Evidence map›Paper›PMID 34712617›Full record

ArticleFrontiers in oncology2021

Cancer CRC: A Comprehensive Cancer Core Transcriptional Regulatory Circuit Resource and Analysis Platform.

Ling Wei, Jiaxin Chen, Chao Song, Yuexin Zhang, Yimeng Zhang, Mingcong Xu, Chenchen Feng, Yu Gao, Fengcui Qian, Qiuyu Wang and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Ling WeiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Jiaxin ChenSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Chao SongSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Yuexin ZhangSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Yimeng ZhangSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Mingcong XuSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Chenchen FengSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Yu GaoSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Fengcui QianSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Qiuyu WangSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Desi ShangThe First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.
Xinyuan ZhouSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Jiang ZhuSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Xiaopeng WangSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Yijie JiaSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Jiaqi LiuThe First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.
Yanbing ZhuExperimental and Translational Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Chunquan LiThe First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.
Harbin Medical University · CNUniversity of South China · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A core transcriptional regulatory circuit (CRC) is a group of interconnected auto-regulating transcription factors (TFs) that form loops and can be identified by super-enhancers (SEs). Studies have indicated that CRCs play an important role in defining cellular identity and determining cellular fate. Additionally, core TFs in CRCs are regulators of cell-type-specific transcriptional regulation. However, a global view of CRC properties across various cancer types has not been generated. Thus, we integrated paired cancer ATAC-seq and H3K27ac ChIP-seq data for specific cell lines to develop the Cancer CRC (http://bio.liclab.net/Cancer_crc/index.html). This platform documented 94,108 cancer CRCs, including 325 core TFs. The cancer CRC also provided the "SE active core TFs analysis" and "TF enrichment analysis" tools to identify potentially key TFs in cancer. In addition, we performed a comprehensive analysis of core TFs in various cancer types to reveal conserved and cancer-specific TFs.

Indexed as

cancerchromatin accessibilitycore transcriptional regulatory circuit (CRC)super-enhancers (SEs)transcription factors (TFs)

Identifiers

PMID34712617
PMCPMC8546348
OpenAlexW3207889514

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.