Evidence map›Paper›PMID 26203049›Full record

ArticleOncotarget2015

Increased cathepsin D protein expression is a biomarker for osteosarcomas, pulmonary metastases and other bone malignancies.

Timo Gemoll, Franziska Epping, Lisa Heinrich, Britta Fritzsche, Uwe J Roblick, Silke Szymczak, Sonja Hartwig, Reinhard Depping, Hans-Peter Bruch, Christoph Thorns and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 56 citations in OpenAlex.

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  8. Inhibitors of EYA3 Protein in Ewing Sarcoma.Asian Pacific journal of cancer prevention : APJCP · 2022
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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

13 authors at 3 institutions in 1 country.

Timo GemollSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany.
Franziska EppingSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany.
Lisa HeinrichSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany.
Britta FritzscheSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany.
Uwe J RoblickSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany.
Silke SzymczakInstitute of Medical Informatics and Statistics, University Medical Center Schleswig-Holstein, Kiel, Germany.
Sonja HartwigInstitute of Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DZD), Düsseldorf, Germany.
Reinhard DeppingInstitute for Physiology, University of Lübeck, Lübeck, Germany.
Hans-Peter BruchSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany.
Christoph ThornsInstitute of Pathology, University Medical Center Schleswig-Holstein, Lübeck, Germany.
Stefan LehrInstitute of Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DZD), Düsseldorf, Germany.
Andreas PaechDepartment of Orthopaedics and Traumatology, University Medical Center Schleswig Holstein, Lübeck, Germany.
Jens K HabermannSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany.
University of Lübeck · DEDeutsches Diabetes-Zentrum e.V. · DEUniversity Hospital Schleswig-Holstein · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer proteomics provide a powerful approach to identify biomarkers for personalized medicine. Particularly, biomarkers for early detection, prognosis and therapeutic intervention of bone cancers, especially osteosarcomas, are missing. Initially, we compared two-dimensional gel electrophoresis (2-DE)-based protein expression pattern between cell lines of fetal osteoblasts, osteosarcoma and pulmonary metastasis derived from osteosarcoma. Two independent statistical analyses by means of PDQuest® and SameSpot® software revealed a common set of 34 differentially expressed protein spots (p < 0.05). 17 Proteins were identified by mass spectrometry and subjected to Ingenuity Pathway Analysis resulting in one high-ranked network associated with Gene Expression, Cell Death and Cell-To-Cell Signaling and Interaction. Ran/TC4-binding protein (RANBP1) and Cathepsin D (CTSD) were further validated by Western Blot in cell lines while the latter one showed higher expression differences also in cytospins and in clinical samples using tissue microarrays comprising osteosarcomas, metastases, other bone malignancies, and control tissues. The results show that protein expression patterns distinguish fetal osteoblasts from osteosarcomas, pulmonary metastases, and other bone diseases with relevant sensitivities between 55.56% and 100% at ≥87.50% specificity. Particularly, CTSD was validated in clinical material and could thus serve as a new biomarker for bone malignancies and potentially guide individualized treatment regimes.

Indexed as

Biomarkers, TumorBone NeoplasmsCathepsin DCell Line, TumorElectrophoresis, Gel, Two-DimensionalGene Expression ProfilingHumansLung NeoplasmsMass SpectrometryNeoplasm ProteinsNuclear ProteinsOsteoblastsOsteosarcomaProteomicsTissue Array AnalysisBiomarkers, TumorCathepsin DCTSD protein, humanNeoplasm ProteinsNuclear Proteinsran-binding protein 1bone malignanciesCTSDmass spectrometryosteosarcomatwo-dimensional gel electrophoresis

Identifiers

PMID26203049
PMCPMC4599286
OpenAlexW1766094277

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.