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A New Prognostic Index in Young Breast Cancer Patients
Hacer Demir1, Ayse Demirci2, Saliha Karagoz Eren3
1Department of Medical Oncology, Afyon Health Sciences University School of Medicine, Afyonkarahisar, Turkey.
Insights
The study explored the prognostic value of the pan immune-inflammation value (PIV) in young breast cancer patients. While higher PIV was linked to advanced stages, its prognostic significance for survival requires further validation in larger studies.
Area of Science:
- Oncology
- Inflammation markers
- Cancer prognosis
Background:
- Young breast cancer patients represent a distinct clinical group.
- Identifying novel prognostic markers is crucial for personalized treatment strategies.
Purpose of the Study:
- To evaluate the prognostic role of the pan immune-inflammation value (PIV) in breast cancer patients under 40.
- To assess the association between PIV and clinicopathological parameters and survival outcomes.
Main Methods:
- A descriptive study was conducted on young breast cancer patients (age < 40) diagnosed between 2010-2020.
- Pan immune-inflammation value (PIV) was calculated using the formula: (neutrophil x platelet x monocyte/lymphocyte).
- Kaplan-Meier analysis and log-rank tests were used to evaluate overall survival (OS) based on the median PIV cut-off value.
Main Results:
- Patients with high PIV (n=122) showed a statistically significant association with more advanced AJCC stage and younger age compared to the low PIV group (n=121).
- Although survival appeared worse in the high PIV group, this difference did not reach statistical significance (p=0.112).
Conclusions:
- Elevated PIV may serve as a potential prognostic marker in young breast cancer patients.
- Further validation in large, multi-center prospective studies is necessary to confirm the prognostic value of PIV.
Objective:
To evaluate the prognostic role of pan immune-inflammation value (PIV) in young breast cancer patients.
Study Design:
Descriptive study.
Place And Duration Of Study:
Department of Medical Oncology, Afyon University of Health Sciences, School of Medicine Hospital, Turkey, between January 2010 and December 2020.
Methodology:
Patients who were under the age of 40 years at the time of diagnosis were included. Patients' characteristics and disease parameters were recorded. PIV was calculated according to (neutrophil x platelet x monocyte/lymphocyte, i.e. NxPxM/L) formula. Since a cut-off value with max sensitivity and specificity could not be obtained with ROC analysis, the median value of PIV was used as cut-off value. The relationship between PIV and pathological parameters was evaluated by ROC curves. The Kaplan-Meier method was used for OS and the log-rank test was used to evaluate the survival differences between the two groups, according to the optimal cut-off point.
Results:
Based on the PIV cut-off value of 121 (49.8%) patients were in the low PIV and 122 (50.2%) patients were in the high PIV group. The patients in the high PIV group had a statistically significantly more advanced AJCC stage, and were younger patients. In the survival analysis, it was observed that the survival was worse in the high PIV group but this difference did not reach statistical significance (p=0.112).
Conclusion:
Higher PIV levels at the time of diagnosis can be another prognostic marker. However, to clarify the PIV prognostic value, it needs to be validated in larger, multi-centre prospective clinical studies. Key Words: Breast cancer, Pan immune-inflammation value (PIV), Prognosis, Young women.
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