Evidence map›Paper›PMID 37520717›Full record

ArticleiScience2023

Cancer-keeper genes as therapeutic targets.

Xizhe Zhang, Chunyu Pan, Xinru Wei, Meng Yu, Shuangjie Liu, Jun An, Jieping Yang, Baojun Wei, Wenjun Hao, Yang Yao and 2 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

12 authors at 5 institutions in 3 countries.

Xizhe ZhangEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Chunyu PanSchool of Computer Science and Engineering, Northeastern University, Shenyang, China.
Xinru WeiEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Meng YuDepartment of Laboratory Animal Science, China Medical University, Shenyang, China.
Shuangjie LiuDepartment of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
Jun AnDepartment of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
Jieping YangDepartment of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
Baojun WeiDepartment of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
Wenjun HaoDepartment of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
Yang YaoDepartment of Physiology, Shenyang Medical College, Shenyang, China.
Yuyan ZhuDepartment of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
Weixiong ZhangDepartment of Health Technology and Informatics, Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China.
China Medical University · CNNanjing Brain Hospital · CNHong Kong Polytechnic University · HKNortheastern University · CNShenyang Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finding cancer-driver genes has been a central theme of cancer research. We took a different perspective; instead of considering normal cells, we focused on cancerous cells and genes that maintained abnormal cell growth, which we named cancer-keeper genes (CKGs). Intervening CKGs may rectify aberrant cell growth, making them potential cancer therapeutic targets. We introduced

Indexed as

CancerDrugsTherapeutics

Identifiers

PMID37520717
PMCPMC10382876
OpenAlexW4383874063

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.