Predictive significance of inflammatory markers in the survival of older Indian patients with cancer: a single-center prospective analysis

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Abstract

Aim: To evaluate the prognostic impact of neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) on overall survival (OS) among Indian older patients with cancer. Methods: This observational study was conducted in the geriatric oncology clinic of Tata Memorial Hospital (India). We included all patients who underwent a geriatric assessment (GA) and had a complete blood count available for analysis. The NLR was dichotomized at 3.5, PLR and LMR at the median. Our primary study outcome was OS. Results: Between June 2018 and November 2021, 786 patients were enrolled (median age: 69 years). The most common primary tumour was lung (308, 39.5%), followed by gastrointestinal (261, 33.5%). Metastatic disease was present in 54.3% of patients. Univariate analysis revealed that patients with NLR >3.5 had shorter OS (9.1 months) than NLR <3.5 (15.7 months) (HR: 1.56). Similarly, patients with PLR >183.5 had reduced OS (9.3 months) compared to PLR <183.5 (16.6 months) (HR: 1.56). Conversely, patients with LMR >3.1 showed better OS (14.2) compared to LMR <3.1 (9.8 months) (HR: 0.74). After adjusting for age, performance status, primary tumour, metastatic status and GA-derived factors (function, nutrition and cognition), NLR (HR: 1.25, 95%CI: 1.03–1.52), PLR (HR: 1.34, 95%CI: 1.11–1.63) and LMR (HR: 0.79, 95%CI: 0.65–0.95) were associated with OS. Conclusion: In our study of older cancer patients, we identified three key inflammatory markers (NLR >3.5, PLR >183.5, LMR <3.1) as strong predictors of poor OS. These markers remain predictive even after accounting for traditional prognostic factors and GA-derived scales.

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Rao, A. R., Noronha, V., Ramaswamy, A., Sekar, A., Kumar, A., Pillai, A., … Prabhash, K. (2024). Predictive significance of inflammatory markers in the survival of older Indian patients with cancer: a single-center prospective analysis. Ecancermedicalscience, 18. https://doi.org/10.3332/ecancer.2024.1746

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