{"title":"Advances in Hepatocellular Carcinoma: Molecular Insights, Histologic Subtypes, and Differential Diagnosis.","authors":"Wei Zheng, Yulin Haw, Hanlin L Wang","doi":"10.1097/PAP.0000000000000501","DOIUrl":null,"url":null,"abstract":"<p><p>Significant advancements over the past 2 decades have reshaped our understanding and diagnostic capabilities for hepatocellular carcinoma (HCC). These advancements span molecular insights into key driver gene mutations and chromosomal aberrations, refined recognition of distinct histologic subtypes, improved differentiation from precursor and benign hepatic lesions, and enhanced strategies for interpreting challenging biopsy samples. The discovery of driver mutations such as TERT promoter, CTNNB1, and TP53, along with chromosomal alterations, has provided essential tools for identifying malignancy and understanding tumor behavior. Concurrently, the recognition of distinct morphomolecular HCC subtypes has underscored the importance of integrating histologic and molecular findings for accurate diagnosis and prognostic assessment. In addition, differentiating HCC from dysplastic nodule and hepatocellular adenoma remains a diagnostic challenge, often requiring a combination of morphologic, immunohistochemical, and molecular approaches. Moreover, the interpretation of biopsy samples from borderline hepatocellular neoplasms highlights the limitations of conventional pathology alone and the need for comprehensive diagnostic strategies. This review aims to provide an updated overview of these interconnected aspects, emphasizing their collective role in advancing the precision diagnosis of HCC.</p>","PeriodicalId":7305,"journal":{"name":"Advances In Anatomic Pathology","volume":" ","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances In Anatomic Pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/PAP.0000000000000501","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Significant advancements over the past 2 decades have reshaped our understanding and diagnostic capabilities for hepatocellular carcinoma (HCC). These advancements span molecular insights into key driver gene mutations and chromosomal aberrations, refined recognition of distinct histologic subtypes, improved differentiation from precursor and benign hepatic lesions, and enhanced strategies for interpreting challenging biopsy samples. The discovery of driver mutations such as TERT promoter, CTNNB1, and TP53, along with chromosomal alterations, has provided essential tools for identifying malignancy and understanding tumor behavior. Concurrently, the recognition of distinct morphomolecular HCC subtypes has underscored the importance of integrating histologic and molecular findings for accurate diagnosis and prognostic assessment. In addition, differentiating HCC from dysplastic nodule and hepatocellular adenoma remains a diagnostic challenge, often requiring a combination of morphologic, immunohistochemical, and molecular approaches. Moreover, the interpretation of biopsy samples from borderline hepatocellular neoplasms highlights the limitations of conventional pathology alone and the need for comprehensive diagnostic strategies. This review aims to provide an updated overview of these interconnected aspects, emphasizing their collective role in advancing the precision diagnosis of HCC.
期刊介绍:
Advances in Anatomic Pathology provides targeted coverage of the key developments in anatomic and surgical pathology. It covers subjects ranging from basic morphology to the most advanced molecular biology techniques. The journal selects and efficiently communicates the most important information from recent world literature and offers invaluable assistance in managing the increasing flow of information in pathology.