Evidence map›Paper›PMID 28686671›Full record

ArticlePloS one2017

Assessment of circulating copy number variant detection for cancer screening.

Bhuvan Molparia, Eshaan Nichani, Ali Torkamani

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  10. Article
  11. Circulating tumor DNA: a noninvasive biomarker for tracking ovarian cancer.Reproductive biology and endocrinology : RB&E · 2021
    Review
  12. Properties and Application of Cell-Free DNA as a Clinical Biomarker.International journal of molecular sciences · 2021
    Review
  13. Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Bhuvan MolpariaThe Scripps Translational Science Institute, La Jolla, CA, United States of America.
Eshaan NichaniMassachusetts Institute of Technology, Cambridge, MA, United States of America.
Ali TorkamaniThe Scripps Translational Science Institute, La Jolla, CA, United States of America.
Scripps Research Institute · USMassachusetts Institute of Technology · US

Funding

Scripps Translational Science InstituteUL1TR001114 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2013 to 2017
$24.0M
SCRIPPS TRANSLATIONAL SCIENCE INSTITUTE (UL1)UL1RR025774 · NCRR · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2008 to 2011
$16.3M
Scripps Genome ADVISER: Annotation and Distributed Variant Interpretation SERverU01HG006476 · NHGRI · SCRIPPS HEALTH · PI TORKAMANI, ALI · 2012 to 2015
$1.1M
NCATS NIH HHS UL1 TR001114NCRR NIH HHS UL1 RR025774NHGRI NIH HHS U01 HG006476
6 · The paper itself

Abstract

Current high-sensitivity cancer screening methods, largely utilizing correlative biomarkers, suffer from false positive rates that lead to unnecessary medical procedures and debatable public health benefit overall. Detection of circulating tumor DNA (ctDNA), a causal biomarker, has the potential to revolutionize cancer screening. Thus far, the majority of ctDNA studies have focused on detection of tumor-specific point mutations after cancer diagnosis for the purpose of post-treatment surveillance. However, ctDNA point mutation detection methods developed to date likely lack either the scope or analytical sensitivity necessary to be useful for cancer screening, due to the low (<1%) ctDNA fraction derived from early stage tumors. On the other hand, tumor-derived copy number variant (CNV) detection is hypothetically a superior means of ctDNA-based cancer screening for many tumor types, given that, relative to point mutations, each individual tumor CNV contributes a much larger number of ctDNA fragments to the overall pool of circulating free DNA (cfDNA). A small number of studies have demonstrated the potential of ctDNA CNV-based screening in select cancer types. Here we perform an in silico assessment of the potential for ctDNA CNV-based cancer screening across many common cancers, and suggest ctDNA CNV detection shows promise as a broad cancer screening methodology.

Indexed as

Biomarkers, TumorDNA Copy Number VariationsDNA, NeoplasmEarly Detection of CancerHumansNeoplasmsNeoplasm StagingNeoplastic Cells, CirculatingPoint MutationBiomarkers, TumorDNA, Neoplasm

Identifiers

PMID28686671
PMCPMC5501586
OpenAlexW2952504525

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.