7297 results for "canc*"

in 34.12 milliseconds.

• PGDx elio plasma resolve analytical validation

  This dataset consists of 39 noncancerous donor and 62 cancer patient plasma samples (including 29 patients with CRC across a total of 13 tumor types) that were analyzed with the PGDx elio plasma resolve assay. The PGDx elio plasma resolve assay is a hybrid capture approach targeting 33 genes with sequencing performed using the Illumina NextSeq with 150bp paired-end reads. The bam files provided have been adapter masked and contain duplicate reads.

  Dataset EGAD00001009718

• PGDx elio™ plasma resolve assay: targeted sequencing analyses of plasma cfDNA

  The dataset "PGDx elio™ plasma resolve assay: targeted sequencing analyses of plasma cfDNA" includes paired end FASTQ reads of 183 cfDNA samples from metastatic colorectal cancer patients. Sequencing was performed using a panel consisting of 33 genes, covering over 237,000 bp, targeting 25,000x depth across the targeted regions.

  Dataset EGAD00001009719

• PGDx elio™ tissue complete assay: targeted sequencing analyses of tissue DNA

  The dataset "PGDx elio™ tissue complete assay: targeted sequencing analyses of tissue DNA" includes paired end FASTQ reads of 28 tissue samples from metastatic colorectal cancer patients. Sequencing was performed using a panel consisting of 505 genes, targeting 2,500x depth across the targeted regions.

  Dataset EGAD00001009720

• Normal sample for patient SA284

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA284

  Dataset EGAD00001009562

• Normal sample for patient SA285

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA285

  Dataset EGAD00001009563

• Normal sample for patient SA290

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA290

  Dataset EGAD00001009564

• Normal sample for patient SA294

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA294

  Dataset EGAD00001009565

• Normal sample for patient SA296

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA296

  Dataset EGAD00001009566

• Normal sample for patient SA399

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA399

  Dataset EGAD00001009567

• Normal sample for patient SA400

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA400

  Dataset EGAD00001009568

• Normal sample for patient SA409

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA409

  Dataset EGAD00001009569

• Normal sample for patient SA420

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA420

  Dataset EGAD00001009570

• Normal sample for patient SA533

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA533

  Dataset EGAD00001009571

• Tumour sample for patient SA230

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA230

  Dataset EGAD00001009524

• Tumour sample for patient SA211

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA211

  Dataset EGAD00001009523

• Tumour sample for patient SA232

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA232

  Dataset EGAD00001009522

• Tumour sample for patient SA234

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA234

  Dataset EGAD00001009525

• Tumour sample for patient SA278

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA278

  Dataset EGAD00001009526

• Tumour sample for patient SA101

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA101

  Dataset EGAD00001009527

• Tumour sample for patient SA212

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA212

  Dataset EGAD00001009528

• Tumour sample for patient SA214

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA214

  Dataset EGAD00001009529

• Tumour sample for patient SA224

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA224

  Dataset EGAD00001009530

• Tumour sample for patient SA225

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA225

  Dataset EGAD00001009531

• Tumour sample for patient SA226

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA226

  Dataset EGAD00001009532

• Tumour sample for patient SA228

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA228

  Dataset EGAD00001009533

• Tumour sample for patient SA229

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA229

  Dataset EGAD00001009534

• Tumour sample for patient SA231

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA231

  Dataset EGAD00001009535

• Tumour sample for patient SA233

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA233

  Dataset EGAD00001009536

• Tumour sample for patient SA237

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA237

  Dataset EGAD00001009537

• Tumour sample for patient SA271

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA271

  Dataset EGAD00001009538

• Tumour sample for patient SA277

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA277

  Dataset EGAD00001009539

• Tumour sample for patient SA284

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA284

  Dataset EGAD00001009540

• Tumour sample for patient SA399

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA399

  Dataset EGAD00001009541

• Tumour sample for patient SA294

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA294

  Dataset EGAD00001009542

• Tumour sample for patient SA285

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA285

  Dataset EGAD00001009543

• Normal sample for patient SA101

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA101

  Dataset EGAD00001009544

• Normal sample for patient SA211

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA211

  Dataset EGAD00001009545

• Normal sample for patient SA212

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA212

  Dataset EGAD00001009546

• Normal sample for patient SA214

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA214

  Dataset EGAD00001009547

• Normal sample for patient SA224

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA224

  Dataset EGAD00001009548

• Normal sample for patient SA225

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA225

  Dataset EGAD00001009549

• Normal sample for patient SA226

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA226

  Dataset EGAD00001009550

• Normal sample for patient SA228

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA228

  Dataset EGAD00001009551

• Normal sample for patient SA229

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA229

  Dataset EGAD00001009552

• Normal sample for patient SA230

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA230

  Dataset EGAD00001009553

• Normal sample for patient SA231

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA231

  Dataset EGAD00001009554

• Normal sample for patient SA232

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA232

  Dataset EGAD00001009555

• Normal sample for patient SA233

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA233

  Dataset EGAD00001009556

• Normal sample for patient SA234

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA234

  Dataset EGAD00001009557

• Normal sample for patient SA237

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA237

  Dataset EGAD00001009558

• Normal sample for patient SA271

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA271

  Dataset EGAD00001009559

• Normal sample for patient SA277

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA277

  Dataset EGAD00001009560

• Normal sample for patient SA278

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA278

  Dataset EGAD00001009561

• Tumour sample for patient SA533

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA533

  Dataset EGAD00001009517

• Tumour sample for patient SA409

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA409

  Dataset EGAD00001009518

• Tumour sample for patient SA420

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA420

  Dataset EGAD00001009519

• Transcriptomic Profile of Colorectal Cancer Samples

  Samples encompass primary colorectal tumors or metastasis of 75 patients, collected by Medical Pathologists from surgically removed specimens. Tissues were embedded in optimal cutting temperature (OCT) medium, snapshot frozen in liquid nitrogen within 40 minutes of collection and preserved at -80ºC. Samples were collected between June 2010 and October 2017 as part of a prospective biobanking project.

  Dataset EGAD00001009506

• Differential Presence of Exons in Cell-Free DNA

  Differential Presence of Exons in Cell-Free DNA Reveals Different Patterns in Colorectal Cancer Between Metastatic, Non-Metastatic Patients and Healthy Donors. 159 samples, Illumina sequencing technology.

  Dataset EGAD00001009510

• Single Cell Genome Sequence for DLP+ library A96141A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA604 passage 8 on DLP+ library A96141A

  Dataset EGAD00001009513

• Tumour sample for patient SA296

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA296

  Dataset EGAD00001009520

• Cancers of Unknow Primary

  genetic data of 14 rigorously selected CUP samples

  Dataset EGAD00001009426

• Single Cell Genome Sequence for DLP+ library A110660A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA610 passage 3 on DLP+ library A110660A

  Dataset EGAD00001009430

• Single Cell Genome Sequence for DLP+ library A96212B

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA604 passage 7 on DLP+ library A96212B

  Dataset EGAD00001009476

• Single Cell Genome Sequence for DLP+ library A96213A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA501 passage 6, cell line SA1090 on DLP+ library A96213A

  Dataset EGAD00001009477

• Single Cell Genome Sequence for DLP+ library A98181A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA919 passage 7, patient-derived xenograft SA1050A passage 1 on DLP+ library A98181A

  Dataset EGAD00001009479

• Single Cell Genome Sequence for DLP+ library A98240A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA530 passage 3 on DLP+ library A98240A

  Dataset EGAD00001009480

• Tracking the evolution of esophageal squamous cell carcinoma under dynamic immune selection by multi-omics sequencing

  Intratumoral heterogeneity (ITH) has been linked to decreased efficacy of clinical treatments. However, although genomic ITH has been characterized in genetic, transcriptomic and epigenetic alterations are hallmarks of esophageal squamous cell carcinoma (ESCC), the extent to which these are heterogeneous in ESCC has not been explored in a unified framework. Further, the extent to which tumor-infiltrated T lymphocytes (TILs) are directed against cancer cells, but how the immune infiltration acts as a selective force to shape the clonal evolution of ESCC is unclear. In this study, we perform multi-omic sequencing on 186 samples from 36 primary ESCC patients. Through multi-omics analyses, it is discovered that genomic, epigenomic, and transcriptomic ITH are underpinned by ongoing chromosomal instability. Based on the RNA-seq data, we observe diverse levels of immune infiltrate across different tumor sites from the same tumor. We reveal genetic mechanisms of neoantigen evasion under distinct selection pressure from the diverse immune microenvironment. Overall, our work offers an avenue of dissecting the complex contribution of the multi-omics level to the ITH in ESCC and thereby enhances the development of clinical therapy.

  Dataset EGAD00001009482

• Single Cell Genome Sequence for DLP+ library A95621B

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA501 passage 2 on DLP+ library A95621B

  Dataset EGAD00001009487

• CASCADE low-pass whole genome sequencing data

  Low-pass whole genome sequencing data (median coverage: 0.37X, range: 0.07X-5.8X) from diagnostic formalin-fixed paraffin-embedded tissue and fresh frozen postmortem tissues from ten organs and postmortem blood from patients who participated in the CASCADE rapid autopsy program and died of metastatic castration resistant prostate cancer. For samples CA27_11, CA34_10, CA35_5, CA35_6, CA36_3, CA36_11, CA63_13, CA63_34, CA76_4, CA76_11, CA79_4, CA83_14 and CA83_26, we subsampled (using `samtools view -s 0.01` after mapping) from respective high coverage data from "CASCADE tumour high-coverage whole genome sequencing data" dataset.

  Dataset EGAD00001009494

• CASCADE tumour transcriptome data

  RNA-Seq data from 20 fresh-frozen postmortem samples from three patients who participated in the CASCADE rapid autopsy program and died of metastatic castration resistant prostate cancer.

  Dataset EGAD00001009492

• CASCADE germline whole genome sequencing data

  High-coverage whole genome sequencing data (median coverage: 23.5X, range: 14.14X-32.62X)) from white blood cells of the patients from isolated buffy coat of the blood drawn postmortem from patients who participated in the CASCADE rapid autopsy program and died of metastatic castration resistant prostate cancer.

  Dataset EGAD00001009493

• Tumour sample for patient SA597

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA597

  Dataset EGAD00001009521

• Normal sample for patient SA997

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA997

  Dataset EGAD00001009573

• Normal sample for patient SA998

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA998

  Dataset EGAD00001009574

• Tumour sample for patient SA416

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA416

  Dataset EGAD00001009575

• Normal sample for patient SA597

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA597

  Dataset EGAD00001009572

• Normal sample for patient SA095

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA095

  Dataset EGAD00001009600

• Tumour sample for patient SA400

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA400

  Dataset EGAD00001009576

• Tumour sample for patient SA290

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA290

  Dataset EGAD00001009577

• Tumour sample for patient SA288

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA288

  Dataset EGAD00001009578

• Tumour sample for patient SA299

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA299

  Dataset EGAD00001009579

• Tumour sample for patient SA095

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA095

  Dataset EGAD00001009580

• Tumour sample for patient SA415

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA415

  Dataset EGAD00001009581

• Normal sample for patient SA718

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA718

  Dataset EGAD00001009582

• Normal sample for patient SA720

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA720

  Dataset EGAD00001009583

• Tumour sample for patient SA718

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA718

  Dataset EGAD00001009584

• Tumour sample for patient SA720

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA720

  Dataset EGAD00001009585

• Normal sample for patient SA1017

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1017

  Dataset EGAD00001009586

• Normal sample for patient SA1026

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1026

  Dataset EGAD00001009587

• Normal sample for patient SA1027

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1027

  Dataset EGAD00001009588

• Normal sample for patient SA1028

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1028

  Dataset EGAD00001009589

• Normal sample for patient SA1040

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1040

  Dataset EGAD00001009590

• Normal sample for patient SA1064

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1064

  Dataset EGAD00001009591

• Normal sample for patient SA1065

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1065

  Dataset EGAD00001009592

• Normal sample for patient SA1069

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1069

  Dataset EGAD00001009593

• Normal sample for patient SA1073

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1073

  Dataset EGAD00001009594

• Normal sample for patient SA1074

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1074

  Dataset EGAD00001009595

• Normal sample for patient SA576

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA576

  Dataset EGAD00001009596

• Normal sample for patient SA610

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA610

  Dataset EGAD00001009597

• Normal sample for patient SA992

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA992

  Dataset EGAD00001009598