Evidence map›Paper›PMID 28008374›Full record

ArticleJournal of bone oncology2016

Comparative proteomics analysis of human osteosarcoma by 2D DIGE with MALDI-TOF/TOF MS.

Guoxiang Wang, Zhengyao Zhang, Maoguang Yang, Bo Xu, Qi Gao, Xiaoyu Yang

Abstract read
In one paragraph

Article in Journal of bone oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Guoxiang WangDepartment of Orthopedics, The Second Hospital of Jilin University, ZiQiang Street,130041 ChangChun, China; Department of Orthopedics, The First Hospital of Jilin University, XinMin Street,130041 ChangChun, China.
Zhengyao ZhangSchool of Life Science and Medicine, Dalian University of Technology, DaGong Road, 124221 PanJin, China.
Maoguang YangDepartment of Endocrinology, The Second Hospital of Jilin University, ZiQiang Street,130041 ChangChun, China.
Bo XuDepartment of Biology, Elementary Education College ChangChun Normal University, ChangJi Road, 130041 ChangChun, China.
Qi GaoDepartment of Pharmaceutical Chemistry, School of Pharmacy, Jilin University, FuJi Road, 130041 ChangChun, China; Department of Medical Administration, ChangChun Central Hospital, RenMin Street, 130041 ChangChun, China.
Xiaoyu YangDepartment of Orthopedics, The Second Hospital of Jilin University, ZiQiang Street,130041 ChangChun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is the most common primary malignant tumor of bone and the third most common cancer in childhood and adolescence. However, controversy concerning the ideal combination of chemotherapy agents ensued throughout the last quarter of the 20th century because of conflicting and often nonrandomized data. Collaborative efforts to increase understanding of the biology of osteosarcoma and the use of preclinical models to test novel protein targets will be critical to identify the path toward improving outcomes for patients. We attempted to identify potential protein markers or therapy targets of osteosarcoma and give a glance at tumorigenesis of osteosarcoma. A sensitive and accurate method was employed in comparative proteomic analysis between benign tumor and osteosarcoma. Tumor tissues obtained by open biopsy before induction chemotherapy were investigated With 2D DIGE and MALDI-TOF/TOF MS, 22 differentially expressed proteins were identified after database searching, including 8 up-regulated and 14 down-regulated proteins. We also validated the expression levels of interesting proteins(have higher Ratios(tumor/normal)) by Western blotting assay. Annotating by bioinformatic tools, we found structural and signal transduction associated proteins were in large percentage among altered level proteins. In particular, some low abundant proteins involving translation and transcription, such as EEF2(Elongation Factor 2), LUM Lumican 23 kDa Protein) and GTF2A2(Transcription Initiation Factor Iia Gamma Chain.), were firstly reported by our study comparing to previous observations. Our findings suggest that these differential proteins may be potential biomarkers for diagnosis or molecules for understanding of osteosarcoma tumorigenesis, coming with biologic, preclinical, and clinical trial efforts being described to improve outcomes for patients.

Indexed as

Benign TumorMALDI-TOF/TOF MSOsteosarcomaProteomics

Identifiers

PMID28008374
PMCPMC5154703

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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.