Evidence map›Paper›PMID 40425536›Full record

ReviewNPJ systems biology and applications2025

Bringing evolutionary cancer therapy to the clinic: a systems approach.

Arina Soboleva, Irene Grossmann, Anne-Marie C Dingemans, Jafar Rezaei, Kateřina Staňková

Abstract readReview
In one paragraph

Review in NPJ systems biology and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
  5. 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

5 authors.

Arina SobolevaInstitute for Health Systems Science, Delft University of Technology, Delft, The Netherlands. a.soboleva@tudelft.nl.
Irene GrossmannInstitute for Health Systems Science, Delft University of Technology, Delft, The Netherlands.
Anne-Marie C DingemansDepartment of Pulmonology, Erasmus Medical Center Cancer Institute, Rotterdam, The Netherlands.
Jafar RezaeiFaculty of Technology, Policy and Management, Delft University of Technology, Delft, The Netherlands.
Kateřina StaňkováInstitute for Health Systems Science, Delft University of Technology, Delft, The Netherlands.

Funding

HORIZON EUROPE Marie Sklodowska-Curie Actions No. 955708Nederlandse Organisatie voor Wetenschappelijk Onderzoek VI.Vidi.213.139
6 · The paper itself

Abstract

Evolutionary cancer therapy (ECT) delays or forestalls the progression of metastatic cancer by adjusting treatment based on individual patient and disease characteristics. Clinical implementation of ECT can improve patient outcomes but faces technical and cultural challenges. To address those, we propose a systems approach incorporating systems modeling, problem structuring, and stakeholder engagement. This approach identifies and addresses barriers to implementation, ensuring the feasibility of ECT in clinical practice and enabling better metastatic cancer care.

Indexed as

NeoplasmsSystems BiologyHumansPrecision Medicine

Identifiers

PMID40425536
PMCPMC12117075

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.