ReviewJournal of hematology & oncology2020
RNA sequencing: new technologies and applications in cancer research.
Review in Journal of hematology & oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 310 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.
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Who cites it
310 citing papers in PubMed.
- Systematic Analysis of Tumor Microenvironment Using IOBR.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Long-read sequencing reveals widespread novel splicing and neojunction-derived neoantigens in nasopharyngeal carcinoma.Genome research · 2026Article
- Decoding cell-cell communication in spatial transcriptomics: mechanistic insights, modeling constraints, and analytical caveats.Briefings in bioinformatics · 2026Review
- Bulk transcriptomics of peripheral blood mononuclear cells delineates systems-level immune dysregulation in pediatric dengue infection.NPJ systems biology and applications · 2026Article
- Single-cell transcriptomic analysis reveals cellular heterogeneity and prognostic subtypes in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- In silico generation of gene expression profiles using diffusion models.BMC bioinformatics · 2026Article
- Pre-implantation embryo metabolism identified by PEMA reveals endogenous lactate insufficiency contributes to pre-implantation development arrest.Fundamental research · 2026Article
- Single-cell transcriptomic landscape highlights epithelial-fibroblast interactions and CD44-mediated malignant traits in laryngeal squamous cell carcinoma.NPJ precision oncology · 2026Article
- Article
- A CREM-ITGA2B-MAPK axis drives proliferation and invasiveness in gastric cancer: insights from single-cell analysis.Cellular oncology (Dordrecht, Netherlands) · 2026Article
- Global scientific growth and thematic development of spatial transcriptomics in oncology research.Discover oncology · 2026Article
- Impact of next-generation sequencing on routine clinical practice and patient inclusion in molecularly targeted clinical trials: a retrospective cohort analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Diagnostic whole transcriptome sequencing in a series of 1233 FFPE solid tumor samples.British journal of cancer · 2026Article
- Single-cell and spatial profiling in cancer biology and clinical oncology.Nature cancer · 2026Review
- Review
- A protocol for high-quality single-cell RNA sequencing with cell surface protein quantification.Blood science (Baltimore, Md.) · 2026Article
- Transcriptomic and metabolomic insights into gabapentin's therapeutic role in neurogenic inflammation of rosacea.Communications biology · 2026Article
- thematicGO: A Keyword-Based Framework for Interpreting Gene Ontology Enrichment via Biological Themes.bioRxiv : the preprint server for biology · 2026Article
- Single-cell analysis reveals that MXRA8 affected the progression of breast cancer via regulating ferroptosis.Cancer cell international · 2026Article
- The double-positive cells in the tumor microenvironment.Journal of translational internal medicine · 2026Article
250 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past few decades, RNA sequencing has significantly progressed, becoming a paramount approach for transcriptome profiling. The revolution from bulk RNA sequencing to single-molecular, single-cell and spatial transcriptome approaches has enabled increasingly accurate, individual cell resolution incorporated with spatial information. Cancer, a major malignant and heterogeneous lethal disease, remains an enormous challenge in medical research and clinical treatment. As a vital tool, RNA sequencing has been utilized in many aspects of cancer research and therapy, including biomarker discovery and characterization of cancer heterogeneity and evolution, drug resistance, cancer immune microenvironment and immunotherapy, cancer neoantigens and so on. In this review, the latest studies on RNA sequencing technology and their applications in cancer are summarized, and future challenges and opportunities for RNA sequencing technology in cancer applications are discussed.
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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.