ID

45164

Description

Principal Investigator: Mark A. Rubin, Weill Cornell Medical College, New York, NY, USA MeSH: Prostatic Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000310 Half of prostate cancers harbor gene fusions between *TMPRSS2* and members of the *ETS* transcription factor family. To date little is known about the presence of non-ETS fusion events in prostate cancer. We employed next-generation transcriptome sequencing (RNA-Seq) in order to explore the whole transcriptome of 25 human prostate cancer samples for the presence of chimeric fusion transcripts. We generated more than 1 billion sequence reads and used a novel computational approach (FusionSeq) in order to identify novel gene fusion candidates with high confidence. In total, we discovered and characterized seven new cancer-specific gene fusions, two involving the ETS genes *ETV1* and *ERG*, and five involving non-ETS genes such as *CDKN1A* (p21), *CD9* and *IKBKB* (IKK-beta), genes known to exhibit key biological roles in cellular homeostasis or assumed to be critical in tumorigenesis of other tumor entities, as well as the oncogene PIGU and the tumor suppressor gene *RSRC2*. The novel gene fusions are found to be of low frequency but interestingly, the non-ETS fusions were all present in prostate cancer harboring the *TMPRSS2-ERG* gene fusion. Future work will focus on determining if the ETS rearrangements in prostate cancer are associated or directly predispose to a rearrangement prone phenotype.

Link

dbGaP study = phs000310

Keywords

  1. 8/25/22 8/25/22 - Simon Heim
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

Mark A. Rubin, Weill Cornell Medical College, New York, NY, USA

Uploaded on

October 12, 2022

DOI

To request one please log in.

License

Creative Commons BY 4.0

Model comments :

You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.

Itemgroup comments for :

Item comments for :

In order to download data models you must be logged in. Please log in or register for free.

dbGaP phs000310 Discovery of Non-ETS Gene Fusions using RNA Sequencing

pht002095.v1.p1

pht002095
Description

pht002095

De-identified Subject's ID
Description

SUBJID

Data type

text

Alias
UMLS CUI [1,1]
C2346787
UMLS CUI [1,2]
C2348585
Consent form
Description

CONSENT

Data type

text

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

SUBJ_SOURCE

Data type

text

Alias
UMLS CUI [1,1]
C0021621
De-identified Subject's ID
Description

SOURCE_SUBJID

Data type

text

Alias
UMLS CUI [1,1]
C2346787
UMLS CUI [1,2]
C2348585
Presence of disease
Description

AFFECTION_STATUS

Data type

text

Alias
UMLS CUI [1,1]
C3854307
UMLS CUI [1,2]
C0012634

Similar models

pht002095.v1.p1

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht002095
SUBJID
Item
De-identified Subject's ID
text
C2346787 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
Item
Consent form
text
C0021430 (UMLS CUI [1,1])
C1257890 (UMLS CUI [1,2])
Code List
Consent form
CL Item
For general medical research, for non-profit only (PPC) (1)
Item
Institute
text
C0021621 (UMLS CUI [1,1])
Code List
Institute
CL Item
Weill Cornell Medical College (WCMC)
SOURCE_SUBJID
Item
De-identified Subject's ID
text
C2346787 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
Item
Presence of disease
text
C3854307 (UMLS CUI [1,1])
C0012634 (UMLS CUI [1,2])
Code List
Presence of disease
CL Item
Cancer (1)

Please use this form for feedback, questions and suggestions for improvements.

Fields marked with * are required.

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