The Clinical Association Between the Inflammation-Nutritional Condition and Prognosis of Locally Advanced Intrahepatic Cholangiocarcinoma After R0 Resection: Evidence from Competing Risk and Propensity Matching Analysis.

Background: Intrahepatic cholangiocarcinoma (ICC) correlates with poor outcomes, necessitating the identification of prognostic factors from an inflammation-nutritional perspective in locally advanced ICC patients after R0 resection. Methods: We retrospectively reviewed the medical records of 159 locally advanced ICC patients from Sun Yat-sen University Cancer Center. Univariate and multivariate Cox regression analysis, as well as competing risk analysis, were conducted to explore prognostic variables for locally advanced ICC following surgery. To validate the robustness of our findings, we performed propensity score matching (PSM) analyses to evaluate survival differences based on inflammation-nutritional indexes. Results: Considering non-cancer-specific death as competing risk factors, both systemic immune-inflammation index (SII, HR: 1.934) and prognostic nutrition index (PNI, HR: 0.604) emerged as significant prognostic variables for locally advanced ICC after R0 resection (P < 0.05). After PSM, the survival benefit between the low and high PNI sets remained clear (median survival time: 15.7 months vs 35.1 months, P = 0.002). Although the 5-year overall survival (OS) rate of the low SII group was higher than that of the high SII group, the difference was not statistically significant (17.5% VS 27.4%, P = 0.112). Other influencing factors included tumor number, tumor diameter, preoperative carcinoembryonic antigen (CEA)and carbohydrate antigen 19-9 (CA19-9) levels, and postoperative adjuvant therapy. Conclusion: Individual inflammatory and nutritional status significantly impact the prognosis of locally advanced ICC undergoing R0 hapectomy. Oncologists should consider incorporating inflammation-nutritional conditions into the decision-making process for this subset of advanced ICC.

IL20RB signaling enhances stemness and chemotherapy resistance in pancreatic cancer.

OBJECTIVE: Pancreatic cancer is an aggressive malignancy with high mortality, and cancer cell stemness and related drug resistance are considered important contributors to its poor prognosis. The objective of this study was to identify regulatory targets associated with the maintenance of pancreatic cancer stemness. MATERIALS AND METHODS: Pancreatic tumor samples were collected from patients at Sun Yat-sen University Cancer Center, followed by immunofluorescence analysis. Pancreatic cancer cell lines with Interleukin-20 receptor subunit beta (IL20RB) overexpression and knockdown were established, and clonal formation, spheroid formation and side population cell analysis were conducted. The effects of IL20RB knockdown on the tumor-forming ability of pancreatic cancer cells and chemotherapy resistance in vivo were explored. RESULTS: IL20RB expression was significantly upregulated in pancreatic cancer tissues, and was correlated with unfavorable prognosis. The IL20RB receptor promotes stemness and chemoresistance in both in vitro and in vivo models of pancreatic cancer. Mechanistically, IL20RB enhances the stemness and chemoresistance of pancreatic cancer by promoting STAT3 phosphorylation, an effect that can be counteracted by a STAT3 phosphorylation inhibitors. Additionally, Interleukin-19 derived from the microenvironment is identified as the primary ligand for IL20RB in mediating these effects. CONCLUSION: Our findings demonstrate that IL20RB plays a crucial role in promoting stemness in pancreatic cancer. This discovery provides a potential therapeutic target for this lethal disease.

Development and validation of web-based prognostic nomograms for massive hepatocellular carcinoma (≥10 cm): A retrospective study based on the SEER database.

BACKGROUND AND AIMS: Massive hepatocellular carcinoma (MHCC, a maximum tumor size of at least 10 cm) tends to have a poor prognosis. Therefore, this study aims to construct and validate prognostic nomograms for MHCC. METHODS: Clinic data of 1292 MHCC patients between 2010 and 2015 were got from the surveillance, epidemiology, and end results (SEER) cancer registration database. The whole set was separated into the training and validation sets at a ratio of 2:1 randomly. Variables, significantly associated with cancer-specific (CSS) and overall survival (OS) of MHCC were figured out by multivariate Cox regression analysis and were taken to develop nomograms. The concordance index (C-index), calibration curve, and decision curve analysis (DCA) were taken to validate the predictive abilities and accuracy of the nomograms. RESULTS: Race, alpha-fetoprotein (AFP), grade, combined summary stage, and surgery were identified as independent factors of CSS, and fibrosis score, AFP, grade, combined summary stage, and surgery significantly correlated with OS in the training cohort. They then were taken to construct prognostic nomograms. The constructed model for predicting CSS exhibited satisfactory performance with a C-index of 0.727 (95% CI: 0.746-0.708) in the training group and 0. 672 (95% CI: 0.703-0.641) in the validation group. Besides, the model for predicting OS of MHCC also showed strong performance both in the training group (C-index: 0.722, 95% CI: 0.741-0.704) and the validation (C-index: 0.667, 95% CI: 0.696-0.638) group. All calibration curves and decision curves performed satisfactory predictive accuracy and clinic application values of the nomograms. CONCLUSION: The web-based nomograms for CSS and OS of MHCC were developed and validated in this study, which prospectively could be tested and may serve as additional tools to assess patient's individualized prognosis and make precise therapeutic selection to improve the poor outcome of MHCC.