Evidence map›Paper›PMID 37441804›Full record

ArticleAging2023

Exploring Cancer Dependency Map genes and immune subtypes in colon cancer, in which

Guoyang Zhang, Zongfeng Feng, Qingwen Zeng, Ping Huang

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Beyond Transposons:Genes · 2025
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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

4 authors at 2 institutions in 1 country.

Guoyang ZhangDepartment of General Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China.
Zongfeng FengDepartment of General Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China.
Qingwen ZengDepartment of General Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China.
Ping HuangDepartment of Nutrition, The First Affiliated Hospital of Nanchang University, Nanchang, China.
First Affiliated Hospital of Nanchang University · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumour-dependent genes identified in CRISPR-Cas9 screens have been widely reported in Cancer Dependency Maps (CDMs). CDM-derived tumour-dependent genes play an important role in tumorigenesis and progression; however, they have not been investigated in colon cancer (CC).

methodsCDM genes overexpressed in CC were identified from the TCGA-COAD dataset and CDM platform. A CDM signature and prognostic nomogram were constructed by Lasso Cox regression and multivariate Cox analyses. A weighted correlation network analysis (WGCNA) and consensus clustering were used to define coexpressed genes with CDM risk scores and to determine two new immune subtypes. A comprehensive investigation was performed between the two subtypes and immune regulation, the immune microenvironment and the impact of immunotherapy.

resultsFirst, 1304 overexpressed CDM genes were identified. Then, a CDM signature with five cancer-dependent genes (

conclusionsThis study constructed a CDM signature consisting of five risk genes that predict survival in CC patients. In addition, the immune subtypes provided valuable insights into immunotherapy for CC patients.

Indexed as

Colonic NeoplasmsCarcinogenesisCell Transformation, NeoplasticHumansNuclear ProteinsOncogenesTumor MicroenvironmentNuclear ProteinsTIGD1 protein humancancer dependency mapCDM immune subtypescolon cancerCRISPR-Cas9prognostic signature

Identifiers

PMID37441804
PMCPMC10373975
OpenAlexW4384154275

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.