High FLT3 Levels May Predict Sorafenib Benefit in Hepatocellular Carcinoma

索拉非尼 肝细胞癌 医学 肿瘤科 内科学 比例危险模型 生物标志物 酪氨酸激酶抑制剂 癌症研究 癌症 生物 生物化学
作者
Wen Sun,Shichao Li,Li Xu,Wei Zhong,Zhenguang Wang,Chuzhi Pan,Jing Li,Guang‐Zhi Jin,Na Ta,Wei Dong,Dan Liu,Hui Liu,Hongyang Wang,Jin Ding
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:26 (16): 4302-4312 被引量:21
标识
DOI:10.1158/1078-0432.ccr-19-1858
摘要

Abstract Purpose: To identify a predictive biomarker of sorafenib for hepatocellular carcinoma personalized therapy. Experimental Design: The patients treated with or without sorafenib after hepatocellular carcinoma recurrence from multicenters were matched with propensity score matching analysis. The expression levels of Fms-like tyrosine kinase 3 (FLT3) in hepatocellular carcinoma specimens of the matched patients (n = 276) were analyzed by IHC. The optimal cut-off point of FLT3 levels for overall survival (OS) was defined via Cutoff Finder. Subgroup analysis of OS was employed to investigate the association between FLT3 levels and sorafenib benefit. The predictive value was assessed via Cox regression models with an interaction term. Hepatocellular carcinoma and paratumoral normal tissues were used to investigate the expression and copy-number variation of FLT3. Patient-derived xenograft (PDX) models were used to confirm the association between FLT3 levels and sorafenib response. Results: Patients with FLT3-high hepatocellular carcinoma exhibited a superior OS upon sorafenib treatment. High FLT3 levels were predictive of sorafenib benefit in terms of OS (Pinteraction = 0.00006). Copy-number losses and decreased expression of FLT3 in hepatocellular carcinoma were detected in about 64% of patients. Moreover, the PDXs derived from tumors with high FLT3 levels also displayed a better response to sorafenib. Conclusions: Sorafenib may be able to delay tumor progression in patients with FLT3-high hepatocellular carcinoma. This potential biomarker needs to be further validated in independent cohorts prior to helping stratify patients for precision therapy in advanced hepatocellular carcinoma.
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