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AIM: A link has been established between malnutrition, immunological status, and hepatocellular carcinoma (HCC). The prognostic nutritional index (PNI) has been recognized as a prognostic indicator in early-stage HCC and in patients treated with first-line therapy. However, to date, the role of the PNI in HCC patients treated with regorafenib has not been reported. METHODS: We undertook a multicentric analysis on a cohort of 284 patients affected by advanced HCC treated with regorafenib. The PNI was calculated as follows: 10 × serum albumin concentration (g/dl) + 0.005 × peripheral lymphocyte count (number/mm3 ). Univariate and multivariate analyses were used to investigate the association between PNI and survival outcomes. RESULTS: A PNI cut-off value of 44.45 was calculated by a receiver operating characteristic analysis. The median overall survival was 12.8 and 7.8 months for patients with high (>44.45) and low (≤44.45) PNI, respectively (hazard ratio, 0.58; 95% confidence interval, 0.43-0.77; p = 0.0002). In the univariate and multivariate analyses, low PNI value and increased serum bilirubin level emerged as independent prognostic factors for overall survival. No differences were found between high and low PNI in terms of progression-free survival (p = 0.14). CONCLUSION: If validated, the PNI could represent an easy-to-use prognostic tool able to guide the clinical decision-making process in HCC patients treated with regorafenib.
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BACKGROUND: Approximately 50% of colorectal cancers occur in older patients. International societies recommend geriatric tools to optimise treatment of older patients. Comprehensive Geriatric Assessment (CGA) is a multidimensional assessment used to classify patients as fit, vulnerable, or frail. The CGA-based oncological multidimensional prognostic index (onco-MPI) also classifies patients as high-, intermediate-, or low-risk based on tumour characteristics. We investigated the role of CGA and onco-MPI in older patients with metastatic colorectal cancer (mCRC) in a real-world setting. METHODS: Data for consecutive mCRC patients aged ≥70 years were retrieved from a prospectively maintained database from 2010 to 2020. We analyzed patients' and tumours' characteristics, and the CGA domains. Onco-MPI was calculated by a validated algorithm derived from CGA domains. Pearson's test was used to verify whether onco-MPI scores and chemotherapy administration were correlated. RESULTS: The study included 488 mCRC patients with a mean age of 76.1 years. According to CGA, 52% of patients were fit, 28% vulnerable, and 20% frail. According to onco-MPI, 9% were low, 54% intermediate, and 37% high-risk. The median OS was 22.7 months. The following factors improved OS: 0-1 ECOG PS, low onco-MPI, fit based on CGA, chemotherapy administration, and doublet regimen. Chemotherapy administration significantly correlated with onco-MPI scores, leading to a survival gain regardless of the risk subgroups. First-line regimen had no impact on survival across the CGA and onco-MPI categories. CONCLUSION: CGA and onco-MPI scores confirmed their prognostic impact in older mCRC patients and may aid in decision-making and subgroup stratification in dedicated trials.