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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal liquid biopsy predicts clinical benefit from immunotherapy in advanced non-small cell lung cancer

Ilaria Attili, Elisabetta Zulato, Stefano Indraccolo, Ludovica Marra et al.
12 citations
npj Precision Oncology
Cancer Genomics and Diagnostics
3.42
article

Longitudinal liquid biopsy predicts clinical benefit from immunotherapy in advanced non-small cell lung cancer

Ilaria Attili, Elisabetta Zulato, Stefano Indraccolo, Ludovica Marra, Valentina Guarneri, Laura Bonanno, Jessica Carlet, Andrea Boscolo Bragadin, Paola Del Bianco, Alberto Pavan
article en
12 citations

Abstract

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.

npj Precision OncologyVol. 8(1)
University of Padua (IT), Istituto Oncologico Veneto (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Ministero della Salute
Good health and well-being
Openalex Percentile: Top 7%
Cancer Genomics and Diagnostics
3.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.