↓ Skip to main content

Circulating tumor DNA in patients with colorectal adenomas: assessment of detectability and genetic heterogeneity

Overview of attention for article published in Cell Death & Disease, August 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
2 CiteULike
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
Circulating tumor DNA in patients with colorectal adenomas: assessment of detectability and genetic heterogeneity
Published in
Cell Death & Disease, August 2018
DOI 10.1038/s41419-018-0934-x
Pubmed ID
Authors

Ni Ni Moe Myint, Ajay M. Verma, Daniel Fernandez-Garcia, Panchali Sarmah, Patrick S. Tarpey, Saif Sattar Al-Aqbi, Hong Cai, Ricky Trigg, Kevin West, Lynne M. Howells, Anne Thomas, Karen Brown, David S. Guttery, Baljit Singh, Howard J. Pringle, Ultan McDermott, Jacqui A. Shaw, Alessandro Rufini

Abstract

Improving early detection of colorectal cancer (CRC) is a key public health priority as adenomas and stage I cancer can be treated with minimally invasive procedures. Population screening strategies based on detection of occult blood in the feces have contributed to enhance detection rates of localized disease, but new approaches based on genetic analyses able to increase specificity and sensitivity could provide additional advantages compared to current screening methodologies. Recently, circulating cell-free DNA (cfDNA) has received much attention as a cancer biomarker for its ability to monitor the progression of advanced disease, predict tumor recurrence and reflect the complex genetic heterogeneity of cancers. Here, we tested whether analysis of cfDNA is a viable tool to enhance detection of colon adenomas. To address this, we assessed a cohort of patients with adenomas and healthy controls using droplet digital PCR (ddPCR) and mutation-specific assays targeted to trunk mutations. Additionally, we performed multiregional, targeted next-generation sequencing (NGS) of adenomas and unmasked extensive heterogeneity, affecting known drivers such as APC, KRAS and mismatch repair (MMR) genes. However, tumor-related mutations were undetectable in patients' plasma. Finally, we employed a preclinical mouse model of Apc-driven intestinal adenomas and confirmed the inability to identify tumor-related alterations via cfDNA, despite the enhanced disease burden displayed by this experimental cancer model. Therefore, we conclude that benign colon lesions display extensive genetic heterogeneity, that they are not prone to release DNA into the circulation and are unlikely to be reliably detected with liquid biopsies, at least with the current technologies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Student > Doctoral Student 9 12%
Student > Bachelor 7 9%
Researcher 7 9%
Other 6 8%
Other 12 16%
Unknown 22 29%
Readers by discipline Count As %
Medicine and Dentistry 18 24%
Biochemistry, Genetics and Molecular Biology 12 16%
Agricultural and Biological Sciences 6 8%
Engineering 3 4%
Business, Management and Accounting 2 3%
Other 10 13%
Unknown 24 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 November 2019.
All research outputs
#7,575,658
of 23,102,082 outputs
Outputs from Cell Death & Disease
#2,205
of 6,540 outputs
Outputs of similar age
#131,656
of 334,790 outputs
Outputs of similar age from Cell Death & Disease
#75
of 201 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 64% 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 334,790 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 54% of its contemporaries.
We're also able to compare this research output to 201 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 61% of its contemporaries.