Evidence map›Paper›PMID 25806219›Full record

ReviewTranslational lung cancer research2013

Comprehensive molecular screening: from the RT-PCR to the RNA-seq.

Carlota Costa, Ana Giménez-Capitán, Niki Karachaliou, Rafael Rosell

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
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  3. Review
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  10. Review
  11. Article
  12. Monitoring Cultured Rat Hepatocytes Using RNA-Seq In Vitro.International journal of molecular sciences · 2023
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Oxidative Stress and the Role of NADPH Oxidase in Glaucoma.Antioxidants (Basel, Switzerland) · 2021
    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

4 authors.

Carlota CostaBreakthrough Cancer Research Unit, Pangaea Biotech S.L, USP Dexeus University Institute, Barcelona, Spain ;
Ana Giménez-CapitánBreakthrough Cancer Research Unit, Pangaea Biotech S.L, USP Dexeus University Institute, Barcelona, Spain ;
Niki KarachaliouBreakthrough Cancer Research Unit, Pangaea Biotech S.L, USP Dexeus University Institute, Barcelona, Spain ;
Rafael RosellBreakthrough Cancer Research Unit, Pangaea Biotech S.L, USP Dexeus University Institute, Barcelona, Spain ; ; Catalan Institute of Oncology, Hospital Germans Trias i Pujol, Ctra. de Can Ruti s/n. 08916 Badalona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Up to now, the analysis of the mRNA expression in tumoral and non-tumoral has been conducted via RT-PCR. It is considered to be the gold standard for measuring the number of copies of specific cDNA targets. The application of RT-PCR has demonstrated that levels of RNA transcripts stratify patients and predict outcomes in a variety of diseases, providing the basis for several important clinical tests. However, the inherent variability in the quality of any quantitative PCR data makes it difficult to replicate and the analysis is time consuming in the laboratory for the analysis of one gene. Moreover, comparing expression levels across different experiments is often difficult and can require complicated normalization methods. Many techniques have been developed over the years but without good clinical applications. A new, simple and effective way to measure transcriptome composition and to discover new exons or genes is by the RNA-seq. Some advantages of this technique are high reproducibility, the large dynamic range, requirement of less sample RNA, and the ability to detect novel transcripts, alternative splicing, even in the absence of a sequenced genome. However, this RNA-Seq technique will not likely replace current RT-PCR methods, but will be complementary depending on the needs and the resources of the clinic and the laboratory as the results of the RNA-Seq will identify those genes that need to then be examined using RT-PCR methods. The application of the two complementary technologies in the routine analysis of cancer laboratories would be useful in characterizing patients and would assist oncologists in making clinical decisions, as it allows us to identify all molecular characteristics of the tumor.

Indexed as

Molecular screeningmRNA expressionRNA-seqRT-PCR

Identifiers

PMID25806219
PMCPMC4369859

What OpenQuestion holds

Textmetadata
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.