ArticleNucleic acids research2018
SEECancer: a resource for somatic events in evolution of cancer genome.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- CancerTracer: a curated database for intrapatient tumor heterogeneity.Nucleic acids research · 2020Article
- Functional Prediction of Candidate MicroRNAs for CRC Management Using in Silico Approach.International journal of molecular sciences · 2019Article
- CancerSEA: a cancer single-cell state atlas.Nucleic acids research · 2019Article
- YB-1 modulates the drug resistance of glioma cells by activation of MDM2/p53 pathway.Drug design, development and therapy · 2019Article
- A pan-cancer atlas of cancer hallmark-associated candidate driver lncRNAs.Molecular oncology · 2018Article
- Neutral Theory and the Somatic Evolution of Cancer.Molecular biology and evolution · 2018Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer cells progressively evolve from a premalignant to a malignant state, which is driven by accumulating somatic alterations that confer normal cells a fitness advantage. Improvements in high-throughput sequencing techniques have led to an increase in construction of tumor phylogenetics and identification of somatic driver events that specifically occurred in different tumor progression stages. Here, we developed the SEECancer database (http://biocc.hrbmu.edu.cn/SEECancer), which aims to present the comprehensive cancer evolutionary stage-specific somatic events (including early-specific, late-specific, relapse-specific, metastasis-specific, drug-resistant and drug-induced genomic events) and their temporal orders. By manually curating over 10 000 published articles, 1231 evolutionary stage-specific genomic events and 5772 temporal orders involving 82 human cancers and 23 tissue origins were collected and deposited in the SEECancer database. Each entry contains the somatic event, evolutionary stage, cancer type, detection approach and relevant evidence. SEECancer provides a user-friendly interface for browsing, searching and downloading evolutionary stage-specific somatic events and temporal relationships in various cancers. With increasing attention on cancer genome evolution, the necessary information in SEECancer will facilitate understanding of cancer etiology and development of evolutionary therapeutics, and help clinicians to discover biomarkers for monitoring tumor progression.
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Registered trials
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