<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>119(2)</volume><submitter>Dupuis F</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Prescribing anti-programmed death-1 (PD-1) immunotherapy for advanced melanoma is currently not restricted by any biomarker assessment. Determination of programmed death-ligand-1 (PD-L1)-expression status is technically challenging and is not mandatory, because negative tumours also achieve therapeutic responses. However, reproducible biomarkers predictive of a response to anti-PD-1 therapy could contribute to improving therapeutic decision-making.&lt;h4>Methods&lt;/h4>This retrospective study on 70 metastatic melanoma patients was undertaken to evaluate the relationships between clinical, histological, immunohistochemical and/or molecular criteria, and the 6-month objective response rate.&lt;h4>Results&lt;/h4>Better objective response rates were associated with metachronous metastases (P = 0.04), PD-L1 tumour- and/or immune-cell status (P = 0.01), CD163+ histiocytes at advancing edges (P = 0.009) of primary melanomas and NRAS mutation (P = 0.019). Moreover, CD163+ histiocytes at advancing edges (P = 0.04) were associated with longer progression-free survival (PFS), and metachronous metastases with longer overall survival (P = 0.02) and PFS (P = 0.049).&lt;h4>Conclusions&lt;/h4>Combining these reproducible biomarkers could help improve therapeutic decision-making for patients with progressive disease.</pubmed_abstract><journal>British journal of cancer</journal><pagination>193-199</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6048096</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Clinical, histological and molecular predictors of metastatic melanoma responses to anti-PD-1 immunotherapy.</pubmed_title><pmcid>PMC6048096</pmcid><pubmed_authors>Vergier B</pubmed_authors><pubmed_authors>Beylot-Barry M</pubmed_authors><pubmed_authors>Jullie ML</pubmed_authors><pubmed_authors>Meyer N</pubmed_authors><pubmed_authors>Dupuis F</pubmed_authors><pubmed_authors>Prey S</pubmed_authors><pubmed_authors>Torossian N</pubmed_authors><pubmed_authors>Gros A</pubmed_authors><pubmed_authors>Gerard E</pubmed_authors><pubmed_authors>Filleron T</pubmed_authors><pubmed_authors>Chaltiel L</pubmed_authors><pubmed_authors>Lamant L</pubmed_authors><pubmed_authors>Dutriaux C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Clinical, histological and molecular predictors of metastatic melanoma responses to anti-PD-1 immunotherapy.</name><description>&lt;h4>Background&lt;/h4>Prescribing anti-programmed death-1 (PD-1) immunotherapy for advanced melanoma is currently not restricted by any biomarker assessment. Determination of programmed death-ligand-1 (PD-L1)-expression status is technically challenging and is not mandatory, because negative tumours also achieve therapeutic responses. However, reproducible biomarkers predictive of a response to anti-PD-1 therapy could contribute to improving therapeutic decision-making.&lt;h4>Methods&lt;/h4>This retrospective study on 70 metastatic melanoma patients was undertaken to evaluate the relationships between clinical, histological, immunohistochemical and/or molecular criteria, and the 6-month objective response rate.&lt;h4>Results&lt;/h4>Better objective response rates were associated with metachronous metastases (P = 0.04), PD-L1 tumour- and/or immune-cell status (P = 0.01), CD163+ histiocytes at advancing edges (P = 0.009) of primary melanomas and NRAS mutation (P = 0.019). Moreover, CD163+ histiocytes at advancing edges (P = 0.04) were associated with longer progression-free survival (PFS), and metachronous metastases with longer overall survival (P = 0.02) and PFS (P = 0.049).&lt;h4>Conclusions&lt;/h4>Combining these reproducible biomarkers could help improve therapeutic decision-making for patients with progressive disease.</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Jul</publication><modification>2024-11-15T20:47:58.257Z</modification><creation>2019-07-24T07:31:50Z</creation></dates><accession>S-EPMC6048096</accession><cross_references><pubmed>29973670</pubmed><doi>10.1038/s41416-018-0168-9</doi></cross_references></HashMap>