Deciphering the Molecular Landscape of Urothelial Carcinoma: Immunohistochemistry-based Subtyping Using 4 Easily Available Antibodies for Cost-effective Stratification

2Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Molecular subtyping, though complex and typically reliant on costly and limited accessibility techniques, remains crucial for understanding the biology of urothelial carcinoma (UC). We sought a practical alternative by categorizing UCs into immunohistochemistry (IHC) subtypes using a panel of accessible antibodies. Examining 100 UCs from 2020 to 2021, encompassing both chemotherapy-naïve MIBC and NMIBC, acquired through transurethral resection or radical resection, we employed IHC with GATA3, KRT5, KRT14, and KRT20 markers on tissue microarrays. IHC luminal, IHC basal, IHC dual-positive, and IHC dual-negative subtypes were identified based on marker expressions. Positive staining criteria were established, considering >20% positive staining for specific markers. Results indicated a mean age of 64 years, with a 2.33:1 male-to-female ratio, and 60% NMIBC versus 40% MIBC. Subtypes identified were IHC luminal (55%), IHC basal (19%), IHC dual (22%), and IHC dual (4%). IHC luminal subtype demonstrated the highest overall survival rate (80%), followed by IHC dual (72.72%), IHC basal (63.15%), and IHC dual with the lowest survival (25%). KRT5-positive tumors exhibited a crude hazard ratio (HR) of 1.98 in univariate analysis, lacking statistical significance. Conversely, GATA3-positive tumors were significantly associated with lower risk in both univariate (Crude HR=0.36, P=0.01) and multivariate analysis (P=0.01). In addition, lymphovascular invasion significantly increased risk in both univariate and multivariate analyses (adjusted HR=5.26, P<0.01). In conclusion, our study advocates for the early stratification of UC into IHC-based subtypes, facilitated by a panel of 4 markers, offering valuable insights into molecular characteristics, particularly in resource-constrained settings, and aiding clinical stratification.

Cite

CITATION STYLE

APA

Indulkar, S., Rao, B. V., Das, D., Pasam, M. K., Kodandapani, S., Sharma, R. M., & Thammineedi, S. R. (2025). Deciphering the Molecular Landscape of Urothelial Carcinoma: Immunohistochemistry-based Subtyping Using 4 Easily Available Antibodies for Cost-effective Stratification. Applied Immunohistochemistry and Molecular Morphology, 33(5), 267–276. https://doi.org/10.1097/PAI.0000000000001272

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free