Evidence map›Paper›PMID 40053881›Full record

ArticleJCO clinical cancer informatics2025

Early Circulating Tumor DNA Kinetics as a Dynamic Biomarker of Cancer Treatment Response.

Aaron Li, Emil Lou, Kevin Leder, Jasmine Foo

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Timing matters: how mechanism-guided sequencing shapes the efficacy of radiotherapy-immunotherapy combinations : A systematic review.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Aaron LiSchool of Mathematics, University of Minnesota, Twin Cities, MN.ORCID 0000-0003-1869-5296
Emil LouMasonic Cancer Center, University of Minnesota, Twin Cities, MN.ORCID 0000-0002-1607-1386
Kevin LederDepartment of Industrial and Systems Engineering, University of Minnesota, Twin Cities, MN.
Jasmine FooSchool of Mathematics, University of Minnesota, Twin Cities, MN.ORCID 0000-0001-8238-325X

Funding

NSF CMMI 2228034NSF DMS 2052465
6 · The paper itself

Abstract

purposeCirculating tumor DNA (ctDNA) assays are promising tools for the prediction of cancer treatment response. Here, we build a framework for the design of ctDNA biomarkers of therapy response that incorporate variations in ctDNA dynamics driven by specific treatment mechanisms. These biomarkers are based on novel proposals for ctDNA sampling protocols, consisting of frequent sampling within a compact time window surrounding therapy initiation-which we hypothesize to hold valuable prognostic information on longer-term treatment response.

methodsWe develop mathematical models of ctDNA kinetics driven by tumor response to several therapy classes and use them to simulate randomized virtual patient cohorts to test candidate biomarkers.

resultsUsing this approach, we propose specific biomarkers, on the basis of ctDNA longitudinal features, for targeted therapy and radiation therapy. We evaluate and demonstrate the efficacy of these biomarkers in predicting treatment response within a randomized virtual patient cohort data set.

conclusionThis study highlights a need for tailoring ctDNA sampling protocols and interpretation methodology to specific biologic mechanisms of therapy response, and it provides a novel modeling and simulation framework for doing so. In addition, it highlights the potential of ctDNA assays for making early, rapid predictions of treatment response within the first days or weeks of treatment and generates hypotheses for further clinical testing.

Indexed as

Biomarkers, TumorCirculating Tumor DNANeoplasmsHumansKineticsPrognosisTreatment OutcomeBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID40053881
PMCPMC11895822

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.