Evidence map›Paper›PMID 28962550›Full record

ArticleBMC genomics2017

A transcriptome-based protein network that identifies new therapeutic targets in colorectal cancer.

Stéphanie Durand, Killian Trillet, Arnaud Uguen, Aude Saint-Pierre, Catherine Le Jossic-Corcos, Laurent Corcos

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. HighTranslational cancer research · 2026
    Article
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  6. Prognostic impact of cancer stem cell markersAmerican journal of translational research · 2020
    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

6 authors at 2 institutions in 1 country.

Stéphanie DurandINSERM 1078 Unit, "Cancérologie appliquée et épissage alternatif" team, Brest Institute of Health, Agronomy and Material (IBSAM), Faculty of medicine, University of Western Brittany (UBO), 22 avenue Camille Desmoulins, F-29200, Brest, France.
Killian TrilletINSERM 1078 Unit, "Cancérologie appliquée et épissage alternatif" team, Brest Institute of Health, Agronomy and Material (IBSAM), Faculty of medicine, University of Western Brittany (UBO), 22 avenue Camille Desmoulins, F-29200, Brest, France.
Arnaud UguenINSERM 1078 Unit, "Cancérologie appliquée et épissage alternatif" team, Brest Institute of Health, Agronomy and Material (IBSAM), Faculty of medicine, University of Western Brittany (UBO), 22 avenue Camille Desmoulins, F-29200, Brest, France.
Aude Saint-PierreINSERM 1078 Unit, "Epidemiology, genetic Epidemiology and population genetics" team, 46 rue Félix Le Dantec, F-29200, Brest, France.
Catherine Le Jossic-CorcosINSERM 1078 Unit, "Cancérologie appliquée et épissage alternatif" team, Brest Institute of Health, Agronomy and Material (IBSAM), Faculty of medicine, University of Western Brittany (UBO), 22 avenue Camille Desmoulins, F-29200, Brest, France.
Laurent CorcosINSERM 1078 Unit, "Cancérologie appliquée et épissage alternatif" team, Brest Institute of Health, Agronomy and Material (IBSAM), Faculty of medicine, University of Western Brittany (UBO), 22 avenue Camille Desmoulins, F-29200, Brest, France. laurent.corcos@univ-brest.fr.
Université de Bretagne Occidentale · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColon cancer occurrence is increasing worldwide, making it the third most frequent cancer. Although many therapeutic options are available and quite efficient at the early stages, survival is strongly decreased when the disease has spread to other organs. The identification of molecular markers of colon cancer is likely to help understanding its course and, eventually, to uncover novel genes to be targeted by drugs. In this study, we compared gene expression in a set of 95 human colon cancer samples to that in 19 normal colon mucosae, focusing on 401 genes from 5 selected pathways (Apoptosis, Cancer, Cholesterol metabolism and lipoprotein signaling, Drug metabolism, Wnt/beta-catenin). Deregulation of mRNA levels largely matched that of proteins, leading us to build in silico protein networks, starting from mRNA levels, to identify key proteins central to network activity.

resultsAmong the analyzed genes, 10.5% (42) had no reported link with colon cancer, including the SFRP1, IGF1 and ADH1B (down), and MYC and IL8 (up), whose encoded proteins were most interacting with other proteins from the same or even distinct networks. Analyzing all pathways globally led us to uncover novel functional links between a priori unrelated or rather remotely connected pathways, such as the Drug metabolism and the Cancer pathways or, even more strikingly, between the Cholesterol metabolism and lipoprotein signaling and the Cancer pathways. In addition, we analyzed the responsiveness of some of the deregulated genes essential to network activities, to chemotherapeutic agents used alone or in presence of Lovastatin, a lipid-lowering drug. Some of these treatments could oppose the deregulations occurring in cancer samples, including those of the CHECK2, CYP51A1, HMGCS1, ITGA2, NME1 or VEGFA genes.

conclusionsOur network-based approach allowed discovering genes not previously known to play regulatory roles in colon cancer. Our results also showed that selected drug treatments might revert the cancer-specific deregulation of genes playing prominent roles within the networks operating to maintain colon homeostasis. Among those genes, some could constitute novel testable targets to eliminate colon cancer cells, either directly or, potentially, through the use of lipid-lowering drugs such as statins, in association with selected anticancer drugs.

Indexed as

Gene Expression ProfilingMolecular Targeted TherapyColorectal NeoplasmsHT29 CellsHumansLovastatinProtein Interaction MapsLovastatinColorectal cancerProtein networkTherapeutic targetTranscriptome

Identifiers

PMID28962550
PMCPMC5622428
OpenAlexW2758837853

What OpenQuestion holds

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LicenceCC BY
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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.