<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Megyesfalvi Z</submitter><funding>Austrian Science Fund FWF</funding><funding>Semmelweis Egyetem</funding><funding>Magyar Tüdőgyógyász Társaság</funding><funding>Innovációs és Technológiai Minisztérium</funding><funding>Magyar Tudományos Akadémia</funding><funding>Nemzeti Kutatási Fejlesztési és Innovációs Hivatal</funding><pagination>674-686</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9541929</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>257(5)</volume><pubmed_abstract>The tissue distribution and prognostic relevance of subtype-specific proteins (ASCL1, NEUROD1, POU2F3, YAP1) present an evolving area of research in small-cell lung cancer (SCLC). The expression of subtype-specific transcription factors and P53 and RB1 proteins were measured by immunohistochemistry (IHC) in 386 surgically resected SCLC samples. Correlations between subtype-specific proteins and in vitro efficacy of various therapeutic agents were investigated by proteomics and cell viability assays in 26 human SCLC cell lines. Besides SCLC-A (ASCL1-dominant), SCLC-AN (combined ASCL1/NEUROD1), SCLC-N (NEUROD1-dominant), and SCLC-P (POU2F3-dominant), IHC and cluster analyses identified a quadruple-negative SCLC subtype (SCLC-QN). No unique YAP1-subtype was found. The highest overall survival</pubmed_abstract><journal>The Journal of pathology</journal><pubmed_title>Expression patterns and prognostic relevance of subtype-specific transcription factors in surgically resected small-cell lung cancer: an international multicenter study.</pubmed_title><pmcid>PMC9541929</pmcid><funding_grant_id>NAP2‐2017‐1.2.1‐NKP‐00002</funding_grant_id><funding_grant_id>UNKP‐19‐4</funding_grant_id><funding_grant_id>OTKA 124652</funding_grant_id><funding_grant_id>KKP126790</funding_grant_id><funding_grant_id>FWF I3522</funding_grant_id><funding_grant_id>UNKP‐20‐3</funding_grant_id><funding_grant_id>UNKP‐21‐3</funding_grant_id><funding_grant_id>FWF I3977</funding_grant_id><funding_grant_id>MPA 2020</funding_grant_id><funding_grant_id>K129065</funding_grant_id><funding_grant_id>OTKA129664</funding_grant_id><funding_grant_id>I4677</funding_grant_id><funding_grant_id>Bolyai Research Scholarship</funding_grant_id><funding_grant_id>TKP2021‐EGA‐33</funding_grant_id><funding_grant_id>KH130356</funding_grant_id><funding_grant_id>EFOP‐3.6.3‐VEKOP‐16‐2017‐00009</funding_grant_id><funding_grant_id>2021‐1.1.6‐JOVŐ</funding_grant_id><pubmed_authors>Lantos A</pubmed_authors><pubmed_authors>Szeitz B</pubmed_authors><pubmed_authors>Hirsch FR</pubmed_authors><pubmed_authors>Oberndorfer F</pubmed_authors><pubmed_authors>Marko-Varga G</pubmed_authors><pubmed_authors>Lohinai Z</pubmed_authors><pubmed_authors>Renyi-Vamos F</pubmed_authors><pubmed_authors>Hoda MA</pubmed_authors><pubmed_authors>Laszlo V</pubmed_authors><pubmed_authors>Klikovits T</pubmed_authors><pubmed_authors>Lang C</pubmed_authors><pubmed_authors>Kovacevic M</pubmed_authors><pubmed_authors>Bogos K</pubmed_authors><pubmed_authors>Rezeli M</pubmed_authors><pubmed_authors>Barany N</pubmed_authors><pubmed_authors>Ferencz B</pubmed_authors><pubmed_authors>Valko Z</pubmed_authors><pubmed_authors>Popper H</pubmed_authors><pubmed_authors>Kern I</pubmed_authors><pubmed_authors>Rivard C</pubmed_authors><pubmed_authors>Paku S</pubmed_authors><pubmed_authors>Galffy G</pubmed_authors><pubmed_authors>Skarda J</pubmed_authors><pubmed_authors>Schwendenwein A</pubmed_authors><pubmed_authors>Schelch K</pubmed_authors><pubmed_authors>Megyesfalvi Z</pubmed_authors><pubmed_authors>Dezso K</pubmed_authors><pubmed_authors>Brcic L</pubmed_authors><pubmed_authors>Fillinger J</pubmed_authors><pubmed_authors>Moldvay J</pubmed_authors><pubmed_authors>Pipek O</pubmed_authors><pubmed_authors>Mittak M</pubmed_authors><pubmed_authors>Hoetzenecker K</pubmed_authors><pubmed_authors>Dome B</pubmed_authors></additional><is_claimable>false</is_claimable><name>Expression patterns and prognostic relevance of subtype-specific transcription factors in surgically resected small-cell lung cancer: an international multicenter study.</name><description>The tissue distribution and prognostic relevance of subtype-specific proteins (ASCL1, NEUROD1, POU2F3, YAP1) present an evolving area of research in small-cell lung cancer (SCLC). The expression of subtype-specific transcription factors and P53 and RB1 proteins were measured by immunohistochemistry (IHC) in 386 surgically resected SCLC samples. Correlations between subtype-specific proteins and in vitro efficacy of various therapeutic agents were investigated by proteomics and cell viability assays in 26 human SCLC cell lines. Besides SCLC-A (ASCL1-dominant), SCLC-AN (combined ASCL1/NEUROD1), SCLC-N (NEUROD1-dominant), and SCLC-P (POU2F3-dominant), IHC and cluster analyses identified a quadruple-negative SCLC subtype (SCLC-QN). No unique YAP1-subtype was found. The highest overall survival</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2025-04-22T12:05:58.122Z</modification><creation>2025-04-06T00:14:42.049Z</creation></dates><accession>S-EPMC9541929</accession><cross_references><pubmed>35489038</pubmed><doi>10.1002/path.5922</doi></cross_references></HashMap>