8224 results for "canc*"

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• 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

• SCANDARE HNSCC

  Prospective biobanking study in SCANDARE HNSCC (Head and Neck Squamous Cell Carcinoma) patients aiming at better understand the link between the molecular alterations of the tumor itself, its microenvironment and immune response.

  Study EGAS50000001158

• Whole genome and transcriptome sequences of hepatocellular carcinoma in patients with Fontan-associated liver disease

  Most liver cancers develop as a result of long-term liver disease caused by viruses, drugs or metabolic disorders. Fontan-associated liver disease (FALD) is a rare condition whose prevalence is increasing. We therefore conducted a multi-omics analysis targeting liver cancer arising from liver damage caused by rare diseases, with a particular focus on FALD.

  Study JGAS000904

• DAC for RNAseq data associated with transcriptomic profiling of ER alpha positive breast cancer patients before and after endocrine therapy

  This Data Access Committee (DAC) oversees access to RNAseq data collected as part of a study focussed on exploring transcriptomic profiles of ER alpha positive breast cancer patients who were treated with aromatase inhibitors for up to three months before surgical removal of the primary tumor. Sampling was performed at diagnosis and at surgery, and RNA-seq was performed. The DAC ensures that data access requests comply with the study's ethical and legal frameworks and that data is shared for non-commercial, academic research purposes under controlled access to protect participant privacy.

  Dac EGAC50000000499

• Transcriptomics profiling of paired pre- and post- neo-adjuvant endocrine therapy of ERa positive breast cancers

  Patients were treated with aromatase inhibitors for up to three months before surgical removal of the primary tumor. Sampling was performed at diagnosis and at surgery, and RNA-seq was performed.

  Study EGAS50000000832

• Colossus Project Single-nuclei RNA sequencing

  Single-nuclei RNA sequencing of human colorectal cancer samples. Nuclei were isolated on ice, followed by single-nuclei RNA-sequencing library preparation using the Chromium Single Cell 3’ reagent kit v3.1 (10x Genomics, Pleasanton, CA) Fastq files, N=18

  Dataset EGAD50000003002

• Colossus Project Whole exome sequencing

  Whole exome sequencing of colorectal cancer samples from stage 2/3 human patients. Whole-genome DNA libraries were prepared with the KAPA HyperPlus kit (Roche, Cape Town, South Africa), and exome fragments were captured using the SureSelect Human All Exon V7 kit (Agilent, Hangzhou, China) Fastq files, N=88

  Dataset EGAD50000003003

• Colossus Project Bulk Tumor RNA sequencing

  Bulk RNA sequencing of colorectal cancer samples from stage 2/3 human patients. RNA extraction using Qiagen RNeasy FFPE Extraction kit (Qiagen, UK), followed by RNA sequencing library generation with the QuantSeq 3' mRNA-Seq Library Prep Kit (FWD) (Illumina, USA). Fastq files, N=295

  Dataset EGAD50000003004

• Colossus Project Whole Genome Sequencing

  Low-coverage whole genome sequencing of colorectal cancer samples from stage 2/3 human patients. Tumor DNA from biopsies was extracted using the QIAamp circulating nucleic acid kit (Qiagen, UK), followed by generation of shot-gun whole genome libraries using the KAPA library preparation kit (KAPA Biosystems). Fastq files, N=295

  Dataset EGAD50000003005