3 Key Takeaways
Plain English Summary- 01Core Finding
However, TROP2 expression by pathologist assessment using conventional immunohistochemistry with visual scoring does not predict response to TROP2-directed antibody-drug conjugates in NSCLC.
- 02Study Evidence
Tested in a observational cohort study (n = 115) at the real-world cohort stage.
- 03Practical Meaning
Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.
What This Means for You
The TROP2 NMR cut-point was optimized and validated in patients with nonsquamous NSCLC without actionable genomic alterations (primary intended-use population, n = 221) in the biomarker (measurable biological signal)-evaluable population (n = 352) of the TROPION-Lung01 trial. Association with clinical outcomes was assessed. Progression-free survival was longer in Dato-DXd-treated (median 7.2 versus 4.0 months; hazard ratio 0.40, 95% confidence interval 0.25-0.64) but not docetaxel-treated (median 4.1 versus 4.4 months; hazard ratio 0.94, 95% confidence interval 0.59-1.49) patients with TROP2 NMR-positive versus TROP2 NMR-negative samples (treatment by biomarker status interaction P = 0.0098), indicating that TROP2 NMR may be a predictive biomarker for Dato-DXd.
The Discovery
Datopotamab deruxtecan (Dato-DXd)-a trophoblast cell surface antigen 2 (TROP2)-directed antibody-drug conjugate-has demonstrated efficacy (real-world effectiveness in the trial) in patients with advanced nonsquamous non-small-cell lung cancer (NSCLC) ± actionable genomic alterations. However, TROP2 expression by pathologist assessment using conventional immunohistochemistry with visual scoring does not predict response to TROP2-directed antibody-drug conjugates in NSCLC. We developed TROP2 quantitative continuous scoring (QCS)-a fully supervised computational pathology approach that quantifies TROP2 expression in individual NSCLC cells and subcellular components from immunohistochemistry-stained slides. Using QCS to determine TROP2 expression at the tumor cell membrane and cytoplasm, normalized membrane ratio (NMR) was developed (ratio of membrane relative to membrane + cytoplasmic TROP2) in the biomarker (measurable biological signal)-evaluable population of patients with advanced NSCLC in the TROPION-PanTumor01 study (n = 115). The TROP2 NMR cut-point was optimized and validated in patients with nonsquamous NSCLC without actionable genomic alterations (primary intended-use population, n = 221) in the biomarker-evaluable population (n = 352) of the TROPION-Lung01 trial.
How It Works, Simply
This oncology research focuses on antibodies · Immune response · Blood biomarker (measurable biological signal). Researchers evaluated it using an observational cohort study (n = 115) at the real-world cohort stage of medical research.
3 Key Takeaways
Clinical Takeaways- 01Core Finding
However, TROP2 expression by pathologist assessment using conventional immunohistochemistry with visual scoring does not predict response to TROP2-directed antibody-drug conjugates in NSCLC.
- 02Study Evidence
Tested in a observational cohort study (n = 115) at the real-world cohort stage.
- 03Practical Meaning
Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.
Biological Mechanism & Study Design
Study Design & Cohort
Observational cohort study
Observational cohort study (n = 115) · Real-World Cohort
Biological Pathway & Modality
Antibodies · Immune response · Blood biomarker
Intervention: Normalized membrane ratio of TROP2 as a predictor of clinical outcomes with
Experimental Findings & Endpoints
Datopotamab deruxtecan (Dato-DXd)-a trophoblast cell surface antigen 2 (TROP2)-directed antibody-drug conjugate-has demonstrated efficacy in patients with advanced nonsquamous non-small-cell lung cancer (NSCLC) ± actionable genomic alterations.
However, TROP2 expression by pathologist assessment using conventional immunohistochemistry with visual scoring does not predict response to TROP2-directed antibody-drug conjugates in NSCLC. We developed TROP2 quantitative continuous scoring (QCS)-a fully supervised computational pathology approach that quantifies TROP2 expression in individual NSCLC cells and subcellular components from immunohistochemistry-stained slides.
Using QCS to determine TROP2 expression at the tumor cell membrane and cytoplasm, normalized membrane ratio (NMR) was developed (ratio of membrane relative to membrane + cytoplasmic TROP2) in the biomarker-evaluable population of patients with advanced NSCLC in the TROPION-PanTumor01 study (n = 115). The TROP2 NMR cut-point was optimized and validated in patients with nonsquamous NSCLC without actionable genomic alterations (primary intended-use population, n = 221) in the biomarker-evaluable population (n = 352) of the TROPION-Lung01 trial.
Clinical Translation & Practice Context
The TROP2 NMR cut-point was optimized and validated in patients with nonsquamous NSCLC without actionable genomic alterations (primary intended-use population, n = 221) in the biomarker-evaluable population (n = 352) of the TROPION-Lung01 trial.
Association with clinical outcomes was assessed. Progression-free survival was longer in Dato-DXd-treated (median 7.2 versus 4.0 months; hazard ratio 0.40, 95% confidence interval 0.25-0.64) but not docetaxel-treated (median 4.1 versus 4.4 months; hazard ratio 0.94, 95% confidence interval 0.59-1.49) patients with TROP2 NMR-positive versus TROP2 NMR-negative samples (treatment by biomarker status interaction P = 0.0098), indicating that TROP2 NMR may be a predictive biomarker for Dato-DXd.
The Bottom Line · Clinical Pearl
“Progression-free survival was longer in Dato-DXd-treated (median 7.2 versus 4.0 months; hazard ratio 0.40, 95% confidence interval 0.25-0.64) but not docetaxel-treated (median 4.1 versus 4.4 months; hazard ratio 0.94, 95% confidence interval 0.59-1.49) patients with TROP2 NMR-positive versus TROP2 NMR-negative samples (treatment by biomarker status interaction P = 0.0098), indicating that TROP2 NMR may be a predictive biomarker for Dato-DXd.”
Published in Nature Medicine · Current Stage: Real-World Cohort