Previously, we advocated the importance of classifying hepatocellular carcinoma (HCC) based on physiological functions. This study aims to classify HCC by focusing on liver-intrinsic metabolism and gl Show more
Previously, we advocated the importance of classifying hepatocellular carcinoma (HCC) based on physiological functions. This study aims to classify HCC by focusing on liver-intrinsic metabolism and glycolytic pathway in cancer cells. Comprehensive RNA/DNA sequencing, immunohistochemistry, and radiological evaluations were performed on HCC tissues from the training cohort (n=136) and validated in 916 public samples. HCC was classified using hierarchical clustering and compared with previous molecular, histopathological, and hemodynamic classifications. Liver-specific metabolism and glycolysis are mutually exclusive and were divided into two major subclasses: The "rich metabolism" subclass (60.3%) is characterized by enhanced bile acid and fatty acid metabolism, wellto-moderate differentiation, microtrabecular or pseudoglandular pattern, and homogeneous arterial-phase hyperenhancement (APHE), corresponding to Hoshida S3 with favorable prognosis. In IL6-JAK-STAT3-high (25.0%) conditions, upregulated ALB expression, enhanced gluconeogenesis and urea cycle activity, and an inflammatorymicroenvironment are observed. Conversely, the Wnt/β-catenin-high environment (19.9%) features elevated GLUL, APOB and CYP3A4 expression, frequent CTNNB1 (D32-S37) mutations, and an immune-desert/excluded phenotype. The "glycolysis" subclass (39.7%), characterized by histopathological dedifferentiation and downregulated liver-specific metabolism, encompasses subclasses with PI3K/mTOR (20.6%) and NOTCH/TGF-β (19.1%) signaling. These often exhibit TP53 mutations, macrotrabecular massive or compact patterns, inhomogeneous/rim-APHE, and high expression of hypoxia-inducible factors and glucose transporters, corresponding to Hoshida S1/2 with poor prognosis. The loss of liver-specific metabolism correlates with morphological dedifferentiation, indicating cellular dedifferentiation may exhibit both physiological and pathological duality. Key signaling pathways involved in the maturation process from fetal to adult liver and zonation program may play a critical role in defining HCC diversity. Show less
Cardiac fibrosis drives dysfunction in dilated cardiomyopathy (DCM); yet, effective therapies are limited. This study identifies FGFR1 as a critical target in cardiac fibrosis using transcriptomic and Show more
Cardiac fibrosis drives dysfunction in dilated cardiomyopathy (DCM); yet, effective therapies are limited. This study identifies FGFR1 as a critical target in cardiac fibrosis using transcriptomic and histological analyses of 58 human DCM biopsies. FGFR1 expression correlated with fibrosis severity, and inhibition by AZD4547 reduced fibrosis and improved cardiac function in organoid and murine models. These findings validate FGFR1 inhibition as a promising therapeutic strategy for mitigating fibrosis and improving outcomes in heart failure associated with DCM. Show less
The detection of circulating tumor cells (CTCs) using immunoaffinity-based methods often relies on epithelial-related markers, which may bias the selection of CTCs and limit the biological information Show more
The detection of circulating tumor cells (CTCs) using immunoaffinity-based methods often relies on epithelial-related markers, which may bias the selection of CTCs and limit the biological information obtained, depending on the targeted antigens. Herein, we compared the molecular profiles and clinical significance of CTCs based on the expression of epithelial-related markers ( Show less
Immunotherapy is becoming a promising approach for unresectable-hepatocellular carcinoma (HCC); the anti-tumor response is affected by the tumor microenvironment (TME). Although Wnt/β-catenin mutation Show more
Immunotherapy is becoming a promising approach for unresectable-hepatocellular carcinoma (HCC); the anti-tumor response is affected by the tumor microenvironment (TME). Although Wnt/β-catenin mutations are reported to cause non-inflamed phenotype, their role on TME remains controversial. We aimed to clarify the heterogeneity of immunophenotype in HCC with Wnt/β-catenin mutations. This study includes 152 resected HCCs; mutations in the Forty of 152 (26.3%) HCCs carried the Wnt/β-catenin mutations. Of these, 33 were classified as non-inflamed (33/40, 82.5%) and 7 as inflamed (7/40, 17.5%). Non-inflamed class was characterized by low number of CD3+, CD4+, and CD8+ cells on immunostaining, and high mRNA expressions of Heterogeneity of tumor traits and TME was observed in HCC with Wnt/β-catenin mutation. The potential was indicated that tumor traits and TME are determined not only by the activation of the Show less
Human papillomavirus (HPV)-positive head and neck squamous cell carcinoma (HNSCC) differs in terms of cellular and molecular biological characteristics from HPV-negative HNSCC. However, differences in Show more
Human papillomavirus (HPV)-positive head and neck squamous cell carcinoma (HNSCC) differs in terms of cellular and molecular biological characteristics from HPV-negative HNSCC. However, differences in circulating tumor cells (CTCs) between HPV-positive and -negative HNSCC remain unclear. We first analyzed eight epithelial-mesenchymal transition (EMT)-related genes (VIM, CDH1, CDH2, SNAI1, SNAI2, TWIST1, ZEB1, and ZEB2) using The Cancer Genome Atlas (TCGA) database. Next, we isolated CTCs from patients with HNSCC using CD45-negative selection and expression analysis of epithelial-related genes (EPCAM, EGFR, and MET) by RT-qPCR. CTC-positive samples were further analyzed for EMT-related genes. In addition, we investigated the proportion of circulating T cell subsets and CD38+ T cells using flow cytometry and their involvement in CTCs. Compared with HPV-negative HNSCC, expression of CDH1, SNAI1, SNAI2, TWIST1, and ZEB1 was downregulated in HPV-positive HNSCC, as determined by TCGA analysis. CTCs were detected in 19 (52.8Â %) of 36 HPV-positive and 26 (68.4Â %) of 38 HPV-negative patients with HNSCC. EPCAM-positive and MET-positive CTCs were significantly more frequent in patients with HPV-negative HNSCC. HPV-positive patients with HNSCC exhibited significantly high SNAI1 and ZEB2 expression in CTCs. Interestingly, differences in SNAI1 expression levels differed markedly between CTCs and TCGA based on HPV status. Moreover, HPV-positive patients with HNSCC exhibiting SNAI1-high CTCs showed a superior prognosis and a lower proportion of CD38+ T cells than those with SNAI1-low CTCs. Our results provide novel insights into the EMT-MET spectrum of CTCs and may contribute to the development of prognostic biomarkers for HPV-positive HNSCC. Show less
17β-hydroxysteroid dehydrogenase type 3 (HSD17B3) converts androstenedione (A4) into testosterone (T), which regulates sex steroid production. Because various mutations of the HSD17B3 gene cause disor Show more
17β-hydroxysteroid dehydrogenase type 3 (HSD17B3) converts androstenedione (A4) into testosterone (T), which regulates sex steroid production. Because various mutations of the HSD17B3 gene cause disorder of sex differentiation (DSD) in multiple mammalian species, it is very important to reveal the molecular characteristics of this gene in various species. Here, we revealed the open reading frame of the ovine HSD17B3 gene. Enzymatic activities of ovine HSD17B3 and HSD17B1 for converting A4 to T were detected using ovine androgen receptor-mediated transactivation in reporter assays. Although HSD17B3 also converted estrone to estradiol, this activity was much weaker than those of HSD17B1. Although ovine HSD17B3 has an amino acid sequence that is conserved compared with other mammalian species, it possesses two amino acid substitutions that are consistent with the reported variants of human HSD17B3. Substitutions of these amino acids in ovine HSD17B3 for those in human did not affect the enzymatic activities. However, enzymatic activities declined upon missense mutations of the HSD17B3 gene associated with 46,XY DSD, affecting amino acids that are conserved between these two species. The present study provides basic information and tools to investigate the molecular mechanisms behind DSD not only in ovine, but also in various mammalian species. Show less
The emergence of immune checkpoint inhibitors (ICIs) has revolutionized the treatment of recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC). Biomarkers of the therapeutic efficac Show more
The emergence of immune checkpoint inhibitors (ICIs) has revolutionized the treatment of recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC). Biomarkers of the therapeutic efficacy of ICIs have been extensively investigated. In this study, we aimed to analyze whether molecular phenotypes of circulating tumor cells (CTCs) are associated with treatment responses and clinical outcomes in patients with R/M HNSCC treated with nivolumab. Peripheral blood samples were collected before treatment initiation and after four infusions of nivolumab. CTCs isolated by depletion of CD45-positive cells were analyzed to determine the expression of EPCAM, MET, KRT19, and EGFR using real-time quantitative polymerase chain reaction. CTC-positive samples were analyzed to determine the expression of PIK3CA, CCND1, SNAI1, VIM, ZEB2, CD44, NANOG, ALDH1A1, CD47, CD274, and PDCD1LG2. Of 30 patients treated with nivolumab, 28 (93.3%) were positive for CTCs. In 20 CTC-positive patients, molecular alterations in CTCs before and after nivolumab treatment were investigated. Patients with MET-positive CTCs had significantly shorter overall survival than those with MET-negative CTCs (pâ=â0.027). The expression level of CCND1 in CTCs of disease-controlled patients was significantly higher than that of disease-progressed patients (pâ=â0.034). In disease-controlled patients, the expression level of CCND1 in CTCs significantly decreased after nivolumab treatment (pâ=â0.043). The NANOG expression in CTCs was significantly increased in disease-controlled patients after nivolumab treatment (pâ=â0.036). Our findings suggest that the molecular profiling of CTCs is a promising tool to predict the treatment efficacy of nivolumab. Show less