Evidence map›Paper›PMID 34178690›Full record

ArticleFrontiers in oncology2021

An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma.

Li Sun, Meijun Du, Manish Kohli, Chiang-Ching Huang, Xiaoxiang Chen, Mu Xu, Hongbing Shen, Shukui Wang, Liang Wang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Article
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

9 authors.

Li SunLaboratory Medicine Center, the Second Affiliated Hospital, Nanjing Medical University, Nanjing, China.
Meijun DuDepartment of Pathology, Medical College of Wisconsin, Milwaukee, WI, United States.
Manish KohliDivision of Oncology, University of Utah Huntsman Cancer Institute, Salt Lake City, UT, United States.
Chiang-Ching HuangZilber School of Public Health, University of Wisconsin, Milwaukee, WI, United States.
Xiaoxiang ChenDepartment of General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Mu XuDepartment of General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Hongbing ShenDepartment of Epidemiology and Biostatistics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
Shukui WangDepartment of General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Liang WangDepartment of Pathology, Medical College of Wisconsin, Milwaukee, WI, United States.

Funding

Cell free nucleic acid-based biomarkers in advanced prostate cancerR01CA212097 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI KOHLI, MANISH, WANG, LIANG · 2017 to 2022
$3.1M
NCI NIH HHS R01 CA212097
6 · The paper itself

Abstract

Circulating tumor DNA (ctDNA) in plasma has been used as a biomarker for cancer detection and outcome prediction. In this study, we collected the five precipitates (fractions 1-5) and leftover supernatant plasma component (fraction 6) by a sequential centrifugation in plasma samples from nine small cell lung cancer (SCLC) patients. The fractions 3, 5 and 6 were large vesicles, exosomes and extracellular vesicles (EVs)-depleted plasma, respectively. Fragment size analysis using DNAs from these fractions showed dramatical differences from a peak of 7-10 kb in fraction 1 to 140-160 bp in fraction 6. To determine ctDNA content, we performed whole genome sequencing and applied copy number-based algorithm to calculate ctDNA percentage. This analysis showed the highest ctDNA content in EV-depleted plasma (average = 27.22%), followed by exosomes (average = 22.09%) and large vesicles (average = 19.70%). Comparatively, whole plasma, which has been used in most ctDNA studies, showed an average of 23.84% ctDNA content in the same group of patients. To further demonstrate higher ctDNA content in fraction 6, we performed mutational analysis in the plasma samples from 22 non-small cell lung cancer (NSCLC) patients with known EGFR mutations. This analysis confirmed higher mutation detection rates in fraction 6 (14/22) than whole plasma (10/22). This study provides a new insight into potential application of using fractionated plasma for an improved ctDNA detection.

Indexed as

copy number variationctDNAexosomeliquid biopsyplasma

Identifiers

PMID34178690
PMCPMC8226168

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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.