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ABSTRACT:
PROVIDER: PRJEB19814 | ENA |
REPOSITORIES: ENA
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Project description:Background & Aims: The differentiation of distinct multifocal hepatocellular carcinoma (HCC): multicentric disease vs. intrahepatic metastases, in which the management and prognosis varies substantively, remains problematic. We aim to stratify multifocal HCC and identify novel diagnostic and prognostic biomarkers by performing whole genome and transcriptome sequencing, as part of a multi-omics strategy Methods: A complete collection of tumour and somatic specimens (intrahepatic HCC lesions, matched non-cancerous liver tissue and blood) were obtained from representative patientswith multifocal HCC exhibiting two distinct postsurgical courses. Whole-genome and transcriptome sequencing with genotyping were performed for each tissue specimen to con-trast genomic alterations, including hepatitis B virus integrations, somatic mutations, copy number variations, and structural variations. We then constructed a phylogenetic tree to visualise individual tumour evolution and performed functional enrichment analyses on select differentially expressed genes to elucidate biological processes involved in multifocal HCC development. Multi-omics data were integrated with detailed clinicopathological information to identify HCC biomarkers, which were further validated using a large cohort of HCC patients (n = 174).Results: The multi-omics pro?ling and tumour biomarkers could successfully distinguish the two multifocal HCC types, while accurately predicting clonality and aggressiveness. The dual speci?city protein kinase TTK, which is a key mitotic checkpoint regulator with links to p53 signaling, was further shown to be a promising overall prognostic marker for HCC in the large patient cohort.Conclusions: Comprehensive multi-omics characterisation of multifocal tumour evolution may improve clinical decision-making, facilitate personalised medicine, and expedite identi?cation of novel biomarkers and therapeutic targets in HCC.
| EGAS00001002338 | EGA
Project description:Background & Aims: The differentiation of distinct multifocal hepatocellular carcinoma (HCC): multicentric disease vs. intrahepatic metastases, in which the management and prognosis varies substantively, remains problematic. We aim to stratify multifocal HCC and identify novel diagnostic and prognostic biomarkers by performing whole genome and transcriptome sequencing, as part of a multi-omics strategy Methods: A complete collection of tumour and somatic specimens (intrahepatic HCC lesions, matched non-cancerous liver tissue and blood) were obtained from representative patientswith multifocal HCC exhibiting two distinct postsurgical courses. Whole-genome and transcriptome sequencing with genotyping were performed for each tissue specimen to con-trast genomic alterations, including hepatitis B virus integrations, somatic mutations, copy number variations, and structural variations. We then constructed a phylogenetic tree to visualise individual tumour evolution and performed functional enrichment analyses on select differentially expressed genes to elucidate biological processes involved in multifocal HCC development. Multi-omics data were integrated with detailed clinicopathological information to identify HCC biomarkers, which were further validated using a large cohort of HCC patients (n = 174).Results: The multi-omics profiling and tumour biomarkers could successfully distinguish the two multifocal HCC types, while accurately predicting clonality and aggressiveness. The dual specificity protein kinase TTK, which is a key mitotic checkpoint regulator with links to p53 signaling, was further shown to be a promising overall prognostic marker for HCC in the large patient cohort.Conclusions: Comprehensive multi-omics characterisation of multifocal tumour evolution may improve clinical decision-making, facilitate personalised medicine, and expedite identification of novel biomarkers and therapeutic targets in HCC.
| EGAS00001002337 | EGA
Project description:The differentiation of distinct multifocal hepatocellular carcinoma (HCC): multicentric disease vs. intrahepatic metastases, in which the management and prognosis varies substantively, remains problematic. We aim to stratify multifocal HCC and identify novel diagnostic and prognostic biomarkers by performing whole genome and transcriptome sequencing, as part of a multi-omics strategy.
| EGAD00001003348 | EGA
Project description:A significant proportion of breast cancer patients develop multiple synchronous unilateral breast tumors, also referred to as multifocal tumors, which represent a diagnostic and therapeutic challenge. Multifocality has been associated with a possible adverse patient outcome, propensity for axillary nodal involvement, and increased risk of local recurrence following breast conserving surgery when compared to unifocal tumors. Previous studies indicate that most lesions from multifocal tumors are concordant with regard to the currently used pathological parameters (histological subtype and grade, hormonal receptors and HER2 status). However, to our knowledge, no study has yet provided a detailed molecular analysis of multifocal breast cancer. Here, we aimed to better define the incidence of multifocal breast cancer using a systematic analysis of pathology reports of primary breast cancers and to compare different foci from 5 multifocal breast cancers in a global analysis using genomic, transcriptomic and epigenomic data. We demonstrate that multifocality is a frequent finding since it concerns 22% (945/4340) of breast cancer patients with primary ductal breast cancer. We find that different lesions from multifocal breast cancer can differ at the (epi)genomic and transcriptomic level even when the foci present similar histology, grading, hormonal and HER2 status despite having a common genetic background. Since the number of (epi)genetic alterations with potential clinical utility is rapidly growing due to increasing numbers of targeted therapies, these findings suggest that it might be necessary to interrogate the different lesions of multifocal breast cancers for adequate treatment management of these tumors. The biological characterization of multifocal breast cancer here is focused on 5 cancers for which the foci did not differ in terms of histological grade, hormonal receptors and HER2 status. The characterization of multifocal tumors involved the identification of somatic rearrangements in 2 foci from each patient via low-coverage whole genome sequencing. Putative rearrangements were amplified by polymerase chain reaction (PCR) and capillary sequenced in tumor and matching blood-derived germline DNA to validate the somatic rearrangements. For all patients, the presence of a number of validated rearrangements was assessed in different paraffin blocks of tumor-adjacent histologically normal tissue by nested PCR. We also performed transcriptomic and epigenomic profiling in 4 and 5 patients respectively using the HG-U133 Plus 2.0 Chips and Infinium Methylation 450K arrays (RNA was not available for patient E).
2018-12-21 | GSE39451 | GEO
Project description:Chronic postsurgical pain (CPSP), with a high prevalence and rising epidemic of opioids crisis, is typically derived from acute postoperative pain. Revealing the peripheral mechanisms behind the transition from acute to chronic pain after surgery is necessary. We established on two recognized animal models, the Lateral Paw Incision (LPI) model and the Skin/Muscle Incision and Retraction (SMIR) model, in simulation of acute and chronic postsurgical pain. The tissue of incisional skin, muscle and DRG at several time points are harvested and send for next-generation RNA sequencing (RNA-seq). Then the quality of sequencing results is validated. Our data could explain the time-course transcriptomic variation in the tissue of skin, muscle and DRG, and further to identify the potential origin and mechanism of CPSP.
2024-10-08 | GSE267799 | GEO
Project description:We sequenced DNA isolated from performing ChIP of full-length KLF6 and an Input sample in an HCC cell line. The goal is to determine KLF6 binding sites in a mouse-derived HCC cell line. Determination of KLF6 binding sites in an HCC cell line using 2 control input libraries and 2 KLF6-ChIP libraries
2016-01-27 | E-GEOD-54763 | biostudies-arrayexpress
Project description:Hepatocellular carcinoma (HCC) is a heterogeneous disease with a variety of etiological factors, and ranks as the second leading cause of cancer-related mortality worldwide due to multifocal recurrence. Comprehensive molecular evaluation of HCC by multiplatform analysis defined three major subtypes: (1) mitogenic and stem cell-like tumors with chromosomal instability; (2) CTNNB1-mutated tumors displaying DNA hypermethylation; and (3) metabolic syndrome-associated tumors, which included an immunogenic subgroup characterized by macrophage infiltration and favorable prognosis. Although genomic and epigenomic analysis explicitly discriminated HCC with intrahepatic metastasis (IM) from multicentric HCC (MC), the phenotypic similarity between the primary and recurrent tumors was not linked to the IM/MC diagnosis, but rather the integrated classification. Thus, identification of these HCC subtypes provides insights into patient stratification and opportunities for therapeutic development.
2019-01-03 | GSE113017 | GEO
Project description:Hepatocellular carcinoma (HCC) is a heterogeneous disease with a variety of etiological factors, and ranks as the second leading cause of cancer-related mortality worldwide due to multifocal recurrence. Comprehensive molecular evaluation of HCC by multiplatform analysis defined three major subtypes: (1) mitogenic and stem cell-like tumors with chromosomal instability; (2) CTNNB1-mutated tumors displaying DNA hypermethylation; and (3) metabolic syndrome-associated tumors, which included an immunogenic subgroup characterized by macrophage infiltration and favorable prognosis. Although genomic and epigenomic analysis explicitly discriminated HCC with intrahepatic metastasis (IM) from multicentric HCC (MC), the phenotypic similarity between the primary and recurrent tumors was not linked to the IM/MC diagnosis, but rather the integrated classification. Thus, identification of these HCC subtypes provides insights into patient stratification and opportunities for therapeutic development.
2019-01-03 | GSE113019 | GEO
Project description:Hepatocellular carcinoma (HCC) is a heterogeneous disease with a variety of etiological factors, and ranks as the second leading cause of cancer-related mortality worldwide due to multifocal recurrence. Comprehensive molecular evaluation of HCC by multiplatform analysis defined three major subtypes: (1) mitogenic and stem cell-like tumors with chromosomal instability; (2) CTNNB1-mutated tumors displaying DNA hypermethylation; and (3) metabolic syndrome-associated tumors, which included an immunogenic subgroup characterized by macrophage infiltration and favorable prognosis. Although genomic and epigenomic analysis explicitly discriminated HCC with intrahepatic metastasis (IM) from multicentric HCC (MC), the phenotypic similarity between the primary and recurrent tumors was not linked to the IM/MC diagnosis, but rather the integrated classification. Thus, identification of these HCC subtypes provides insights into patient stratification and opportunities for therapeutic development.
2019-01-03 | GSE112790 | GEO