Evidence map›Paper›PMID 41209620›Full record

ArticleTherapeutic advances in medical oncology2025

CtDNA-guided de-escalation of adjuvant chemotherapy in stage III colon cancer: early model-based evaluation of cost-effectiveness.

Haoyue Wang, Astrid Kramer, Marjolein J E Greuter, Carmen Rubio-Alarcón, Birgit Lissenberg-Witte, Gerrit A Meijer, Niels F M Kok, Daan van den Broek, Geraldine R Vink, Jeanine M L Roodhart and 3 more

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Practical integration of ctDNA-defined minimal residual disease in gastrointestinal cancers: testing windows and evidence-aligned management frameworks.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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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

13 authors.

Haoyue WangDepartment of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-0682-8063
Astrid KramerDepartment of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-2201-5794
Marjolein J E GreuterDepartment of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-6151-3382
Carmen Rubio-AlarcónDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Birgit Lissenberg-WitteDepartment of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-9448-1826
Gerrit A MeijerDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-0330-3130
Niels F M KokDepartment of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-1193-0214
Daan van den BroekDepartment of Laboratory Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-0514-9811
Geraldine R VinkDepartment of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-6731-9660
Jeanine M L RoodhartDepartment of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Mark SausenLabcorp, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-2916-5269
Remond J A FijnemanDepartment of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066 CX, The Netherlands.ORCID https://orcid.org/0000-0003-2076-5521
Veerle M H CoupéDepartment of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9553-9791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: All stage III colon cancer (CC) patients are recommended adjuvant chemotherapy (ACT) after surgery, while over half are already cured by surgery alone. The prognostic biomarker circulating tumor DNA (ctDNA) could potentially guide the decision on whom to withhold ACT. Objective: We assessed the cost-effectiveness of ctDNA-guided ACT de-escalation in stage III CC. Design: A decision model "PATTERN-stageIII" simulates CC from diagnosis till death in surgically treated stage III patients. Methods: We evaluated administering ACT in all patients (i.e., All ACT strategy), and three ACT de-escalation strategies by omitting ACT in patients who are (Strategy 1) both pT1-3N1 and ctDNA-negative, (Strategy 2) pT1-3N1, have no vascular invasion, and are ctDNA-negative, and (Strategy 3) pT1-2N1 and ctDNA-negative. For each strategy, costs, quality-adjusted life years (QALYs), and net monetary benefit were estimated. Sensitivity analyses assessed changes in ACT effectiveness and ctDNA-related parameters. Results: In de-escalation strategies 1, 2, and 3, respectively, 52%, 61%, and 88% of patients were predicted to receive ACT, thereby losing 0.322, 0.237, and 0.034 QALYs per person. The "All ACT strategy" was preferred in terms of cost-effectiveness. Sensitivity analyses demonstrated scenarios where ctDNA-guided de-escalation strategies were cost-effective compared to "All ACT," including improved ACT treatment effect in ctDNA-positive patients, higher ctDNA positivity rates, enhanced ctDNA prognostic value, and/or reduced ctDNA testing costs. Conclusion: ctDNA-guided strategies for ACT de-escalation are currently not cost-effective compared to an "All ACT strategy." One explanation is the non-negligible recurrence risk in ctDNA-negative patients. ctDNA-guided strategies could potentially become cost-effective if more than two ctDNA-related parameters improve simultaneously.

Indexed as

colon cancercost-effectivenessctDNA

Identifiers

PMID41209620
PMCPMC12592672

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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.