The 70-gene signature test as a prognostic and predictive biomarker in patients with invasive lobular breast cancer

BREAST CANCER RESEARCH AND TREATMENT(2021)

Cited 9|Views13
No score
Abstract
Purpose Genomic expression assays provide prognostic information and guide adjuvant chemotherapy decisions for patients with estrogen receptor (ER)-positive breast cancer. Few studies have evaluated the utility of such assays for invasive lobular carcinoma (ILC). The objective of this study is to evaluate the 70-gene signature test (ST) as a prognostic and predictive tool for ILC using a national cancer database. Methods We identified patients diagnosed with stage I–III ER-positive ILC from 2004 to 2016 using the National Cancer Database. All patients underwent 70-gene ST testing. We used the Kaplan–Meier method and Cox proportional hazard analyses to determine overall survival based on genomic risk classification. We also determined the benefit of adjuvant chemotherapy for patients with high-genomic risk ILC based on 70-gene ST testing. Results We identified 2610 patients with ILC who underwent 70-gene ST testing; 280 (11%) were classified as high genomic risk. Five-year overall survival rates were significantly worse for patients classified as high risk (83%) as compared with those classified as low risk (94%, p < 0.05). In Cox models, high genomic risk was independently associated with a significantly increased hazard of death. In our Cox models of patients who were high genomic risk, adjuvant chemotherapy was not significantly associated with improved overall survival. Conclusion In this large database study, we found that the genomic risk category determined by the 70-gene ST was significantly associated with survival outcomes for patients with ILC. However, the 70-gene ST failed to predict the benefit of adjuvant chemotherapy for patients with high genomic risk.
More
Translated text
Key words
Breast cancer,Invasive lobular cancer,70-Gene signature test,Cancer genomics,Chemotherapy
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined