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Trefoil factor 1 (TFF1) plays a role in the mucus barrier. To evaluate the prevalence of TFF1 expression in cancer, a tissue microarray containing 18,878 samples from 149 tumor types and 608 samples of 76 normal tissue types was analyzed through immunohistochemistry (IHC). TFF1 staining was detectable in 65 of 149 tumor categories. The highest rates of TFF1 positivity were found in mucinous ovarian carcinomas (76.2%), colorectal adenomas and adenocarcinomas (47.1-75%), breast neoplasms (up to 72.9%), bilio-pancreatic adenocarcinomas (42.1-62.5%), gastro-esophageal adenocarcinomas (40.4-50.0%), neuroendocrine neoplasms (up to 45.5%), cervical adenocarcinomas (39.1%), and urothelial neoplasms (up to 24.3%). High TFF1 expression was related to a low grade of malignancy in non-invasive urothelial carcinomas of the bladder ( = 0.0225), low grade of malignancy ( = 0.0003), estrogen and progesterone receptor expression ( < 0.0001), non-triple negativity ( = 0.0005) in invasive breast cancer of no special type, and right-sided tumor location ( = 0.0021) in colorectal adenocarcinomas. TFF1 IHC has only limited utility for the discrimination of different tumor entities given its expression in many tumor entities. The link between TFF1 expression and parameters of malignancy argues for a relevant biological role of TFF1 in cancer. TFF1 may represent a suitable therapeutic target due to its expression in only a few normal cell types.
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http://dx.doi.org/10.3390/diagnostics14192157 | DOI Listing |
J Virol
August 2025
MOE&NHC&CAMS Key Laboratory of Medical Molecular Virology, Shanghai Institute of Infectious Disease and Biosecurity, Shanghai Frontiers Science Center of Pathogenic Microorganisms and Infection, School of Basic Medical Science, Qidong-Fudan Innovative Institute of Medical Science, Shanghai Medical C
Unlabelled: () is a key cause of chronic inflammation and gastric cancer, and Epstein-Barr virus (EBV) also contributes to gastric tumorigenesis. However, the role of EBV co-infection in -related cancers remains unclear because of the lack of efficient models. Organoids, which are derived from self-renewing stem cells, closely mimic tissue structure and function, making them ideal for disease modeling.
View Article and Find Full Text PDFReprod Toxicol
July 2025
UCIBIO i4HB, Faculdade de Farmácia, Universidade do Porto, Rua Jorge Viterbo Ferreira 228, Porto 4050-313, Portugal. Electronic address:
Throughout a woman's menstrual cycle, endometrial stromal cells (ESCs) undergo cyclic morphological and functional alterations, involving proliferation, differentiation and senescence, modulated in part by steroid hormones and the endocannabinoid system. Disruptions in these processes can lead to endometrial conditions, like endometriosis or miscarriage. In this work, we examined the impact of the phytocannabinoids cannabidiol (CBD), cannabichromene (CBC), cannabidivarin (CBDV), cannabigerol (CBG) and cannabinol (CBN) at 2 µM, by using the St-T1b cell line, a representative model of ESCs.
View Article and Find Full Text PDFBMC Res Notes
July 2025
Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA.
Background: Immune expression profiling in colorectal lesions may provide insights into the origins of antitumor immunity and senescence. Optimal approaches for analyzing samples with lower quality RNA from molecularly diverse lesions are lacking. Therefore, we developed a NanoString nCounter-based approach for quality control (QC), normalization, and differential expression (DE) analysis, optimized for FFPE samples in contexts of high biologic heterogeneity.
View Article and Find Full Text PDFVirulence
December 2025
Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
is the most common gastric pathogen. is prone to develop antibiotic resistance and recurrence after therapy makes treatment problematic. can be detected attached to the gastric epithelial cells; however, it is mostly found within the gastric mucus.
View Article and Find Full Text PDFComput Biol Med
August 2025
Human Genetics Unit, Indian Statistical Institute, Kolkata, India; Estuarine and Coastal Studies Foundation, Howrah, India. Electronic address:
Background: The in silico analyses provide evidence supporting the potential of methylation-driven differentially expressed genes as therapeutic targets across cancer types. This leads us to identify novel targets and their associated drug compounds for further progress towards pancreatic cancer treatment.
Objective: To identify targeted drugs based on methylation driven genes identified using bulk multi-omics data and single-cell level data to pinpoint important disease markers.