Clinical Significance of Blood Cell-Derived Inflammation Markers in Assessing Potential Early and Late Postoperative...

Background/Objectives: Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide. Despite advancements in surgical techniques and oncological treatments, postoperative complications remain a significant challenge, affecting both immediate recovery and long-term survival. Systemic inflammation has been identified as a critical factor influencing cancer progression and postoperative outcomes. This systematic review evaluates the clinical significance of blood cell-derived inflammatory markers in predicting early and late postoperative complications in CRC patients. Methods: We included studies involving adult patients (≥18 years) with histologically confirmed colorectal cancer, for whom elective radical surgery was performed, as well as at least one of the considered blood-based inflammatory biomarkers (NLR, PLR, SII, or LMR) documented in relation to outcomes. Results: After removing duplicates, 19 studies published between 2016 and 2025 were included in the qualitative analysis. A total of 7023 patients who underwent elective curative surgery for colorectal cancer were analyzed, with mean age varying widely between 47.3 and 74.6 years. Preoperative NLR values were significantly correlated with severe complications, IAI, AL, and overall complications in 13 out of 19 studies (68.4%), with a cutoff value between 2.21 and 4, while early postoperative NLR values were predictive for AL. Late postoperative complications, such as recurrence and overall survival, were also associated with elevated preoperative NLR and PLR values. However, variability in study designs, patient populations, and cutoff values for these indices contributed to inconsistent findings. Conclusions: Blood cell-derived inflammatory markers offer a valuable, non-invasive tool for assessing postoperative risks in patients with CRC. New design nomograms or risk scores that include, beside blood cell-derived inflammation markers, other relevant data, could ensure an optimal predictive value that could be easily used in clinical practice for personalized risk management in patients with colorectal cancer.