Evidence map›Paper›PMID 27119558›Full record

ArticlePloS one2016

Tumor Content Chart-Assisted HER2/CEP17 Digital PCR Analysis of Gastric Cancer Biopsy Specimens.

Keisuke Matsusaka, Shumpei Ishikawa, Atsuhito Nakayama, Tetsuo Ushiku, Aiko Nishimoto, Masayuki Urabe, Nobuyuki Kaneko, Akiko Kunita, Atsushi Kaneda, Hiroyuki Aburatani and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. 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
1.1field-weighted citation impact, top 21% 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, 5 citations in OpenAlex.

  1. Review
  2. 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

13 authors at 3 institutions in 1 country.

Keisuke MatsusakaDivision of Diagnostic Pathology, the University of Tokyo Hospital, Tokyo, Japan.
Shumpei IshikawaDepartment of Pathology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
Atsuhito NakayamaDepartment of Pathology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
Tetsuo UshikuDepartment of Pathology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
Aiko NishimotoDepartment of Pathology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
Masayuki UrabeDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Nobuyuki KanekoDivision of Diagnostic Pathology, the University of Tokyo Hospital, Tokyo, Japan.
Akiko KunitaDepartment of Pathology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
Atsushi KanedaDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hiroyuki AburataniGenome Science Division, Research Center for Advanced Science and Technology, the University of Tokyo, Tokyo, Japan.
Mitsuhiro FujishiroDepartment of Endoscopy and Endoscopic Surgery, the University of Tokyo Hospital, Tokyo, Japan.
Yasuyuki SetoDepartment of Gastrointestinal Surgery, the University of Tokyo Hospital, Tokyo, Japan.
Masashi FukayamaDivision of Diagnostic Pathology, the University of Tokyo Hospital, Tokyo, Japan.
The University of Tokyo · JPUniversity of Tokyo Hospital · JPChiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluating HER2 gene amplification is an essential component of therapeutic decision-making for advanced or metastatic gastric cancer. A simple method that is applicable to small, formalin-fixed, paraffin-embedded biopsy specimens is desirable as an adjunct to or as a substitute for currently used HER2 immunohistochemistry and in situ hybridization protocols. In this study, we developed a microfluidics-based digital PCR method for determining HER2 and chromosome 17 centromere (CEP17) copy numbers and estimating tumor content ratio (TCR). The HER2/CEP17 ratio is determined by three variables-TCR and absolute copy numbers of HER2 and CEP17-by examining tumor cells; only the ratio of the latter two can be obtained by digital PCR using the whole specimen without purifying tumor cells. TCR was determined by semi-automatic image analysis. We developed a Tumor Content chart, which is a plane of rectangular coordinates consisting of HER2/CEP17 digital PCR data and TCR that delineates amplified, non-amplified, and equivocal areas. By applying this method, 44 clinical gastric cancer biopsy samples were classified as amplified (n = 13), non-amplified (n = 25), or equivocal (n = 6). By comparison, 11 samples were positive, 11 were negative, and 22 were equivocally immunohistochemistry. Thus, our novel method reduced the number of equivocal samples from 22 to 6, thereby obviating the need for confirmation by fluorescence or dual-probe in situ hybridization to < 30% of cases. Tumor content chart-assisted digital PCR analysis is also applicable to multiple sites in surgically resected tissues. These results indicate that this analysis is a useful alternative to HER2 immunohistochemistry in gastric cancers that can serve as a basis for the automated evaluation of HER2 status.

Indexed as

Automation, LaboratoryBiopsyCell Line, TumorChromosomes, Human, Pair 17Data Interpretation, StatisticalErb-b2 Receptor Tyrosine KinasesFormaldehydeGene DosageGene ExpressionHumansImmunohistochemistryIn Situ Hybridization, FluorescenceMaleMicrofluidicsPolymerase Chain ReactionStomach NeoplasmsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesFormaldehyde

Identifiers

PMID27119558
PMCPMC4847903
OpenAlexW2344541648

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.