Early on-treatment transcriptional profiling as a tool for improving pathological response prediction in HER2-positive inflammatory breast cancer.

HER2-positive Inflammatory breast cancer gene expression immune response on-treatment biopsy treatment de-escalation

Journal

Therapeutic advances in medical oncology
ISSN: 1758-8340
Titre abrégé: Ther Adv Med Oncol
Pays: England
ID NLM: 101510808

Informations de publication

Date de publication:
2022
Historique:
received: 01 04 2022
accepted: 27 06 2022
entrez: 4 8 2022
pubmed: 5 8 2022
medline: 5 8 2022
Statut: epublish

Résumé

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. 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. 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). 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. ClinicalTrials.gov identifier: NCT01796197 (https://clinicaltrials.gov/ct2/show/NCT01796197); registered on February 21, 2013.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
ClinicalTrials.gov identifier: NCT01796197 (https://clinicaltrials.gov/ct2/show/NCT01796197); registered on February 21, 2013.

Identifiants

pubmed: 35923923
doi: 10.1177/17588359221113269
pii: 10.1177_17588359221113269
pmc: PMC9340890
doi:

Banques de données

ClinicalTrials.gov
['NCT01796197']

Types de publication

Journal Article

Langues

eng

Pagination

17588359221113269

Subventions

Organisme : NCI NIH HHS
ID : P50 CA168504
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA225088
Pays : United States

Informations de copyright

© The Author(s), 2022.

Déclaration de conflit d'intérêts

Competing Interests: SP has served as an advisor/consultant for AstraZeneca, Daiichi Sankyo Eisai, Novartis, Polyphor, Roche, Pierre-Fabre, and SeattleGenetics. SG has received laboratory research funding from Eli Lilly and performs clinical research sponsored by Novartis and Eli Lilly. SG has served as a paid advisor to Eli Lilly, G1 therapeutics, and Novartis. JLG is a consultant for Glaxo-Smith Kline (GSK), Array BioPharma, Codagenix, Verseau Therapeutics, Kymera, Carisma, Kowa, Duke Street Bio and MPM Capital, and receives sponsored research support from GSK, Eli Lilly and Array BioPharma. NUL reports institutional research funding from Genentech, Merck, Pfizer, Seattle Genetics, AstraZeneca, Zion Pharmaceuticals, and Olema Pharmaceuticals; consultant/advisory board work for Pfizer, Puma, Seattle Genetics, Daiichi Sankyo, AstraZeneca, Prelude Therapeutics, Denali Therapeutics, Olema Pharmaceuticals, Aleta BioPharma, Affinia Therapeutics, Voyager Therapeutics, and Artera, Inc.; royalties from UpToDate; and stock or other ownership interests in Artera Inc. (a startup with no current value, but options only valued at <5% and <$50,000 will be provided at a later date). MR reports research funding (and/or provision of drug supply for clinical trials) from Novartis, Pfizer, Ipsen, TerSera, Merck, Ferring, Pierre Fabre, Roche, AstraZeneca, Bayer, Bristol-Myers Squibb; consulting or advisory role for Ipsen, Bristol-Myers Squibb, Tolmar Pharmaceuticals. BO has received clinical trial support from Genentech, Incyte, and Eisai. AM reports a consulting or advisory role for Lilly and Seagen, in-kind research support from Tempus, and institutional research funding from Eisai, Seagen, MTEM, Lilly, Seagen, Takeda Millennium, and Pfizer. EAM reports compensated service on scientific advisory boards for AstraZeneca, Exact Sciences, Merck, and Roche/Genentech; uncompensated service on steering committees for Bristol Myers Squibb, Lilly, and Roche/Genentech; honoraria from Physicians’ Education Resource; and institutional research support from Roche/Genentech (via SU2C grant) and Gilead. EAM reports the following nonfinancial interests, nonremunerated activities: Board of Directors for the American Society of Clinical Oncology and Scientific Advisor for Susan G. Komen for the Cure Foundation.

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Auteurs

Sonia Pernas (S)

Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.

Jennifer L Guerriero (JL)

Breast Tumor Immunology Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA.

Sergey Naumenko (S)

Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA.

Shom Goel (S)

Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.

Meredith M Regan (MM)

Division of Biostatistics, Dana-Farber Cancer Institute, Boston, MA, USA.

Jiani Hu (J)

Division of Biostatistics, Dana-Farber Cancer Institute, Boston, MA, USA.

Beth T Harrison (BT)

Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.

Filipa Lynce (F)

Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.

Nancy U Lin (NU)

Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.

Ann Partridge (A)

Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.

Aki Morikawa (A)

Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

John Hutchinson (J)

Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA.

Elizabeth A Mittendorf (EA)

Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.

Artem Sokolov (A)

Laboratory of Systems Pharmacology, Harvard Medical School, 200 Longwood Avenue, Armenise Building Rm. 137, Boston, MA 02115, USA.

Beth Overmoyer (B)

Susan F. Smith Center for Women's Cancers, Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA, USA.

Classifications MeSH