16764 results for "sec+and+unspecified+malignant+neoplasm"

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• Genomic Analysis of Focal Nodular Hyperplasia with Associated Hepatocellular Carcinoma Unveils its Malignant Potential

  Dac EGAC00001002123

• Integrated multi-omics analysis of pediatric hepatoblastoma

  Hepatoblastoma (HBL) is the most common malignant liver tumor in childhood and is clinically heterogeneous. In spite of its heterogeneity, the molecular basis responsible for the difference between low-risk and high-risk HBL has not been fully clarified. To address this issue, we carried out multi-omics analysis on 59 HBL samples to generate comprehensive profiles of gene mutation, copy-number alteration, DNA methylation and gene expression. By integrating these data, we aimed to unravel the heterogeneity of HBL and identify genetic determinants and therapy targets of high-risk HBL.

  Study JGAS000188

• Genetic landscape of Extranodal NK/T-cell lymphoma

  Targeted-capture sequencing data from 168 ENKTCL patients

  Dataset EGAD50000000448

• RNA-seq

  RNA sequencing

  Dataset EGAD00001005803

• Whole Exome Sequencing in resected HCC

  35 paired samples ressected HCC

  Dataset EGAD00001006073

• Cetuximab treatment of metastasis-derived organoids (LMO)

  Cetuximab treatment in organoids

  Dataset EGAD00001009404

• WGS profiling of pediatric osteosarcoma

  Primary pediatric osteosarcoma samples were collected and profiled using WGS. When possible, germline and tumor samples were collected. For some patients, multiple tumor tissues were collected and sequenced. Some of the samples were used to derive PDTX models, which were also profiled with WGS. Paired end sequencing was performed on Illumina HiSeq instruments and FASTQ files reported.

  Dataset EGAD00001004537

• CDK4 phosphorylation predicts high sensitivity of malignant pleural mesotheliomas to CDK4/6 inhibition

  Study EGAS00001006117

• McGill EMC Release 6 data

  McGill EMC Release 6 data

  Dataset EGAD00001002705

• GATCI RNAseq fastqs

  Raw RNA sequence data (fastq) for the GATCI project

  Dataset EGAD00001005810

• Whole exome sequencing of pediatric soft tissue sarcoma PDX models

  Childhood cancer remains one of the leading causes of death in pediatric patients in Europe. Pediatric sarcomas, comprising soft tissue sarcomas and malignant bone tumors, are a heterogenous group of malignancies, with more than 50 subtypes (WHO classification). Due to low case numbers, studying pediatric sarcomas requires accurate and reliable preclinical models. Here, we established 18 soft tissues sarcoma PDX models, including Ewing Sarcoma, Rhabdmyosarcoma and Osteosarcoma. We characterized these models by Whole Exome Sequencing and assessd the response to a wide range of drugs.

  Study EGAS50000000048

• Mesothelioma Genomics Study - WGS tumour/normal pairs

  Malignant mesothelioma (MM) is an incurable and aggressive tumour that occurs principally in the pleura as a consequence of inhaling asbestos fibres. There are >15,000 cases per annum worldwide, the incidence is increasing and Australia has one of the world's highest incidence rates. Surgery, chemotherapy and radiotherapy (or their combinations) all feature in the clinical management but do not impact significantly on overall survival. This study uses whole genome sequencing (WGS) with the aim of identifying mesothelioma-related genomic alterations and potentially identifying novel treatment strategies.

  Study EGAS00001002299

• snRNAseq prostate cancer

  single-nucleus RNA seq characterization of human fresh frozen prostate cancer samples and non-malignant controls for the same patients. Biopsies were sectioned in 100 micron thick sections, adjacent to those used for spatial transcriptomics.

  Dataset EGAD50000001633

• pediatric AML genomic sequences

  This dataset contains whole sequencing data from 30 patients with pediatric AML. For each patient, there is one dataset derived from tumor cells and one dataset derived from a matched non-malignant control.

  Dataset EGAD50000001572

• MSK SPECTRUM - SPatiotemporal Evolution of Cancer Traced Using Multimodalities

  MSK SPECTRUM is a multi-modal, interdisciplinary prospective study of spatiotemporal determinants of high-grade serous ovarian cancer (HGSOC) evolution, treatment and response. Accounting for ~80% of ovarian cancers, HGSOC is the most lethal gynecological malignancy and is a cancer of major unmet clinical need. Challenges in disease management relate to several unresolved questions about disease biology and diagnostic modalities. Prospective longitudinal collection of tissues and blood from laparoscopic biopsies and debulking surgeries enable multi-modal molecular measurements. The program brings together formidable expertise at Memorial Sloan Kettering Cancer Center (MSKCC) across the disciplines of high-resolution genomics and computer science, radiology and radiomics, surgery, tissue banking and sample preparation, medical oncology, immuno-oncology and high-resolution tissue profiling to generate a comprehensive and integrative dataset that will allow us to address the following major aims: i) characterize malignant and immune diversity at diagnosis, ii) survey the co-evolution of malignant cells and the immune response, and iii) stratify patients on standard-of-care and investigational compounds based on their genomic and transcriptomic signatures and changes to relevant genes (TP53, CCNE1, BRCA1/2, CDK12). The goal is to create a framework to utilize integrated multi-modal data as a route to advanced diagnostics and to ultimately establish a proof-of-concept for integrated diagnostics.

  Study phs002857

• Genomic Analysis of Focal Nodular Hyperplasia with Associated Hepatocellular Carcinoma Unveils its Malignant Potential

  Study EGAS00001005313

• RNA-Seq dataset for malignant pleural and peritoneal mesothelioma

  This dataset contains RNA sequencing data of pleural and peritoneal mesothelioma. The number of samples is 18. Sequencing was performed on Illumina NovaSeq 6000 and Illumina NovaSeqXPlus. The sequencing was always paired.

  Dataset EGAD50000001342

• Kinomics data

  To ellucidate protein activity in mRCC, Kinomics data was generated as part of the EuroTarget study

  Dataset EGAD50000002293

• RNA-Seq data for Juvenile Pilocytic Astrocytomas

  RNA-Seq data for 9 JPA samples.

  Dataset EGAD00001009043

• RNAseq

  RNAseq of pancreatic cancer organoids.

  Dataset EGAD00001010834

• Neuroblastoma Whole Exome Sequencing

  Mapped BAM files of 162 tumor/normal WES experiments.

  Dataset EGAD00001004450

• RNAseq of 7 MPNSTs

  RNAseq of 7 MPNSTs for Magallon-Lorenz 2026. Contains 5 samples sequenced with DNBseq at BGI (four 2x100bp and one 2x150bp) and 2 samples sequenced with Illumina stranded mRNA-seq technology. BGI samples have been prefiltered with SOAPnuke. Two fastq files provided per sample with no additional filtering or QC.

  Dataset EGAD50000002493

• Long-read Nanopore data EVOFLUx

  Bam files with all reads covering 976 fCpGs identified in Gabbutt and Duran-Ferrer 2025 to develop the EVOFLUx methodology. These include 10 samples, 6 normal B cells, and 2 CLL patients developing RT.

  Dataset EGAD50000001697

• Whole exome sequencing of ETV::RUNX1 positive acute lymphoblastic leukemia

  This dataset contains whole exome sequencing of ETV::RUNX1 positive acute lymphoblastic leukemia. Germline and leukemia samples were sequenced in pairs. A total of 94 samples were sequenced and reads were aligned to hg19 genome reference. Aligned bam files are provided in this data set.

  Dataset EGAD50000001184

• Exome Sequencing of Spanish Patients with rare genetic diseases.

  Whole Exome sequencing of a set of Spanish patients suffering rare genetic diseases. The set consists of 3 patients, two were diagnosed with Aniridia (ANI-0006 and ANI-0023) and another one was diagnosed with Retinitis Pigmentosa (RP-0247).

  Dataset EGAD00001005498