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Journal : Bioscientia Medicina : Journal of Biomedicine and Translational Research

Systemic Inflammatory Response and Chemotherapy Efficacy in Non-Small Cell Lung Cancer: An Analysis of the Platelet-to-Lymphocyte Ratio as a Predictive Biomarker Sudarto; Ade Pratama Heriansa
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 9 No. 8 (2025): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/bsm.v9i8.1365

Abstract

Background The variable response to chemotherapy in non-small cell lung cancer (NSCLC) necessitates accessible biomarkers for prognostic stratification. The platelet-to-lymphocyte ratio (PLR), a marker of systemic inflammation, is a promising candidate. This study evaluates the predictive value of pre-treatment PLR for chemotherapy response in an Indonesian NSCLC cohort, a population underrepresented in biomarker research. Methods: A retrospective cohort study was conducted on 59 adult patients with advanced-stage NSCLC at Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia. Patients receiving first-line platinum-based chemotherapy were included. The association between baseline hematological markers and chemotherapy response (Partial Response [PR], Stable Disease [SD], Progressive Disease [PD]) was analyzed using the Kruskal-Wallis test, with Dunn's test for post-hoc comparisons. Receiver Operating Characteristic (ROC) curve analysis was used to determine the predictive accuracy and an optimal cut-off value for PLR. Results: Statistically significant differences in median PLR were found across all response groups (p-value <0.0001). Post-hoc analysis confirmed a graded response, with the PLR of the PD group being significantly higher than that of both the SD and PR groups. ROC analysis demonstrated good predictive accuracy for PLR in discriminating responders (PR) from non-responders (SD+PD), yielding an Area Under the Curve (AUC) of 0.86. A PLR cut-off of 185 was identified, showing high sensitivity and specificity. Conclusion: In this cohort, pre-treatment PLR was a statistically robust predictor of chemotherapy response, with a clear dose-response relationship and good predictive accuracy. PLR reflects the crucial balance between tumor-driven inflammation and host immunity, and its elevation signals a biological state that is resistant to standard chemotherapy. This simple, inexpensive biomarker holds considerable potential as a component of a multi-faceted prognostic model for NSCLC.
Beyond Cholesterol: The Independent Roles of Inflammation and Renal Dysfunction in Carotid Atherosclerosis Among Indonesian Elders Rukiah Chodilawati; Taufik Indrajaya; Ferry Usnizar; Sudarto; Irsan Saleh
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 9 No. 9 (2025): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/bsm.v9i9.1386

Abstract

Background: Atherosclerosis remains a leading cause of mortality in aging populations, driven by a complex interplay of metabolic and inflammatory factors. While dyslipidemia is a cornerstone of risk, the contributions of systemic inflammation, marked by high-sensitivity C-reactive protein (hsCRP), and declining renal function are increasingly recognized. This study aimed to elucidate the independent associations of hsCRP, dyslipidemia, and renal function with the presence of carotid atherosclerosis in an understudied elderly Indonesian population. Methods: We conducted a single-center, case-control study at a tertiary hospital in Palembang, Indonesia, from January to June 2024. One hundred participants aged ≥60 years were enrolled from the geriatric outpatient clinic. Cases were defined by the presence of carotid plaque, identified via B-mode Doppler ultrasound, and defined according to international consensus criteria. Controls had no evidence of plaque. We performed multivariate logistic regression to identify independent predictors of atherosclerosis, including hsCRP, lipid parameters, and estimated glomerular filtration rate (eGFR). Results: After multivariable adjustment, three factors emerged as significant, independent predictors of carotid atherosclerosis. High total cholesterol (≥200 mg/dL) was the most powerful predictor, associated with a more than seven-fold increased odds of plaque (Adjusted Odds Ratio [aOR]: 7.38; 95% Confidence Interval [CI]: 2.87–18.94; p<0.001). Elevated hsCRP (≥2 mg/L) (aOR: 3.38; 95% CI: 1.33–8.59; p=0.005) and abnormal eGFR (≤90 mL/min/1.73m²) (aOR: 3.36; 95% CI: 1.10–10.22; p<0.001) were also robustly associated with atherosclerosis, each conferring over a three-fold increase in odds. Conclusion: In this elderly Indonesian study, dyslipidemia remains a dominant risk factor for carotid atherosclerosis. However, systemic inflammation (high hsCRP) and mild renal dysfunction (abnormal eGFR) are also powerful, independent contributors. These findings highlight the multifactorial nature of atherosclerosis and underscore the importance of a comprehensive risk assessment that extends beyond traditional lipid profiling to include markers of inflammation and renal health.