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CDKN2A/P16INK4A variants association with breast cancer and their in-silico analysis

Overview of attention for article published in Breast Cancer, July 2018
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Title
CDKN2A/P16INK4A variants association with breast cancer and their in-silico analysis
Published in
Breast Cancer, July 2018
DOI 10.1007/s12282-018-0894-0
Pubmed ID
Authors

Ayesha Aftab, Shaheen Shahzad, Hafiz Muhammad Jafar Hussain, Ranjha Khan, Samra Irum, Sobia Tabassum

Abstract

CDKN2A was first identified as melanoma predisposition tumour suppressor gene and has been successively studied. The previous researches have not established any noteworthy association with breast cancer. Therefore, through extensive literature search and in-silico analysis, we have tried to focus on the role of CDKN2A in breast cancer. CDKN2A variants in breast cancer were collected from different databases. The overall percentage of variants (approximately 5.8%) and their incidence frequency in breast cancer cases were found to be very low as compared to the number of samples screened in different studies. Exon 2 was identified as the major region of alternations. Approximately 42.8% were entire gene deletions, while 24.2% were missense mutations. These variants cannot be ignored because of their pathogenic effects as interpreted by the bioinformatics tools used in the present study. Earlier studies have shown that CDKN2A excludes the predisposition of germline variants, but interestingly shares common breast cancer germline variants with other carcinomas. Most of the data have revealed this gene as rarely mutated or deleted in breast cancer. However, few association studies have shown that in addition to being a 'multiple' tumour suppressor gene, it is mutated/deleted more in breast cancer cell lines as compared to breast cancer tissues or blood samples; thus, this gene cannot be neglected as a breast cancer candidate gene. The deletion/malfunctioning of CDKN2A in different tumours including breast cancer has recently led to the discovery of many clinical CDK inhibitors. Furthermore, these collected genetic variants will also be helpful in developing diagnostic, preventive, and treatment approaches for patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 19%
Unspecified 3 9%
Student > Master 3 9%
Other 2 6%
Student > Bachelor 2 6%
Other 5 16%
Unknown 11 34%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Biochemistry, Genetics and Molecular Biology 5 16%
Unspecified 3 9%
Agricultural and Biological Sciences 2 6%
Neuroscience 2 6%
Other 2 6%
Unknown 12 38%
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 27 July 2018.
All research outputs
#18,810,041
of 23,975,976 outputs
Outputs from Breast Cancer
#353
of 614 outputs
Outputs of similar age
#242,517
of 333,056 outputs
Outputs of similar age from Breast Cancer
#7
of 11 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.