Evidence map›Paper›PMID 26613016›Full record

ArticleGigaScience2015

Multi-platform microRNA profiling of hepatoblastoma patients using formalin fixed paraffin embedded archival samples.

Anna L Leichter, Rachel V Purcell, Michael J Sullivan, Michael R Eccles, Aniruddha Chatterjee

Abstract readDataset
In one paragraph

Article in GigaScience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. A MicroRNA Cluster in theFrontiers in oncology · 2020
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  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
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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

5 authors.

Anna L LeichterDepartment of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 913, Dunedin, 9054 New Zealand.
Rachel V PurcellChildren's Cancer Research Group, University of Otago, Christchurch, New Zealand.
Michael J SullivanRoyal Children's Hospital, Melbourne, VIC Australia.
Michael R EcclesDepartment of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 913, Dunedin, 9054 New Zealand ; Maurice Wilkins Centre for Molecular Biodiscovery, Level 2, 3A Symonds Street, Auckland, New Zealand.
Aniruddha ChatterjeeDepartment of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 913, Dunedin, 9054 New Zealand ; Maurice Wilkins Centre for Molecular Biodiscovery, Level 2, 3A Symonds Street, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFormalin fixed paraffin embedded (FFPE) samples are a valuable resource in cancer research and have the potential to be extensively used. However, they are often underused because of degradation and chemical modifications occurring in the RNA that can present obstacles in downstream analysis. In routine medical care, FFPE material is examined and archived, therefore clinical collections of many types of cancers exist. It is beneficial to assess and record the quality of data that can be obtained from this type of material. The current study investigated three independent platforms and their ability to profile microRNAs (miRNAs) within FFPE samples from hepatoblastoma (HB) patients.

findingsHere we present three types of datasets consisting of miRNA profiles for 13 HB patients with different tumour types and molecular variations. The three platforms that were used to generate these data are: next-generation sequencing (Illumina MiSeq), microarray (Affymetrix(®) GeneChip(®) miRNA 3.0 array) and NanoString (nCounter, Human v2 miRNA Assay). The mature miRNAs identified are based on miRBase version 17 and 18.

conclusionsThese datasets provide a global landscape of miRNA expression for a rare childhood cancer that has not previously been well characterised. These data could serve as a resource for future studies aiming to make comparisons of HB miRNA profiles and to document aberrant miRNA expression in this type of cancer.

Indexed as

MicroRNAsGene Expression ProfilingHepatoblastomaHigh-Throughput Nucleotide SequencingHumansLiver NeoplasmsParaffin EmbeddingTissue FixationMicroRNAsEpigeneticsFFPEHepatoblastomaMicroarraymiRNANanoStringNext-generation sequencingRNA expression

Identifiers

PMID26613016
PMCPMC4660849

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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.