction of Oct4
protein and therefore highly consistent with mRNA levels determination (Fig. 2B), thus
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revealing that cellular association of F3 peptide-targeted liposomes is stemness statusdependent.
Evaluation of the tumorigenic potential of cell surface nucleolin positive cells
and putative breast CSC
The above observations led one to question whether cell surface nucleolin
overexpression could enable the identification of highly tumorigenic cells (Fig. 4A).
Tumor development latency analysis revealed that NCL+ cells initiated tumors 1.43-fold
faster that NCLlow/- cell sub-population at 2000 inoculated cells (not observed at 20000
inoculated cells) (Fig. 4B). Additionally, ALDHhi/CD44hi cells had increased tumor
initiation capacity as compared with ALDHlow/-/CD44low/- (1.32 and 1.37-fold for 2000
13
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and 20000 inoculated cells, respectively) (Fig. 4B), a feature consistent with literature
[2, 5]. Strikingly, NCL+ and ALDHhi/CD44hi cell sub-populations demonstrated an
increased capacity to generate orthotopic tumors as compared with NCLlow/- and
ALDHlow/-/CD44low/- sub-populations, respectively (Table 1). This translated into a higher
frequency of TIC within ALDHhi/CD44hi (putative breast CSC) and NCL+ subpopulations compared to the non-SCC (ALDHlow/-/CD44low/-) and NCLlow/- sub-
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populations (3.4 and 8-fold respectively, at 6 weeks) (Table 1). Noteworthy, overtime
(until 10 weeks post cell inoculation), all sorted populations were able to seed the
majority of new tumors (Table 1).
Overall, these results suggest that overexpression of cell surface nucleolin per se could
be useful for the identification of highly tumorigenic cells. The tumorigenic potential of
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putative CSC, non-SCC and NCL+ tumor cells emphasizes the need to target
simultaneously several populations within the tumor microenvironment, aiming at
successful therapeutic intervention. In this respect, and based on the results previously
presented, liposomes functionalized with the F3 peptide and targeting nucleolin are a
drug carrier with great therapeutic potential.
Cellular cytotoxicity mediated by F3 peptide-targeted combination of doxorubicin
and C6-ceramide
In order to overcome drug resistance, often associated with CSC, it has been
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recognized that the successful application of small molecules in cancer therapy
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requires the identification of agents that, when combined, lead to synergistic tumor
inhibition without significant systemic toxicity [3, 11, 43, 44]. Exploring the nanoparticlemediated simultaneous spatial and temporal delivery of combinations [12] and the
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enhanced specific intracellular delivery [19, 27], herein we evaluated the cytotoxic
impact of a F3 peptide-targeted synergistic combination of doxorubicin (DXR) and C6-
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ceramide, that we have previously developed [20], against putative breast CSC.
At the highest concentration tested, C6-ceramide induced a 2.5- and 2.1-fold decrease
in the number of viable ALDHhi cells (ALDHhi/7AAD-) from MCF-7 and MDA-MB-231
breast cancer cells, respectively, an effect apparently independent of C6-ceramide
concentration (Fig. 5 A and B). CSC were shown to be resistant to DXR action
compared to non-SCC [33]. By impairing ALDHhi cell viability, the aforementioned result
supported the use of C6-Ceramide and DXR combinations. Accordingly, we evaluated
the cytotoxicity of the DXR/C6-ceramide synergistic combination encapsulated in F3
peptide-targeted liposomes against mammospheres, known to better predict in vivo
drug responses [36].
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The cytotoxicity results obtained with MDA-MB-231 2nd generation mammospheres
indicated that ALDHhi/CD44hi cells were more resistant to F3 peptide-targeted
doxorubicin (p[F3]SL(DXR)) than ALDHlow/-/CD44low/- cells. Notwithstanding, targeting
these cell sub-populations through the nucleolin receptor, with the liposomal DXR,
functionalized with the F3 peptide, enabled an IC90 lower than non-targeted formulation
(pSL(DXR)) (Fig. 5 C and D). However, the co-encapsulation of DXR and C6-ceramide
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at 1:1 (p[F3]DC11) and 1:2 (p[F3]DC12) molar ratios in the F3 peptide-targeted
nanoparticle enabled 100% cell death, while decreasing DXR IC90 (4-fold in case of
ALDHhi/CD44hi cells) (Fig. 5 C and D), a condition not achievable with the single drug
(DXR)-containing F3 peptide targeted nanoparticle. In addition, it was apparent that F3
peptide-targeted delivery of DXR:C6-Ceramide combination decreased the IC90 of DXR
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to similar values in both sensitive (ALDHlow/-/CD44low/-) and more resistant
(ALDHhi/CD44hi) cell sub-populations (Fig. 5D), thus seemingly overcoming putative
CSC-associated DXR resistance.
Discussion
The CSC represent cellular populations with stem-like features responsible for tumor
development
and
heterogeneity,
drug
resistance
and
disease
relapse
[3].
Notwithstanding, the acknowledgement that CSC may originate from non-SCC,
interconverting through an EMT-mediated process [15] has turned these cell sub-
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populations into two relevant therapeutic targets [3]. Therefore, to specifically tackle the
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disease at its roots, one has to find suitable molecular targets that enable simultaneous
targeting of both CSC and non-SCC, provided the necessary accessibility to the CSC
niche [3, 13].
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Nucleolin, thought as homogenously overexpressed by cancer and angiogenic
endothelial cells, has been exploited as a molecular target for drug delivery with
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nanotechnology-based strategies [19]. It was demonstrated herein that a F3 peptidetargeted lipid-based nanoparticle was actively internalized by both breast non-SCC
(ALDHlow/-/CD44low/-) and, in a higher extent, putative CSC (ALDHhi/CD44hi) (Fig. 1 E
and F), enabling the delivery of the liposomal payload (Fig. 1H) into these subpopulations of cells with different stem-like phenotype (Fig. S2C). The extent of cellular
association is consistent with our previous data on cancer cells [19], and therefore we
hypothesize that receptor-mediated internalization followed by escape from endocytic
route [19, 45], remains valid in CSC. In addition, simultaneous targeting of multiple
cancer cell populations introduces a critical feature sought to be essential for next
generation of cancer therapy [3]. Those results suggested that nucleolin could be
expressed at different densities among those sub-populations. In addition, it is known
15
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that nucleolin [19] and pluripotency markers [41] are expressed in both tumors and
breast cancer cells. Nonetheless, the simultaneous upregulation in putative breast CSC
has never been described.
We have shown an upregulation of mRNA levels of the pluripotency markers NANOG
and OCT4, which was paralleled by nucleolin, in triple negative putative breast CSC as
compared to non-SCC (Fig. 2C), supporting the cellular association with both cells (Fig.
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1F) and 2nd generation mammosphere-derived single MDA-MB-231 cells (Fig. 1H) as
well as differences in stem-like phenotype (Fig. S2). To our best knowledge, this
association was only described in mESC [21]. A similar trend in upregulation of both
pluripotency markers and nucleolin was observed for MCF-7 breast cancer cell line,
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though highly variable (Fig. 2D). It has been suggested that ALDH and CD44 may
identify CSC with different degrees of differentiation according to the histological types
of breast cancer (for example, luminal, MCF-7 versus the less differentiated triple
negative type, MDA-MB-231) [46], which could account for these results (Fig. 2C vs
Fig. 2D).
We confirmed the aforementioned results using mESC as stemness gold-standard
system, as nucleolin is an highly conserved protein among mammal species [42].
Culturing mESC in conditions favoring pluripotency loss (absence of LIF and KSR) led
to a downregulation of NANOG, OCT4 and nucleolin mRNA levels (Fig. 2B), and,
D
consistently, a strong decrease in cellular association of F3 peptide-targeted liposomes
(Fig. 3 B and C) and Oct4-GFP fusion protein (Fig. 3E). Nucleolin has been described
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to regulate self-renewal in mESC [21]. Yang et al. demonstrated that differentiation
overtime led to a decrease in nucleolin and OCT4 expression [21], in agreement with
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our results (Fig. 2B, Fig. 3 and Fig. S4). Overall, the aforementioned results led to
question whether cell surface nucleolin expression per se, would enable the
identification of tumorigenic cells. Strikingly NCL+ triple negative breast cancer cells
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presented increased tumorigenic capacity, paralleling ALDHhi/CD44hi cells from the
same histological origin (Fig. 4B and Table 1), already described as highly tumorigenic
[5, 33]. Besides nucleolin role in angiogenesis and targeted drug delivery [18, 19], it
has been shown that AS1411 aptamer, targeting cell surface nucleolin, impairs cellular
growth of cancer cells of different histological origins, including breast cancer [47],
consequently establishing nucleolin as a disease driver. Our results reinforce the
previous observation, suggesting that a small population of surface nucleolinoverexpressing triple negative breast cancer cells may contribute, at least in part, to
tumor development. Interestingly, over time all tested cell sub-populations gave rise to,
approximately, an equal number of tumors, especially at higher cell density, resulting in
16
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similar TIC frequency estimation (Table 1). Consistently, it has been suggested that
TIC frequency may increase with observation time length [48, 49]. Chaffer and
colleagues demonstrated that notwithstanding basal-like CD44lo breast cancer cells
generated tumors rather inefficiently, those tumors had high levels of CD44hi cells [15].
Once re-injected in NOD/SCID mice, these CD44hi cells readily formed new tumors as
compared to inefficient CD44lo cells [15]. This established the EMT-mediated dynamic
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cell plasticity as fundamental for the spontaneous conversion of basal-like non-SCC
(CD44lo) to CSC (CD44hi), a tumorigenicity-enhancing feature [15]. This is also
consistent with less differentiated, thus more aggressive, nature of basal-like breast
cancers [50]. Thus, at least in the case of basal-like breast cancer cells, as MDA-MB-
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231, cell plasticity, under a stimulus, as hypoxia [51], might enable the conversion from
low into highly tumorigenic cells [15], an event that could support, in part, our
observations (Fig. 4 and Table 1). Overall, our data reinforce the need to strategically
target multiple cell sub-populations, including both non-SCC and CSC, within the tumor
microenvironment.
Efficient eradication of both CSC and non-SCC may reside in the identification of
synergistic drug combinations that simultaneously tackle several deregulated signaling
pathways [11]. Nonetheless, translation of the in vitro efficacy information to in vivo
remains a bottleneck due to pharmacokinetic differences of the combined drugs [12].
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Ligand-mediated targeted nanotechnology has the advantage of enabling the
simultaneous intracellular delivery of drug combinations, on a receptor-dependent
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manner, besides synchronizing the pharmacokinetic of the encapsulated drugs and
subsequent tumor accumulation [12, 19, 27]. We have previously developed F3-
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targeted liposomes encapsulating defined ratios of C6-Ceramide and doxorubicin,
which enabled synergistic cell cytotoxicity against the triple negative breast cancer cells
[20].
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The above cellular association and delivery results (Fig. 1 F and H), led us to evaluate
this innovative strategy against CSC-derived mammospheres, better predictors of in
vivo drug responses [36]. It has been reasoned that CSC eradication may be
dependent of targeting developmental-related pathways, such as Notch or Wnt [7].
However, tackling classical signaling pathways such as PI3k/Akt pathway is also
noteworthy [8]. Indeed, free C6-ceramide, targeting PI3k/Akt pathway [20], was able to
induce death of ALDHhi breast cancer cells (Fig. 5 A and B), known to be resistant to
DXR [33], as well as in MDA-MB-435S cells (Fig. S5), thus confirming it as a valuable
agent against putative CSC. Herein, the F3 peptide-targeted combination strategy
enabled 100% cell death against mammospheres of both putative CSC and non-SCC,
17
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even unattainable by targeted liposomal DXR (Fig. 5C), thus apparently overcoming
DXR resistance [33].
Non-targeted nanotechnologies (namely lipid-based), containing either doxorubicin or
C6-ceramide, have demonstrated to improve pharmacodynamics performance of
encapsulated drugs against different cancers [27, 32, 52] . However, this type of
approach, whose tumor accumulation is based on the Enhanced Permeability and
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Retention (EPR) effect, is devoided of the ability to target cell populations within the
tumor microenvironment responsible for tumor resistance and relapse [1]. Engineering
nanoparticles’ surface with internalizing ligands, targeting, for example, the HER2 or
transferrin receptors, has shown increased specificity and efficacy against tumors of
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breast or other solid malignancies relative to the non-targeted (without ligand)
counterparts [14, 53]. However, many of those ligands target receptors not necessarily
providing specific targeting to the tumor microenvironment, and particularly, to CSC.
Addressing this issue, nanoparticle-mediated targeting exploring the overexpression of
CSC putative markers, like CD44 or CD133, have been proposed for small drugs and
siRNA delivery into CSC, mainly as single agents [54, 55]. Despite overexpressed in
cancer cells, CD44 has also been described to regulate normal vascular endothelial
barrier integrity [56]. Thus, a CD44-based targeting strategy would not be necessarily
devoided of side effects. In contrast, a nucleolin-targeted approach would be less
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prone to collateral toxicity owing to specific surface nucleolin overexpression by
endothelial cells of tumor angiogenic blood vessels, as compared to its absence in
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normal tissues, such as liver or lung [17, 18]. Therefore, the described F3 peptidemediated targeting towards cell surface nucleolin, of both putative CSC and non-SCC
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combines with the specific targeting of endothelial cells of tumor angiogenic blood
vessels [18, 19]. Moreover, the F3 peptide-mediated intracellular delivery of a
synergistic cytotoxic combination of DXR:C6-Cer into those cells may represent a
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suitable multitarget approach, tackling simultaneously multiple pillars sustaining breast
cancer.
Conclusions
Overall, our results suggested a clear link between nucleolin expression (including cell
membrane nucleolin) and the stem cell-like phenotype in breast cancer, namely in the
triple negative molecular subtype. It enabled increased cellular toxicity of F3 peptidetargeted drug combinations against both CSC and non-SCC, rendering 100% cell
death. Combined with the established nucleolin-mediated targeting of tumor angiogenic
blood vessels, the described strategy has the potential to simultaneously debulk
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multiple cellular compartments in the tumor microenvironment, while decreasing tumor
recurrence and systemic toxicity, ultimately enabling long-term disease free survival.
Acknowledgements
Nuno A. Fonseca was a student of the Pharmaceutical Sciences PhD program from the
Faculty of Pharmacy, University of Coimbra and a recipient of the fellowship
SFRH/BD/64243/2009 from the Portuguese Foundation for Science and Technology
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(FCT). Ana C. Gregório and Ângela Valério-Fernandes were students of PhD Program
in Experimental Biology and Biomedicine (PDBEB), Center for Neuroscience and Cell
Biology,
University
of
Coimbra,
and
recipients
of
the
FCT
fellowships
SFRH/BD/51190/2010 and SFRH/BD/51191/2010, respectively. The work was
by
the
grants
InovC/UC
(2013),
QREN/FEDER/COMPETE
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supported
(Ref.
30248/IN0617) and PEst-C/SAU/LA0001/2013-2014. Additional funding was granted
by
FEDER/COMPETE/FCT
PTDC/EBB-EBI/120634/2010
and
PDTC/QUI-
BIQ/120652/2010 grants and QREN: CENTRO-01-0762-FEDER-00204. We would like
to thank Rui Lopes for his support in the animal experiments.
Conflict of interests
V.M. is an employee of TREAT U, SA. All other authors declare no competing financial
D
interests.
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Figure captions
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Figure 1 – Cellular association of F3 peptide-targeted liposomes with putative breast
cancer stem cells. (A) Schematic representation of the cellular association experiments.
Cellular association (B,C,D,E,F) was performed in MCF-7 and triple negative MDA-MB-231
breast cancer cells whereas payload delivery (G,H) was assessed in mammosphere-derived
single triple negative breast cancer cells. (B) Representative region criteria for the identification
of CSC-enriched (R3) and non-SCC (R4) sub-populations based on CD44 and ALDH activity
measurement (DEAB – diethylaminobenzaldehyde, a specific inhibitor of ALDH activity). (C, D)
Represent the rhodamine side scatter dot-plots reflecting the signal distribution in each
identified sub-population for the MCF-7 and MDA-MB-231 cell lines, respectively, following
incubation with 0.4 mM of Rhod-labelled F3 peptide-targeted (p[F3]SL), non-specific peptide
targeted (p[NS]SL) or non-targeted (pSL) liposomes for 1 h at 4 or 37ºC. (E, F) Represent the
rhodamine geometric mean fluorescence of each sub-population for MCF-7 and MDA-MB-231
cell line, respectively (light-blue: putative cancer stem cells; orange: non-stem cancer cells).
(2-Way ANOVA p<0.0001 for formulations tested and cell sub-populations assessed; ns p>0.05
and ***p<0.001 Bonferroni’s post test, N=3). (G) Representative dot-plots of calcein signal and
nd
(H) corresponding mean signal from 2 generation mammosphere-derived single cells obtained
from MDA-MB-231 cells, upon incubation with 0.05 mM of calcein-loaded non-targeted (pSL),
non-specific peptide- (p[NS]SL) and F3 peptide-targeted (p[F3]SL) liposomes at 37ºC for 1 h.
Data represent the mean ± SEM.
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Figure 2 – Comparative analysis of pluripotency genes and nucleolin mRNA levels in
putative breast cancer stem cells (CSC) and mouse embryonic stem cells (mESC). (A)
MCF-7 and MDA-MB-231 breast cancer cells were stained with CD44-PE/Cy5 and
®
hi
hi
ALDEFLUOR reagent, and immediately sorted for isolation of ALDH /CD44 (putative CSC)
low/low/(non-SCC) similarly as in Mammosphere assay. mESC were cultured
and ALDH /CD44
for 72 h either in medium without LIF and Serum replacement [KSR] (inducing loss of
pluripotency) or in fully supplemented medium containing LIF (Control). (B) Effect on NANOG,
OCT4 and NCL mRNA levels from mESC culture in conditions inducing pluripotency loss. (C, D)
Represent the relative mRNA fold-change of NANOG, OCT4 and nucleolin (NCL) of
hi
hi
low/low/ALDH /CD44 relative to ALDH CD44
cells for both MDA-MB-231 and MCF-7 breast
cancer cells lines, respectively. Data represent the mean ± SEM (N=2-3; p value was calculated
using t test).
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Figure 3 – Cellular association of F3 peptide-targeted liposomes with mouse embryonic
stem cells. (A) E14-GFP mouse embryonic stem cells (mESC) or the corresponding colonies,
were incubated with 0.4 mM total lipid of F3 peptide-targeted (p[F3]SL), non-specific peptide
targeted (p[NS]SL) or non-targeted (pSL) liposomes incorporating 1 mol% of Rhodamine-PE,
for 1 h at 4 or 37ºC and analyzed by flow cytometry, after 72 h in culture either in the presence
of LIF (pluripotency maintenance) or in the absence of LIF and serum replacement (KSR). (B)
Represents the rhodamine-side scatter dot-plots reflecting the signal distribution. (C) and (D)
represent the geometric mean of rhodamine fluorescence for each system normalized against
the corresponding signal of the untreated E14 mESC cells, in suspension and in colony,
respectively (2-Way ANOVA p<0.016 for both culture conditions and liposome formulation
variables; ***p<0.001 and *p<0.05 Bonferroni’s post-test, N=2-3). (E) Represents the Oct4-GFP
levels of E14-GFP mESC cells according to culture conditions used (1-Way Anova p<0.0024;
ns
**p<0.01 and p>0.05 Tukey’s post-test, N=2-3). Non-viable cells were excluded from the
analysis using 7-AAD. E14-wt mESC were used as controls to correct auto-fluorescence. Data
represent the mean ± SEM.
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Figure 4 – Tumor development latency of sorted cell populations upon inoculation in
NOD scid gamma mice. (A) Sorting strategy for isolation of cell surface nucleolin positive
+
low/(NCL ) and nucleolin low/negative (NCL ) cells from single-cell suspensions of triple negative
MDA-MB-231 breast cancer cells; 7-AAD was used to exclude non-viable cells. (B) Following
®
staining of MDA-MB-231 cells with ALDEFLUOR /CD44-PE/Cy5 or with anti-NCL®
AlexaFluor 488 antibody, sorted populations, as presented in the x-axis, were orthotopically
inoculated in the mammary fat pad of NOD scid gamma (NSG) mice (6 mice/group). Dots and
triangles represent the lapsed time for first palpation after inoculation, for a cell density of 2000
or 20000 cells, respectively. Bars represent the mean latency time for first palpation (2-way
ANOVA: p = 0.0014 and p = 0.0428, for cell density and sorted population variables,
respectively).
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Figure 5 – Cellular cytotoxicity of doxorubicin (DXR):C6-ceramide (C6-Cer) combinations
delivered by F3 peptide-targeted liposomes. (A) and (B) Represent the effect of free C6hi
ceramide on viable ALDH cell sub-population from MCF-7 and MDA-MB-231 breast cancer
cells, respectively (data represent mean ± SEM; *p<0.05 and **p<0.01 Tukey’s test, compared
hi
hi
to untreated, N=3). (C) Representative dose-response curves of MDA-MB-231 (ALDH /CD44
low/low/nd
and ALDH /CD44 ) cells derived from 2 generation mammospheres, incubated with F3
peptide-targeted liposomes either encapsulating DXR (p[F3]SL) or a combination of DXR and
C6-Cer at 1:1 (p[F3]DC11) or 1:2 molar ratio (p[F3]DC12) or non-targeted liposomal DXR (pSL)
(D) Inserted Table - IC90 values calculated from representative dose-response experiment by
linear interpolation of dose values immediately above or below 90% effect).
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Table 1 – Tumorigenic potential of different cell sub-populations sorted from the triple
negative breast cancer cell line MDA-MB-231.
Time (weeks after cell inoculation)
MDA-MB-231
6 weeks
Number of
Sorted subpopulation
low/-
ALDH
low/-
/CD44
hi
hi
ALDH /CD44
low/-
NCL
NCL+
Number of
Tumors
2000
20000
cells
cells
0/6
2/6
3/6*
10 weeks
Tumors
TIC
-1
frequency
Number of
Tumors
TIC
-1
frequency
2000
20000
cells
cells
55400
1/6
6/6
6141
6/6**
2848
4/6*
6/6
1820
2/6
4/6
13391
2/6
5/6
8957
3/6
5/6
7310
5/6*
6/6
1116
2000
20000
cells
cells
TIC
-1
frequency
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5/6
6/6
1116
5/6
6/6
1116
5/6
6/6
1116
5/6
6/6
1116
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Data represent the number of tumors generated per sorted population injected (as presented in the table)
2
in NOD scid gamma mice (*p<0.05, **p<0.01 by χ test versus respective low/negative control at same cell
density). Tumor initiating cell (TIC) frequency was calculated by the limiting dilution analysis using the Lcalc™ software.
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Supplementary Data
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Figure S1 - Cellular association of F3 peptide-targeted liposomes with putative cancer
stem cells.
Half million MDA-MB-435S cells were incubated with 0.4 mM of Rhod-labelled F3 peptidetargeted (p[F3]SL), non-specific peptide targeted (p[NS]SL) or non-targeted (pSL) liposomes for
1 h at 4 or 37ºC and subsequently stained with anti-CD44-PE/Cy5 antibody and with
®
ALDEFLUOR reagent, and immediately analyzed through flow cytometry system. (A)
Represents the rhodamine-side scatter dot-plots reflecting the signal distribution of each
identified sub-population. (B) Represents the rhodamine geometric mean fluorescence of each
sub-population (light-blue: putative cancer stem cells; orange: non-stem cancer cells). Data
represent mean ± SEM (2-Way ANOVA p<0.0001 for formulations tested and cell subns
populations assessed; p>0.05 and **p<0.01, Bonferroni’s post test, N=3).
Figure S2 - Evaluation of mammosphere formation of sorted putative breast cancer stem
cells.
Two-million MCF-7 and MDA-MB-231 cells were stained with CD44-PE/Cy5 and ALDEFLUOR®
hi
hi
reagent, and immediately sorted for isolation of ALDH /CD44 (putative cancer stem cells) and
low/low/ALDH /CD44
(non-stem cancer cells). Sorted cells were cultured using fully supplemented
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Mammocult® Medium. (A) Representative sorting criteria for all cell lines tested, where P1 is
hi
hi
the gate to exclude debris and death cells from cell sorting. Gating-criteria for ALDH /CD44
low/low/and ALDH /CD44
cell populations enabled the collection of 5-15% (P2) and 15-20% (P3)
of total events depending on the assessed sub-population. (B) and (C) Representative images
of 1st and 2nd generation (self-renewal) mammospheres and mammosphere formation
hi
hi
low/low/efficiency data of ALDH /CD44 and ALDH /CD44
sub-populations, from MCF-7 MDAMB-231 cell lines (bar = 200 µm).
Figure S3 - F3 peptide-mediated intracellular delivery to mammosphere-derived singles
nd
cells. Single cells derived from 2 generation mammospheres obtained from luminal MCF-7
breast cancer cells and MDA-MB-435S cancer cells were incubated with 0.05 mM of calceinloaded non-specific peptide- (p[NS]SL) and F3 peptide-targeted (p[F3]SL) liposomes at 37ºC for
1 h (A) Representative Forward Scatter/Side Scatter and Calcein/Side Scatter dot-plots from
MDA-MB-435S cells. (B) Representation of the cell-associated mean calcein fluorescence. Data
represent the mean ± SEM.
27
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Figure S4 - Comparative analysis of pluripotency genes and nucleolin mRNA levels in
mouse embryonic stem cells (mESC).
E14 mESC were cultured in fully supplemented medium in the presence of LIF (Control), in
absence of LIF (w/o LIF) for 72 h. Figure represents the fold-change in mRNA levels of
pluripotency markers NANOG, OCT4 and nucleolin (NCL) relative to control (data represents
mean ± SEM, N=3, p value was calculated with t test).
hi
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Figure S5 – Cytotoxicity of C6-ceramide against ALDH sub-population from MDA-MB435S cells.
(Data represent mean ± SEM; *p<0.05 and **p<0.01 Tukey’s test, compared to untreated, N=3).
28
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Table S1 – List of primer nucleotide sequences for qRT-PCR.
Primer Bank
Nucleotide Sequence 5 -3
ID
31543315a1
OCT4
356995852c3
NANOG
31338864a1
β-ACTIN
6671509a1
NUCLEOLIN
55956787c2
OCT4
4505967a1
NANOG
153945815c3
β-ACTIN
4501885a1
FW
RV
FW
RV
FW
RV
FW
RV
FW
RV
FW
RV
FW
RV
FW
RV
AAAGGCAAAAAGGCTACCACA
GGAATGACTTTGGCTGGTGTAA
CGGAAGAGAAAGCGAACTAGC
ATTGGCGATGTGAGTGATCTG
TCTTCCTGGTCCCCACAGTTT
GCAAGAATAGTTCTCGGGATGAA
GGCTGTATTCCCCTCCATCG
CCAGTTGGTAACAATGCCATGT
GCACCTGGAAAACGAAAGAAGG
GAAAGCCGTAGTCGGTTCTGT
CTTGAATCCCGAATGGAAAGGG
GTGTATATCCCAGGGTGATCCTC
CCCCAGCCTTTACTCTTCCTA
CCAGGTTGAATTGTTCCAGGTC
CATGTACGTTGCTATCCAGGC
FW
CTCCTTAATGTCACGCACGAT
–
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Human
Mouse
Gene
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Forward; RV – Reverse;
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A
1st Gen.
mammospheres
CSC
2st Gen.
mammospheres
Breast cancer
cell lines
Rhodamine-labeled
F3 peptide-targeted
liposomes
7-21
days
10-21
days
Suspension
Culture
(Mammocult® media)
Cell
Sorting
1 h, 37ºC
4ºC
Cellular
association
Calcein-loaded
F3 peptide-targeted
liposomes
Mammosphere-derived
single cells
(ALDHhi/CD44hi)
Mammosphere
dissociation
(single cell suspension)
Suspension
Culture
(Mammocult® media)
Mammosphere
dissociation
1 h, 37ºC
Payload delivery
assessment
7-21
days
10-21
days
non-SCC
101
R5
102
CD44
103
104
1000
100
101
103
104
800
101
102
RhoD
103
104
1000
TE
1000
1000
101
102
Calcein
103
104
100
100
104
800
800
Side Scatter
400
600
Side Scatter
400
600
103
104
100
102
RhoD
103
104
1000
101
800
Side Scatter
400
600
104
p[F3]SL 4ºC
102
RhoD
103
104
ns
ns
ns
Ctr
pSL
p[NS]SL
102
Calcein
103
104
100
101
102
Calcein
103
101
102
Calcein
103
104
100
101
102
Calcein
103
p[F3]SL
p[F3]SL 4ºC
H
p[F3]SL
104
0
0
101
103
ns
200
200
800
Calcein
102
Calcein
100
100
Side Scatter
400
600
103
Side Scatter
400
600
200
0
101
104
200
200
102
Calcein
800
100
101
103
***
0
101
Side Scatter
400
600
1000
100
100
102
RhoD
300
1000
104
p[NS]SL
800
800
Side Scatter
400
600
103
p[F3]SL
800
pSL
0
102
Calcein
200
Side Scatter
ALDHlow/-/CD44low/-
102
RhoD
101
MDA-MB-231
p[F3]SL 4ºC
200
Side Scatter
400
600
0
101
1000
100
101
p[NS]SL
pSL
100
104
0
p[F3]SL
1000
Untreated
800
1000
p[NS]SL
200
ALDH /CD44
hi
400
ns
Side Scatter
400
600
pSL
**
200
Ctr
Mammosphere-derived
single cells
hi
F
0
ns
Ctr
103
Rhodamine
1000
ns
0
G
100
EP
MCF-7
AC
C
Geomean (RFU)
***
0
102
RhoD
1000
102
RhoD
E
500
101
0
p[F3]SL 4ºC
Geomean (RFU)
104
100
D
103
104
Side Scatter
Side Scatter
400
600
200
102
RhoD
0
p[F3]SL
101
Rhodamine
1500
103
200
Side Scatter
400
600
100
1000
102
RhoD
200
200
p[NS]SL
0
101
800
800
Side Scatter
400
600
200
100
100
4
200
10
104
Mean Calcein Signal (RFU)
3
0
10
800
2
Side Scatter
400
600
10
RhoD
200
1
M
AN
U
Side Scatter
400
600
Side Scatter
400
600
200
pSL
0
0
10
0
Side scatter
800
800
1000
800
600
Side Scatter
400
200
Ctr
0
1000
10
1000
D
1000
C
SC
CD44
1000
100
800
104
Side Scatter
400
600
103
200
102
CD44
0
101
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R4
- DEAB
100
1000
104
800
Forward scatter
103
Side Scatter
400
600
102
CD44
0
101
ALDHhi/CD44low/ALDHhi/CD44hi
ALDHlow/-/CD44low/ALDHlow/-/CD44hi
0
+ DEAB
100
1000
ALDH
10 2
10 3
10 1
10 1
ALDH
800
10 0
600
10 0
400
ALDH
10 2
ALDH
10 2
200
10 0
0
R3
R2
10 3
10 4
10 4
10 3
800
600
400
200
R1
0
Side scatter
1000
B
10 4
(ALDHlow/-/CD44low/-)
800
Mammosphere-derived
single cells
600
400
200
ALDHhi/CD44hi
ALDHlow/-/CD44low/-
0
Ctr
pSL
p[NS]SL
p[F3]SL
ACCEPTED MANUSCRIPT
A
C
qRT-PCR
CSC
MDA-MB-231
(ALDHhi/CD44hi)
p=0.121
Cell
Sorting
72 h
w/o
and LIF
KS
R
Pluripotency
maintenance
Pluripotency loss
RNA
Extraction
0.0
E14 mESC
1.0
p<0.05
p<0.05
AC
C
mRNA Fold-Change
p<0.05
EP
1.5
0.5
0.0
NANOG
OCT4
NCL
OCT4
NCL
D
TE
D
B
0.5
M
AN
U
IF
+L
1.0
RI
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non-SCC
(ALDHlow/-/CD44low/-)
1.5
p=0.193
SC
NCL
NANOG
OCT4
mRNA Fold-Change
RNA
Extraction
mESC
p=0.085
2.0
6
mRNA Fold-Change
Breast cancer
cell lines
MCF-7
5
4
3
2
1
0
NANOG
Control
OCT4
NCL
w/o LIF/Serum replacement [KSR]
NANOG
ALDHlow/-/CD44low/-
ALDHhi/CD44hi
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A
C
mESC
single cell suspension
Normalized GeoMean
(vs untreated)
200
+
72 h
1000
800
Side Scatter
400
600
100
102
103
100
104
200
0
0
101
101
RhoD
102
103
104
100
1000
1000
1000
1000
800
800
800
800
104
100
TE
Side Scatter
400
600
102
RhoD
103
104
100
103
104
100
50
pSL
p[NS]SL
p[F3]SL
ns
101
102
RhoD
103
104
800
103
***
100
200
200
102
RhoD
E14 cells in
colony
E
0
101
p[F3]SL
150
104
1000
102
RhoD
Side Scatter
400
600
800
Side Scatter
400
600
102
RhoD
100
104
p[NS]SL
0
101
0
103
0
101
200
200
101
200
Side Scatter
400
600
103
100
100
1000
104
104
50
D
0
Side Scatter
400
600
103
200
102
RhoD
104
200
102
RhoD
0
101
103
1000
101
800
1000
800
Side Scatter
400
600
200
100
100
104
102
RhoD
0
0
103
1000
102
RhoD
101
AC
C
Side Scatter
400
600
200
Side Scatter
400
600
200
0
101
103
104
800
100
102
RhoD
103
Side Scatter
400
600
104
102
RhoD
200
103
1000
102
RhoD
800
101
1000
100
EP
104
800
103
0
0
200
200
Side Scatter
400
600
Side Scatter
400
600
Side Scatter
400
600
0
102
RhoD
101
RhoD
1000
101
101
1000
800
200
Side Scatter
400
600
1000
100
100
pSL
Normalized GeoMean
(vs untreated)
104
150
0
SC
Side Scatter
400
600
200
103
800
200
0
104
0
37ºC
Side Scatter
w/o serum
102
RhoD
101
102
RhoD
103
104
Colony
100
-LIF
101
Side Scatter
400
600
103
800
100
+LIF
37ºC
100
800
102
200
37ºC
104
Side Scatter
400
600
0
101
RhoD
w/o serum
103
Suspension
100
-LIF
102
RhoD
D
101
0
0
100
104
1000
103
800
800
200
200
0
102
RhoD
200
+LIF
4ºC
Side Scatter
400
600
Side Scatter
400
600
0
101
1000
100
p[F3]SL
1000
1000
800
1000
800
Side Scatter
400
600
200
+LIF
37ºC
p[NS]SL
M
AN
U
SR
/K
pSL
Control
***
*
E14 cells in
suspension
RI
PT
IF
-L
B
mESC colonies
Pluripotency loss
Oct4-GFP GeomMean
(RFU)
LI
F
E14 mESC
colonies
Cellular association with
F3-targeted liposomes
Pluripotency
maintenance
150
**
**
100
50
0
Rhodamine
37ºC (+LIF)
Suspension
4ºC (+LIF)
Colony
37ºC (-LIF; w/o serum replacement [KSR])
ACCEPTED MANUSCRIPT
A
B
Isotype
RI
PT
NCLlow/-
SC
600
0
0
NCL+
0
200
400
600
800
10 0
1000
10 1
10 2
10 3
NCL
Forward Scatter
TE
AC
C
800
600
200
10
1
10
2
7-AAD
10
3
10
4
10 0
10 1
10 2
NCL
10
8
6
4
2
/-
low
2000 Cells
10 3
hi
44
D44
hi /CD
/low /C
H
H
ALD
ALD
0
0
12
0
≈ 0.8%
400
Side Scatter
600
400
200
R3
NCL+
Viable Cells
0
Side Scatter
800
R2
Anti-NCL-AlexaFluor488
NCLlow/-
EP
1000
1000
Viability Analysis
10
10 4
D
R1+R2
M
AN
U
200
400
Side Scatter
600
400
R1
200
Side Scatter
800
800
R3
First palpation
(weeks after cell inoculation)
1000
1000
Debris Exclusion
10 4
/-
low
NCL
+
NCL
20000 Cells
ACCEPTED MANUSCRIPT
B
20
2
*
**
1
0
20 μM
Untreated
15
5
0
40 μM
M
AN
U
100
90
80
10
1
AC
C
D
ALDHlow/-/CD44low/-
100
90
80
60
0.1
100
1
10
[DXR] (μM)
EP
[DXR] (μM)
pSL(DXR)
p[F3]SL(DXR)
p[F3]DC11
p[F3]DC12
Citotoxicity (IC90) of liposomal formulations of DXR or DXR/C6-Cer against
mammospheres derived from ALDHhi/CD44hi and ALDHlow/-/CD44low/sub-populations sorted from MDA-MB-231 triple breast cancer cells.
Formulation
ALDHhi/CD44hi
IC90 (μM)
SEM
ALDHlow/-/CD44low/IC90 (μM)
N/D
pSL(DXR)
14 μM
C6-Ceramide
70
TE
70
Cell Death
(% of Control)
110
D
Cell Death
(% of Control)
ALDHhi/CD44hi
**
7 μM
Untreated
C
60
0.1
*
10
C6-Ceramide
110
MDA-MB-231
RI
PT
MCF-7
SC
ALDH hi /7AAD (%of cells)
3
ALDH hi /7AAD (%of cells)
A
SEM
N/D
p[F3]SL(DXR)
8.08
2.82
2.98
p[F3]DC1 1
1.52
0.03
1.91
0.25
0.05
p[F3]DC12
1.48
0.07
1.27
0.05
100