Evidence map›Paper›PMID 39174928›Full record

ArticleBMC cancer2024

Integrative analysis regarding the correlation between collagen-related genes and prostate cancer.

Yunfei Xiao, Cong Lai, Jintao Hu, Yelisudan Mulati, Xiaoting Xu, Jiawen Luo, Degeng Kong, Cheng Liu, Kewei Xu

Abstract read
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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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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

4 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

9 authors.

Yunfei Xiao *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou, Guangdong, 510000, China.
Cong Lai *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou, Guangdong, 510000, China.
Jintao Hu *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou, Guangdong, 510000, China.
Yelisudan MulatiDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou, Guangdong, 510000, China.
Xiaoting XuDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou, Guangdong, 510000, China.
Jiawen LuoDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou, Guangdong, 510000, China.
Degeng KongDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou, Guangdong, 510000, China.
Cheng LiuDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou, Guangdong, 510000, China. liuch278@mail.sysu.edu.cn.
Kewei XuDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou, Guangdong, 510000, China. xukewei@mail.sysu.edu.cn.

Funding

Guangdong Provincial Clinical Research Center for Urological Diseases 2020B1111170006Guangdong Science and Technology Department 2020B1212060018Key Areas Research and Development Program of Guangdong 2020B111114002National Natural Science Foundation of China 82072841Natural Science Foundation of Guangdong Province 2021A1515010199the Guangdong Province key areas research and development plan 2023B1111030006
6 · The paper itself

Abstract

purposeProstate cancer (PCa) is a common malignancy in men, with an escalating mortality rate attributed to Recurrence and metastasis. Recent studies have illuminated collagen's critical regulatory role within the tumor microenvironment, significantly influencing tumor progression. Accordingly, this investigation is dedicated to examining the relationship between genes linked to collagen and the prognosis of PCa, with the objective of uncovering any possible associations between them.

methodsGene expression data for individuals with prostate cancer were obtained from the TCGA repository. Collagen-related genes were identified, leading to the development of a risk score model associated with biochemical recurrence-free survival (BRFS). A prognostic nomogram integrating the risk score with essential clinical factors was crafted and evaluated for efficacy. The influence of key collagen-related genes on cellular behavior was confirmed through various assays, including CCK8, invasion, migration, cell cloning, and wound healing. Immunohistochemical detection was used to evaluate PLOD3 expression in prostate cancer tissue samples.

resultsOur study identified four key collagen-associated genes (PLOD3, COL1A1, MMP11, FMOD) as significant. Survival analysis revealed that low-risk groups, based on the risk scoring model, had significantly improved prognoses. The risk score was strongly associated with prostate cancer prognosis. Researchers then created a nomogram, which demonstrated robust predictive efficacy and substantial clinical applicability.Remarkably, the suppression of PLOD3 expression notably impeded the proliferation, invasion, migration, and colony formation capabilities of PCa cells.

conclusionThe risk score, derived from four collagen-associated genes, could potentially act as a precise prognostic indicator for BRFS of patients. Simultaneously, our research has identified potential therapeutic targets related to collagen. Notably, PLOD3 was differentially expressed in cancer and para-cancer tissues in clinical specimens and it also was validated through in vitro studies and shown to suppress PCa tumorigenesis following its silencing.

Indexed as

Collagen Type ICollagen Type I, alpha 1 ChainNomogramsProcollagen-Lysine, 2-Oxoglutarate 5-DioxygenaseProstatic NeoplasmsAgedBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationCollagenGene Expression Regulation, NeoplasticHumansMaleMatrix Metalloproteinase 11PrognosisBiomarkers, TumorCOL1A1 protein, humanCollagenCollagen Type ICollagen Type I, alpha 1 ChainMatrix Metalloproteinase 11MMP11 protein, humanProcollagen-Lysine, 2-Oxoglutarate 5-DioxygenaseCollagen-related genesNomogramPrognosisProstate cancerRisk scoring modelTCGA

Identifiers

PMID39174928
PMCPMC11342612

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LicenceCC BY-NC-ND
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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.