ArticleAging cell2019
A human tissue-specific transcriptomic analysis reveals a complex relationship between aging, cancer, and cellular senescence.
Article in Aging cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.
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Who cites it
101 citing papers in PubMed, 2 syntheses or guidelines pooled it, 154 citations in OpenAlex.
- The biomedical application of inorganic metal nanoparticles in aging and aging-associated diseases.Journal of advanced research · 2025Pooled it
- Cellular senescence and chronological age in various human tissues: A systematic review and meta-analysis.Aging cell · 2020Pooled it
- IL-1β/IL-6 inflammatory crosstalk drives DNA methylation and histone remodeling associated with cytokine induced senescence in luminal breast cancer.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Integration of proteomic aging clocks in a phase 2a clinical trial supports simultaneous geroprotective assessment.Nature biotechnology · 2026Article
- Tissue-Level Transcriptomic Entropy Reveals Organ-Specific Aging Patterns and Predicts Cancer Progression.Aging cell · 2026Article
- IDEAL-Age: an interpretable deep learning framework for single-cell resolution profiling of immunological aging.Genome biology · 2026Article
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- Metabolic Dysregulation of FC3 Fibrochondrocytes via MDH2 Promotes Intervertebral Disc Degeneration.Journal of cellular and molecular medicine · 2026Article
- Exploring molecular signatures of senescence with marker, an R Toolkit for evaluating gene sets as phenotypic markers.NAR genomics and bioinformatics · 2026Article
- Cellular state heterogeneity underlying sex differences in Alzheimer's disease based on single-cell transcriptome.Alzheimer's research & therapy · 2026Article
- HCCaging: a liver physiological aging-related biomarker for hepatocellular carcinoma diagnosis based on transcriptome data.npj aging · 2026Article
- Spatial Distribution of K13-Positive Airway Epithelial Cells in Idiopathic Pulmonary Fibrosis.Biomedicines · 2026Article
- Multi-cohort and single-cell profiling of aging genes reveals prognostic and therapeutic targets in breast cancer.iScience · 2026Article
- Single-Cell Profiling Across Immune Tissues and Organs Reveals Immunosenescence Signatures in Male Rhesus Monkeys.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Senescent Synovial Intimal Fibroblasts Aggravate Osteoarthritis by Regulating Macrophage Polarization and Chondrocyte Phenotype Through ANGPTL4-α5β1 Axis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Senescence profiling and biomarker identification in cell product based on adipose tissue-derived mesenchymal stromal cells.Stem cells translational medicine · 2026Article
- Aging reshapes the osteosarcoma ecosystem through immune dysfunction and tumor cell reprogramming.Cellular oncology (Dordrecht, Netherlands) · 2026Article
- Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Temporal single-cell analysis reveals age-associated delay in immune resolution after respiratory viral infection.bioRxiv : the preprint server for biology · 2025Article
41 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Aging is the biggest risk factor for cancer, but the mechanisms linking these two processes remain unclear. Using GTEx and TCGA data, we compared genes differentially expressed with age and genes differentially expressed in cancer among nine human tissues. In most tissues, aging and cancer gene expression pattern changed in the opposite direction. The exception was thyroid and uterus, where we found transcriptomic changes in the same direction in aging and in their corresponding cancers. The overlapping sets between genes differentially expressed with age and genes differentially expressed in cancer across tissues were enriched for several processes, mainly cell cycle and the immune system. Moreover, cellular senescence signatures, derived from a meta-analysis, changed in the same direction as aging in human tissues and in the opposite direction of cancer signatures. Therefore, transcriptomic changes in aging and in cellular senescence might relate to a decrease in cell proliferation, while cancer transcriptomic changes shift toward enhanced cell division. Our results highlight the complex relationship between aging and cancer and suggest that, while in general aging processes might be opposite to cancer, the transcriptomic links between human aging and cancer are tissue-specific.
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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.