15077 results for "cancer studies using rna-seq"

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• BLUEPRINT: WGBS-seq of multiple myeloma and plasma cells

  Whole-genome Bisulfite sequencing of two multiple myeloma samples and one pooled sample of plasma cells.

  Dataset EGAD00001000672

• LifeLines-DEEP 16s seq

  16S sequencing of stool samples of LifeLines-DEEP, domain V4

  Dataset EGAD00001003453

• HEMa_LP

  This dataset contain WGBS sequencing result of HEMa_LP. The cells were cultured in Medium 254 supplemented with PMA-Free Human Melanocyte Growth Supplement-2 (HMGS-2) under 37°C,5% CO2.

  Dataset EGAD00001005486

• Genomics of Prostate Cancer

  This dataset includes genomic data from patients with prostate cancer. Specimens include archival active surveillance biopsies, radical prostatectomy specimens selected based on evidence of PD-L1 expression and/or T lymphocyte infiltrates, and rapid autopsy material from patients deceased of prostate cancer. These data include low pass whole genome sequencing and targeted sequencing with matched normal.

  Study phs002398

• Identifying and Reducing Disparities in Patient-Reported Outcomes Among African American Prostate Cancer Survivors

  This research study aimed to identify disparities in prostate cancer symptom burden and their contributors among African American, Hispanic, and non-Hispanic White prostate cancer survivors. We collected patient-reported outcomes data, focusing on various aspects of the survivors' health and well-being, clinical data, demographics data, and germline genomic data.

  Study phs003745

• Target sequencing of 11 hereditary breast cancer genes in Japanese

  We performed a case control association study for variants in coding regions of 11 hereditary breast cancer genes in 7,051 female unselected breast cancer patients, 11,241 female controls, 53 male patients, and 12,490 male controls of Japanese ancestry. The 11 genes were ATM, BRCA1, BRCA2, CDH1, CHEK2, NBN, NF1, PALB2, PTEN, STK11, and TP53.

  Study JGAS000140

• Cell_Line_Sub_Clone_Rearrangement_Screen

  Genomic libraries (500 bps) will be generated from total genomic DNA cancer samples and subjected to paired end sequencing on the llumina GA. Paired reads will be mapped to build 37 of the human reference genome to facilitate the generation of genome wide copy number information, and the identification of novel rearranged cancer genes and gene fusions.

  Study EGAS00001000178

• Genomic landscape of inflammatory breast cancer by whole-genome sequencing

  Inflammatory breast cancer (IBC) is the most aggressive form of breast cancer, characterized by a highly invasive and metastatic phenotype, but little is known about its genetic drivers. Here we report whole-genome sequencing (WGS) of 20 newly diagnosed IBC biopsies to characterize for the first time the entire genomic landscape of this disease.

  Study EGAS00001004117

• Whole-exome sequencing of paired tumour/blood of 58 T1 stage bladder cancer patients

  To understand the molecular determinants that underpin the clinical heterogeneity of non-muscle-invasive bladder cancer (NMIBC) we carried out whole-exome sequencing (WES) of stage T1 bladder tumours to identify prognostic biomarkers and novel therapeutic targets. The study includes paired tumour/blood samples of 58 T1 stage bladder cancer patients.

  Study EGAS00001005765

• BLUEPRINT ChIP-seq data for cells in the haematopoietic lineages, from adult and cord blood samples.

  ChIP-seq data for cells in the haematopoietic lineages, from adult and cord blood samples.

  Study EGAS00001000326

• Light at Night and Prostate Cancer in the Health Professionals Follow-Up Study

  The Health Professionals Follow-Up Study (HPFS) is a prospective cohort study of men designed to evaluate hypotheses about men's health related to diet and lifestyle to the incidence of serious illnesses, such as cancer, heart disease, and other vascular diseases. It consisted of 51,529 U.S. male health professionals who were 40-75 years old at baseline in 1986 and completed a mailed six-page baseline questionnaire. Information on age, height, weight, ancestry, medications, disease history, physical activity, lifestyle factors, and diet were gathered, with follow-up questionnaires sent biennially to update information and record health outcomes with every four years to update their diet. Light at Night and Prostate Cancer project uses HPFS participants to conduct research assessing the impact of light at night on prostate cancer incidence, with follow-up from baseline in 1986 to 2016. Average annual outdoor light at night (exposure) was derived from satellite imagery data from the US Defense Meteorological Satellite Program's Operational Linescan System (maintained by the National Oceanic and Atmospheric Administration's Earth Observation Group). Prostate cancer cases (outcome) were self-reported by study participants, and then confirmed by the HPFS team through medical record and pathology report review. The data for this project are arranged in a long format, meaning that there are multiple rows for each subject ID. The various rows correspond to different questionnaire periods. Because the exposure in this dataset, light at night, and several important covariates are time-varying variables, the format of this dataset captures the variation in exposure status by questionnaire period. The outcome variables are incidence of prostate cancer, including incidence of prostate cancer clinical subtypes, such as advanced, aggressive, high- and low-grade prostate cancer. For the published study, please see Chowdhury-Paulino et al.'s 2023 publication in Cancer Epidemiology Biomarkers and Prevention entitled, “Association between Outdoor Light at Night and Prostate Cancer in the Health Professionals Follow-up Study.” (PMID: 37462694).

  Study phs003538

• Molecular Tumor Board to Inform on Personalized Medicine for a Man with Advanced Prostate Cancer

  Purpose: Molecular profiling of cancer is increasingly common as part of routine care in oncology, and germline and somatic profiling may provide insights and actionable targets for men with metastatic prostate cancer. However, all reported cases are of deidentified individuals without full medical and genomic data available in the public domain. Patient and Methods: We present a case of whole genome tumor and germline sequencing in a patient with advanced prostate cancer, who has agreed to make his genomic and clinical data publicly available in an accompanying personal testimonial. Results: We describe an 84-year-old Caucasian male with a Gleason 10 oligometastastic hormone-sensitive prostate cancer. Whole-genome sequencing provided insights into his tumor’s underlying mutational processes and the development of an SPOP mutation. It also revealed an androgen-receptor dependency of his cancer which was reflected in his durable response to radiation and hormonal therapy. Potentially actionable genomic lesions in the tumor were identified through a personalized medicine approach for potential future therapy, but at the moment, he remains in remission, illustrating the hormonal sensitivity of his SPOP-driven prostate cancer. We also placed this patient in the context of a large prostate-cancer cohort from the PCAWG (Pan-cancer Analysis of Whole Genomes) group. In this comparison, the patient's cancer appears typical in terms of the number and type of somatic mutations, but it has a somewhat larger contribution from the mutational process associated with aging. Conclusion: We combined the expertise of medical oncology and genomics approaches to develop a molecular tumor board to integrate the care and study of this patient, who continues to have an outstanding response to his combined modality treatment. This identifiable case potentially helps overcome barriers to clinical and genomic data sharing.

  Study EGAS00001004648

• Division of Cancer Genomics, National Cancer Center Research Institute Data Access Committee

  Dac EGAC00001000957

• Transcriptome profiling by array

  Expression profiling by Nanostring cancer immune

  Dataset EGAD00010001274

• Bone metastatic biopsies of breast cancer patients progressing on endocrine therapies.

  Study EGAS00001004268

• Detailed molecular and immune marker profiling of archival prostate cancer samples

  Study EGAS00001004396

• Tumour evolvability metrics predict recurrence in advanced localised prostate cancer (tumour data)

  Study EGAS00001006096

• Tumour evolvability metrics predict recurrence in advanced localised prostate cancer (normal data)

  Study EGAS00001006098

• HPV-associated Cancer Consortium Data Access Committee

  HPV-associated Cancer Consortium Data Access Committee

  Dac EGAC50000000088

• Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer

  Study EGAS00001006648

• Stabilising selection causes grossly altered but stable karyotypes in metastatic colorectal cancer

  Study EGAS00001004219

• Cancer Alliance Exome

  Exome sequencing for individualized cancer interpretation

  Dataset EGAD00001006236

• Sequencing data for oesophageal and related samples - OACs release 6 (RNA)

  Dataset EGAD00001005375

• Sequencing data for oesophageal and related samples - OACs release 3 (RNA)

  Dataset EGAD00001003900

• RNAseq data of brain metastasis samples

  Paired-end RNA sequencing data from 95 brain metastasis samples with different primary origins. Sequencing was performed on the Illumina HiSeq 3000.

  Dataset EGAD50000000799

• Sequencing data for filanesib-treated hepatoblastoma samples

  This dataset contains RNA sequencing data of two hepatoblastoma PDX cell models. Cells were either treated with KSP inhibitor filanesib or with DMSO (controls).

  Dataset EGAD50000001314

• Single-cell mRNA-sequencing of neuroblastoma

  Profiling of childhood neuroblastoma by single-cell RNA sequencing

  Dataset EGAD00001009766

• MYC and MINCR-regulated lncRNAs in hT-RPE-MycER cells

  RNA-sequencing data from teh hT-RPE-MycER cell line after MYC activation and after MINCR knock-down in conditions of MYC ON or OFF

  Dataset EGAD00001001598

• Dataset of RNA-sequencing of childhood acute myeloid leukemia

  This dataset includes 139 bam files of mRNA sequencing. All subjects are tumor samples of pediatric acute myeloid leukemia.

  Dataset EGAD00001005078

• Engineered cartilage: deriving design principles from human developmental: RNA (2025-07-30)

  Engineered cartilage: deriving design principles from human developmental pathways . This dataset contains all the data available for this study on 2025-07-30.

  Dataset EGAD00001015664

• Colorectal cancer functional annotation - MPRA

  We performed a Massively Parallel Reporter Assay (MPRA) in colorectal cancer (CRC) cell lines HT29 and SW403 and normal colon cell line HCEC-1CT. We specifically targeted the regions around the CRC GWAS loci to identify which variants alter transcription.

  Study EGAS50000000406

• Comprehensive analyses of genetic aberrations in gastroenterological tumors

  Intestinal metaplasia (IM) is a risk factor of gastric cancer in gastric mucosa with Helicobacter pylori infection. To explore the susceptibility to the cancer development in pure gastric IM, we investigated landscape of genetic alterations in gastric single-glands with IM.

  Study JGAS000269