Evidence map›Paper›PMID 33854338›Full record

ArticleOncoTargets and therapy2021

Development and Analytical Validation of a Targeted Next-Generation Sequencing Panel to Detect Actionable Mutations for Targeted Therapy.

Dandan Wang, Kai Ma, Wei Deng, Jingyu Li, Shaohua Xiang, Yang Zhang, Ying Fu, Heng Dai, Bingding Huang

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 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
0.2field-weighted citation impact, top 58% 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
  2. Frontiers in oncology · 2021
    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 at 4 institutions in 1 country.

Dandan Wang *College of Big Data and Internet, Shenzhen Technology University, Shenzhen, Guangdong, 518118, People's Republic of China.
Kai Ma *Department of Thoracic Surgery, National Cancer Center, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, Guangdong, 518116, People's Republic of China.
Wei Deng *Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Disease, Beijing, 100050, People's Republic of China.ORCID 0000-0001-5313-5599
Jingyu LiCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen, Guangdong, 518118, People's Republic of China.
Shaohua XiangCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen, Guangdong, 518118, People's Republic of China.
Yang ZhangDepartment of Research and Development, Sinotech Genomics Inc., Shanghai, 230001, People's Republic of China.ORCID 0000-0002-0098-8974
Ying FuDepartment of Research and Development, Sinotech Genomics Inc., Shanghai, 230001, People's Republic of China.
Heng DaiDepartment of Research and Development, Sinotech Genomics Inc., Shanghai, 230001, People's Republic of China.
Bingding HuangCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen, Guangdong, 518118, People's Republic of China.ORCID 0000-0002-4748-2882
Sinotech Genomics (China) · CNShenzhen Technology University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNNational Clinical Research Center for Digestive Diseases · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability to rapidly, inexpensively, and accurately identify cancer patients based on actionable genomic mutations in tumour specimens is becoming critically important in routine clinical diagnostics. Targeted panel sequencing is becoming popular because it enables comprehensive and cost-effective diagnosis. However, the implementation of a next-generation sequencing (NGS) assay in clinical settings requires careful analytical validation to demonstrate its ability to detect multiple genomic variants. MATERIALS AND

methodsHere, we developed a custom-targeted NGS panel to identify actionable variants, including single nucleotide variants, insertions, and deletions; copy number variants; and gene fusions, across 73 genes for targeted cancer therapy. We implemented a practical validation strategy with diluted samples and reference standard samples that modelled key determinants of accuracy, including mutant allele frequency, insertion/deletion length, amplitude of copy number, and hotspot gene fusions.

resultsThe analytical validation results demonstrated that our panel can identify different types of genomic alterations in these test samples with high levels of accuracy, sensitivity, and reproducibility.

conclusionOur panel could be deployed as a routine clinical test to comprehensively detect actionable variants in cancer patients to guide targeted therapy decisions.

Indexed as

actionable mutationsnext-generation sequencingtargeted therapy

Identifiers

PMID33854338
PMCPMC8039190
OpenAlexW3142280176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.