A RB-1 loss of function gene-signature (RBsig) as a tool to predict response to neoadjuvant chemotherapy (CT) plus anti-HER2 agents (H): A substudy of the NeoALTTO trial (BIG 1-06).

Authors

null

Emanuela Risi

Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy

Emanuela Risi , Chiara Biagioni , Matteo Benelli , Ilenia Migliaccio , Amelia McCartney , Martina Bonechi , Cristina Guarducci , Florentine Hilbers , Serena Di Cosimo , Jose Baselga , Dario Romagnoli , Giulia Boccalini , Stefania Vitale , Andrea Grilli , Silvio Bicciato , Christos Sotiriou , Laura Biganzoli , Angelo Di Leo , Luca Malorni

Organizations

Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy, Bioinformatics Unit, Hospital of Prato, Prato, Italy, Sandro Pitigliani Translational Research Unit, Hospital of Prato, Prato, Italy, Breast International Group, Brussels, Belgium, Division of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy, Memorial Sloan Kettering Cancer Center, New York, NY, Bioinformatics Unit, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy, Department of Medical Biotechnologies, University of Siena, Siena, Italy, Center for Genome Research, Department of Life Science, University of Modena and Reggio Emilia, Modena, Italy, Department of Biomedical Science, Centre from Genome Research, Univeristy of Modena and Reggio Emilia, Modena, Italy, Institut Jules Bordet, Brussels, Belgium

Research Funding

Other Foundation

Background: CT added to H is the treatment of choice in HER2+ early breast cancer (BC) patients (pts). However HER2+ tumors 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. We have previously shown that RBsig expression correlates with pathological complete response (pCR) rate following CT +/− H in ER+/HER2+ BC pts within a metadataset of 10 neoadjuvant clinical trials. The present study assessed whether RBsig is predictive of response to neoadjuvant CT in combination with H, within the NeoALTTO trial. Methods: We collected RNA-sequencing data from pre-treatment biopsies derived from NeoALTTO, a trial randomizing pts with HER2+ early BC to receive lapatinib, trastuzumab or both together with weekly paclitaxel. RBsig expression was computed retrospectively and correlated with pCR using receiving-operating characteristic (ROC) curves.The RBsig was dichotomized as High/Low in correspondence to the 25th percentile. The distribution of RBsig expression was evaluated within PAM50 molecular subtypes. Reported p-values resulted from Fisher exact test. Results: Of 455 NeoALTTO pts, 245 had available RNA-sequencing data (HR+ n = 129 HR− n = 116). Overall, pCR rate was significantly higher in pts with RBsig High tumors, than those with RBsig Low (36% vs 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 pts vs 28% in HR+/RBsig High. HER2-enriched (HER2e) tumors were the predominant molecular subtype in both HR+ (n = 65) and HR− (n = 89) subsets. RBsig could further stratify HER2e tumors, with RBsig High and Low showing a pCR rate of 44% and 21% respectively (p = 0.02).The pCR rate of HR+/ HER2e/ RBsig High pts was 37% vs 7% for HR+/ HER2e/ RBsig Low (p = 0.04). The ROC curve AUC was 0.65 (95% CI 0.50-0.79). Conclusions: RBsig Low expression identifies a subset of HER2+ pts less likely to respond to CT + H. This is particularly notable in HER2e tumors thus indicating RBsig may add significant information to molecular subtypes.

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Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Breast Cancer—Local/Regional/Adjuvant

Track

Breast Cancer

Sub Track

Neoadjuvant Therapy

Citation

J Clin Oncol 36, 2018 (suppl; abstr 570)

DOI

10.1200/JCO.2018.36.15_suppl.570

Abstract #

570

Poster Bd #

62

Abstract Disclosures