A novel nomogram to predict the recurrence of hepatocellular carcinoma after liver transplantation using extended selection criteria.

Background: Liver transplantations (LTs) with extended criteria have produced surgical results comparable to those obtained with traditional standards. However, it is not sufficient to predict hepatocellular carcinoma (HCC) recurrence after LT according to morphological criteria alone. The present study aimed to construct a nomogram for predicting HCC recurrence after LT using extended selection criteria.

Integrated multi-omics analysis identifies as a predictor of recurrence and a regulator of telomere maintenance in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and has a high recurrence rate. Accurate prediction of recurrence risk is urgently required for tailoring personalized treatment programs for individual HCC patients in advance. In this study, we analyzed a gene expression dataset from an HCC cohort with 247 samples and identified five genes including , , , , and as the variables for the prediction of HCC recurrence, especially the early recurrence.

Immune evasion mechanisms and therapeutic strategies in gastric cancer.

Gastric cancer (GC) is a malignancy with a high incidence and mortality. The tumor immune microenvironment plays an important role in promoting cancer development and supports GC progression. Accumulating evidence shows that GC cells can exert versatile mechanisms to remodel the tumor immune microenvironment and induce immune evasion.