A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32754277", "kind": "science-record", "revision": 8, "content_hash": "sha256:372d3062b313c7252a0154ce9d5f2eef682bcc1aabeef3e9f09f01f87398f6dc", "created_at": "2026-11-01T15:41:07Z", "updated_at": "2026-11-01T22:01:59Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse.", "doi": "10.7150/thno.46142", "pmid": "32754277", "authors": ["Hsiao-Chin Hong", "Cheng-Hsun Chuang", "Wei-Chih Huang", "Shun-Long Weng", "Chia-Hung Chen", "Kuang-Hsin Chang", "Kuang-Wen Liao", "Hsien-Da Huang"], "journal": "Theranostics", "year": 2020, "abstract": "Rationale: Triple-negative breast cancer (TNBC), which has the highest recurrence rate and shortest survival time of all breast cancers, is in urgent need of a risk assessment method to determine an accurate treatment course. Recently, miRNA expression patterns have been identified as potential biomarkers for diagnosis, prognosis, and personalized therapy. Here, we investigate a combination of candidate miRNAs as a clinically applicable signature that can precisely predict relapse in TNBC patients after surgery. Methods: Four total cohorts of training (TCGA_TNBC and GEOD-40525) and validation (GSE40049 and GSE19783) datasets were analyzed with logistic regression and Gaussian mixture analyses. We established a miRNA signature risk model and identified an 8-miRNA signature for the prediction of TNBC relapse. Results: The miRNA signature risk model identified ten candidate miRNAs in the training set. By combining 8 of the 10 miRNAs (miR-139-5p, miR-10b-5p, miR-486-5p, miR-455-3p, miR-107, miR-146b-5p, miR-324-5p and miR-20a-5p), an accurate predictive model of relapse in TNBC patients was established and was highly correlated with prognosis (AUC of 0.80). Subsequently, this 8-miRNA signature prognosticated relapse in the two validation sets with AUCs of 0.89 and 0.90. Conclusion: The 8-miRNA signature predictive model may help clinicians provide a prognosis for TNBC patients with a high risk of recurrence after surgery and provide further personalized treatment to decrease the chance of relapse.", "claims": [{"id": "claim-method", "statement": "Logistic regression analysis was used to construct combined models to predict recurrence.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32754277", "locator": "sections[4] \"Gaussian mixture and logistic regression models for predicting recurrence\" paragraph 2", "quote": "Logistic regression analysis was used to construct combined models to predict recurrence."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Two public datasets were analyzed in the training set: TNBC miRNA sequencing data from TCGA_BRCA level 3 data (The Cancer Genome Atlas (TCGA, https://www.ncbi.nlm.nih.gov/) and GEOD-40525 data from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/gds). All datasets followed the classification system of Voduc et al, which is based on the immunohistochemical (IHC) semiquantitative analysis of ER, PR and HER2 expression, as recommended by international guidelines 22. The TCGA_BRCA data had 117 TNBC (TCGA_TNBC dataset) and 637 non-TNBC (TCGA_non-TNBC dataset) patients.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32754277", "locator": "sections[3] \"Collection and processing of expression profile data\" paragraph 2", "quote": "Two public datasets were analyzed in the training set: TNBC miRNA sequencing data from TCGA_BRCA level 3 data (The Cancer Genome Atlas (TCGA, https://www.ncbi.nlm.nih.gov/) and GEOD-40525 data from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/gds). All datasets followed the classification system of Voduc et al, which is based on the immunohistochemical (IHC) semiquantitative analysis of ER, PR and HER2 expression, as recommended by international guidelines 22. The TCGA_BRCA data had 117 TNBC (TCGA_TNBC dataset) and 637 non-TNBC (TCGA_non-TNBC dataset) patients."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:32754277"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:E-MTAB-1989"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:E-MTAB-1989"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32754277", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.7150/thno.46142", "sha256": "sha256:7f41b746a1f7558d163471a00ed17ac3ef2790444ebc93e29e3b2e4c01dda89c", "bytes": 62683, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.7150/thno.46142", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7392022", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:E-MTAB-1989", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=E-MTAB-1989", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "E-MTAB-1989", "version": null, "note": "Two public datasets were analyzed in the training set: TNBC miRNA sequencing data from TCGA_BRCA level 3 data (The Cancer Genome Atlas (TCGA, https://www.ncbi.nlm.nih.gov/) and GEOD-40525 data from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/gds). All datasets followed the classification system of Voduc et al, which is based on the immunohistochemical (IHC) semiquantitative analysis of ER, PR and HER2 expression, as recommended by international guidelines 22. The TCGA_BRCA data had 117 TNBC (TCGA_TNBC dataset) and 637 non-TNBC (TCGA_non-TNBC dataset) patients.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Two public datasets were analyzed in the training set: TNBC miRNA sequencing data from TCGA_BRCA level 3 data (The Cancer Genome Atlas (TCGA, https://www.ncbi.nlm.nih.gov/) and GEOD-40525 data from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/gds). All datasets followed the classification system of Voduc et al, which is based on the immunohistochemical (IHC) semiquantitative analysis of ER, PR and HER2 expression, as recommended by international guidelines 22. The TCGA_BRCA data had 117 TNBC (TCGA_TNBC dataset) and 637 non-TNBC (TCGA_non-TNBC dataset) patients.", "access_statement_kind": "repository_route_statement", "sample_accessions": [], "sample_count": null, "group_sizes": null, "group_sizes_basis": null, "platform": null, "taxon": null, "title": null, "resolution_checked_at": "2026-10-31T18:28:58Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE19783", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE19783", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE19783", "version": null, "note": "Two public datasets were analyzed in the training set: TNBC miRNA sequencing data from TCGA_BRCA level 3 data (The Cancer Genome Atlas (TCGA, https://www.ncbi.nlm.nih.gov/) and GEOD-40525 data from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/gds). All datasets followed the classification system of Voduc et al, which is based on the immunohistochemical (IHC) semiquantitative analysis of ER, PR and HER2 expression, as recommended by international guidelines 22. The TCGA_BRCA data had 117 TNBC (TCGA_TNBC dataset) and 637 non-TNBC (TCGA_non-TNBC dataset) patients.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Two public datasets were analyzed in the training set: TNBC miRNA sequencing data from TCGA_BRCA level 3 data (The Cancer Genome Atlas (TCGA, https://www.ncbi.nlm.nih.gov/) and GEOD-40525 data from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/gds). All datasets followed the classification system of Voduc et al, which is based on the immunohistochemical (IHC) semiquantitative analysis of ER, PR and HER2 expression, as recommended by international guidelines 22. 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"125", "15"], ["Age (years)", "57.42±14.56", "NA"], ["Preservation type", "Fresh tissue", "Fresh tissue"], ["TNM Stage", "", ""], ["I", "21", "NA"], ["II", "68", "NA"], ["III", "21", "NA"], ["IV", "1", "NA"], ["Other", "6", "NA"], ["Lymph node metastasis", ""], ["Present", "74", "5"], ["Absent", "37", "3"], ["Other", "6", "0"], ["Distant metastasis", "", ""], ["Present", "4", "NA"], ["Absent", "107", "NA"], ["Other", "6", "NA"], ["Number of deaths", "96", "NA"], ["Median survival (months)", "25.4", "NA"], ["Follow-up period (days)", ""], ["Median", "858", "NA"], ["Range", "1-3472", "NA"], ["Platform", "Illumina HiSeq 2000 miRNA Sequencing, Illumina Genome Analyzer miRNA Sequencing", "Agilent 019118 Human miRNA Microarray 2.0"]], "row_count": 27, "column_count": 3, "numeric_cells": 28, "header_rows": 1, "locator": "section[9]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:32754277:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:06420ce0b7018de005e761a298c99cb79fbebe0fecc40599007eda0bd4e2c6ff", "bytes": 1425, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[2]#T2", "version": null, "note": "The expression of ten candidate miRNAs in TNBC tissue between the TCGA_TNBC and GEOD-40525 datasets.", "structure": {"pmcid": "PMC7392022", "section_index": 9, "section_title": "Screening of candidate miRNAs from public datasets", "row_count": 14, "column_count": 8}, "table": {"label": "Table 2", "caption": "The expression of ten candidate miRNAs in TNBC tissue between the TCGA_TNBC and GEOD-40525 datasets.", "rows": [["Data sets", "TCGA_TNBC", "GEOD_40525"], ["microRNA", "Chromosome", "Log2 fold change", "p-value", "FDR", "Log2 fold change", "p-value", "FDR"], ["Downregulated"], ["hsa-miR-139-5p", "11q13.4", "-2.895735451", "8.33E-33", "9.08E-31", "-2.662765892", "3.76E-04", "1.60E-02"], ["hsa-miR-10b-5p", "2q31.1", 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