Evidence map›Paper›PMID 42828040›Full record

ArticleThe journal of liquid biopsy2026

Minimal residual disease combined with radiological tumor volume as a tool for identification of resected NSCLC patients at high risk of recurrence.

Michela Verzè, Roberta Minari, Paola Bordi, Giovanni Bocchialini, Gianmarco Martines, Monica Pluchino, Simona D'Agnelli, Letizia Gnetti, Agnese Cosenza, Valeria Balestra and 8 more

Abstract read
In one paragraph

Article in The journal of liquid biopsy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

18 authors.

Michela VerzèMedical Oncology Unit, University Hospital of Parma, Italy.
Roberta MinariMedical Oncology Unit, University Hospital of Parma, Italy.
Paola BordiMedical Oncology Unit, University Hospital of Parma, Italy.
Giovanni BocchialiniThoracic Surgery Unit, University Hospital of Parma, Italy.
Gianmarco MartinesDepartment of Medicine and Surgery, University of Parma, Italy.
Monica PluchinoMedical Oncology Unit, University Hospital of Parma, Italy.
Simona D'AgnelliMedical Oncology Unit, University Hospital of Parma, Italy.
Letizia GnettiPathology Unit, University Hospital of Parma, Italy.
Agnese CosenzaMedical Oncology Unit, University Hospital of Parma, Italy.
Valeria BalestraThoracic Surgery Unit, University Hospital of Parma, Italy.
Luca AmpolliniDepartment of Medicine and Surgery, University of Parma, Italy.
Ludovica LeoDepartment of Medicine and Surgery, University of Parma, Italy.
Gianluca MilaneseDepartment of Medicine and Surgery, University of Parma, Italy.
Camilla RobertiDepartment of Medicine and Surgery, University of Parma, Italy.
Clarissa GallaniDepartment of Medicine and Surgery, University of Parma, Italy.
Jim HayesGuardant Health, San Francisco, CA, USA.
Umberto MalapelleDepartment of Public Health, University of Naples Federico II, Naples, Italy.
Marcello TiseoMedical Oncology Unit, University Hospital of Parma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Circulating tumor DNA (ctDNA) is a valuable tool for assessing minimal residual disease (MRD) and predicting recurrence in resected non-small cell lung cancer (NSCLC) patients. Combining ctDNA-detection with radiological tumor volume may improve risk stratification. Methods: Patients with stage I-III resectable NSCLC were prospectively enrolled in the RESIDUAL study. Plasma samples were collected before surgery (T0), at landmark (10 days after surgery), during surveillance (T2, 20 days, T3, 1 months after surgery and every 3 months for the first year and then at the end of the second year after surgery), and at relapse. Samples were analyzed using Guardant Reveal, a tissue-free methylation-based ctDNA assay. Receiver operating characteristic analysis associated T1 ctDNA status with tumor volume; volume thresholds were calculated via Youden's J, and Cox regression analysis was performed. Results: Forty-eight patients were enrolled (median age 72 years; 64.6% male). Most had stage I disease (54.2%) and adenocarcinoma histology (79.2%). Median follow-up was 41.8 months, and 19 patients (39.6%) relapsed. Overall ctDNA detection rate was 15.2% across all timepoints. Pre-surgical ctDNA detection was higher in squamous histology and stage II-III disease and was associated with worse disease-free survival (DFS; p = 0.022). Landmark MRD detection was also associated with worse DFS (p = 0.024). Serial surveillance sampling anticipated radiologic recurrence by a median of 2.6 months (range 2.0-7.5). Patients with tumor volume >26,378 mm Conclusions: MRD detection in NSCLC resected patients predicts relapse and poor outcome; integrating ctDNA with tumor volume enhances identification of high-risk patients.

Indexed as

ctDNALiquid biopsyMinimal residual diseaseResected-NSCLCTumor volume

Identifiers

PMID42828040
PMCPMC13631347

What Socratic holds

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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 Socratic graph.