Evidence map›Paper›PMID 36415121›Full record

ArticleTechnology in cancer research & treatment

Gene Expression Profiling of FFPE Samples: A Titration Test.

Harshitha Shobha Manjunath, Moza Al Khulaifi, Heba Sidahmed, Adham Ammar, Jayakumar Vadakekolathu, Sergio Rutella, Muneera Jassim Al-Mohannadi, Mamoun Elawad, William Mifsud, Adrian Charles and 2 more

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Urinary miRNAs: Technical Updates.MicroRNA (Shariqah, United Arab Emirates) · 2024
    Review
  7. Article
  8. Article
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

12 authors.

Harshitha Shobha ManjunathOmics Core, Integrated Genomics Services, Research Department, 187187Sidra Medicine, Doha, Qatar.ORCID 0000-0001-6626-9254
Moza Al KhulaifiLaboratory of Immune and Biological Therapy, Research Department, 187187Sidra Medicine, Doha, Qatar.
Heba SidahmedLaboratory of Immune and Biological Therapy, Research Department, 187187Sidra Medicine, Doha, Qatar.
Adham AmmarDepartment of Pathology, 36977Hamad Medical Corporation, Doha, Qatar.
Jayakumar VadakekolathuJohn van Geest Cancer Research Centre, School of Science and Technology, 6122Nottingham Trent University, Nottingham, UK.
Sergio RutellaJohn van Geest Cancer Research Centre, School of Science and Technology, 6122Nottingham Trent University, Nottingham, UK.
Muneera Jassim Al-MohannadiDepartment of Gastroenterology and Hepatology, 36977Hamad Medical Corporation, Doha, Qatar.
Mamoun ElawadDepartment of Gastroenterology, 187187Sidra Medicine, Doha, Qatar.
William MifsudDepartment of Anatomical Pathology, 187187Sidra Medicine, Doha, Qatar.
Adrian CharlesDepartment of Anatomical Pathology, 187187Sidra Medicine, Doha, Qatar.
Cristina MaccalliLaboratory of Immune and Biological Therapy, Research Department, 187187Sidra Medicine, Doha, Qatar.ORCID 0000-0002-6737-4715
Sara TomeiOmics Core, Integrated Genomics Services, Research Department, 187187Sidra Medicine, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gene expression analysis of formalin-fixed paraffin-embedded (FFPE) tissues is often hampered by poor RNA quality, which results from the oxidation, cross-linking and other chemical modifications induced by the inclusion in paraffin. Yet, FFPE samples are a valuable source for molecular studies and can provide great insights into disease progression and prognosis. With the advancement of genomic technologies, new methods have been established that offer reliable and accurate gene expression workflows on samples of poor quality. NanoString is a probe-based technology that allows the direct counting of the mRNA transcripts and can be applied to degraded samples. Here, we have tested 2 RNA extraction methods for FFPE samples, and we have performed a titration experiment to evaluate the impact of RNA degradation and RNA input on the gene expression profiles assessed using the NanoString IO360 panel. We have selected FFPE samples of different DV200 values and assessed them on the nCounter platform with 2 different amounts of input RNA. This study concludes that the nCounter is a robust and reliable platform to assess the gene expression of RNA samples with DV200 > 30%; its robustness and ease of use could be of particular benefit to clinical settings.

Indexed as

Gene Expression ProfilingRNAHumansMicroarray AnalysisParaffin EmbeddingTissue FixationRNAFFPEgene expressionnCounterRNAtitration

Identifiers

PMID36415121
PMCPMC9706083

What OpenQuestion holds

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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.