Evidence map›Paper›PMID 26494317›Full record

ArticleScientific reports2015

Overshoot during phenotypic switching of cancer cell populations.

Alessandro L Sellerio, Emilio Ciusani, Noa Bossel Ben-Moshe, Stefania Coco, Andrea Piccinini, Christopher R Myers, James P Sethna, Costanza Giampietro, Stefano Zapperi, Caterina A M La Porta

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Memory shapes microbial populations.PLoS computational biology · 2021
    Article
  7. The Role of CXCL16 in the Pathogenesis of Cancer and Other Diseases.International journal of molecular sciences · 2021
    Review
  8. MicroRNA-222 Regulates Melanoma Plasticity.Journal of clinical medicine · 2020
    Article
  9. Cancer Stem Cell Plasticity - A Deadly Deal.Frontiers in molecular biosciences · 2020
    Review
  10. Cancer stem cells, plasticity, and drug resistance.Cancer drug resistance (Alhambra, Calif.) · 2020
    Review
  11. Cross-Talk Between circRNAs and mRNAs Modulates MiRNA-mediated Circuits and Affects Melanoma Plasticity.Cancer microenvironment : official journal of the International Cancer Microenvironment Society · 2019
    Article
  12. Article
  13. Toward understanding cancer stem cell heterogeneity in the tumor microenvironment.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  14. Review
  15. Review
  16. Review
  17. 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

10 authors.

Alessandro L SellerioCenter for Complexity and Biosystems, Department of Physics, University of Milano, via Celoria 16, 20133 Milano, Italy.
Emilio CiusaniIstituto Neurologico Carlo Besta, Milano, Italy.
Noa Bossel Ben-MosheDepartment of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.
Stefania CocoDipartimento di Scienze Bomediche per la Salute, University of Milano, Milano, Italy.
Andrea PiccininiDipartimento di Scienze Bomediche per la Salute, University of Milano, Milano, Italy.
Christopher R MyersLaboratory of Atomic and Solid State Physics, Physics Department, Cornell University, Ithaca, NY.
James P SethnaLaboratory of Atomic and Solid State Physics, Physics Department, Cornell University, Ithaca, NY.
Costanza GiampietroCenter for Complexity and Biosystems, Department of Bioscience, University of Milano, via Celoria 26, 20133 Milano, Italy.
Stefano ZapperiCenter for Complexity and Biosystems, Department of Physics, University of Milano, via Celoria 16, 20133 Milano, Italy.
Caterina A M La PortaCenter for Complexity and Biosystems, Department of Bioscience, University of Milano, via Celoria 26, 20133 Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of tumor cell populations is hotly debated: do populations derive hierarchically from a subpopulation of cancer stem cells (CSCs), or are stochastic transitions that mutate differentiated cancer cells to CSCs important? Here we argue that regulation must also be important. We sort human melanoma cells using three distinct cancer stem cell (CSC) markers - CXCR6, CD271 and ABCG2 - and observe that the fraction of non-CSC-marked cells first overshoots to a higher level and then returns to the level of unsorted cells. This clearly indicates that the CSC population is homeostatically regulated. Combining experimental measurements with theoretical modeling and numerical simulations, we show that the population dynamics of cancer cells is associated with a complex miRNA network regulating the Wnt and PI3K pathways. Hence phenotypic switching is not stochastic, but is tightly regulated by the balance between positive and negative cells in the population. Reducing the fraction of CSCs below a threshold triggers massive phenotypic switching, suggesting that a therapeutic strategy based on CSC eradication is unlikely to succeed.

Indexed as

ATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2HumansMelanomaNeoplasm ProteinsNeoplastic Stem CellsNerve Tissue ProteinsPhenotypeReceptors, ChemokineReceptors, CXCR6Receptors, Nerve Growth FactorReceptors, VirusABCG2 protein, humanATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2CXCR6 protein, humanNeoplasm ProteinsNerve Tissue ProteinsNGFR protein, humanReceptors, ChemokineReceptors, CXCR6Receptors, Nerve Growth FactorReceptors, Virus

Identifiers

PMID26494317
PMCPMC4616026

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.