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== Cancer Genomics Overview == <!--T:1-->

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Cancer is a group of diseases caused by changes in DNA that alter cell behavior, causing uncontrollable growth and malignancy. These abnormalities can take many forms, including DNA mutations, rearrangements, deletions, amplifications, and the addition or removal of chemical marks. These changes can cause cells to produce abnormal amounts of particular proteins or make misshapen proteins that do not work as they should. Oftentimes, a combination of several genomic alterations work together to promote cancer.

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Genetic alterations can be inherited from one's parents, caused by environmental factors, or occur during natural processes such as cell division. The changes that accumulate over one’s lifetime are called acquired or somatic changes and account for 90–95% of all cases of cancer.

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The field of cancer genomics is a relatively new research area that takes advantage of recent technological advances to study the human genome, meaning our full set of DNA. By sequencing the DNA and RNA of cancer cells and comparing the sequences to normal tissue such as blood, scientists identify genetic differences that may cause cancer. This approach, called structural genomics, may also measure the activity of genes encoded in our DNA in order to understand which proteins are abnormally active or silenced in cancer cells, contributing to their uncontrolled growth.

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Once cancer-causing changes are identified, scientists can gain a better understanding of the molecular basis of cancer growth, metastasis, and drug resistance. This is done using clinical data that describes how patients responded to cancer treatment, laboratory experiments using cell lines and model organisms, and big data analysis techniques. Putting large genomic datasets together and sharing them with researchers worldwide is an increasingly important strategy for cancer research, as this boosts the power of the data and opens new opportunities for discovery. Scientists at the National Institutes of Health (NIH), as well as around the world, are working diligently to identify genetic changes underlying cancer, determine their roles in tumor development and metastasis, and harness these findings to fight cancer.

=== Importance of Cancer Genomics in Precision Cancer Medicine === <!--T:6-->

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Genomic information about cancer is leading to better diagnoses and treatment strategies that are tailored to patients’ tumors, an approach called precision medicine. As a result of research into the genomic changes associated with cancer, drugs have been developed to fight the disease in several ways:

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*Inhibiting enzymes that trigger the abnormal growth and survival of cancer cells

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*Blocking aberrant gene expression characteristic of cancer cells

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*Halting molecular signaling pathways that are in overdrive in cancer cells

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These “targeted therapies” specifically combat characteristics of cancer cells that are different from normal cells of the body. This makes them less likely to be toxic for patients compared to other treatments such as chemotherapy and radiation that can kill normal cells. There are several examples of precision medicine already in clinical use:

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*Imatinib (Gleevec) inhibits overactivity of a protein (called Bcr-Abl tyrosine kinase) in patients whose leukemia is caused by a particular chromosomal rearrangement.

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*Trastuzumab (Herceptin) controls a hyperactive signaling pathway (HER2 tyrosine kinase) caused by multiple copies of the HER2 gene in a subtype of breast cancers.

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*Erlotinib (Tarceva) and gefitinib (Iressa) both restrict activation of a protein (epidermal growth factor, or EGFR), which is abnormally active in a subset of lung cancers due to mutations in the protein.

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Cancer genomics research also contributes to precision medicine by defining cancer types and subtypes based on their genetics. This molecular taxonomy of cancer can provide patients with a more precise diagnosis, and therefore a more personalized treatment strategy. There are several ways in which the molecular definition of cancer already benefits patients:

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*Breast cancer is classified based on molecular characteristics into distinct subgroups – Luminal A, Luminal B, Triple-negative/basal-like, and HER2 type – that vary in their aggressiveness and respond differently to therapies. Breast cancer patients may benefit from a diagnosis and treatment guided by knowledge of their tumor's molecular subtype.

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*Diffuse large B cell lymphoma can be subdivided into the ABC and GCB subtypes by genomic profiling, identifying patients that respond differently to current chemotherapy regimens and to molecularly targeted therapies.

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*In 2013, The Cancer Genome Atlas project identified four subtypes of endometrial cancer – POLE ultramutated, microsatellite instability (MSI) hypermutated, copy-number (CN) low, and CN high – that correlate with patient survival. This research has already given rise to new clinical trials that investigate how these subtypes can improve the future of endometrial cancer care.

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Lung cancer patients who have a gene fusion involving the ROS1 gene often respond well to treatment with a targeted therapy called crizotinib. In these cases, the disease is best defined and treated based on its unique genetic change.

=== Related Resources === <!--T:20-->

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Cancer Genomics Research
The Genetics of Cancer
CDC Office of Public Health Genomics
My Cancer GenomeExit Disclaimer
MD Anderson Cancer Center for Personalized Cancer Therapy
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