Evidence map›Paper›PMID 32414387›Full record

ArticleDiagnostic pathology2020

Comparison of skin biopsy sample processing and storage methods on high dimensional immune gene expression using the Nanostring nCounter system.

Jelena Vider, Andrew Croaker, Amanda J Cox, Emma Raymond, Rebecca Rogers, Stuart Adamson, Michael Doyle, Blake O'Brien, Allan W Cripps, Nicholas P West

Open access · goldAbstract readComparative Study
In one paragraph

Article in Diagnostic pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
  6. Review
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

10 authors at 6 institutions in 1 country.

Jelena ViderSchool of Medical Science and Menzies Health Institute QLD, Griffith University, Gold Coast, Queensland, 4222, Australia.
Andrew CroakerSchool of Health and Human Sciences, Southern Cross University, Lismore, NSW, Australia.
Amanda J CoxSchool of Medical Science and Menzies Health Institute QLD, Griffith University, Gold Coast, Queensland, 4222, Australia.
Emma RaymondWesley Medical Research, Auchenflower, QLD, Australia.
Rebecca RogersWesley Medical Research, Auchenflower, QLD, Australia.
Stuart AdamsonMid-West Aero Medical, Geraldton, Perth, Australia.
Michael DoyleWesley Medical Research, Auchenflower, QLD, Australia.
Blake O'BrienSullivan &Nicolaides Pathology, Bowen Hills, QLD, Australia.
Allan W CrippsSystems Biology and Data Science, Menzies Health Institute QLD, Griffith University, Gold Coast, Queensland, 4222, Australia.
Nicholas P WestSchool of Medical Science and Menzies Health Institute QLD, Griffith University, Gold Coast, Queensland, 4222, Australia. n.west@griffith.edu.au.
Griffith University · AUWesley Hospital · AUDepartment of the Premier and Cabinet · AUSouthern Cross University · AUSullivan Nicolaides Pathology · AUWesley Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital multiplex gene expression profiling is overcoming the limitations of many tissue-processing and RNA extraction techniques for the reproducible and quantitative molecular classification of disease. We assessed the effect of different skin biopsy collection/storage conditions on mRNA quality and quantity and the NanoString nCounter™ System's ability to reproducibly quantify the expression of 730 immune genes from skin biopsies.

methodsHealthy human skin punch biopsies (n = 6) obtained from skin sections from four patients undergoing routine abdominoplasty were subject to one of several collection/storage protocols, including: i) snap freezing in liquid nitrogen and transportation on dry ice; ii) RNAlater (ThermoFisher) for 24 h at room temperature then stored at - 80 °C; iii) formalin fixation with further processing for FFPE blocks; iv) DNA/RNA shield (Zymo) stored and shipped at room temperature; v) placed in TRIzol then stored at - 80 °C; vi) saline without RNAse for 24 h at room temperature then stored at - 80 °C. RNA yield and integrity was assessed following extraction via NanoDrop, QuantiFluor with RNA specific dye and a Bioanalyser (LabChip24, PerkinElmer). Immune gene expression was analysed using the NanoString Pancancer Immune Profiling Panel containing 730 genes.

resultsExcept for saline, all protocols yielded total RNA in quantities/qualities that could be analysed by NanoString nCounter technology, although the quality of the extracted RNA varied widely. Mean RNA integrity was highest from samples that were placed in RNALater (RQS 8.2 ± 1.15), with integrity lowest from the saline stored sample (RQS < 2). There was a high degree of reproducibility in the expression of immune genes between all samples with the exception of saline, with the number of detected genes at counts < 100, between 100 and 1000 and > 10,000 similar across extraction protocols.

conclusionsA variety of processing methods can be used for digital immune gene expression profiling in mRNA extracted from skin that are comparable to snap frozen skin specimens, providing skin cancer clinicians greater opportunity to supply skin specimens to tissue banks. NanoString nCounter technology can determine gene expression in skin biopsy specimens with a high degree of sensitivity despite lower RNA yields and processing methods that may generate poorer quality RNA. The increased sensitivity of digital gene expression profiling continues to expand molecular pathology profiling of disease.

Indexed as

RNA StabilityBiopsyGene Expression ProfilingHumansRNA, MessengerSkinSpecimen HandlingTissue PreservationRNA, MessengerImmune gene expressionNanostringPanCancer immune profiling panelSample processingSkin biopsy

Identifiers

PMID32414387
PMCPMC7229590
OpenAlexW3026736506

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.