ReviewNature reviews. Genetics2018
Cancer transcriptome profiling at the juncture of clinical translation.
Review in Nature reviews. Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
139 citing papers in PubMed.
- Integration of gene expression profiling and mutation analysis via RNA sequencing: transitioning the 95-gene classifier to a next-generation platform in early-stage HR+/HER2- breast cancer.Breast cancer (Tokyo, Japan) · 2026Article
- A self-adaptive and versatile tool for eliminating multiple undesirable variations from large-scale transcriptomes.Nature biomedical engineering · 2026Article
- Genomic innovations in cancer prevention, diagnosis, prognosis and precision therapeutics.Frontiers in genetics · 2026Review
- Non-invasive host transcriptome and HPV oncogene expression map the molecular landscape of HPV-driven cervical lesions.PloS one · 2026Article
- Multi-Omics Integration for Advancing Glioma Precision Medicine.Annals of clinical and translational neurology · 2026Review
- A promising frontier of circulating messenger RNA in liquid biopsy: From mechanisms to clinical applications.International journal of cancer · 2025Review
- Transcriptional patterns of cancer-related genes in primary and metastatic tumours revealed by machine learning.BMC biology · 2025Article
- Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers.Molecular systems biology · 2025Review
- Identification of Molecular Subtypes of B-Cell Acute Lymphoblastic Leukemia in Mexican Children by Whole-Transcriptome Analysis.International journal of molecular sciences · 2025Article
- First Transcriptome Analysis of Hepatoblastoma in Brazil: Unraveling the Pivotal Role of Noncoding RNAs and Metabolic Pathways.Biochemical genetics · 2025Article
- [Genetic profiling of parathyroid tumours: lifting the veil of mystery].Problemy endokrinologii · 2025Review
- Clinical Implementation of Expanded Solid Tumor Fusion Detection With Whole-Transcriptome Sequencing at an Academic Cancer Center.JCO precision oncology · 2025Article
- Review
- Taurine and proline promote lung tumour growth by co-regulating Azgp1/mTOR signalling pathway.NPJ precision oncology · 2025Article
- DHX9 helicase impacts on splicing decisions by modulating U2 snRNP recruitment in Ewing sarcoma cells.Nucleic acids research · 2025Article
- Distinct structural and functional heterochromatin partitioning of lamin B1 and lamin B2 revealed using genome-wide nicking enzyme epitope targeted DNA sequencing.Nucleic acids research · 2025Article
- Circulating biomarkers for diagnosis and response to therapies in cancer patients.International review of cell and molecular biology · 2025Review
- Recent Insights into the Angioregulatory Role of Long Non-coding RNAs and Circular RNAs in Gliomas: From Signaling Pathways to Clinical Aspects.Current medicinal chemistry · 2025Review
- Liquid biopsy in cancer management: Integrating diagnostics and clinical applications.Practical laboratory medicine · 2025Review
- Best holdout assessment is sufficient for cancer transcriptomic model selection.Patterns (New York, N.Y.) · 2024Article
79 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Methodological breakthroughs over the past four decades have repeatedly revolutionized transcriptome profiling. Using RNA sequencing (RNA-seq), it has now become possible to sequence and quantify the transcriptional outputs of individual cells or thousands of samples. These transcriptomes provide a link between cellular phenotypes and their molecular underpinnings, such as mutations. In the context of cancer, this link represents an opportunity to dissect the complexity and heterogeneity of tumours and to discover new biomarkers or therapeutic strategies. Here, we review the rationale, methodology and translational impact of transcriptome profiling in cancer.
Indexed as
Identifiers
29279605What Socratic 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 Socratic graph.