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Interrelationship and expression profiling of cyclooxygenase and angiogenic factors in Indian patients with multiple myeloma

Overview of attention for article published in Annals of Hematology, September 2012
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Title
Interrelationship and expression profiling of cyclooxygenase and angiogenic factors in Indian patients with multiple myeloma
Published in
Annals of Hematology, September 2012
DOI 10.1007/s00277-012-1572-5
Pubmed ID
Authors

Rehan Khan, Manoj Sharma, Lalit Kumar, Syed Akhtar Husain, Alpana Sharma

Abstract

Multiple myeloma (MM) is classically illustrated by a desynchronized cytokine system with rise in inflammatory cytokines. There are recent reports which emphasized the potential role of angiogenesis in the development of MM. Role of cyclooxygenase 2 (COX-2) is well documented in the pathogenesis of solid tumors, but little is known about its occurrence and function in hematologic neoplasms. Involvement of neoangiogenesis is reported in the progression of MM, and angiopoietins probably contribute to this progression by enhancing neovascularization. Circulatory and mRNA levels of angiogenic factors and cyclooxygenase were determined in 125 subjects (75 MM patients and 50 healthy controls) by using enzyme-linked immunosorbent assay and quantitative PCR. We observed significant increase for angiogenic factors (Ang-1, Ang-2, hepatocyte growth factor, and vascular endothelial growth factor) and cyclooxygenase at circulatory level, as well as at mRNA level, as compared to healthy controls except insignificant increase for Ang-1 at circulatory level. We have also observed the significant positive correlation of all angiogenic factors with cyclooxygenase. The strong association found between angiogenic factors and COX-2 in this study may lead to the development of combination therapeutic strategy to treat MM. Therefore, targeting COX-2 by using its effective inhibitors demonstrating antiangiogenic and antitumor effects could be used as a new therapeutic approach for treatment of MM.

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Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Other 2 12%
Student > Ph. D. Student 2 12%
Professor > Associate Professor 2 12%
Lecturer > Senior Lecturer 1 6%
Other 1 6%
Unknown 6 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 18%
Agricultural and Biological Sciences 2 12%
Medicine and Dentistry 2 12%
Computer Science 1 6%
Chemistry 1 6%
Other 0 0%
Unknown 8 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2012.
All research outputs
#17,665,425
of 22,678,224 outputs
Outputs from Annals of Hematology
#1,349
of 2,159 outputs
Outputs of similar age
#123,493
of 168,451 outputs
Outputs of similar age from Annals of Hematology
#17
of 23 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,159 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.