Colorectal cancer functional annotation - Micro-C
Ultra high resolution Micro-C data from multiple colorectal cancer cell lines
Study
EGAS50000000206
RNA-sequencing of Non-muscle Invasive Bladder cancer (NMIBC)
This RNA-sequencing cohort includes 78 Non-muscle Invasive Bladder cancer (NMIBC) samples and 7 Muscle Invasive Bladder cancer (MIBC) samples.
Study
EGAS00001004358
Pancreatic Cancer NGS WGS data
Whole genome sequencing data for Pancreatic Cancer Samples exploring the tandem duplicator phenotype
Study
EGAS50000001078
Cerebral organoid model reveals excessive proliferation of human caudal late interneuron progenitors in Tuberous Sclerosis Complex
Although the intricate and prolonged development of the human brain critically distinguishes it from other mammals, our current understanding of neurodevelopmental diseases is largely based on work using animal models. Recent studies revealed that neural progenitors in the human brain are profoundly different from those found in rodent animal models. Moreover, post-mortem studies revealed extensive migration of interneurons into the late-gestational and post-natal human prefrontal cortex that does not occur in rodents. Here, we use cerebral organoids to show that overproduction of mid-gestational human interneurons causes Tuberous Sclerosis Complex (TSC), a severe neuro-developmental disorder associated with mutations in TSC1 and TSC2. We identify a previously uncharacterized population of caudal late interneuron progenitors, the CLIP-cells. In organoids derived from patients carrying heterozygous TSC2 mutations, dysregulation of mTOR signaling leads to CLIP-cell over-proliferation and formation of cortical tubers and subependymal tumors. Surprisingly, second-hit events resulting from copy-neutral loss-of-heterozygosity (cnLOH) are not causative for but occur during the progression of tumor lesions. Instead, EGFR signaling is required for tumor proliferation, opening up a promising approach to treat TSC lesions. Our study demonstrates that the analysis of developmental disorders in organoid models can lead to fundamental insights into human brain development and neuropsychiatric disorders.
Study
EGAS00001004586
ICGC PanCancer Analysis of Whole Genomes
The Pancancer Analysis of Whole Genomes (PCAWG) study is an international collaboration to identify common patterns of mutation in more than 2,800 cancer whole genomes from the International Cancer Genome Consortium. Building upon previous work which examined cancer coding regions (Cancer Genome Atlas Research Network, The Cancer Genome Atlas Pan-Cancer analysis project, Nat. Genet. 2013 45:1113), this project is exploring the nature and consequences of somatic and germline variations in both coding and non-coding regions, with specific emphasis on cis-regulatory sites, non-coding RNAs, and large-scale structural alterations.
Study
EGAS00001001692
Circulating immune cell landscape in colorectal cancer patients
To understand the circulating immune cells in colorectal cancer patients, we performed single-cell RNA sequencing for 14 PBMC samples from 14 colorectal cancer patients.
Study
EGAS50000000590
High volume culture initiating in vitro evolution in neuroblastoma cell lines
Despite the advent of advanced molecular prognostic tools, it is still difficult to predict the course of disease for cancer patients at the individual level. This lack of predictability is also reflected in many experimental cancer model systems, begging the question of whether certain biological aspects of cancer (eg. growth, evolution etc.) can ever be anticipated or if there remains an inherent unpredictability to cancer, similar to other complex biological systems. We demonstrate by a combination of agent-based mathematical modelling, analysis of patient-derived xenograft systems from multiple cancer types, and in-vitro culture that certain conditions may invoke chaotic fluctuations in the clonal landscape of cancer growth. Our findings indicate that under those conditions, the cancer genome may behave as a complex dynamic system, making its long-term evolution inherently unpredictable.
Study
EGAS00001007962
Single molecule genome-wide mutation profiles of cell-free DNA for non-invasive detection of cancer
Somatic mutations are a hallmark of tumorigenesis and may be useful for non-invasive diagnosis of cancer. We analyzed whole-genome sequencing (WGS) data from 2,511 individuals in the Pan-Cancer Analysis of Whole Genomes (PCAWG) study as well as 489 individuals from four prospective cohorts and found distinct regional and mutation type specific frequencies in tissue and cell-free DNA (cfDNA) of cancer patients that were associated with replication timing and other chromatin features. A machine learning model using genome-wide mutational profiles combined with other features and followed by CT imaging detected >90% of lung cancer patients, including those with stage I and II disease. The fixed model was validated in an independent cohort, detected patients with cancer earlier than standard approaches, and could be used to monitor response to therapy. This approach lays the groundwork for non-invasive cancer detection using genome-wide mutation features that may facilitate cancer screening and monitoring.
Study
EGAS00001007248
CLL_targeted_exome_sequencing
Aim to characterise cancer gene landscape in CLL, particularly in cases with mutated POT1 gene. Treatment-naïve CLL cases will be interrogated by targeted exome sequencing using a cancer gene panel.
Study
EGAS00001001963
Reference_DNA_standards_for_GCLP_pipeline
The use of reference DNA standards generated from cancer cell lines sequenced in the Cancer Genome Project to establish the sensitivity, specificity, accuracy and reproducibility of the WTSI GCLP sequencing pipeline
Study
EGAS00001001173
Targeted_analysis_of_chondrosarcoma_cancer_genes
Targeted analysis of chondrosarcoma cancer genes
Study
EGAS00001001765
Human pan-cancer plasma cfRNA study - raw data
This study contains mRNA capture sequencing data from plasma of 266 different human donors. The first, pan-cancer, cohort covers 25 high-grade to metastatic cancer types (8 cancer patients per type) and a control group (8 healthy donors). The validation cohort comprises additional plasma samples from ovarian, prostate and uterine cancer patients (12 per type) as well as additional samples from controls (22 new and 8 repeated).
Samples were sequenced on a NovaSeq 6000 and are provided in FASTQ format.
Study
EGAS00001006755
Epigenomic profile of diverse cancer
Epigenomic profile of diverse cancer.
Study
EGAS00001004352
Exome sequencing of 142 gastric cancer and matched normal from Japanese cohorts (UT)
As a contribution to the International Cancer Genome Consortium, exome sequencing of 142 Japanese gastric cancer with various histological subtypes have been conducted. This study aims to identify unique and common driver genes and molecular subtypes in Japanese gastric cancer. Please refer ICGC website for detail: http://icgc.org/icgc/cgp/69/420/1012357
Study
EGAS00001002891
Exome sequencing of 102 gastric cancer and matched normal from Japanese cohorts (YCU)
As a contribution to the International Cancer Genome Consortium, exome sequencing of 102 Japanese gastric cancer with various histological subtypes have been conducted. This study aims to identify unique and common driver genes and molecular subtypes in Japanese gastric cancer. Please refer ICGC website for detail: http://icgc.org/icgc/cgp/69/420/1012357
Study
EGAS00001002892
WGS of gastric cancer in the Japanese population (81 gastric cancers of NCC)
As a contribution to The International Cancer Genome Consortium Accelerating Research in Genomic Oncology (ICGC ARGO), whole-genome sequencing of 81 cases from Japanese gastric cancer with various histological subtypes has been conducted.
This study aims to reveal the landscape of structural variants (SV) in gastric cancer and analyze mutational and rearrangement signatures simultaneously
Study
EGAS00001006051
Evaluation of the ERa binding region activity in breast and endometrial cancer
Evaluate the activity of ERa binding site activity in breast and endometrial cancer.
Study
EGAS50000000009
RNA_sequencing
All cancers arise due to somatically acquired mutations in their genomes which alter the function of key cancer genes. Understanding the critical mutational events underlying the development of cancer is paramount for advancing prevention, early detection and effective treatment of the disease. Breast cancer is the most common cause of cancer death among women. Extraordinary recent advances in sequencing now make it a realistic aim to sequence large numbers of breast cancer genomes to find somatic mutations on a massive scale. NB bam files for manuscript A_Proteomic_Chronology_of_Gene_Expression_through_the_Cell_Cycle_in_Human_Myeloid_Leukemia_Cells are now available at the following link:http://www.ebi.ac.uk/ena/data/view/ERP008483
Study
EGAS00001000310
Disease recurrence after pathologic response (Recurrence DNAseq)
In this study we aim to gain insight into the mechanisms of immune evasion after initial pathologic response to neoadjuvant immune checkpoint inhibition in macroscopic stage III melanoma by pooling data of the neoadjuvant OpACIN, OpACIN-neo and PRADO trials(EGAD00001012116, EGAS00001004832, EGAD00001006730, EGAS50000000268). Therefore we analyzed in-depth paired baseline(n=10) and recurrent tumor samples of the lymph nodes(n=10) and brain metastasis (n=2) through Whole Exome Sequencing (WES) analyses. Additionally we incorporated transcriptome sequencing data from 22 patients (21 paired-end samples and one single end sample)
Study
EGAS50000000488
High-resolution profile of neoantigen-specific TCR activation links moderate stimulation to increased resilience of engineered TCR-T cells
Neoantigen-specific T cell receptors (neoTCRs) promise safe, personalized anti-tumor immunotherapy. Previously, we identified diverse neoTCRs restricted to different neoantigens in a melanoma patient. In this work, we now combined single-cell TCR- and RNA-sequencing after neoantigen-specific restimulation of peripheral blood-derived CD8+ T cells of this patient. We detected novel neoTCRs with specificity to the previously detected neoantigens and observe a heterogeneous spectrum of TCR-intrinsic activation patterns in response to a shared neoepitope ranging from previously detected higher frequent neoTCRs with moderate activation to rare ones with initially stronger activation.
Study
EGAS50000000600
scRNA-seq of patient-derived PDAC organoids and matched CAFs
We established direct three-dimensional (3D) co-cultures of primary PDAC organoids and patient-matched CAFs. Single-cell RNA sequencing was performed for three organoid/CAF pairs in mono- and co-culture to uncover transcriptional changes induced by tumor-stroma interaction. Single-cell RNA sequencing data evidenced induction of a pro-inflammatory phenotype in CAFs in co-cultures. Organoids showed increased expression of genes associated with epithelial-to-mesenchymal transition (EMT) in co-cultures and several potential receptor-ligand interactions related to EMT were identified, supporting a key role of CAF-driven induction of EMT in PDAC chemoresistance.
Study
EGAS00001006661
PanProstate Cancer Group DK data
THE PAN PROSTATE CANCER PROJECT: Many groups around the world have generated Whole Genome DNA Sequence (WGS) data from prostate cancer patients. The pan prostate group have gathered with the idea that the accumulated data, should be collected and compared in a common format including common storage, re-analysis through a single pipeline, and investigation to achieve a variety of scientific goals. The combined collection would include the following categories: (i) cancers from different ethnic groups: eg Caucasian, Asian, Black Caribbean; (ii) cancer from different stages of progression from normal, to organ-confined disease, to metastases; (iii) early-onset prostate cancer; (iv) prostate cancer from aggressive and indolent disease; and (v) prostate cancer patients managed by different treatments with information linked to long-term clinical follow up data in many cases.This study contains the samples from the Danish prostate group.
Study
EGAS50000001616
Patient-derived models of primary breast cancer for preclinical development of novel neoadjuvant therapies
Generation of the first large-scale cohort of mouse intraductal patient-derived xenograft (MIND-PDX) models of primary invasive breast cancer (IBC) and a collection of matched PDX-derived organoids (PDXO) representing all molecular subtypes of IBC, including estrogen receptor (ER-) positive breast cancer. Furthermore, we show that our IBC-MIND cohort can serve as a platform to test experimental neoadjuvant treatment options in different molecular subtypes of breast cancer.
Study
EGAS50000000398
Clinical activity and molecular correlates of response to atezolizumab alone or in combination with bevacizumab versus sunitinib in renal cell carcinoma
We examined pre-treatment tumors from participants of the IMmotion150 trial. Biomarker analyses indicate that high angiogenesis gene expression was associated with improved PFS within the sunitinib arm, and high T-effector/IFNγ response (Teff) gene expression with longer PFS in atezolizumab + bevacizumab vs sunitinib patients. In high Teff tumors, concomitant high myeloid inflammation was associated with worse PFS in the atezolizumab monotherapy arm; adding bevacizumab to atezolizumab in this subgroup improved PFS vs atezolizumab. Molecular profiles suggest that prediction of outcomes with VEGF inhibitors and immunotherapy may be possible in mRCC, and bevacizumab may overcome myeloid inflammation-associated atezolizumab resistance.
Study
EGAS00001002928
whole-genome sequencing of gastric cancer
Gastric cancer is one of the most common cancers. Genome-wide analysis of genomic signatures might reveal novel mechanisms for gastric cancer tumorigenesis. Here, we analyzed structural variations and mutational signatures via whole-genome sequencing of 168 gastric cancer samples. Our data demonstrates diverse models of complex structural variations operative in GC, which lead to high-level amplification of oncogenes.
Study
EGAS00001003512
Evolution_of_the_cancer_epigenome_in_myeloproliferative_neoplasms_
Evolution of the cancer epigenome in myeloproliferative neoplasms.
Study
EGAS00001001941
Assessment of genomic copy number alterations in breast cancer
The aim of this study was to assess genomic copy number alterations in a panel of breast cancer cell lines. These data were used to identify common aberrations associated with breast cancer, and also to identify aberrations associated with response to therapeutic compounds.
Study
EGAS00000000059
A clinically and genomically annotated Early onset colorectal cancer and late onset colorectal cancer
This study aimed to identify genomic characteristics of early-onset colorectal cancer (EOCRC) compared to late-onset cases. Whole-genome sequencing (WGS) was performed on EOCRC and late-onset colorectal cancer (LOCRC) tissues and blood samples to analyze their genomic profiles.
Study
EGAS50000000544
Metastatic_Prostate_Follow_Up_2
Validation/deeper sequencing for metastatic prostate cancer samples
Study
EGAS00001000756
Metastatic_Prostate_Follow_Up
Validation/deeper sequencing for metastatic prostate cancer samples
Study
EGAS00001000730
LICA-CN project - 116 liver cancer cases
LICA-CN project - 116 liver cancer cases
Study
EGAS00001002300
CIAO Clinical Trial
Whole exome and RNA sequencing for samples from CIAO (Checkpoint Inhibitors Assessment in Oropharynx cancer) (NCT03144778) clinical trial testing neoadjuvant anti-PD-L1 durvalumab with or without the anti-CTLA-4 tremelimumab in oropharynx cancer
Study
EGAS50000001174
germline variants in children with hematological cancer
Trio parent-child whole exome sequencing has been used to identify cancer predisposing syndrome (CPS) in our pediatric patients with hematological cancer, and it was identified in 3.8% of the total number of patients(131).
Study
EGAS00001006907
AVENIO Expanded ctDNA panel sequence alignments (BAMs) from plasma DNA of lung cancer patients from the OSCILLATE trial
The AVENIO ctDNA Expanded Kit is a next-generation sequencing (NGS) liquid biopsy assay with a 77 gene panel (192 kb) containing genes in U.S. National Comprehensive Cancer Network (NCCN) Guidelines and emerging cancer biomarkers. This pan-cancer assay was applied to 100 plasma samples from patients with lung cancer undergoing treatment in the OSCILLATE trial. After 150 bp paired-end sequencing, reads were aligned to the human genome reference with the AVENIO Oncology Analysis Software. These files are the sorted non-deduplicated alignments generated by the analysis software used for subsequent variant, indel and CNV calling.
Study
EGAS50000000103
The landscape of somatic mutations in epigenetic regulators across 1000 pediatric cancer genomes
To define the frequency and pattern of somatic mutations in epigenetic regulators in pediatric cancer, we sequenced 633 genes, encoding the majority of proteins involved in patterning the epigenome, in 1000 pediatric tumors spanning 21 different cancer subtypes. This analysis establishes an epigenetic landscape of pediatric cancer, which expands the knowledge for potential therapeutic targets and for developing personalized therapy.
Study
EGAS00001000449
Genetic Alterations in Benign Breast Biopsies of Subsequent Breast Cancer Patients
Fibrocystic changes are associated with an increased risk of breast cancer (approximately 1.5-2 times that of the general population). Although the relative risk seems low, because of the high frequency of such changes, the absolute risk is significant. Genetic alterations have been found in fibrocystic changes with or without epithelial changes, suggesting that critical oncogenic events are occurring at an early stage. We investigated a unique collective of 17 breast cancer patients who, prior to the diagnosis of invasive breast cancer, underwent open surgical biopsy showing fibrocystic changes of the breast. Massive parallel sequencing targeting genes frequently mutated in breast cancer was performed on the fibrocystic breast tissue as well as the ensuing cancer tissue.
Study
EGAS00001003563
Metastatic_Breast_Cancer_Whole_Genome
We propose to definitively characterise the somatic genetics of Metastatic breast cancer through generation of comprehensive catalogues of somatic mutations in Metastatic breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.
Study
EGAS00001000902
Breast_Cancer_FRT_RNA_seq
We propose to definitively characterise the somatic genetics of ER+ve, HER2-ve breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.
Study
EGAS00001000420
Triple_Negative_Breast_Cancer_RNA_Sequencing
We propose to definitively characterise the somatic genetics of triple negative breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.
Study
EGAS00001000377
SAPCS Blood RNA-seq of prostate cancer patients
The study aims to quantify the gene expression in blood samples in 20 prostate cancer patients under the Southern African Prostate Cancer Study (SAPCS). The objective is to identify a list of differentially expressed genes.
Study
EGAS50000000702
Targeted sequencing of breast cancer susceptibility genes for 1,995 Japanese breast cancer patients
In this study, we investigated pathogenic germline variants in 11 genes implicated in hereditary breast cancer, including BRCA1, BRCA2, TP53, PTEN, CDH1, STK11, NF1, PALB2, ATM, CHEK2, NBN1, in a total of 1,995 unselected Japanese women with breast cancer using targeted-capture sequencing of pooled DNA (n = 106).
Study
EGAS00001004630
Germline genome sequencing samples from the Hereditary Cancer Syndromes (ICCon) Cancer Flagship
A prospective study of individuals with suspicion of a hereditary cancer syndrome for whom previous clinical targeted genetic testing was either not informative or was not available. To identify pathogenic disease-causing variants explaining participant presentation, germline whole-genome sequencing and a comprehensive cancer virtual gene panel analysis were undertaken.
Study
EGAS00001007045
FFPE_Normal_Panel_V3_Cancer_Panel
FFPE normal panel generation for use with V3 cancer panel 0618521
Study
EGAS00001000836
Colorectal cancer functional annotation - RNAseq
RNA-seq data from multiple colorectal cancer cell lines
Study
EGAS50000000208
Predictive value of chromosome 18q11.2-q12.1 loss for benefit from bevacizumab in metastatic colorectal cancer; a post-hoc analysis of the randomized controlled trial AGITG-MAX
Patients and methods: We analyzed tumor samples of 256 patients enrolled in the AGITG-MAX 3-arm randomized controlled trial (RCT) who were randomly assigned to receive either capecitabine, or capecitabine and bevacizumab with- or without mitomycin. Chromosome 18q11.2-q12.1 copy number status was measured and correlated with PFS according to a predefined analysis plan with marker-treatment interaction as the primary end-point.Results: Chromosome 18q11.2-q12.1 losses were detected in 71% of patients (181/256) characteristic for mCRC. Consistent with the non-randomized study, significant PFS benefit of bevacizumab was observed in chromosome 18q11.2-q12.1 loss patients (P=0.009), and not in 18q no-loss patients (P=0.67). Although significance for marker-treatment interaction was not reached (Pinteraction = 0.28), hazard ratio and 95% confidence interval (HRinteraction 0.72, CI 0.39 - 1.32) show striking overlap with the non-randomized study cohorts (HRinteraction 0.41, CI 0.32 - 0.8) supported by a non-significant Cochrane chi-squared (P=0.11) for heterogeneity. Conclusions: PFS characteristics for marker positive- and negative patients randomized for treatment with- or without bevacizumab were consistent with those of the non-randomized discovery study, though the number of AGITG-MAX samples fell short to reach significance for marker-treatment interaction. Post-hoc analysis of the AGITG-MAX RCT provides supportive evidence for chromosome 18q11.2-q12.1 as a clinically relevant predictive marker for mCRC patients.
Study
EGAS00001005453
SNP array datas of 'Matched' cancer/PNE
SNP array data of 31 Matched cancer/PNE samples
Study
EGAS00001003331
Whole-genome sequencing identifies ADGRG6 enhancer mutations and FRS2 duplications as angiogenesis-related drivers in bladder cancer
Bladder cancer is one of the most common and highly vascularized cancers. To better understand its genomic structure and underlying etiology, we conducted whole-genome sequencing in 65 urothelial bladder carcinomas (the most common type of bladder cancer) and identified recurrent genetic alterations in a set of angiogenesis genes, facilitating the understanding of molecular mechanisms underlying pathological angiogenesis in this type of cancer.
Study
EGAS00001003388
Targeted sequencing of candidate regions on chromosome 22q predisposing to multiple schwannomas
Constitutional LZTR1 or SMARCB1 pathogenic variants have been found in ~86% of familial and ~40% of sporadic schwannomatosis cases. Hence, we performed massively parallel sequencing of the entire LZTR1, SMARCB1 and NF2 genomic loci in 35 individuals with schwannomas negative for constitutional first-hit pathogenic variants in the LZTR1/SMARCB1/NF2 coding sequences, however with 22q deletion and/or a different NF2 pathogenic variant in each tumor, including six cases with only one tumor available. Furthermore, we verified whether any other LZTR1/SMARCB1/NF2 (likely) pathogenic variant(s) could be found in 16 cases carrying a SMARCB1 constitutional variant in the 3’ untranslated region (3’-UTR) c.*17C>T, c.*70C>T or c.*82C>T. As no additional variants were found, functional studies were performed to clarify the effect of these 3’-UTR variants on the transcript. The 3’-UTR variants c.*17C>T and c.*82C>T showed pathogenicity by negatively affecting SMARCB1 transcript level. Two novel deep intronic SMARCB1 variants, c.500+883T>G and c.500+887G>A, resulting in out-of-frame missplicing of intron 4, were identified in two unrelated individuals. Further resequencing of the entire repeat - masked genomics sequences of chromosome 22q in individuals negative for pathogenic variants in the SMARCB1/LZTR1/NF2 coding- and non-coding regions revealed five potential schwannomatosis-predisposing candidate genes, i.e. MYO18B, NEFH, SGSM1, SGSM3 and SBF1, pending further verification.
Study
EGAS00001005680
Pseudogene_RNAseq
RNA sequencing to validate findings of somatic pseudogenes acquired during cancer development
Study
EGAS00001000606
Chugai_colorectal_organoid_sequencing
Genomic and transcriptomic characterization of drug-resistant colon cancer stem cell lines.
Study
EGAS00001000872
RNAseq_Pulldown_
We propose to definitively characterise the somatic genetics of ER+ve, HER2-ve breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses. In this experiment cDNA derived form Breast Cancer Cell lines was used in an Agilent whole exome pulldown experiment.
Study
EGAS00001000230
Ontario Institute for Cancer Research; Biliary Tract Cancer
Next Generation Sequencing data from Biliary Tract cancers
Study
EGAS50000000972
GIST_SSGXVIII_trial_targeted_gene_sequencing
Targeted cancer gene sequencing of samples enrolled in the SSGXVIII trial from Finland.
Study
EGAS00001001054
The_genetic_evolution_of_precursor_lesions_in_pancreatic_cancer
Mapping genetic evolution of pancreatic cancer precursor lesions such as IPMNs and PanINs.
Study
EGAS00001001573
IACS treatment on breast cancer bone metastases
Off-target effect of IACS on breast cancer bone metastases.
Study
EGAS00001006908
Whole-Exome Sequencing analyses in tamoxifen-associated endometrial cancer
An increased incidence of endometrial cancer has been described for patients that have received tamoxifen to treat breast cancer. Using samples from endometrial tumors, isolated from surgivcal specimens of patients who previously received tamoxifen treatment for breast cancer, we aimed to identify whether there are specific somatic mutations enriched in this population, relative to endometrial tumors from the general population. For this, WES was performed on matched endometrial tumors and healthy tissue (n=21).
Study
EGAS00001006453
INVADE cohort
Cohort of bulk RNAseq data from DCIS, invasive and microinvasive breast cancer at diagnosis. This dataset covers 18 DCIS cases, 17 microinvasive and 20 primary invasive breast cancer.
Study
EGAS50000000219
Organoid_Derivation_Project___GRCh38___RNAseq
Generation of normal and cancer organoids for sequencing as part of the WTSI-CRUK international collaboration with NCI (in HCMI) to generate the next generation of cancer cell lines.
Study
EGAS00001004677
Organoid_Derivation_Project___GRCh38___TGS
Generation of normal and cancer organoids for sequencing as part of the WTSI-CRUK international collaboration with NCI (in HCMI) to generate the next generation of cancer cell lines.
Study
EGAS00001007349
Organoid_Derivation_Project___GRCh38___WGS
Generation of normal and cancer organoids for sequencing as part of the WTSI-CRUK international collaboration with NCI (in HCMI) to generate the next generation of cancer cell lines
Study
EGAS00001004712
cfDNA in Hereditary And High-Risk Malignancies (CHARM)
Our goal is to improve early cancer detection by developing a blood test to predict cancer development in carriers using circulating DNA. As carriers develop cancer, they may have pre-cancerous cells which release this DNA into the blood (cell-free DNA; cfDNA), which can be detected with novel genetic technologies. We propose to use three complementary cfDNA assays:shallow whole genome sequencing (sWGS), Liquid-Biopsy Sequencing (LB-Seq) and Cell-free Methylated DNA Immunoprecipitation and High-throughput Sequencing (cfMeDip-Seq) for early cancer detection.
Study
EGAS00001006539
Enrichment of homologous recombination repair alteration in prostate cancer brain metastases
Whole-exome sequencing profiling of prostate cancer brain metastases
Study
EGAS00001005091
Chordoma_Sequencing_Project_RNAseq
This is a continuation of the Chordoma Sequencing Project. All cancers arise due to somatically acquired abnormalities in DNA sequence. Systematic sequencing of cancer genomes allows acquisition of complete catalogues of all classes of somatic mutation present in cancer. These mutation catalogues will allow identification of the somatically mutated cancer genes that are operative and characterise patterns of somatic mutation that may reflect previous exogenous and endogenous mutagenic exposures. In this application, we aim to perform whole genome sequencing on 10 chordoma matched genome pairs. RNA Sequencing/Methylation and SNP6 and an additional sequencing of three cancer cell lines will be added to this work.
Study
EGAS00001000410
Whole exome sequencing of Finnish hereditary breast cancer families
A remarkable proportion of factors causing genetic predisposition to breast cancer (BC) are unknown in non-BRCA1/2 families. Exome sequencing was performed for 13 high-risk Finnish hereditary breast and/or ovarian cancer (HBOC) families to detect variants contributing to BC susceptibility
Study
EGAS00001001835
Validation_for_human_early_embryonic_substitutions_
PCR and MiSeq validation for early embryonic substitution candidates from 400 Breast cancer patients
Study
EGAS00001001218
Orphan_Tumour_Study_NB_sNuc_WGS
The aim of this study is to investigate the genomic landscape of human cancer.
Study
EGAS00001006837
End motifs analysis of circulating DNA from the plasma of patients with stage II-III breast cancer (n=50), stage I-III non-small cell lung cancer (n=56), metastatic colorectal cancer (mCRC) (n=15) and healthy individuals (n=37)..
We have developed an algorithm designed to discriminate cancer patients and healthy individuals based on cirDNA fragment end motif analysis assisted by machine learning, using data obtained from shallow whole genome sequencing (a method we call EMA). We applied EMA to cirDNA from the plasma of patients with stage II-III breast cancer, stage I-III non-small cell lung cancer, and metastatic colorectal cancer (mCRC). CirDNA from 158 individuals was prepared following the conventional double-stranded DNA library preparation (DSP). We also performed a single-stranded DNA library preparation (SSP) using mCRC patients and healthy control cirDNA, which allowed us to make the first ever end motif analysis in the literature which compares the use of DSP and SSP.
Study
EGAS50000001319
Molecular Signature of Saudi Thyroid Cancer Using whole exome sequencing
In Saudi Arabia, thyroid cancer ranked second only to breast cancer among females, eleventh among males and this increased incidence is prevalent in other Gulf Council Countries also. Differentiated thyroid cancer, which includes papillary thyroid cancer (PTC) and follicular subtypes, accounts for 90% of all thyroid malignancies. Currently, there are no clinical or molecular diagnostic tools to predict recurrence and aggressiveness of a subset of PTC. With the goal of better understanding the pathobiology of thyroid carcinogenesis we will use Whole Exome Sequencing to decipher the molecular and genetic signature of Saudi PTC based on International Cancer Genome Consortium (ICGC) Guidelines. The study will provide a better understanding of PTC and should have important clinical implications in the development of new and better strategies for targeted therapeutic intervention for the treatment of Saudi Arabian PTC
Study
EGAS00001000680
WGS of cord blood hematopoietic stem and progenitor cells
In this study, the mutational effects of prenatal chemotherapy exposure on cord blood hematopoietic stem and progenitor cells was investigated in cord blood samples taken from 10 healthy pregnant women, 4 pregnant cancer patients receiving no systemic anti-cancer treatment during pregnancy and 12 pregnant cancer patients receiving chemotherapy during pregnancy. Sequencing was performed on Illumina platforms.
Study
EGAS50000000288
Colorectal_organoids_and_tumour_tissue___Whole_Genome_X10
Whole genome sequencing of single cell derived organoids from normal colon tissue and colorectal cancer.
Study
EGAS00001001100
Machine learning guided signal enrichment for ultrasensitive plasma tumor burden monitoring
Development of a novel machine learning guided ctDNA detection platform for use in liquid biopsy detection and therapeutic monitoring of solid tumors in several clinical contexts. Included are WGS alignments from our study.
Study
EGAS00001007306
Organoid_Derivation_Pilot__RNAseq
Generation of normal and cancer organoids for sequencing as part of the WTSI-CRUK international collaboration with NCI (in HCMI) to generate the next generation of cancer cell lines.
Study
EGAS00001002223
BCAC TIIC Data
Data on spatially-resolved tissue infiltrating immune cells (TIICs) from 17,265 breast cancer patients of European descent, from studies participating in the Breast Cancer Association Consortium, together with linked clinical data.
Study
EGAS50000001477
Organoid_Derivation_Project__WGS
Generation of normal and cancer organoids for sequencing as part of the WTSI-CRUK international collaboration with NCI (in HCMI) to generate the next generation of cancer cell lines
Study
EGAS00001002222
CRUK-ICGC Prostate Cancer Group Study
Prostate cancer somatic genomic sequencing data generated from 2011 onwards under auspices of the International Cancer Genome Consortium Prostate Cancer UK consortium (CRUK-ICGC Prostate Group), co-led by Colin Cooper and Ros Eeles, with other Principal Investigators (Brewer, Neal, Bova, McDermott, Wedge, Lynch, Massie, and Foster) and others as listed in study publications. Funded by Cancer Research UK and other funders as listed in study publications. Contents and publications related to each dataset are described with each dataset (EGAD) entry.
Our study was funded with the ambition of collecting Whole Genome DNA sequence data from 250 prostate cancers, with matching transcriptome and methylome data.
The original aims of the project were:
1.To understand the significance of multifocal prostate cancer.
2.To understand the clinical heterogeneity of prostate cancer to devise markers for predicting outcome and for drug targeting.
3.To understand the molecular basis of development and spread of castration-resistant and metastatic disease
4.To understand the aetiology of prostate cancer particularly the large variation in incidences that occur in different populations and ethnic groups.
Please see https://doi.org/10.5281/zenodo.4022439 for links between sample IDs reported in literature and EGA IDs.
Study
EGAS00001000262
Mutant p53 confers gain-of-function transcriptional activity in liver cancer
Mutant p53 confers gain-of-function transcriptional activity in liver cancer
Study
EGAS00001005779
RESOLVE_trial_targeted_sequencing_data
RESOLVE: Abemaciclib + Letrozole +/_- Metformin, Zotatifin, or Gedatolisib in Endometrial or Low-Grade Serous Ovarian Cancer
Study
EGAS50000001202
Whole Genome Sequence and RNASeq Samples for Lung Cancer
Short Read Whole Genome Sequence and RNASeq Samples for Lung Cancer
Study
EGAS00001007832
Single-cell profiling of neoantigen-specific T cells in lung cancers treated with neoadjuvant PD-1 blockade
We study the expression profile of MANA-specific T cells, we used the MANA functional expansion of specific T cells (MANAFEST) assay in neoadjuvant anti-PD-1-treated lung cancers and applied their T cell receptor’s (TCR) complementarity-determining region 3 (CDR3) as a “barcode” to track and analyze their transcriptional programs in the tumor microenvironment using single cell TCR sequencing coupled with single cell RNA sequencing. We revealed distinct phenotype for MANA- and virus-specific clones in TIL and adjacent normal lung, regardless of response. MANA-specific T cells show features that drive the differences between responders and non-responders.
Study
EGAS00001005343
RNAseq data to study PRPF6 regulated splice forms in colon cancer cell lines
Alternative splicing plays critical roles in differentiation, development, and cancer (Pettigrew et al., 2008; Chen and Manley, 2009). The recent identification of specific spliceosome inhibitors has generated interest in the therapeutic potential of targeting this cellular process (van Alphen et al., 2009). Using an integrated genomic approach, we have identified PRPF6, an RNA binding component of the pre-mRNA spliceosome, as an essential driver of oncogenesis in colon cancer. Importantly, PRPF6 is both amplified and overexpressed in colon cancer, and only colon cancer cells with high PRPF6 levels are sensitive to its loss. Our data clearly point to an important role for PRPF6 in colon cancer growth and suggest that a better understanding of its role in alternative splicing in colon cancer is warranted. To determine the specific alternative splice forms that PRPF6 regulates in colon cancer, we plan three experiments: 1. The first involves knocking down expression of PRPF6 in two different cancer cell lines with 3 different siRNAs, and then completing RNA-seq to determine the gene expression changes that occur relative to a non-targeting control siRNA. Because of the role for PRPF6 in pre-mRNA splicing, we especially want to quantify the changes in splice-specific forms of all genes genome-wide to identify genes whose splicing is altered upon PRPF6 knockdown. 2. The second involves immunoprecipitating PRPF6 from two different cancer cell lines and isolating any RNA that is bound to PRPF6, since PRPF6 is an RNA-binding protein. We then want to carry out RNA-seq to identify which RNA molecules co-immunoprecipitated with PRPF6. This will help us determine possible functions for PRPF6 in regulating colon cancer growth. 3. The third involves overexpressing PRPF6 in cell lines and then carrying out RNA-seq to identify any changes in splice-specific gene expression. This will allow us to determine whether increased PRPF6 expression is sufficient to drive alternative splicing changes.
Study
EGAS00001000761
COMPASS Next Generation Sequencing WGS data
Whole genome sequencing data for Pancreatic Cancer Samples from the COMPASS clinical trial
Study
EGAS50000001091
RNA-seq data from Non Small Cell Lung Cancer (NSCLC) samples
RNA-seq data from Non Small Cell Lung Cancer (NSCLC) samples
Study
EGAS00001004032
Palbociclib resistance analyses on breast cancer bone metastasis PDX
Identify mecanisms of metastatic breast cancer resistance to palbociclib by RNAseq analyses.
Study
EGAS00001006428
Chromatin immunoprecipitation linked to next-generation whole genome sequencing (ChIP-Seq) for H3K36me3 in paediatric high grade glioma cell lines KKNS4 and SF188 with and without a G34V mutation in H3F3A
Glioblastomas of children and young adults have a median survival of only 12-15months and are clinically and biologically distinct from histologically similar cancers in older adults1. They are defined by highly specific mutations in the gene encoding the histone H3.3 variant H3F3A2, occurring either at or close to key residues marked by methylation for regulation of transcription – K27 and G34. We performed chromatin immunoprecipitation linked to next-generation whole genome sequencing (ChIP-Seq) for H3K36me3 in order to test the hypothesis that, rather than total H3K36me3, the G34V mutation may instead result in differential binding of the trimethyl mark throughout the genome. Compared with H3F3A wild-type SF188 paediatric GBM cells, H3K36me3 was found to be significantly differentially bound in KNS42 cells at 5130 distinct regions of the genome corresponding to 156 genes. Concurrent whole genome DNA sequencing demonstrated that this was not confounded by copy number alterations. The cerebral hemispheric-specific G34 mutation drives a distinct expression signature through differential genomic binding of the K36 trimethylation mark (H3K36me3). The transcriptional program induced recapitulates that of the developing forebrain, and involves numerous markers of stem cell maintenance, cell fate decisions and self-renewal. Critically, H3F3A G34 mutations cause profound upregulation of MYCN, a potent oncogene which is causative of glioblastomas when expressed in the correct developmental context. This driving aberration is selectively targetable in this patient population by inhibiting kinases responsible for stabilisation of the protein.
Study
EGAS00001001437
Single cell whole genome sequencing of 5 ovarian cancer specimens
Single cell whole genome sequencing BAM files for five ovarian cancer specimens.
Study
EGAS50000001458
Colorectal cancer functional annotation - ChIP
ChIP-seq data for multiple colorectal cancer cell lines (H3K4me1, H3K4me3, H3K27ac, H3K27me3, H3K36me3, CTCF)
Study
EGAS50000000207
Genomic Study of Gastric Cancer
We perform whole exome sequencing of 50 pairs of gastric cancer and matched normal samples
Study
EGAS00001005032
RRBS data from TRACERx non-small cell lung cancer (NSCLC) tumours and matched normal adjacent tissue.
TRACERx (TRAcking Cancer Evolution through therapy (Rx)) is a prospective cohort study designed to investigate intratumor heterogeneity (ITH) in relation to clinical outcome, and to determine the clonal nature of driver events and evolutionary processes in early stage non-small cell lung cancer (NSCLC).
Study
EGAS00001008071
Assessment of genomic copy number alterations in breast cancer
The aim of this study was to assess genomic copy number alterations in a panel of breast cancer cell lines. These data were used to identify common aberrations associated with breast cancer, and also to identify aberrations associated with response to therapeutic compounds.
Study
EGAS00001000585
Comprehensive genomic characterization of early stage bladder cancer - Total RNA-seq data
This study looks at the non muscle invasive bladder cancer subtypes based on totRNAseq data of 414 bladder cancer samples collected in different European centers within the UROMOL project. All samples were sequenced using paired reads on Illumina platforms. The reads are mapped to hg38.
Study
EGAS50000000512
Heterogeneity and evolution of DNA mutation rates in microsatellite stable colorectal cancer. Higher mutation rates (MR) in metastatic tumours
Building on the observation that MR appears to be a unique and inheritable feature of each cancer cell, we explored whether MR is subject to selective pressure during cancer progression. These data suggest that a higher MR is selected during CRC metastatic progression.
Study
EGAS50000000147
Korean Lung Cancer - 36 pair WES data
This study includes 36 paired samples of Korean Lung Cancer paitients.36 Lung Cnacer samples are paired with each normal(Saliva derived for control) sequencing data.The results of this WES study were analyzed by Mutect and GATK for ranking germline variants and cancer variants to make mutational profile matrix.
Study
EGAS00001002843
Repertoire and clinical hierarchy of AR locus alterations in castration-resistant prostate cancer
Somatic alterations to the androgen receptor (AR) gene are pivotal drivers of treatment resistance in metastatic castration-resistant prostate cancer (mCRPC), but their prevalence, clinical impact, and etiology remain incompletely understood. Here, we analyzed 3399 plasma cell-free DNA samples and 1988 leukocyte DNA samples from 1995 metastatic prostate cancer patients with matched clinical data and extensive AR locus coverage.
Study
EGAS50000001101
INSIGHT: VHL Case Report
The overall goal of this study is to uncover contributors to inherited cancer through analysis of individuals and families with, or at risk of, a hereditary cancer syndrome. In addition, we hope to elucidate novel mechanisms of tumourigenesis in hereditary cancer patients. This specific report highlights a rare case of VHL mosaicism and shows the value of tissue testing in VHL variant negative cases.
Study
EGAS00001005895
Whole genome analysis of mutation hotspots in gastric cancer
Tissue-specific driver mutations in non-coding genomic regions remain undefined for most cancer types. In this study, we unbiasedly analysed 212 gastric cancer whole genomes to identify recurrently mutated non-coding regions in gastric cancer. Applying comprehensive statistical approa- ches to accurately model background mutational processes, we observe significant enrich- ment of non-coding indels (insertions/deletions) in three gastric lineage-specific genes. We further identify 34 mutation hotspots, of which 11 overlap CTCF binding sites (CBSs).
Study
EGAS00001002872
BRAF_and_MEK_resistant_cell_line_clones
The Sanger Institute has the largest collection of genetically-characterised cancer cell lines world-wide (we have collected >1000 human cancer cell lines which are being screened against >400 cancer therapeutics (http://www.sanger.ac.uk/genetics/CGP/translation). These lines have been characterized to the level of gene copy number, gene expression and cancer gene mutation sequence data. This has enabled us to select melanoma lines with varying BRAF mutational status and that show sensitivity to a range of BRAF inhibitors. Sensitive lines are being used to generate resistant clones by serial exposure to increasing concentrations of BRAF and MEK inhibitors and these are being characterised by genome-wide copy number analysis as well as by whole exome sequencing.
Study
EGAS00001000172
Pulldown_cytosine_deaminases
We are looking at the causal factors behind hyper-mutator phenotypes found in previous Breast Cancer sequencing studies.
Study
EGAS00001000233
Genomics_of_Colorectal_Cancer_Metastases___Massively_Parallel_Sequencing_of_Matched_Primary_and_Metastatic_tumours_to_Identify_a_Metastatic_Signature_of_Somatic_Mutations__MOSAIC_
Exome pulldown and SNP6 Affymetrix array of matched primary and metastatic colorectal cancer samples from 20 patients
Study
EGAS00001000103
Organoid_Derivation_Project__TGS
Sequencing of tissue samples and their derived organoids from oesophageal, pancreatic and colorectal cancer patients.
Study
EGAS00001002221
Cross-species genomics identifies TAF12, NFYC and RAD54L as novel choroid plexus carcinoma oncogenes
Choroid plexus carcinomas (CPC) are poorly understood and frequently lethal brain tumors with minimal treatment options. Using a new mouse model of the disease and a large cohort of human CPCs, we performed a cross-species, genome-wide search for novel oncogenes within syntenic regions of chromosome gain. TAF12, NFYC and RAD54L, co-located on human chromosome 1p32-35.3 and mouse chromosome 4qD1-D3, were identified as oncogenes that are gained in tumors in both species and required to initiate and progress the disease in mice. TAF12 and NFYC are transcription factors that regulate the epigenome, while RAD54L plays a central role in DNA repair. Our data identify a group of concurrently gained, novel oncogenes that cooperate in the formation of CPC and unmask potential new avenues for therapy.
Study
EGAS00001000961