CAMTA1-immunonegative epithelioid hemangioendotheliomas of the liver: a clinicopathological and molecular analysis of seven cases.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2025-02-18 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1478036
Yang Nie, Wenyi Jing, Xuanxuan Zheng, Xin He, Min Chen, Hongying Zhang
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Abstract

Background: Epithelioid hemangioendothelioma (EHE) is a rare malignant vascular tumor. Most EHEs (>90%) cases harbor WWTR1::CAMTA1 fusion gene, and CAMTA1 immunohistochemistry (IHC) is a highly sensitive and specific tool for EHE diagnosis. However, there exist CAMTA1-immunonegative cases, the majority of which harbor YAP1::TFE3 fusion, with a few cases having more rare fusions. Liver is one of the most common sites of EHE, where the CAMTA1 subtype dominates, and the other variants are extremely rare. Hence, we focused on the hepatic CAMTA1-immunonegative EHEs to analyze the clinicopathological and molecular features of these peculiar cases.

Methods: The SNOMED search of the hospital pathology files between January 2016 to November 2023 identified 57 hepatic EHEs and 7 cases were CAMTA1-immunonegative. Fluorescence in situ hybridization (FISH), next generation sequencing (NGS) and Sanger sequencing were performed to identify the genetic change of the 7 cases.

Results: This series included 3 females and 4 males, aged from 33 to 64 years. All the 7 cases were negative for CAMTA1 IHC. Four cases were positive for TFE3 IHC and exhibited YAP1::TFE3 fusion. Another 3 cases were also negative for TFE3, while WWTR1::CAMTA1 fusion were detected by NGS in 1 case and demonstrated by FISH in all the 3 cases. Morphologically, among the 4 TFE3 rearrangement cases, 3 cases showed the TFE3-sutype morphologic appearance, while the histology of 1 case was similar to that of CAMTA1- subtype. In the 3 CAMTA1-rearranged lesions, 2 cases had classic EHE morphology, and 1 case exhibited atypical histology, with higher atypia and well-formed vessels. Surgical resection was performed on five cases and two cases were biopsied and received chemotherapy. Follow-up information was available in 6 patients (median 46 months), including 4 patients were alive without disease and 2 patients were alive with disease.

Conclusion: Our study reported 7 CAMTA1-immunonegative hepatic EHEs and most of them were TFE3-rearranged EHEs with morphology variation. Moreover, there does exist the CAMTA1-immunonegative but CAMTA1-rearranged EHE cases. Therefore, the diagnosis of EHE should be based on morphology, combined with CAMTA1 and TFE3 IHC, and if necessary, supplemented by genetic analysis including FISH and NGS, to establish correct diagnosis.

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7例肝脏camta1免疫阴性上皮样血管内皮瘤的临床病理及分子分析
背景:上皮样血管内皮瘤(EHE)是一种罕见的恶性血管肿瘤。大多数EHE病例(约90%)携带WWTR1::CAMTA1融合基因,CAMTA1免疫组化(IHC)是诊断EHE的高灵敏度和特异性工具。但也有camta1免疫阴性的病例,多数存在YAP1::TFE3融合,少数病例较为罕见。肝脏是EHE最常见的部位之一,CAMTA1亚型占主导地位,其他变体极为罕见。因此,我们以肝脏camta1免疫阴性EHEs为研究对象,分析这些特殊病例的临床病理和分子特征。方法:对2016年1月至2023年11月我院病理档案进行SNOMED检索,发现57例肝脏EHEs, 7例camta1免疫阴性。采用荧光原位杂交(FISH)、下一代测序(NGS)和Sanger测序对7例患者的基因变化进行鉴定。结果:女性3例,男性4例,年龄33 ~ 64岁。7例CAMTA1 IHC均为阴性。4例TFE3免疫组化阳性,表现为YAP1::TFE3融合。3例TFE3阴性,1例NGS检测到WWTR1::CAMTA1融合,3例FISH均证实。形态学上,4例TFE3重排病例中,3例表现为TFE3亚型的形态外观,1例的组织学与CAMTA1-亚型相似。在3例camta1重排病变中,2例为典型EHE形态,1例为非典型组织学,非典型性较高,血管形态良好。手术切除5例,活检及化疗2例。随访6例(中位46个月),其中4例无病生存,2例有病生存。结论:本研究报告了7例camta1免疫阴性的肝脏ehe,多数为tfe3重排ehe,且形态学有差异。此外,也存在camta1免疫阴性但camta1重排的EHE病例。因此,诊断EHE应以形态学为基础,结合CAMTA1和TFE3免疫组化,必要时辅以FISH、NGS等遗传分析,以建立正确的诊断。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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