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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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  9. Predictive And Prognostic Markers
  11. Single-cell Rna Sequencing And Spatial Transcriptome Reveal Potential Molecular Mechanisms Of Lung Cancer Brain Metastasis.
  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Single-cell Rna Sequencing And Spatial Transcriptome Reveal Potential Molecular Mechanisms Of Lung Cancer Brain Metastasis.

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Single-cell RNA sequencing and spatial transcriptome reveal potential molecular mechanisms of lung cancer brain metastasis.

Yujuan Xiao1, Fuyan Hu2, Qingjia Chi3

  • 1Department of Statistics, School of Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan 430070, China.

International Immunopharmacology
|July 30, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Researchers identified early metastatic epithelial cell clusters (EMEC) in lung cancer brain metastasis. These EMEC cells are linked to poor prognosis and show specific spatial distribution patterns, offering insights into metastasis mechanisms.

Keywords:
Brain metastases of lung cancerEpithelial cellsIntercellular communicationSpatial transcriptome

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Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Lung cancer frequently metastasizes to the brain, leading to poor patient outcomes.
  • Understanding the mechanisms of lung cancer brain metastasis is crucial for improving diagnosis and treatment.

Purpose of the Study:

  • To identify and characterize cell populations involved in lung cancer brain metastasis.
  • To elucidate the molecular mechanisms driving lung cancer brain metastasis.

Main Methods:

  • Analysis of single-cell RNA sequencing (scRNA-seq), bulk RNA sequencing, and spatial transcriptomics data.
  • Identification of early metastatic epithelial cell clusters (EMEC) using CNV and trajectory analysis.
  • Integration of scRNA-seq and spatial transcriptomics via Multimodal Intersection Analysis (MIA).
single-cell RNA sequencing

Main Results:

  • A distinct subpopulation of epithelial cells, termed EMEC, was identified in brain metastases.
  • EMEC cells are enriched in oxidative phosphorylation and coagulation pathways and communicate with immune cells.
  • EMEC presence correlates with poor clinical prognosis and exhibits a spatial shift during tumor invasion.

Conclusions:

  • This study provides novel insights into the molecular mechanisms of lung cancer brain metastasis.
  • Findings from single-cell and spatial transcriptomics offer a valuable clinical reference for detecting and managing brain metastases.