{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T03:39:29Z","timestamp":1791517169098,"version":"4.3.4"},"reference-count":34,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T00:00:00Z","timestamp":1773964800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T00:00:00Z","timestamp":1773964800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["bpspubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["British J Pharmacology"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:p>\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/TNMplot.com\">TNMplot.com<\/jats:ext-link>\n                    , a web\u2010based platform integrating RNA\u2010Seq and gene\u2010chip data from 56,938 samples, enables differential gene expression analysis across normal, primary tumour and metastatic tissues, facilitating large\u2010scale transcriptomic profiling across 22 tumour types. We introduced an updated version of the TNMplot database with novel features that support pharmacological and translational oncology research. A key addition is the stage\u2010based expression comparison, which allows the identification of progression\u2010related genes from 4470 cancer samples, including breast (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20092331), colorectal (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009648), lung (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20091399), skin (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200931) and prostate (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200961) tumours. These progression markers can inform drug target discovery and the timing of therapeutic intervention. The platform now includes enhanced visualisation tools, such as a pan\u2010cancer dot matrix enabling simultaneous multi\u2010tissue and multi\u2010gene comparison, and new multi\u2010gene analytics including density plots, gene\u2013gene correlation, correlation matrices, correlation profile analysis, gene signature evaluation and targetgram analysis. These tools support the investigation of druggable pathways, co\u2010expression networks and pharmacogenomic biomarker panels. A unique feature of TNMplot remains the parallel analysis of RNA\u2010seq and gene chip datasets, enabling robust cross\u2010platform validation of candidate pharmacological targets in diverse patient populations. In conclusion, the updated TNMplot platform offers a comprehensive and versatile environment for transcriptomic analysis in support of pharmacological hypothesis generation, biomarker discovery and preclinical target validation in oncology.\n                  <\/jats:p>","DOI":"10.1111\/bph.70390","type":"journal-article","created":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T08:00:43Z","timestamp":1773993643000},"page":"2648-2659","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["TNMplot: An enhanced platform for pharmacological target identification through cross\u2010stage and pan\u2010cancer gene expression analysis"],"prefix":"10.1111","volume":"183","author":[{"given":"\u00c1ron","family":"Bartha","sequence":"first","affiliation":[{"name":"Department of Bioinformatics Pediatric Center Semmelweis University  Budapest 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