Evidence map›Paper›PMID 30967137›Full record

ArticleBMC medical genetics2019

The CIMP-high phenotype is associated with energy metabolism alterations in colon adenocarcinoma.

Maria S Fedorova, George S Krasnov, Elena N Lukyanova, Andrew R Zaretsky, Alexey A Dmitriev, Nataliya V Melnikova, Alexey A Moskalev, Sergey L Kharitonov, Elena A Pudova, Zulfiya G Guvatova and 11 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-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

11 citing papers in PubMed, 31 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

21 authors at 3 institutions in 1 country.

Maria S FedorovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
George S KrasnovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Elena N LukyanovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Andrew R ZaretskyEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Alexey A DmitrievEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Nataliya V MelnikovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Alexey A MoskalevEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Sergey L KharitonovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Elena A PudovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Zulfiya G GuvatovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Anastasiya A KobelyatskayaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Irina A IshinaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Elena N SlavnovaNational Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia.
Anastasia V LipatovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Maria A ChernichenkoNational Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia.
Dmitry V SidorovNational Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia.
Anatoly Y PopovState Hospital №57, Moscow, Russia.
Marina V KiselevaNational Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia.
Andrey D KaprinNational Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia.
Anastasiya V SnezhkinaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Anna V KudryavtsevaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia. rhizamoeba@mail.ru.
Engelhardt Institute of Molecular Biology · RUMinistry of Health of the Russian Federation · RUMoscow City Hospital No 29 · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCpG island methylator phenotype (CIMP) is found in 15-20% of malignant colorectal tumors and is characterized by strong CpG hypermethylation over the genome. The molecular mechanisms of this phenomenon are not still fully understood. The development of CIMP is followed by global gene expression alterations and metabolic changes. In particular, CIMP-low colon adenocarcinoma (COAD), predominantly corresponded to consensus molecular subtype 3 (CMS3, "Metabolic") subgroup according to COAD molecular classification, is associated with elevated expression of genes participating in metabolic pathways.

methodsWe performed bioinformatics analysis of RNA-Seq data from The Cancer Genome Atlas (TCGA) project for CIMP-high and non-CIMP COAD samples with DESeq2, clusterProfiler, and topGO R packages. Obtained results were validated on a set of fourteen COAD samples with matched morphologically normal tissues using quantitative PCR (qPCR).

resultsUpregulation of multiple genes involved in glycolysis and related processes (ENO2, PFKP, HK3, PKM, ENO1, HK2, PGAM1, GAPDH, ALDOA, GPI, TPI1, and HK1) was revealed in CIMP-high tumors compared to non-CIMP ones. Most remarkably, the expression of the PKLR gene, encoding for pyruvate kinase participating in gluconeogenesis, was decreased approximately 20-fold. Up to 8-fold decrease in the expression of OGDHL gene involved in tricarboxylic acid (TCA) cycle was observed in CIMP-high tumors. Using qPCR, we confirmed the increase (4-fold) in the ENO2 expression and decrease (2-fold) in the OGDHL mRNA level on a set of COAD samples.

conclusionsWe demonstrated the association between CIMP-high status and the energy metabolism changes at the transcriptomic level in colorectal adenocarcinoma against the background of immune pathway activation. Differential methylation of at least nine CpG sites in OGDHL promoter region as well as decreased OGDHL mRNA level can potentially serve as an additional biomarker of the CIMP-high status in COAD.

Indexed as

DNA MethylationAdenocarcinomaAgedColonic NeoplasmsComputational BiologyCpG IslandsEnergy MetabolismFemaleHumansMaleMiddle AgedMutationPhenotypePromoter Regions, GeneticReproducibility of ResultsRussiaCIMPColon adenocarcinomaEnergy metabolismRNA-SeqTCGA

Identifiers

PMID30967137
PMCPMC6454590
OpenAlexW2938827389

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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.