Evidence map›Paper›PMID 28525976›Full record

ArticleBMC cancer2017

The adaptation of colorectal cancer cells when forming metastases in the liver: expression of associated genes and pathways in a mouse model.

Derya Bocuk, Alexander Wolff, Petra Krause, Gabriela Salinas, Annalen Bleckmann, Christina Hackl, Tim Beissbarth, Sarah Koenig

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. 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

8 authors at 3 institutions in 1 country.

Derya BocukDepartment of General, Visceral and Paediatric Surgery, University Medical Centre, Georg - August - University Goettingen, Göttingen, Germany.
Alexander WolffStatistical Bioinformatics, Department of Medical Statistics, University Medical Centre, Georg - August - University Goettingen, Göttingen, Germany.
Petra KrauseDepartment of General, Visceral and Paediatric Surgery, University Medical Centre, Georg - August - University Goettingen, Göttingen, Germany.
Gabriela SalinasMicroarray and Deep-Sequencing Core Facility, Institute for Developmental Biochemistry, University Medical Centre, Georg - August - University Goettingen, Göttingen, Germany.
Annalen BleckmannStatistical Bioinformatics, Department of Medical Statistics, University Medical Centre, Georg - August - University Goettingen, Göttingen, Germany.
Christina HacklDepartment of Surgery, University Hospital Regensburg, Regensburg, Germany.
Tim BeissbarthStatistical Bioinformatics, Department of Medical Statistics, University Medical Centre, Georg - August - University Goettingen, Göttingen, Germany.
Sarah KoenigDepartment of General, Visceral and Paediatric Surgery, University Medical Centre, Georg - August - University Goettingen, Göttingen, Germany. koenig_sarah@ukw.de.
University of Göttingen · DEUniversitätsklinikum Würzburg · DEUniversity Hospital Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the second leading cause of cancer-related death in men and women. Systemic disease with metastatic spread to distant sites such as the liver reduces the survival rate considerably. The aim of this study was to investigate the changes in gene expression that occur on invasion and expansion of CRC cells when forming metastases in the liver.

methodsThe livers of syngeneic C57BL/6NCrl mice were inoculated with 1 million CRC cells (CMT-93) via the portal vein, leading to the stable formation of metastases within 4 weeks. RNA sequencing performed on the Illumina platform was employed to evaluate the expression profiles of more than 14,000 genes, utilizing the RNA of the cell line cells and liver metastases as well as from corresponding tumour-free liver.

resultsA total of 3329 differentially expressed genes (DEGs) were identified when cultured CMT-93 cells propagated as metastases in the liver. Hierarchical clustering on heat maps demonstrated the clear changes in gene expression of CMT-93 cells on propagation in the liver. Gene ontology analysis determined inflammation, angiogenesis, and signal transduction as the top three relevant biological processes involved. Using a selection list, matrix metallopeptidases 2, 7, and 9, wnt inhibitory factor, and chemokine receptor 4 were the top five significantly dysregulated genes.

conclusionBioinformatics assists in elucidating the factors and processes involved in CRC liver metastasis. Our results support the notion of an invasion-metastasis cascade involving CRC cells forming metastases on successful invasion and expansion within the liver. Furthermore, we identified a gene expression signature correlating strongly with invasiveness and migration. Our findings may guide future research on novel therapeutic targets in the treatment of CRC liver metastasis.

Indexed as

AnimalsCell MovementColorectal NeoplasmsDisease Models, AnimalFemaleGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansLiver NeoplasmsMaleMiceNeoplasm InvasivenessNeoplasm MetastasisNeoplasm ProteinsPortal VeinSignal TransductionNeoplasm ProteinsColorectal cancer (CRC)Gene expressionLiver metastasisRNA-sequencing

Identifiers

PMID28525976
PMCPMC5437520
OpenAlexW2616574676

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.