8432 results for "canc*"

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• Single-Cell Multiomic and Whole-Genome Profiling of Primary and Metastatic Colorectal Cancer

  This study contains controlled-access single-cell multiomic sequencing (scRNA-seq and scATAC-seq) data generated from patients with colorectal cancer, including 33 primary tumours, 11 metastatic lesions, and 7 adjacent normal tissue samples. Whole-genome sequencing (WGS) data are available for the tumour samples. These data were generated to investigate the genomic and epigenomic landscape of colorectal cancer and to identify recurrent regulatory alterations associated with tumour progression and metastasis.

  Study EGAS50000002048

• Weizmann Breast Cancer Epigenetics Data Access Committee

  Data Access Committee responsible for reviewing requests for controlled access to human sequencing data generated in the study "Epigenetic Heterogeneity in Breast Tumors with Implications for Disease Diagnosis and Monitoring".

  Dac EGAC50000001136

• Committee of human data related to Livanova et al. paper submission

  This DAC controls access to single-cell multiomic (scRNA-seq and scATAC-seq) and matched whole-genome sequencing (WGS) data generated from colorectal cancer patient samples, including 33 primary tumours, 11 metastatic lesions, 7 adjacent normal tissues. The data were generated to investigate recurrent somatic chromatin accessibility alterations (SCAAs) associated with tumour progression and metastasis

  Dac EGAC50000001117

• UNICORN Visium HD spatial transcriptomics of colorectal cancer

  This controlled-access dataset contains raw paired-end sequencing data generated from 56 human colorectal cancer tissue samples using the 10x Genomics Visium HD spatial gene expression workflow. The dataset comprises 324 paired-end sequencing runs represented by 648 FASTQ files. Libraries were sequenced on an Illumina platform and are intended for spatial transcriptomic analysis of the colorectal cancer tissue microenvironment.

  Dataset EGAD50000002908

• Transcriptome Sequencing Data of High Grade Serous Ovarian Cancer

  Study EGAS00001004714

• Long-read whole genome sequencing of gastric cancer

  Gastric cancer (GC) remains a significant health challenge globally, with a particularly high incidence in Asia, including Singapore. Understanding the genomic landscape of normal gastric and the different GC subtypes along with its precursor lesions such as intestinal metaplasia (IM) as well as GC metastatic sites is crucial for advancing diagnostics, prognostics, and therapeutics. Long-read sequencing technologies offer an opportunity to delve deeper into the genomic and epigenetic alterations underlying these conditions and to complement existing short-read omics data. By integrating these data with previously generated in-house multi-omics data (such as RNA sequencing and whole exome sequencing), we hope to better elucidate the molecular mechanism underlying GC initiation and progression.

  Study EGAS50000001607

• NoSarC -- Norwegian Sarcoma Consortium. Towards individualized therapy for orphan cancer.

  This study is initiated and conducted by the Norwegian Sarcoma Consortium - a collaboration between 5 Norwegian hospitals and universities, coordinated by Oslo University Hospital. The NoSarC project was initiated in 2014 and aimed to perform molecular characterization of samples from a national, population-based cohort of sarcoma patients, to identify tumors which are sensitive to therapies already developed and approved for more common cancers. The NoSarC cohort in this study consists of Tumor-Normal pairs from 287 subjects that has been Whole Exome Sequenced.

  Study EGAS50000002163

• Recommended Text: Plasma cfChIP-seq profiling of cell-free nucleosomes in Small-Cell Lung Cancer and neuroendocrine carcinomas

  This dataset contains raw, encrypted Crypt4GH paired-end Fastq files from cell-free chromatin immunoprecipitation sequencing (cfChIP-seq) targeting histone modification H3K4me3 in plasma samples. The cohort includes small-cell lung cancer (SCLC) cases, neuroendocrine carcinomas (NEC) and non-small-cell lung cancer (NSCLC) samples. Access is restricted exclusively to non-commercial, duplicate-prevention SCLC research protocols approved by the Data Access Committee.

  Dataset EGAD50000002783

• Integrating transcriptional regulatory networks with chromatin accessibility as markers of survival outcome and drug response in triple-negative breast cancer

  Patients with triple-negative breast cancer (TNBC), a highly aggressive and heterogeneous breast cancer subtype, have limited effective targeted therapy options and frequently develop resistance to chemotherapy. Transcription regulators (TRs) guided precision medicine, namely anti-estrogen receptor therapy, has proven successful in hormone-dependent breast cancer, but remains a challenge in TNBC. Here, we identified key TRs underlying TNBC identity by combining a transcriptional interaction network with chromatin accessibility and defined TR activity score metrics. We show that the activity scores of these TRs independently discriminate patient outcome across different clinical endpoints. Matching TR activity scores to drug sensitivity identified drug-TR pairs across independent datasets, including NFE2L3 and CBFB activity associated with sensitivity to mTOR inhibition, which we validated using a cohort of TNBC patient-derived xenografts. Collectively, we present methodology to promote TR-guided precision medicine that captures inter-tumor heterogeneity in TNBC and nominates drug sensitivities according to TR activity scores inferred from expression and chromatin accessibility data.

  Study EGAS50000001691

• METABRIC miRNA landscape

  MicroRNAs (miRNAs) are key players in cancer pathogenesis1. They display differential expression across breast cancer subtypes, and play oncogenic and tumor-suppressive roles2-6. A systematic study of the global miRNA landscape in breast cancer and the factors shaping it has not been undertaken. Here we report the results of profiling miRNA expression in 1,302 breast tumors with detailed clinical annotation and long-term follow-up, and for which matching genomic and mRNA expression data were available7. This provides a comprehensive view of the quantity, distribution and variation of the miRNA population and dissects how much genomic, transcriptional and post-transcriptional events contribute to miRNA expression architecture. The key clinical parameters and cellular pathways related to the miRNA landscape are identified, exemplified by context-dependent interaction with cell adhesion and Wnt signaling. Strikingly, in breast cancer miRNAs appear to act as modulators of mRNA-mRNA interactions rather than molecular switches. We demonstrate an important modulatory role for miRNAs in the biology of breast tumors devoid of somatic copy number aberrations, a common subtype where immune response is prominent. Remarkably, prognostic miRNA signatures derived in this subtype are consistently prognostic across several other subtypes and validate in external cohorts. These findings represent a new framework to study the biology of miRNA in human cancer.

  Study EGAS00000000122