ID

45054

Description

Principal Investigator: Peter W. Laird, PhD, University of Southern California, Los Angeles, CA, USA MeSH: Colorectal Carcinomas https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000385 DNA methylation, together with chromatin modifications, constitute the epigenome that functions to regulate gene expression and genome integrity. DNA methylation alterations are ubiquitous in human cancers, as many genes acquire DNA methylation in a cancer-specific manner. DNA methylation at these sites in the genome of cancer cells not only serves as a marker for tumor identification, but together with gene mutation and gene expression data, can also be used to describe subsets of tumors of the same organ source. We have previously shown distinct human colorectal cancer subtypes based on DNA methylation differences. Correlating these DNA methylation differences with clinical co-variates will serve to further understand how these distinct subtypes are generated. We have collected 100 colorectal tumor tissues (for which clinical information is known) and have obtained (unprotected) genome-wide DNA methylation and chromatin modification information for each sample for the purposes of identifying and classifying unique tumor subtypes of colorectal cancers. In addition, we have determined mutations of key genes relevant to colorectal cancer as well as gene expression profiles. We will use the clinical data for each de-identified sample to correlate with the DNA methylation, mutation and gene expression information so as to understand the driving forces behind these distinct colorectal subtypes. We have selected the most promising tumors for whole-genome bisulfite sequencing using next-generation sequencing technology to obtain complete maps of colon cancer methylomes. Researchers will be unable to identify the subjects because the samples and associated information have been de-identified and anonymized by the tissue source site. In addition, upon receipt by the USC Epigenome Center, we have assigned new random identifiers for each sample. The data generated using these new codes are not traceable to the patient identity.

Lien

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000385

Mots-clés

  1. 04/08/2022 04/08/2022 - Simon Heim
  2. 12/10/2022 12/10/2022 - Adrian Schulz
Détendeur de droits

Peter W. Laird, PhD, University of Southern California, Los Angeles, CA, USA

Téléchargé le

4 août 2022

DOI

Pour une demande vous connecter.

Licence

Creative Commons BY 4.0

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dbGaP phs000385 Epigenetic Profiling of Human Colorectal Cancer

Eligibility Criteria

Inclusion and exclusion criteria
Description

Inclusion and exclusion criteria

Tumors were obtained from the Ontario Tumor Bank (within the Ontario Institute for Cancer Research, Ontario, Canada) with available clinical information including tumor stage and grade, patient age, and the results of surgery and/or of chemotherapy.
Description

Tumors were obtained from the Ontario Tumor Bank (within the Ontario Institute for Cancer Research, Ontario, Canada) with available clinical information.

Type de données

boolean

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C2708733

Similar models

Eligibility Criteria

Name
Type
Description | Question | Decode (Coded Value)
Type de données
Alias
Item Group
Inclusion and exclusion criteria
Tumors were obtained from the Ontario Tumor Bank (within the Ontario Institute for Cancer Research, Ontario, Canada) with available clinical information.
Item
Tumors were obtained from the Ontario Tumor Bank (within the Ontario Institute for Cancer Research, Ontario, Canada) with available clinical information including tumor stage and grade, patient age, and the results of surgery and/or of chemotherapy.
boolean
C1512693 (UMLS CUI [1,1])
C2708733 (UMLS CUI [1,2])

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