The risk of PD-L1 expression misclassification in triple-negative breast cancer.

ABSTRACT:

Purpose

Stratification of patients with triple-negative breast cancer (TNBC) for anti-PD-L1 therapy is based on PD-L1 expression in tumor biopsies. This study sought to evaluate the risk of PD-L1 misclassification.

Methods

We conducted a high-resolution analysis on ten surgical specimens of TNBC. First, we determined PD-L1 expression pattern distribution via manual segmentation and measurement of 6666 microscopic clusters of positive PD-L1 immunohistochemical staining. Then, based on these results, we generated a computer model to calculate the effect of the positive PD-L1 fraction, aggregate size, and distribution of PD-L1 positive cells on the diagnostic accuracy.

Results

Our computer-based model showed that larger aggregates of PD-L1 positive cells and smaller biop

SUBMITTER: Ben Dori S 

PROVIDER: S-EPMC9239943 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature