ID

45547

Beschrijving

Principal Investigator: Adam Bass, Dana-Farber Cancer Institute, Boston, MA; Broad Institute, Cambridge MA; Brigham and Women's Hospital, Boston, MA, USA MeSH: Esophageal Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000598 The incidence of esophageal adenocarcinoma (EAC) has risen 600% over the last 30 years. When coupled to the five-year survival rate of only 15% for this disease, identification of new therapeutic targets for EAC is of great importance. Here, we analyze the mutational spectra identified from the whole genome sequencing of 16 EACs and complete exome sequencing of 149 EAC tumors and matched germline samples. We identify a novel mutation signature marked by high prevalence of A to C transversions at AA*(N) trinucleotides. Notably, the development of EAC is preceded by pathologic intestinal metaplasia of the lower esophagus, Barrett's esophagus, itself a response to injury from gastric-esophageal reflux disease (GERD). Thus, we hypothesize to represent these AA*(N) mutations to a novel signature of GERD-induced mutagenesis. Analysis of the exome data identified 26 genes subject to statistically significant recurrent mutation. Of these 26 genes, only TP53, CDKN2A, SMAD4, and PIK3CA had been previously implicated in EAC. Novel mutations include those targeting chromatin modifying factors and novel candidate contributors to EAC: SPG20, TLR4, ELMO1 and DOCK2. Of these, ELMO1 and DOCK2 are notably direct dimerization partners that act to activate Rac1 to enhance cellular invasiveness, thus generating new hypotheses about the potential for the Rac1 pathway to be a novel target for therapy of EAC. "Reprinted from 'Unraveling the mutational complexity of esophageal adenocarcinoma', with permission from Nature Genetics."

Link

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000598

Trefwoorden

  1. 09-01-23 09-01-23 - Dr. med. Lucy Kessler
Houder van rechten

Adam Bass, Dana-Farber Cancer Institute, Boston, MA; Broad Institute, Cambridge MA; Brigham and Women's Hospital, Boston, MA, USA

Geüploaded op

9 januari 2023

DOI

Voor een aanvraag inloggen.

Licentie

Creative Commons BY 4.0

Model Commentaren :

Hier kunt u commentaar leveren op het model. U kunt de tekstballonnen bij de itemgroepen en items gebruiken om er specifiek commentaar op te geven.

Itemgroep Commentaren voor :

Item Commentaren voor :

U moet ingelogd zijn om formulieren te downloaden. AUB inloggen of schrijf u gratis in.

dbGaP phs000598 Exome Sequencing of Esophageal Adenocarcinoma

Subject ID, consent group of participants with esophageal adenocarcinoma and involved in the "Exome Sequencing of Esophageal Adenocarcinoma" project.

pht003322
Beschrijving

pht003322

Alias
UMLS CUI [1,1]
C3846158
Subject ID
Beschrijving

SUBJID

Datatype

string

Alias
UMLS CUI [1,1]
C2348585
Consent group as determined by DAC
Beschrijving

CONSENT

Datatype

text

Alias
UMLS CUI [1,1]
C0021430
UMLS CUI [1,2]
C1257890

Similar models

Subject ID, consent group of participants with esophageal adenocarcinoma and involved in the "Exome Sequencing of Esophageal Adenocarcinoma" project.

Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Item Group
pht003322
C3846158 (UMLS CUI [1,1])
SUBJID
Item
Subject ID
string
C2348585 (UMLS CUI [1,1])
Item
Consent group as determined by DAC
text
C0021430 (UMLS CUI [1,1])
C1257890 (UMLS CUI [1,2])
Code List
Consent group as determined by DAC
CL Item
Disease-Specific (Human Esophageal Cancer) (DS-HEC) (1)
C0021430 (UMLS CUI [1,1])
C0332307 (UMLS CUI [1,2])
CL Item
Disease-Specific (Cancer) (DS-CA) (2)
C0021430 (UMLS CUI [1,1])
C0332307 (UMLS CUI [1,2])
CL Item
Disease-Specific (Cancer, MDS) (DS-CA-MDS) (3)
C0021430 (UMLS CUI [1,1])
C0332307 (UMLS CUI [1,2])

Gebruik dit formulier voor feedback, vragen en verbeteringsvoorstellen.

Velden gemarkeerd met een * zijn verplicht.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial