<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Polcaro G</submitter><funding>PRIN</funding><pagination>63</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10962156</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(1)</volume><pubmed_abstract>Efficient predictive biomarkers are needed for immune checkpoint inhibitor (ICI)-based immunotherapy in non-small cell lung cancer (NSCLC). Testing the predictive value of single nucleotide polymorphisms (SNPs) in programmed cell death 1 (PD-1) or its ligand 1 (PD-L1) has shown contrasting results. Here, we aim to validate the predictive value of PD-L1 SNPs in advanced NSCLC patients treated with ICIs as well as to define the molecular mechanisms underlying the role of the identified SNP candidate. rs822336 efficiently predicted response to anti-PD-1/PD-L1 immunotherapy in advanced non-oncogene addicted NSCLC patients as compared to rs2282055 and rs4143815. rs822336 mapped to the promoter/enhancer region of PD-L1, differentially affecting the induction of PD-L1 expression in human NSCLC ce</pubmed_abstract><journal>Molecular cancer</journal><pubmed_title>rs822336 binding to C/EBPβ and NFIC modulates induction of PD-L1 expression and predicts anti-PD-1/PD-L1 therapy in advanced NSCLC.</pubmed_title><pmcid>PMC10962156</pmcid><funding_grant_id>2017-COD. 2017PHRC8X_003</funding_grant_id><pubmed_authors>Liguori L</pubmed_authors><pubmed_authors>Giurato G</pubmed_authors><pubmed_authors>Piaz FD</pubmed_authors><pubmed_authors>Conti V</pubmed_authors><pubmed_authors>Cascella M</pubmed_authors><pubmed_authors>Nassa G</pubmed_authors><pubmed_authors>Ottaiano A</pubmed_authors><pubmed_authors>Donadio G</pubmed_authors><pubmed_authors>Sabbatino F</pubmed_authors><pubmed_authors>Manzo V</pubmed_authors><pubmed_authors>Langella M</pubmed_authors><pubmed_authors>Filippelli A</pubmed_authors><pubmed_authors>Polcaro G</pubmed_authors><pubmed_authors>Caputo A</pubmed_authors><pubmed_authors>Zeppa P</pubmed_authors><pubmed_authors>Chianese A</pubmed_authors><pubmed_authors>Corbi G</pubmed_authors><pubmed_authors>Col JD</pubmed_authors><pubmed_authors>Scognamiglio G</pubmed_authors><pubmed_authors>Dell'Annunziata F</pubmed_authors><pubmed_authors>De Marco M</pubmed_authors><pubmed_authors>Pepe S</pubmed_authors><pubmed_authors>Perri F</pubmed_authors><pubmed_authors>Franci G</pubmed_authors></additional><is_claimable>false</is_claimable><name>rs822336 binding to C/EBPβ and NFIC modulates induction of PD-L1 expression and predicts anti-PD-1/PD-L1 therapy in advanced NSCLC.</name><description>Efficient predictive biomarkers are needed for immune checkpoint inhibitor (ICI)-based immunotherapy in non-small cell lung cancer (NSCLC). Testing the predictive value of single nucleotide polymorphisms (SNPs) in programmed cell death 1 (PD-1) or its ligand 1 (PD-L1) has shown contrasting results. Here, we aim to validate the predictive value of PD-L1 SNPs in advanced NSCLC patients treated with ICIs as well as to define the molecular mechanisms underlying the role of the identified SNP candidate. rs822336 efficiently predicted response to anti-PD-1/PD-L1 immunotherapy in advanced non-oncogene addicted NSCLC patients as compared to rs2282055 and rs4143815. rs822336 mapped to the promoter/enhancer region of PD-L1, differentially affecting the induction of PD-L1 expression in human NSCLC ce</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-07-15T20:15:56.962Z</modification><creation>2026-07-09T03:10:46.763Z</creation></dates><accession>S-EPMC10962156</accession><cross_references><pubmed>38528526</pubmed><doi>10.1186/s12943-024-01976-2</doi></cross_references></HashMap>