7794 results for "canc*"

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• Elevated circulating tumor cells reflect high proliferation and genomic complexity in multiple myeloma - WGS validation cohort

  This reposiroty contains bulk WGS data generated by Blood Cancer Research Group (Ostrava, Czech Republic) as a part of publication named "Elevated circulating tumor cells reflect high proliferation and genomic complexity in multiple myeloma" published in Hemapshere.

  Study EGAS50000001211

• Elevated circulating tumor cells reflect high proliferation and genomic complexity in multiple myeloma - RNA validation cohort

  This reposiroty contains bulk RNA data generated by Blood Cancer Research Group (Ostrava, Czech Republic) as a part of publication named "Elevated circulating tumor cells reflect high proliferation and genomic complexity in multiple myeloma" published in Hemapshere.

  Study EGAS50000001212

• Elevated circulating tumor cells reflect high proliferation and genomic complexity in multiple myeloma - WGS

  This reposiroty contains bulk WGS data generated by Blood Cancer Research Group (Ostrava, Czech Republic) as a part of publication named "Elevated circulating tumor cells reflect high proliferation and genomic complexity in multiple myeloma" published in Hemapshere. The dataset contains 11 tumor-normal sample pairs.

  Dataset EGAD50000001724

• Elevated circulating tumor cells reflect high proliferation and genomic complexity in multiple myeloma - RNA

  This reposiroty contains bulk RNA data generated by Blood Cancer Research Group (Ostrava, Czech Republic) as a part of publication named "Elevated circulating tumor cells reflect high proliferation and genomic complexity in multiple myeloma" published in Hemapshere. The dataset contains RNAseq samples from bone marrows.

  Dataset EGAD50000001725

• Cancer Genomics Lab at Johns Hopkins

  Dac EGAC00001003656

• Pan Prostate Cancer Group Germany BAM files

  German early-onset prostate cancer whole-genome sequencing samples of the Pan-Prostate Cancer Genome (PPCG) project. Whole Genome Sequencing Illumina data from men with prostate cancer. Samples were taken from primary tissue obtained at prostatectomy with matched blood control.

  Dataset EGAD00001005997

• DAC for Early detection of ovarian cancer using cell-free DNA fragmentomes and protein biomarkers

  Ovarian cancer is a leading cause of death from gynecological malignancies worldwide. No effective screening methods exist resulting in tumor detection at advanced stages where treatment is less effective. In this study, we used whole-genome cell-free DNA (cfDNA) fragmentome and protein biomarker (CA-125 and HE4) analyses to evaluate 591 women, mostly post-menopausal, from the European Union or the United States with ovarian cancer, benign adnexal masses, or without ovarian lesions. Using a machine learning model that incorporated multi-analyte fragmentome data and protein measurements, we evaluated the detection of ovarian cancer in two clinical settings, detection of ovarian cancers among a healthy population, and classification of adnexal masses as benign or malignant. The combined approach detected ovarian cancer with specificity >99% and sensitivity of 72%, 69%, 87%, and 100% for stages I–IV, respectively (AUC=0.96, 95% CI: 0.94-0.99), including 90% of high grade serous ovarian cancers. At the same specificity, CA-125 alone detected 34%, 62%, 63%, and 100% of ovarian cancers for stages I–IV (p=0.001, two-sided test of equal proportions). Additionally, our approach differentiated benign masses from ovarian cancers with high accuracy (AUC of 0.88, 95% CI=0.83-0.92). These results were validated in an independent population. These findings show that integrated cfDNA fragmentome and protein analyses detect ovarian cancers with high performance, enabling a new accessible approach for noninvasive ovarian cancer screening and diagnostic evaluation.

  Dac EGAC50000000332

• Prefibrotic Bone Marrow Microenvironment is a Hallmark of Clonal Hematopoiesis

  Clonal hematopoiesis of indeterminate potential (CHIP) is linked to systemic inflammation and increased malignant risk, yet its impact on the bone marrow (BM) niche remains poorly understood. Through single-cell transcriptomic profiling of freshly isolated BM, we identify fibro-inflammatory rewiring as an early hallmark of CHIP. Beyond a myeloid-biased inflammatory state, CHIP BM exhibited coordinated TNFα activation across hematopoietic progenitor, monocyte, and stromal compartments. Stromal populations displayed early fibrotic remodeling, with mesenchymal and vascular cells upregulating collagen and extracellular matrix programs. Fibroblasts were markedly expanded independent of mutational subtype and acquired cancer-associated fibroblast (CAF)-like programs, rewiring niche interactions through IL-6, TGFβ, and collagen-integrin signaling. Together, these findings establish fibro-inflammatory BM remodeling as an early hallmark of clonal expansion, linking CHIP to prefibrotic stromal remodeling, immune dysregulation, and a niche architecture consistent with increased malignant risk.

  Study EGAS50000001774

• NICHE - Pre-treatment single cell RNA-seq of MMR proficient early stage colon cancers

  This dataset includes raw single cell RNA sequencing data from 13 pMMR colon cancer patients treated with neoadjuvant immune checkpoint blockade in the NICHE trial. This dataset comprises pre-treatment colon cancer biopsy samples, which digested to obtain single cell suspensions, sorted for CD45+, labelled with hashtag antibodies, split in 3 cell pools, and distributed in 5 sequencing samples (7654_1-5). 30 FASTQ files were generated, 10 files for scRNAseq gene expression (10X Genomics Chromium Next GEM Single Cell 5' v2), 10 files for single cell TCRseq (10X Genomics Chromium Next GEM Single Cell V(D)J Reagent Kits 5' v2) and 10 files for feature barcodes and hashtag antibodies, with feature reference barcodes provided. Samples were sequenced on Illumina Novaseq 6000 and raw FASTQ files were later processed with Cellranger workflows from 10X Genomics, investigating features of pre-treatment immune tumour cells and associations with neoadjuvant response.

  Dataset EGAD50000002853

• Aggressive PDACs show hypomethylation of repetitive elements and the execution of an intrinsic IFN program linked to a ductal cell-of-origin

  Study EGAS00001004660