Evidence 1 ST
Evidence 1 ST
Evidence 1 ST
Choose the field of science that interests you the most: medicine,
genetics, telecommunications, ecology, social sciences,
anthropology, space research, or any other.
How often: Continuous data collection would be needed over the 1-year
investigation lapse in order to provide better analysis of the effects of
genetics and the evolution of the disease.
4. Identify the specific field of knowledge or science that is related to
the question you made.
6. Decide what would be the approach that you will use: qualitative,
quantitative, or mixed. Do you want to do interviews, experiments,
collect data or some of these techniques? Try to briefly describe
what you plan to do.
Cells are the fundamental unit that compose all known living organisms. They
contain DNA that carries the basic instructions for cellular function. These have
four chemical bases: adenine, thymine, guanine, and cytosine, forming base pairs.
Humans have 23 pairs; gene sequences may vary. All this is genetics.
Most of the known health affections are cause by them, changes in the DNA
sequence (mutations) cause thousands of diseases, one of the most common and
dangerous to human beings: cancer.
Cancer is a disease in which some of the body’s cells grow uncontrollably and
spread to other parts of the body. (What Is Cancer? 2021). This is a genetic
disease caused as said before, by changes to the DNA, specifically in sections
called genes. These genetic changes can cause normal genes to evolve to
oncogenes, which are unable to turn off, causing the uncontrollable cell growth in
the organism, there are many types of genetic mutations in cancer, among them
we have: Missense mutations, Frameshift mutations, nonsense mutations and
chromosome rearrangements.
Oncogenes: cells activated when its not supposed to be, oncogenes can be
activated in cells in different ways.
1. Gene variants/ mutations
2. Epigenetic changes
3. Chromosome rearrangements
4. Gene duplication
Tumor suppressor genes: normal genes that slow down cell division or
make cells die at the right time (apoptosis). If they don’t work properly cells
can go out of control and cause cancer.
DNA repair genes: They help fix mistakes in the DNA, and if they cant repair
it, they trigger the cell to die, with the objective of avoiding further problems.
Cancer is not a hereditary disease, but the genetic changes that increase cancer
risk can be inherited. Hereditary cancer stems form mutations in the genes leading
to uncontrollable cell growth between 5-10% of the cancers are hereditary. The risk
of getting cancer increases when one of those genes is passed through
generations. Some signs of hereditary cancer include: several generations
affected, early ages of cancer diagnosis, generations with a common type of
cancer among others.
Knowing all these data and considering the deep connection between genomics
and cancer disease, cancer genomics is introduced, this field seeks to get
advances through new technologies, to a molecular level. A fundamental key is to
know DNA’s, RNA’s, and proteins’ roles in cancer causation. Cancer genomics
integrates clinical data and experimental findings with the aim of unraveling
cancer’s molecular basis, to use it later resistance understanding and aid in
treatment.
Furthermore, (Cancer, 2014) states that the study of genes of people with cancer
has led to:
Genetics and genomics have had a new impact on cancer prevention due to the
advances in technology. These discoveries have enabled a way to identify at-risk
individuals, basing on genetic variation to improve processes such as
interventions, screening, treatment, and drug selection, offering personalized risk-
management, going beyond genetical disorders, and integrating as well personal
factors and interactions with the environment.
One of the latest advances in cancer genomics is the development of drugs that
fight the disease in several ways, it also defines cancer types and subtypes based
on the genetics, since they found out several links between genes and many types
of cancer.
Liquid biopsies
Multi-omics data integration
AI and machine learning
Patient-centric care