Evidence map›Paper›PMID 29755432›Full record

ArticleFrontiers in microbiology2018

Murine Endogenous Retroviruses Are Detectable in Patient-Derived Xenografts but Not in Patient-Individual Cell Lines of Human Colorectal Cancer.

Stephanie Bock, Christina S Mullins, Ernst Klar, Philippe Pérot, Claudia Maletzki, Michael Linnebacher

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. 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
1.4field-weighted citation impact, top 15% 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. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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 2 countries.

Stephanie BockDepartment of General Surgery, Molecular Oncology and Immunotherapy, University Medicine Rostock, Rostock, Germany.
Christina S MullinsDepartment of General Surgery, Molecular Oncology and Immunotherapy, University Medicine Rostock, Rostock, Germany.
Ernst KlarDepartment of General Surgery, Molecular Oncology and Immunotherapy, University Medicine Rostock, Rostock, Germany.
Philippe PérotINSERM U1117, Biology of Infection Unit, Laboratory of Pathogen Discovery, Institut Pasteur, Paris, France.
Claudia MaletzkiDepartment of General Surgery, Molecular Oncology and Immunotherapy, University Medicine Rostock, Rostock, Germany.
Michael LinnebacherDepartment of General Surgery, Molecular Oncology and Immunotherapy, University Medicine Rostock, Rostock, Germany.
University of Rostock · DEBiology of Infection · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endogenous retroviruses are remnants of retroviral infections. In contrast to their human counterparts, murine endogenous retroviruses (mERV) still can synthesize infectious particles and retrotranspose. Xenotransplanted human cells have occasionally been described to be mERV infected. With genetic engineered mice and patient-derived xenografts (PDXs) on the rise as eminent research tools, we here systematically investigated, if different tumor models harbor mERV infections. Relevant mERV candidates were first preselected by next generation sequencing (NGS) analysis of spontaneous lymphomas triggered by colorectal cancer (CRC) PDX tissue. Two primer systems were designed for each of these candidates (AblMLV, EcoMLV, EndoPP, MLV, and preXMRV) and implemented in an quantitative real-time (RT-qPCR) screen using murine tissues (

Indexed as

CDXcolorectal cancerexpressionmERVPDXPDX-derived cell lines

Identifiers

PMID29755432
PMCPMC5932414
OpenAlexW2800767156

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.