Big data in basic and translational cancer research

Peng Jiang*, Sanju Sinha, Kenneth Aldape, Sridhar Hannenhalli, Cenk Sahinalp, Eytan Ruppin*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Historically, the primary focus of cancer research has been molecular and clinical studies of a few essential pathways and genes. Recent years have seen the rapid accumulation of large-scale cancer omics data catalysed by breakthroughs in high-throughput technologies. This fast data growth has given rise to an evolving concept of ‘big data’ in cancer, whose analysis demands large computational resources and can potentially bring novel insights into essential questions. Indeed, the combination of big data, bioinformatics and artificial intelligence has led to notable advances in our basic understanding of cancer biology and to translational advancements. Further advances will require a concerted effort among data scientists, clinicians, biologists and policymakers. Here, we review the current state of the art and future challenges for harnessing big data to advance cancer research and treatment.

Original languageEnglish
Pages (from-to)625-639
Number of pages15
JournalNature Reviews Cancer
Volume22
Issue number11
DOIs
StatePublished - Nov 2022
Externally publishedYes

Funding

FundersFunder number
National Cancer Institute

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