M V Dieci1, A Prat2, E Tagliafico3, L Paré4, G Ficarra5, G Bisagni6, F Piacentini7, D G Generali8, P Conte9, V Guarneri9. 1. Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua Division of Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy mariavittoria.dieci@unipd.it. 2. Translational Genomics Group, Vall d'Hebron Institute of Oncology, Barcelona Translational Genomic and Targeted Therapeutics in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona Department of Medical Oncology, Hospital Clínic of Barcelona, Barcelona, Spain. 3. Center for Genome Research, University of Modena and Reggio Emilia, Modena. 4. Translational Genomic and Targeted Therapeutics in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona. 5. Division of Pathology, Modena University Hospital, Modena. 6. Department of Medical Oncology, Azienda Ospedaliera ASMN, IRCCS, Reggio Emilia. 7. Department of Medical and Surgical Sciences of Mother, Child and Adult, University of Modena and Reggio Emilia, Modena. 8. U.O. Multidisciplinare di Patologia Mammaria, AO. Istituti Ospitalieri di Cremona, Cremona, Italy. 9. Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua Division of Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.
Abstract
BACKGROUND: The aim of this work was to evaluate the impact of (and relative contribution of) tumor-related and immune-related diversity of HER2-positive disease on the response to neoadjuvant chemotherapy plus anti-HER2 agents. PATIENTS AND METHODS: The CherLOB phase II study randomized 121 HER2-positive breast cancer patients toneoadjuvant chemotherapy plus trastuzumab, lapatinib or both. Tumor samples from diagnostic core biopsy were centralized. Tumor-infiltrating lymphocytes (TILs) were evaluated on H&E slides. Intrinsic subtyping was carried out using the research-based 50-gene prediction analysis of a microarray (PAM50) subtype predictor. Immune-related gene signatures were also evaluated. RESULTS: Continuous Str-TILs and It-TILs were significantly associated with pCR [OR 1.03, 95% CI 1.02-1.05 (P < 0.001) and OR 1.09, 95% CI 1.04-1.15 (P < 0.001) for Str-TILs and It-TILs, respectively]. According to PAM50, the subtype distribution was as follows: HER2-enriched 26.7%, Luminal A 25.6%, Luminal B 16.3%, Basal-like 14% and Normal-like 17.4%. The highest rate of pCR was observed for the HER2-enriched subtype (50%), followed by Basal-like, Luminal B and Luminal A (χ(2) test, P = 0.026). Immune gene signatures significantly associated with pCR in univariate analyses were identified: most of them maintained a significant association with pCR in multivariate analyses corrected for PAM50 subtypes, whereas TILs did not. CONCLUSIONS: In this study, both tumor-related and immune-related features contribute to the modulation of pCR after neoadjuvant chemotherapy plus anti-HER2 agents. Immune signatures rather than TILs added significant prediction of pCR beyond PAM50 intrinsic subtypes.
RCT Entities:
BACKGROUND: The aim of this work was to evaluate the impact of (and relative contribution of) tumor-related and immune-related diversity of HER2-positive disease on the response to neoadjuvant chemotherapy plus anti-HER2 agents. PATIENTS AND METHODS: The CherLOB phase II study randomized 121 HER2-positive breast cancerpatients to neoadjuvant chemotherapy plus trastuzumab, lapatinib or both. Tumor samples from diagnostic core biopsy were centralized. Tumor-infiltrating lymphocytes (TILs) were evaluated on H&E slides. Intrinsic subtyping was carried out using the research-based 50-gene prediction analysis of a microarray (PAM50) subtype predictor. Immune-related gene signatures were also evaluated. RESULTS: Continuous Str-TILs and It-TILs were significantly associated with pCR [OR 1.03, 95% CI 1.02-1.05 (P < 0.001) and OR 1.09, 95% CI 1.04-1.15 (P < 0.001) for Str-TILs and It-TILs, respectively]. According to PAM50, the subtype distribution was as follows: HER2-enriched 26.7%, Luminal A 25.6%, Luminal B 16.3%, Basal-like 14% and Normal-like 17.4%. The highest rate of pCR was observed for the HER2-enriched subtype (50%), followed by Basal-like, Luminal B and Luminal A (χ(2) test, P = 0.026). Immune gene signatures significantly associated with pCR in univariate analyses were identified: most of them maintained a significant association with pCR in multivariate analyses corrected for PAM50 subtypes, whereas TILs did not. CONCLUSIONS: In this study, both tumor-related and immune-related features contribute to the modulation of pCR after neoadjuvant chemotherapy plus anti-HER2 agents. Immune signatures rather than TILs added significant prediction of pCR beyond PAM50 intrinsic subtypes.
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