Abstract 34P
Background
Residual disease (RD) following neoadjuvant chemotherapy (NAC) poses a significant challenge in the treatment of triple-negative breast cancer (TNBC) due to its association with a worse prognosis. Our study aimed to investigate recurrence-related genes from the NACATRINE study. A phase II study evaluating the addition of carboplatin to standard of care NAC in early TNBC. The primary objective was establishing a genetic signature to predict disease-free survival (DFS) outcomes among TNBC patients with RD after NAC.
Methods
We conducted a differential gene expression analysis comparing patients who experienced recurrence to those who remained recurrence-free. Subsequently, we explored the association of these genes with DFS using a multivariate Cox model. Biopsy tissue samples were analyzed using the nCounter® Breast Cancer™ panel.
Results
We identified 58 genes that were differentially expressed among patients in our study. A total of ten genes (CCND2, GPX3, BNIP3, MYBL2, DLL3, UBE2C, HLA.DMB, TLR4, KAT2B, SLC2A1) exhibited an area under the curve (AUC) ≥ 0.70 when evaluated individually. Univariate Cox regression analysis showed that these genes had p-values <0.05. In the subsequent multivariate Cox model, CCND2, BNIP3, and MYBL2 remained significant, with a determination coefficient 0.70. This genetic signature demonstrated an AUC of 0.89, with a sensitivity of 0.87 and specificity of 0.87 in predicting recurrence.
Conclusions
In conclusion, our analysis identified three genes (CCND2, BNIP3, MYBL2) whose combination forms a predictive signature capable of identifying TNBC patients with RD at risk of relapse after NAC. These findings support the need for prospective clinical validation of this gene signature to refine prognostic strategies and potentially guide personalized treatment decisions in TNBC management.
Editorial acknowledgement
Clinical trial identification
NCT02978495.
Legal entity responsible for the study
The authors.
Funding
Department of Science and Technology-DECIT, Brazilian Ministry of Health (Grant No. 879848/2018).
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
121P - DNA methylation co-operates with genomic alterations during non-small cell lung cancer evolution
Presenter: Nnenna Kanu
Session: Cocktail & Poster Display session
Resources:
Abstract
122P - Comprehensive multi-omics profiling identifies prognostic and predictive subtypes in renal cell carcinoma
Presenter: Sanha Park
Session: Cocktail & Poster Display session
Resources:
Abstract
123P - Copy number from ulcWGS to predict TNBC molecular subtypes in the IBCSG 22-00 trial
Presenter: Andrea Joaquin Garcia
Session: Cocktail & Poster Display session
Resources:
Abstract
124P - Targeting neoantigens in chronic lymphocytic leukemia (CLL) for personalized T cell therapy
Presenter: Gurvinder Kaur
Session: Cocktail & Poster Display session
Resources:
Abstract
125P - Detection and analysis of medulloblastoma subtype-specific copy number variations from RNA-seq data for improved risk-based subtype classification
Presenter: Ivan Martinez de Estibariz Royuela
Session: Cocktail & Poster Display session
Resources:
Abstract
126P - Genomic and transcriptomic profiles define smokers and non-smokers lung squamous cell carcinoma patients
Presenter: Matteo Canale
Session: Cocktail & Poster Display session
Resources:
Abstract
128P - Metastatic migrations in lung cancer: Insights from the PEACE autopsy programme
Presenter: Sonya Hessey
Session: Cocktail & Poster Display session
Resources:
Abstract
129P - NGS prescreening program for refractory solid tumors outside standard indications in a public network of cancer centers
Presenter: Paula Sàbat Viltró
Session: Cocktail & Poster Display session
Resources:
Abstract
130P - Transcriptomic analysis of patients with metastatic hormone-sensitive prostate cancer to identify genomic signatures involved in the transition from androgen-dependent to androgen-independent phenotype
Presenter: Giovanna Pecoraro
Session: Cocktail & Poster Display session
Resources:
Abstract
131P - Benchmarking whole exome sequencing in the German network for personalized medicine
Presenter: Michael Menzel
Session: Cocktail & Poster Display session
Resources:
Abstract