Evidence map›Paper›PMID 12163366›Full record

ArticleThe American journal of pathology2002

Multicolor-FICTION: expanding the possibilities of combined morphologic, immunophenotypic, and genetic single cell analyses.

José Ignacio Martín-Subero, Ilse Chudoba, Lana Harder, Stefan Gesk, Werner Grote, Francisco Javier Novo, María José Calasanz, Reiner Siebert

Abstract read
In one paragraph

Article in The American journal of pathology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

17 citing papers in PubMed.

  1. Article
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  3. Image cytometry-based detection of aneuploidy by fluorescence in situ hybridization in suspension.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2012
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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

8 authors.

José Ignacio Martín-SuberoInstitute of Human Genetics, University Hospital Kiel, Kiel, Germany. imartin@medgen.uni-kiel.de
Ilse Chudoba
Lana Harder
Stefan Gesk
Werner Grote
Francisco Javier Novo
María José Calasanz
Reiner Siebert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenotypic and genotypic analyses of cells are increasingly essential for understanding pathogenetic mechanisms as well as for diagnosing and classifying malignancies and other diseases. We report a novel multicolor approach based on the FICTION (fluorescence immunophenotyping and interphase cytogenetics as a tool for the investigation of neoplasms) technique, which enables the simultaneous detection of morphological, immunophenotypic, and genetic characteristics of single cells. As prerequisite, multicolor interphase fluorescence in situ hybridization assays for B-cell non-Hodgkin's lymphoma and anaplastic large-cell lymphoma have been developed. These assays allow the simultaneous detection of the most frequent primary chromosomal aberrations in these neoplasms, such as t(8;14), t(11;14), t(14;18), and t(3;14), and the various rearrangements of the ALK gene, respectively. To establish the multicolor FICTION technique, these assays were combined with the immunophenotypic detection of lineage- or tumor-specific antigens, namely CD20 and ALK, respectively. For evaluation of multicolor FICTION experiments, image acquisition was performed by automatic sequential capturing of multiple focal planes. Thus, three-dimensional information was obtained. The multicolor FICTION assays were applied to well-characterized lymphoma samples, proving the performance, validity, and diagnostic power of the technique. Future multicolor FICTION applications include the detection of preneoplastic lesions, early stage and minimal residual diseases, or micrometastases.

Indexed as

AdultAnaplastic Lymphoma KinaseAntigens, CD20ChildChromosome AberrationsHumansImmunophenotypingIn Situ Hybridization, FluorescenceLymphomaMaleMiddle AgedMolecular Diagnostic TechniquesProtein-Tyrosine KinasesReceptor Protein-Tyrosine KinasesSensitivity and SpecificityALK protein, humanAnaplastic Lymphoma KinaseAntigens, CD20Protein-Tyrosine KinasesReceptor Protein-Tyrosine Kinases

Identifiers

PMID12163366
PMCPMC1850749

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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.