Wang Lili, Xu Han Xin, Wang Rui, Zhang Fachang, Deng Diandian, Zhu Xiaoyang, Tan Qi, Yang Heng
Department of Radiology, First Hospital of Lanzhou University, Chengguan District, Donggangxi Road No. 1, Lanzhou, 730000, China.
First Clinical Medical School of Lanzhou University, Chengguan District, Donggangxi Road No. 1, Lanzhou, 730000, China.
Eur J Med Res. 2025 Mar 13;30(1):165. doi: 10.1186/s40001-025-02421-w.
Microvascular invasion (MVI) represents a pivotal independent prognostic factor for the recurrence of hepatocellular carcinoma (HCC) after surgery. It contributes to early intervention for potentially recurrent HCC to enhance patient outcomes and increase survival rates. Traditionally, the diagnosis of MVI has relied on postoperative pathological analysis, and accurate preoperative detection methodologies are lacking. Recent research suggests that multi-omics strategies play a role in definitively diagnosing MVI before surgery and offering personalized selection for clinical decision-making in HCC management. This review meticulously examines a multi-omics approach for the preoperative prediction of MVI in HCC patients, aiming to innovate diagnostic paradigms to anticipate postsurgical recurrence, thereby facilitating earlier and more personalized therapeutic strategies.
微血管侵犯（MVI）是肝细胞癌（HCC）术后复发的关键独立预后因素。它有助于对潜在复发的HCC进行早期干预，以改善患者预后并提高生存率。传统上，MVI的诊断依赖于术后病理分析，缺乏准确的术前检测方法。最近的研究表明，多组学策略在术前明确诊断MVI以及为HCC治疗的临床决策提供个性化选择方面发挥着作用。本综述精心研究了一种用于术前预测HCC患者MVI的多组学方法，旨在创新诊断模式以预测术后复发，从而促进更早、更个性化的治疗策略。
