Background: Bladder cancer (BC) presents significant molecular diversity, which affects both prognosis and treatment results. Immunohistochemistry (IHC) facilitates the identification of molecular subtypes and their relationships with clinicopathological features.
Methods: We performed an IHC analysis on tissue samples from 107 BC patients, evaluating the expression of markers GATA3, CD44, CK5/6, and CK20. We applied two methods to classify the tumor samples into basal and luminal subtypes. The relationships between these marker expressions, molecular subtypes, clinicopathological characteristics, and TILs were explored.
Results: Most samples showed the expression of GATA3 and CD44, with notable correlations found between CD44 and CK5/6 as well as GATA3 and CK20. CD44 and CD20 expression were linked to a poorer prognosis. Additionally, the luminal and basal subtypes had distinct TIL patterns, which influenced overall survival. A poor prognosis was associated with the basal subtype with low TIL infiltration and the luminal subtype with high TIL infiltration.
Conclusions: Our study clarifies the molecular characteristics of BC, underlining the prognostic importance of CD44 expression and the role of TILs in influencing subtype-specific outcomes. IHC proves valuable in subtype identification and supports personalized treatment strategies.
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http://dx.doi.org/10.3390/life14121670 | DOI Listing |
Life (Basel)
December 2024
Department of Pathology, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 70000, Vietnam.
Background: Bladder cancer (BC) presents significant molecular diversity, which affects both prognosis and treatment results. Immunohistochemistry (IHC) facilitates the identification of molecular subtypes and their relationships with clinicopathological features.
Methods: We performed an IHC analysis on tissue samples from 107 BC patients, evaluating the expression of markers GATA3, CD44, CK5/6, and CK20.
Breast Cancer Res Treat
January 2025
Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian , China.
Purpose: Age stratification influences the clinicopathological features and survival outcomes of breast cancer. We aimed to understand the effect of age on gene variants in young Chinese women with breast cancer compared with those from The Cancer Genome Atlas (TCGA).
Methods: Enrolled patients ≤ 40 years old (N = 370) underwent germline or somatic genetic testing using a 32-gene hereditary cancer panel at Fujian Union Hospital.
Front Bioeng Biotechnol
December 2024
Department of Bioengineering, University of Washington, Seattle, WA, United States.
Colonic epithelium is situated above a layer of fibroblasts that provide supportive factors for stem cells at the crypt base and promote differentiation of cells in the upper crypt and luminal surface. To study the fibroblast-epithelial cell interactions, an crypt model was formed on a shaped collagen scaffold with primary epithelial cells growing above a layer of primary colonic fibroblasts. The crypts possessed a basal stem cell niche populated with proliferative cells and a differentiated, nondividing cell zone at the luminal crypt end.
View Article and Find Full Text PDFVirchows Arch
December 2024
Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan.
Basal cell adenomas (BCAs) are benign epithelial tumors of the salivary gland, characterized by the proliferation of basaloid and luminal cells. In addition, a distinctive spindle cell stroma, that is immunohistochemically-positive for S100, is often observed in BCAs. Based on the ultrastructural findings, the S100-positive stroma was presumed to originate from neoplastic myoepithelial cells.
View Article and Find Full Text PDFJ Pathol Inform
January 2025
Department of Community Medicine, Uit The Arctic University of Norway, Tromsø, Norway.
Classifying breast cancer molecular subtypes is crucial for tailoring treatment strategies. While immunohistochemistry (IHC) and gene expression profiling are standard methods for molecular subtyping, IHC can be subjective, and gene profiling is costly and not widely accessible in many regions. Previous approaches have highlighted the potential application of deep learning models on hematoxylin and eosin (H&E)-stained whole-slide images (WSIs) for molecular subtyping, but these efforts vary in their methods, datasets, and reported performance.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!