Evidence map›Paper›PMID 31565104›Full record

ArticleDisease markers2019

Proteomic Comparison of Malignant Human Germ Cell Tumor Cell Lines.

Felix Bremmer, Hanibal Bohnenberger, Stefan Küffer, Thomas Oellerich, Hubert Serve, Henning Urlaub, Arne Strauss, Yasmine Maatoug, Carl Ludwig Behnes, Christoph Oing and 4 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-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

10 citing papers in PubMed, 15 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

14 authors at 5 institutions in 2 countries.

Felix BremmerInstitute of Pathology, University Medical Center, Robert-Koch-Str. 40, 37075 Göttingen, Germany.ORCID https://orcid.org/0000-0003-0367-6527
Hanibal BohnenbergerInstitute of Pathology, University Medical Center, Robert-Koch-Str. 40, 37075 Göttingen, Germany.ORCID https://orcid.org/0000-0003-1038-1030
Stefan KüfferInstitute of Pathology, University Medical Center, Robert-Koch-Str. 40, 37075 Göttingen, Germany.
Thomas OellerichDepartment of Medicine II, Hematology/Oncology, Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.
Hubert ServeDepartment of Medicine II, Hematology/Oncology, Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.
Henning UrlaubBioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany.
Arne StraussDepartment of Urology, University Medical Center, Robert-Koch-Str. 40, 37075 Göttingen, Germany.
Yasmine MaatougInstitute of Pathology, University Medical Center, Robert-Koch-Str. 40, 37075 Göttingen, Germany.
Carl Ludwig BehnesInstitute of Pathology, University Medical Center, Robert-Koch-Str. 40, 37075 Göttingen, Germany.
Christoph OingDepartment of Oncology, Hematology and Bone Marrow Transplantation with Section of Pneumology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany.
Heinz Joachim RadzunInstitute of Pathology, University Medical Center, Robert-Koch-Str. 40, 37075 Göttingen, Germany.
Philipp StröbelInstitute of Pathology, University Medical Center, Robert-Koch-Str. 40, 37075 Göttingen, Germany.
Stefan BalabanovDivision of Hematology, University Hospital Zurich, Rämistrasse 100, 8091 Zürich, Switzerland.
Friedemann HoneckerDepartment of Oncology, Hematology and Bone Marrow Transplantation with Section of Pneumology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany.ORCID https://orcid.org/0000-0002-3700-3577
Goethe University Frankfurt · DEUniversität Hamburg · DEMax Planck Institute for Biophysical Chemistry · DEUniversity Hospital of Zurich · CHUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant germ cell tumors (GCT) are the most common malignant tumors in young men between 18 and 40 years. The correct identification of histological subtypes, in difficult cases supported by immunohistochemistry, is essential for therapeutic management. Furthermore, biomarkers may help to understand pathophysiological processes in these tumor types. Two GCT cell lines, TCam-2 with seminoma-like characteristics, and NTERA-2, an embryonal carcinoma-like cell line, were compared by a quantitative proteomic approach using high-resolution mass spectrometry (MS) in combination with stable isotope labelling by amino acid in cell culture (SILAC). We were able to identify 4856 proteins and quantify the expression of 3936. 347 were significantly differentially expressed between the two cell lines. For further validation, CD81, CBX-3, PHF6, and ENSA were analyzed by western blot analysis. The results confirmed the MS results. Immunohistochemical analysis on 59 formalin-fixed and paraffin-embedded (FFPE) normal and GCT tissue samples (normal testis, GCNIS, seminomas, and embryonal carcinomas) of these proteins demonstrated the ability to distinguish different GCT subtypes, especially seminomas and embryonal carcinomas. In addition, siRNA-mediated knockdown of these proteins resulted in an antiproliferative effect in TCam-2, NTERA-2, and an additional embryonal carcinoma-like cell line, NCCIT. In summary, this study represents a proteomic resource for the discrimination of malignant germ cell tumor subtypes and the observed antiproliferative effect after knockdown of selected proteins paves the way for the identification of new potential drug targets.

Indexed as

ProteomeCell Culture TechniquesCell Line, TumorHumansMaleNeoplasms, Germ Cell and EmbryonalTesticular NeoplasmsTestisProteome

Identifiers

PMID31565104
PMCPMC6745167
OpenAlexW2971699123

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.