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Effect of neoadjuvant chemotherapy on the immune microenvironment in non-small cell lung carcinomas as determined by multiplex immunofluorescence and image analysis approaches.

Edwin R Parra | Pamela Villalobos | Carmen Behrens | Mei Jiang | Apar Pataer | Stephen G Swisher | William N William | Jiexin Zhang | Jack Lee | Tina Cascone | John V Heymach | Marie-Andrée Forget | Cara Haymaker | Chantale Bernatchez | Neda Kalhor | Annikka Weissferdt | Cesar Moran | Jianjun Zhang | Ara Vaporciyan | Don L Gibbons | Boris Sepesi | Ignacio I Wistuba
Journal for immunotherapy of cancer | 2018

The clinical efficacy observed with inhibitors of programed cell death 1/programed cell death ligand 1 (PD-L1/PD-1) in cancer therapy has prompted studies to characterize the immune response in several tumor types, including lung cancer. However, the immunological profile of non-small cell lung carcinoma (NSCLC) treated with neoadjuvant chemotherapy (NCT) is not yet fully characterized, and it may be therapeutically important. The aim of this retrospective study was to characterize and quantify PD-L1/PD-1 expression and tumor-associated immune cells (TAICs) in surgically resected NSCLCs from patients who received NCT or did not receive NCT (non-NCT).

Pubmed ID: 29871672

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: P30 CA016672
  • Agency: NCI NIH HHS, United States
    Id: P50 CA070907

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Spotfire (tool)

RRID:SCR_008858

The Spotfire Gene Ontology Advantage Application integrates GO annotations with gene expression analysis in Spotfire DecisionSite for Functional Genomics. Researchers can select a subset of genes in DecisionSite visualizations and display their distribution in the Gene Ontology hierarchy. Similarly, selection of any process, function or cellular location in the Gene Ontology hierarchy automatically marks the corresponding genes in DecisionSite visualizations. Platform: Windows compatible

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