Literature DB >> 31908112

Precision pathology analysis of the development and progression of hepatocellular carcinoma: Implication for precision diagnosis of hepatocellular carcinoma.

Akihisa Ueno1, Yohei Masugi1, Ken Yamazaki1, Yutaka Kurebayashi1, Hanako Tsujikawa1, Kathryn Effendi1, Hidenori Ojima1, Michiie Sakamoto1.   

Abstract

Outcomes for patients with hepatocellular carcinoma (HCC) remain poor because the condition is often unresponsive to the available treatments. Consequently, the early and precise diagnosis of HCC is crucial to achieve improvements in prognosis. For patients with chronic liver disease, the assessment of liver fibrosis is also important to ascertain both the staging of fibrosis and the risk of HCC occurrence. Early HCC was first described in 1991 in Japan and was defined internationally in 2009. As the concept of early HCC spread, the multistage hepatocarcinogenesis process became accepted. Consequently, improvements in imaging technology made the early diagnosis of HCC possible. At present, the most appropriate therapeutic strategy for HCC is determined using an integrated staging system that assesses the tumor burden, the degree of liver dysfunction and the patient performance status; however, pathological and molecular features are not taken into account. The recent introduction of several new therapeutic agents will change the treatment strategy for HCC. Against this background, HCC subclassification based on tumor cellular and microenvironmental characteristics will become increasingly important. In this review, we give an overview of how pathological analysis contributes to understanding the development and progression of HCC and establishing a precision diagnosis of HCC.
© 2020 Japanese Society of Pathology and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  HCC; computational pathology; early HCC; fibrous stroma; immune microenvironment; molecular diagnosis; molecular marker; molecular subclass; multistage hepatocarcinogenesis; patho-radiological correlation

Year:  2020        PMID: 31908112     DOI: 10.1111/pin.12895

Source DB:  PubMed          Journal:  Pathol Int        ISSN: 1320-5463            Impact factor:   2.534


  1 in total

1.  Limited Impact of Anti-PD-1/PD-L1 Monotherapy for Hepatocellular Carcinoma.

Authors:  Masatoshi Kudo
Journal:  Liver Cancer       Date:  2020-10-26       Impact factor: 11.740

  1 in total

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