Evidence map›Paper›PMID 27759041›Full record

ArticleScientific reports2016

Cytoplasmic proliferating cell nuclear antigen connects glycolysis and cell survival in acute myeloid leukemia.

Delphine Ohayon, Alessia De Chiara, Nicolas Chapuis, Céline Candalh, Julie Mocek, Jean-Antoine Ribeil, Lamya Haddaoui, Norbert Ifrah, Olivier Hermine, Frédéric Bouillaud and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04970225 (Functional and Phenotypic Characteristics of Blood Neutrophils in Cystic Fibrosis), which is not on this map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.5field-weighted citation impact, top 10% 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.

NCT04970225 nacompletednot on this mapstarted 2021, after this paper: background citation

Functional and Phenotypic Characteristics of Blood Neutrophils in Cystic Fibrosis

TypeinterventionalSponsorAssistance Publique - Hôpitaux de ParisRan2021 to 2025Enrolled47ConditionsCystic FibrosisArms1 blood sample, 2 blood samples
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Metabolic dependencies of acute myeloid leukemia stem cells.International journal of hematology · 2024
    Review
  8. Review
  9. Selenomethionine Suppress the Progression of Poorly Differentiated Thyroid CancerCombinatorial chemistry & high throughput screening · 2024
    Article
  10. Review
  11. Inhibition of NAD+-Dependent Metabolic Processes Induces Cellular Necrosis and Tumor Regression in Rhabdomyosarcoma Models.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. AnFrontiers in endocrinology · 2020
    Article
  19. Article
  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

13 authors at 8 institutions in 1 country.

Delphine OhayonINSERM U1016, Institut Cochin, Paris, France.
Alessia De ChiaraINSERM U1016, Institut Cochin, Paris, France.
Nicolas ChapuisINSERM U1016, Institut Cochin, Paris, France.
Céline CandalhINSERM U1016, Institut Cochin, Paris, France.
Julie MocekINSERM U1016, Institut Cochin, Paris, France.
Jean-Antoine RibeilUniversité Paris Descartes, Faculté de Médecine Sorbonne Paris Cité, Paris, France.
Lamya HaddaouiINSERM U1016, Institut Cochin, Paris, France.
Norbert IfrahFILO: French Innovative Leukemia Organization (GOELAMS), CHU Bretonneau, TOURS France.
Olivier HermineUniversité Paris Descartes, Faculté de Médecine Sorbonne Paris Cité, Paris, France.
Frédéric BouillaudINSERM U1016, Institut Cochin, Paris, France.
Philippe FrachetInstitut de Biologie Structurale, Centre Etude Atomique, Grenoble, France.
Didier BouscaryINSERM U1016, Institut Cochin, Paris, France.
Véronique Witko-SarsatINSERM U1016, Institut Cochin, Paris, France.
Inserm · FRDélégation Paris 5 · FRAcute Leukemia French Association · FRCentre National de la Recherche Scientifique · FRHôpital Cochin · FRHôpital Necker-Enfants Malades · FRInstitut de Biologie Structurale · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytosolic proliferating cell nuclear antigen (PCNA), a scaffolding protein involved in DNA replication, has been described as a key element in survival of mature neutrophil granulocytes, which are non-proliferating cells. Herein, we demonstrated an active export of PCNA involved in cell survival and chemotherapy resistance. Notably, daunorubicin-resistant HL-60 cells (HL-60R) have a prominent cytosolic PCNA localization due to increased nuclear export compared to daunorubicin-sensitive HL-60 cells (HL-60S). By interacting with nicotinamide phosphoribosyltransferase (NAMPT), a protein involved in NAD biosynthesis, PCNA coordinates glycolysis and survival, especially in HL-60R cells. These cells showed a dramatic increase in intracellular NAD+ concentration as well as glycolysis including increased expression and activity of hexokinase 1 and increased lactate production. Furthermore, this functional activity of cytoplasmic PCNA was also demonstrated in patients with acute myeloid leukemia (AML). Our data uncover a novel pathway of nuclear export of PCNA that drives cell survival by increasing metabolism flux.

Indexed as

AnimalsCell SurvivalCytosolDaunorubicinDNA ReplicationDrug ResistanceGlycolysisHexokinaseHL-60 CellsHumansLeukemia, Myeloid, AcuteNicotinamide PhosphoribosyltransferaseProliferating Cell Nuclear AntigenProtein BindingProtein TransportDaunorubicinHexokinaseHK1 protein, humanNicotinamide PhosphoribosyltransferaseProliferating Cell Nuclear Antigen

Identifiers

PMID27759041
PMCPMC5069676
OpenAlexW2531957033

What OpenQuestion holds

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Registered trials

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.