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Tumor microenvironment immune-related lncRNA signature for patients with melanoma
Jia-Hui Guo1, Shan-Shan Yin1, Hua Liu2
1Department of Oncology, Shanghai 9th People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background:
The incidence of malignant melanoma accounts for only approximately 5% of skin malignant tumors, however, it accounts for 75% of its mortality. Long-chain non-coding RNA (lncRNA) has a wide range of functional activities. Disorders of lncRNAs may lead to the occurrence and development of melanoma, and may also be related to immunotherapy.
Methods:
The transcriptomic data of primary and metastatic melanoma patients and 331 immune-related genes were downloaded from skin cutaneous melanoma (SKCM) in the The Cancer Genome Atlas (TCGA) database. On this basis, 460 immunologically relevant lncRNAs were identified by constructing a co-expression network of immunogenic genes and lncRNAs in primary and metastatic melanoma patients. Prognostic genes were screened using univariate Cox regression analysis. ROC analysis was performed to evaluate the robustness of the prognostic signature.
Results:
Univariate correlation analysis showed that only 3 of the 23 immune-related lncRNAs were at high risk and the rest were at low risk. Signatures of 7 immune-related lncRNAs were identified by multivariate correlation analysis. The clinical correlation analysis showed that the 7 immune-related lncRNAs were associated with the clinical stage of primary and metastatic melanoma. Principal component analysis (PCA) showed that only 7 immune-related lncRNA signals divided tumor patients into high-risk and low-risk groups, while the low-risk group was enriched in the immune system process M13664 and immune response M19817 sets. PPI interaction network analysis showed that 11 G protein-coupled receptors and 6 corresponding ligands in the 2 gene sets affected the tumor microenvironment and were negatively related to the risk of the 7 immune-related lncRNAs. The tumor microenvironment immune cell infiltration analysis also supported the finding that anti-tumor immunity in the low-risk group was stronger than in the high-risk group.
Conclusions:
These results indicate that characteristics of the 7 immune-related lncRNAs have prognostic value for melanoma patients and can be used as potential immunotherapy targets.
Insights
Seven immune-related long-chain non-coding RNAs (lncRNAs) show prognostic value in melanoma, potentially serving as immunotherapy targets. These lncRNAs influence tumor microenvironment and immune cell infiltration, distinguishing high-risk from low-risk patients.
Area of Science:
- Oncology
- Genetics
- Immunology
Background:
- Malignant melanoma, though rare, causes significant mortality.
- Long-chain non-coding RNAs (lncRNAs) play roles in melanoma development and immunotherapy.
Purpose of the Study:
- To identify immune-related lncRNAs with prognostic value in melanoma.
- To explore the potential of these lncRNAs as immunotherapy targets.
Main Methods:
- Utilized The Cancer Genome Atlas (TCGA) SKCM transcriptomic data.
- Constructed co-expression networks to identify 460 immunologically relevant lncRNAs.
- Screened prognostic lncRNAs using Cox regression and ROC analysis.
Main Results:
- Identified a signature of 7 immune-related lncRNAs associated with melanoma clinical stage.
- These lncRNAs stratified patients into high-risk and low-risk groups.
- Low-risk group showed enhanced anti-tumor immunity and immune cell infiltration.
Conclusions:
- The 7 immune-related lncRNAs possess prognostic value for melanoma.
- These lncRNAs represent potential therapeutic targets for melanoma immunotherapy.
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