Evidence map›Paper›PMID 32971867›Full record

ArticleLife (Basel, Switzerland)2020

Correlation between Expression Profiles of Key Signaling Genes in Colorectal Cancer Samples from Type 2 Diabetic and Non-Diabetic Patients.

Zsuzsanna Elek, Zsolt Rónai, Gergely Keszler, László Harsányi, Endre Kontsek, Zoltán Herold, Magdolna Herold, Anikó Somogyi, Zsófia Bánlaki

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

Article in Life (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Zsuzsanna ElekInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, P.O. Box 2, H-1428 Budapest, Hungary.
Zsolt RónaiInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, P.O. Box 2, H-1428 Budapest, Hungary.ORCID 0000-0002-0909-7932
Gergely KeszlerInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, P.O. Box 2, H-1428 Budapest, Hungary.
László Harsányi1st Department of Surgery, Semmelweis University, P.O. Box 2, H-1428 Budapest, Hungary.
Endre Kontsek2nd Department of Pathology, Semmelweis University, P.O. Box 2, H-1428 Budapest, Hungary.
Zoltán HeroldDepartment of Internal Medicine and Hematology, Semmelweis University, P.O. Box 2, H-1428 Budapest, Hungary.ORCID 0000-0001-5990-4889
Magdolna HeroldDepartment of Internal Medicine and Hematology, Semmelweis University, P.O. Box 2, H-1428 Budapest, Hungary.
Anikó SomogyiDepartment of Internal Medicine and Hematology, Semmelweis University, P.O. Box 2, H-1428 Budapest, Hungary.
Zsófia BánlakiInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, P.O. Box 2, H-1428 Budapest, Hungary.
Semmelweis University · HU

Funding

Nemzeti Kutatási Fejlesztési és Innovációs Hivatal K-116128Nemzeti Kutatási Fejlesztési és Innovációs Hivatal K-131680Semmelweis Egyetem STIA-KF-17Semmelweis Egyetem STIA-KF-18
6 · The paper itself

Abstract

Several lines of epidemiological and biochemical evidence support the association of type 2 diabetes mellitus (T2DM) and colorectal cancer (CRC). T2DM has been shown to impinge on the transcriptome of colon tumor cells, promoting their proliferation and invasion. In order to gain insight into diabetes-specific modulation of colon cancer signaling, we analyzed gene expression patterns of more than five hundred genes encoding signaling proteins on TaqMan OpenArray panels from colonoscopic colorectal tumor samples of type 2 diabetic and non-diabetic patients. In total, 48 transcripts were found to be differentially expressed in tumors of T2DM patients as compared to healthy colon samples. Enrichment analysis with the g:GOSt (Gene Ontology Statistics) functional profiling tool revealed that the underlying genes can be classified into five signaling pathways (in decreasing order of significance: Wnt (wingless-type)/β-catenin; Hippo; TNF (tumor necrosis factor); PI3K/Akt (phosphoinositide-3 kinase/protein kinase B), and platelet activation), implying that targeted downregulation of these signaling cascades might help combat CRC in diabetic patients. Transcript levels of some of the differentially expressed genes were also measured from surgically removed diabetic and non-diabetic CRC specimens by individual qPCR (quantitative real-time PCR) assays using the adjacent normal tissue mRNA levels as an internal control. The most significantly altered genes in diabetic tumor samples were largely different from those in non-diabetic ones, implying that T2DM profoundly alters the expression of signaling genes and presumably the biological characteristics of CRC.

Indexed as

colorectal carcinomagene expressiongene interactionOpenArraytype 2 diabetesWnt pathway

Identifiers

PMID32971867
PMCPMC7555724
OpenAlexW3088986104

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.