Evidence map›Paper›PMID 32842712›Full record

ArticleCancers2020

An Integrative Omics Approach Reveals Involvement of

Daniela Gerovska, Gorka Larrinaga, Jon Danel Solano-Iturri, Joana Márquez, Patricia García Gallastegi, Abdel-Majid Khatib, Gereon Poschmann, Kai Stühler, María Armesto, Charles H Lawrie and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

13 citing papers in PubMed, 22 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

12 authors at 5 institutions in 4 countries.

Daniela GerovskaComputational Biology and Systems Biomedicine Group, Biodonostia Health Research Institute, Calle Doctor Beguiristain s/n, 20014 San Sebastián, Spain.
Gorka LarrinagaDepartment of Nursing I, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), 48940 Leioa, Bizkaia, Spain.
Jon Danel Solano-IturriBioCruces Health Research Institute, 48903 Barakaldo, Bizkaia, Spain.
Joana MárquezDepartment of Cell Biology and Histology, Faculty of Medicine and Nursing, University of Basque Country (UPV/EHU), 48940 Leioa, Spain.
Patricia García GallastegiDepartment of Cell Biology and Histology, Faculty of Medicine and Nursing, University of Basque Country (UPV/EHU), 48940 Leioa, Spain.
Abdel-Majid KhatibUniversity of Bordeaux, Allée Geoffroy St Hilaire, 33615 Pessac, France; INSERM, LAMC, UMR 1029, Allée Geoffroy St Hilaire, 33615 Pessac, France.
Gereon PoschmannInstitute of Molecular Medicine, Proteome Research, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
Kai StühlerInstitute of Molecular Medicine, Proteome Research, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
María ArmestoMolecular Oncology Group, Biodonostia Health Research Institute, 20014 San Sebastián, Spain.
Charles H LawrieMolecular Oncology Group, Biodonostia Health Research Institute, 20014 San Sebastián, Spain.ORCID 0000-0002-8882-1131
Iker BadiolaDepartment of Cell Biology and Histology, Faculty of Medicine and Nursing, University of Basque Country (UPV/EHU), 48940 Leioa, Spain.ORCID 0000-0003-2392-2537
Marcos J Araúzo-BravoComputational Biology and Systems Biomedicine Group, Biodonostia Health Research Institute, Calle Doctor Beguiristain s/n, 20014 San Sebastián, Spain.
University of the Basque Country · ESBiogipuzkoa Health Research Institute · ESHeinrich Heine University Düsseldorf · DEIkerbasque · ESUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background & Aims: The roles of different cells in the tumor microenvironment (TME) are critical to the metastatic process. The phenotypic transformation of the liver cells is one of the most important stages of the hepatic metastasis progression of colorectal cancer (CRC). Our aim was to identify the major molecules (i.e., genes, miRNAs and proteins) involved in this process. (2) Methods: We isolated and performed whole-genome analysis of gene, miRNA, and protein expression in three types of liver cells (Ito cells, Kupffer cells, and liver sinusoidal endothelial cells) from the TME of a murine model of CRC liver metastasis. We selected the statistically significant differentially expressed molecules using the Student's t-test with Benjamini-Hochberg correction and performed functional statistically-significant enrichment analysis of differentially expressed molecules with hypergeometric distribution using the curated collection of molecular signatures, MSigDB. To build a gene-miRNA-protein network centered in Brca1, we developed a software package (miRDiana) that collects miRNA targets from the union of the TargetScan, MicroCosm, mirTarBase, and miRWalk databases. This was used to search for miRNAs targeting

Indexed as

BRCA1BRCA1-associated genome surveillance complexcolorectal cancerliver metastasismiRNAsproteomicstissue microarraytranscriptomicstumor microenvironment

Identifiers

PMID32842712
PMCPMC7565528
OpenAlexW3080508138

What OpenQuestion holds

Textmetadata
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.