FCS medical oncologist and hematologist Ernesto Bustinza-Linares, MD has co-authored an abstract published in the American Society of Clinical Oncology Journal, JCO Precision Oncology, that uncovers a new testing method to determine personalized care options for patients with metastatic non-small cell lung cancer (NSCLC). The abstract’s authors address the limitations of existing guidelines that recommend checkpoint immunotherapy, sometimes in combination with chemotherapy, for treating NSCLC, which often discounts patient variability and immune factors. The findings from the study show that by incorporating additional plasma proteome-based testing, combined with the standard protein inhibitor testing, clear differences in patient outcomes were observed after applying targeted treatments based on the testing results.
Current guidelines for the management of metastatic non–small cell lung cancer (NSCLC) without driver mutations recommend checkpoint immunotherapy with PD-1/PD-L1 inhibitors, either alone or in combination with chemotherapy. This approach fails to account for individual patient variability and host immune factors and often results in less-than-ideal outcomes. To address the limitations of the current guidelines, we developed and subsequently blindly validated a machine learning algorithm using pretreatment plasma proteomic profiles for personalized treatment decisions.
We conducted a multicenter observational trial (ClinicalTrials.gov identifier: NCT04056247) of patients undergoing PD-1/PD-L1 inhibitor–based therapy (n = 540) and an additional patient cohort receiving chemotherapy (n = 85) who consented to pretreatment plasma and clinical data collection. Plasma proteome profiling was performed using SomaScan Assay v4.1.
Our test demonstrates a strong association between model output and clinical benefit (CB) from PD-1/PD-L1 inhibitor–based treatments, evidenced by high concordance between predicted and observed CB (R2 = 0.98, P < .001). The test categorizes patients as either PROphet-positive or PROphet-negative and further stratifies patient outcomes beyond PD-L1 expression levels. The test successfully differentiates between PROphet-negative patients exhibiting high tumor PD-L1 levels (≥50%) who have enhanced overall survival when treated with a combination of immunotherapy and chemotherapy compared with immunotherapy alone (hazard ratio [HR], 0.23 [95% CI, 0.1 to 0.51], P = .0003). By contrast, PROphet-positive patients show comparable outcomes when treated with immunotherapy alone or in combination with chemotherapy (HR, 0.78 [95% CI, 0.42 to 1.44], P = .424).
Plasma proteome–based testing of individual patients, in combination with standard PD-L1 testing, distinguishes patient subsets with distinct differences in outcomes from PD-1/PD-L1 inhibitor–based therapies. These data suggest that this approach can improve the precision of first-line treatment for metastatic NSCLC.
Superior to osi (23 vs 16 progression-free survival). This is more toxic though, but seems manageable. Could this be a new first line standard of care? Also, this includes brain penetration data.
Adding SBRT improves local control and disease progression in the brain but not overall survival. Do the radiation oncologists have input? Is it worth it to control symptoms?
Neoadjuvant Osimertinib did not have a significant impact on major pathologic response and there were no ypCR’s after a median of ~8 weeks of therapy. I do think this shows a measurable response, enough such that I would consider Osi in a patient with “borderline resectable” disease.
Bispecific (a bispecific antibody targeting programmed cell death 1 protein and vascular endothelial growth factor) and chemotherapy … and it worked … second line after EGFR therapy failure.
Osimertinib in adjuvant, now after chemotherapy and radiation, next… Neoadjuvant??? Trials are ongoing.
This is here till progression.
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