ArticleCommunications biology2025
Comprehensive multimodal and multiomic profiling reveals epigenetic and transcriptional reprogramming in lung tumors.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Mitochondrial mechanisms underlying spatial immune phenotypes in non‑small cell lung cancer: Implications for ICI response and cold‑to‑hot tumor conversion (Review).Oncology reports · 2026Review
- SLA2 is Associated With Immune evasion and Exhaustion of CD8Journal of cellular and molecular medicine · 2026Article
- Prenatal and postnatal effects of gestational immune activation on synaptic and neurodevelopmental pathways via epigenetic mechanisms.Translational psychiatry · 2026Article
- Perinatal morphine exposure induces chromatin and transcriptomic remodeling to alter immune and metabolic function.Frontiers in immunology · 2026Article
- Computational assessment of the relationship between metabolism and histone methylation in cancer cells.PloS one · 2026Article
- Histone methyltransferase SMYD1: playing a crucial role in disease progression.Frontiers in molecular biosciences · 2026Review
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7 authors.
Funding
Abstract
Epigenomic mechanisms are critically involved in mediation of genetic and environmental factors that underlie cancer development. Histone modifications represent highly informative epigenomic marks that reveal activation and repression of gene activities and dysregulation of transcriptional control due to tumorigenesis. Here, we present a comprehensive epigenomic and transcriptomic mapping of 18 stage I and II tumor and 20 non-neoplastic tissues from non-small cell lung adenocarcinoma patients. Our profiling covers 5 histone marks including activating (H3K4me3, H3K4me1, and H3K27ac) and repressive (H3K27me3 and H3K9me3) marks and the transcriptome using only 20 mg of tissue per sample, enabled by low-input omic technologies. Using advanced integrative bioinformatic analysis, we uncover cancer-driving signaling cascade networks, changes in 3D genome modularity, differential expression and functionalities of transcription factors and noncoding RNAs. Many of these identified genes and regulatory molecules show no significant change in their expression or a single epigenomic modality, emphasizing the power of integrative multimodal and multiomic analysis using patient samples.
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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 Socratic graph.