Evidence map›Paper›PMID 33536339›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers.

Juan Jiménez-Sánchez, Jesús J Bosque, Germán A Jiménez Londoño, David Molina-García, Álvaro Martínez, Julián Pérez-Beteta, Carmen Ortega-Sabater, Antonio F Honguero Martínez, Ana M García Vicente, Gabriel F Calvo and 1 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

24 citing papers in PubMed, 64 citations in OpenAlex.

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  11. Clinicopathologic and metabolic variables fromAnnals of nuclear medicine · 2025
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  17. Promising Candidate Prognostic Biomarkers in [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  18. Spatial interactions modulate tumor growth and immune infiltration.bioRxiv : the preprint server for biology · 2024
    Article
  19. Article
  20. 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

11 authors at 3 institutions in 1 country.

Juan Jiménez-SánchezMathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, 13071, Spain.ORCID 0000-0001-5478-3416
Jesús J BosqueMathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, 13071, Spain.ORCID 0000-0002-9116-1453
Germán A Jiménez LondoñoThoracic Surgery Unit, Hospital General Universitario de Albacete, Albacete, 02006, Spain.
David Molina-GarcíaMathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, 13071, Spain.ORCID 0000-0002-6104-3894
Álvaro MartínezMathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, 13071, Spain.ORCID 0000-0003-1712-2971
Julián Pérez-BetetaMathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, 13071, Spain.ORCID 0000-0003-0317-6215
Carmen Ortega-SabaterMathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, 13071, Spain.
Antonio F Honguero MartínezDepartment of Mathematics, Universidad de Cádiz, Cádiz, 11009, Spain.
Ana M García VicenteThoracic Surgery Unit, Hospital General Universitario de Albacete, Albacete, 02006, Spain.
Gabriel F CalvoMathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, 13071, Spain; Gabriel.Fernandez@uclm.es victor.perezgarcia@uclm.es.ORCID 0000-0002-3623-236X
Víctor M Pérez-GarcíaMathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, 13071, Spain; Gabriel.Fernandez@uclm.es victor.perezgarcia@uclm.es.ORCID 0000-0002-6575-495X
University of Castilla-La Mancha · ESHospital General Universitario de Ciudad Real · ESUniversidad de Cádiz · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human cancers are biologically and morphologically heterogeneous. A variety of clonal populations emerge within these neoplasms and their interaction leads to complex spatiotemporal dynamics during tumor growth. We studied the reshaping of metabolic activity in human cancers by means of continuous and discrete mathematical models and matched the results to positron emission tomography (PET) imaging data. Our models revealed that the location of increasingly active proliferative cellular spots progressively drifted from the center of the tumor to the periphery, as a result of the competition between gradually more aggressive phenotypes. This computational finding led to the development of a metric, normalized distance from

Indexed as

Models, TheoreticalAdultAgedBiomarkers, TumorBreast NeoplasmsCarcinogenesisCarcinoma, Non-Small-Cell LungCell ProliferationFemaleFluorodeoxyglucose F18Genetic HeterogeneityHumansMaleMiddle AgedPositron-Emission TomographyPrognosisBiomarkers, TumorFluorodeoxyglucose F1818F-FDG PET /CTcancerevolutionary dynamicsprognostic biomarker

Identifiers

PMID33536339
PMCPMC8017959
OpenAlexW3126523442

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.