Increasing evidence indicates that preoperative prognostic indices can serve as independent predictors of survival in patients with cancer. However, the applicability of these indices in patients with hepatocellular carcinoma (HCC) is controversial. This study aims to investigate the prognostic value of these indices in patients with HCC after curative hepatectomy. We retrospectively analyzed the data of 215 patients who underwent curative resection for HCC. Prognostic indices including prognostic nutritional index (PNI) and neutrophil-to-lymphocyte ratio (NLR) were evaluated by comparing by the area under the curve (AUC). Univariate analysis and multivariate analysis were performed to identify independent prognostic factors. Additionally, risk factors were combined to predict the survival of patients. We found that serum albumin concentration, tumor diameter, tumor stage, degree of differentiation, PNI, and NLR were independent prognostic factors for overall survival (OS). Vascular invasion, tumor stage, degree of differentiation, and PNI were independent prognostic factors for recurrence-free survival (RFS). The cutoff value of the PNI and NLR was 43.75 and 3.29, respectively. Patients with low NLR and high PNI had the best outcomes, potentially indicative of the intensive antitumor effects of the immune system. Moreover, patients with at least three risk factors had a significantly lower OS and RFS compared with those with two or fewer risk factors. This new nomogram based on PNI and NLR may provide an accessible and individualized prediction of survival and recurrence for HCC patients.
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http://dx.doi.org/10.3389/fonc.2021.823054 | DOI Listing |
Zhongguo Fei Ai Za Zhi
November 2024
Lung Cancer Center, West China Hospital, Sichuan University; Sichuan Lung Cancer Institute, Chengdu 610041, China.
Background: Lung cancer is one of the malignant tumors with the highest morbidity and mortality rates worldwide, seriously threatening human health. Non-small cell lung cancer (NSCLC) accounts for more than 85% of all lung cancer cases. STMN1 is a microtubule depolymerizing protein widely present in the cytoplasm and its expression level is associated with the prognosis of NSCLC patients.
View Article and Find Full Text PDFPak J Pharm Sci
January 2025
Department of Pathophysiology, Shanxi Medical University, Jinzhong, Shanxi Province, China.
This study investigates the prognostic value of serum biomarkers PD-L1 and IGFBP-2 in patients with esophageal carcinoma. It finds a significant positive correlation between these biomarkers and established tumor markers CEA and CYFRA21-1. The 3-year survival rate for the patient cohort was 45.
View Article and Find Full Text PDFBMC Neurol
January 2025
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Background: Cerebral venous sinus thrombosis (CVST) is a rare yet significant neurological disorder with high mortality. Understanding its evolving characteristics, risk factors, and outcomes, particularly in Chinese patients after the COVID-19 pandemic, is critical for developing effective preventive and therapeutic strategies.
Methods: A retrospective analysis was conducted on 471 CVST cases from Xuanwu Hospital, comparing data before (2013-2017, n = 243) and after (2021-2023, n = 228) the COVID-19 pandemic.
BMC Pulm Med
January 2025
Medical Research Center, Affiliated Hospital of Jining Medical University, Jining Medical University, 89 Guhuai Road, Jining, Shandong Province, 272029, PR China.
Background: Lung cancer is a leading cause of morbidity and mortality globally. Despite advances in targeted and immunotherapies, overall survival (OS) rates remain suboptimal. Cyclin-A2 (CCNA2), known for its upregulation in various tumors and role in tumorigenesis, has an undefined function in non-small cell lung cancer (NSCLC).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
The connection between metabolic reprogramming and tumor progression has been demonstrated in an increasing number of researches. However, further research is required to identify how metabolic reprogramming affects interpatient heterogeneity and prognosis in clear cell renal cell carcinoma (ccRCC). In this work, single-cell RNA sequencing (scRNA-seq) based deconvolution was utilized to create a malignant cell hierarchy with metabolic differences and to investigate the relationship between metabolic biomarkers and prognosis.
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