Evidence map›Paper›PMID 39342165›Full record

ArticleBMC cancer2024

Functional gene signature offers a powerful tool for characterizing clinicopathological features and depicting tumor immune microenvironment of colorectal cancer.

Ziyan Zhu, Jikun Li, Zhenzhong Fa, Xuezhong Xu, Yue Wang, Jie Zhou, Yixin Xu

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In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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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

Who cites it

3 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.

Ziyan ZhuDepartment of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jikun LiDepartment of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhenzhong FaDepartment of General Surgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, Jiangsu Province, China.
Xuezhong XuDepartment of General Surgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, Jiangsu Province, China.
Yue WangDepartment of General Surgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, Jiangsu Province, China.
Jie ZhouDepartment of General Surgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, Jiangsu Province, China.
Yixin XuDepartment of General Surgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, Jiangsu Province, China. xuyixin@wjrmyy.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer, a prevalent malignancy worldwide, poses a significant challenge due to the lack of effective prognostic tools. In this study, we aimed to develop a functional gene signature to stratify colorectal cancer patients into different groups with distinct characteristics, which will greatly facilitate disease prediction.

resultsPatients were stratified into high- and low-risk groups using a prediction model built based on the functional gene signature. This innovative approach not only predicts clinicopathological features but also reveals tumor immune microenvironment types and responses to immunotherapy. The study reveals that patients in the high-risk group exhibit poorer pathological features, including invasion depth, lymph node metastasis, and distant metastasis, as well as unfavorable survival outcomes in terms of overall survival and disease-free survival. The underlying mechanisms for these observations are attributed to upregulated tumor-related signaling pathways, increased infiltration of pro-tumor immune cells, decreased infiltration of anti-tumor immune cells, and a lower tumor mutation burden. Consequently, patients in the high-risk group exhibit a diminished response to immunotherapy. Furthermore, the high-risk group demonstrates enrichment in extracellular matrix-related functions and significant infiltration of cancer-associated fibroblasts (CAFs). Single-cell transcriptional data analysis identifies CAFs as the primary cellular type expressing hub genes, namely ACTA2, TPM2, MYL9, and TAGLN. This finding is further validated through multiple approaches, including multiplex immunohistochemistry (mIHC), polymerase chain reaction (PCR), and western blot analysis. Notably, TPM2 emerges as a potential biomarker for identifying CAFs in colorectal cancer, distinguishing them from both colorectal cancer cell lines and normal colon epithelial cell lines. Co-culture of CAFs and colorectal cancer cells revealed that CAFs could enhance the tumorigenic biofunctions of cancer cells indirectly, which could be partially inhibited by knocking down CAF original TPM2 expression.

conclusionsThis study introduces a functional gene signature that effectively and reliably predicts clinicopathological features and the tumor immune microenvironment in colorectal cancer. Moreover, the identification of TPM2 as a potential biomarker for CAFs holds promising implications for future research and clinical applications in the field of colorectal cancer.

Indexed as

Colorectal NeoplasmsTumor MicroenvironmentBiomarkers, TumorCancer-Associated FibroblastsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisTranscriptomeBiomarkers, TumorClinicopathological featuresColorectal cancerFunctional gene signatureSingle-cell transcriptomicsTumor immune microenvironment

Identifiers

PMID39342165
PMCPMC11437988

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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.