Evidence map›Paper›PMID 42761421›Full record

ReviewFrontiers in oncology2026

ctDNA-based detection of residual disease: implications for management of non-metastatic NSCLC.

Charline Leclercq, Mylène Wespiser, Gaëlle Tachon, Adrien Buisson, Maurice Pérol, Aurélie Swalduz

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Charline LeclercqDepartment of Medical Oncology, Centre Léon Bérard, Lyon, France.
Mylène WespiserDepartment of Medical Oncology, Centre Léon Bérard, Lyon, France.
Gaëlle TachonDepartment of Biopathology, Centre Léon Bérard, Lyon, France.
Adrien BuissonDepartment of Biopathology, Centre Léon Bérard, Lyon, France.
Maurice PérolDepartment of Medical Oncology, Centre Léon Bérard, Lyon, France.
Aurélie SwalduzDepartment of Medical Oncology, Centre Léon Bérard, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advancements in perioperative and consolidative immunotherapy in early-stage to locally advanced non-small cell lung cancer (NSCLC), recurrence rates remain substantial. In this context, liquid biopsy has transformed the oncological landscape by enabling the non-invasive detection of tumor-derived components, including DNA, cells, and proteins, from biological fluids. Although plasma-based circulating tumor DNA (ctDNA) analysis is routinely used in metastatic NSCLC to identify actionable genomic alterations at diagnosis and mechanisms of acquired resistance to targeted therapies, its application in non-metastatic disease represents a pivotal challenge. Leveraging minimal residual disease (MRD) detection through ctDNA offers the potential for early risk stratification, enabling the identification of patients who may benefit from treatment escalation, such as intensified adjuvant or consolidative regimens, while sparing low-risk patients from unnecessary toxicity through de-escalation strategies. This review summarizes the biological and technological foundations underlying ctDNA-based MRD detection, including tumor-informed and non-tumor-informed approaches, and examines the current evidence supporting its clinical utility in non-metastatic NSCLC. We also highlight key technical and clinical challenges and discuss future perspectives to optimize integration of ctDNA MRD assessment into routine clinical practice.

Indexed as

circulating tumor DNAearly-stage lung cancerliquid biopsyminimal residual diseasenon-small cell lung cancerrisk stratification

Identifiers

PMID42761421
PMCPMC13587235

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.