Evidence map›Paper›PMID 32117445›Full record

ArticleFrontiers in genetics2020

CHG: A Systematically Integrated Database of Cancer Hallmark Genes.

Denan Zhang, Diwei Huo, Hongbo Xie, Lingxiang Wu, Juan Zhang, Lei Liu, Qing Jin, Xiujie Chen

Abstract read
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Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

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35citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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  4. TheLife (Basel, Switzerland) · 2025
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  5. A gene set enrichment analysis for cancer hallmarks.Journal of pharmaceutical analysis · 2025
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  19. Integration of transcriptomics data into agent-based models of solid tumor metastasis.Computational and structural biotechnology journal · 2023
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Denan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Diwei HuoThe 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
Hongbo XieCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Lingxiang WuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Juan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Lei LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Qing JinCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xiujie ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe analysis of cancer diversity based on a logical framework of hallmarks has greatly improved our understanding of the occurrence, development and metastasis of various cancers.

methodsWe designed Cancer Hallmark Genes (CHG) database which focuses on integrating hallmark genes in a systematic, standard way and annotates the potential roles of the hallmark genes in cancer processes. Following the conceptual criteria description of hallmark function the keywords for each hallmark were manually selected from the literature. Candidate hallmark genes collected were derived from 301 pathways of KEGG database by Lucene and manually corrected.

resultsBased on the variation data, we finally identified the hallmark genes of various types of cancer and constructed CHG. And we also analyzed the relationships among hallmarks and potential characteristics and relationships of hallmark genes based on the topological structures of their networks. We manually confirm the hallmark gene identified by CHG based on literature and database. We also predicted the prognosis of breast cancer, glioblastoma multiforme and kidney papillary cell carcinoma patients based on CHG data.

conclusionsIn summary, CHG, which was constructed based on a hallmark feature set, provides a new perspective for analyzing the diversity and development of cancers.

Indexed as

annotating Hallmark featurescopy number variationdatabaseHallmark genesmethylationmutation

Identifiers

PMID32117445
PMCPMC7013921

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.