Co-expression of CDX2 and CK20 in hepatocellular carcinoma, an exceedingly rare co-incidence with potential diagnostic pitfall—reply

Prognostic Biomarkers for Hepatocellular Carcinoma Based on Serine and Glycine Metabolism-related Genes

Background and Aims

Targeted therapy and immunotherapy have emerged as treatment options for hepatocellular carcinoma (HCC) in recent years. The significance of serine and glycine metabolism in various cancers is widely acknowledged. This study aims to investigate their correlation with the prognosis and tumor immune microenvironment (TIME) of HCC.

Methods

Based on the public database, different subtypes were identified by cluster analysis, and the prognostic model was constructed through regression analysis. The gene expression omnibus (GEO) data set was used as the validation set to verify the performance of the model. The survival curve evaluated prognostic ability. CIBERSORT was used to evaluate the level of immune cell infiltration, and maftools analyzed the mutations. DsigDB screened small molecule compounds related to prognostic genes.

Results

HCC was found to have two distinct subtypes. Subsequently, we constructed a risk score prognostic model through regression analysis based on serine and glycine metabolism-related genes (SGMGs). A nomogram was constructed based on risk scores and other clinical factors. HCC patients with a higher risk score showed a poor prognosis, and there were significant differences in immune cell infiltration between the high- and low-risk groups. In addition, three potential drugs associated with prognostic genes, streptozocin, norfloxacin, and hydrocotarnine, were identified.

Conclusions

This study investigated the expression patterns of SGMGs and their relationship with tumor characteristics, resulting in the development of a novel model for predicting the prognosis of HCC patients. The study provides a reference for clinical prognosis prediction and treatment of HCC patients.

Mimics of hepatocellular carcinoma: a review and an approach to avoiding histopathological diagnostic missteps

Hepatocellular carcinoma (HCC) is one of the commonest carcinomas and leading causes of cancer-related death. Although, in patients with cirrhosis, radiologic diagnosis has improved significantly over the years, needle biopsy and histopathological assessment remains an important diagnostic modality. Most importantly, histopathological diagnosis is essential in patients with contending extrahepatic primaries, those with no known HCC risk factors, patients with ambiguous radiological features, and many other clinical contexts. Helpful features such as high serum alpha-fetoprotein (AFP) serologies are known to be present in many other tumor (including but not only HCC) and nontumor contexts and therefore not only lack sufficient diagnostic specificity for HCC but also create the potential to overlook non-HCC AFP-producing tumors, of which there are many. Therefore, using clinical examples and other examples from the medical literature, this review discusses several clinical and histological mimics of HCC and proffers an approach for practicing pathologists geared toward avoiding missteps.