Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment
Abstract Objective Dysregulated lipid metabolism enhances the development and advancement of many cancers, including osteosarcoma (OS); however, the underlying mechanisms are still largely unknown. Therefore, this investigation aimed to elucidate novel potential lipid metabolism-related long non-cod...
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| Format: | Article |
| Language: | English |
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BMC
2023-05-01
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| Series: | BMC Medical Genomics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12920-023-01553-4 |
| _version_ | 1827939661953105920 |
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| author | Zhifang Tang Hanzhen Feng Longjun Shu Minzheng Guo Baochuang Qi Luqiao Pu Hongxin Shi Junxiao Ren Chuan Li |
| author_facet | Zhifang Tang Hanzhen Feng Longjun Shu Minzheng Guo Baochuang Qi Luqiao Pu Hongxin Shi Junxiao Ren Chuan Li |
| author_sort | Zhifang Tang |
| collection | DOAJ |
| description | Abstract Objective Dysregulated lipid metabolism enhances the development and advancement of many cancers, including osteosarcoma (OS); however, the underlying mechanisms are still largely unknown. Therefore, this investigation aimed to elucidate novel potential lipid metabolism-related long non-coding RNAs (lncRNAs) that regulate OS development and provide novel signatures for its prognosis and precise treatment. Materials and methods The GEO datasets (GSE12865 and GSE16091) were downloaded and analyzed using R software packages. Immunohistochemistry (IHC) was used to evaluate protein levels in OS tissues while real-time qPCR was used to measure lncRNA levels, and MTT assays were used to assess OS cell viability. Results Two lipid metabolism-associated lncRNAs (LM-lncRNAs), small nucleolar RNA host gene 17 (SNHG17) and LINC00837, were identified as efficient and independent prognostic indicators for OS. In addition, further experiments confirmed that SNHG17 and LINC00837 were significantly elevated in OS tissues and cells than para-cancerous counterparts. Knockdown of SNHG17 and LINC00837 synergistically suppressed the viability of OS cells, whereas overexpression of the two lncRNAs promoted OS cell proliferation. Moreover, bioinformatics analysis was conducted to construct six novel SNHG17-microRNA-mRNA competing endogenous RNA (ceRNA) networks, and three lipid metabolism-associated genes (MIF, VDAC2, and CSNK2A2) were found to be abnormally upregulated in OS tissues, suggesting that they were potential effector genes of SNHG17. Conclusion In summary, SNHG17 and LINC00837 were found to promote OS cell malignancy, suggesting their use as ideal biomarkers for OS prognosis and treatment. |
| first_indexed | 2024-03-13T08:58:36Z |
| format | Article |
| id | doaj.art-8d9a96f2c21c4deab19aa68fea7213e0 |
| institution | Directory Open Access Journal |
| issn | 1755-8794 |
| language | English |
| last_indexed | 2024-03-13T08:58:36Z |
| publishDate | 2023-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Genomics |
| spelling | doaj.art-8d9a96f2c21c4deab19aa68fea7213e02023-05-28T11:30:18ZengBMCBMC Medical Genomics1755-87942023-05-0116111410.1186/s12920-023-01553-4Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatmentZhifang Tang0Hanzhen Feng1Longjun Shu2Minzheng Guo3Baochuang Qi4Luqiao Pu5Hongxin Shi6Junxiao Ren7Chuan Li8Clinical Medical College of Dali UniversityClinical Medical College of Dali UniversityDepartment of Orthopedics, The First People’s Hospital of Dali CityDepartment of Orthopedics, Kunming Medical UniversityDepartment of Orthopedics, Kunming Medical UniversityDepartment of Orthopedics, The 920th Hospital of Joint Logistics Support Force of Chinese People’s Liberation ArmyClinical Medical College of Dali UniversityDepartment of Orthopedics, Yunnan University of Chinese MedicineDepartment of Orthopedics, The 920th Hospital of Joint Logistics Support Force of Chinese People’s Liberation ArmyAbstract Objective Dysregulated lipid metabolism enhances the development and advancement of many cancers, including osteosarcoma (OS); however, the underlying mechanisms are still largely unknown. Therefore, this investigation aimed to elucidate novel potential lipid metabolism-related long non-coding RNAs (lncRNAs) that regulate OS development and provide novel signatures for its prognosis and precise treatment. Materials and methods The GEO datasets (GSE12865 and GSE16091) were downloaded and analyzed using R software packages. Immunohistochemistry (IHC) was used to evaluate protein levels in OS tissues while real-time qPCR was used to measure lncRNA levels, and MTT assays were used to assess OS cell viability. Results Two lipid metabolism-associated lncRNAs (LM-lncRNAs), small nucleolar RNA host gene 17 (SNHG17) and LINC00837, were identified as efficient and independent prognostic indicators for OS. In addition, further experiments confirmed that SNHG17 and LINC00837 were significantly elevated in OS tissues and cells than para-cancerous counterparts. Knockdown of SNHG17 and LINC00837 synergistically suppressed the viability of OS cells, whereas overexpression of the two lncRNAs promoted OS cell proliferation. Moreover, bioinformatics analysis was conducted to construct six novel SNHG17-microRNA-mRNA competing endogenous RNA (ceRNA) networks, and three lipid metabolism-associated genes (MIF, VDAC2, and CSNK2A2) were found to be abnormally upregulated in OS tissues, suggesting that they were potential effector genes of SNHG17. Conclusion In summary, SNHG17 and LINC00837 were found to promote OS cell malignancy, suggesting their use as ideal biomarkers for OS prognosis and treatment.https://doi.org/10.1186/s12920-023-01553-4Long non-coding RNAOsteosarcomaLipid metabolismBioinformatics analysisCompeting endogenous RNA networks |
| spellingShingle | Zhifang Tang Hanzhen Feng Longjun Shu Minzheng Guo Baochuang Qi Luqiao Pu Hongxin Shi Junxiao Ren Chuan Li Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment BMC Medical Genomics Long non-coding RNA Osteosarcoma Lipid metabolism Bioinformatics analysis Competing endogenous RNA networks |
| title | Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment |
| title_full | Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment |
| title_fullStr | Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment |
| title_full_unstemmed | Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment |
| title_short | Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment |
| title_sort | identification of two novel lipid metabolism related long non coding rnas snhg17 and linc00837 as potential signatures for osteosarcoma prognosis and precise treatment |
| topic | Long non-coding RNA Osteosarcoma Lipid metabolism Bioinformatics analysis Competing endogenous RNA networks |
| url | https://doi.org/10.1186/s12920-023-01553-4 |
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