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Updated: Aug 31, 2025

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
Published on: December 9, 2016
Multi-omics analysis reveals RNA splicing alterations and their biological and clinical implications in lung
Quanyou Wu1, Lin Feng1, Yaru Wang1
1State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Abstract:
Alternative RNA splicing is one of the most important mechanisms of posttranscriptional gene regulation, which contributes to protein diversity in eukaryotes. It is well known that RNA splicing dysregulation is a critical mechanism in tumor pathogenesis and the rationale for the promising splice-switching therapeutics for cancer treatment. Although we have a comprehensive understanding of DNA mutations, abnormal gene expression profiles, epigenomics, and proteomics in lung adenocarcinoma (LUAD), little is known about its aberrant alternative splicing profiles. Here, based on the multi-omics data generated from over 1000 samples, we systematically studied the RNA splicing alterations in LUAD and revealed their biological and clinical implications. We identified 3688 aberrant alternative splicing events (AASEs) in LUAD, most of which were alternative promoter and exon skip. The specific regulatory roles of RNA binding proteins, somatic mutations, and DNA methylations on AASEs were comprehensively interrogated. We dissected the functional implications of AASEs and concluded that AASEs mainly affected biological processes related to tumor proliferation and metastasis. We also found that one subtype of LUAD with a particular AASEs pattern was immunogenic and had a better prognosis and response rate to immunotherapy. These findings revealed novel events related to tumorigenesis and tumor immune microenvironment and laid the foundation for the development of splice-switching therapies for LUAD.
Insights
Researchers uncovered 3688 aberrant alternative splicing events (AASEs) in lung adenocarcinoma (LUAD), impacting tumor growth and metastasis. A specific splicing pattern in a LUAD subtype suggests it is immunogenic, offering better prognosis and immunotherapy response.
Area of Science:
- Molecular Biology
- Genomics
- Cancer Research
Background:
- Alternative RNA splicing is a key mechanism for posttranscriptional gene regulation and protein diversity.
- Dysregulation of RNA splicing is implicated in cancer development, driving the need for splice-switching therapeutics.
- While other molecular aspects of lung adenocarcinoma (LUAD) are well-studied, its alternative splicing profiles remain largely unexplored.
Purpose of the Study:
- To systematically investigate RNA splicing alterations in LUAD using multi-omics data.
- To reveal the biological and clinical implications of aberrant alternative splicing events (AASEs) in LUAD.
- To explore the potential of targeting splicing alterations for LUAD treatment.
Main Methods:
- Analysis of multi-omics data from over 1000 LUAD samples.
- Identification and characterization of aberrant alternative splicing events (AASEs).
- Interrogation of regulatory roles of RNA binding proteins, somatic mutations, and DNA methylation on AASEs.
Main Results:
- Identified 3688 AASEs in LUAD, predominantly alternative promoter and exon skipping events.
- Demonstrated that AASEs significantly affect biological processes crucial for tumor proliferation and metastasis.
- Discovered a LUAD subtype with a distinct AASEs pattern that exhibits immunogenicity, improved prognosis, and enhanced response to immunotherapy.
Conclusions:
- Aberrant alternative splicing plays a significant role in LUAD tumorigenesis and the tumor immune microenvironment.
- AASEs represent potential therapeutic targets for developing novel splice-switching strategies in LUAD.
- Findings provide a foundation for personalized medicine approaches in LUAD based on splicing profiles.
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