Evidence map›Paper›PMID 28754904›Full record

ArticleScientific reports2017

Robust and accurate digital measurement for HER2 amplification in HER2 equivocal breast cancer diagnosis.

Yuefeng Wang, Julia Y S Tsang, Yongmei Cui, Ji Cui, Ying Lin, Songli Zhao, Patrick T W Law, Sai Yin Cheung, Enders K O Ng, Gary M K Tse and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

11 authors.

Yuefeng WangDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Julia Y S TsangDepartment of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Yongmei CuiDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ji CuiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ying LinBreast Disease Center, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Songli ZhaoDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Patrick T W LawPangenia Lifesciences Limited, Hong Kong, China.
Sai Yin CheungDepartment of Pathology, Tuen Mun Hospital, Hong Kong, China.
Enders K O NgPangenia Lifesciences Limited, Hong Kong, China.
Gary M K TseDepartment of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China. garytse@cuhk.edu.hk.
Zunfu KeDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. kezunfu@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, there are no recommended alternative assays for HER2 cases deemed equivocal by immunohistochemistry and fluorescent in situ hybridization. Digital PCR (ddPCR), a highly accurate method to determine DNA copy number, could be a robust alternative for clinical HER2 diagnostics. HER2 and CEP17 copy numbers were quantified using two ddPCR platforms (QX200 and RainDrop) in 102 samples of invasive breast cancers. Compared to routine assays, ddPCR gave a sensitivity and specificity of 82.8% and 97.3% respectively, with a kappa value of 0.833 (p < 0.001). Moreover, the method proved to be robust as the results from two platforms was highly correlated (R

Indexed as

Gene AmplificationBreast NeoplasmsCohort StudiesErb-b2 Receptor Tyrosine KinasesFemaleHumansPolymerase Chain ReactionErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID28754904
PMCPMC5533703

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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.