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Early on-treatment transcriptional profiling as a tool for improving pathological response prediction in HER2-positive inflammatory breast cancer.
Pernas, Sonia; Guerriero, Jennifer L; Naumenko, Sergey; Goel, Shom; Regan, Meredith M; Hu, Jiani; Harrison, Beth T; Lynce, Filipa; Lin, Nancy U; Partridge, Ann; Morikawa, Aki; Hutchinson, John; Mittendorf, Elizabeth A; Sokolov, Artem; Overmoyer, Beth.
Afiliação
  • Pernas S; Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Guerriero JL; Breast Tumor Immunology Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Naumenko S; Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA.
  • Goel S; Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Regan MM; Division of Biostatistics, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Hu J; Division of Biostatistics, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Harrison BT; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
  • Lynce F; Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Lin NU; Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Partridge A; Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Morikawa A; Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Hutchinson J; Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA.
  • Mittendorf EA; Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Sokolov A; Laboratory of Systems Pharmacology, Harvard Medical School, 200 Longwood Avenue, Armenise Building Rm. 137, Boston, MA 02115, USA.
  • Overmoyer B; Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Ther Adv Med Oncol ; 14: 17588359221113269, 2022.
Article em En | MEDLINE | ID: mdl-35923923
Background: Inflammatory breast cancer (IBC) is a rare and understudied disease, with 40% of cases presenting with human epidermal growth factor receptor 2 (HER2)-positive subtype. The goals of this study were to (i) assess the pathologic complete response (pCR) rate of short-term neoadjuvant dual-HER2-blockade and paclitaxel, (ii) contrast baseline and on-treatment transcriptional profiles of IBC tumor biopsies associated with pCR, and (iii) identify biological pathways that may explain the effect of neoadjuvant therapy on tumor response. Patients and Methods: A single-arm phase II trial of neoadjuvant trastuzumab (H), pertuzumab (P), and paclitaxel for 16 weeks was completed among patients with newly diagnosed HER2-positive IBC. Fresh-frozen tumor biopsies were obtained pretreatment (D1) and 8 days later (D8), following a single dose of HP, prior to adding paclitaxel. We performed RNA-sequencing on D1 and D8 tumor biopsies, identified genes associated with pCR using differential gene expression analysis, identified pathways associated with pCR using gene set enrichment and gene expression deconvolution methods, and compared the pCR predictive value of principal components derived from gene expression profiles by calculating and area under the curve for D1 and D8 subsets. Results: Twenty-three participants were enrolled, of whom 21 completed surgery following neoadjuvant therapy. Paired longitudinal fresh-frozen tumor samples (D1 and D8) were obtained from all patients. Among the 21 patients who underwent surgery, the pCR and the 4-year disease-free survival were 48% (90% CI 0.29-0.67) and 90% (95% CI 66-97%), respectively. The transcriptional profile of D8 biopsies was found to be more predictive of pCR (AUC = 0.91, 95% CI: 0.7993-1) than the D1 biopsies (AUC = 0.79, 95% CI: 0.5905-0.9822). Conclusions: In patients with HER2-positive IBC treated with neoadjuvant HP and paclitaxel for 16 weeks, gene expression patterns of tumor biopsies measured 1 week after treatment initiation not only offered different biological information but importantly served as a better predictor of pCR than baseline transcriptional analysis. Trial Registration: ClinicalTrials.gov identifier: NCT01796197 (https://clinicaltrials.gov/ct2/show/NCT01796197); registered on February 21, 2013.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ther Adv Med Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ther Adv Med Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos