Recently, a distinct vascular pattern in hepatocellular carcinoma (HCC) called vessels encapsulating tumor-forming clusters (VETC) has received attention because of its association with poor prognosis. However, little is known about the mechanism by which VETC promotes an aggressive phenotype at the molecular level. In our study, the association between differences in stepwise signal intensity in the HB phase and molecular subtypes and somatic mutations associated with the immune microenvironment were investigated using the International Cancer Genome Consortium (ICGC) cohort (66 patients). To our knowledge, this is the first study to analyze the molecular patterns of VETC using RNA-Seq data. The VETC+ HCC group showed significantly lower overall survival and higher cumulative incidence of extrahepatic metastasis after curative hepatic resection than the VETC- HCC group. The VETC+ group exhibited molecular features indicative of lower immune activation than the VETC- group, suggesting that tumor cells in the VETC+ group were more likely to escape from the immune response, which could lead to the shorter OS (Overall survival) and higher risk of metastasis. On the other hand, gene expression levels of fibroblast growth factor receptors were upregulated in VETC+ HCC, suggesting that VETC+ HCC might benefit from lenvatinib treatment. Our results demonstrate that VETC+ HCC was associated with the suppression of tumor immune responses at the molecular level.
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http://dx.doi.org/10.1002/ijc.34247 | DOI Listing |
Purpose: Vessels encapsulating tumor clusters (VETC) was implicated in the unfavourable prognosis of hepatocellular carcinoma (HCC). While potentially valuable for noninvasive evaluation, the proposed imaging criteria of VETC require external validation. This study aimed to evaluate the performance and prognostic value of these imaging criteria via CT and gadoxetic acid-enhanced MRI.
View Article and Find Full Text PDFQuant Imaging Med Surg
December 2024
Chongqing Medical University, Chongqing, China.
Background: The value of Liver Imaging Reporting and Data System (LI-RADS) radiological features and tumor three-dimensional volumetric quantification in preoperative magnetic resonance imaging (MRI) for predicting the vessels encapsulating tumor clusters (VETC) pattern of solitary hepatocellular carcinoma (HCC) is unknown. This study aimed to assess the value of these indicators for predicting the VETC pattern of solitary HCC.
Methods: In total, 36 patients with HCC were selected from a cohort containing 126 patients for further data evaluation.
Hepatol Commun
January 2025
Department of Pathology, Keio University School of Medicine, Tokyo, Japan.
Background: Vessels encapsulating tumor clusters (VETC) pattern is tumor vasculature of HCC and is a predictor of prognosis and therapeutic efficacy. Recent radiological studies have demonstrated the predictability of VETC from preoperative images, but the mechanisms of image formation are not elucidated. This study aims to determine the relationship between VETC and intratumor heterogeneity in Gd-EOB-DTPA-enhanced magnetic resonance imaging (EOB-MRI) and to provide its pathological evidence.
View Article and Find Full Text PDFPathology
October 2024
Division of Hepatobiliary and Pancreatic Surgery, Department of General Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China; The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China. Electronic address:
According to previous studies, vessels encapsulating tumour clusters (VETC) could promote metastasis of hepatocellular carcinoma (HCC) in a manner independent from epithelial-mesenchymal transition (EMT). However, the prognostic significance of VETC among patients undergoing curative hepatectomy has not been fully explored. This study was performed to assess the prognostic significance of VETC among patients with HCC undergoing curative hepatectomy.
View Article and Find Full Text PDFJ Hepatocell Carcinoma
November 2024
Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
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