Evidence map›Paper›PMID 32269691›Full record

ArticleInternational journal of clinical and experimental pathology2020

Identifying a wide range of actionable variants using capture-based ultra-deep targeted sequencing in treatment-naive patients with primary lung adenocarcinoma.

Lingfeng Chen, Minyan Chen, Jie Lin, Xiaoyan Chen, Xunbin Yu, Zhizhong Chen, Long Jin

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 6 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

7 authors at 1 institution in 1 country.

Lingfeng ChenShengli Clinical Medical College, Fujian Medical University Fuzhou, Fujian Province, China.
Minyan ChenDepartment of Breast Surgery, Fujian Medical University Union Hospital Fuzhou, Fujian Province, China.
Jie LinShengli Clinical Medical College, Fujian Medical University Fuzhou, Fujian Province, China.
Xiaoyan ChenShengli Clinical Medical College, Fujian Medical University Fuzhou, Fujian Province, China.
Xunbin YuShengli Clinical Medical College, Fujian Medical University Fuzhou, Fujian Province, China.
Zhizhong ChenShengli Clinical Medical College, Fujian Medical University Fuzhou, Fujian Province, China.
Long JinShengli Clinical Medical College, Fujian Medical University Fuzhou, Fujian Province, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine requires accurate multi-gene clinical diagnostics. In current clinical practice, the minimum confidence threshold for variant calling of targeted next-generation sequencing (NGS) on surgical specimens is set to 2%-5%. However, few studies have been conducted to identify a wide range of actionable variants using capture-based ultra-deep targeted sequencing, which has limit of detection (LOD) of 1%. The AmoyDx® Essential NGS panel for capture-based ultra-deep targeted sequencing (dual-indexed sequencing adapters with UMIs) was performed on 372 surgical specimens obtained from treatment-naive patients with primary lung adenocarcinoma, to detect actionable somatic driver mutations associated with each patient. Single-nucleotide variants, insertion/deletion events, and rearrangements were reported. Amplification-refractory mutation system (ARMS) assay and fluorescence in situ hybridization (FISH) were performed for the validation of hotspot mutations in EGFR and ALK, ROS1, and RET fusions. Potentially actionable variants were identified in 80.5% (352/437) of the nonsynonymous variants that were able to be sequenced, and were most commonly found in EGFR mutations (59.7%, 261/437), followed by KRAS mutations (5.5%, 24/437), PIK3CA mutations (3.7%, 16/437), ALK rearrangements (3.4%, 15/437), BRAF mutations (2.7%, 12/437), ERBB2 mutations (2.5%, 11/437), and RET rearrangements (2.3%, 10/437). A total of 7.2% (28/372) of the samples had multiple actionable mutations. Among the 93 triple-negative cases, which did not harbor mutations in EGFR, KRAS, or BRAF, gene fusions were detected in 26 cases (28%). Of the 328 samples, concordance of EGFR between the ARMS assay and NGS was observed in 318 samples (97.0%), and among 32 samples, concordance between ARMS/FISH test and NGS for ALK/ROS1/RET fusion genes was observed in 30 samples (93.8%). Here, we demonstrated that the capture-based ultra-deep targeted sequencing method, which has a LOD of 1% to profile a wide range of actionable variants in surgical specimens of treatment-naive lung adenocarcinoma patients, highlights the need for treatment-naive patients to undergo genomic profiling.

Indexed as

amplification-refractory mutation systemdriver gene alterationslung adenocarcinomaNext-generation sequencingunique molecular identifiers

Identifiers

PMID32269691
PMCPMC7137022
OpenAlexW3024238262

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.