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M. Nga
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P2.04 - Poster Session/ Biology, Pathology, and Molecular Testing (ID 234)
- Event: WCLC 2015
- Type: Poster
- Track: Biology, Pathology, and Molecular Testing
- Presentations: 1
- Moderators:
- Coordinates: 9/08/2015, 09:30 - 17:00, Exhibit Hall (Hall B+C)
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P2.04-068 - PD-L1 Expression in Tumor Infiltrating Immune Cells Determined by Digital Imaging Is Associated with Poor Survival in NSCLC Patients (ID 1138)
09:30 - 09:30 | Author(s): M. Nga
- Abstract
Background:
Programmed Death-Ligand 1 (PD-L1) has emerged as a potential prognostic marker and as an effective target for therapeutic inhibition in cancer. Using digital slide imaging, we evaluated the clinical, molecular and survival associations of PD-L1 expression in non-small cell lung cancer (NSCLC) according to cell type (tumor and immune cell) and tissue localization (tumor and stroma).
Methods:
Tumor samples from 199 NSCLC patients were stained for PD-L1 by immunohistochemistry (IHC) and quantitatively assessed using the Vectra slide imaging system for PD-L1 tumor membrane expression (TME), PD-L1 positive (+) tumor immune cell density (TICD) and PD-L1+ stroma immune cell density (SICD). Assessment of gene mutation and anaplastic lymphoma kinase rearrangement were performed using the AmpliSeq Cancer Hotspot V2 assay and IHC, respectively.
Results:
High PD-L1 TME correlated with larger tumor size, squamous cell histology and poor differentiation. PD-L1+ TICD was associated with male gender and wild-type EGFR. Univariate analysis revealed that stage (p=0.001), PD-L1 TME (p=0.007) and PD-L1+ TICD (p=0.006) were associated with worse survival. Iterative p-value analysis indicated the optimal thresholds for PD-L1 TME were 30 (p=0.003, 73% of cases) or 160 (p<0.001, 7%), while for PD-L1+ TICD they were 6.9% (p=0.022, 33%) or 20% (p=0.001, 5%). In multivariate analysis, stage (p=0.018), PD-L1 TME≥160 (p=0.040) and PD-L1+ TICD≥6.9% (p=0.015) were independently associated with survival.
Conclusion:
PD-L1 Tumor Membrane Expression (TME) and PD-L1+ Tumor Immune Cell Density (TICD) expression determined by digital analysis have prognostic value in NSCLC.