TY - JOUR
T1 - An RB-1 loss of function gene signature as a tool to predict response to neoadjuvant chemotherapy plus anti-HER2 agents
T2 - a substudy of the NeoALTTO trial (BIG 1-06)
AU - Risi, Emanuela
AU - Biagioni, Chiara
AU - Benelli, Matteo
AU - Migliaccio, Ilenia
AU - McCartney, Amelia
AU - Bonechi, Martina
AU - Guarducci, Cristina
AU - Hilbers, Florentine
AU - Di Cosimo, Serena
AU - Huober, Jens
AU - Romagnoli, Dario
AU - Boccalini, Giulia
AU - Vitale, Stefania
AU - Sotiriou, Christos
AU - Biganzoli, Laura
AU - Di Leo, Angelo
AU - Malorni, Luca
N1 - Funding Information:
Supplemental material, suppl_table_1_rev for An RB-1 loss of function gene signature as a tool to predict response to neoadjuvant chemotherapy plus anti-HER2 agents: a substudy of the NeoALTTO trial (BIG 1-06) by Emanuela Risi, Chiara Biagioni, Matteo Benelli, Ilenia Migliaccio, Amelia McCartney, Martina Bonechi, Cristina Guarducci, Florentine Hilbers, Serena Di Cosimo, Jens Huober, Dario Romagnoli, Giulia Boccalini, Stefania Vitale, Christos Sotiriou, Laura Biganzoli, Angelo Di Leo and Luca Malorni in Therapeutic Advances in Medical Oncology Funding We acknowledge the generous support provided by the Sandro Pitigliani Foundation (Prato, Italy), the Breast Cancer Research Foundation (BCRF) (New York, USA) (to ADL), the Associazione Italiana per la Ricerca sul Cancro (AIRC) (Milan, Italy), My First AIRC Grant (MFAG) 18880 (to IM), My First AIRC Grant (MFAG) 14371 (to LM). Conflict of interest statement Hilbers Florentine: research funding: Novartis, Pfizer, Genentech Huober Jens: Honoraria: Roche, Novartis ADBoard: Roche, Novartis Travel support: Roche, Novartis Sotiriou Christos: has patents on gene expression and methylation signatures. He has served on advisory boards, and/or speaker at meetings, and/or recipient of travel support for participation in medical meetings for/from (in alphabetical order) Amgen, Astellas, AstraZeneca, Bayer, Celgene, Nanostring Technologies, Novartis, Pfizer, Roche. Biganzoli Laura: Grant/research support: Celgene, Genomic Health, Novartis Honoraria, consulting or advisory roles: AstraZeneca, Celgene, Eisai, Genomic Health, Ipsen, Lilly, Novartis, Pfizer, Pierre Fabre, Puma Biotechnology, Roche, Takeda Di Leo Angelo: Personal financial interests (Honoraria, consultancy or advisory role): Amgen, Astellas, AstraZeneca, Bayer, Celgene, Daichii-Sankyo, Eisai, Genetech, Genomic Health, Ipsen, Lilly, Novartis, Pfizer, Pierre Fabre, prIME Oncology, Puma Biotechnology, Research To Practice, Roche, Seattle Genetics, Sellas Life Sciences Group, Touch Medical Media, WebMD Global LLC. Institutional financial interests: AstraZeneca, Lilly, Novartis, Roche Nonfinancial interests (leadership roles in any other medical society, research group, foundation etc.): American Society of Clinical Oncology, Breast International Group, Early Breast Cancer Trialists Collaborative Group, European Society for Medical Oncology, International Breast Cancer Study Group Malorni Luca: Consultant: Pfizer, Novartis, AstraZeneca Research grant: Pfizer, Novartis. No potential conflicts of interest were disclosed by the other authors. ORCID iD Risi, Emanuela https://orcid.org/0000-0002-9307-9760 Supplemental material Supplemental material for this article is available online.
Publisher Copyright:
© The Author(s), 2019.
PY - 2019
Y1 - 2019
N2 - Background: Chemotherapy added to anti-HER2 agents (H) is the treatment of choice in patients with HER2+ early breast cancer. However, HER2+ tumours are clinically and biologically heterogeneous, and treatment response varies significantly by hormone receptor (HR) status and molecular subtype. Predictive biomarkers are needed in this context. This study assessed whether an RB-1 loss of function gene signature (RBsig) is predictive of response to neoadjuvant chemotherapy in combination with trastuzumab, lapatinib or both, within the NeoALTTO trial. Methods: We collected RNA-sequencing data from pretreatment biopsies derived from the NeoALTTO trial. RBsig expression was computed retrospectively and correlated with pathological complete response (pCR) using receiver-operating characteristic (ROC) curves. The RBsig was dichotomised as High/Low in correspondence to the 25th percentile. Reported p values resulted from Fisher’s exact test. Results: Of 455 NeoALTTO patients, 244 were eligible for this substudy (HR+ n = 129; HR− n = 115). Overall, pCR rate was significantly higher in patients with RBsig High tumours than those with RBsig Low (35% versus 18% respectively; p = 0.01). The area under the ROC curve (AUC) was 0.60 (95% CI 0.52–0.67). A remarkably low pCR rate of 11% was seen in HR+/RBsig Low patients versus 28% in HR+/RBsig High. Conclusions: These results indicate RBsig may add valuable information to HER2 and HR expression, which may in turn inform treatment choices. HR+/HER2+/RBsig Low breast cancers exhibited the poorest pathological response following chemotherapy plus H. Accordingly, in such patients, endocrine therapy in combination with H and, possibly, a CDK4/6 inhibitor, may potentially prove to be a more effective treatment.
AB - Background: Chemotherapy added to anti-HER2 agents (H) is the treatment of choice in patients with HER2+ early breast cancer. However, HER2+ tumours are clinically and biologically heterogeneous, and treatment response varies significantly by hormone receptor (HR) status and molecular subtype. Predictive biomarkers are needed in this context. This study assessed whether an RB-1 loss of function gene signature (RBsig) is predictive of response to neoadjuvant chemotherapy in combination with trastuzumab, lapatinib or both, within the NeoALTTO trial. Methods: We collected RNA-sequencing data from pretreatment biopsies derived from the NeoALTTO trial. RBsig expression was computed retrospectively and correlated with pathological complete response (pCR) using receiver-operating characteristic (ROC) curves. The RBsig was dichotomised as High/Low in correspondence to the 25th percentile. Reported p values resulted from Fisher’s exact test. Results: Of 455 NeoALTTO patients, 244 were eligible for this substudy (HR+ n = 129; HR− n = 115). Overall, pCR rate was significantly higher in patients with RBsig High tumours than those with RBsig Low (35% versus 18% respectively; p = 0.01). The area under the ROC curve (AUC) was 0.60 (95% CI 0.52–0.67). A remarkably low pCR rate of 11% was seen in HR+/RBsig Low patients versus 28% in HR+/RBsig High. Conclusions: These results indicate RBsig may add valuable information to HER2 and HR expression, which may in turn inform treatment choices. HR+/HER2+/RBsig Low breast cancers exhibited the poorest pathological response following chemotherapy plus H. Accordingly, in such patients, endocrine therapy in combination with H and, possibly, a CDK4/6 inhibitor, may potentially prove to be a more effective treatment.
KW - gene expression profiling
KW - HER2+ breast cancer
KW - neoadjuvant chemotherapy
KW - predictive biomarker
KW - RB pathway
UR - http://www.scopus.com/inward/record.url?scp=85076627598&partnerID=8YFLogxK
U2 - 10.1177/1758835919891608
DO - 10.1177/1758835919891608
M3 - Article
C2 - 31853266
AN - SCOPUS:85076627598
SN - 1758-8340
VL - 11
SP - 1
EP - 12
JO - Therapeutic Advances in Medical Oncology
JF - Therapeutic Advances in Medical Oncology
ER -