TY - JOUR
T1 - Rapid advancement in cancer genomic big data in the pursuit of precision oncology
AU - Permata, Tiara Bunga Mayang
AU - Sekarutami, Sri Mutya
AU - Nuryadi, Endang
AU - Giselvania, Angela
AU - Gondhowiardjo, Soehartati
N1 - Publisher Copyright:
© 2021 Authors.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Cancer genetic database
KW - Oncology
KW - Personalized medicine
UR - http://www.scopus.com/inward/record.url?scp=85105003444&partnerID=8YFLogxK
U2 - 10.13181/mji.rev.204250
DO - 10.13181/mji.rev.204250
M3 - Review article
AN - SCOPUS:85105003444
SN - 0853-1773
VL - 30
SP - 81
EP - 85
JO - Medical Journal of Indonesia
JF - Medical Journal of Indonesia
IS - 1
ER -