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Integrated Analysis of the Transcriptome Profile Reveals the Potential Roles Played by Long Noncoding RNAs in
Boran Pang1,2, Yongqiang Hao1,2
1Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background:
Long-term survival is still low for high-risk patients with soft tissue sarcoma treated with standard management options, including surgery, radiation, and chemotherapy. Immunotherapy is a promising new potential treatment paradigm. However, the application of immune checkpoint inhibitors for the treatment of patients with sarcoma did not yield promising results in a clinical trial. Therefore, there is a considerable need to identify factors that may lead to immune checkpoint inhibitor resistance.
Methods:
In this study, we performed a bioinformatic analysis of The Cancer Genome Atlas (TCGA) to detect key long noncoding RNAs (lncRNAs) that were correlated with immune checkpoint inhibitory molecules in sarcoma. The expression levels of these lncRNAs and their correlation with patient prognosis were explored. The upstream long noncoding RNAs were also examined via 450K array data from the TCGA. The potential roles of these lncRNAs were further examined via KEGG and GO analysis using DAVID online software. Finally, the relationship between these lncRNAs and immune cell infiltration in tumors and their effect on immune checkpoint inhibitors were further explored.
Results:
We identified lncRNAs correlated with tumor cell immune evasion in sarcoma. The expression of these lncRNAs was upregulated and correlated with worse prognosis in sarcoma and other human cancer types. Moreover, low DNA methylation occupation of these lncRNA loci was detected. Negative correlations between DNA methylation and lncRNA expression were also found in sarcoma and other human cancer types. KEGG and GO analyses indicated that these lncRNAs correlated with immune evasion and negative regulation of the immune response in sarcoma. Finally, high expression of these lncRNAs correlated with more suppressive immune cell infiltration and reduced sensitivity to immune checkpoint inhibitors in sarcoma and other human cancer types.
Conclusion:
Our results suggest that long noncoding RNAs confer immune checkpoint inhibitor resistance in human cancer. Further characterization of these lncRNAs may help to elucidate the mechanisms underlying immune checkpoint inhibitor resistance and uncover a novel therapeutic intervention point for immunotherapy.
Insights
Long noncoding RNAs (lncRNAs) drive immune checkpoint inhibitor resistance in sarcoma by promoting immune evasion. Targeting these lncRNAs may improve immunotherapy effectiveness for cancer patients.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Standard treatments for high-risk soft tissue sarcoma show limited long-term survival.
- Immune checkpoint inhibitors (ICIs) have shown limited efficacy in sarcoma clinical trials.
- Identifying resistance mechanisms to ICIs is crucial for improving sarcoma treatment.
Purpose of the Study:
- To identify key long noncoding RNAs (lncRNAs) associated with immune checkpoint inhibitory molecules in sarcoma.
- To explore the correlation between lncRNA expression, patient prognosis, and immune evasion.
- To investigate the potential of lncRNAs as therapeutic targets for overcoming ICI resistance.
Main Methods:
- Bioinformatic analysis of The Cancer Genome Atlas (TCGA) data.
- Examination of lncRNA expression levels and their correlation with prognosis.
- KEGG and GO analysis to determine the functional roles of identified lncRNAs.
- Analysis of DNA methylation and immune cell infiltration associated with lncRNAs.
Main Results:
- Upregulated lncRNAs correlated with immune evasion and worse prognosis in sarcoma and other cancers.
- Low DNA methylation at lncRNA loci was observed, negatively correlating with lncRNA expression.
- High lncRNA expression was linked to increased suppressive immune cell infiltration and reduced sensitivity to ICIs.
Conclusions:
- lncRNAs contribute to immune checkpoint inhibitor resistance in human cancers, including sarcoma.
- These lncRNAs represent potential therapeutic targets for enhancing immunotherapy efficacy.
- Further research into lncRNA mechanisms can guide novel treatment strategies for immunotherapy resistance.
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