↓ Skip to main content

Clinical significance of frequent somatic mutations detected by high-throughput targeted sequencing in archived colorectal cancer samples

Overview of attention for article published in Journal of Translational Medicine, May 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
68 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Clinical significance of frequent somatic mutations detected by high-throughput targeted sequencing in archived colorectal cancer samples
Published in
Journal of Translational Medicine, May 2016
DOI 10.1186/s12967-016-0878-9
Pubmed ID
Authors

Ashraf Dallol, Abdelbaset Buhmeida, Mahmoud Shaheen Al-Ahwal, Jaudah Al-Maghrabi, Osama Bajouh, Shadi Al-Khayyat, Rania Alam, Atlal Abusanad, Rola Turki, Aisha Elaimi, Hani A. Alhadrami, Mohammed Abuzenadah, Huda Banni, Mohammed H. Al-Qahtani, Adel M. Abuzenadah

Abstract

Colorectal cancer (CRC) is a heterogeneous disease with different molecular characteristics associated with many variables such as the sites from which the tumors originate or the presence or absence of chromosomal instability. Identification of such variables, particularly mutational hotspots, often carries a significant diagnostic and/or prognostic value that could ultimately affect the therapeutic outcome. High-throughput mutational analysis of 99 CRC formalin-fixed and paraffin-embedded (FFPE) cases was performed using the Cancer Hotspots Panel (CHP) v2 on the Ion Torrent™ platform. Correlation with survival and other Clinicopathological parameters was performed using Fisher's exact test and Kaplan-Meier curve analysis. Targeted sequencing lead to the identification of frequent mutations in TP53 (65 %), APC (36 %), KRAS (35 %), PIK3CA (19 %), PTEN (13 %), EGFR (11 %), SMAD4 (11 %), and FBXW7 (7 %). Other genes harbored mutations at lower frequency. EGFR mutations were relatively frequent and significantly associated with young age of onset (p = 0.028). Additionally, EGFR or PIK3CA mutations were a marker for poor disease-specific survival in our cohort (p = 0.009 and p = 0.032, respectively). Interestingly, KRAS or PIK3CA mutations were significantly associated with poor disease-specific survival in cases with wild-type TP53 (p = 0.001 and p = 0.02, respectively). Frequent EGFR mutations in this cohort as well as the differential prognostic potential of KRAS and PIK3CA in the presence or absence of detectable TP53 mutations may serve as novel prognostic tools for CRC in patients from the Kingdom of Saudi Arabia. Such findings could help in the clinical decision-making regarding therapeutic intervention for individual patients and provide better diagnosis or prognosis in this locality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Ph. D. Student 8 12%
Researcher 6 9%
Student > Bachelor 6 9%
Student > Postgraduate 4 6%
Other 12 18%
Unknown 20 29%
Readers by discipline Count As %
Medicine and Dentistry 21 31%
Biochemistry, Genetics and Molecular Biology 12 18%
Agricultural and Biological Sciences 3 4%
Immunology and Microbiology 2 3%
Psychology 2 3%
Other 4 6%
Unknown 24 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 September 2020.
All research outputs
#6,871,213
of 22,867,327 outputs
Outputs from Journal of Translational Medicine
#1,071
of 4,002 outputs
Outputs of similar age
#97,121
of 298,972 outputs
Outputs of similar age from Journal of Translational Medicine
#28
of 99 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 73% 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 298,972 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 67% of its contemporaries.
We're also able to compare this research output to 99 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 71% of its contemporaries.