Characterization of Immune-Related Long Non-coding RNAs to Construct a Novel Signature and Predict the Prognosis and Immune Landscape of Soft Tissue Sarcoma
Background: Increasing evidence has demonstrated that immune-related long non-coding RNAs (irlncRNAs) are critically involved in tumor initiation and progression and associated with the prognosis of various cancers. However, their role in soft tissue sarcoma (STS) remains significantly uninvestigate...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021-09-01
|
| Series: | Frontiers in Cell and Developmental Biology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcell.2021.709241/full |
| _version_ | 1818904593767071744 |
|---|---|
| author | Zhengjun Lin Zhengjun Lin Ke Pang Hongli Li Xianghong Zhang Jia Wan Tao Zheng Tang Liu Weijun Peng |
| author_facet | Zhengjun Lin Zhengjun Lin Ke Pang Hongli Li Xianghong Zhang Jia Wan Tao Zheng Tang Liu Weijun Peng |
| author_sort | Zhengjun Lin |
| collection | DOAJ |
| description | Background: Increasing evidence has demonstrated that immune-related long non-coding RNAs (irlncRNAs) are critically involved in tumor initiation and progression and associated with the prognosis of various cancers. However, their role in soft tissue sarcoma (STS) remains significantly uninvestigated.Materials and Methods: Gene expression profiles were extracted from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) for the identification of irlncRNAs. Univariate analysis and modified least absolute shrinkage and selection operator (LASSO) penalized regression analysis were employed to determine differently expressed irlncRNA (DEirlncRNA) pairs of prognostic value, and subsequently, a risk signature based on DEirlncRNA pairs was established. Furthermore, Kaplan–Meier analysis and the area under the receiver operating characteristic curve (AUC) were used to assess survival differences and the predictive accuracy of the risk signature, respectively. Lastly, the correlation of irlncRNAs with immune characteristics and chemosensitivity in patients with STS were further investigated.Results: A total of 1088 irlncRNAs were identified, and 311 irlncRNAs were distinguished as DEirlncRNAs. A total of 130 DEirlncRNA pairs were further identified as prognostic markers, and 14 pairs were selected for establishing a risk signature. The irlncRNA-based risk signature functioned as an independent prognostic marker for STS. Compared with the patients in the high-risk group, those in the low-risk group exhibited a better prognosis and were more sensitive to several chemotherapeutic agents. In addition, the irlncRNA-based risk signature was significantly associated with immune scores, infiltrating immune cells, and the expression of several immune checkpoints.Conclusion: In conclusion, our data revealed that the irlncRNA-based risk signature resulted in reliable prognosis, effectively predicted the immune landscape of patients with STS and was significantly correlated with chemosensitivity, thus providing insights into the potential role of irlncRNAs as prognostic biomarkers and novel therapeutic targets for STS. |
| first_indexed | 2024-12-19T21:09:55Z |
| format | Article |
| id | doaj.art-c6d5113b6a5f417cb488e6f2fad93376 |
| institution | Directory Open Access Journal |
| issn | 2296-634X |
| language | English |
| last_indexed | 2024-12-19T21:09:55Z |
| publishDate | 2021-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cell and Developmental Biology |
| spelling | doaj.art-c6d5113b6a5f417cb488e6f2fad933762022-12-21T20:05:31ZengFrontiers Media S.A.Frontiers in Cell and Developmental Biology2296-634X2021-09-01910.3389/fcell.2021.709241709241Characterization of Immune-Related Long Non-coding RNAs to Construct a Novel Signature and Predict the Prognosis and Immune Landscape of Soft Tissue SarcomaZhengjun Lin0Zhengjun Lin1Ke Pang2Hongli Li3Xianghong Zhang4Jia Wan5Tao Zheng6Tang Liu7Weijun Peng8Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, ChinaXiangya School of Medicine, Central South University, Changsha, ChinaDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, ChinaBackground: Increasing evidence has demonstrated that immune-related long non-coding RNAs (irlncRNAs) are critically involved in tumor initiation and progression and associated with the prognosis of various cancers. However, their role in soft tissue sarcoma (STS) remains significantly uninvestigated.Materials and Methods: Gene expression profiles were extracted from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) for the identification of irlncRNAs. Univariate analysis and modified least absolute shrinkage and selection operator (LASSO) penalized regression analysis were employed to determine differently expressed irlncRNA (DEirlncRNA) pairs of prognostic value, and subsequently, a risk signature based on DEirlncRNA pairs was established. Furthermore, Kaplan–Meier analysis and the area under the receiver operating characteristic curve (AUC) were used to assess survival differences and the predictive accuracy of the risk signature, respectively. Lastly, the correlation of irlncRNAs with immune characteristics and chemosensitivity in patients with STS were further investigated.Results: A total of 1088 irlncRNAs were identified, and 311 irlncRNAs were distinguished as DEirlncRNAs. A total of 130 DEirlncRNA pairs were further identified as prognostic markers, and 14 pairs were selected for establishing a risk signature. The irlncRNA-based risk signature functioned as an independent prognostic marker for STS. Compared with the patients in the high-risk group, those in the low-risk group exhibited a better prognosis and were more sensitive to several chemotherapeutic agents. In addition, the irlncRNA-based risk signature was significantly associated with immune scores, infiltrating immune cells, and the expression of several immune checkpoints.Conclusion: In conclusion, our data revealed that the irlncRNA-based risk signature resulted in reliable prognosis, effectively predicted the immune landscape of patients with STS and was significantly correlated with chemosensitivity, thus providing insights into the potential role of irlncRNAs as prognostic biomarkers and novel therapeutic targets for STS.https://www.frontiersin.org/articles/10.3389/fcell.2021.709241/fullsoft tissue sarcomasimmune-related lncRNAsprognostic signatureimmune microenvironmentchemosensitivity |
| spellingShingle | Zhengjun Lin Zhengjun Lin Ke Pang Hongli Li Xianghong Zhang Jia Wan Tao Zheng Tang Liu Weijun Peng Characterization of Immune-Related Long Non-coding RNAs to Construct a Novel Signature and Predict the Prognosis and Immune Landscape of Soft Tissue Sarcoma Frontiers in Cell and Developmental Biology soft tissue sarcomas immune-related lncRNAs prognostic signature immune microenvironment chemosensitivity |
| title | Characterization of Immune-Related Long Non-coding RNAs to Construct a Novel Signature and Predict the Prognosis and Immune Landscape of Soft Tissue Sarcoma |
| title_full | Characterization of Immune-Related Long Non-coding RNAs to Construct a Novel Signature and Predict the Prognosis and Immune Landscape of Soft Tissue Sarcoma |
| title_fullStr | Characterization of Immune-Related Long Non-coding RNAs to Construct a Novel Signature and Predict the Prognosis and Immune Landscape of Soft Tissue Sarcoma |
| title_full_unstemmed | Characterization of Immune-Related Long Non-coding RNAs to Construct a Novel Signature and Predict the Prognosis and Immune Landscape of Soft Tissue Sarcoma |
| title_short | Characterization of Immune-Related Long Non-coding RNAs to Construct a Novel Signature and Predict the Prognosis and Immune Landscape of Soft Tissue Sarcoma |
| title_sort | characterization of immune related long non coding rnas to construct a novel signature and predict the prognosis and immune landscape of soft tissue sarcoma |
| topic | soft tissue sarcomas immune-related lncRNAs prognostic signature immune microenvironment chemosensitivity |
| url | https://www.frontiersin.org/articles/10.3389/fcell.2021.709241/full |
| work_keys_str_mv | AT zhengjunlin characterizationofimmunerelatedlongnoncodingrnastoconstructanovelsignatureandpredicttheprognosisandimmunelandscapeofsofttissuesarcoma AT zhengjunlin characterizationofimmunerelatedlongnoncodingrnastoconstructanovelsignatureandpredicttheprognosisandimmunelandscapeofsofttissuesarcoma AT kepang characterizationofimmunerelatedlongnoncodingrnastoconstructanovelsignatureandpredicttheprognosisandimmunelandscapeofsofttissuesarcoma AT honglili characterizationofimmunerelatedlongnoncodingrnastoconstructanovelsignatureandpredicttheprognosisandimmunelandscapeofsofttissuesarcoma AT xianghongzhang characterizationofimmunerelatedlongnoncodingrnastoconstructanovelsignatureandpredicttheprognosisandimmunelandscapeofsofttissuesarcoma AT jiawan characterizationofimmunerelatedlongnoncodingrnastoconstructanovelsignatureandpredicttheprognosisandimmunelandscapeofsofttissuesarcoma AT taozheng characterizationofimmunerelatedlongnoncodingrnastoconstructanovelsignatureandpredicttheprognosisandimmunelandscapeofsofttissuesarcoma AT tangliu characterizationofimmunerelatedlongnoncodingrnastoconstructanovelsignatureandpredicttheprognosisandimmunelandscapeofsofttissuesarcoma AT weijunpeng characterizationofimmunerelatedlongnoncodingrnastoconstructanovelsignatureandpredicttheprognosisandimmunelandscapeofsofttissuesarcoma |