Evidence map›Paper›PMID 35177812›Full record

ArticleOncogene2022

Identifying novel therapeutic targets in gastric cancer using genome-wide CRISPR-Cas9 screening.

Zhi Zeng, Xu Zhang, Cong-Qing Jiang, Yong-Gang Zhang, Xue Wu, Jin Li, Shan Tang, Lang Li, Li-Juan Gu, Xiao-Yu Xie and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. DHX37 and tumor growth: a novel avenue for melanoma research.Journal of translational medicine · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
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

11 authors at 2 institutions in 2 countries.

Zhi Zeng *Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.ORCID http://orcid.org/0000-0003-4131-050X
Xu Zhang *Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Cong-Qing Jiang *Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Yong-Gang ZhangCentral Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Xue WuDepartment of Biomedical informatics, The Ohio State University, Columbus, OH, USA.
Jin LiDepartment of Biomedical informatics, The Ohio State University, Columbus, OH, USA.
Shan TangDepartment of Biomedical informatics, The Ohio State University, Columbus, OH, USA.
Lang LiDepartment of Biomedical informatics, The Ohio State University, Columbus, OH, USA.
Li-Juan GuCentral Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Xiao-Yu XieDepartment of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China. ZN004356@whu.edu.cn.ORCID http://orcid.org/0000-0002-8193-9487
Ying-An JiangDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan, Hubei, China. jiangya_cn@aliyun.com.ORCID http://orcid.org/0000-0003-4912-7494
Wuhan University · CNThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-scale CRISPR-Cas9 screening technology is a powerful tool to systematically identify genes essential for cancer cell survival. Herein, TKOv3, a genome-scale CRISPR-Cas9 knock-out library, was screened in the gastric cancer (GC) cells, and relevant validation experiments were performed. We obtained 854 essential genes for the AGS cell line, and 184 were novel essential genes. After knocking down essential genes: SPC25, DHX37, ABCE1, SNRPB, TOP3A, RUVBL1, CIT, TACC3 and MTBP, cell viability and proliferation were significantly decreased. Then, we analysed the detected essential genes at different time points and proved more characteristic genes might appear with the extension of selection. After progressive selection using a series of open datasets, 41 essential genes were identified as potential drug targets. Among them, methyltransferase 1 (METTL1) was over expressed in GC tissues. High METTL1 expression was associated with poor prognosis among 3 of 6 GC cohorts. Furthermore, GC cells growth was significantly inhibited after the down-regulation of METTL1 in vitro and in vivo. Function analysis revealed that METTL1 might play a role in the cell cycle through AKT/STAT3 pathways. In conclusion, compared with existing genome-scale screenings, we obtained 184 novel essential genes. Among them, METTL1 was validated as a potential therapeutic target of GC.

Indexed as

Genes, EssentialStomach NeoplasmsCell Line, TumorCell Transformation, NeoplasticCRISPR-Cas SystemsEarly Detection of CancerHumans

Identifiers

PMID35177812
OpenAlexW4213303009

What OpenQuestion holds

Textmetadata
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.