Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Ena-DATASET-MSKCC-27-01-2017-19:20:42:018-272 - samples

ABSTRACT: Sequencing of untreated pancreatic cancer metastases and primary tumor sections.

PROVIDER: EGAD00001003153 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Publications

Limited heterogeneity of known driver gene mutations among the metastases of individual patients with pancreatic cancer.

Makohon-Moore Alvin P AP Zhang Ming M Reiter Johannes G JG Bozic Ivana I Allen Benjamin B Kundu Deepanjan D Chatterjee Krishnendu K Wong Fay F Jiao Yuchen Y Kohutek Zachary A ZA Hong Jungeui J Attiyeh Marc M Javier Breanna B Wood Laura D LD Hruban Ralph H RH Nowak Martin A MA Papadopoulos Nickolas N Kinzler Kenneth W KW Vogelstein Bert B Iacobuzio-Donahue Christine A CA

Nature genetics 20170116 3

The extent of heterogeneity among driver gene mutations present in naturally occurring metastases-that is, treatment-naive metastatic disease-is largely unknown. To address this issue, we carried out 60× whole-genome sequencing of 26 metastases from four patients with pancreatic cancer. We found that identical mutations in known driver genes were present in every metastatic lesion for each patient studied. Passenger gene mutations, which do not have known or predicted functional consequences, ac ...[more]

PMID: 28092682

Similar Datasets

ena-DATASET-MSKCC-25-11-2019-14:11:20:118-783 - samples

Project description:Files from DNA and RNA sequencing from primary tumors and metastases from pancreatic cancer patients along with matched normal tissues.

| EGAD00001005519 | EGA

ena-DATASET-MSKCC-27-03-2017-19:19:35:444-16 - samples

Project description:These are seven sequencing files form whole exome and whole genome of five tissue samples collected from one pancreatic cancer patient

| EGAD00001003261 | EGA

ena-DATASET-MSKCC-10-01-2020-20:36:04:225-1836 - samples

Project description:Files from DNA sequencing from primary tumors and metastases from pancreatic cancer patients along with matched normal tissues. Sequencing files include those derived from whole exome sequencing as well as MSK-IMPACT sequencing.

| EGAD00001005779 | EGA

ena-DATASET-MSKCC-01-03-2017-18:58:54:915-35 - samples

Project description:Files from whole exome sequencing of 26 tumors and two matched normals from one melanoma patient. The 26 tumors include the untreated primary, cutaneous metastases and distant metastases to internal organs.

| EGAD00001003200 | EGA

Human AdV-20-42-42, a Promising Novel Adenoviral Vector for Gene Therapy and Vaccine Product Development.

Project description: Not available

| S-EPMC8549523 | biostudies-literature

Autophagy_deficiency_pancreas

Project description:Transcriptional profiling analysis was performed on RNA from pancreatic tissue sections derived from autophagy deficient male mice at 4 and 18 weeks of age. Results were compared to littermate controls. Study groups contained RNA from pancreatic tissue sections of 1 control mouse and of 3 autophagy deficient mice for each timepoint.

2015-04-07 | E-MTAB-2635 | biostudies-arrayexpress

S100P is a metastasis-associated gene that facilitates transendothelial migration of pancreatic cancer cells [HG-U133B]

Project description:Pancreatic cancer is a devastating disease with both local invasion and distant metastasis. Identifying the genes expressed in liver metastases and signatures of metastatic progression would therefore be of particular importance as they could aid in both recurrence prediction as well as representing novel therapeutic targets. Keywords: Gene expression profiling We have performed microarray gene expression analysis of normal pancreas, primary pancreatic ductal adenocarcinoma (PDAC), normal liver and pancreatic liver metastases to identify potential therapeutic targets.

2013-08-15 | E-GEOD-19280 | biostudies-arrayexpress

S100P is a metastasis-associated gene that facilitates transendothelial migration of pancreatic cancer cells [HG-U133A]

Project description:Pancreatic cancer is a devastating disease with both local invasion and distant metastasis. Identifying the genes expressed in liver metastases and signatures of metastatic progression would therefore be of particular importance as they could aid in both recurrence prediction as well as representing novel therapeutic targets. Keywords: Gene expression profiling We have performed microarray gene expression analysis of normal pancreas, primary pancreatic ductal adenocarcinoma (PDAC), normal liver, and pancreatic liver metastases to identify potential therapeutic targets. This dataset is part of the TransQST collection.

2013-08-15 | E-GEOD-19279 | biostudies-arrayexpress

Comparative genomic profiling by array of human carcinomas of unknown primary compared to classical secondary metastases

Project description:Carcinomas of unknown primary (CUP) are characterized by early metastatic dissemination in the absence of a detectable primary tumor. This disease accounts for about 3% of all malignant tumors. Most CUPs are poorly responsive to chemotherapy and have a rapid fatal evolution. The biological mechanisms supporting metastatic growth in various sites combined with regression or absence of growth in the primary site are still poorly understood. The aim of this project was to investigate structural genome alterations specifically detected by CGH-array in CUP but not in classical secondary metastases. The design of the project was as follows : 5 samples representative of CUPs were compared to 3 samples representative of classical secondary metastases. The CUP samples were : a) 3 fresh biopsies containing more than 60 % malignant cells on tissue sections adjacent to the tumor fragment used for DNA extraction (Gal., Pro., Gag.); b) 2 fragment derived from 2 xenografted CUP tumor lines, Capi 1 and Capi 3 respectively. The samples derived from classical secondary metastases were : a) one fresh biopsy fragment derived from the secondary metastasis of a rectal adenocarcinoma (Vuc.); b) fragments of a tumor resulting from a xenograft of Capan 1, an in vitro cell line derived from a pancreatic adenocarcinoma secondary metastasis; 3) fragments of a xenografted tumor derived from a lung adenocarcinoma metastasis called IC14 (NSCLC).

2011-08-04 | E-TABM-1057 | biostudies-arrayexpress

Hierarchical clustering of PDAC cell lines

Project description:Hierarchical clustering of pancreatic cancer cell lines based on differentially regulated genes between mesenchymal and epithelial PDAC cells derived from primary tumours and metastases from KrasG12D-driven mouse models of pancreatic cancer.

2022-11-19 | E-MTAB-8173 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data