Evidence map›Paper›PMID 32621174›Full record

ArticlePathology oncology research : POR2020

Evaluation of Next Generation Sequencing for Detecting HER2 Copy Number in Breast and Gastric Cancers.

Dongfeng Niu, Lei Li, Yang Yu, Wanchun Zang, Zhongwu Li, Lixin Zhou, Ling Jia, Guanhua Rao, Lianju Gao, Gang Cheng and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 43 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Dongfeng NiuDepartment of Pathology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Lei LiBeijing Novogene Bioinformatics Technology Co., Ltd, Beijing, China.
Yang YuBeijing Novogene Bioinformatics Technology Co., Ltd, Beijing, China.
Wanchun ZangBeijing Novogene Bioinformatics Technology Co., Ltd, Beijing, China.
Zhongwu LiDepartment of Pathology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Lixin ZhouDepartment of Pathology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Ling JiaDepartment of Pathology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Guanhua RaoBeijing Novogene Bioinformatics Technology Co., Ltd, Beijing, China.
Lianju GaoBeijing Novogene Bioinformatics Technology Co., Ltd, Beijing, China.
Gang ChengBeijing Novogene Bioinformatics Technology Co., Ltd, Beijing, China.
Ke JiDepartment of Gastrointestinal Surgery, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China. ji_jiafu@hotmail.com.
Dongmei LinDepartment of Pathology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China. Dongm_lin@126.com.
Novogene Bioinformatics Institute · CNPeking University Cancer Hospital · CNPeking University · CN

Funding

Natural Science Foundation of China 81472743
6 · The paper itself

Abstract

Amplicon-based next generation sequencing (NGS) approaches have been preferentially adopted by the clinical laboratories on the basis of a short turnaround time (TAT) and small DNA input needs. However, little work has been done to assess the amplicon-based NGS methods for copy number variation (CNV) detection in comparison with current standard methods like immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH). The correlation between NGS based CNV detection and the later standard methods has remained unexplored. We developed an amplicon-based panel to detect human epidermal receptor growth factor (HER2) amplification in formalin-fixed paraffin-embedded (FFPE) tumor tissue samples from 280 breast cancer and 50 gastric cancer patients. Assessment by IHC and FISH was conducted in parallel, and descriptive statistics were used to assess the concordance. The copy number detected by NGS was correlated with either the average HER2 copy number (signals/cell) (r = 0.844; p < 0.001) or the HER2/CEP17 ratio (r = 0.815; p < 0.001). We determined a cut-off value for NGS to categorize HER2 amplification status by using 151 HER2 non-amplified FFPE samples. In breast cancer patients, the cut-off value was 2.910, with 95.35%, 98.67% and 97.29% sensitivity, specificity and concordance, respectively. However, this cut-off value displayed low sensitivity in gastric cancer patients (64.71%), and the following macrodissection procedure was not effective for increasing sensitivity (57.14%). Evaluation of HER2 copy number with NGS in our study was comparable with IHC and FISH in breast cancer patients, but concordance in gastric cancer was only moderate. The greater discordance in gastric cancer may reflect the underlying biological mechanisms, and further study is warranted. NGS-based HER2 assessment may decrease the equivocal HER2 determinations in breast cancer patients assessed by FISH/IHC.

Indexed as

Biomarkers, TumorBreast NeoplasmsDNA Copy Number VariationsErb-b2 Receptor Tyrosine KinasesFemaleHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAStomach NeoplasmsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesBreast cancerFISH/IHCGastric cancerHER2 amplificationNext generation sequencing

Identifiers

PMID32621174
PMCPMC7471150
OpenAlexW3040676308

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.