Evidence map›Paper›PMID 32368312›Full record

ArticleHereditary cancer in clinical practice2020

Development and validation of next generation sequencing based 35-gene hereditary cancer panel.

Wing Chan, Mianne Lee, Zhen Xuan Yeo, Dingge Ying, Keith A Grimaldi, Craig Pickering, Michael M S Yang, Senthil K Sundaram, Lawrence C H Tzang

Open access · goldAbstract read
In one paragraph

Article in Hereditary cancer in clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. 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 3 institutions in 3 countries.

Wing Chan1Prenetics Limited, 7/F, Prosperity Millennia Plaza, 663 King's Road, Quarry Bay, Hong Kong SAR, China.
Mianne Lee1Prenetics Limited, 7/F, Prosperity Millennia Plaza, 663 King's Road, Quarry Bay, Hong Kong SAR, China.
Zhen Xuan Yeo1Prenetics Limited, 7/F, Prosperity Millennia Plaza, 663 King's Road, Quarry Bay, Hong Kong SAR, China.
Dingge Ying1Prenetics Limited, 7/F, Prosperity Millennia Plaza, 663 King's Road, Quarry Bay, Hong Kong SAR, China.
Keith A GrimaldiExercise and Nutritional Genomics Research Centre, DNAfit Ltd, FORA, 71 Central Street, London, EC1V 8AB UK.
Craig PickeringExercise and Nutritional Genomics Research Centre, DNAfit Ltd, FORA, 71 Central Street, London, EC1V 8AB UK.
Michael M S Yang3Department of Biomedical Science, City University of Hong Kong, 1A-107, 1/F, Block 1, To Yuen Building, Kowloon Tong, Hong Kong SAR, China.
Senthil K Sundaram1Prenetics Limited, 7/F, Prosperity Millennia Plaza, 663 King's Road, Quarry Bay, Hong Kong SAR, China.
Lawrence C H Tzang1Prenetics Limited, 7/F, Prosperity Millennia Plaza, 663 King's Road, Quarry Bay, Hong Kong SAR, China.
Prenetics (China) · CNGenomics England · GBCity University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the genetic basis of cancer risk is a major international endeavor. The emergence of next-generation sequencing (NGS) in late 2000's has further accelerated the discovery of many cancer susceptibility genes. The use of targeted NGS-based multigene testing panels to provide comprehensive analysis of cancer susceptible genes has proven to be a viable option, with the accurate and robust detection of a wide range of clinically relevant variants in the targeted genes being crucial.

methodsWe have developed and validated a targeted NGS-based test for hereditary cancer risk assessment using Illumina's NGS platform by analyzing the protein-coding regions of 35 hereditary cancer genes with a bioinformatics pipeline that utilizes standard practices in the field. This 35-gene hereditary cancer panel is designed to identify germline cancer-causing mutations for 8 different cancers: breast, ovarian, prostate, uterine, colorectal, pancreatic, stomach cancers and melanoma. The panel was validated using well-characterized DNA specimens [NIGMS Human Genetic Cell Repository], where DNA had been extracted using blood of individuals whose genetic variants had been previously characterized by the 1000 Genome Project and the Coriell Catalog.

resultsThe 35-gene hereditary cancer panel shows high sensitivity (99.9%) and specificity (100%) across 4820 variants including single nucleotide variants (SNVs) and small insertions and deletions (indel; up to 25 bp). The reproducibility and repeatability are 99.8 and 100%, respectively.

conclusionsThe use of targeted NGS-based multigene testing panels to provide comprehensive analysis of cancer susceptible genes has been considered a viable option. In the present study, we developed and validated a 35-gene panel for testing 8 common cancers using next-generation sequencing (NGS). The performance of our hereditary cancer panel is assessed across a board range of variants in the 35 genes to support clinical use.

Indexed as

Analytical validationGenetic testingHereditary cancerMultigene panel testingNext generation sequencing

Identifiers

PMID32368312
PMCPMC7189534
OpenAlexW3022474041

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.