Evidence map›Paper›PMID 38680658›Full record

ArticleiScience2024

Circulating DNA genome-wide fragmentation in early detection and disease monitoring of hepatocellular carcinoma.

Shifeng Lian, Chenyu Lu, Fugui Li, Xia Yu, Limei Ai, Biaohua Wu, Xueyi Gong, Wenjing Zhou, Yulong Xie, Yun Du and 10 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

20 authors.

Shifeng LianMing Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Sha Tin, Hong Kong SAR of the People's Republic of China.
Chenyu LuDepartment of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR of the People's Republic of China.
Fugui LiCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Xia YuCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Limei AiMing Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Sha Tin, Hong Kong SAR of the People's Republic of China.
Biaohua WuCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Xueyi GongDepartment of General Surgery, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Wenjing ZhouDepartment of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR of the People's Republic of China.
Yulong XieCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Yun DuCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Wen QuanCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Panpan WangCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Li DengCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Xuejun LiangXiaolan Public Health Service Center, Zhongshan, People's Republic of China.
Jiyun ZhanXiaolan Public Health Service Center, Zhongshan, People's Republic of China.
Yong YuanCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Fang FangUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Zhiwei LiuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Mingfang JiCancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Zongli ZhengMing Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Sha Tin, Hong Kong SAR of the People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide circulating cell-free DNA (ccfDNA) fragmentation for cancer detection has been rarely evaluated using blood samples collected before cancer diagnosis. To evaluate ccfDNA fragmentation for detecting early hepatocellular carcinoma (HCC), we first modeled and tested using hospitalized HCC patients and then evaluated in a population-based study. A total of 427 samples were analyzed, including 270 samples collected prior to HCC diagnosis from a population-based study. Our model distinguished hospital HCC patients from controls excellently (area under curve 0.999). A high ccfDNA fragmentation score was highly associated with an advanced tumor stage and a shorter survival. In evaluation, the model showed increasing sensitivities in detecting HCC using 'pre-samples' collected ≥4 years (8.3%), 3-4 years (20.0%), 2-3 years (31.0%), 1-2 years (35.0%), and 0-1 year (36.4%) before diagnosis. These findings suggested ccfDNA fragmentation is sensitive in clinical HCC detection and might be helpful in screening early HCC.

Indexed as

CancerClinical genetics

Identifiers

PMID38680658
PMCPMC11053305

What OpenQuestion holds

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Registered trials

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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.