Prognostic biomarkers in metastatic colorectal cancer: delta prognostic nutritional index, delta neutrophil to lymphocyte ratio, and delta platelet to lymphocyte ratio

Koçak, Mehmet Zahid; Coban, Seda; Araz, Murat; Eryılmaz, Melek Karakurt; Artaç, Mehmet

doi:10.1007/s00520-023-07829-w

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…Some studies (Mirili et al, 2019;Nazha et al, 2015) have suggested that nutrition and inflammation play a vital role in tumor development, angiogenesis, and apoptosis. This finding is in accordance with previous studies (Ellez et al, 2023;Kocak et al, 2023;Maejima et al, 2022;Xu et al, 2023) and supports the usefulness of PNI as a predictor of prognosis in cancer patients. However, the differing results in subgroup analyses may be attributed to variations in the stratified population, race, and genetic inheritance, among other factors.…”

Section: Discussionsupporting

confidence: 93%

Association of prognostic nutritional index with mortalities in American adult cancer survivors: A cohort study based on NHANES, 1999–2018

Zhao,

Shen,

Yang

et al. 2023

Food Science & Nutrition

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The prognostic nutritional index (PNI) has been associated with disease progression and overall survival among cancer patients. Nonetheless, the association between PNI and mortality risk in adult cancer patients within the United States remains unexplored. This study aims to elucidate the connection between PNI and prognostic outcomes in American adult cancer patients. This cohort study derived data from the National Health and Nutrition Examination database, involving 4366 American adults diagnosed with cancer between 1999 and 2018. The nutritional status was assessed using the PNI, with higher PNI scores indicating a more favorable nutritional status. The study employed Kaplan–Meier curves and Cox proportional hazard regression to investigate the impact of PNI on various outcomes, including all‐cause mortality (ACM), cardiovascular mortality (CAM), and malignancy tumor mortality (MTM) among adult cancer patients. Furthermore, restricted cubic spline models were used to examine the potential nonlinear relationship between the variables by creating hazard ratio (HR) curves at four specific points. The median follow‐up duration was 84 months, during which 1530 (35.04%) cases of ACM occurred, including 331 (13.67%) CAM and 449 (10.45%) MTM. COX regression analysis revealed a significant inverse association between PNI and patient prognosis, with HRs of 0.95 (95% CI: 0.93–0.96, p < .001) for ACM, 0.93 (95% CI: 0.90–0.96, p < .001) for CAM, and 0.94 (95% CI: 0.91–0.97, p < .001) for MTM. Both Kaplan–Meier analyses and restricted cubic spline curves showed significant differences in mortality rates related to PNI (p < .001, nonlinear p < .001). Our study provides compelling evidence of a clear association between PNI and reduced risk of ACM, CAM, and MTM in adult cancer patients in the United States. These findings underscore the significance of incorporating PNI as a possible prognostic indicator for individuals diagnosed with cancer.

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