Evidence map›Paper›PMID 38866008›Full record

ArticleCell reports methods2024

Systematic biases in reference-based plasma cell-free DNA fragmentomic profiling.

Xiaoyi Liu, Mengqi Yang, Dingxue Hu, Yunyun An, Wanqiu Wang, Huizhen Lin, Yuqi Pan, Jia Ju, Kun Sun

Abstract read
In one paragraph

Article in Cell reports methods, 2024. 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. Article
  2. Cancer-Like Fragmentomic Characteristics of Somatic Variants in Cell-Free DNA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Review
  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.

Xiaoyi LiuInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China.
Mengqi YangInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China; Department of Chemical and Biological Engineering, Division of Life Science, Hong Kong University of Science and Technology, Hong Kong SAR 999077, China.
Dingxue HuInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China; Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China.
Yunyun AnInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China.
Wanqiu WangInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China; Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China.
Huizhen LinInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China.
Yuqi PanInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China; Department of Biology, Southern University of Science and Technology, Shenzhen 518055, China.
Jia JuInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China; Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China.
Kun SunInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China. Electronic address: sunkun@szbl.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasma cell-free DNA (cfDNA) fragmentation patterns are emerging directions in cancer liquid biopsy with high translational significance. Conventionally, the cfDNA sequencing reads are aligned to a reference genome to extract their fragmentomic features. In this study, through cfDNA fragmentomics profiling using different reference genomes on the same datasets in parallel, we report systematic biases in such conventional reference-based approaches. The biases in cfDNA fragmentomic features vary among races in a sample-dependent manner and therefore might adversely affect the performances of cancer diagnosis assays across multiple clinical centers. In addition, to circumvent the analytical biases, we develop Freefly, a reference-free approach for cfDNA fragmentomics profiling. Freefly runs ∼60-fold faster than the conventional reference-based approach while generating highly consistent results. Moreover, cfDNA fragmentomic features reported by Freefly can be directly used for cancer diagnosis. Hence, Freefly possesses translational merit toward the rapid and unbiased measurement of cfDNA fragmentomics.

Indexed as

Cell-Free Nucleic AcidsBiasHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyNeoplasmsSequence Analysis, DNACell-Free Nucleic Acidscancer diagnosisCP: Systems biologyend motifliquid biopsysize profile

Identifiers

PMID38866008
PMCPMC11228372

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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.