Abstract 4263
Background
The complexity of breast cancer (BC) at the clinical, morphological and molecular level has been well demonstrated. Molecular profiling, which reveals the intrinsic biology among subtypes, has significantly advanced the management of this disease. However, previous studies have provided very limited molecular data on Chinese BC patients.
Methods
We performed capture-based targeted sequencing on plasma samples using a panel consisting of 102 BC related genes, spanning 249 kb of human genome, to interrogate the genomic landscape of 236 female Chinese BC patients and compared our results to the TCGA data set. Only genes covered by the panel and occurring in more than 10% patients from at least one subgroup were compared and contrasted between the two cohorts. The Chinese and the TCGA cohort had a median age of 48 and 58, respectively.
Results
Our cohort consisted of 55% triple negative breast cancer (TNBC), 10% luminal A, 27% luminal B and 8% HER2 positive BC. 53% of patients were post-menopausal. 190 patients had mutations found from this panel, resulting in a positive detection rate of 81%. Of the 46 patients with no mutation detected from this panel, 24 had TNBC. Collectively, we identified 921 mutations spanning 89 genes. First, we compared and contrasted mutation spectrum among the 4 subtypes. TP53mutations were more commonly seen in TNBC patients (p < 0.01), whereas FGF3, FGF4, FGF19and CCND1amplification were more likely to occur in patients with Lumina A or Luminal B BC (p = 0.002). Next, we compared the mutation spectrum of our cohort to TCGA dataset, and for luminal B breast cancer and TNBC, Chinese patients had significantly more PI3KCA mutation found. Furthermore, Chinese luminal A (p < 0.01) and luminal B (p < 0.01) patients had significantly higher TP53mutation frequency and Chinese HER2 positive BC patients (p < 0.01) had significantly lower TP53mutation frequency than TCGA dataset. In addition, we also identified 10 pathogenic or likely pathogenic BRCA1/2 mutations from this cohort, resulting in a prevalence rate of 4.2%.
Conclusions
We identified distinctive genomic patterns associated with Chinese breast cancer patients compared to TCGA data, suggesting the importance of mutation-based stratification according to ethnic status.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1058 - Assessment of CPS+EG, Neo-Bioscore and modified Neo-Bioscore in breast cancer patients treated with preoperative systemic therapy: a multicenter cohort study
Presenter: LING XU
Session: Poster Display session 2
Resources:
Abstract
1156 - The concordance of treatment decision guided by Oncotype and the PREDICT tool in early stage breast cancer
Presenter: Hadar Goldvaser
Session: Poster Display session 2
Resources:
Abstract
3447 - Influence of first treatment delay on survival among breast cancer subtypes
Presenter: Irene Zarcos Pedrinaci
Session: Poster Display session 2
Resources:
Abstract
3505 - Clinical features of early-stage (I-III) triple-negative breast cancer (TNBC) patients with tumors exhibiting low-overall change in molecular profile after neoadjuvant therapy.
Presenter: Nour Abuhadra
Session: Poster Display session 2
Resources:
Abstract
5442 - Meta-analysis in HER2+ early breast cancer therapies and cost-effectiveness in a Brazilian perspective
Presenter: Marcos Magalhaes
Session: Poster Display session 2
Resources:
Abstract
1570 - Anti-mullerian hormone (AMH) levels and antral follicle counts (AFC) may predict ovarian reserves before systemic chemotherapy (SC) in women with breast cancer(BC); a prospective clinical study
Presenter: Cetin Ordu
Session: Poster Display session 2
Resources:
Abstract
2698 - Prognosis of selected triple negative apocrine breast cancer patients who did not receive adjuvant chemotherapy.
Presenter: Giuseppe Cancello
Session: Poster Display session 2
Resources:
Abstract
3104 - Novel Blood Based Circulating Tumor Cell Biomarker For Breast Cancer Detection
Presenter: Chun-Yu Liu
Session: Poster Display session 2
Resources:
Abstract
4631 - Multi-Gene Prognostic Signatures and Prediction of Pathological Complete Response of ER-Positive HER2-Negative Breast Cancer Patients to Neo-Adjuvant Chemotherapy
Presenter: Claudia Mazo
Session: Poster Display session 2
Resources:
Abstract
4632 - Impact of menopause status on breast cancer outcomes and amenorrhea incidence during adjuvant tailored dose dense chemotherapy
Presenter: Andri Papakonstantinou
Session: Poster Display session 2
Resources:
Abstract