Vessels that encapsulate tumor clusters (VETC) pattern predicts the efficacy of adjuvant TACE in hepatocellular carcinoma.

Autor: Wang, Jia-hong, Li, Xiao-shan, Tang, Hong-sheng, Fang, Run-ya, Song, Jing-jing, Feng, Yan-lin, Guan, Tian-pei, Ruan, Qiang, Wang, Jin, Cui, Shu-Zhong
Předmět:
Zdroj: Journal of Cancer Research & Clinical Oncology; Jul2023, Vol. 149 Issue 8, p4163-4172, 10p
Abstrakt: Purpose: Postoperative adjuvant trans-catheter arterial chemoembolization (TACE) is regarded as a common strategy for hepatocellular carcinoma (HCC) patients at a high risk of recurrence. However, there are currently no clinically available biomarkers to predict adjuvant TACE response. Vessels that encapsulate tumor clusters (VETC) can be used as an independent predictor of HCC prognosis. In this study, we aimed to explore whether the VETC pattern could predict adjuvant TACE benefit. Methods: Vascular pattern and HIF-1α expression were detected in immunohistochemistry. The survival benefit of adjuvant TACE therapy for patients with or without VETC pattern (VETC+ /VETC−) was evaluated. Results: The adjuvant TACE therapy obviously improved the TTR and OS in VETC+ patients, while adjuvant TACE therapy could not benefit from VETC− patients. Univariate and multivariate analysis revealed that adjuvant TACE therapy significantly improved the TTR and OS in VETC+ patients, but not in VETC- patients. In addition, the VETC+ , but not VETC− , patients could benefit from adjuvant TACE therapy in patients with high-risk factors of vascular invasion, larger tumor or multiple tumor. The mechanistic investigations revealed that the favorable efficacy of adjuvant TACE on VETC+ patients, but not VETC− ones, may be not due to the activation of HIF-1α pathway. Conclusion: The VETC pattern may represent a novel and reliable factor for selecting HCC patients who may benefit from adjuvant TACE therapy, and the combination of VETC pattern and tumor characteristics may help stratify patients' outcomes and responses to adjuvant TACE therapy. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index