Multiple Bayesian network meta-analyses to establish therapeutic algorithms for metastatic triple negative breast cancer

dc.contributor
Institut Català de la Salut
dc.contributor
[Schettini F] Translational Genomics and Targeted Therapies in Solid Tumors, Barcelona, Spain. Department of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain. Department of Medicine, University of Barcelona, Barcelona, Spain. [Venturini S] Department of Economic and Social Sciences, Catholic University of Sacred Heart - Cremona Campus, Cremona, Italy. [Giuliano M] Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy. [Lambertini M] Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genova, Genova, Italy. Department of Medical Oncology, U.O.C Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy. [Pinato DJ] Division of Cancer, Department of Surgery and Cancer, Imperial College London, SW7 2AZ London, UK. Department of Translational Medicine, Università del Piemonte Orientale “A. Avogadro”, Novara, Italy. [Onesti CE] Clinical and Oncological Research Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy. [Cortes J] International Breast Cancer Center (IBCC), Quironsalud Group, Barcelona, Spain. Medica Scientia Innovation Research (MedSIR), Barcelona, Spain. Medica Scientia Innovation Research (MedSIR), Ridgewood, NJ, USA. Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Universidad Europea de Madrid, Faculty of Biomedical and Health Sciences, Department of Medicine, Madrid, Spain
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Schettini, Francesco
dc.contributor.author
Venturini, Sergio
dc.contributor.author
Giuliano, Mario
dc.contributor.author
Pinato, David J.
dc.contributor.author
Onesti, Concetta Elisa
dc.contributor.author
Cortés Castan, Javier
dc.contributor.author
Lambertini, Matteo
dc.date.accessioned
2025-10-25T05:39:38Z
dc.date.available
2025-10-25T05:39:38Z
dc.date.issued
2023-04-18T12:26:37Z
dc.date.issued
2023-04-18T12:26:37Z
dc.date.issued
2022-12
dc.identifier
Schettini F, Venturini S, Giuliano M, Lambertini M, Pinato DJ, Onesti CE, et al. Multiple Bayesian network meta-analyses to establish therapeutic algorithms for metastatic triple negative breast cancer. Cancer Treat Rev. 2022 Dec;111:102468.
dc.identifier
0305-7372
dc.identifier
https://hdl.handle.net/11351/9363
dc.identifier
10.1016/j.ctrv.2022.102468
dc.identifier
36202026
dc.identifier
000878610600002
dc.identifier.uri
http://hdl.handle.net/11351/9363
dc.description.abstract
Immunotherapy; PARP inhibitors; Pembrolizumab
dc.description.abstract
Immunoteràpia; Inhibidors de PARP; Pembrolizumab
dc.description.abstract
Inmunoterapia; Inhibidores de PARP; Pembrolizumab
dc.description.abstract
Metastatic triple-negative breast cancer (mTNBC) is a poor prognostic disease with limited treatments and uncertain therapeutic algorithms. We performed a systematic review and multiple Bayesian network meta-analyses according to treatment line to establish an optimal therapeutic sequencing strategy for this lethal disease. We included 125 first-line trials (37,812 patients) and 33 s/further-lines trials (11,321 patients). The primary endpoint was progression-free survival (PFS). Secondary endpoints included overall response rates (ORR), overall survival (OS) and safety, for first and further lines, separately. We also estimated separate treatment rankings for the first and subsequent lines according to each endpoint, based on (surface under the cumulative ranking curve) SUCRA values. No first-line treatment was associated with superior PFS and OS than paclitaxel ± bevacizumab. Platinum-based polychemotherapies were generally superior in terms of ORR, at the cost of higher toxicity.. PARP-inhibitors in germline-BRCA1/2-mutant patients, and immunotherapy + chemotherapy in PD-L1-positive mTNBC, performed similar to paclitaxel ± bevacizumab. In PD-L1-positive mTNBC, pembrolizumab + chemotherapy was better than atezolizumab + nab-paclitaxel in terms of OS according to SUCRA values. In second/further-lines, sacituzumab govitecan outperformed all other treatments on all endpoints, followed by PARP-inhibitors in germline-BRCA1/2-mutant tumors. Trastuzumab deruxtecan in HER2-low mTNBC performed similarly and was the best advanced-line treatment in terms of PFS and OS after sacituzumab govitecan, according to SUCRA values. Moreover, comparisons with sacituzumab govitecan, talazoparib and olaparib were not statistically significant. The most effective alternatives or candidates for subsequent lines were represented by nab-paclitaxel (in ORR), capecitabine (in PFS) and eribulin (in PFS and OS).
dc.format
application/pdf
dc.language
eng
dc.publisher
Elsevier
dc.relation
Cancer Treatment Reviews;111
dc.relation
https://doi.org/10.1016/j.ctrv.2022.102468
dc.rights
Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Scientia
dc.subject
Mama - Càncer - Tractament
dc.subject
Medicaments antineoplàstics - Ús terapèutic
dc.subject
DISEASES::Neoplasms::Neoplasms by Site::Breast Neoplasms::Triple Negative Breast Neoplasms
dc.subject
Other subheadings::Other subheadings::Other subheadings::/drug therapy
dc.subject
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Therapeutics::Therapeutics::Drug Therapy::Antineoplastic Protocols::Therapeutics::Drug Therapy::Antineoplastic Combined Chemotherapy Protocols
dc.subject
ENFERMEDADES::neoplasias::neoplasias por localización::neoplasias de la mama::neoplasias de mama triple negativos
dc.subject
Otros calificadores::Otros calificadores::Otros calificadores::/farmacoterapia
dc.subject
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::terapéutica::terapéutica::farmacoterapia::protocolos antineoplásicos::terapéutica::farmacoterapia::protocolos de quimioterapia antineoplásica combinada
dc.title
Multiple Bayesian network meta-analyses to establish therapeutic algorithms for metastatic triple negative breast cancer
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


Ficheros en el ítem

FicherosTamañoFormatoVer

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)