Title CMGene: A literature-based database and knowledge resource for cancer metastasis genes
Authors Liu, Yining
Li, Zhe
Lu, Jiachun
Zhao, Min
Qu, Hong
Affiliation Guangzhou Med Univ, Inst Chem Carcinogenesis, Sch Publ Hlth, Guangzhou 510182, Guangdong, Peoples R China.
Peking Univ, Coll Life Sci, Ctr Bioinformat, State Key Lab Prot & Plant Gene Res, Beijing 100871, Peoples R China.
Guangzhou Med Univ, Affiliated Hosp 1, Sch Publ Hlth, Guangzhou 510120, Guangdong, Peoples R China.
Univ Sunshine Coast, Fac Sci Hlth Educ & Engn, Sch Engn, Maroochydore, Qld 4558, Australia.
Peking Univ, Coll Life Sci, Ctr Bioinformat, State Key Lab Prot & Plant Gene Res, Beijing 100871, Peoples R China.
Zhao, M (reprint author), Univ Sunshine Coast, Fac Sci Hlth Educ & Engn, Sch Engn, Maroochydore, Qld 4558, Australia.
Keywords CMGene
A literature-based database
knowledge resource
TUMOR-SUPPRESSOR GENES
PAN-CANCER
Issue Date 2017
Publisher JOURNAL OF GENETICS AND GENOMICS
Citation JOURNAL OF GENETICS AND GENOMICS.2017,44(5),277-279.
Abstract Cancer metastasis is the end product of cancer evolution, contributing to the massive mortality of cancer patients (Chaffer and Weinberg, 2011). Different primary cancers have distinct spreading routes via the blood or the lymphatics or through both routes, which presents challenge for effective cancer treatment (Qian et al., 2017). Those organ-specific metastatic processes are all complex multistep dynamic processes, comprising genetic and epigenetic changes (Nguyen et al., 2009). Although thousands of small-scale studies have identified many new susceptibilities, the comprehensive illustration of molecular players during the metastasis cascade remains enigmatic. Recently, 150 pro-metastatic genes with in vivo evidence were collected by literature search and survival analysis (Mei et al., 2017). We also curated 194 experimentally verified metastasis suppressors from literature (Zhao et al., 2015). However, metastasis suppressors are only partial genes involved in the metastasis suppressing. To unveil the cellular complexity of metastatic cancer, we have constructed the literature-based gene resource for exploring cancer metastasisrelated genes (CMGs) in this study.
URI http://hdl.handle.net/20.500.11897/473347
ISSN 1673-8527
DOI 10.1016/j.jgg.2017.04.006
Indexed SCI(E)
中国科学引文数据库(CSCD)
Appears in Collections: 生命科学学院

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