TMPRSS4 (Transmembrane Serine Protease 4)

The optimized multi-molecular logistic regression model (Model 2) built on 11 signature genes can effectively predict lymph node metastasis risk in PTC patients, demonstrating robust cross-sex stability, strong compatibility across multiple ML algorithms, and potential clinical utility as a preoperative decision-support tool for lymph node status assessment and personalized treatment planning.

A significant reduction in gastric cancer tumor growth was observed in mice undergoing combination therapy with LNPs and fluorouracil (5-FU) compared to mice receiving 5-FU alone. Anti-TMPRSS4-siRNA loaded LNPs may be considered a promising therapeutic modality for gastric cancer.

Our findings indicated that the rondom froest model based on five autoantibodies might help identify preclinical and early-stage PC.

Knockout of Siglec12 in mouse cells does not affect PMR, suggesting a species-specific role. Our identification of SIGLEC12 as a mediator of PMR expands our understanding of how programmed necrosis is executed and offers new approaches for targeting this proinflammatory form of cell death in human diseases.

Furthermore, virtual screening evaluated the upregulated SLC6A14 gene-encoded protein for therapeutic repurposing, revealing promising candidates for PDAC treatment. This study offers exploratory insights into gene expression patterns and molecular biomarkers that may inform future research to improve PDAC prognosis and therapeutic development and provide the repurposed drug candidate for further exploration.

Especially CEACAM5, TMPRSS4, and AQP5 were identified as the most promising targets for distinguishing PDAC from healthy tissues and detecting lymph node metastasis during FGS. The development of probes targeting multiple markers, such as AQP5 with CEACAM5 and/or TMPRSS4, may help overcome interpatient variability and enhance detection across patients.

In vivo, silencing of TEAD4 declined the tumor size and weight, the expression of TEAD4 and TMPRSS4, the ki-67 level, and the numbers of liver metastasis foci. In conclusion, the knockdown of TEAD4 suppressed the growth and metastasis of GBC via TMPRSS4.

For the patients in the TS-1 dosage ≥ 45% group, there were significant differences in OS between the TMPRSS4-positive and -negative groups (p = 0.0284): the 5-year OS rates of TMPRSS4-positive and -negative groups were 65.2% and 79.2%, respectively. Our findings suggest that TMPRSS4 overexpression is a useful biomarker for GC, and that an anti-TMPRSS4 antibody may have potential as a novel therapeutic agent.

The method is suitable for the analysis of cervical cytological smears prepared by a routine method. Further clinical validation is necessary to clarify its clinical potential.

Therefore, this study aims to disover potential TMPRSS4 inhibitors that have better binding affinity than the approved inhibitors: 2-hydroxydiarylamide and tyroserleutide...Moreover, through a systematic analysis, MD simulations and MM-GBSA binding free energy calculations revealed that the best candidates Ergotamine, S55746, NPC478048, Lifirafenib, and NPC77101 are highly stable drug candidates in complex with TMPRSS4, displaying low RMSD and RMSF values with strong binding stability. Among these compounds, Ergotamine showed the most favorable binding energy (-33.73 kcal/mol). Overall, our in silico results revealed that these compounds could act as potent TMPRSS4 inhibitors and need to be validated by future experimental studies.

Proteins PLAUR, IKBα, IL-1RN, ICAM1, and TMPRSS4 showed decreased expression in the shC15orf48 group compared to the shCtrl group. We concluded that C15orf48 promotes NSCLC progression, potentially through immune cell infiltration and the NF-κB signaling pathway.

In vivo, high miR-149-3p expression increased the chemosensitivity of cancer cells. In conclusion, miR-149-3p suppresses the aggressive progression of lung cancer by directly downregulating TMPRSS4 and enhances the responsiveness of lung cancer cells to DDP.