Evidence map›Paper›PMID 35116297›Full record

ArticleTranslational cancer research2021

Characterization of genomic clones by targeted deep sequencing of ctDNA to monitor liver cancer.

Yan Sun, Xiaoyu Kong, Jing Yu, Xiaolin Zheng, Mufei Lin, Zhengyu Cheng, Hui Wang, Na An, Ying Xie, Shuang Zeng and 11 more

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2021. 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
0.1field-weighted citation impact, top 61% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

21 authors at 6 institutions in 2 countries.

Yan Sun *BGI Genomics, BGI-Shenzhen, Shenzhen, China.
Xiaoyu Kong *The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jing Yu *BGI Genomics, BGI-Shenzhen, Shenzhen, China.
Xiaolin Zheng *The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mufei LinBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Zhengyu ChengBGI Wuhan Biotechnology, BGI-Shenzhen, Wuhan, China.
Hui WangBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Na AnBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Ying XieBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Shuang ZengBGI-Shenzhen, Shenzhen, China.
Siming XueBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Min XiaMGI, BGI-Shenzhen, Shenzhen, China.
Xia WeiBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Lijie SongTianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, China.
Fengxia LiuTianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, China.
Chunna FanTianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, China.
Zhonghai FangTianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, China.
Liangjun GaoBGI-Wuhan Clinical Laboratories, BGI-Shenzhen, Wuhan, China.
Yun YangBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Shida ZhuBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Taiping ShiBGI Genomics, BGI-Shenzhen, Shenzhen, China.
BGI Group (China) · CNBGI GenomicsTianjin Medical University · CNCentral Hospital of Wuhan · CNHuazhong University of Science and Technology · CNUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, the morbidity and mortality of cancer patients have continued to increase in China, and there is an urgent need to develop an effective method to monitor tumor dynamics and measure tumor burden. Derived from the cell-free fraction of blood in cancer patients, circulating tumor DNA (ctDNA) has been regarded as a promising surrogate for tumor tissue biopsies. With the development of sequencing technology, ctDNA has been recognized as a specific and highly sensitive biomarker, and it has become a hot research spot in recent years.

methodsIn this paper, we investigated clonal changes before and after surgery in liver cancer patients using ctDNA.

resultsFirst, we evaluated the accuracy and stability of the method in ctDNA detection using virtual tumor samples with known mutations. The results showed that our method detected variants with an allelic frequency of at least 0.5%. We then applied this method to 34 liver cancer patients. A total of 266 clinically relevant mutations were identified in the pretreatment plasma samples. Through the analysis of plasma DNA samples at different treatment time points, we also investigated the possibility of using ctDNA as a prognostic factor to reflect tumor dynamics and to evaluate clinical responses.

conclusionsThe results demonstrated that targeted high-depth next-generation sequencing can be used in ctDNA detection. Compared to traditional biopsy, the detection of ctDNA provides more information for human liver cancer, which is essential to guide the selection of therapy and predict prognosis.

Indexed as

BGISEQ-500Circulating tumor DNA (ctDNA)liver cancermonitoringtargeted next-generation sequencing

Identifiers

PMID35116297
PMCPMC8797990
OpenAlexW3198772856

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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.