Machine learning for the micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in glioblastoma
Abstract Glioblastoma (GBM) is the most common primary intracranial tumor in the central nervous system, and resistance to temozolomide is an important reason for the failure of GBM treatment. We screened out that Solute Carrier Family 2 Member 10 (SLC2A10) is significantly highly expressed in GBM w...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-08-01
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| Series: | BMC Cancer |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12885-022-09972-9 |
| _version_ | 1811215484583936000 |
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| author | Lan Jiang Jianke Yang Qiancheng Xu Kun Lv Yunpeng Cao |
| author_facet | Lan Jiang Jianke Yang Qiancheng Xu Kun Lv Yunpeng Cao |
| author_sort | Lan Jiang |
| collection | DOAJ |
| description | Abstract Glioblastoma (GBM) is the most common primary intracranial tumor in the central nervous system, and resistance to temozolomide is an important reason for the failure of GBM treatment. We screened out that Solute Carrier Family 2 Member 10 (SLC2A10) is significantly highly expressed in GBM with a poor prognosis, which is also enriched in the NF-E2 p45-related factor 2 (NRF2) signalling pathway. The NRF2 signalling pathway is an important defence mechanism against ferroptosis. SLC2A10 related LINC02381 is highly expressed in GBM, which is localized in the cytoplasm/exosomes, and LINC02381 encoded micropeptides are localized in the exosomes. The micropeptide encoded by LINC02381 may be a potential treatment strategy for GBM, but the underlying mechanism of its function is not precise yet. We put forward the hypothesis: “The micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in GBM.” This study innovatively used machine learning for micropeptide to provide personalized diagnosis and treatment plans for precise treatment of GBM, thereby promoting the development of translational medicine. The study aimed to help find new disease diagnoses and prognostic biomarkers and provide a new strategy for experimental scientists to design the downstream validation experiments. |
| first_indexed | 2024-04-12T06:23:24Z |
| format | Article |
| id | doaj.art-1acb867cc2534fda99371220d0ffec00 |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-04-12T06:23:24Z |
| publishDate | 2022-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-1acb867cc2534fda99371220d0ffec002022-12-22T03:44:14ZengBMCBMC Cancer1471-24072022-08-0122111110.1186/s12885-022-09972-9Machine learning for the micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in glioblastomaLan Jiang0Jianke Yang1Qiancheng Xu2Kun Lv3Yunpeng Cao4Key Laboratory of Non-Coding RNA Transformation Research of Anhui Higher Education Institution, Yijishan Hospital of Wannan Medical CollegeSchool of Preclinical Medicine, Wannan Medical CollegeAnhui Provincial Clinical Research Center for Critical Respiratory DiseaseKey Laboratory of Non-Coding RNA Transformation Research of Anhui Higher Education Institution, Yijishan Hospital of Wannan Medical CollegeWuhan Botanical Garden, Chinese Academy of SciencesAbstract Glioblastoma (GBM) is the most common primary intracranial tumor in the central nervous system, and resistance to temozolomide is an important reason for the failure of GBM treatment. We screened out that Solute Carrier Family 2 Member 10 (SLC2A10) is significantly highly expressed in GBM with a poor prognosis, which is also enriched in the NF-E2 p45-related factor 2 (NRF2) signalling pathway. The NRF2 signalling pathway is an important defence mechanism against ferroptosis. SLC2A10 related LINC02381 is highly expressed in GBM, which is localized in the cytoplasm/exosomes, and LINC02381 encoded micropeptides are localized in the exosomes. The micropeptide encoded by LINC02381 may be a potential treatment strategy for GBM, but the underlying mechanism of its function is not precise yet. We put forward the hypothesis: “The micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in GBM.” This study innovatively used machine learning for micropeptide to provide personalized diagnosis and treatment plans for precise treatment of GBM, thereby promoting the development of translational medicine. The study aimed to help find new disease diagnoses and prognostic biomarkers and provide a new strategy for experimental scientists to design the downstream validation experiments.https://doi.org/10.1186/s12885-022-09972-9MicropeptideGlioblastomaSLC2A10LINC02381NRF2 |
| spellingShingle | Lan Jiang Jianke Yang Qiancheng Xu Kun Lv Yunpeng Cao Machine learning for the micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in glioblastoma BMC Cancer Micropeptide Glioblastoma SLC2A10 LINC02381 NRF2 |
| title | Machine learning for the micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in glioblastoma |
| title_full | Machine learning for the micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in glioblastoma |
| title_fullStr | Machine learning for the micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in glioblastoma |
| title_full_unstemmed | Machine learning for the micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in glioblastoma |
| title_short | Machine learning for the micropeptide encoded by LINC02381 regulates ferroptosis through the glucose transporter SLC2A10 in glioblastoma |
| title_sort | machine learning for the micropeptide encoded by linc02381 regulates ferroptosis through the glucose transporter slc2a10 in glioblastoma |
| topic | Micropeptide Glioblastoma SLC2A10 LINC02381 NRF2 |
| url | https://doi.org/10.1186/s12885-022-09972-9 |
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