Abstract 4631
Background
Determining which early stage breast cancer patients should receive chemotherapy is an important clinical and economic issue. Chemotherapy has many adverse side effects, impacting on quality of life, along with significant economic consequences. Biomarkers that can predict patient response to chemotherapy can help avoid ineffective overtreatment. The aim of this work is to assess if the OncoMasTR (OM) signature can predict pathological complete response (pCR) to neo-adjuvant chemotherapy, and to compare its predictive value with EndoPredict (EP) and Oncotype DX (RS).
Methods
Gene expression datasets derived from breast cancer patients that had pre-treatment biopsies, received neo-adjuvant chemotherapy and an assessment of pCR were obtained from GEO (GSE16716, GSE20271, GSE25066, GSE32646, GSE34138, GSE41998, GSE22226). Patients with ER-positive, HER2-negative disease and pCR data were selected. OM, EP and RS numeric risk scores were approximated by applying the gene coefficients to the corresponding mean probe expression values. Association with pCR was estimated using logistic regression.
Results
A total of 813 patients with 66 pCR events were included in the analysis. OM, EP and RS prognostic scores were moderately well correlated according to the Pearson’s correlation coefficient: OM vs EP (min=0.44; mean=0.67; max=0.81), OM vs RS (min=0.34; mean=0.62; max=0.79), and RS vs EP (min=0.55; mean=0.79; max=0.89). Significant predictors of pCR with p-values of 0.0001 for all three signatures. Odds ratios for a 1 standard deviation increase in risk score, adjusted for cohort, were similar in magnitude and not significantly different: OM 1.66 (1.29 to 2.16), EP 1.76 (1.37 to 2.27), RS 1.84 (1.44 to 2.35).
Conclusions
In this in silico analysis, OM, EP and RS prognostic scores were significantly predictive of pCR to neo-adjuvant chemotherapy in ER-positive, HER2-negative breast cancer. Optimal stratification for neo-adjuvant chemotherapy offers the opportunity for personalised care, improved therapy response rates, and reduced ineffective treatment and costs.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
University College Dublin.
Funding
The EI and from the European Union’s Horizon 2020 research and innovation programme under the Marie Slodowska-Curie grant agreement No. 713654.
Disclosure
The author has declared no conflicts of interest.
Resources from the same session
2840 - Effects of Aerobic and Resistance Exercise on Android:Gynoid Fat Ratio in Breast Cancer Survivors
Presenter: Christina Dieli-Conwright
Session: Poster Display session 2
Resources:
Abstract
869 - Impact of Education for Breast self examination in Rural Indian Women on Early Detection - results of POC study
Presenter: Sneha Parchuri
Session: Poster Display session 2
Resources:
Abstract
1951 - Breast cancer incidence and survival in renal transplant patients: 35-year experience
Presenter: Michalis Kontos
Session: Poster Display session 2
Resources:
Abstract
2017 - The changing landscape of breast cancer incidence after treatment for Hodgkin’s disease
Presenter: Amelia Benjamin
Session: Poster Display session 2
Resources:
Abstract
1780 - Number of deliveries as a prognostic factor in different breast cancer subtypes
Presenter: Anniina Jääskeläinen
Session: Poster Display session 2
Resources:
Abstract
4650 - Effects of supervised and adapted exercise program in the quality of life and strength of breast cancer survivors: MAMA MOVE Gaia trial
Presenter: Ana Joaquim
Session: Poster Display session 2
Resources:
Abstract
4962 - Study On the Socioeconomic and Clinical Factors Affecting the Proportion of Breast Conserving Surgery in Chinese Women Breast Cancer
Presenter: Jin Zhang
Session: Poster Display session 2
Resources:
Abstract
5451 - Clinical decision making and multidisciplinary team meetings (MDMs) in early breast cancer. Is the agreement between planned and applied therapeutic program?
Presenter: Marco Giavarra
Session: Poster Display session 2
Resources:
Abstract
888 - The value of genetic counselling in breast cancer genetic testing and clinical management
Presenter: Vicki Kiesel
Session: Poster Display session 2
Resources:
Abstract
4005 - Elderly patients in the Japanese Breast Cancer Registry
Presenter: Masataka Sawaki
Session: Poster Display session 2
Resources:
Abstract