Evidence map›Paper›PMID 23979398›Full record

ArticlePediatric surgery international2013

Assessment of fine needle aspiration cytology samples for molecular genetic analysis in neuroblastoma.

Ankur Mandelia, Sandeep Agarwala, Arundhati Sharma, Venkateswaran K Iyer, Veereshwar Bhatnagar

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Article in Pediatric surgery international, 2013. 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
–field-weighted citation impact, top 88% 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

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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

2 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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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 1 institution in 1 country.

Ankur MandeliaDepartment of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi, 110029, India.
Sandeep Agarwala
Arundhati Sharma
Venkateswaran K Iyer
Veereshwar Bhatnagar
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the utility of fine needle aspiration cytology (FNAC) samples for molecular genetic analysis of neuroblastoma.

methodsThe case files from the pediatric solid tumor clinic were reviewed to identify 20 neuroblastoma patients whose pre-treatment FNAC slides were preserved in the cytology laboratory. The FNAC slides were destained, air dried and hybridisation with fluorescence in situ hybridisation (FISH) probes was performed as per protocol. All slides were screened and analyzed carefully under the fluorescent microscope. Over four-fold increase of the N-myc signal numbers was defined as N-myc amplification. Focal occurrence of cells (at least 50) showing N-myc amplification surrounded by non-amplified tumor cells was defined as focal N-myc amplification. Presence of three or more signals for the long arm of chromosome 17 was defined as 17q gain.

resultsFISH analysis gave informative results for all the FNAC smears in our study. FISH analysis of FNAC smears showed N-myc amplification in 5 (25 %) out of 20 patients and 15 (75 %) showed normal N-myc copy number. Three out of these five patients had homogenous amplification and two patients had focal N-myc amplification, indicating tumor heterogeneity. On investigation of chromosome 17q status, 5 (25 %) out of 20 patients demonstrated gain of 17q and 15 (75 %) patients showed normal 17q status. Four out of the five patients with 17q gain also showed N-myc amplification.

conclusionsThe current study indicates that FNAC is a rapid and atraumatic diagnostic method for neuroblastoma which provides sufficient material for molecular genetic analyses by means of FISH.

Indexed as

Genetic MarkersAbdominal NeoplasmsBiomarkers, TumorBiopsy, Fine-NeedleChild, PreschoolDNA, NeoplasmFemaleFollow-Up StudiesHumansInfantIn Situ Hybridization, FluorescenceMaleNeoplasm StagingNeuroblastomaNucleic Acid Amplification TechniquesPrognosisBiomarkers, TumorDNA, NeoplasmGenetic Markers

Identifiers

PMID23979398
OpenAlexW2056518017

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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.