8224 results for "canc*"

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• Evaluation Of The Role Of Tumor Mutational Burden As A Prognostic Biomarker In Follicular Lymphoma

  In this study, we have evaluated TMB through a 409-gene panel in 135 patients with FL or transformed FL (tFL) at presentation. We analyzed the association of TMB with prognosis and specific genetic alterations recurrent in FL, with the goal of identifying molecular markers that could improve prognostic assessment.

  Study EGAS50000001448

• MIBC NAC2020 cohort RNA sequencing

  The dataset contains RNA sequencing data from N=48 transurethral resections of bladder tumours (TURBTs) from N=48 patients with muscle-invasive bladder cancer. All TURBTs originate from formalin-fixed paraffin embedded tissue. We used the Illumina TruSeq RNA exome kit, previously known as the TruSeq RNA Access Library Prep Kit. This kit converts total RNA into template molecules of known strand origin, followed by sequence-specific capture of coding RNA. All samples were run in an Illumina NovaSeq6000 instrument. Paired FASTQ files from all 48 patients are provided.

  Study EGAS50000000741

• A New CA19-9 Cut-Off Value Identifies Lewis Antigen Status and Refines Prognostic Stratification in PDAC

  This study investigates the clinical utility of serum CA19-9 levels in pancreatic ductal adenocarcinoma (PDAC), with a focus on identifying patients with Lewis antigen–negative status due to germline FUT3 variants. Using data from multicenter prospective cohorts in Taiwan, we analyzed CA19-9 classification, FUT2/FUT3 genotypes, and clinicopathological annotations. The goal of this study is to refine prognostic stratification and reduce false-negative interpretation of CA19-9 in PDAC patients. All participants provided informed consent, and the study was approved by the relevant institutional review boards.

  Study EGAS50000001575

• Patient-specific CAR T cell barriers in colorectal cancer identified by phenotypic screening of tumor organoids

  This study used CAR-T cells in coculture with patient-derived organoids to model patient-specific responses to CAR-T cell therapy. Heterogeneous killing efficiencies together with downstream analysis revealed tumor-intrinsic drivers of CAR-T resistance. In addition, drug library screens for synthetic lethality identified possible targets for combinatorial treatment strategies.

  Study EGAS50000002034

• DKTK Organoid Platform: A multicentric living biobank for functionalizing patient-derived organoids and model clinical outcomes

  To enable the generation of harmonized and well annotated PDTO cohorts across national institutions, the German Cancer Consortium (DKTK) has established the Strategic Initiative Organoid Platform. For the MetPredict cohort, individual PDTOs were generated from spatially distinct liver metastases of colorectal cancer. To study the molecular inter-metastatic heterogeneity, samples were submitted to whole exome sequencing.

  Study EGAS50000002045

• Bladder Cancer Genomics Data Access Committee – Erlangen–Bonn Collaboration

  The Bladder Cancer Genomics Data Access Committee (DAC) represents the collaborative bladder cancer research program between the Institute of Pathology, Universitätsklinikum Erlangen; the Department of Urology and the Institute of Experimental Oncology, Universitätsklinikum Bonn. The DAC comprises representatives from each participating institution, including Prof. Dr. med. Dr. rer. biol. hum. Markus Eckstein (Universitätsklinikum Erlangen) and PD Dr. med. Niklas Klümper (Universitätsklinikum Bonn). The committee is responsible for reviewing and approving requests for access to controlled-access bladder cancer genomic and associated clinical datasets generated through this collaboration deposited in the European Genome-phenome Archive (EGA). The committee reviews requests from qualified researchers to determine whether the proposed use of the data is consistent with the participants' informed consent, applicable ethical approvals, institutional data access policies, and relevant data protection regulations before granting access.

  Dac EGAC50000001118

• Bulk RNA Sequencing of 112 Bladder Cancer Tumor Samples Using Lexogen QuantSeq 3′ mRNA-Seq

  Bulk RNA sequencing dataset comprising tumor samples from 112 bladder cancer patients. Gene expression profiling was performed using the Lexogen QuantSeq 3′ mRNA-Seq library preparation protocol, which generates strand-specific 3′ end transcript libraries for digital gene expression quantification. The dataset provides transcriptomic profiles for molecular characterization of bladder cancer and supports studies of tumor biology, biomarker discovery, and clinical outcome associations.

  Study EGAS50000002032

• Raw Bulk QuantSeq 3′ mRNA Sequencing Data from 137 Bladder Cancer Tumor Samples

  This controlled-access dataset comprises raw single-end FASTQ files generated from 137 bladder cancer tumor samples collected from 112 patients using the Lexogen QuantSeq 3′ mRNA-Seq protocol on the Illumina NovaSeq 6000 platform. Access is governed by the Bladder Cancer Genomics Data Access Committee (DAC) and the associated controlled-access policy.

  Dataset EGAD50000002920

• Processed Gene-Level Expression Counts from 137 Bladder Cancer QuantSeq 3′ RNA-seq Samples

  This controlled-access dataset contains processed gene-level expression counts generated from 137 bladder cancer tumor samples collected from 112 patients. Gene expression quantification was performed using the nf-core/rnaseq workflow with Salmon, and transcript-level abundance estimates were aggregated to gene-level counts. Access is governed by the Bladder Cancer Genomics Data Access Committee (DAC) and the associated controlled-access policy.

  Dataset EGAD50000002921

• Clinical Annotation and Survival Metadata for 137 Bladder Cancer Samples

  This controlled-access dataset contains curated clinical metadata associated with 137 bladder cancer tumor samples obtained from 112 patients. Variables include patient demographics, clinician-assigned phenotype, overall survival (OS), progression-free survival (PFS), and corresponding event status variables. Access is governed by the Bladder Cancer Genomics Data Access Committee (DAC) and the associated controlled-access policy.

  Dataset EGAD50000002922