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Comprehensive multimodal and multiomic profiling reveals epigenetic and transcriptional reprogramming in lung tumors

  • 0Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, 92093, USA.
Communications Biology +

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March 31, 2025

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March 31, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study maps epigenomic and transcriptomic changes in early-stage lung adenocarcinoma. Integrative analysis reveals key molecular networks and regulatory molecules crucial for cancer development, highlighting the power of multiomic approaches.

Area Of Science

  • Cancer Research
  • Epigenetics
  • Genomics
  • Transcriptomics
  • Molecular Biology

Background

  • Epigenomic mechanisms, including histone modifications, are crucial in mediating genetic and environmental factors in cancer development.
  • Histone marks reveal gene activity (activation/repression) and transcriptional dysregulation during tumorigenesis.
  • Non-small cell lung adenocarcinoma (NSCLC) development involves complex genetic and epigenetic alterations.

Purpose Of The Study

  • To perform a comprehensive epigenomic and transcriptomic mapping of early-stage (I and II) non-small cell lung adenocarcinoma (NSCLC) tissues.
  • To identify cancer-driving signaling cascades, 3D genome changes, and regulatory molecules (transcription factors, noncoding RNAs) involved in tumorigenesis.
  • To emphasize the utility of integrative, multimodal, and multiomic analyses in understanding complex diseases like lung cancer.

Main Methods

  • Profiling of 5 key histone modifications (H3K4me3, H3K4me1, H3K27ac, H3K27me3, H3K9me3) and the transcriptome.
  • Utilized low-input omic technologies, requiring only 20 mg of tissue per sample.
  • Employed advanced integrative bioinformatic analysis to combine epigenomic and transcriptomic data.

Main Results

  • Uncovered cancer-driving signaling cascade networks and alterations in 3D genome organization.
  • Identified differential expression and functionality of transcription factors and noncoding RNAs.
  • Revealed that many key genes and regulatory molecules do not show significant changes in single epigenomic or expression modalities.

Conclusions

  • Integrative multimodal and multiomic analysis is powerful for uncovering subtle yet critical molecular changes in cancer.
  • The study provides a comprehensive molecular landscape of early-stage NSCLC, identifying novel regulatory networks.
  • Findings underscore the importance of combining different omics data for a holistic understanding of cancer pathogenesis.