Evidence map›Paper›PMID 28790338›Full record

ArticleScientific reports2017

Statistical analysis of mutant allele frequency level of circulating cell-free DNA and blood cells in healthy individuals.

Ligang Xia, Zhoufang Li, Bo Zhou, Geng Tian, Lidong Zeng, Hongyu Dai, Xiaohua Li, Chaoyu Liu, Shixin Lu, Feiyue Xu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
  2. Review
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  4. Article
  5. A Review of Circulating Tumor DNA in the Diagnosis and Monitoring of Esophageal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Review
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  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
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  14. Article
  15. Life and death of circulating cell-free DNA.Cancer biology & therapy · 2019
    Review
  16. Article
  17. Review
  18. Review
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

15 authors at 6 institutions in 1 country.

Ligang XiaDepartment of Gastrointestinal Surgery, Shenzhen People's Hospital, the Second Clinical Medical College of Jinan University, Shenzhen, 518020, China.
Zhoufang LiDepartment of Biology, South University of Science and Technology of China, Shenzhen, 518055, China.
Bo ZhouDepartment of Biology, South University of Science and Technology of China, Shenzhen, 518055, China.
Geng TianDepartment of Oncology, Shenzhen Second People's Hospital, Shenzhen, China.
Lidong ZengDirect Genomics Co., Ltd., Shenzhen, Guangdong, 518055, China.
Hongyu DaiShenzhen GeneHealth Bio Tech Co., Ltd., Shenzhen, Guangdong, 518053, China.
Xiaohua LiShenzhen GeneHealth Bio Tech Co., Ltd., Shenzhen, Guangdong, 518053, China.
Chaoyu LiuShenzhen GeneHealth Bio Tech Co., Ltd., Shenzhen, Guangdong, 518053, China.
Shixin LuDepartment of Biology, South University of Science and Technology of China, Shenzhen, 518055, China.
Feiyue XuShenzhen GeneHealth Bio Tech Co., Ltd., Shenzhen, Guangdong, 518053, China.
Xiaonian TuShenzhen GeneHealth Bio Tech Co., Ltd., Shenzhen, Guangdong, 518053, China.
Fang DengDepartment of Clinical Laboratory, Anhui Provincial Cancer Hospital, West Branch of Anhui Provincial Hospital, Anhui Medical University, Hefei, China.
Yuancai XieThoracic Department, Peking University Shenzhen Hospital, Shenzhen, China.
Weiren HuangSurgical Department of Urology, Shenzhen Second People's Hospital, Shenzhen, China.
Jiankui HeDepartment of Biology, South University of Science and Technology of China, Shenzhen, 518055, China. hejk@sustc.edu.cn.
Southern University of Science and Technology · CNShenzhen Second People's Hospital · CNAnhui Provincial Hospital · CNBGI Group (China) · CNJinan University · CNPeking University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-free DNA (cfDNA) in plasma has emerged as a potential important biomarker in clinical diagnostics, particularly in cancer. However, somatic mutations are also commonly found in healthy individuals, which interfere with the effectiveness for cancer diagnostics. This study examined the background somatic mutations in white blood cells (WBC) and cfDNA in healthy controls based on sequencing data from 821 non-cancer individuals and several cancer samples with the aim of understanding the patterns of mutations detected in cfDNA. We determined the mutation allele frequencies in both WBC and cfDNA using a panel of 50 cancer-associated genes that covers 20 K-nucleotide region and ultra-deep sequencing with average depth >40000-fold. Our results showed that most of the mutations in cfDNA were highly correlated to WBC. We also observed that the NPM1 gene was the most frequently mutated gene in both WBC and cfDNA. Our study highlighted the importance of sequencing both cfDNA and WBC to improve the sensitivity and accuracy for calling cancer-related mutations from circulating tumour DNA, and shedded light on developing a strategy for early cancer diagnosis by cfDNA sequencing.

Indexed as

Gene FrequencyMutationAdolescentAdultAgedAged, 80 and overAllelesCase-Control StudiesCell-Free Nucleic AcidsCirculating Tumor DNAEarly Detection of CancerFemaleGene ExpressionHigh-Throughput Nucleotide SequencingHumansLeukocytes, MononuclearCell-Free Nucleic AcidsCirculating Tumor DNANPM1 protein, humanNuclear ProteinsNucleophosmin

Identifiers

PMID28790338
PMCPMC5548860
OpenAlexW2742136635

What OpenQuestion holds

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LicenceCC BY
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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.