| Literature DB >> 34294938 |
Salvatore Lorenzo Renne1,2, Samantha Sarcognato3,4, Diana Sacchi3, Maria Guido3,4, Massimo Roncalli1,2, Luigi Terracciano1,2, Luca Di Tommaso1,2.
Abstract
HCC incidence rates have been rising in the past 3 decades and by 2025 > 1 million individuals will be affected annually. High-throughput sequencing technologies led to the identification of several molecular HCC subclasses that can be broadly grouped into 2 major subgroups, each characterized by specific morphological and phenotypical features. It is likely that this increasing knowledge and a more appropriate characterization of HCC at the pathological level will impact HCC patient management.Entities:
Keywords: angiogenesis; diagnosis; hepatocellular carcinoma; prognosis; tumor microenvironment
Year: 2021 PMID: 34294938 PMCID: PMC8299323 DOI: 10.32074/1591-951X-295
Source DB: PubMed Journal: Pathologica ISSN: 0031-2983
Summary of the main pathological features of distinction between HGDN vs eHCC.
| Features | HGDN | eHCC | Discriminatory value |
|---|---|---|---|
| Portal tract | + | ± | Low |
| Cell density | + (up to 1.5-2) | + (x 2 or more) | |
| Pseudoglands | |||
| Nuclear Atypia | + | ||
| Steatosis | - | ||
| Unpaired arteries | + | Medium | |
| Reticulin loss/decrease | |||
| TERT promoter mutation | + | ||
| Stromal invasion | - | ± | High |
| 2 markers staining out of 3 | - | ± |
Figure 1.Classification of HCC. This scheme illustrates the correlations existing among molecular classes of HCC [50,51,53] and genetic, morphological and clinical features.
Sensitivity of markers used to demonstrate HCC in a liver lesion.
| Marker | All HCC, sensitivity:
| All HCC, sensitivity:
| G3 HCC, sensitivity |
|---|---|---|---|
| 84% | 70% | 22-78% | |
| 96% | 84% | 44-89% | |
| 90% | - | 78% | |
| 81% | 45% | 78% | |
| 74% | 50% | 67% | |
| 54% | - | 67% |