High prevalence of TERT promoter mutations in primary squamous cell carcinoma of the urinary bladder View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-05

AUTHORS

Morgan Cowan, Simeon Springer, Doreen Nguyen, Diana Taheri, Gunes Guner, Maria Angelica Mendoza Rodriguez, Yuxuan Wang, Isaac Kinde, Christopher J VandenBussche, Matthew T Olson, Isabela Cunha, Kazutoshi Fujita, Dilek Ertoy, Trinity J Bivalacqua, Kenneth Kinzler, Bert Vogelstein, George J Netto, Nickolas Papadopoulos

ABSTRACT

TERT promoter mutations (TERT-mut) are detectable in the majority of urothelial carcinomas. The detection of TERT-mut in urine is under investigation as a potential urine-based molecular-screening assay for bladder cancer. A small but significant number of bladder carcinomas are pure squamous cell carcinoma. We sought to assess the incidence of TERT-mut in squamous cell carcinoma of the urinary bladder. A retrospective search of the institutional pathology archives yielded 15 cystectomy specimens performed for squamous cell carcinoma (2000-2014). Histologic slides were reviewed by a senior urologic pathologist to confirm the diagnosis and select a representative formalin-fixed paraffin-embedded tissue block for mutational analysis. All cases yielded adequate material for DNA analysis. Sequencing for TERT-mut was performed using previously described SafeSeq technique. We detected TERT-mut in 12/15 (80%) of bladder squamous cell carcinomas. TERT promoter mutations, commonly found in conventional urothelial carcinoma, are also highly prevalent in urinary bladder squamous cell carcinoma suggesting a common tumorigenesis and potential utility as a molecular urine-based-screening assay. More... »

PAGES

511-515

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/modpathol.2016.53

DOI

http://dx.doi.org/10.1038/modpathol.2016.53

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016090665

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26965579


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.53'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.53'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.53'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.53'


 

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