Evidence map›Paper›PMID 38506253›Full record

ArticleCancer medicine2024

Transcriptional profile and immune infiltration in colorectal cancer reveal the significance of inducible T-cell costimulator as a crucial immune checkpoint molecule.

Jian Chu, Yinghang Wu, Zhanbo Qu, Jing Zhuang, Jiang Liu, Shugao Han, Wei Wu, Shuwen Han

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Jian ChuHuzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China.
Yinghang WuHuzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China.
Zhanbo QuHuzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China.
Jing ZhuangHuzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China.ORCID 0000-0002-6910-8824
Jiang LiuHuzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China.
Shugao HanSecond Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Wei WuHuzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China.ORCID 0000-0002-4894-7178
Shuwen HanHuzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China.ORCID 0000-0001-6180-9565
Zhejiang Chinese Medical University · CNHuzhou University · CN

Funding

Key research and development project of Science and Technology Department of Zhejiang Province 2022C03026Public Welfare Technology Application Research Program of Huzhou 2021GY05Zhejiang Medical and Health Technology Project 2022KY1178
6 · The paper itself

Abstract

backgroundEmergence of novel immuno-therapeutics has shown promising improvement in the clinical outcome of colorectal cancer (CRC).

objectiveTo identify robust immune checkpoints based on expression and immune infiltration profiles of clinical CRC samples.

methodsOne dataset from The Cancer Genome Atlas database and two from Gene Expression Omnibus were independently employed for the analysis. Genes associated with overall survival were identified, and distribution of each immune checkpoint with respect to different clinical features was determined to explore key immune checkpoints. Multiple staining methods were used to verify the correlation between key immune checkpoint ICOS and clinical pathological features. Differentially expressed mRNA and long non-coding RNA (lncRNA) were then detected for gene set enrichment analysis and gene set variation analysis to investigate the differentially enriched biological processes between low- and high-expression groups. Significant immune-related mRNAs and lncRNA were subjected to competing endogenous RNA (ceRNA) network analysis. Correlation of inducible T-cell costimulator (ICOS) and top 10 genes in ceRNA network were further considered for validation.

resultsICOS was identified from 14 immune checkpoints as the most highly correlated gene with survival and clinical features in CRC. The expression of ICOS protein in the poorly differentiated group was lower than that in the moderately differentiated group, and the expression in different pathological stages was significant. In addition, the expressions of ICOS were negatively correlated with Ki67. A conspicuous number of immune-related pathways were enriched in differentially expressed genes in the ICOS high- and low-expression groups. Integration with immune infiltration data revealed a multitude of differentially expressed immune-related genes enriched for ceRNA network. Furthermore, expression of top 10 genes investigated from ceRNA network showed high correlation with ICOS.

conclusionICOS might serve as a robust immune checkpoint for prognosis with several genes being potential targets of ICOS-directed immunotherapy in CRC.

Indexed as

Colorectal NeoplasmsMicroRNAsRNA, Long NoncodingCell DifferentiationHumansImmune Checkpoint ProteinsT-LymphocytesImmune Checkpoint ProteinsMicroRNAsRNA, Long NoncodingceRNA networkCRCICOSimmune checkpointimmune infiltrationintegration analysis

Identifiers

PMID38506253
PMCPMC10952025
OpenAlexW4393005615

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.