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Predictive values of Notch signalling in renal carcinoma

Overview of attention for article published in Archives of Medical Science, January 2017
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Mentioned by

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3 tweeters
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1 Facebook page

Citations

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14 Dimensions

Readers on

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8 Mendeley
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Title
Predictive values of Notch signalling in renal carcinoma
Published in
Archives of Medical Science, January 2017
DOI 10.5114/aoms.2017.65649
Pubmed ID
Authors

Dorota Jędroszka, Magdalena Orzechowska, Andrzej K. Bednarek

Abstract

Notch signalling, an evolutionarily conserved mechanism of cellular differentiation and tissue remodelling, is frequently deregulated in several human malignancies, including renal cell carcinoma (RCC). However, the prognostic value of individual Notch pathway members in RC subtypes remains indefinable. The present study investigates whether the differential expression of Notch members has a contrary effect on disease-free survival (DFS) in clear cell renal cell carcinoma (KIRC), papillary cell renal cell carcinoma (KIRP) and chromophobe renal cell carcinoma (KICH) patients. The predictive value of 19 Notch members was evaluated in KICH, KIRC and KIRP patient cohorts from The Cancer Genome Atlas (TCGA). Results in the form of Kaplan-Meier survival plots with the p-value calculated (log-rank test, p < 0.05) enabled the patients to be split into favourable/unfavourable prognosis groups regarding expression of Notch members. More specifically, lowered expression of ADAM17 correlated with good prognosis in KICH, KIRC and KIRP (HR = 7.79, p = 0.03; HR = 3.98, p = 0.051; HR = 11.24, p < 0.001, respectively). Additionally, HES4 differentiated KICH and KIRC, as its higher expression correlated with good prognosis in KICH and favourable lowered expression in KIRC (HR = 0.11, p = 0.015; HR = 2.42, p < 0.001, respectively). Our analysis could be valuable for better understanding of the molecular mechanism of renal carcinoma. The expression of Notch pathway members could be a useful biomarker for predicting favourable/unfavourable prognosis in patients with RCC.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Master 2 25%
Lecturer > Senior Lecturer 1 13%
Student > Doctoral Student 1 13%
Researcher 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Medicine and Dentistry 3 38%
Agricultural and Biological Sciences 1 13%
Psychology 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Unknown 2 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 November 2017.
All research outputs
#7,047,853
of 12,487,163 outputs
Outputs from Archives of Medical Science
#178
of 693 outputs
Outputs of similar age
#119,268
of 251,147 outputs
Outputs of similar age from Archives of Medical Science
#1
of 12 outputs
Altmetric has tracked 12,487,163 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 693 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 251,147 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.