Evidence map›Paper›PMID 40256837›Full record

ArticleHead & neck2025

Accurate and Efficient Detection of Nasopharyngeal Carcinoma Using Multi-Dimensional Features of Plasma Cell-Free DNA.

Song Zhang, Jiahui Tang, Pin Cui, Weihuang He, Xiaohui Lin, Shubing Wang, Yuanxian Liu, Xiaohua Tan, Shu Xu, Mingji Feng and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Head & neck, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

11 authors.

Song ZhangDepartment of Otolaryngology, Shenzhen Guangming District People's Hospital, Shenzhen, China.ORCID 0000-0003-4047-3104
Jiahui TangDepartment of Otolaryngology, Shenzhen Guangming District People's Hospital, Shenzhen, China.
Pin CuiShenzhen Rapha Biotechnology Incorporate, Shenzhen, China.
Weihuang HeShenzhen Rapha Biotechnology Incorporate, Shenzhen, China.
Xiaohui LinDepartment of Oncology, People's Hospital of Shenzhen Baoan District, The Second Affiliated Hospital of Shenzhen University, Shenzhen, China.
Shubing WangDepartment of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, China.
Yuanxian LiuDepartment of Otolaryngology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Xiaohua TanDepartment of Oncology, Shenzhen Third People's Hospital, Shenzhen, China.
Shu XuDepartment of Oncology, Shenzhen Guangming District People's Hospital, Shenzhen, China.
Mingji FengDepartment of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, China.
Hanming LaiDepartment of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, China.

Funding

Shenzhen Rapha Biotechnology Incorporate R&D Clinical Study Fund RFCS20210701002Shenzhen San-Ming Project of Medicine SZSM2022-11036Shenzhen Science and Technology Innovation Commission JCYJ20230807141514029Shenzhen Science and Technology Innovation Commission KCXFZ20200201101050887Shenzhen Science and Technology Innovation Commission ZDSYS2019-0902092855097
6 · The paper itself

Abstract

backgroundThe incidence of Nasopharyngeal carcinoma (NPC) is rising in recent years, especially in some non-developed parts of the world. Hence, cost-efficient means for sensitive detection of NPC are vital.

methodsWe recruited 646 participants, including healthy individuals, patients with benign nasopharyngeal diseases, and NPC patients for plasma cell-free DNA(cfDNA), which underwent low-depth whole-genome sequencing (WGS) to extract multi-dimensional molecular features, including fragmentation pattern, end motif, copy number variation(CNV), and transcription factors(TF). Based on these features, we employed a machine learning algorithm to build prediction models for NPC detection.

resultsWe achieved a sensitivity of 95.8% and a specificity of 99.4% to discriminate NPC patients from healthy individuals.

conclusionsThis study can be a proof-of-concept for these multi-dimensional molecular features to be implemented as a noninvasive approach for the detection and even early detection of NPC.

Indexed as

Cell-Free Nucleic AcidsNasopharyngeal CarcinomaNasopharyngeal NeoplasmsAdultAgedBiomarkers, TumorCase-Control StudiesDNA Copy Number VariationsFemaleHumansMachine LearningMaleMiddle AgedSensitivity and SpecificityWhole Genome SequencingBiomarkers, TumorCell-Free Nucleic Acidscell‐free DNAcopy number variations (CNV)machine learningnasopharyngeal carcinomawhole genome sequencing (WGS)

Identifiers

PMID40256837
PMCPMC12338027

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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.