The Cancer Genome Atlas (TCGA) is a landmark cancer genomics program that molecularly characterized over 20,000 primary cancer and matched normal samples spanning 33 cancer types. On similar lines, the establishment of an has been initiated in 2019-2020 by a consortium of key stakeholders in India led by Council for Scientific and Industrial Research (CSIR), Government of India and several reputed governmental agencies, cancer hospitals, academic institutions, and private sector partners. In parallel, Bangladesh Medical Research Council (BMRC) has announced the launch of 'Bangladesh Cancer Genome Atlas (BCGA) project with support from the ICGA teams. Teams from United States - National Cancer Institute (NCI) office of TCGA and Centre for Global Oncology, Institute of Cancer Research, London, United Kingdom are interested in extending their collaborations to these large-scale initiatives by acting as knowledge partners. With this background, an online version of the 2 TCGA conference and workshop in India was organised with the theme of 'Towards Team Science for Multi-omics Studies in South Asia' on December 3-5, 2020. Over 1,500 delegates comprising of onco-clinicians, basic researchers, bioinformaticians, geneticists, translational researchers, big-data and machine-learning scientists, bioethicists and regulatory experts from across the globe attended the event. The conference agenda focused on the vision, design and plans of the ICGA project with regards to common standard operating protocols (SOPs), operations, logistics, bioethics, policy and governance models. More importantly, conference sessions were planned around the central theme of building a culture of team science for undertaking mega-cancer research projects in India and neighbouring countries. Experts from the globe deliberated on the latest technical aspects of data/biospecimen/multi-omics studies and applications of Precision Oncology in clinical cancer management.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225334PMC
http://dx.doi.org/10.3332/ecancer.2021.ed111DOI Listing

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