Evidence map›Paper›PMID 26135922›Full record

ArticlePloS one2015

Automated Analysis of 1p/19q Status by FISH in Oligodendroglial Tumors: Rationale and Proposal of an Algorithm.

Céline Duval, Marie de Tayrac, Karine Michaud, Florian Cabillic, Claudie Paquet, Peter Vincent Gould, Stéphan Saikali

Abstract readComparative StudyValidation Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Céline DuvalDepartment of pathology, Centre Hospitalier Universitaire de Québec, Québec, Canada.
Marie de TayracDepartment of genomic and molecular genetics, Centre Hospitalier Universitaire de Rennes, Rennes, France.
Karine MichaudDepartment of Neurosurgery, Centre Hospitalier Universitaire de Québec, Québec, Canada.
Florian CabillicDepartment of cytogenetics and cellular biology, Centre Hospitalier Universitaire de Rennes, Rennes, France.
Claudie PaquetDepartment of pathology, Centre Hospitalier Universitaire de Québec, Québec, Canada.
Peter Vincent GouldDepartment of pathology, Centre Hospitalier Universitaire de Québec, Québec, Canada.
Stéphan SaikaliDepartment of pathology, Centre Hospitalier Universitaire de Québec, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo propose a new algorithm facilitating automated analysis of 1p and 19q status by FISH technique in oligodendroglial tumors with software packages available in the majority of institutions using this technique.

methodsWe documented all green/red (G/R) probe signal combinations in a retrospective series of 53 oligodendroglial tumors according to literature guidelines (Algorithm 1) and selected only the most significant combinations for a new algorithm (Algorithm 2). This second algorithm was then validated on a prospective internal series of 45 oligodendroglial tumors and on an external series of 36 gliomas.

resultsAlgorithm 2 utilizes 24 G/R combinations which represent less than 40% of combinations observed with Algorithm 1. The new algorithm excludes some common G/R combinations (1/1, 3/2) and redefines the place of others (defining 1/2 as compatible with normal and 3/3, 4/4 and 5/5 as compatible with imbalanced chromosomal status). The new algorithm uses the combination + ratio method of signal probe analysis to give the best concordance between manual and automated analysis on samples of 100 tumor cells (91% concordance for 1p and 89% concordance for 19q) and full concordance on samples of 200 tumor cells. This highlights the value of automated analysis as a means to identify cases in which a larger number of tumor cells should be studied by manual analysis. Validation of this algorithm on a second series from another institution showed a satisfactory concordance (89%, κ = 0.8).

conclusionOur algorithm can be easily implemented on all existing FISH analysis software platforms and should facilitate multicentric evaluation and standardization of 1p/19q assessment in gliomas with reduction of the professional and technical time required.

Indexed as

AlgorithmsChromosome DeletionIn Situ Hybridization, FluorescenceAutomationBrain NeoplasmsChromosomes, Human, Pair 1GliomaHumansOligodendrogliomaParaffin EmbeddingProspective StudiesRetrospective Studies

Identifiers

PMID26135922
PMCPMC4489714

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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.