Publications by authors named "Payal Shrivastava"
Comparison of Risk Stratification by CanAssist Breast Test Performed on Core Needle Biopsies Versus Surgical Specimens in Hormone Receptor-Positive, Her2-Negative Early Breast Cancer.
Badada Ananthamurthy Savitha Payal Shrivastava Rahul Bhagat Naveen Krishnamoorthy Deepti K Shivashimpi
Cureus
September 2024
Article Synopsis
- Core needle biopsies (CNB) are increasingly used for biomarker testing in breast cancer, with the CanAssist Breast (CAB) test assessing the risk of recurrence in early-stage hormone receptor-positive, Her2-negative patients.
- A study of 103 paired samples showed a high concordance rate of 92.2% between CNB and surgical specimens, indicating that CAB performed on CNB provides reliable risk stratification.
- The accuracy of CAB in identifying low-risk patients is particularly notable at 97.5%, allowing for informed treatment decisions, such as avoiding unnecessary chemotherapy.
Article Synopsis
- The study focuses on the long-term recurrence risk in women with hormone receptor-positive, HER2-negative breast cancer, using data from the TEAM trial involving nearly 10,000 patients across multiple countries, including 2,754 from the Netherlands.
- The research specifically evaluates the effectiveness of the CanAssist Breast (CAB) prognostic test in predicting ten-year clinical outcomes for Dutch patients, finding significant associations with risk stratification.
- Results reveal that CAB identified 67.5% of patients as low-risk and 32.5% as high-risk at ten years, with high-risk patients showing worse distant recurrence-free intervals and being independent prognostic factors compared to other clinical parameters.