Evidence map›Paper›PMID 33401247›Full record

ArticleAging2020

Identification and validation of an immune-related gene signature predictive of overall survival in colon cancer.

Xuening Zhang, Hao Zhao, Xuezhong Shi, Xiaocan Jia, Yongli Yang

Open access · greenAbstract readValidation Study
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
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  16. Links BetweenFrontiers in cell and developmental biology · 2022
    Article
  17. A Prognostic Model Using Immune-Related Genes for Colorectal Cancer.Frontiers in cell and developmental biology · 2022
    Article
  18. Article
  19. Immunological role and prognostic potential of CLEC10A in pan-cancer.American journal of translational research · 2022
    Article
  20. 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

5 authors at 1 institution in 1 country.

Xuening ZhangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China.
Hao ZhaoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China.
Xuezhong ShiDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China.
Xiaocan JiaZhengzhou University Library, Zhengzhou University, Zhengzhou 450001, Henan, China.
Yongli YangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China.
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heterogeneity and complexity of tumor-immune microenvironments lead to diverse immunotherapy effects among colon cancer patients. It is crucial to identify immune microenvironment-related biomarkers and construct prognostic risk models. In this study, the immune and stromal scores of 415 cases from TCGA were calculated using the ESTIMATE algorithm. AXIN2, CCL22, CLEC10A, CRIP2, RUNX3, and TRPM5 were screened and established a prognostic immune-related gene (IRG) signature using by univariate, LASSO, and multivariate Cox regression models. The predicted performance of IRG signature was external validated by GSE39582 (n=519). Stratified survival analysis showed IRG signature was an effective predictor of survival in patients with different clinical characteristics. The protein expression level of six genes was validated by immunohistochemistry analysis. Difference analysis indicated the mutation rate, immune cell of resting NK cells and regulatory T cells infiltration and four immune checkpoints of PD-1, PD-L1, LAG3 and VSIR expression levels in the high-risk group were significantly higher than those in the low-risk group. A nomogram incorporating the gene signatures and clinical factors was demonstrated had a good accuracy (1-, 3-, and 5-year AUC= 0.799, 0.791, 0.738). Our study identified a novel IRG signature, which may provide some references for the clinical precision immunotherapy of patients.

Indexed as

TranscriptomeAdaptor Proteins, Signal TransducingAdenocarcinomaAgedAntigens, CDAxin ProteinB7 AntigensB7-H1 AntigenChemokine CCL22Colonic NeoplasmsCore Binding Factor Alpha 3 SubunitDatabases, GeneticFemaleHumansKiller Cells, NaturalLectins, C-TypeAdaptor Proteins, Signal TransducingAntigens, CDAXIN2 protein, humanAxin ProteinB7 AntigensB7-H1 AntigenCCL22 protein, humanCD274 protein, humanChemokine CCL22CLEC10A protein, humanCore Binding Factor Alpha 3 SubunitCRIP2 protein, humanLag3 protein, humanLectins, C-TypeLIM Domain ProteinsLymphocyte Activation Gene 3 ProteinPDCD1 protein, humanProgrammed Cell Death 1 ReceptorRunx3 protein, humanTRPM5 protein, humanTRPM Cation ChannelsVSIR protein, humancolon cancerimmune checkpointsimmune-related genesprognostic modeltumor mutation burden

Identifiers

PMID33401247
PMCPMC7803520
OpenAlexW3116932663

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.