Evidence map›Paper›PMID 31409745›Full record

ArticleThe oncologist2019

An Accurate and Comprehensive Clinical Sequencing Assay for Cancer Targeted and Immunotherapies.

Jingyu Cao, Lijuan Chen, Heng Li, Hui Chen, Jicheng Yao, Shuo Mu, Wenjin Liu, Peng Zhang, Yuwei Cheng, Binbin Liu and 18 more

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

65 citing papers in PubMed, 97 citations in OpenAlex.

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  19. GISTs withCancers · 2022
    Article
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5 more citing papers are in PubMed but not listed here.

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

28 authors at 12 institutions in 2 countries.

Jingyu CaoDepartment of Hepatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China.
Lijuan ChenOrigiMed, Shanghai, People's Republic of China.
Heng LiDepartment of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Tumor Hospital, Kunming, People's Republic of China.
Hui ChenOrigiMed, Shanghai, People's Republic of China.
Jicheng YaoOrigiMed, Shanghai, People's Republic of China.
Shuo MuOrigiMed, Shanghai, People's Republic of China.
Wenjin LiuOrigiMed, Shanghai, People's Republic of China.
Peng ZhangOrigiMed, Shanghai, People's Republic of China.
Yuwei ChengProgram of Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.
Binbin LiuOrigiMed, Shanghai, People's Republic of China.
Zhongxiang HuOrigiMed, Shanghai, People's Republic of China.
Donglin ChenOrigiMed, Shanghai, People's Republic of China.
Hui KangOrigiMed, Shanghai, People's Republic of China.
Jinwei HuOrigiMed, Shanghai, People's Republic of China.
Aodi WangOrigiMed, Shanghai, People's Republic of China.
Weifeng WangOrigiMed, Shanghai, People's Republic of China.
Ming YaoOrigiMed, Shanghai, People's Republic of China.
Gungwei ChrinOrigiMed, Shanghai, People's Republic of China.
Xiaoting WangDepartment of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, People's Republic of China.
Wei ZhaoDepartment of Hepatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China.
Lei LiDepartment of Hepatobiliary Surgery, Shandong Tumor Hospital, Jinan, People's Republic of China.
Luping XuDepartment of General Surgery, The First Affiliated Hospital, Jiaxing College of Medicine, Jiangxi, People's Republic of China.
Weixin GuoDepartment of Chemotherapy, Meizhou People's Hospital, Meizhou, People's Republic of China.
Jun JiaDepartment of Oncology, Dongguan People's Hospital, Dongguan, People's Republic of China.
Jianhua ChenDepartment of Medical Oncology-Chest, Hunan Cancer Hospital, Changsha, People's Republic of China.
Kai WangOrigiMed, Shanghai, People's Republic of China.
Gaofeng LiDepartment of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Tumor Hospital, Kunming, People's Republic of China gaofeng_li2016@sina.com shiww@origimed.com.
Weiwei ShiOrigiMed, Shanghai, People's Republic of China gaofeng_li2016@sina.com shiww@origimed.com.
Unimed Medical Institute · CNKunming Medical University · CNAffiliated Hospital of Qingdao University · CNDongguan People’s Hospital · CNFirst Affiliated Hospital Zhejiang University · CNFirst Hospital of Jiaxing · CNHunan Cancer Hospital · CNMeizhou City People's Hospital · CNQingdao University · CNShandong Tumor Hospital · CNTongji University · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncorporation of next-generation sequencing (NGS) technology into clinical utility in targeted and immunotherapies requires stringent validation, including the assessment of tumor mutational burden (TMB) and microsatellite instability (MSI) status by NGS as important biomarkers for response to immune checkpoint inhibitors. MATERIALS AND

methodsWe designed an NGS assay, Cancer Sequencing YS panel (CSYS), and applied algorithms to detect five classes of genomic alterations and two genomic features of TMB and MSI.

resultsBy stringent validation, CSYS exhibited high sensitivity and predictive positive value of 99.7% and 99.9%, respectively, for single nucleotide variation; 100% and 99.9%, respectively, for short insertion and deletion (indel); and 95.5% and 100%, respectively, for copy number alteration (CNA). Moreover, CSYS achieved 100% specificity for both long indel (50-3,000 bp insertion and deletion) and gene rearrangement. Overall, we used 33 cell lines and 208 clinical samples to validate CSYS's NGS performance, and genomic alterations in clinical samples were also confirmed by fluorescence in situ hybridization, immunohistochemistry, and polymerase chain reaction (PCR). Importantly, the landscape of TMB across different cancers of Chinese patients (

conclusionCSYS proves to be clinically applicable and useful in disclosing genomic alterations relevant to cancer target therapies and revealing biomarkers for immune checkpoint inhibitors. IMPLICATIONS FOR PRACTICE: The study describes a specially designed sequencing panel assay to detect genomic alterations and features of 450 cancer genes, including its overall workflow and rigorous clinical and analytical validations. The distribution of pan-cancer tumor mutational burden, microsatellite instability, gene rearrangement, and long insertion and deletion mutations was assessed for the first time by this assay in a broad array of Chinese patients with cancer. The Cancer Sequencing YS panel and its validation study could serve as a blueprint for developing next-generation sequencing-based assays, particularly for the purpose of clinical application.

Indexed as

High-Throughput Nucleotide SequencingHumansImmunotherapyMicrosatellite InstabilityMutationNeoplasmsGene rearrangementLong insertion and deletionMicrosatellite instabilityNext‐generation sequencing‐based assayTargeted therapies and immunotherapiesTumor mutational burden

Identifiers

PMID31409745
PMCPMC6975945
OpenAlexW2968962295

What OpenQuestion holds

Textmetadata
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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.