Evidence map›Paper›PMID 35678677›Full record

ArticleCurrent issues in molecular biology2022

Whole-Transcriptome Profiling on Small FFPE Samples: Which Sequencing Kit Should Be Used?

Marc Hilmi, Lucile Armenoult, Mira Ayadi, Rémy Nicolle

Open access · goldAbstract read
In one paragraph

Article in Current issues in molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

4 authors at 2 institutions in 1 country.

Marc HilmiMolecular Oncology, PSL Research University, CNRS, UMR 144, Institut Curie, 75005 Paris, France.
Lucile ArmenoultProgramme Cartes D'Identité des Tumeurs (CIT), Ligue Nationale Contre le Cancer, 75013 Paris, France.
Mira AyadiProgramme Cartes D'Identité des Tumeurs (CIT), Ligue Nationale Contre le Cancer, 75013 Paris, France.
Rémy NicolleCentre de Recherche sur l'Inflammation (CRI), Université de Paris Cité, INSERM, U1149, CNRS, ERL 8252, 75018 Paris, France.ORCID 0000-0001-8084-1173
Centre National de la Recherche Scientifique · FRLa Ligue Contre le Cancer · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA sequencing (RNA-Seq) appears as a great tool with huge clinical potential, particularly in oncology. However, sufficient sample size is often a limiting factor and the vast majority of samples from patients with cancer are formalin-fixed paraffin-embedded (FFPE). To date, several sequencing kits are proposed for FFPE samples yet no comparison on low quantities were performed. To select the most reliable, cost-effective, and relevant RNA-Seq approach, we applied five FFPE-compatible kits (based on 3′ capture, exome-capture and ribodepletion approaches) using 8 ng to 400 ng of FFPE-derived RNA and compared them to Nanostring on FFPE samples and to a reference PolyA (Truseq) approach on flash-frozen samples of the same tumors. We compared gene expression correlations and reproducibility. The Smarter Pico V3 ribodepletion approach appeared systematically the most comparable to Nanostring and Truseq (p < 0.001) and was a highly reproducible technique. In comparison with exome-capture and 3′ kits, the Smarter appeared more comparable to Truseq (p < 0.001). Overall, our results suggest that the Smarter is the most robust RNA-Seq technique to study small FFPE samples and 3′ Lexogen presents an interesting quality−price ratio for samples with less limiting quantities.

Indexed as

formalin-fixed paraffin-embedded sampleslibrary preparationRNA sequencing

Identifiers

PMID35678677
PMCPMC9164037
OpenAlexW4280543134

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.