Evidence map›Paper›PMID 37545621›Full record

ArticleOncology letters2023

Exploration of novel clusters and prognostic value of immune‑related signatures and identify HAMP as hub gene in colorectal cancer.

Hongyuan Wu, Heling Dong, Shaofang Ren, Jianxin Chen, Yan Zhang, Meng Dai, Yinfen Wu, Xuefang Zhang

Abstract read
In one paragraph

Article in Oncology letters, 2023. 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
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hongyuan WuDepartment of Radiation Oncology, Affiliated Dongguan People's Hospital of Southern Medical University, Dongguan, Guangdong 523009, P.R. China.
Heling DongSchool of Sports Education, Jinan University, Guangzhou, Guangdong 510632, P.R. China.
Shaofang RenState Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Jianxin ChenDepartment of General Surgery, Affiliated Dongguan People's Hospital of Southern Medical University, Dongguan, Guangdong 523009, P.R. China.
Yan ZhangDepartment of Radiation Oncology, Affiliated Dongguan People's Hospital of Southern Medical University, Dongguan, Guangdong 523009, P.R. China.
Meng DaiDepartment of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Yinfen WuDepartment of Oncology, Affiliated Dongguan People's Hospital of Southern Medical University, Dongguan, Guangdong 523009, P.R. China.
Xuefang ZhangDepartment of Radiation Oncology, Affiliated Dongguan People's Hospital of Southern Medical University, Dongguan, Guangdong 523009, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors currently serve an important role in prolonging patients' overall survival. However, the prognostic signatures of immune checkpoint inhibitors in colorectal cancer (CRC) remain uncertain and more knowledge on the genetic characteristics of colorectal cancer is needed. Patients with CRC from The Cancer Genome Atlas were classified into high-immunity group and low-immunity group based on median scores from single-sample gene set enrichment analysis using the GSVA package. We explored immune status by immune scores, stromal scores and tumor purity scores in ESTIMATE package and surveyed the difference of immune cells distribution with CIBERSORT package. Eighteen genes were selected using the LASSO Cox regression method and a prognostic risk model was constructed. Compared with patients in the low-risk group, those in the high-risk group had a significantly shorter survival time. For assessment of the prognostic validity of the risk model, receiver operating characteristic curves with areas under the curve of 0.769, 0.774 and 0.771 for 1, 3 and 5 years respectively. Differences in molecular mechanisms between high- and low-risk groups were analyzed using the clusterProfiler package. Tumor Immune Dysfunction and Exclusion data were downloaded and analyzed. The top 5 enriched pathways in the high-risk group involved 'calcium signaling', 'dilated cardiomyopathy', 'extracellular matrix receptor interaction', 'hypertrophic cardiomyopathy' and 'neuroactive ligand receptor interaction'.

Indexed as

colorectal cancerHAMPimmune-related signaturesprognostic value

Identifiers

PMID37545621
PMCPMC10398624

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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.