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MicroRNA‑mRNA integrated analysis based on a case of well‑differentiated thyroid cancer with both metastasis and metastatic recurrence

Overview of attention for article published in Oncology Reports, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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2 tweeters

Citations

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1 Dimensions

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7 Mendeley
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Title
MicroRNA‑mRNA integrated analysis based on a case of well‑differentiated thyroid cancer with both metastasis and metastatic recurrence
Published in
Oncology Reports, September 2018
DOI 10.3892/or.2018.6739
Pubmed ID
Authors

Yun‑Jie Zhang, Yu‑Shui Ma, Qing Xia, Fei Yu, Zhong‑Wei Lv, Cheng‑You Jia, Xiao‑Xin Jiang, Liang Zhang, Yun‑Chao Shao, Wen‑Ting Xie, Gai‑Xia Lu, Xia‑Qing Yv, Peng Zhong, Da Fu, Xiao‑Feng Wang

Abstract

The incidence of well‑differentiated thyroid cancer (WDTC) is rapidly increasing. Poor survival follows distant metastasis (DM) and recurrence. In the present study, we aimed to analyze the expression alterations in different stages of WDTC and the regulatory mechanism of DM and the recurrence of DM. A male patient diagnosed with follicular thyroid cancer and distant metastasis in the eleventh thoracic vertebrae received total thyroidectomy and the removal of a metastatic lesion. A local relapse was found in the vertebrae after four‑time iodine‑131 treatment. We performed mRNA and microRNA microarray on the paracancerous, cancerous, metastatic and metastatic recurrent tissue. In combination with the data of The Cancer Genome Atlas (TCGA), we used bioinformatics approaches to analyze the common alterations and microRNA‑mRNA interactions among the processes of tumorigenesis and metastasis. Metastatic lesions and recurrent lesions were used to investigate the molecular mechanism of tumor evolution and recurrence in this case. A total of four mRNAs and two microRNAs were newly found to be related to patient survival in WDTC. The microRNA‑mRNA interactions were predicted for the overlapped mRNAs and microRNAs. Lineage deregulation of genes, such as C‑X‑C motif chemokine receptor 4 (CXCR4) and thyroglobulin (TG) were found from the tumorigenic stage to the metastatic stage. The ribosome pathway was highly enriched in the bone metastasis compared with the cancerous tissue. The downstreaming effects of p53 were impaired in the recurrent lesion due to deregulation of several functional genes. The integrated analysis with TCGA data indicated several prognostic markers and regulatory networks for potential treatment. Our results also provided possible molecular mechanisms in which the ribosome and p53 pathways may respectively contribute to bone metastasis and local recurrence of metastasis.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 1 14%
Student > Bachelor 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Medicine and Dentistry 2 29%
Computer Science 1 14%
Unknown 2 29%

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 04 October 2018.
All research outputs
#10,822,008
of 13,599,972 outputs
Outputs from Oncology Reports
#933
of 2,215 outputs
Outputs of similar age
#199,078
of 264,555 outputs
Outputs of similar age from Oncology Reports
#6
of 28 outputs
Altmetric has tracked 13,599,972 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,215 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,555 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.