Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1007/s12672-025-04080-z

http://scihub22266oqcxt.onion/10.1007/s12672-025-04080-z
suck pdf from google scholar
41266683!?!41266683

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=41266683&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi

pmid41266683      Discov+Oncol 2025 ; ? (?): ?
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Transient Receptor Potential Melastatin 4 (TRPM4) is associated with an immuno-stimulatory TME and better prognosis in BLCA #MMPMID41266683
  • Da Y; Chen X; Yu L; Li Y; Chen Z; Zhang Y; Wang H; Zhu Z; Liu Y; Geng Y
  • Discov Oncol 2025[Nov]; ? (?): ? PMID41266683show ga
  • OBJECTIVE: Bladder cancer (BLCA) is one of the most invasive and malignant tumors in the world, thus leading to the urgent need of an accurate and recognizable biomarker. Several previous research has shown that Transient Receptor Potential Melastatin 4 (TRPM4) plays an important role in measuring vascular fragility and endothelial function. However, the role of TRPM4 in tumor hasn't been explored. METHODS: We obtained the clinical data and gene expression profiles of The Cancer Genome Atlas (TCGA) datasets via UCSC Xena. The tumor microenvironment (TME) was also evaluated by the amount of immunomodulators. The role of TRPM4 was demonstrated using the dataset GSE130001 via the website (http://tisch.comp-genomics.org/). We also validated the results of the pathway analysis through the Polymerase Chain Reaction (PCR). RESULTS: Patients with higher TRPM4 expression showed better prognosis. We found out that high TRPM4 tended to shape an immuno-stimulatory TME with less T cell exhaustion and lower level of immune overdrive. We demonstrated that TRPM4 could predict the molecular subtype and different therapy options in BLCA. We also found the important influence of TRPM4 in P53 pathway and TNF-a pathway. Last but not least, we developed a prognostic model centered on TRPM4 using ten machine learning algorithms, which showed excellent predictive ability. CONCLUSION: High TRPM4 shapes a more immuno-stimulatory tumor microenvironment and can not only predict the immune phenotypes but also predict the clinical phenotypes in BLCA. High TRPM4 predicts better prognosis. TRPM4 is a potential biomarker in the future for identifying the immunogenicity and immune-therapy probability of BLCA.
  • ?


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box