Genotype Phenotype Correlation of Renal Tumors in the Cancer Genome Atlas Database.

TCGA correlation molecular morphology renal tumor

Journal

International journal of surgical pathology
ISSN: 1940-2465
Titre abrégé: Int J Surg Pathol
Pays: United States
ID NLM: 9314927

Informations de publication

Date de publication:
21 Jul 2024
Historique:
medline: 22 7 2024
pubmed: 22 7 2024
entrez: 21 7 2024
Statut: aheadofprint

Résumé

Morphological features are critical in evaluation of renal tumors and directing molecular workup. The objective of this study was to review histomorphology of renal tumors with molecular alterations of known subtypes. Renal tumors in The Cancer Genome Atlas were reviewed to identify tumors with defining molecular alterations. Single representative digital slides and pathology reports were reviewed and morphologic features recorded. Sixty tumors were identified with molecular alterations in genes characteristic of defined renal cell carcinoma (RCC) subtypes. Findings included the presence of both low- and high-grade histology in

Identifiants

pubmed: 39034146
doi: 10.1177/10668969241260236
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10668969241260236

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Daniel Albertson (D)

Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA.

Marc Barry (M)

Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA.

Ting Liu (T)

Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA.

Jonathan Mahlow (J)

Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA.

Deepika Sirohi (D)

Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA.

Classifications MeSH