Comparative RNA-Seq Analysis Revealed Tissue-Specific Splicing Variations during the Generation of the PDX Model

Eun Ji Lee1, Seung-Jae Noh2, Huiseon Choi2

  • 1Department of Physiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Republic of Korea.

Insights

Patient-derived xenografts (PDX) show conserved RNA biotypes but altered splicing patterns, particularly skipped exons. Gastric cancer PDX models exhibit inverse gene correlations, impacting tumor integrity.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Tissue-specific gene expression dictates organ function and tumor characteristics.
  • Understanding how tissue specificity is maintained in patient-derived xenografts (PDX) is crucial for cancer research.
  • Immune-compromised mouse models are widely used for preclinical cancer studies.

Purpose of the Study:

  • To compare gene expression and splicing patterns between primary tumors and their corresponding patient-derived xenografts (PDX).
  • To assess the conservation of tissue-specific gene expression in PDX models.
  • To identify alterations in RNA splicing during the formation of PDX tumors.

Main Methods:

  • Comparative RNA-sequencing (RNA-seq) analysis of four primary-PDX tumor pairs.
  • Analysis of RNA biotype distribution and splicing patterns.
  • Correlation analysis of tissue-specific genes.
  • Splicing variant-specific RT-PCR validation.

Main Results:

  • Conserved RNA biotype distribution was observed between primary tumors and PDX.
  • Significant changes in splicing patterns, primarily skipped exons, were detected in PDX tumors.
  • Strong positive correlations in tissue-specific gene expression were found between primary and PDX pairs, except for gastric cancer.
  • Gastric cancer PDX models showed an inverse correlation in tissue-specific gene expression.

Conclusions:

  • PDX formation can lead to tissue-specific alterations in splicing events.
  • Splicing changes represent a variable factor affecting the integrity of primary-PDX relationships.
  • These findings highlight the importance of considering splicing alterations when interpreting PDX model data.