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Molecular mechanisms of ovarian carcinoma metastasis: Key genes and regulatory microRNAs

Overview of attention for article published in Biochemistry, May 2017
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Title
Molecular mechanisms of ovarian carcinoma metastasis: Key genes and regulatory microRNAs
Published in
Biochemistry, May 2017
DOI 10.1134/s0006297917050017
Pubmed ID
Authors

E. A. Braga, M. V. Fridman, N. E. Kushlinskii

Abstract

Metastasis of primary tumors progresses stepwise - from change in biochemistry, morphology, and migratory patterns of tumor cells to the emergence of receptors on their surface that facilitate directional migration to target organs followed by the formation of a specific microenvironment in a target organ that helps attachment and survival of metastatic cells. A set of specific genes and signaling pathways mediate this process under control of microRNA. The molecular mechanisms underlying biological processes associated with tumor metastasis are reviewed in this publication using ovarian cancer, which exhibits high metastatic potential, as an example. Information and data on the genes and regulatory microRNAs involved in the formation of cancer stem cells, epithelial-mesenchymal transition, reducing focal adhesion, degradation of extracellular matrix, increasing migration activity of cancer cells, formation of spheroids, apoptosis, autophagy, angiogenesis, formation of metastases, and development of ascites are presented. Clusters of microRNAs (miR-145, miR-31, miR-506, miR-101) most essential for metastasis of ovarian cancer including the families of microRNAs (miR-200, miR-214, miR-25) with dual role, which is different in different histological types of ovarian cancer, are discussed in detail in a section of the review.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 3 13%
Student > Bachelor 3 13%
Researcher 2 9%
Lecturer 1 4%
Other 4 17%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 30%
Agricultural and Biological Sciences 5 22%
Nursing and Health Professions 2 9%
Chemical Engineering 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 7 30%
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 12 June 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from Biochemistry
#20,694
of 22,290 outputs
Outputs of similar age
#251,074
of 326,293 outputs
Outputs of similar age from Biochemistry
#70
of 115 outputs
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So far Altmetric has tracked 22,290 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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