AcornHRD: an HRD algorithm highly associated with anthracycline-based neoadjuvant chemotherapy in breast cancer in China

• Published in: European journal of medical research Vol. 29; no. 1; pp. 366 - 10
• Main Authors: Pan, Jia-Ni, Li, Pu-Chun, Wang, Meng, Li, Ming-Wei, Ding, Xiao-Wen, Zhou, Tao, Wang, Hui-Na, Wang, Yun-Kai, Chen, Li-Bin, Wang, Rong, Ye, Wei-Wu, Wu, Wei-Zhu, Lou, Feng, Wang, Xiao-Jia, Cao, Wen-Ming
• Format: Journal Article
• Language: English
• Published: London BioMed Central 16.07.2024; BioMed Central Ltd; BMC
• Subjects: Adjuvant treatment; Adult; Aged; Algorithms; Analysis; Anthracyclines; Anthracyclines - administration & dosage; Anthracyclines - therapeutic use; Biomedicine; BRCA1 Protein - genetics; Breast cancer; Breast Neoplasms - drug therapy; Breast Neoplasms - genetics; Cancer; China - epidemiology; DNA Copy Number Variations; Female; Genomes; Genomics; Homologous Recombination; Humans; Infectious Diseases; Internal Medicine; Medicine; Medicine & Public Health; Middle Aged; Mutation; Neoadjuvant Therapy - methods; Oncology; Surgery; China
• ISSN: 2047-783X; 0949-2321; 2047-783X
• DOI: 10.1186/s40001-024-01936-y

Purpose Our study aimed to develop and validate a homologous recombination deficiency (HRD) scoring algorithm in the Chinese breast cancer population. Methods and materials Ninety-six in-house breast cancer (BC) samples and 6 HRD-positive standard cells were analyzed by whole-genome sequencing (WGS). Besides, 122 BCs from the TCGA database were down-sampled to ~ 1X WGS. We constructed an algorithm named AcornHRD for HRD score calculated based on WGS at low coverage as input data to estimate large-scale copy number alteration (LCNA) events on the genome. A clinical cohort of 50 BCs (15 cases carrying BRCA mutation) was used to assess the association between HRD status and anthracyclines-based neoadjuvant treatment outcomes. Results A 100-kb window was defined as the optimal size using 41 in-house cases and the TCGA dataset. HRD score high threshold was determined as HRD score ≥ 10 using 55 in-house BCs with BRCA mutation to achieve a 95% BRCA -positive agreement rate. Furthermore, the HRD status agreement rate of AcornHRD is 100%, while the ShallowHRD is 60% in standard cells. BRCA mutation was significantly associated with a high HRD score evaluated by AcornHRD and ShallowHRD ( p  = 0.008 and p  = 0.003, respectively) in the TCGA dataset. However, AcornHRD showed a higher positive agreement rate than did the ShallowHRD algorithm (70% vs 60%). In addition, the BRCA- positive agreement rate of AcornHRD was superior to that of ShallowHRD (87% vs 13%) in the clinical cohort. Importantly, the high HRD score assessed by AcornHRD was significantly correlated with a residual cancer burden score of 0 or 1 (RCB0/1). Besides, the HRD-positive group was more likely to respond to anthracycline-based chemotherapy than the HRD-negative group (pCR [OR = 9.5, 95% CI 1.11–81.5, p  = 0.040] and RCB0/1 [OR = 10.29, 95% CI 2.02–52.36, p  = 0.005]). Conclusion Using the AcornHRD algorithm evaluation, our analysis demonstrated the high performance of the LCNA genomic signature for HRD detection in breast cancers.