Evidence map›Paper›PMID 25435365›Full record

ArticleOncogene2015

Polycomb-dependent repression of the potassium channel-encoding gene KCNA5 promotes cancer cell survival under conditions of stress.

K E Ryland, L K Svoboda, E D Vesely, J C McIntyre, L Zhang, J R Martens, E R Lawlor

Abstract read
In one paragraph

Article in Oncogene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Potassium Channels, Glucose Metabolism and Glycosylation in Cancer Cells.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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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

7 authors at 2 institutions in 1 country.

K E RylandDepartment of Pharmacology, University of Michigan, Ann Arbor, MI, USA.
L K SvobodaTranslational Oncology Program, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI, USA.
E D VeselyDepartment of Pharmacology, University of Michigan, Ann Arbor, MI, USA.
J C McIntyreDepartment of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL, USA.
L ZhangDepartment of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL, USA.
J R MartensDepartment of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL, USA.
E R LawlorTranslational Oncology Program, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USUniversity of Florida · US

Funding

INTERDEPARTMENTAL TRAINING IN PHARMACOLOGICAL SCIENCEST32GM007767 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ISOM, LORI L. · 1985 to 2019
$10.2M
Training Program in Tumor MicroenvironmentT32CA009676 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Maria G Castro, Analisa Virginia DiFeo · 1992 to 2026
$7.3M
Trafficking and Regulation of Cardiovascular K+ ChannelsR01HL070973 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARTENS, JEFFREY · 2003 to 2013
$3.0M
Investigating Oncogenic Cooperation between BMI-1 and EWS-FLI1R01CA134604 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAWLOR, ELIZABETH R · 2010 to 2014
$1.5M
NCI NIH HHS 1R01 CA134604NCI NIH HHS 5T32 CA009676-20NCI NIH HHS R01 CA134604NCI NIH HHS T32 CA009676NHLBI NIH HHS R01 HL070973NHLBI NIH HHS R01HL070973NIGMS NIH HHS T32 GM007767
6 · The paper itself

Abstract

Relapse after clinical remission remains a leading cause of cancer-associated death. Although the mechanisms of tumor relapse are complex, the ability of cancer cells to survive physiological stress is a prerequisite for recurrence. Ewing sarcoma (ES) and neuroblastoma (NB) are aggressive cancers that frequently relapse after initial remission. In addition, both tumors overexpress the polycomb group (PcG) proteins BMI-1 and EZH2, which contribute to tumorigenicity. We have discovered that ES and NB resist hypoxic stress-induced death and that survival depends on PcG function. Epigenetic repression of developmental programs is the most well-established cancer-associated function of PcG proteins. However, we noted that voltage-gated potassium (Kv) channel genes are also targets of PcG regulation in stem cells. Given the role of potassium in regulating apoptosis, we reasoned that repression of Kv channel genes might have a role in cancer cell survival. Here we describe our novel finding that PcG-dependent repression of the Kv1.5 channel gene KCNA5 contributes to cancer cell survival under conditions of stress. We show that survival of cancer cells in stress is dependent upon suppression of Kv1.5 channel function. The KCNA5 promoter is marked in cancer cells with PcG-dependent chromatin repressive modifications that increase in hypoxia. Genetic and pharmacological inhibition of BMI-1 and EZH2, respectively, restore KCNA5 expression, which sensitizes cells to stress-induced death. In addition, ectopic expression of the Kv1.5 channel induces apoptotic cell death under conditions of hypoxia. These findings identify a novel role for PcG proteins in promoting cancer cell survival via repression of KCNA5.

Indexed as

Cell SurvivalGene Expression Regulation, NeoplasticApoptosisCell HypoxiaCell Line, TumorEmbryonic Stem CellsGene SilencingHumansHuman Umbilical Vein Endothelial CellsKv1.5 Potassium ChannelPolycomb-Group ProteinsStress, PhysiologicalKCNA5 protein, humanKv1.5 Potassium ChannelPolycomb-Group Proteins

Identifiers

PMID25435365
PMCPMC4451446
OpenAlexW1981524366

What OpenQuestion holds

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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.