ArticleNature biotechnology2022
Estimation of tumor cell total mRNA expression in 15 cancer types predicts disease progression.
Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 74 citations in OpenAlex.
- Article
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- Spi-1 proto-oncogene regulates mRNA hypertranscription and malignant progression in head and neck cancer.Signal transduction and targeted therapy · 2026Article
- Tumor microenvironment transcriptional activity enables robust stratification of chemotherapy response in triple-negative breast cancer.Cell reports. Medicine · 2026Article
- A guide to transcriptomic deconvolution in cancer.Nature reviews. Cancer · 2026Review
- Deciphering RNA and protein expression discordance identifies TOP2A as a prognostic biomarker and potential therapeutic target in lung adenocarcinoma.Discover oncology · 2026Article
- Knowledge-guided graph fusion of mRNA profiles for interpretable cancer subtyping.Briefings in functional genomics · 2026Article
- Tumor Extracellular Vesicle Digital Scoring Assays for Cancer Detection and Monitoring.Precision chemistry · 2025Review
- Pan-cancer immune and stromal deconvolution predicts clinical outcomes and mutation profiles.Scientific reports · 2025Article
- Cancer gene identification from RNA variant allelic frequencies using RVdriver.Genome biology · 2025Article
- 20 years of stemness: From stem cells to hypertranscription and back.Stem cell reports · 2025Review
- Unleashing the potential of mRNA: Overcoming delivery challenges with nanoparticles.Bioengineering & translational medicine · 2025Review
- A Melanoma Brain Metastasis CTC Signature and CTC:B-cell Clusters Associate with Secondary Liver Metastasis: A Melanoma Brain-Liver Metastasis Axis.Cancer research communications · 2025Article
- A deconvolution framework that uses single-cell sequencing plus a small benchmark data set for accurate analysis of cell type ratios in complex tissue samples.Genome research · 2025Article
- Pan-cancer analysis of co-inhibitory molecules revealing their potential prognostic and clinical values in immunotherapy.Frontiers in immunology · 2025Article
- Pan-cancer association of a mitochondrial function score with genomic alterations and clinical outcome.Scientific reports · 2024Article
- RNA Polymerase II hypertranscription at histone genes in cancer FFPE samples.bioRxiv : the preprint server for biology · 2024Article
- Cell type-specific weighting-factors to solve solid organs-specific limitations of single cell RNA-sequencing.PLoS genetics · 2024Article
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Authors and funding
40 authors at 8 institutions in 7 countries.
Funding
Abstract
Single-cell RNA sequencing studies have suggested that total mRNA content correlates with tumor phenotypes. Technical and analytical challenges, however, have so far impeded at-scale pan-cancer examination of total mRNA content. Here we present a method to quantify tumor-specific total mRNA expression (TmS) from bulk sequencing data, taking into account tumor transcript proportion, purity and ploidy, which are estimated through transcriptomic/genomic deconvolution. We estimate and validate TmS in 6,590 patient tumors across 15 cancer types, identifying significant inter-tumor variability. Across cancers, high TmS is associated with increased risk of disease progression and death. TmS is influenced by cancer-specific patterns of gene alteration and intra-tumor genetic heterogeneity as well as by pan-cancer trends in metabolic dysregulation. Taken together, our results indicate that measuring cell-type-specific total mRNA expression in tumor cells predicts tumor phenotypes and clinical outcomes.
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