Evidence map›Paper›PMID 36417424›Full record

ArticlePloS one2022

Identification of immune subtypes and their prognosis and molecular implications in colorectal cancer.

Yan Sun, Hongping Li, Zhiming Ma, Jianfei Wang, Huiyu Yang, Xiaopeng Zhang, Bingrong Liu

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

7 authors.

Yan SunDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hongping LiResearch and Development Division, Oriomics Biotech Inc, Hangzhou, Zhejiang, China.
Zhiming MaResearch and Development Division, Oriomics Biotech Inc, Hangzhou, Zhejiang, China.
Jianfei WangResearch and Development Division, Oriomics Biotech Inc, Hangzhou, Zhejiang, China.
Huiyu YangDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaopeng ZhangDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Bingrong LiuDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0001-6101-8675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune composition is commonly heterogeneous and varies among colorectal cancer (CRC) patients. A comprehensive immune classification may act as important characteristics to predict CRC prognosis. Thus, we aimed to identify novel immune specific subtypes to guide future therapies. Unsupervised clustering was used to classify CRC samples into different immune subtypes based on abundances of immune cell populations, during which TCGA and GSE17536 datasets were used as training and validation sets, respectively. The associations between the immune subtypes and patient prognosis were investigated. Further, we identified differentially expressed genes (DEGs) between immune high and low subtypes, followed by functional enrichment analyses of DEGs. The expression levels of 74 immunomodulators (IMs) across immune subtypes were analyzed. As a result, we clustered CRC samples into three distinct immune subtypes (immune high, moderate, and low). Patients with immune-high subtype showed the best prognosis, and patients with immune-low subtype had the worst survival in both TCGA and GSE17536 cohorts. A group of 2735 up-regulated DEGs were identified across immune high and low subtypes. The main DEGs were the members of complement components, chemokines, immunoglobulins, and immunosuppressive genes that are involved in immune modulation-related pathways (e.g., cytokine-cytokine receptor interaction) or GO terms (e.g., adaptive immune response and T cell activation). The expression levels of 63 IMs were significantly varied across immune subtypes. In conclusion, this study provides a conceptual framework and molecular characteristics of CRC immune subtypes, which may accurately predict prognosis and offer novel targets for personalized immunotherapy through modifying subtype-specific tumor immune microenvironment.

Indexed as

Colorectal NeoplasmsCluster AnalysisHumansImmunotherapyPrognosisTumor Microenvironment

Identifiers

PMID36417424
PMCPMC9683557

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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.