A Novel Approach to Detect Programed Death Ligand 1 (PD-L1) Status and Multiple Tumor Mutations Using a Single Non–Small-Cell Lung Cancer (NSCLC) Bronchoscopy Specimen
journal contribution
posted on 2024-11-02, 11:38authored byAmanda Vannitamby, Shona Hendry, Tanvi Makadia, Janine Danks, John Slavin, Louis Irving, Daniel Steinfort, Steven BozinovskiSteven Bozinovski
Multiple biomarkers are under evaluation to guide the use of immune checkpoint inhibitors in non–small-cell lung cancer (NSCLC), including programed death ligand 1 (PD-L1) tumor cell staining. We have developed a new approach that accurately quantifies PD-L1 status and identifies multiple mutations by using a single bronchoscopy specimen. A novel molecular marker was identified to detect the presence of malignant cells in radial endobronchial ultrasound bronchial brushings from NSCLC (n = 15) and benign (n = 13) nodules by quantitative real-time RT-PCR (RT-qPCR). The MMP9:TIMP3 transcript ratio was significantly increased in NSCLC and using receiver operating characteristic curve analysis accurately discriminated malignant and benign bronchoscopy specimens (area under the curve = 0.98; 95% CI, 0.93–1; P < 0.0001). Utilizing the same specimens, PD-L1 expression and multiple oncogenic mutations were detected by RT-qPCR and next-generation sequencing. A second archive of snap-frozen squamous cell carcinoma (n = 40) and control (n = 20) biopsies with matching formalin-fixed, paraffin-embedded slides were used to compare PD-L1 status by immunohistochemistry and RT-qPCR. The biopsy cohort confirmed that the MMP-9:TIMP3 ratio was predictive of malignancy and demonstrated that PD-L1 transcript expression was concordant with PD-L1 tumor cell membrane staining in NSCLC (Spearman r = 0.636, P < 0.0001). This rapid molecular approach can detect malignant cells and using the same single bronchoscopy specimen can generate high-quality unfixed nucleic acid that accurately quantify PD-L1 status and identify multiple oncogenic mutations.
Funding
National Health and Medical Research Council : http://purl.org/au-research/grants/nhmrc/GNT1142013