Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade glioma
Abstract Purpose This study aimed to analyze the prognostic and diagnostic value of Lactate dehydrogenase A (LDHA) and solute carrier family 16 member 1 (SLC16A1) in low-grade gliomas (LGG). Methods Gene expression datasets for LGG were downloaded from The Cancer Genome Atlas (TCGA), Chinese Glioma...
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| Format: | Article |
| Language: | English |
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Springer
2025-08-01
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| Series: | Discover Oncology |
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| Online Access: | https://doi.org/10.1007/s12672-025-03297-2 |
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| author | Jingyi Huang Qishun Wang Zhijun Li Xuning Huang Wen Wang Jiao Liu |
| author_facet | Jingyi Huang Qishun Wang Zhijun Li Xuning Huang Wen Wang Jiao Liu |
| author_sort | Jingyi Huang |
| collection | DOAJ |
| description | Abstract Purpose This study aimed to analyze the prognostic and diagnostic value of Lactate dehydrogenase A (LDHA) and solute carrier family 16 member 1 (SLC16A1) in low-grade gliomas (LGG). Methods Gene expression datasets for LGG were downloaded from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and Gene Expression Omnibus (GEO) databases. The prognostic value of LDHA and SLC16A1 in LGG was analyzed using the survival package. Receiver operating characteristic (ROC) curves were drawn to evaluate the ability of the model to distinguish between patients with LGG and controls. Gene set enrichment analysis (GSEA) of single gene was utilized to explore the potential biological function of the two genes. The protein levels of LDHA and SLC16A1 were analyzed using the Human Protein Atlas database. LDHA and SLC16A1 expression was verified using real-time reverse transcription polymerase chain reaction. Finally, the effects of low SLC16A1 expression on the proliferation, migration, and invasion of LGG cells were investigated using CCK-8 and Transwell assays. Results LDHA was downregulated, and SLC16A1 was upregulated in LGG tissues compared to normal tissues in TCGA dataset. Kaplan–Meier (K–M) survival and ROC curves revealed that these two genes have potential prognostic and diagnostic performances. LDHA positively correlated with SLC16A1 in TCGA and CGGA cohorts. GSEA demonstrated that LDHA is involved in the chemokine and NOD-like receptor signaling pathways, whereas SLC16A1 is involved in the JAK-STAT and NOD-like receptor signaling pathways. Immunohistochemical profiles of LDHA and SLC16A1 were consistent with their mRNA expression levels. SLC16A1 overexpression and downregulation of LDHA have been validated in glioma cell lines. Additionally, low SLC16A1 expression inhibited the proliferation, migration, and invasion of glioma cells. Conclusion LDHA and SLC16A1 have potential prognostic and diagnostic values for LGG. Therefore, SLC16A1 may serve as a potential biomarker for the diagnosis and treatment of LGG. |
| format | Article |
| id | doaj-art-32d50244e001443cb04bd9a86c4bbfcd |
| institution | Kabale University |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-32d50244e001443cb04bd9a86c4bbfcd2025-08-20T04:03:02ZengSpringerDiscover Oncology2730-60112025-08-0116111610.1007/s12672-025-03297-2Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade gliomaJingyi Huang0Qishun Wang1Zhijun Li2Xuning Huang3Wen Wang4Jiao Liu5Human Anatomy and Histoembryology, Shandong Second Medical UniversityDepartment of Surgery, Changyi City Hospital of Traditional Chinese MedicineChangyi City Center for Disease Control and PreventionChangyi City Hospital of Traditional Chinese Medicine PharmacyDepartment of Internal Medicine, Changyi City Hospital of Traditional Chinese MedicineSchool of Basic Medicine Sciences, Shandong Second Medical UniversityAbstract Purpose This study aimed to analyze the prognostic and diagnostic value of Lactate dehydrogenase A (LDHA) and solute carrier family 16 member 1 (SLC16A1) in low-grade gliomas (LGG). Methods Gene expression datasets for LGG were downloaded from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and Gene Expression Omnibus (GEO) databases. The prognostic value of LDHA and SLC16A1 in LGG was analyzed using the survival package. Receiver operating characteristic (ROC) curves were drawn to evaluate the ability of the model to distinguish between patients with LGG and controls. Gene set enrichment analysis (GSEA) of single gene was utilized to explore the potential biological function of the two genes. The protein levels of LDHA and SLC16A1 were analyzed using the Human Protein Atlas database. LDHA and SLC16A1 expression was verified using real-time reverse transcription polymerase chain reaction. Finally, the effects of low SLC16A1 expression on the proliferation, migration, and invasion of LGG cells were investigated using CCK-8 and Transwell assays. Results LDHA was downregulated, and SLC16A1 was upregulated in LGG tissues compared to normal tissues in TCGA dataset. Kaplan–Meier (K–M) survival and ROC curves revealed that these two genes have potential prognostic and diagnostic performances. LDHA positively correlated with SLC16A1 in TCGA and CGGA cohorts. GSEA demonstrated that LDHA is involved in the chemokine and NOD-like receptor signaling pathways, whereas SLC16A1 is involved in the JAK-STAT and NOD-like receptor signaling pathways. Immunohistochemical profiles of LDHA and SLC16A1 were consistent with their mRNA expression levels. SLC16A1 overexpression and downregulation of LDHA have been validated in glioma cell lines. Additionally, low SLC16A1 expression inhibited the proliferation, migration, and invasion of glioma cells. Conclusion LDHA and SLC16A1 have potential prognostic and diagnostic values for LGG. Therefore, SLC16A1 may serve as a potential biomarker for the diagnosis and treatment of LGG.https://doi.org/10.1007/s12672-025-03297-2Lower-grade gliomaLDHASLC16A1PrognosisDiagnosis |
| spellingShingle | Jingyi Huang Qishun Wang Zhijun Li Xuning Huang Wen Wang Jiao Liu Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade glioma Discover Oncology Lower-grade glioma LDHA SLC16A1 Prognosis Diagnosis |
| title | Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade glioma |
| title_full | Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade glioma |
| title_fullStr | Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade glioma |
| title_full_unstemmed | Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade glioma |
| title_short | Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade glioma |
| title_sort | identification and validation of ldha and slc16a1 for predicting prognosis and diagnosis in lower grade glioma |
| topic | Lower-grade glioma LDHA SLC16A1 Prognosis Diagnosis |
| url | https://doi.org/10.1007/s12672-025-03297-2 |
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