Longitudinal liquid biopsy predicts clinical benefit from immunotherapy in advanced non-small cell lung cancer
High heterogeneity in clinical benefit characterizes the use of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC). We prospectively enrolled 113 advanced NSCLC patients treated with ICIs and performed liquid biopsy at the time of ICI start (T1), after 3 weeks (T2) and at the time of radiological evaluation (T3). Molecular variables were associated with outcome endpoints: cfDNA quantification, its dynamic change (∆T2-T1), variant allele frequency (VAF) of the gene with the highest frequency detected at baseline with NGS (maxVAF) and its dynamic change (∆T2-T1). At multivariate analysis, PD-L1 negativity, T1 cfDNA, cfDNA increase (∆T2-T1), and T2 VAF were significantly associated with shorter progression-free survival (PFS); PD-L1 negativity, squamous histology, T1 cfDNA, cfDNA (∆T2-T1) increase, and T2 maxVAF affected overall survival (OS). Among high PD-L1 expressing patients treated in first-line, elevated T2 maxVAF and cfDNA increase (∆T2-T1) correlated with worse PFS; higher T2 maxVAF and cfDNA increase (∆T2-T1) with worse OS. Derived integrated models were used to build nomograms and categorize different risk groups.
Authors
- Ilaria Attili (ORCID: https://orcid.org/0000-0003-1333-6622)
- Elisabetta Zulato (ORCID: https://orcid.org/0000-0002-2624-5060)
- Stefano Indraccolo (ORCID: https://orcid.org/0000-0002-4810-7136)
- Ludovica Marra
- Valentina Guarneri (ORCID: https://orcid.org/0000-0002-2375-8397)
- Laura Bonanno (ORCID: https://orcid.org/0000-0001-5218-4970)
- Jessica Carlet
- Andrea Boscolo Bragadin (ORCID: https://orcid.org/0000-0001-9614-0814)
- Paola Del Bianco (ORCID: https://orcid.org/0000-0002-6597-0265)
- Alberto Pavan (ORCID: https://orcid.org/0000-0003-4695-0100)
Institutions
- University of Padua (IT)
- Istituto Oncologico Veneto (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Publication Details
- Journal
- npj Precision Oncology
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1038/s41698-024-00704-9
- Citations
- 12
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 3.42
Funders
- Ministero della Salute