Evidence map›Paper›PMID 27582538›Full record

ArticleOncotarget2016

TP53 mutation hits energy metabolism and increases glycolysis in breast cancer.

Hajnalka Harami-Papp, Lőrinc S Pongor, Gyöngyi Munkácsy, Gergő Horváth, Ádám M Nagy, Attila Ambrus, Péter Hauser, András Szabó, László Tretter, Balázs Győrffy

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

42 citing papers in PubMed, 64 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Hajnalka Harami-PappMTA TTK Lendület Cancer Biomarker Research Group, H-1117, Budapest, Hungary.
Lőrinc S PongorMTA TTK Lendület Cancer Biomarker Research Group, H-1117, Budapest, Hungary.
Gyöngyi MunkácsyMTA TTK Lendület Cancer Biomarker Research Group, H-1117, Budapest, Hungary.
Gergő HorváthSemmelweis University, Department of Medical Biochemistry, H-1094, Budapest, Hungary.
Ádám M NagySemmelweis University, Department of Medical Biochemistry, H-1094, Budapest, Hungary.
Attila AmbrusSemmelweis University, Department of Medical Biochemistry, H-1094, Budapest, Hungary.
Péter HauserSemmelweis University, 2nd Department of Pediatrics, H-1094, Budapest, Hungary.
András SzabóSemmelweis University, 2nd Department of Pediatrics, H-1094, Budapest, Hungary.
László TretterSemmelweis University, Department of Medical Biochemistry, H-1094, Budapest, Hungary.
Balázs GyőrffyMTA TTK Lendület Cancer Biomarker Research Group, H-1117, Budapest, Hungary.
Semmelweis University · HUHUN-REN Research Centre for Natural Sciences · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promising new hallmarks of cancer is alteration of energy metabolism that involves molecular mechanisms shifting cancer cells to aerobe glycolysis. Our goal was to evaluate the correlation between mutation in the commonly mutated tumor suppressor gene TP53 and metabolism. We established a database comprising mutation and RNA-seq expression data of the TCGA repository and performed receiver operating characteristics (ROC) analysis to compare expression of each gene between TP53 mutated and wild type samples. All together 762 breast cancer samples were evaluated of which 215 had TP53 mutation. Top up-regulated metabolic genes include glycolytic enzymes (e.g. HK3, GPI, GAPDH, PGK1, ENO1), glycolysis regulator (PDK1) and pentose phosphate pathway enzymes (PGD, TKT, RPIA). Gluconeogenesis enzymes (G6PC3, FBP1) were down-regulated. Oxygen consumption and extracellular acidification rates were measured in TP53 wild type and mutant breast cell lines with a microfluorimetric analyzer. Applying metabolic inhibitors in the presence and absence of D-glucose and L-glutamine in cell culture experiments resulted in higher glycolytic and mitochondrial activity in TP53 mutant breast cancer cell lines. In summary, TP53 mutation influences energy metabolism at multiple levels. Our results provide evidence for the synergistic activation of multiple hallmarks linking to these the mutation status of a key driver gene.

Indexed as

MutationBreast NeoplasmsCell Line, TumorEnergy MetabolismFemaleHumansTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53breast cancerglycolytic efficiencynext generation sequencingWarburg effect

Identifiers

PMID27582538
PMCPMC5341867
OpenAlexW2515469033

What OpenQuestion holds

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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.