Correlation between mutation landscape and clinical outcomes of neoadjuvant therapy in HER2-positive breast cancer patients.

Authors

null

Ning Liao

Department of Breast Cancer, Cancer Center, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China

Ning Liao , Yulei Wang , Kai Li , Bo Chen , Guo-Chun Zhang , XueRui Li , Liping Guo , Li Cao , Chong-Yang Ren , Ling-Zhu Wen , Minghan Jia , Cheukfai Li , Hsiaopei Mok , Xiaoqing Chen , Guangnan Wei , Jiali Lin , Ting Hou , Han Han-Zhang , Zhou Zhang , Jing Liu

Organizations

Department of Breast Cancer, Cancer Center, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Department of Breast Cancer, Guangzhou, China, Department of Breast Cancer, Cancer Center, Guangdong General Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, P.R. China, Guangzhou, China, University Medical Center Mannheim, University Heidelberg; Department of Breast Cancer, Guangdong General Hospital , Guangzhou, Germany, Guangdong Academy of Medical Sciences and Guangdong General Hospital, Guangzhou, China, Burning Rock Biotech, Guangzhou, China

Research Funding

Other Foundation

Background: The standard management of early stage human epidermal growth factor receptor 2 (HER2) positive (+) breast cancer (BC) involves neoadjuvant therapy with combination of chemotherapy and HER2-targeted therapy followed by surgery. However, diverse pathologic responses were observed. We interrogated whether baseline genomic heterogeneity contributes to the varied therapeutic responses. Methods: Capture-based targeted sequencing using a panel consisting of 520 cancer-related genes, spanning 1.6MB of human genome, was performed on tissue biopsy samples, obtained prior to neoadjuvant therapy, of 33 HER2+ women with stage I-III BC. The median age of the cohort was 53. The correlation between genomic alterations and pathologic response were analyzed by multivariate analysis. Results: A majority of them was diagnosed with stage II (67%, 22/33), while 30% (10/33) had stage III and 3% (1/33) had stage I disease. 58% (19/33) were HR+ and 42% (14/33) were HR-. Mutation profiling of baseline samples revealed 349 mutations spanning 145 genes, with TP53, CDK12 and PIK3CA being the top 3 most frequently mutated genes. Neoadjuvant regimen was comprised of trastuzumab and HER2 inhibitor (i.e. pertuzumab or lapatinib). 15 patients used single HER2 inhibitor;18 used dual HER2 inhibitors. Endocrine therapy was also administered to HR+ patients (19/33) in combination with trastuzumab and HER2 inhibitor. Complete pathologic response (pCR) was observed in 45.5% (15/33) of patients. Interestingly, ROS1 copy number amplifications (CANs) were only identified in patients achieved pCR (p = 0.033). In contrast, missense mutations in PIK3CA and CNAs in CCND1, FGF19, FGF3, FGF4, SPOP, HNF1B and BRIP1 showed a trend of being less likely to mutate in pCR patients (p values between 0.05-0.1). Previous reports have suggested that pCR rates in HER2+ patients are associated with HR status. However, our data revealed comparable pathologic response of patients based on either HR status or neoadjuvant regimen. Conclusions: Our data revealed a distinct mutational profile between patients achieved pCR vs patients did not. Further studies with a larger cohort are required to confirm these findings.

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Abstract Details

Meeting

2019 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 37, 2019 (suppl; abstr 579)

DOI

10.1200/JCO.2019.37.15_suppl.579

Abstract #

579

Poster Bd #

71

Abstract Disclosures