Evidence map›Paper›PMID 30958159›Full record

ArticleJournal of the Royal Society, Interface2019

Share, but unequally: a plausible mechanism for emergence and maintenance of intratumour heterogeneity.

Xin Li, D Thirumalai

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

2 authors.

Xin LiDepartment of Chemistry, University of Texas at Austin , Austin, TX 78712 , USA.
D ThirumalaiDepartment of Chemistry, University of Texas at Austin , Austin, TX 78712 , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intratumour heterogeneity (ITH), referring to the coexistence of different cell subpopulations in a single tumour, has been a major puzzle in cancer research for almost half a century. The lack of understanding of the underlying mechanism of ITH hinders progress in developing effective therapies for cancers. Based on the findings in a recent quantitative experiment on pancreatic cancer, we developed a general evolutionary model for one type of cancer, accounting for interactions between different cell populations through paracrine or juxtacrine factors. We show that the emergence of a stable heterogeneous state in a tumour requires an unequal allocation of paracrine growth factors (public goods) between cells that produce them and those that merely consume them. Our model provides a quantitative explanation of recent in vitro experimental studies in pancreatic cancer in which insulin-like growth factor II (IGF-II) plays the role of public goods. The calculated phase diagrams as a function of exogenous resources and fraction of growth factor producing cells show ITH persists only in a narrow range of concentration of exogenous IGF-II. Remarkably, maintenance of ITH requires cooperation among tumour cell subpopulations in harsh conditions, specified by lack of exogenous IGF-II, whereas surplus exogenous IGF-II elicits competition. Our theory also quantitatively accounts for measured in vivo tumour growth in glioblastoma multiforme (GBM). The predictions for GBM tumour growth as a function of the fraction of tumour cells are amenable to experimental tests. The mechanism for ITH also provides hints for devising efficacious therapies.

Indexed as

Cell ProliferationModels, BiologicalGlioblastomaHumansInsulin-Like Growth Factor IINeoplasm ProteinsIGF2 protein, humanInsulin-Like Growth Factor IINeoplasm Proteinsallocation strategycompetitioncooperationevolutionintratumour heterogeneitypublic goods

Identifiers

PMID30958159
PMCPMC6364648

What OpenQuestion holds

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Registered trials

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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.