Rapid advancement in cancer genomic big data in the pursuit of precision oncology

Authors

  • Tiara Bunga Mayang Permata Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia https://orcid.org/0000-0002-5890-5545
  • Sri Mutya Sekarutami Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia https://orcid.org/0000-0002-3082-4911
  • Endang Nuryadi Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia https://orcid.org/0000-0003-1029-1748
  • Angela Giselvania Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia https://orcid.org/0000-0002-3396-0660
  • Soehartati Gondhowiardjo Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia https://orcid.org/0000-0002-9446-4361

DOI:

https://doi.org/10.13181/mji.rev.204250

Keywords:

cancer genetic database, oncology, personalized medicine

Abstract

In the current big data era, massive genomic cancer data are available for open access from anywhere in the world. They are obtained from popular platforms, such as The Cancer Genome Atlas, which provides genetic information from clinical samples, and Cancer Cell Line Encyclopedia, which offers genomic data of cancer cell lines. For convenient analysis, user-friendly tools, such as the Tumor Immune Estimation Resource (TIMER), which can be used to analyze tumor-infiltrating immune cells comprehensively, are also emerging. In clinical practice, clinical sequencing has been recommended for patients with cancer in many countries. Despite its many challenges, it enables the application of precision medicine, especially in medical oncology. In this review, several efforts devoted to accomplishing precision oncology and applying big data for use in Indonesia are discussed. Utilizing open access genomic data in writing research articles is also described.

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Published

2021-01-13

How to Cite

1.
Permata TBM, Sekarutami SM, Nuryadi E, Giselvania A, Gondhowiardjo S. Rapid advancement in cancer genomic big data in the pursuit of precision oncology. Med J Indones [Internet]. 2021Jan.13 [cited 2024Dec.11];30(1):81–5. Available from: https://mji.ui.ac.id/journal/index.php/mji/article/view/4250

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Review Article
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