Evidence map›Paper›PMID 37047714›Full record

ReviewInternational journal of molecular sciences2023

Evolution-Informed Strategies for Combating Drug Resistance in Cancer.

Kristi Lin-Rahardja, Davis T Weaver, Jessica A Scarborough, Jacob G Scott

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Stochastic Evolutionary Control in Heterogeneous Populations.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 2,3-Dihydroquinazolin-4(1RSC medicinal chemistry · 2024
    Article
  11. Article
  12. Article
  13. Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023
    Review
  14. Review
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

4 authors.

Kristi Lin-RahardjaSystems Biology & Bioinformatics, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0001-5671-0608
Davis T WeaverSystems Biology & Bioinformatics, Case Western Reserve University, Cleveland, OH 44106, USA.
Jessica A ScarboroughSystems Biology & Bioinformatics, Case Western Reserve University, Cleveland, OH 44106, USA.
Jacob G ScottSystems Biology & Bioinformatics, Case Western Reserve University, Cleveland, OH 44106, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
NIGMS NIH HHS T32 GM007250
6 · The paper itself

Abstract

The ever-changing nature of cancer poses the most difficult challenge oncologists face today. Cancer's remarkable adaptability has inspired many to work toward understanding the evolutionary dynamics that underlie this disease in hopes of learning new ways to fight it. Eco-evolutionary dynamics of a tumor are not accounted for in most standard treatment regimens, but exploiting them would help us combat treatment-resistant effectively. Here, we outline several notable efforts to exploit these dynamics and circumvent drug resistance in cancer.

Indexed as

NeoplasmsBiological EvolutionDrug ResistanceHumanscancerdrug resistanceecologyevolution

Identifiers

PMID37047714
PMCPMC10095117

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.