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Identification of immunosenescence of unconventional T cells in hepatocellular carcinoma

Published: 21 November 2024 Publication History

Abstract

Accumulation of senescent cells is a recognized feature in hepatocellular carcinoma (HCC), but their specific types and prognostic implications remain under investigation. This study aimed to delineate senescent cell types and their senescent patterns in HCC using publicly available bulk and single-cell mRNA sequencing data. Through gene expression and gene set enrichment analysis, we identified distinct senescent patterns within HCC samples. Notably, unconventional T cells, specifically natural killer T cells and γδT cells, were found to be the predominant senescent cell types. These cells exhibited enriched pathways related to DNA damage, senescence and the negative regulation of lymphocyte activation. Furthermore, we observed upregulation of the mTOR signaling pathway, which correlated positively with the expression of senescence-associated genes. This suggests a potential regulatory role for mTOR in the senescence of HCC. Strikingly, patients with elevated expression of senescence markers, including p16 INK4A , p21, and GLB1, demonstrated significantly reduced overall survival rates. Our findings indicate that immunosenescence in unconventional T cells may play a role in HCC progression. The potential therapeutic implications of targeting the mTOR pathway or eliminating senescent unconventional T cells warrant further exploration to improve HCC patient outcomes.

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Highlights

Unconventional T cells including NKT cells and γδT cells showed a predominant senescent signature in HCC.
Senescent unconventional T cells in HCC might weaken the immune system against tumor development and lead to a worse overall survival rate.
Expression of mTOR showed a positively correlation with senescence associated genes in HCC.

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  1. Identification of immunosenescence of unconventional T cells in hepatocellular carcinoma
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              Information & Contributors

              Information

              Published In

              cover image Computational Biology and Chemistry
              Computational Biology and Chemistry  Volume 112, Issue C
              Oct 2024
              820 pages

              Publisher

              Elsevier Science Publishers B. V.

              Netherlands

              Publication History

              Published: 21 November 2024

              Author Tags

              1. α-galcer
              2. AKT1S1
              3. APCs
              4. ATF6
              5. BCL2
              6. BCL-xl
              7. BP
              8. CC
              9. CCL20
              10. CDKis
              11. CDKN1A
              12. CDKN2A
              13. CDKN2B
              14. CDKN2C
              15. CDKN2D
              16. CDKN3
              17. C/EBPβ
              18. CS
              19. CXCL10
              20. DDIT3
              21. DPP4
              22. EEF2K
              23. ER stress
              24. FDR
              25. FKBP1A
              26. GEO
              27. GEPIA
              28. GLB1
              29. GO
              30. GSEA
              31. H2AFX
              32. HBV
              33. HCC
              34. HMGA1
              35. HR
              36. HSPA5
              37. IL-1
              38. IL-6
              39. JAK2
              40. KEGG
              41. LCACs
              42. MAIT
              43. MF
              44. MLST8
              45. MMP1
              46. MMP4
              47. MMP9
              48. MTOR
              49. MTORC1
              50. MTORC2
              51. NES
              52. NK
              53. NKT
              54. OS
              55. PDGFA
              56. PDGFB
              57. RELB
              58. RHEB
              59. RPS6KB1
              60. RPTOR
              61. SA-β gal
              62. SASP
              63. SERPINE1
              64. SREBPs
              65. STAT3
              66. TCGA-LIHC
              67. TNF
              68. TSNE map

              Author Tags

              1. Immunosenescence
              2. Hepatocellular carcinoma
              3. Natural killer T cells
              4. γδT cells
              5. mTOR
              6. p16INK4a

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