Evidence map›Paper›PMID 31071451›Full record

ArticleGenomics, proteomics & bioinformatics2019

Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name.

Huiyan Sun, Liang Chen, Sha Cao, Yanchun Liang, Ying Xu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
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  12. New Insights in ATP Synthesis as Therapeutic Target in Cancer and Angiogenic Ocular Diseases.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2024
    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

5 authors at 4 institutions in 3 countries.

Huiyan SunThe China-Japan Union Hospital, Jilin University, Changchun 130033, China; MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, College of Computer Science and Technology, Jilin University, Changchun 130012, China; Computational Systems Biology Lab, Department of Biochemistry and Molecular Biology and Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.
Liang ChenFaculty of Health Sciences, University of Macau, Taipa, Macau SAR 999078, China.
Sha CaoComputational Systems Biology Lab, Department of Biochemistry and Molecular Biology and Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA; Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, IN 46202, USA.
Yanchun LiangMOE Key Laboratory of Symbolic Computation and Knowledge Engineering, College of Computer Science and Technology, Jilin University, Changchun 130012, China; Zhuhai Laboratory of MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, Zhuhai College of Jilin University, Zhuhai 519041, China.
Ying XuThe China-Japan Union Hospital, Jilin University, Changchun 130033, China; MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, College of Computer Science and Technology, Jilin University, Changchun 130012, China; Computational Systems Biology Lab, Department of Biochemistry and Molecular Biology and Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA. Electronic address: xyn@uga.edu.
Union Hospital · CNJilin University · CNUniversity of Georgia · USUniversity of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been observed that both cancer tissue cells and normal proliferating cells (NPCs) have the Warburg effect. Our goal here is to demonstrate that they do this for different reasons. To accomplish this, we have analyzed the transcriptomic data of over 7000 cancer and control tissues of 14 cancer types in TCGA and data of five NPC types in GEO. Our analyses reveal that NPCs accumulate large quantities of ATPs produced by the respiration process before starting the Warburg effect, to raise the intracellular pH from ∼6.8 to ∼7.2 and to prepare for cell division energetically. Once cell cycle starts, the cells start to rely on glycolysis for ATP generation followed by ATP hydrolysis and lactic acid release, to maintain the elevated intracellular pH as needed by cell division since together the three processes are pH neutral. The cells go back to the normal respiration-based ATP production once the cell division phase ends. In comparison, cancer cells have reached their intracellular pH at ∼7.4 from top down as multiple acid-loading transporters are up-regulated and most acid-extruding ones except for lactic acid exporters are repressed. Cancer cells use continuous glycolysis for ATP production as way to acidify the intracellular space since the lactic acid secretion is decoupled from glycolysis-based ATP generation and is pH balanced by increased expressions of acid-loading transporters. Co-expression analyses suggest that lactic acid secretion is regulated by external, non-pH related signals. Overall, our data strongly suggest that the two cell types have the Warburg effect for very different reasons.

Indexed as

GlycolysisAdenosine TriphosphateCell Line, TumorCell ProliferationCytosolGene Expression RegulationHumansHydrogen-Ion ConcentrationHydrogen PeroxideIntracellular SpaceIronMembrane Transport ProteinsNeoplasmsProteasome Endopeptidase ComplexTime FactorsAdenosine TriphosphateFenton's reagentHydrogen PeroxideIronMembrane Transport ProteinsProteasome Endopeptidase ComplexCancerCell proliferationFenton reactionpH homeostasisWarburg effect

Identifiers

PMID31071451
PMCPMC6818181
OpenAlexW2944813678

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.