Evidence map›Paper›PMID 35155562›Full record

ArticleFrontiers in molecular biosciences2021

A Transient Metabolic State in Melanoma Persister Cells Mediated by Chemotherapeutic Treatments.

Prashant Karki, Vahideh Angardi, Juan C Mier, Mehmet A Orman

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  13. Article
  14. Article
  15. Dormancy of cutaneous melanoma.Cancer cell international · 2024
    Review
  16. Article
  17. Review: The Key Factors to Melanomagenesis.Life (Basel, Switzerland) · 2023
    Review
  18. Review
  19. Journal of biosciences · 2022
    Review
  20. 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

4 authors.

Prashant KarkiDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, United States.
Vahideh AngardiDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, United States.
Juan C MierDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, United States.
Mehmet A OrmanDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persistence is a transient state that poses an important health concern in cancer therapy. The mechanisms associated with persister phenotypes are highly diverse and complex, and many aspects of persister cell physiology remain to be explored. We applied a melanoma cell line and panel of chemotherapeutic agents to show that melanoma persister cells are not necessarily preexisting dormant cells; in fact, they may be induced by cancer chemotherapeutics. Our metabolomics analysis and phenotype microarray assays further demonstrated a transient upregulation in Krebs cycle metabolism in persister cells. We also verified that targeting electron transport chain activity can significantly reduce melanoma persister levels. The reported metabolic remodeling feature seems to be a conserved characteristic of melanoma persistence, as it has been observed in various melanoma persister subpopulations derived from a diverse range of chemotherapeutics. Elucidating a global metabolic mechanism that contributes to persister survival and reversible switching will ultimately foster the development of novel cancer therapeutic strategies.

Indexed as

cancer persisterschemotherapeuticsdrug-tolerancehigh-throughput assaysmelanomametabolomics

Identifiers

PMID35155562
PMCPMC8829428

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.