Evidence map›Paper›PMID 30603057›Full record

ArticleGenes & cancer2018

Pancreatic carcinoma cells colonizing the liver modulate the expression of their extracellular matrix genes.

Khamael M K Al-Taee, Michael Zepp, Irina Berger, Martin R Berger, Hassan Adwan

Abstract read
In one paragraph

Article in Genes & cancer, 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Ryanodine receptor 1-mediated CaJournal of experimental & clinical cancer research : CR · 2022
    Article
  4. 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

5 authors.

Khamael M K Al-TaeeToxicology and Chemotherapy Unit, German Cancer Research Center, Heidelberg, Germany.
Michael ZeppToxicology and Chemotherapy Unit, German Cancer Research Center, Heidelberg, Germany.
Irina BergerInstitute of Pathology, Klinikum Kassel, Mönchebergstraße, Kassel.
Martin R BergerToxicology and Chemotherapy Unit, German Cancer Research Center, Heidelberg, Germany.
Hassan AdwanToxicology and Chemotherapy Unit, German Cancer Research Center, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver is the main target of pancreatic ductal adenocarcinoma (PDAC) metastasis. Here, a rat model was used for analysing gene expression modulations during liver colonization. ASML PDAC cells were injected to isogenic rats and re-isolated at various stages of liver colonization for RNA isolation or re-cultivation. Microarrays were used for analysing mRNA and miRNA profiles of expres-sion. The results were partially confirmed by (q) RT-PCR and western blot. Selected genes were knocked down by siRNA transfection and the resulting cell behaviour was analysed. The ratio of up- and down regulated genes decreased from 20:1 (early stage) to 1.2:1 (terminal stage). Activation of cancer relevant gene categories varied between stages of liver colonization, with a nadir in the intermediate stage. The cells' environment triggered up to hundredfold changed expression for collagens, matrix metalloproteinases and chemokines. These modulations in mRNA expression were related to respective changes at miRNA levels. Gene expression knockdown of Mmp2 and Ccl20, which were highly modulated in vivo, was correlated with reduced prolif-eration and migration in vitro. Thus, target genes and temporal alterations in expression were identified, which can serve as basis for future therapeutic or diagnostic purposes.

Indexed as

ASML cell lineextracellular matrixliver metastasismRNA and miRNA expressionpancreatic ductal adenocarcinoma

Identifiers

PMID30603057
PMCPMC6305105

What OpenQuestion holds

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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.