Evidence map›Paper›PMID 35674097›Full record

ArticleMolecular oncology2022

Combining variant detection and fragment length analysis improves detection of minimal residual disease in postsurgery circulating tumour DNA of stage II-IIIA NSCLC patients.

Daan C L Vessies, Milou M F Schuurbiers, Vincent van der Noort, Irene Schouten, Theodora C Linders, Mirthe Lanfermeijer, Kalpana L Ramkisoensing, Koen J Hartemink, Kim Monkhorst, Michel M van den Heuvel and 1 more

Abstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Value and research advances of ctDNA in perioperative therapy for non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  11. The journal of liquid biopsy · 2024
    Article
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  15. [Research progress on circulating tumor DNA as a biomarker for minimal residual disease in solid tumors].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Review
  16. Review
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  20. Cell-Free DNA Fragmentation Patterns in a Cancer Cell Line.Diagnostics (Basel, Switzerland) · 2022
    Article
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

11 authors.

Daan C L VessiesDepartment of Laboratory Medicine, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.ORCID 0000-0002-7372-6625
Milou M F SchuurbiersDepartment of Pulmonology, Radboud University Medical Center, Nijmegen, The Netherlands.
Vincent van der NoortBiometrics Department, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Irene SchoutenDepartment of Thoracic Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Theodora C LindersDepartment of Laboratory Medicine, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Mirthe LanfermeijerDepartment of Laboratory Medicine, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Kalpana L RamkisoensingDepartment of Laboratory Medicine, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Koen J HarteminkDepartment of Surgery, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Kim MonkhorstDepartment of Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Michel M van den HeuvelDepartment of Pulmonology, Radboud University Medical Center, Nijmegen, The Netherlands.
Daan van den BroekDepartment of Laboratory Medicine, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stage II-IIIA nonsmall cell lung cancer (NSCLC) patients receive adjuvant chemotherapy after surgery as standard-of-care treatment, even though only approximately 5.8% of patients will benefit. Identifying patients with minimal residual disease (MRD) after surgery using tissue-informed testing of postoperative plasma circulating cell-free tumour DNA (ctDNA) may allow adjuvant therapy to be withheld from patients without MRD. However, the detection of MRD in the postoperative setting is challenging, and more sensitive methods are urgently needed. We developed a method that combines variant calling and a novel ctDNA fragment length analysis using hybrid capture sequencing data. Among 36 stage II-IIIA NSCLC patients, this method distinguished patients with and without recurrence of disease in a 20 times repeated 10-fold cross validation with 75% accuracy (P = 0.0029). In contrast, using only variant calling or only fragment length analysis, no signification distinction between patients was shown (P = 0.24 and P = 0.074 respectively). In addition, a variant-level fragmentation score was developed that was able to classify variants detected in plasma cfDNA into tumour-derived or white-blood-cell-derived variants with 84% accuracy. The findings in this study may help drive the integration of various types of information from the same data, eventually leading to cheaper and more sensitive techniques to be used in this challenging clinical setting.

Indexed as

Carcinoma, Non-Small-Cell LungCell-Free Nucleic AcidsCirculating Tumor DNALung NeoplasmsBiomarkers, TumorHumansNeoplasm, ResidualBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNAcirculating cell-free tumour DNActDNAfragmentomicsminimal residual diseaseMRDNSCLC

Identifiers

PMID35674097
PMCPMC9297781

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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.