Evidence map›Paper›PMID 39420036›Full record

ArticleNPJ precision oncology2024

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

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

Abstract read
In one paragraph

Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026
    Review
  2. Comparing Real-Time PCR and Amplicon-Based NGS for RoutineDiagnostics (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Article
  5. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
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  8. Review
  9. Article
  10. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Andrea Boscolo BragadinBasic and Translational Oncology Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy.ORCID http://orcid.org/0000-0001-9614-0814
Paola Del BiancoClinical Research Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy.ORCID http://orcid.org/0000-0002-6597-0265
Elisabetta ZulatoBasic and Translational Oncology Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy.
Ilaria AttiliDepartment of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy.
Alberto PavanDepartment of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy.ORCID http://orcid.org/0000-0003-4695-0100
Jessica CarletMedical Oncology 2, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy.
Ludovica MarraMedical Oncology 2, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy.
Valentina GuarneriDepartment of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy.
Stefano IndraccoloBasic and Translational Oncology Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy.ORCID http://orcid.org/0000-0002-4810-7136
Laura BonannoDepartment of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy. laura.bonanno@unipd.it.ORCID http://orcid.org/0000-0001-5218-4970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID39420036
PMCPMC11486993

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.