Project description:This work utilized Arraystar Human tRF&tiRNA sequencing technology to conduct a thorough investigation of tsRNA expression profiles. The objective was to identify and assess the potential of tsRNAs as early diagnostic indicators for HCC. Effectively identifying a specific set of tsRNAs that displayed distinct expression patterns in Barcelona Clinic Liver Cancer (BCLC) 0/A stage HCC tissues in comparison to normal liver tissues.
Project description:Hepatocellular carcinoma (HCC) accounts for approximately 90% of primary liver cancers, the second leading cause of cancer mortality worldwide. Although HCC surgical treatment may be curative in the early stages, its five-year overall survival is only 50-70%. Advances in proteomic technologies have expanded the breadth and depth of cancer proteome characterization. Here, we present the largest characterization effort on proteomic profiling of 222 tumor and paired non-tumor tissues in clinically early HCC (Barcelona Clinic Liver Cancer (BCLC) stage 0 and A). Quantitative proteomic data identified three more-refined subtypes in the early- stage cohort of HCC (termed S-I, S-II and S-III) with different clinical outcomes. S-I retained hepatic detoxification and metabolic functions with the best prognosis, S-II increased molecular expression related to proliferation, and S-III showed distinct enrichment of tumor metastasis and immune response pathways and the poorest prognosis. The subtype specific signatures targeted by known FDA approved drugs or inhibitors under clinical investigations for HCC provide a novel resource for HCC therapeutic targets. A new mechanism of disrupted cholesterol homeostasis with aberrant accumulation of cholesteryl esters was also highlighted in S-III. Thus, this study represents the first proteomic stratification of early-stage HCC, providing insights into tumor biology and personalized targeted therapy.
Project description:Recently, long noncoding rnas (lncRNAs) have been shown to have key roles in the development and prgression of hepatocellular carcinoma (HCC). However, the mechanism that contributes to the HCC biology is unknown, especially at the early and middle stages. In this study, we comprehensively investigaged lnRNAs and mRNAs expression in HCC. We found three significant lnRNAs for diagostic markers in HCC at early stage.
Project description:Hepatocellular carcinoma (HCC) accounts for approximately 90% of primary liver cancers, the second leading cause of cancer mortality worldwide. Although HCC surgical treatment may be curative in the early stages, its five-year overall survival is only 50-70%. Advances in proteomic technologies have expanded the breadth and depth of cancer proteome characterization. Here, we present the largest characterization effort on proteomic profiling of 222 tumor and paired non-tumor tissues in clinically early HCC (Barcelona Clinic Liver Cancer (BCLC) stage 0 and A). Quantitative proteomic data identified three more-refined subtypes in the early- stage cohort of HCC (termed S-I, S-II and S-III) with different clinical outcomes. S-I retained hepatic detoxification and metabolic functions with the best prognosis, S-II increased molecular expression related to proliferation, and S-III showed distinct enrichment of tumor metastasis and immune response pathways and the poorest prognosis. The subtype specific signatures targeted by known FDA approved drugs or inhibitors under clinical investigations for HCC provide a novel resource for HCC therapeutic targets. A new mechanism of disrupted cholesterol homeostasis with aberrant accumulation of cholesteryl esters was also highlighted in S-III. Thus, this study represents the first proteomic stratification of early-stage HCC, providing insights into tumor biology and personalized targeted therapy.
Project description:The DNA methylation value in early-stage hepatocellular carcinoma was undetermined. The Illumina Infinium 450k Human DNA methylation Beadchip was used to identify recurrence-related abbrent CpG methylation.
Project description:The DNA methylation value in early-stage hepatocellular carcinoma was undetermined. The Illumina Infinium 450k Human DNA methylation Beadchip was used to identify recurrence-related abbrent CpG methylation. This study was performed in a total of 66 early-stage HCC samples, including 29 recurrence samples and 37 recurrence-free samples
Project description:A total of 180 Hepatocellular carcinoma (HCC) and 125 adjacent normal samples were examined. Genome-wide DNA methylation profiling was done with Illumina HumanMethylation850 Beadchip of approximately 850,000 CpG sites. Aims: To identify HCC-specific methylation based biomarkers which are suitable for liquid biopsy.
Project description:Increasing evidences indicate diet-induced metabolic disorder could be paternally inherited, but the exact sperm epigenetic carrier remains unclear. Here, in a paternal high-fat diet (HFD) mouse model, we revealed that a highly enriched subset of sperm small RNAs (30-34 nt) that derived from the 5â halves of tRNAs (tsRNAs), exhibit changes in both expression profiles and RNA modifications. Injection of sperm tsRNAs from HFD male but not synthetic tsRNAs lacking RNA modifications, into normal zygotes generated metabolic disorders in the F1 offspring. Injection of HFD sperm tsRNAs derails gene expression in both early embryos and islets of F1 offspring, enriched in metabolic pathways, but unrelated to DNA methylation at CpG-enriched region. Collectively, we uncover sperm tsRNAs as a type of âepigenetic carrierâ that mediate intergenerational inheritance of acquired traits. Mature sperm small-RNA profiles between High-fat-diet (HFD) and Normal-diet (ND) males; Transcriptional profiles of 8-cell embryos and balstocysts that developed from zygotes that injected with sperm RNAs from HFD vs ND males. Transcriptional profiles and RRBS profiles of islets of F1 offsrping that generated from zygotes that injected with sperm RNAs from HFD vs ND males.
Project description:Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, and is the one of the few cancers in which a continued increase in incidence has been observed over several years. HCC associated with chronic liver disease evolves from precancerous lesion and early HCC to overt cancer, and identifying key molecules contributing to early stage HCC is an urgent need. We aim to determine transcriptome-based molecular signature of multistep hepatocarcinogenesis, and to identify novel biomarkers to diagnose and predict early stage HCC.