Evidence map›Paper›PMID 38360676›Full record

ArticleDiagnostic pathology2024

Clinical application of the HM-1000 image processing for HER2 fluorescence in situ hybridization signal quantification in breast cancer.

Vicente Peg, Teresa Moline, Miquel Roig, Yuko Saruta, Santiago Ramon Y Cajal

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 3 countries.

Vicente PegPathology Department, Vall d'Hebron University Hospital, Passeo Vall d'Hebron, 119-129, 08035, Barcelona, Spain. vicente.peg@vallhebron.cat.
Teresa MolinePathology Department, Vall d'Hebron University Hospital, Passeo Vall d'Hebron, 119-129, 08035, Barcelona, Spain.
Miquel RoigPathology Department, Vall d'Hebron University Hospital, Passeo Vall d'Hebron, 119-129, 08035, Barcelona, Spain.
Yuko SarutaSysmex R&D Center Europe GmbH, Hamburg, Germany.
Santiago Ramon Y CajalPathology Department, Vall d'Hebron University Hospital, Passeo Vall d'Hebron, 119-129, 08035, Barcelona, Spain.
Hebron University · PSSpanish National Cancer Research Centre · ESSysmex (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate quantification of human epidermal growth factor receptor 2 (HER2) gene amplification is important for predicting treatment response and prognosis in patients with breast cancer. Fluorescence in situ hybridization (FISH) is the gold standard for the diagnosis of HER2 status, particularly in cases with equivocal status on immunohistochemistry (IHC) staining, but has some limitations of non-classical amplifications and such cases are diagnosed basing on additional IHC and FISH. This study investigated the clinical utility of a novel super-resolution fluorescence microscopy technique for the better FISH signal visualization and HER2 FISH classification.

methodsFourteen breast cancer tissue samples were retrospectively collected between September 2018 and February 2022, and FISH HER2 signal quantification was evaluated by determining the HER2/chromosome 17 centromere (CEP17) ratio and the number of HER2 signals per nucleus in super- versus conventional-resolution images.

resultsSuper-resolution images maintained the same overall HER2 diagnosis from routine, but HER2 FISH amplification changed negative to monosomy in two cases. Two Letrozole non-response relapses coincided to monosomy samples. The median number of HER2 signals per nucleus was 7.5 in super-resolution images and 4.0 in conventional-resolution images in HER2-positive samples and 2.8 and 2.1 signals per nucleus, respectively, in HER2-negative samples.

conclusionsSuper-resolution images improved signal visualization, including a significant difference in the number of countable HER2 and CEP17 signals in a single nucleus compared with conventional-resolution images. Increased accuracy of signal quantification by super-resolution microscopy may provide clinicians with more detailed information regarding HER2 FISH status that allows to better FISH classification such as HER2-low samples.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleGene AmplificationHumansIn Situ Hybridization, FluorescenceMonosomyNeoplasm Recurrence, LocalRetrospective StudiesErb-b2 Receptor Tyrosine KinasesBreast cancerFluorescence in situ hybridizationHER2 expressionSuper-resolution microscopy

Identifiers

PMID38360676
PMCPMC10868098
OpenAlexW4391842785

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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.