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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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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.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Student > Doctoral Student 1 10%
Lecturer > Senior Lecturer 1 10%
Researcher 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Biochemistry, Genetics and Molecular Biology 1 10%
Psychology 1 10%
Agricultural and Biological Sciences 1 10%
Unknown 4 40%
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 07 November 2017.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Archives of Medical Science
#761
of 1,760 outputs
Outputs of similar age
#269,316
of 424,113 outputs
Outputs of similar age from Archives of Medical Science
#35
of 58 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,760 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 50% 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 424,113 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.