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pmid:36275733

The established chemokine-related prognostic gene signature in prostate cancer: Implications for anti-androgen and immunotherapies.

Lei Chen · Yi Zheng · Changqin Jiang · Cheng Yang · Li Zhang · Chaozhao Liang

Frontiers in immunology · 2022 doi:10.3389/fimmu.2022.1009634

Paper

complete

Experiment

complete

Data

partial

Analysis

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absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:36275733
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2026-11-01T18:15:40Z
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2026-11-01T21:29:17Z
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paper object · 10 fields
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title
The established chemokine-related prognostic gene signature in prostate cancer: Implications for anti-androgen and immunotherapies.
doi
10.3389/fimmu.2022.1009634
pmid
36275733
authors array · 6 items
[0]
Lei Chen
[1]
Yi Zheng
[2]
Changqin Jiang
[3]
Cheng Yang
[4]
Li Zhang
[5]
Chaozhao Liang
journal
Frontiers in immunology
year
2022
abstract
Background: Prostate cancer (PCa) was one of the most common malignancies among men, while the prognosis for PCa patients was poor, especially for patients with recurrent and advanced diseases. Materials and methods: Five PCa cohorts were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases, and the biochemical recurrence (BCR)-related chemokine genes were identified by LASSO-Cox regression. The chemokine-related prognostic gene signature (CRPGS) was established, and its association with PCa patients' clinical, pathological and immune characteristics was analyzed. The association between CRPGS and PCa patients' responses to androgen deprivation therapy (ADT) and immunotherapy was analyzed. The CRPGS was compared with other previously published molecular signatures, and the CRPGS was externally validated in our real-world AHMU-PC cohort. Results: Four recurrence-free survival (RFS)-related chemokine genes (CXCL14, CCL20, CCL24, and CCL26) were identified, and the CRPGS was established based on the four identified chemokine genes, and TCGA-PRAD patients with high riskscores exhibited poorer RFS, which was validated in the GSE70768 cohort. The CRPGS was associated with the clinical, pathological, and immune characteristics of PCa patients. Low-risk PCa patients were predicted to respond better to ADT and immunotherapy. By comparing with other molecular signatures, the CRPGS could classify PCa patients into two risk groups well, and the CRPGS was associated with the m6A level, as well as TP53 and SPOP mutation status of PCa patients. In the AHMU-PC cohort, the CRPGS was associated with the advanced pathology stage and Gleason score. Conclusions: The identified chemokine genes and CRPGS were associated with the prognosis of PCa, which could predict PCa patients' responses to anti-androgen and immunotherapies.
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Univariate Cox regression analysis and LASSO-Cox regression analysis were performed to identify prognostic chemokine genes, and the CRPGS was established based on the identified chemokine genes, and the detailed information could be found in the Supplementary Materials and Methods.
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sections[4] "Establishment of chemokine-related prognostic gene signature (CRPGS) in PCa" paragraph 2
quote
Univariate Cox regression analysis and LASSO-Cox regression analysis were performed to identify prognostic chemokine genes, and the CRPGS was established based on the identified chemokine genes, and the detailed information could be found in the Supplementary Materials and Methods.
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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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Five PCa cohorts were analyzed to identify BCR-related chemokine genes by LASSO-Cox regression and establish the CRPGS.
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sections[0] "Abstract" paragraph 2
quote
Five PCa cohorts were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases, and the biochemical recurrence (BCR)-related chemokine genes were identified by LASSO-Cox regression.
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complete
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Five PCa cohorts were analyzed to identify BCR-related chemokine genes by LASSO-Cox regression and establish the CRPGS.
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mRNA expressions in pre-treatment melanomas undergoing anti-PD-1 checkpoint inhibition therapy
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Univariate Cox regression analysis and LASSO-Cox regression analysis were performed to identify prognostic chemokine genes, and the CRPGS was established based on the identified chemokine genes, and the detailed information could be found in the Supplementary Materials and Methods.
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Univariate Cox regression analysis and LASSO-Cox regression analysis were performed to identify prognostic chemokine genes, and the CRPGS was established based on the identified chemokine genes, and the detailed information could be found in the Supplementary Materials and Methods.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36275733", "kind": "science-record", "revision": 3, "content_hash": "sha256:e9831c8b9f503ad3f3f523590289ed46ebf35ddaa06b206b9a8236691ec115c6", "created_at": "2026-11-01T18:15:40Z", "updated_at": "2026-11-01T21:29:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The established chemokine-related prognostic gene signature in prostate cancer: Implications for anti-androgen and immunotherapies.", "doi": "10.3389/fimmu.2022.1009634", "pmid": "36275733", "authors": ["Lei Chen", "Yi Zheng", "Changqin Jiang", "Cheng Yang", "Li Zhang", "Chaozhao Liang"], "journal": "Frontiers in immunology", "year": 2022, "abstract": "Background: Prostate cancer (PCa) was one of the most common malignancies among men, while the prognosis for PCa patients was poor, especially for patients with recurrent and advanced diseases.\nMaterials and methods: Five PCa cohorts were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases, and the biochemical recurrence (BCR)-related chemokine genes were identified by LASSO-Cox regression. The chemokine-related prognostic gene signature (CRPGS) was established, and its association with PCa patients' clinical, pathological and immune characteristics was analyzed. The association between CRPGS and PCa patients' responses to androgen deprivation therapy (ADT) and immunotherapy was analyzed. The CRPGS was compared with other previously published molecular signatures, and the CRPGS was externally validated in our real-world AHMU-PC cohort.\nResults: Four recurrence-free survival (RFS)-related chemokine genes (CXCL14, CCL20, CCL24, and CCL26) were identified, and the CRPGS was established based on the four identified chemokine genes, and TCGA-PRAD patients with high riskscores exhibited poorer RFS, which was validated in the GSE70768 cohort. The CRPGS was associated with the clinical, pathological, and immune characteristics of PCa patients. Low-risk PCa patients were predicted to respond better to ADT and immunotherapy. By comparing with other molecular signatures, the CRPGS could classify PCa patients into two risk groups well, and the CRPGS was associated with the m6A level, as well as TP53 and SPOP mutation status of PCa patients. In the AHMU-PC cohort, the CRPGS was associated with the advanced pathology stage and Gleason score.\nConclusions: The identified chemokine genes and CRPGS were associated with the prognosis of PCa, which could predict PCa patients' responses to anti-androgen and immunotherapies.", "claims": [{"id": "claim-method", "statement": "Univariate Cox regression analysis and LASSO-Cox regression analysis were performed to identify prognostic chemokine genes, and the CRPGS was established based on the identified chemokine genes, and the detailed information could be found in the Supplementary Materials and Methods.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36275733", "locator": "sections[4] \"Establishment of chemokine-related prognostic gene signature (CRPGS) in PCa\" paragraph 2", "quote": "Univariate Cox regression analysis and LASSO-Cox regression analysis were performed to identify prognostic chemokine genes, and the CRPGS was established based on the identified chemokine genes, and the detailed information could be found in the Supplementary Materials and Methods."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/ Supplementary Material , further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36275733", "locator": "sections[26] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/ Supplementary Material , further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Five PCa cohorts were analyzed to identify BCR-related chemokine genes by LASSO-Cox regression and establish the CRPGS.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36275733", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Five PCa cohorts were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases, and the biochemical recurrence (BCR)-related chemokine genes were identified by LASSO-Cox regression."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Five PCa cohorts were analyzed to identify BCR-related chemokine genes by LASSO-Cox regression and establish the CRPGS.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:36275733"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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