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Is Clinical Risk Score a Useful Predictive Marker of Early Recurrence Among Metastatic Breast Cancer Patients Treated with CDK4/6 Inhibitors?
- Source :
- Eurasian Journal of Medical Investigation; 2024, Vol. 8 Issue 2, p106-112, 7p
- Publication Year :
- 2024
-
Abstract
- Objectives: The addition of CDK4/6 inhibitors to standard hormonotherapy improved progression-free survival(PFS) of hormone-positive, HER-2 negative metastatic breast cancer(mBC). We analyzed clinicopathological risk factors predicting early recurrence in mBC patients treated with a combination of CDK4/6 inhibitor and hormonotherapy. Methods: 229 patients were included, and 95 recurrences were seen. Median ER and PR expressions, ki67 levels, metastatic sites, number of metastasis, and grade were related to recurrence. Patients were classified according to the presence of prognostic factors: group 1 included patients with 0-1 risk factors, group 2 with 2-3 risk factors, and group 3 with ≥4risk factors. Results: Median ER, PR, and ki67 levels were 90, 60, and 25,respectively. Median ER, PR, Kİ67, grade, metastatic site, and the number of metastasis were related to PFS. Advanced CDK4/6 line and response were significant for PFS.Median PFS was 6.5 months for recurrent patients. According to the predictive model, patients who recurred before 6.5 months had a high-risk group (group 2,3). PS, family history, CDK4/6 inhibitor types were found to be related to PFS among the recurrent group. Conclusion: There is a need for a prospective design study to determine the clinicopathological markers identifying early recurrence under CDK4/6 inhibitors so new combination therapies or alternatives can be developed. [ABSTRACT FROM AUTHOR]
- Subjects :
- BREAST cancer prognosis
PROTEIN kinase inhibitors
RISK assessment
CANCER relapse
PREDICTION models
HORMONE receptor positive breast cancer
BREAST tumors
TUMOR markers
CHI-squared test
DESCRIPTIVE statistics
METASTASIS
GENE expression
KAPLAN-Meier estimator
HORMONE therapy
ONCOGENES
STATISTICS
PROGRESSION-free survival
DATA analysis software
DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 26023164
- Volume :
- 8
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Eurasian Journal of Medical Investigation
- Publication Type :
- Academic Journal
- Accession number :
- 179151020
- Full Text :
- https://doi.org/10.14744/ejmi.2024.52208