Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Jan 7;2(1):37-47.
doi: 10.3233/BLC-150037.

Bladder Cancer Molecular Taxonomy: Summary from a Consensus Meeting

Seth P Lerner  1 , David J McConkey  2 , Katherine A Hoadley  3 , Keith S Chan  4 , William Y Kim  5 , François Radvanyi  6 , Mattias Höglund  7 , Francisco X Real  8
Affiliations

Bladder Cancer Molecular Taxonomy: Summary from a Consensus Meeting

Seth P Lerner et al. Bladder Cancer. .

Abstract

The advent of Omics technologies has been key to the molecular subclassification of urothelial bladder cancer. Several groups have used different strategies to this aim, with partially overlapping findings. The meeting at the Spanish National Cancer Research Center-CNIO was held to discuss such classifications and reach consensus where appropriate. After updated presentations on the work performed by the teams attending the meeting, a consensus was reached regarding the existence of a group of Basal-Squamous-like tumors - designated BASQ - charaterized the high expression of KRT5/6 and KRT14 and low/undetectable expression of FOXA1 and GATA3. An additional tumor subgroup with urothelial differentiation features was recognized whose optimal molecular definition is required. For other subtypes described, more work is needed to determine how robust they are and how to best define them at the molecular level.

Keywords: Bladder cancer; genomics; molecular classification; taxonomy.

PubMed Disclaimer

Figures

Fig.1
Fig.1
Comparison of the bladder cancer classifications as they relate to the “BASQ” (Basal-Squamous-like) consensus group. In red background, the subtypes that are enriched in this group. Tumor subclasses in other colors (p53-like, TCGA II, Infiltrated) comprise samples that would be included in the BASQ group and others that would not. Tumors in these three categories also express markers typical of urothelial differentiation to a variable extent. In red, the consensus definition of the “BASQ” subtype.
Fig.2
Fig.2
Basal/Squamous-like (BASQ) tumors are characterized by strong expression of KRT5/6 (A) and KRT14 (B) and low or undetectable expression of FOXA1 (C) and GATA3 (D). By contrast to them, normal urothelial cells display strong expression of FOXA1 (E) andGATA3 (F).
See this image and copyright information in PMC

References

    1. The Cancer Genome Atlas Research network. Comprehensive molecular characterization of urothelial bladder carcinoma. Nature 2014;507(7492):315–322. - PMC - PubMed
    1. Volkmer JP, Sahoo D, Chin RK, Ho PL, Tang C, Kurtova AV, Willingham SB, Pazhanisamy SK, Contreras-Trujillo H, Storm TA, Lotan Y, Beck AH, Chung BI, Alizadeh AA, Godoy G, Lerner SP, van de Rijn M, Shortliffe LD, Weissman IL, Chan KS. Three differentiation states risk-stratify bladder cancer into distinct subtypes. Proc Natl Acad Sci USA 2012;109(6):2078–2083. - PMC - PubMed
    1. Ho PL, Kurtova A, Chan KS. Normal and neoplastic urothelial stem cells: Getting to the root of the problem. Nat Rev Urol 2012;9(10):583–594. - PMC - PubMed
    1. Sjödahl G, Lauss M, Lovgren K, Chebil G, Gudjonsson S, Veerla S, Patschan O, Aine M, Fernö M, Ringnér M, Månsson W, Liedberg F, Lindgren D, Höglund M. A molecular taxonomy for urothelial carcinoma. Clin Cancer Res 2012;18(12):3377–3386. - PubMed
    1. Hoadley KA, Yau C, Wolf DM, Cherniack AD, Tamborero D, Ng S, Leiserson MD, Niu B, McLellan MD, Uzunangelov V, Zhang J, Kandoth C, Akbani R, Shen H, Omberg L, Chu A, Margolin AA, Van’t Veer LJ, Lopez-Bigas N, Laird PW, Raphael BJ, Ding L, Robertson AG, Byers LA, Mills GB, Weinstein JN, Van Waes C, Chen Z, Collisson EA; Cancer Genome Atlas Research Network, Benz CC, Perou CM, Stuart JM. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. Cell 2014;158(4):929–944. - PMC - PubMed

LinkOut - more resources