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  2. Cancer pharmacogenomics - Wikipedia

    en.wikipedia.org/wiki/Cancer_Pharmacogenomics

    Cancer is a genetic disease where changes to genes can cause cells to grow and divide out of control. Each cancer can have a unique combination of genetic mutations, and even cells within the same tumour may have different genetic changes. In clinical settings, it has commonly been observed that the same types and doses of treatment can result ...

  3. Gene therapy - Wikipedia

    en.wikipedia.org/wiki/Gene_therapy

    Gene editing is a potential approach to alter the human genome to treat genetic diseases, [40] viral diseases, [41] and cancer. [ 42 ] [ 43 ] As of 2020 [update] these approaches are being studied in clinical trials.

  4. Oncogenomics - Wikipedia

    en.wikipedia.org/wiki/Oncogenomics

    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.

  5. Whole-genome sequencing data ‘can transform cancer care with ...

    www.aol.com/whole-genome-sequencing-data...

    Combining clinical and genomic data creates a key resource for clinicians to better predict outcomes and tailor cancer treatments, researchers say. Whole-genome sequencing data ‘can transform ...

  6. Cancer genome sequencing - Wikipedia

    en.wikipedia.org/wiki/Cancer_genome_sequencing

    Cancer genome sequencing utilizes the same technology involved in whole genome sequencing. The history of sequencing has come a long way, originating in 1977 by two independent groups - Fredrick Sanger’s enzymatic didoxy DNA sequencing technique [ 26 ] and the Allen Maxam and Walter Gilbert chemical degradation technique. [ 27 ]

  7. The Cancer Genome Atlas - Wikipedia

    en.wikipedia.org/wiki/The_Cancer_Genome_Atlas

    The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1] [2] The overarching goal was to apply high-throughput genome analysis techniques to improve the ability to diagnose, treat, and prevent cancer through a better understanding of the genetic basis of the disease.