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pmid:36246902

Identification and validation of a signature involving voltage-gated chloride ion channel genes for prediction of prostate cancer recurrence.

Yong Luo · Xiaopeng Liu · Xiaoxiao Li · Weide Zhong · Jingbo Lin · Qingbiao Chen

Frontiers in endocrinology · 2022 doi:10.3389/fendo.2022.1001634

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complete

Experiment

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Data

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Analysis

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title
Identification and validation of a signature involving voltage-gated chloride ion channel genes for prediction of prostate cancer recurrence.
doi
10.3389/fendo.2022.1001634
pmid
36246902
authors array · 6 items
[0]
Yong Luo
[1]
Xiaopeng Liu
[2]
Xiaoxiao Li
[3]
Weide Zhong
[4]
Jingbo Lin
[5]
Qingbiao Chen
journal
Frontiers in endocrinology
year
2022
abstract
Voltage-gated chloride ion channels (CLCs) are transmembrane proteins that maintain chloride ion homeostasis in various cells. Accumulating studies indicated CLCs were related to cell growth, proliferation, and cell cycle. Nevertheless, the role of CLCs in prostate cancer (PCa) has not been systematically profiled. The purpose of this study was to investigate the expression profiles and biofunctions of CLCs genes, and construct a novel risk signature to predict biochemical recurrence (BCR) of PCa patients. We identified five differentially expressed CLCs genes in our cohort and then constructed a signature composed of CLCN2 and CLCN6 through Lasso-Cox regression analysis in the training cohort from the Cancer Genome Atlas (TCGA). The testing and entire cohorts from TCGA and the GSE21034 from the Gene Expression Omnibus (GEO) were used as internal and independent external validation datasets. This signature could divide PCa patients into the high and low risk groups with different prognoses, was apparently correlated with clinical features, and was an independent excellent prognostic indicator. Enrichment analysis indicated our signature was primarily concentrated in cellular process and metabolic process. The expression patterns of CLCN2 and CLCN6 were detected in our own cohort based immunohistochemistry staining, and we found CLCN2 and CLCN6 were highly expressed in PCa tissues compared with benign tissues and positively associated with higher Gleason score and shorter BCR-free time. Functional experiments revealed that CLCN2 and CLCN6 downregulation inhibited cell proliferation, colony formation, invasion, and migration, but prolonged cell cycle and promoted apoptosis. Furthermore, Seahorse assay showed that silencing CLCN2 or CLCN6 exerted potential inhibitory effects on energy metabolism in PCa. Collectively, our signature could provide a novel and robust strategy for the prognostic evaluation and improve treatment decision making for PCa patients.
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We performed Lasso regression analysis in the training cohort and two CLCs (CLCN2 and CLCN6) were used to construct the signature in PCa.
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sections[13] "Development and evaluation of a CLCs signature" paragraph 2
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We performed Lasso regression analysis in the training cohort and two CLCs (CLCN2 and CLCN6) were used to construct the signature in PCa.
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
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Using TCGA-PRAD training, testing, and entire cohorts with GSE21034 as an independent external validation, the CLCN2–CLCN6 signature predicted biochemical recurrence with AUCs of 0.749, 0.674, and 0.754 at 1, 2, and 3 years in the training cohort.
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sections[13] "Development and evaluation of a CLCs signature" paragraph 2
quote
We split PCa patients into the high-risk and low-risk groups with the median risk score as the threshold. Survival analysis indicated that the BCR-free time of the high risk PCa patients was markedly shorter than that of its counterpart ( Figure 3A ), which was validated in internal and external cohorts, namely the testing TCGA-PRAD cohort, the entire TCGA-PRAD cohort, and GSE21034 cohort ( Figures 3B-D ).
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sections[13] "Development and evaluation of a CLCs signature" paragraph 2
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The AUC value was 0.749, 0.674, and 0.754 at 1-, 2-, and 3- years in the training cohort, respectively ( Figure 3A ).
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Using TCGA-PRAD training, testing, and entire cohorts with GSE21034 as an independent external validation, the CLCN2–CLCN6 signature predicted biochemical recurrence with AUCs of 0.749, 0.674, and 0.754 at 1, 2, and 3 years in the training cohort.
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candidate
Automated Assays Laravel application and simulated adapters
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cox_ph
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
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data object · 6 fields
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GSE210205
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
basis
The paper names GSE21034, GSE210205 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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review object · 5 fields
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lineage object · 4 fields
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assays array · 5 items
[0] object · 11 fields
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CLCN6 were detected in our own cohort based immunohistochemistry staining, and we found CLCN2 and CLCN6 were
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paper_text_order:1404
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assay:1
[1] object · 11 fields
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apoptosis_assay
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99e1195c7d6f
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ation, but prolonged cell cycle and promoted apoptosis. Furthermore, Seahorse assay showed that sil
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assay:2
[2] object · 11 fields
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Materials and methods Cell culture and transfection Two non-androgen dependent PCa DU145 and PC3
[1]
atmosphere supplemented with 5% CO2 at 37°C. Transfection of both DU145 and PC3 cell lines using siRNA
[2]
protein in PCa DU145 and PC3 cell lines with transfection of siRNA reagent or control siRNA were detec
[3]
5 and PC3 cell lines using siRNAs or control siRNA was carried out according to the manufacture
order_basis
paper_text_order:2130
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assay:3
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99e1195c7d6f
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NA reagent or control siRNA were detected by Western blot (WB) assay based on our previous report (27)
order_basis
paper_text_order:2841
id
assay:4
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f2132e96ae6c7a4e
evidence array · 1 item
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We performed Lasso regression analysis in the training cohort and two CLCs (CLCN2 and CLCN6) were used to construct the signature in PCa.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36246902", "kind": "science-record", "revision": 4, "content_hash": "sha256:1d9cd9794ec0d1edbc6cf23bcd8c304bc995470917f07e39a76ebd15140cd1e8", "created_at": "2026-11-01T18:15:37Z", "updated_at": "2026-11-01T22:07:51Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and validation of a signature involving voltage-gated chloride ion channel genes for prediction of prostate cancer recurrence.", "doi": "10.3389/fendo.2022.1001634", "pmid": "36246902", "authors": ["Yong Luo", "Xiaopeng Liu", "Xiaoxiao Li", "Weide Zhong", "Jingbo Lin", "Qingbiao Chen"], "journal": "Frontiers in endocrinology", "year": 2022, "abstract": "Voltage-gated chloride ion channels (CLCs) are transmembrane proteins that maintain chloride ion homeostasis in various cells. Accumulating studies indicated CLCs were related to cell growth, proliferation, and cell cycle. Nevertheless, the role of CLCs in prostate cancer (PCa) has not been systematically profiled. The purpose of this study was to investigate the expression profiles and biofunctions of CLCs genes, and construct a novel risk signature to predict biochemical recurrence (BCR) of PCa patients. We identified five differentially expressed CLCs genes in our cohort and then constructed a signature composed of CLCN2 and CLCN6 through Lasso-Cox regression analysis in the training cohort from the Cancer Genome Atlas (TCGA). The testing and entire cohorts from TCGA and the GSE21034 from the Gene Expression Omnibus (GEO) were used as internal and independent external validation datasets. This signature could divide PCa patients into the high and low risk groups with different prognoses, was apparently correlated with clinical features, and was an independent excellent prognostic indicator. Enrichment analysis indicated our signature was primarily concentrated in cellular process and metabolic process. The expression patterns of CLCN2 and CLCN6 were detected in our own cohort based immunohistochemistry staining, and we found CLCN2 and CLCN6 were highly expressed in PCa tissues compared with benign tissues and positively associated with higher Gleason score and shorter BCR-free time. Functional experiments revealed that CLCN2 and CLCN6 downregulation inhibited cell proliferation, colony formation, invasion, and migration, but prolonged cell cycle and promoted apoptosis. Furthermore, Seahorse assay showed that silencing CLCN2 or CLCN6 exerted potential inhibitory effects on energy metabolism in PCa. Collectively, our signature could provide a novel and robust strategy for the prognostic evaluation and improve treatment decision making for PCa patients.", "claims": [{"id": "claim-method", "statement": "We performed Lasso regression analysis in the training cohort and two CLCs (CLCN2 and CLCN6) were used to construct the signature in PCa.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36246902", "locator": "sections[13] \"Development and evaluation of a CLCs signature\" paragraph 2", "quote": "We performed Lasso regression analysis in the training cohort and two CLCs (CLCN2 and CLCN6) were used to construct the signature in PCa."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. 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Survival analysis indicated that the BCR-free time of the high risk PCa patients was markedly shorter than that of its counterpart ( Figure 3A ), which was validated in internal and external cohorts, namely the testing TCGA-PRAD cohort, the entire TCGA-PRAD cohort, and GSE21034 cohort ( Figures 3B-D )."}, {"asset": "source:pmid:36246902", "locator": "sections[13] \"Development and evaluation of a CLCs signature\" paragraph 2", "quote": "The AUC value was 0.749, 0.674, and 0.754 at 1-, 2-, and 3- years in the training cohort, respectively ( Figure 3A )."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using TCGA-PRAD training, testing, and entire cohorts with GSE21034 as an independent external validation, the CLCN2–CLCN6 signature predicted biochemical recurrence with AUCs of 0.749, 0.674, and 0.754 at 1, 2, and 3 years in the training cohort.", "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:36246902"], "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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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE21034", "GSE210205"], "resolved_accessions": ["GSE21034", "GSE210205"], "statements": ["The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material."], "basis": "The paper names GSE21034, GSE210205 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:36246902", "data:geo:GSE210205"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE210205"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:11:09Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 11316, "completion_tokens": 1768, "cached_tokens": 128}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:36246902", "type": "paper", "label": "pmid:36246902"}, {"id": "source:pmid:36246902", "type": "manuscript", "label": "PMID 36246902 full text"}, {"id": "data:geo:GSE210205", "type": "dataset", "label": "GEO GSE210205"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36246902", "type": "paper", "label": "pmid:36246902"}, {"id": "source:pmid:36246902", "type": "manuscript", "label": "PMID 36246902 full text"}, {"id": "data:geo:GSE210205", "type": "dataset", "label": "GEO GSE210205"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36246902", "type": "extraction", "used": ["source:pmid:36246902"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE210205", "type": "accession_resolution", "used": ["data:geo:GSE210205"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:36246902", "parent_hash": "sha256:4ab26661ded04a172a36234a5026207cd7491bd10de46a8d5fad88bd08e07e93", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE210205 licence not read", "asset:data:geo:GSE210205 not downloaded", "asset:data:geo:GSE21034 licence not read", "asset:data:geo:GSE21034 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["CLCN6 were detected in our own cohort based immunohistochemistry staining, and we found CLCN2 and CLCN6 were"], "order_basis": "paper_text_order:1404", "id": "assay:1"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.69, "evidence": ["ation, but prolonged cell cycle and promoted apoptosis. Furthermore, Seahorse assay showed that sil"], "order_basis": "paper_text_order:1787", "id": "assay:2"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["Materials and methods Cell culture and transfection Two non-androgen dependent PCa DU145 and PC3", "atmosphere supplemented with 5% CO2 at 37°C. Transfection of both DU145 and PC3 cell lines using siRNA", "protein in PCa DU145 and PC3 cell lines with transfection of siRNA reagent or control siRNA were detec", "5 and PC3 cell lines using siRNAs or control siRNA was carried out according to the manufacture"], "order_basis": "paper_text_order:2130", "id": "assay:3"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["NA reagent or control siRNA were detected by Western blot (WB) assay based on our previous report (27)"], "order_basis": "paper_text_order:2841", "id": "assay:4"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["We performed Lasso regression analysis in the training cohort and two CLCs (CLCN2 and CLCN6) were used to construct the signature in PCa."], "order_basis": "consumes_earlier_output", "id": "assay:5"}]}