ReviewJournal of Cancer2018
Gene Expression Detection Assay for Cancer Clinical Use.
Review in Journal of Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.
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.
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.
Who cites it
66 citing papers in PubMed, 140 citations in OpenAlex.
- The Enigmatic Tumor Suppressor p53 Biomolecule: Its Role and Prognostic and Predictive Values in Cancer Therapy and Precision Medicine.Biomolecules · 2026Review
- DADA-EV: domain-adaptive diffusion autoencoder for estimating tissue- and cell-type-specific origin in extracellular vesicle transcriptomes.Briefings in bioinformatics · 2026Article
- Diagnostic accuracy of combinatorial mRNA biomarkers for non-invasive detection and therapy monitoring of oral and oropharyngeal SCC.British journal of cancer · 2026Article
- Analysis of the role of RNA regulatory networks in cancer treatment: Mechanisms, applications and future prospects (Review).Molecular and clinical oncology · 2025Review
- In-silico investigation reveals microbial metabolic biomarkers and their regulatory roles in hormone sensitive cancers.Journal, genetic engineering & biotechnology · 2025Article
- Interpretable graph Kolmogorov-Arnold networks for multi-cancer classification and biomarker identification using multi-omics data.Scientific reports · 2025Article
- Review
- Emerging Roles of Long Non-Coding RNAs in Cardiovascular Diseases.Journal of cellular and molecular medicine · 2025Review
- The effect of storage time and temperature on the proteomic analysis of FFPE tissue sections.Clinical proteomics · 2025Article
- Detecting antibiotic resistance: classical, molecular, advanced bioengineering, and AI-enhanced approaches.Frontiers in microbiology · 2025Review
- Cancer genomics and bioinformatics in Latin American countries: applications, challenges, and perspectives.Frontiers in oncology · 2025Review
- Identification of a distinctive immunogenomic gene signature in stage-matched colorectal cancer.Journal of cancer research and clinical oncology · 2024Article
- The effect of novel β-lactam derivatives synthesized from substituted phenethylamines on resistance genes of MRSA isolates.The Journal of antibiotics · 2024Article
- Challenges and opportunities in processing NanoString nCounter data.Computational and structural biotechnology journal · 2024Review
- Engineering with Biomedical Sciences Changing the Horizon of Healthcare-A Review.Bioengineered · 2024Review
- Uncovering the ceRNA Network Related to the Prognosis of Stomach Adenocarcinoma Among 898 Patient Samples.Biochemical genetics · 2024Article
- Comparative Analysis of Gene Expression Analysis Methods for RNA in Situ Hybridization Images.The Journal of molecular diagnostics : JMD · 2024Article
- A brief clinical genetics review: stepwise diagnostic processes of a monogenic disorder-hypertriglyceridemia.Translational pediatrics · 2024Review
- Does the Presence of Heavy Metals Influence the Gene Expression and Oxidative Stress in Bladder Cancer?Biological trace element research · 2024Article
- Changes in the Expression of Genes Regulating the Response to Hypoxia, Inflammation, Cell Cycle, Apoptosis, and Epithelial Barrier Functioning during Colitis-Associated Colorectal Cancer Depend on Individual Hypoxia Tolerance.International journal of molecular sciences · 2024Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is a genetic disease where genetic variations cause abnormally functioning genes that appear to alter expression. Proteins, the final products of gene expression, determine the phenotypes and biological processes. Therefore, detecting gene expression levels can be used for cancer diagnosis, prognosis, and treatment prediction in a clinical setting. In this review, we investigated six gene expression assay systems (qRT-PCR, DNA microarray, nCounter, RNA-Seq, FISH, and tissue microarray) that are currently being used in clinical cancer studies. Some of these methods are also commonly used in a modified way; for example, detection of DNA content or protein expression. Herein, we discuss their principles, sample preparation, design, quantification and sensitivity, data analysis, time for sample preparation and processing, and cost. We also compared these methods according to their sample selection, particularly for the feasibility of using formalin-fixed paraffin-embedded (FFPE) samples, which are routinely archived for clinical cancer studies. We intend to provide a guideline for choosing an assay method with respect to its oncological applications in a clinical setting.
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What OpenQuestion holds
Registered trials
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.