Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy. Issue 1 (6th May 2019)

• Record Type: Journal Article
• Authors: Althammer, Sonja; Tan, Tze Heng; Spitzmüller, Andreas; Rognoni, Lorenz; Wiestler, Tobias; Herz, Thomas; Widmaier, Moritz; Rebelatto, Marlon C.; Kaplon, Helene; Damotte, Diane; Alifano, Marco; Hammond, Scott A.; Dieu-Nosjean, Marie-Caroline; Ranade, Koustubh; Schmidt, Guenter; Higgs, Brandon W.; Steele, Keith E.
• Is Part Of: Journal for immunotherapy of cancer. Volume 7:Issue 1(2019)
• Publication Date: 2019-05-06
• Subjects: Biomarker -- Cancer immune checkpoint therapy -- CD8 -- Image analysis -- Immunohistochemistry -- NSCLC -- PD-L1; Cancer -- Immunotherapy -- Periodicals; Cancer -- Immunological aspects -- Periodicals; Tumors -- Immunological aspects -- Periodicals; Immunotherapy -- Periodicals; 616.99406105
• DOI: 10.1186/s40425-019-0589-x
• Languages: English
• ISSNs: 2051-1426

Abstract

Abstract : Background: Immune checkpoint therapies (ICTs) targeting the programmed cell death-1 (PD1)/programmed cell death ligand-1 (PD-L1) pathway have improved outcomes for patients with non-small cell lung cancer (NSCLC), particularly those with high PD-L1 expression. However, the predictive value of manual PD-L1 scoring is imperfect and alternative measures are needed. We report an automated image analysis solution to determine the predictive and prognostic values of the product of PD-L1+ cell and CD8+ tumor infiltrating lymphocyte (TIL) densities (CD8xPD-L1 signature) in baseline tumor biopsies. Methods: Archival or fresh tumor biopsies were analyzed for PD-L1 and CD8 expression by immunohistochemistry. Samples were collected from 163 patients in Study 1108/NCT01693562, a Phase 1/2 trial to evaluate durvalumab across multiple tumor types, including NSCLC, and a separate cohort of 199 non-ICT- patients. Digital images were automatically scored for PD-L1+ and CD8+ cell densities using customized algorithms applied with Developer XD™ 2.7 software. Results: For patients who received durvalumab, median overall survival (OS) was 21.0 months for CD8xPD-L1 signature-positive patients and 7.8 months for signature-negative patients ( p = 0.00002). The CD8xPD-L1 signature provided greater stratification of OS than high densities of CD8+ cells, high densities of PD-L1+ cells, or manually assessed tumor cell PD-L1 expression ≥25%. The CD8xPD-L1 signature did not stratify OS in non-ICT patients, although a high density of CD8+ cells was associated with higher median OS (high: 67 months; low: 39.5 months, p = 0.0009) in this group. Conclusions: An automated CD8xPD-L1 signature may help to identify NSCLC patients with improved response to durvalumab therapy. Our data also support the prognostic value of CD8+ TILS in NSCLC patients who do not receive ICT. Trial registration: ClinicalTrials.gov identifier: NCT01693562 . Study code: CD-ON-MEDI4736-1108. Interventional study (ongoing but not currently recruiting). Actual study start date: August 29, 2012. Primary completion date: June 23, 2017 (final data collection date for primary outcome measure).