Evidence map›Paper›PMID 20340016›Full record

ArticleInternational orthopaedics2011

Microarray analysis identifies distinct gene expression profiles associated with histological subtype in human osteosarcoma.

Bernd Kubista, Florian Klinglmueller, Martin Bilban, Martin Pfeiffer, Richard Lass, Alexander Giurea, Phillipp T Funovics, Cyril Toma, Martin Dominkus, Rainer Kotz and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in International orthopaedics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Genetic Variant ofTechnology in cancer research & treatment · 2019
    Article
  8. Human Metaplastic Breast Carcinoma and Decorin.Cancer microenvironment : official journal of the International Cancer Microenvironment Society · 2017
    Article
  9. Low expression of fibulin-1 correlates with unfavorable prognosis in gastric cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Spinal osteosarcoma.Clinical Medicine Insights. Oncology · 2013
    Review
  15. Pivotal regulatory network and genes in osteosarcoma.Archives of medical science : AMS · 2013
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Targeting the osteosarcoma cancer stem cell.Journal of orthopaedic surgery and research · 2010
    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

14 authors at 3 institutions in 1 country.

Bernd KubistaDepartment of Orthopedics, Medical University of Vienna, Vienna, Austria. bernd.kubista@meduniwien.ac.at
Florian Klinglmueller
Martin Bilban
Martin Pfeiffer
Richard Lass
Alexander Giurea
Phillipp T Funovics
Cyril Toma
Martin Dominkus
Rainer Kotz
Theresia Thalhammer
Klemens Trieb
Teresa Zettl
Christian F Singer
Medical University of Vienna · ATBarmherzige Schwestern vom heiligen Kreuz · ATLudwig Boltzmann Institute for Experimental and Clinical Traumatology · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma is the most common primary malignant bone tumour. Currently osteosarcoma classification is based on histological appearance. It was the aim of this study to use a more systematic approach to osteosarcoma classification based on gene expression analysis and to identify subtype specific differentially expressed genes. We analysed the global gene expression profiles of ten osteosarcoma samples using Affymetrix U133A arrays (five osteoblastic and five non-osteoblastic osteosarcoma patients). Differential gene expression analysis yielded 75 genes up-regulated and 97 genes down-regulated in osteoblastic versus non-osteoblastic osteosarcoma samples, respectively. These included genes involved in cell growth, chemotherapy resistance, angiogenesis, steroid- and neuropeptide hormone receptor activity, acute-phase response and serotonin receptor activity and members of the Wnt/ß-catenin pathway and many others. Furthermore, we validated the highly differential expression of six genes including angiopoietin 1, IGFBP3, ferredoxin 1, BMP, decorin, and fibulin 1 in osteoblastic osteosarcoma relative to non-osteoblastic osteosarcoma. Our results show the utility of gene expression analysis to study osteosarcoma subtypes, and we identified several genes that may play a role as potential therapeutic targets in the future.

Indexed as

Bone NeoplasmsDown-RegulationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansOligonucleotide Array Sequence AnalysisOsteosarcomaRNA, MessengerUp-RegulationRNA, Messenger

Identifiers

PMID20340016
PMCPMC3047650
OpenAlexW2170804379

What OpenQuestion holds

Textmetadata
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.