Evidence map›Paper›PMID 28628609›Full record

ArticlePloS one2017

A multidimensional integration analysis reveals potential bridging targets in the process of colorectal cancer liver metastasis.

Bo Gao, Tian Yu, Dongbo Xue, Boshi Sun, Qin Shao, Hani Choudhry, Victoria Marcus, Jiannis Ragoussis, Yuguo Zhang, Weihui Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 7 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

11 authors at 6 institutions in 4 countries.

Bo GaoDepartment of General Surgery, the First Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID http://orcid.org/0000-0003-3461-0096
Tian YuSection of Immunity, Infection and Inflammation, Division of Applied Medicine, School of Medicine and Dentistry, Institute of Medical Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom.
Dongbo XueDepartment of General Surgery, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Boshi SunDepartment of General Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Qin ShaoDepartment of Pathology, The Research Institute of McGill University Health Center, Montreal, Québec, Canada.
Hani ChoudhryDepartment of Biochemistry, Faculty of Science, Cancer and Mutagenesis Unit, King Fahd Center for Medical Research, Center of Innovation in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Victoria MarcusDepartment of Pathology, The Research Institute of McGill University Health Center, Montreal, Québec, Canada.
Jiannis RagoussisMcGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada.
Yuguo ZhangDepartment of Traditional and Western Medical Hepatology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Weihui ZhangDepartment of General Surgery, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Zu-Hua GaoDepartment of Pathology, The Research Institute of McGill University Health Center, Montreal, Québec, Canada.
Harbin Medical University · CNMcGill University Health Centre · CAHebei Medical University · CNKing Abdulaziz University · SAMcGill University and Génome Québec Innovation Centre · CAUniversity of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approximately 9% of cancer-related deaths are caused by colorectal cancer. Liver metastasis is a major factor for the high colorectal cancer mortality rate. However, the molecular mechanism underlying colorectal cancer liver metastasis remains unclear. Using a global and multidimensional integration approach, we studied sequencing data, protein-protein interactions, and regulation of transcription factor and non-coding RNAs in primary tumor samples and liver metastasis samples to unveil the potential bridging molecules and the regulators that functionally link different stages of colorectal cancer liver metastasis. Primary tumor samples and liver metastasis samples had modules with significant overlap and crosstalk from which we identified several bridging genes (e.g. KNG1 and COX5B), transcription factors (e.g. E2F4 and CDX2), microRNAs (e.g. miR-590-3p and miR-203) and lncRNAs (e.g. lincIRX5 and lincFOXF1) that may play an important role in the process of colorectal cancer liver metastasis. This study enhances our understanding of the genetic alterations and transcriptional regulation that drive the metastatic process, but also provides the methodology to guide the studies on other metastatic cancers.

Indexed as

CDX2 Transcription FactorColorectal NeoplasmsDatabases, GeneticE2F4 Transcription FactorElectron Transport Complex IVGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKininogensLiver NeoplasmsMicroRNAsProtein Interaction MapsRNA, Long NoncodingSurvival RateCDX2 protein, humanCDX2 Transcription FactorCOX5B protein, humanE2F4 protein, humanE2F4 Transcription FactorElectron Transport Complex IVKininogensKNG1 protein, humanMicroRNAsRNA, Long Noncoding

Identifiers

PMID28628609
PMCPMC5476238
OpenAlexW2669306258

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.