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Decrease in Neutrophil-to-Lymphocyte Ratio during Neoadjuvant Chemotherapy as a Predictive and Prognostic Marker in
Elisabetta Sanna1, Luciana Tanca2, Cristina Cherchi2
1Department of Gynecologic Oncology, A. Businco Hospital, ARNAS G. Brotzu, 09100 Cagliari, Italy.
Diagnostics (Basel, Switzerland)
|August 7, 2021
Summary
The neutrophil-to-lymphocyte ratio (NLR) change during neoadjuvant chemotherapy (NACT) predicts treatment response in advanced ovarian cancer. A decreasing NLR after three cycles indicates a better response and improved progression-free survival (PFS).
Area of Science:
- Oncology
- Inflammation research
- Chemotherapy response monitoring
Background:
- Chronic inflammation is linked to ovarian cancer progression.
- Pre-treatment neutrophil-to-lymphocyte ratio (NLR) has been studied for ovarian cancer prognosis.
- The dynamic changes of NLR during neoadjuvant chemotherapy (NACT) require further investigation.
Purpose of the Study:
- To evaluate the dynamic behavior of NLR during NACT in high-grade serous (HGS) advanced epithelial ovarian cancer.
- To assess the correlation of NLR changes with clinical response, progression-free survival (PFS), and other inflammatory markers.
- To determine if NLR can serve as an early predictive marker for NACT response.
Main Methods:
- Prospective observational study of 161 patients undergoing NACT for advanced HGS ovarian cancer.
- NLR was measured before NACT and after three cycles.
- Patients were categorized into responsive and non-responsive groups based on response after three cycles.
Main Results:
- Baseline NLR did not predict NACT response, but a decrease in NLR after three cycles correlated with better response.
- Post-NACT levels of CRP, IL-6, ferritin, and mGPS were associated with clinical response.
- Low NLR after three cycles, not at baseline, significantly predicted higher PFS.
Conclusions:
- NLR change during NACT is a potential predictive marker for treatment response in advanced HGS ovarian cancer.
- Monitoring NLR dynamics allows for early identification of non-responsive patients.
- This facilitates timely treatment adjustments for improved patient outcomes.

