7825 results for "canc*"

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• Genome and transcriptome sequence data from a breast carcinoma patient

  Genome and transcriptome sequence data from a breast carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001003043

• Genome and transcriptome sequence data from a metastatic breast cancer patient

  Genome and transcriptome sequence data from a metastatic breast cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001003044

• Genome and transcriptome sequence data from a metastatic lung cancer patient

  Genome and transcriptome sequence data from a metastatic lung cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001003045

• Genome and transcriptome sequence data from a sigmoid cancer and an ampullary cancer patient

  Genome and transcriptome sequence data from a sigmoid cancer and an ampullary cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001003046

• High Grade Serous Ovarian Cancer Whole Exome Sequencing

  Whole exome sequencing (WES) was performed on genomic DNA (50–200 ng) extracted from high-grade serous ovarian cancer (HGSOC) tumor tissue and matched buffy coat or normal tissue. DNA was sheared using a Covaris E220 system to generate fragments of approximately 150–200 bp. Sequencing libraries were prepared using the Agilent SureSelect XT Low Input Library Preparation Kit with unique dual indices. Tumor libraries were enriched using a custom SureSelect V6 + UTR + OneSeq LowRes capture probe set, while germline libraries were enriched using the Agilent SureSelect Human All Exon V6 capture kit supplemented with custom probes. Libraries underwent initial quality control sequencing on the Illumina MiSeq platform, followed by pooled sequencing on the Illumina NovaSeq 6000 using a 300-cycle kit. Archived here are the BAM files for each sample.

  Dataset EGAD50000002488

• Genome and transcriptome sequence data from a metastatic sigmoid colon cancer patient

  Genome and transcriptome sequence data from a metastatic sigmoid colon cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016390

• Genome and transcriptome sequence data from a metastatic small cell lung cancer patient

  Genome and transcriptome sequence data from a metastatic small cell lung cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016391

• Genome and transcriptome sequence data from a peritoneal mesothelioma, epithelioid type patient

  Genome and transcriptome sequence data from a peritoneal mesothelioma, epithelioid type patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016392

• Genome and transcriptome sequence data from a metastatic kras mutant colon cancer patient

  Genome and transcriptome sequence data from a metastatic kras mutant colon cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016393

• Genome and transcriptome sequence data from a thoracic/ mediastinal paraganglioma patient

  Genome and transcriptome sequence data from a thoracic/ mediastinal paraganglioma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016394

• Genome and transcriptome sequence data from a metastatic osteosarcoma (left radius primary, lungmetastasis patient

  Genome and transcriptome sequence data from a metastatic osteosarcoma (left radius primary, lungmetastasis patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016395

• Genome and transcriptome sequence data from a recurrent uterine tumor resembling ovarian sex cord tumor (utrosct) patient

  Genome and transcriptome sequence data from a recurrent uterine tumor resembling ovarian sex cord tumor (utrosct) patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016396

• Genome and transcriptome sequence data from a metastatic colorectal adenocarcinoma patient

  Genome and transcriptome sequence data from a metastatic colorectal adenocarcinoma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016397

• Genome and transcriptome sequence data from a metastatic sigmoid colon cancer patient

  Genome and transcriptome sequence data from a metastatic sigmoid colon cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016398

• Genome and transcriptome sequence data from a triple negative breast cancer (ductal) patient

  Genome and transcriptome sequence data from a triple negative breast cancer (ductal) patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016399

• Genome and transcriptome sequence data from a metastatic adenoid cystic carcinoma of the right parotid gland to lymph nodes, lungs and bone patient

  Genome and transcriptome sequence data from a metastatic adenoid cystic carcinoma of the right parotid gland to lymph nodes, lungs and bone patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016400

• Genome and transcriptome sequence data from a metastatic clear cell sarcoma patient

  Genome and transcriptome sequence data from a metastatic clear cell sarcoma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016401

• Genome and transcriptome sequence data from a braf wild-type malignant melanoma with cns metastasis patient

  Genome and transcriptome sequence data from a braf wild-type malignant melanoma with cns metastasis patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016402

• Genome and transcriptome sequence data from a locally advanced non small cell lung cancer patient

  Genome and transcriptome sequence data from a locally advanced non small cell lung cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016403

• Genome and transcriptome sequence data from a metastatic periampullary carcinoma patient

  Genome and transcriptome sequence data from a metastatic periampullary carcinoma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016404

• Genome and transcriptome sequence data from a metastatic breast cancer (ductal) patient

  Genome and transcriptome sequence data from a metastatic breast cancer (ductal) patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016405

• Genome and transcriptome sequence data from a metastatic gastric cancer patient

  Genome and transcriptome sequence data from a metastatic gastric cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016406

• Genome and transcriptome sequence data from a metastatic distal esophageal adenocarcinoma with nodal and liver metastasis patient

  Genome and transcriptome sequence data from a metastatic distal esophageal adenocarcinoma with nodal and liver metastasis patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016407

• Genome and transcriptome sequence data from a metastatic breast ca to liver, er+, her2 low (ductal) patient

  Genome and transcriptome sequence data from a metastatic breast ca to liver, er+, her2 low (ductal) patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016408

• Genome and transcriptome sequence data from a metastatic clear cell ovarian cancer patient

  Genome and transcriptome sequence data from a metastatic clear cell ovarian cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016409

• Genome and transcriptome sequence data from a recurrent low grade serous ovarian cancer patient

  Genome and transcriptome sequence data from a recurrent low grade serous ovarian cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016410

• Genome and transcriptome sequence data from a metastatic colorectal cancer patient

  Genome and transcriptome sequence data from a metastatic colorectal cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016411

• Paediatric MN1::ZNF341-associated cancer scRNA-seq

  A lethal round-cell malignancy with an MN1::ZNF341 fusion has recently been reported. Here, using single-cell RNA sequencing data derived from monozygotic twins, we find the tumour to be transcriptionally distinct from neuroblastoma. Instead, it exhibits steroidogenic differentiation. These data, in combination with the clinical, radiological, histopathological and additional molecular findings, corroborate suggestions that this tumour is a distinct and aggressive childhood cancer.

  Dataset EGAD00001016421

• ICGC Prostate UK RNASeq BAMs

  This dataset contains aligned RNA-seq BAM files generated from prostate cancer and morphologically normal tissue samples from the ICGC Prostate UK cohort. Libraries were prepared using the Illumina TruSeq Stranded mRNA Library Preparation Kit with poly(A) selection and sequenced on the Illumina HiSeq 4000 platform. Sequencing reads (150 bp) were aligned to the reference genome using STAR.

  Dataset EGAD00001016433

• ICGC Prostate UK EPICSeq methylation sequencing data BAMs

  This dataset contains aligned BAM files generated from DNA methylation sequencing of prostate cancer and morphologically normal tissue samples from the ICGC Prostate UK cohort. Libraries were prepared using the Illumina TruSeq Methyl Capture EPIC (EPIC-Seq) assay and sequenced on the Illumina HiSeq 4000 platform. Sequence reads were aligned to the reference genome using Bismark v0.22.1.

  Dataset EGAD00001016579

• Dataset for Genomic and fragmentomic landscapes of cell-free DNA in aging and disease : MICA Morbidity Cohort

  This dataset contains 570 cram files from whole genome next-generation sequencing on the Illumina NovaSeq 6000 with 1-2x coverage. The samples analyzed include plasma samples from non-cancer patients from MICA cohort.

  Dataset EGAD00001016584

• TRACERx100 metastatic samples

  Whole exome sequencing of 10 metastatic biopsies from four TRACERx100 patients (see EGA dataset EGAS00001002247), collected either after relapse or death. The data from these samples are initially published with Abbosh, C. et al. Phylogenetic ctDNA analysis depicts early stage lung cancer evolution. Nature, http://dx.doi.org/10.1038/nature22364 (2017). Abstract: Earlier detection of relapse following primary surgery for non-small cell lung cancer and the characterization of emerging subclones seeding metastatic sites might offer new therapeutic approaches to limit tumor recurrence. The potential to non-invasively track tumor evolutionary dynamics in ctDNA of early-stage lung cancer is not established. Here we conduct a patient-specific approach to ctDNA profiling in the first 100 lung TRACERx (TRAcking Cancer Evolution through therapy (Rx)) study participants, including one patient co-recruited to the PEACE (Posthumous Evaluation of Advanced Cancer Environment) post-mortem study. We identify independent predictors of ctDNA release in early-stage non-small cell lung cancer and perform tumor volume limit of detection analyses. Through blinded profiling of post-operative plasma, we observe evidence of adjuvant chemotherapy resistance and identify patients destined to experience recurrence of their lung cancer. Finally, we show that phylogenetic ctDNA profiling tracks the subclonal nature of lung cancer relapse and metastases, providing a new approach for ctDNA driven therapeutic studies.

  Dataset EGAD00001003301

• Evolution of four ER+ breast cancers

  The evolution of four breast cancers was analyzed using longitudinal samples collected over 2-15 years. Whole-genome sequencing and single-cell RNA-Seq were used to analyze evolution. We have deposited VCF files for SNV, indel, and structural variant calls from WGS data, and a text file showing transcripts per million (TPM) expression for the single-cell RNA-Seq data.

  Dataset EGAD00001003303

• The molecular landscape of colorectal cancer reveals genetic mutations - COCA-CN

  We collected tumor samples and adjacent nomal mucosae from 46 patients with colorectal cancer in surgical operation from 2014 to 2016 in the First Affiliated Hospital of Chongqing Medical University (Chongqing, China) and the Research Institute of Surgery, Third Military Medical University (Chongqing, China). the qualified captured library of each sample was then loaded on Illumina HiSeq 2000 (Illumina, San Diego, CA) platforms and subjected to high-throughput sequencing.

  Dataset EGAD00001003304

• Whole genome sequencing and whole exome sequencing of DIPG tumors and matched normal tissue

  Diffuse Intrinsic Pontine Glioma (DIPG) is a fatal brain cancer that arises in the brainstem of children with no effective treatment. To understand what drives DIPGs we integrated whole-genome-sequencing with methylation, expression and copy-number profiling.

  Dataset EGAD00001003305

• Exome sequencing data of 15 French Caucasian and 10 African-Caribbean men with prostate Cancer.

  Exome sequencing data of 15 French Caucasian and 10 African-Caribbean men with prostate Cancer.

  Dataset EGAD00001003306

• RNAseq of LC2AD with AD80 or DMSO

  RNAseq of LC2AD with AD80 or DMSO Plenker et al., Mechanistic insight into RET kinase inhibitors targeting the DFG-out conformation in RET-rearranged cancer

  Dataset EGAD00001003316

• RNAseq - Colorectal organoids and tumoroids (2017-05-04)

  Transcriptome sequencing of tumour tissue, adjacent normal tissue and derived organoids/tumoroids from colorectal cancer This dataset contains all the data available for this study on 2017-05-04.

  Dataset EGAD00001003320

• TGS - Comprehensive Molecular Characterization of Colorectal Cancer Metastases [MOSAIC] (2017-05-04)

  This dataset contains all the data available for this study on 2017-05-04.

  Dataset EGAD00001003321

• Metastatic breast cancer targeted gene screen (2017-05-11)

  The samples will be sequenced for a targeted panel of cancer relevant genes (n ~ 370) and analysed for somatic mutations. This dataset contains all the data available for this study on 2017-05-11.

  Dataset EGAD00001003330

• Validation for human early embryonic substitutions (2017-05-11)

  PCR and MiSeq validation for early embryonic substitution candidates from 400 Breast cancer patients This dataset contains all the data available for this study on 2017-05-11.

  Dataset EGAD00001003332

• ICR96 exon CNV validation series

  A resource for assessment of exon CNV calling methods in targeted NGS data, we here present the ICR96 exon CNV validation series. The dataset includes high-quality sequencing data from a targeted NGS assay (the TruSight Cancer Panel) together with Multiplex Ligation-dependent Probe Amplification (MLPA) results for 96 independent samples. 66 samples contain at least one validated exon CNV and 30 samples have validated negative results for exon CNVs in 26 genes. The dataset includes 46 exon CNVs in BRCA1, BRCA2, TP53, MLH1, MSH2, MSH6, PMS2, EPCAM and PTEN, giving excellent representation of the cancer predisposition genes most frequently tested in clinical practice. Moreover, the validated exon CNVs include 25 single exon CNVs the most difficult exon CNV to detect.

  Dataset EGAD00001003335

• Recalibrated whole-exome sequencing alignment files of Saudi papillary thyroid cancer

  The dataset consists of samples from papillary thyroid cancer patients. A total of 181 DNA samples from blood/normal and cancer tissue are subjected to whole exome sequencing using Illumina. The fastq files generated were aligned with reference genome ‘hg19’, duplicates were marked, realignment around indels and quality recalibration were performed to produce good quality variants. The recalibrated “.bam” files are included with this dataset.

  Dataset EGAD00001003358

• Amplicon-based sequencing of drug resistant lung cancer cell lines (2017-07-05)

  A EGFR mutant NSCLC cell line which is sensitive to AZD9291 inhibition was mutagenised with the chemical mutagen ENU and then drug selected using a AZD9291. Single cell derived colonies were then manually picked and expanded in drug. Resistance was confirmed in a 14 day assay and DNA was collected. These then underwent targeted amplicon-based sequencing to confirm candidate resistance effectors hypothesised from currently available literature. This dataset contains all the data available for this study on 2017-07-05.

  Dataset EGAD00001003425

• Exome and Transcriptome for pan-cancer gene-drug analysis

  Total of 584 tumor specimens and/or patient-derived cells across 14 cancer types were subjected for whole-exome/targeted-exome and/or whole-transcriptome sequencing.

  Dataset EGAD00001003441

• Timing the landmark events in the evolution of clear cell renal cell cancer

  Clear cell renal cancer is characterized by near-universal loss of the short arm of chromosome 3 (3p). This event arises through unknown mechanisms, but critically results in the loss of several tumor suppressor genes. We analyzed whole genomes from 95 biopsies across 33 patients with clear cell renal cancer (ccRCC) recruited into the Renal TRACERx study. We find novel hotspots of point mutations in the 5'-UTR of TERT, targeting a MYC-MAX repressor, that result in telomere lengthening. The most common structural abnormality generates simultaneous 3p loss and 5q gain (36% patients), typically through chromothripsis. Using molecular clocks, we estimate this occurs in childhood or adolescence, generally preceding emergence of the most recent common ancestor by years to decades. Similar genomic changes recent common ancestor by years to decades. Similar genomic changes are seen in inherited kidney cancers. Modeling differences in age-incidence between inherited and sporadic cancers suggests that the number of cells with 3p loss capable of initiating sporadic tumors is no more than a few hundred. Targeting essential genes in deleted regions of chromosome 3p could represent a potential preventative strategy for renal cancer.

  Dataset EGAD00001003445

• Gastric cancer RNA-seq data

  strand-specific RNA-seq data from 19 gastric tumors and their adjacent normal tissues, plus 16 gastric cancer cell lines, one normal gastric cell line, and 3 normal stomach RNAs

  Dataset EGAD00001003448

• Colorectal cancer WES/WGS analysis in Dr. Liu’s group in Sun Yat-sen University Cancer Center

  The samples include paired tumor and normal tissues from 205 patients (201 for normal and primary tumor tissues; 4 for normal, primary tumor and liver metastatic tissues). High-coverage WES sequencing or whole genome sequencing of DNA samples were performed on the Illumina HiSeq 2000 system

  Dataset EGAD00001003452

• whole genome sequencing data of genomic heterogeneity of multiple synchronous lung cancer.

  Fastq data of genomics heterogeneity of multiple synchronous lung cancer. Whole-genome sequencing (WGS) were performed in 3 tumour samples, one regional lymph node metastasis sample and peripheral blood sample from the same patient with MSLCs.

  Dataset EGAD00001003458

• Colorctal cancer WES/WGS analysis in Dr. Liu’s group in Sun Yat-sen University Cancer Center.

  The samples include paired tumor and normal tissues from 106 patients . High-coverage WES sequencing or whole genome sequencing of DNA samples were performed on the Illumina HiSeq 2000 system

  Dataset EGAD00001003551