ReviewTranslational lung cancer research2013
Comprehensive molecular screening: from the RT-PCR to the RNA-seq.
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.
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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.
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.
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Who cites it
39 citing papers in PubMed.
- RNA-guided clarity: The potential for resolving variant uncertainty in clinical exome sequencing.Genetics in medicine open · 2026Article
- Hyaluronic acid promotes biomineralization of osteoblast-like cells - observations on two different barrier membranes.International journal of implant dentistry · 2025Article
- Emerging Techniques of Translational Research in Immuno-Oncology: A Focus on Non-Small Cell Lung Cancer.Cancers · 2025Review
- Prognostic Performance of the Next-Generation Sequencing-Based Multigene Assay in Early Breast Cancer Patients Treated According to the 21-Gene Assay Results.Cancer research and treatment · 2025Article
- Deep learning application in prediction of cancer molecular alterations based on pathological images: a bibliographic analysis via CiteSpace.Journal of cancer research and clinical oncology · 2024Article
- Expression of thermostable MMLV reverse transcriptase in Escherichia coli by directed mutation.AMB Express · 2024Article
- A comparison of the TempO-Seq and Affymetrix microarray platform using RTqPCR validation.BMC genomics · 2024Article
- Single-molecule RNA sizing enables quantitative analysis of alternative transcription termination.Nature communications · 2024Article
- Differential innate immune responses of human macrophages and bronchial epithelial cells againstmSphere · 2023Article
- Data Mining of Microarray Datasets in Translational Neuroscience.Brain sciences · 2023Review
- Article
- Monitoring Cultured Rat Hepatocytes Using RNA-Seq In Vitro.International journal of molecular sciences · 2023Article
- Review
- Sequence-Based Platforms for Discovering Biomarkers in Liquid Biopsy of Non-Small-Cell Lung Cancer.Cancers · 2023Review
- Prescreening of tumor samples for tumor-centric transcriptome analyses of lung adenocarcinoma.BMC cancer · 2022Article
- Expression of Codon-Optimized Gene Encoding Murine Moloney Leukemia Virus Reverse Transcriptase in Escherichia coli.The protein journal · 2022Article
- A Comparative View on Molecular Alterations and Potential Therapeutic Strategies for Canine Oral Melanoma.Veterinary sciences · 2021Review
- Re-evaluating experimental validation in the Big Data Era: a conceptual argument.Genome biology · 2021Article
- Adipose Tissue Gene Expression of Entire Male, Immunocastrated and Surgically Castrated Pigs.International journal of molecular sciences · 2021Article
- Oxidative Stress and the Role of NADPH Oxidase in Glaucoma.Antioxidants (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.