Cancer genomics
Read the topic background here, then explore the labeled visual and structured learning explanations on this page.
Read explanation on this page ↓ See diagram ↓Oncogenomics — on-site reading
This reference extract addresses Oncogenomics, a related subject. It does not cover every part of Cancer genomics.. The article introduction is reproduced here, so you do not need to leave MedAtlas to read it. It may not match the latest official medical guidance.
Oncogenomics is a sub-field of genomics that characterizes cancer-associated genes. It focuses on genomic, epigenomic and transcript alterations in cancer.
Cancer is a genetic disease caused by accumulation of DNA mutations and epigenetic alterations leading to unrestrained cell proliferation and neoplasm formation. The goal of oncogenomics is to identify new oncogenes or tumor suppressor genes that may provide new insights into cancer diagnosis, predicting clinical outcome of cancers and new targets for cancer therapies. The success of targeted cancer therapies such as Gleevec, Herceptin and Avastin raised the hope for oncogenomics to elucidate new targets for cancer treatment.
Besides understanding the underlying genetic mechanisms that initiate or drive cancer progression, oncogenomics targets personalized cancer treatment. Cancer develops due to DNA mutations and epigenetic alterations that accumulate randomly. Identifying and targeting the mutations in an individual patient may lead to increased treatment efficacy.
The completion of the Human Genome Project facilitated the field of oncogenomics and increased the abilities of researchers to find oncogenes. Sequencing technologies and global methylation profiling techniques have been applied to the study of oncogenomics.
How this connects to Oncology and Tumor Biology
Molecular investigation links DNA variation and gene regulation to RNA, proteins and cellular function. Assays measure selected molecular features with finite sensitivity and specificity; a detected variant or transcript does not automatically establish biological causation or a clinical diagnosis.
Text credit: Wikipedia contributors, “Oncogenomics”, original article · authors & revision history · CC BY-SA 4.0. Unmodified opening extract, accessed 24 September 2026. This Wikipedia-derived section is provided under CC BY-SA 4.0; the independent MedAtlas notes and design are separate works.
Cancer genomics · visual study map
Scalable vector illustration. Labeled conceptual map, not a precise anatomical, histological or diagnostic image.The wording in this learning map is adapted from the attributed Wikipedia background section below (CC BY-SA 4.0).
What the underlying subject studies
Biomedical research begins with a focused, ethically valid question. Define the study population, variables, measurements and decision-relevant uncertainty before selecting a method.
How mechanisms and evidence connect
Compare alternative study designs and account for sampling, confounding, bias, imprecision, missing data and the limits of causal inference. Sound statistical analysis cannot repair invalid measurements or unethical recruitment.
How to develop a sound explanation
Doctoral-level mastery involves reading primary methods, reproducing calculations, writing transparent protocols and defending the assumptions behind each conclusion. University-specific courses and laboratory competencies differ.
References and verification (optional)
All reading material on this page appears above. The links below are for checking the primary syllabus, research or source attribution, not requirements for opening this lesson.