Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy.

S, Althammer; TH, Tan; A, Spitzmüller; L, Rognoni; T, Wiestler; T, Herz; M, Widmaier; MC, Rebelatto; H, Kaplon; D, Damotte; M, Alifano; SA, Hammond; MC, Dieu-Nosjean; K, Ranade; G, Schmidt; BW, Higgs; KE, Steele

doi:10.1186/s40425-019-0589-x

Public

Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy.

Shared by NobleBlocks on May 6, 2019 • 12:00 AM UTC

Authors:

Althammer S

Tan TH

Spitzmüller A

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...

Subject

Immunohistochemistry

Image analysis

Biomarker

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