A 14-gene B-cell immune signature in early-stage triple-negative breast cancer (TNBC): a pooled analysis of seven studies.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38447275", "kind": "science-record", "revision": 2, "content_hash": "sha256:fbf8fd3ccc53fc6256414bc730adef66961a5d379951c1562465a9af7e775756", "created_at": "2026-11-01T19:20:23Z", "updated_at": "2026-11-01T21:32:38Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A 14-gene B-cell immune signature in early-stage triple-negative breast cancer (TNBC): a pooled analysis of seven studies.", "doi": "10.1016/j.ebiom.2024.105043", "pmid": "38447275", "authors": ["Benedetta Conte", "Fara Brasó-Maristany", "Adela Rodríguez Hernández", "Tomás Pascual", "Guillermo Villacampa", "Francesco Schettini", "Maria J Vidal Losada", "Elia Seguí", "Laura Angelats", "Isabel Garcia-Fructuoso", "Raquel Gómez-Bravo", "Natàlia Lorman-Carbó", "Laia Paré", "Mercedes Marín-Aguilera", "Olga Martínez-Sáez", "Barbara Adamo", "Esther Sanfeliu", "Beatrice Fratini", "Claudette Falato", "Núria Chic", "Ana Vivancos", "Patricia Villagrasa", "Johan Staaf", "Joel S Parker", "Charles M Perou", "Aleix Prat"], "journal": "EBioMedicine", "year": 2024, "abstract": "BACKGROUND: Early-stage triple-negative breast cancer (TNBC) displays clinical and biological diversity. From a biological standpoint, immune infiltration plays a crucial role in TNBC prognosis. Currently, there is a lack of genomic tools aiding in treatment decisions for TNBC. This study aims to assess the effectiveness of a B-cell/immunoglobulin signature (IGG) alone, or in combination with tumor burden, in predicting prognosis and treatment response in patients with TNBC.\nMETHODS: Genomic and clinical data were retrieved from 7 cohorts: SCAN-B (N = 874), BrighTNess (n = 482), CALGB-40603 (n = 389), METABRIC (n = 267), TCGA (n = 118), GSE58812 (n = 107), GSE21653 (n = 67). IGG and a risk score integrating IGG with tumor/nodal staging (IGG-Clin) were assessed for event-free survival (EFS) and overall survival (OS) in each cohort. Random effects model was used to derive pooled effect sizes. Association of IGG with pathological complete response (pCR) was assessed in CALGB-40603 and BrighTNess. Immune significance of IGG was estimated through CIBERSORTx and EcoTyper.\nFINDINGS: IGG was associated with improved EFS (pooled HR = 0.77, [95% CI = 0.70-0.85], I2 = 18%) and OS (pooled HR = 0.79, [0.73-0.85], I2 = 0%) across cohorts, and was predictive of pCR in CALGB-40603 (OR 1.25, [1.10-1.50]) and BrighTNess (OR 1.57 [1.25-1.98]). IGG-Clin was predictive of recurrence (pooled HR = 2.11, [1.75-2.55], I2 = 0%) and death (pooled HR = 1.99, 95% [0.84-4.73], I2 = 79%) across cohorts. IGG was associated with adaptive immune response at CIBERSORTx and EcoTyper analysis.\nINTERPRETATION: IGG is linked to improved prognosis and pCR in early-stage TNBC. The integration of IGG alongside tumor and nodal staging holds promise as an approach to identify patients benefitting from intensified or de-intensified treatments.\nFUNDING: This study received funding from: Associació Beca Marta Santamaria, European Union's Horizon 2020 research and innovation and Marie Skłodowska-Curie Actions programs, Fundación FERO, Fundación CRIS contra el cáncer, Agència de Gestó d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III, Fundación Contigo, Asociación Cáncer de Mama Metastásico IV, Breast Cancer Research Foundation, RESCUER, Fundación científica AECC and FSEOM.", "claims": [{"id": "claim-data-access", "statement": "All genomic and clinical data used in this paper can be retrieved from public repositories. The Cancer Genome Atlas (TCGA) and METABRIC data were retrieved from the cBio Cancer Genomics Portal (http://cbioportal.org). Data from the last updated version of the SCAN-B dataset was retrieved from Mendeley Data (https://data.mendeley.com/datasets/yzxtxn4nmd). Data from GSE21653, GSE58812 and BrighTNess (accession number GSE164458) were retrieved from the NCBI Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov). Data from CALGB-40603 were obtained from the dbGap repository.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38447275", "locator": "sections[24] \"Data sharing statement\" paragraph 2", "quote": "All genomic and clinical data used in this paper can be retrieved from public repositories. The Cancer Genome Atlas (TCGA) and METABRIC data were retrieved from the cBio Cancer Genomics Portal (http://cbioportal.org). Data from the last updated version of the SCAN-B dataset was retrieved from Mendeley Data (https://data.mendeley.com/datasets/yzxtxn4nmd). Data from GSE21653, GSE58812 and BrighTNess (accession number GSE164458) were retrieved from the NCBI Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov). Data from CALGB-40603 were obtained from the dbGap repository."}], "state": "complete"}, {"id": "claim-target-result", "statement": "IGG is linked to improved prognosis and pCR in early-stage TNBC.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38447275", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "IGG is linked to improved prognosis and pCR in early-stage TNBC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "IGG is linked to improved prognosis and pCR in early-stage TNBC.", "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:38447275"], "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 Cancer Genome Atlas (TCGA) and METABRIC data were retrieved from the cBio Cancer Genomics Portal (http://cbioportal.org). Data from the last updated version of the SCAN-B dataset was retrieved from Mendeley Data (https://data.mendeley.com/datasets/yzxtxn4nmd). Data from GSE21653, GSE58812 and BrighTNess (accession number GSE164458) were retrieved from the NCBI Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov). Data from CALGB-40603 were obtained from the dbGap repository.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All genomic and clinical data used in this paper can be retrieved from public repositories. The Cancer Genome Atlas (TCGA) and METABRIC data were retrieved from the cBio Cancer Genomics Portal (http://cbioportal.org). Data from the last updated version of the SCAN-B dataset was retrieved from Mendeley Data (https://data.mendeley.com/datasets/yzxtxn4nmd). Data from GSE21653, GSE58812 and BrighTNess (accession number GSE164458) were retrieved from the NCBI Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov). 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Data from GSE21653, GSE58812 and BrighTNess (accession number GSE164458) were retrieved from the NCBI Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov). 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