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The evidence base for circulating tumour DNA blood-based biomarkers for the early detection of cancer: a systematic mapping review

Overview of attention for article published in BMC Cancer, October 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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1 X user
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1 patent

Citations

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101 Dimensions

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233 Mendeley
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Title
The evidence base for circulating tumour DNA blood-based biomarkers for the early detection of cancer: a systematic mapping review
Published in
BMC Cancer, October 2017
DOI 10.1186/s12885-017-3693-7
Pubmed ID
Authors

Ian A. Cree, Lesley Uttley, Helen Buckley Woods, Hugh Kikuchi, Anne Reiman, Susan Harnan, Becky L. Whiteman, Sian Taylor Philips, Michael Messenger, Angela Cox, Dawn Teare, Orla Sheils, Jacqui Shaw, For the UK Early Cancer Detection Consortium

Abstract

The presence of circulating cell-free DNA from tumours in blood (ctDNA) is of major importance to those interested in early cancer detection, as well as to those wishing to monitor tumour progression or diagnose the presence of activating mutations to guide treatment. In 2014, the UK Early Cancer Detection Consortium undertook a systematic mapping review of the literature to identify blood-based biomarkers with potential for the development of a non-invasive blood test for cancer screening, and which identified this as a major area of interest. This review builds on the mapping review to expand the ctDNA dataset to examine the best options for the detection of multiple cancer types. The original mapping review was based on comprehensive searches of the electronic databases Medline, Embase, CINAHL, the Cochrane library, and Biosis to obtain relevant literature on blood-based biomarkers for cancer detection in humans (PROSPERO no. CRD42014010827). The abstracts for each paper were reviewed to determine whether validation data were reported, and then examined in full. Publications concentrating on monitoring of disease burden or mutations were excluded. The search identified 94 ctDNA studies meeting the criteria for review. All but 5 studies examined one cancer type, with breast, colorectal and lung cancers representing 60% of studies. The size and design of the studies varied widely. Controls were included in 77% of publications. The largest study included 640 patients, but the median study size was 65 cases and 35 controls, and the bulk of studies (71%) included less than 100 patients. Studies either estimated cfDNA levels non-specifically or tested for cancer-specific mutations or methylation changes (the majority using PCR-based methods). We have systematically reviewed ctDNA blood biomarkers for the early detection of cancer. Pre-analytical, analytical, and post-analytical considerations were identified which need to be addressed before such biomarkers enter clinical practice. The value of small studies with no comparison between methods, or even the inclusion of controls is highly questionable, and larger validation studies will be required before such methods can be considered for early cancer detection.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 233 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 17%
Researcher 37 16%
Student > Bachelor 21 9%
Other 16 7%
Student > Master 16 7%
Other 40 17%
Unknown 64 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 65 28%
Medicine and Dentistry 48 21%
Agricultural and Biological Sciences 13 6%
Nursing and Health Professions 5 2%
Immunology and Microbiology 4 2%
Other 20 9%
Unknown 78 33%
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 10 October 2023.
All research outputs
#8,057,994
of 26,391,249 outputs
Outputs from BMC Cancer
#2,178
of 9,395 outputs
Outputs of similar age
#118,035
of 342,619 outputs
Outputs of similar age from BMC Cancer
#30
of 105 outputs
Altmetric has tracked 26,391,249 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 9,395 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 342,619 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 65% of its contemporaries.
We're also able to compare this research output to 105 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.