Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classification

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Purpose: Triple-negative breast cancer (TNBC) requires the iden- tification of reliable predictors of response to neoadjuvant chemotherapy (NACT). For this purpose, we aimed to evaluate the performance of the TNBCtype-4 classifier in a cohort of patients with TNBC treated with neoadjuvant carboplati...

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Autores: Echavarria, I, López-Tarruella, S, Picornell, A, García-Saenz, JÁ, Jerez, Y, Hoadley, K, Gomez, HL, Moreno, F, Monte-Millan, MD, Márquez-Rodas, I, Alvarez, E, Ramos-Medina, R, Gayarre, J, Massarrah, T, Ocaña, I, Cebollero, M, Fuentes, H, Barnadas, A, Ballesteros, AI, Bohn, U, Perou, CM, Martin, M
Formato: artículo
Fecha de Publicación:2018
Institución:Instituto Nacional de Enfermedades Neoplásicas
Repositorio:INEN-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.inen.sld.pe:inen/133
Enlace del recurso:https://repositorio.inen.sld.pe/handle/inen/133
Nivel de acceso:acceso abierto
Materia:https://purl.org/pe-repo/ocde/ford#3.02.21
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spelling Echavarria, ILópez-Tarruella, SPicornell, AGarcía-Saenz, JÁJerez, YHoadley, KGomez, HLMoreno, FMonte-Millan, MDMárquez-Rodas, IAlvarez, ERamos-Medina, RGayarre, JMassarrah, TOcaña, ICebollero, MFuentes, HBarnadas, ABallesteros, AIBohn, UPerou, CMMartin, M2024-07-01T16:28:55Z2024-07-01T16:28:55Z2018Purpose: Triple-negative breast cancer (TNBC) requires the iden- tification of reliable predictors of response to neoadjuvant chemotherapy (NACT). For this purpose, we aimed to evaluate the performance of the TNBCtype-4 classifier in a cohort of patients with TNBC treated with neoadjuvant carboplatin and docetaxel (TCb).Methods: Patients with TNBC were accrued in a nonrandomized trial of neoadjuvant carboplatin AUC 6 and docetaxel 75 mg/m2 for six cycles. Response was evaluated in terms of pathologic complete response (pCR, ypT0/is ypN0) and residual cancer burden by Symmans and colleagues. Lehmann's subtyping was performed using the TNBCtype online tool from RNAseq data, and germline sequencing of a panel of seven DNA damage repair genes was conducted.Results: Ninety-four out of the 121 patients enrolled in the trial had RNAseq available. The overall pCR rate was 44.7%. Lehmann subtype distribution was 34.0% BL1, 20.2% BL2, 23.4% M, 14.9% LAR, and 7.4% were classified as ER+. Response to NACT with TCb was significantly associated with Lehmann subtype (P = 0.027), even in multivariate analysis including tumor size and nodal involvement, with BL1 patients achieving the highest pCR rate (65.6%), followed by BL2 (47.4%), M (36.4%), and LAR (21.4%). BL1 was associated with a significant younger age at diagnosis and higher ki67 values. Among our 10 germline mutation carriers, 30% were BL1, 40% were BL2, and 30% were M.Conclusions: TNBCtype-4 is associated with significantly different pCR rates for the different subtypes, with BL1 and LAR displaying the best and worse responses to NACT, respectively. Clin Cancer Res; 24(8); 1845-52. ©2018 AACR.application/pdf10.1158/1078-0432.CCR-17-1912https://repositorio.inen.sld.pe/handle/inen/133engClin Cancer ResUSAmerican Association for Cancer Research Inc.info:eu-repo/semantics/openAccessdc.rights.uri: https//creativecomons.org/licenses/by/4.0/https://purl.org/pe-repo/ocde/ford#3.02.21Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classificationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:INEN-Institucionalinstname:Instituto Nacional de Enfermedades Neoplásicasinstacron:INENPublicationORIGINALEchavarria 2018.pdfapplication/pdf359853https://repositorio.inen.sld.pe/bitstreams/fa25173e-ea03-47f8-8e2f-503da9ec8e72/downloadf340f3e78667ad26e1e5a71752ad9e04MD51TEXTEchavarria 2018.pdf.txtEchavarria 2018.pdf.txtExtracted texttext/plain48454https://repositorio.inen.sld.pe/bitstreams/a6c2ee5f-7430-4dbd-a74a-8e723d135880/download31a9eb543101f8d4f4e91649a42f87ffMD52THUMBNAILEchavarria 2018.pdf.jpgEchavarria 2018.pdf.jpgGenerated Thumbnailimage/jpeg5740https://repositorio.inen.sld.pe/bitstreams/426d21c9-88a1-4ffd-ba0c-2128de32ecf4/downloadd3319e1f16add17698a56b0a4da26e08MD53inen/133oai:repositorio.inen.sld.pe:inen/1332024-10-23 18:04:48.205dc.rights.uri: https//creativecomons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttps://repositorio.inen.sld.peRepositorio INENrepositorioinendspace@gmail.com
dc.title.none.fl_str_mv Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classification
title Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classification
spellingShingle Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classification
Echavarria, I
https://purl.org/pe-repo/ocde/ford#3.02.21
title_short Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classification
title_full Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classification
title_fullStr Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classification
title_full_unstemmed Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classification
title_sort Pathological Response in a Triple-Negative Breast Cancer Cohort Treated with Neoadjuvant Carboplatin and Docetaxel According to Lehmann's Refined Classification
author Echavarria, I
author_facet Echavarria, I
López-Tarruella, S
Picornell, A
García-Saenz, JÁ
Jerez, Y
Hoadley, K
Gomez, HL
Moreno, F
Monte-Millan, MD
Márquez-Rodas, I
Alvarez, E
Ramos-Medina, R
Gayarre, J
Massarrah, T
Ocaña, I
Cebollero, M
Fuentes, H
Barnadas, A
Ballesteros, AI
Bohn, U
Perou, CM
Martin, M
author_role author
author2 López-Tarruella, S
Picornell, A
García-Saenz, JÁ
Jerez, Y
Hoadley, K
Gomez, HL
Moreno, F
Monte-Millan, MD
Márquez-Rodas, I
Alvarez, E
Ramos-Medina, R
Gayarre, J
Massarrah, T
Ocaña, I
Cebollero, M
Fuentes, H
Barnadas, A
Ballesteros, AI
Bohn, U
Perou, CM
Martin, M
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Echavarria, I
López-Tarruella, S
Picornell, A
García-Saenz, JÁ
Jerez, Y
Hoadley, K
Gomez, HL
Moreno, F
Monte-Millan, MD
Márquez-Rodas, I
Alvarez, E
Ramos-Medina, R
Gayarre, J
Massarrah, T
Ocaña, I
Cebollero, M
Fuentes, H
Barnadas, A
Ballesteros, AI
Bohn, U
Perou, CM
Martin, M
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.02.21
topic https://purl.org/pe-repo/ocde/ford#3.02.21
description Purpose: Triple-negative breast cancer (TNBC) requires the iden- tification of reliable predictors of response to neoadjuvant chemotherapy (NACT). For this purpose, we aimed to evaluate the performance of the TNBCtype-4 classifier in a cohort of patients with TNBC treated with neoadjuvant carboplatin and docetaxel (TCb).Methods: Patients with TNBC were accrued in a nonrandomized trial of neoadjuvant carboplatin AUC 6 and docetaxel 75 mg/m2 for six cycles. Response was evaluated in terms of pathologic complete response (pCR, ypT0/is ypN0) and residual cancer burden by Symmans and colleagues. Lehmann's subtyping was performed using the TNBCtype online tool from RNAseq data, and germline sequencing of a panel of seven DNA damage repair genes was conducted.Results: Ninety-four out of the 121 patients enrolled in the trial had RNAseq available. The overall pCR rate was 44.7%. Lehmann subtype distribution was 34.0% BL1, 20.2% BL2, 23.4% M, 14.9% LAR, and 7.4% were classified as ER+. Response to NACT with TCb was significantly associated with Lehmann subtype (P = 0.027), even in multivariate analysis including tumor size and nodal involvement, with BL1 patients achieving the highest pCR rate (65.6%), followed by BL2 (47.4%), M (36.4%), and LAR (21.4%). BL1 was associated with a significant younger age at diagnosis and higher ki67 values. Among our 10 germline mutation carriers, 30% were BL1, 40% were BL2, and 30% were M.Conclusions: TNBCtype-4 is associated with significantly different pCR rates for the different subtypes, with BL1 and LAR displaying the best and worse responses to NACT, respectively. Clin Cancer Res; 24(8); 1845-52. ©2018 AACR.
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2024-07-01T16:28:55Z
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