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pmid:33816226

COL5A2 Promotes Proliferation and Invasion in Prostate Cancer and Is One of Seven Gleason-Related Genes That Predict Recurrence-Free Survival.

Xiaohan Ren · Xinglin Chen · Kai Fang · Xu Zhang · Xiyi Wei · Tongtong Zhang · Guangyao Li · Zhongwen Lu · Ninghong Song · Shangqian Wang · Chao Qin

Frontiers in oncology · 2021 doi:10.3389/fonc.2021.583083

Paper

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Experiment

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Data

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Analysis

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title
COL5A2 Promotes Proliferation and Invasion in Prostate Cancer and Is One of Seven Gleason-Related Genes That Predict Recurrence-Free Survival.
doi
10.3389/fonc.2021.583083
pmid
33816226
authors array · 11 items
[0]
Xiaohan Ren
[1]
Xinglin Chen
[2]
Kai Fang
[3]
Xu Zhang
[4]
Xiyi Wei
[5]
Tongtong Zhang
[6]
Guangyao Li
[7]
Zhongwen Lu
[8]
Ninghong Song
[9]
Shangqian Wang
[10]
Chao Qin
journal
Frontiers in oncology
year
2021
abstract
Extensive research has revealed that the score derived from the Gleason grading system plays a pivotal role in predicting prostate cancer (PCa) progression. However, the underlying involvement of Gleason-related genes in PCa requires further investigation. This study aimed to identify Gleason-related genes with the potential to guide PCa therapy and future research. Differentially expressed genes (DEGs) were identified by comparing PCa tissues with high or low Gleason scores using the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases. R v3.6.1, SPSS v23, and ImageJ software were used for all analyses. An effective recurrence-free survival (RFS) predictive model based on seven Gleason-related genes was established and validated (TCGA, AUC = 0.803; five years, AUC = 0.740; three years, AUC = 0.722; one year, AUC = 0.711; GSE46602, AUC = 0.766; five years, AUC = 0.808; three years, AUC = 0.723; one year, AUC = 0.656; GSE116918, AUC = 0.788; five years, AUC = 0.704; three years, AUC = 0.693; one year, AUC = 0.996). Calibration and nomogram plots were conducted. Weighted correlation network analysis (WGCNA) was used, and COL5A2 was selected for further analysis. The results from in vitro experiments demonstrated that COL5A2 was upregulated in PCa with high Gleason scores. The knockdown of COL5A2 inhibited cell proliferation and invasion in PC-3 and LNCaP cell lines. Meanwhile, COL5A2 displayed a strong association with immune infiltration, which might be an underlying immunotherapy target for PCa. We successfully established a robust RFS predictive model. The findings from this study indicated that COL5A2 could promote cell proliferation and invasion in PCa.
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Genes that were differentially expressed between the high-risk and low-risk groups were analyzed using the limma package in R.
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Homo sapiens
title
Prostate cancer stratification using molecular profiles [CamCap ExpressionArray]
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A total of 81 DEGs were identified from the TCGA and GEO datasets, with 12 upregulated and 69 downregulated.
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Identification of Differentially Expressed Genes
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Table 1
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A total of 81 DEGs were identified from the TCGA and GEO datasets, with 12 upregulated and 69 downregulated.
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COL5A2, MMP11, COL3A1, WNT5A, VCAN, TUBB3, LAMC3, TOP2A, CDC20, CELSR3, SPP1, COL1A1
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MSMB, NPY, AZGP1, CDC42EP5, ANPEP, NEFH, MT1G, ACPP, MT1M, PAGE4, OR51E2, NCAPD3, PGC, SERPINA3, MT1F, ALOX15B, VSIG2, FOSB, ACTG2, TFF3, MYH11, KIAA1324, PTGDS, DES, CPE, CYP27A1, CHRM1, LCN2, PCP4, MYBPC1, ORM2, FAM107A, CNN1, MT1A, RLN1, GNG4, RASD1, GLB1L2, MYL9, EPHX2, KRT15, BCAS1, STXBP6, CSRP1, HMGCS2, KIAA1210, GMPR, SCIN, PCA3, CD38, POTEG, PRDM8, FMOD, FAM46B, DPP4, APOF, TGM3, GNMT, HSPB6, MT1E, TSPAN1, TCEAL2, RDH16, MT1H, TMEM158, FAM3B, FMO5, SYNM, AFF3
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The seven genes of the RFS prediction model.
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Establishment and Validation of the RFS Prediction Model
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The seven genes of the RFS prediction model.
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quote
Genes that were differentially expressed between the high-risk and low-risk groups were analyzed using the limma package in R.
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Automated Assays Laravel application and simulated adapters
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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GSE46602
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GSE116918
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GSE116918
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The original contributions presented in the study are included in the article/ Supplementary Material Further inquiries can be directed to the corresponding authors.
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gulated in PCa with high Gleason scores. The knockdown of COL5A2 inhibited cell proliferation and i
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Genes that were differentially expressed between the high-risk and low-risk groups were analyzed using the limma package in R.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33816226", "kind": "science-record", "revision": 8, "content_hash": "sha256:a6d388c971927aae494cfd469f195aa7d9b31e3ea174ae7ba94231b583b1507a", "created_at": "2026-11-01T15:41:31Z", "updated_at": "2026-11-01T22:46:27Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "COL5A2 Promotes Proliferation and Invasion in Prostate Cancer and Is One of Seven Gleason-Related Genes That Predict Recurrence-Free Survival.", "doi": "10.3389/fonc.2021.583083", "pmid": "33816226", "authors": ["Xiaohan Ren", "Xinglin Chen", "Kai Fang", "Xu Zhang", "Xiyi Wei", "Tongtong Zhang", "Guangyao Li", "Zhongwen Lu", "Ninghong Song", "Shangqian Wang", "Chao Qin"], "journal": "Frontiers in oncology", "year": 2021, "abstract": "Extensive research has revealed that the score derived from the Gleason grading system plays a pivotal role in predicting prostate cancer (PCa) progression. However, the underlying involvement of Gleason-related genes in PCa requires further investigation. This study aimed to identify Gleason-related genes with the potential to guide PCa therapy and future research. Differentially expressed genes (DEGs) were identified by comparing PCa tissues with high or low Gleason scores using the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases. R v3.6.1, SPSS v23, and ImageJ software were used for all analyses. An effective recurrence-free survival (RFS) predictive model based on seven Gleason-related genes was established and validated (TCGA, AUC = 0.803; five years, AUC = 0.740; three years, AUC = 0.722; one year, AUC = 0.711; GSE46602, AUC = 0.766; five years, AUC = 0.808; three years, AUC = 0.723; one year, AUC = 0.656; GSE116918, AUC = 0.788; five years, AUC = 0.704; three years, AUC = 0.693; one year, AUC = 0.996). Calibration and nomogram plots were conducted. Weighted correlation network analysis (WGCNA) was used, and COL5A2 was selected for further analysis. The results from in vitro experiments demonstrated that COL5A2 was upregulated in PCa with high Gleason scores. The knockdown of COL5A2 inhibited cell proliferation and invasion in PC-3 and LNCaP cell lines. Meanwhile, COL5A2 displayed a strong association with immune infiltration, which might be an underlying immunotherapy target for PCa. We successfully established a robust RFS predictive model. 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