Genomic instability in lower-grade glioma: Prediction of prognosis based on lncRNA and immune infiltration
| العنوان: | Genomic instability in lower-grade glioma: Prediction of prognosis based on lncRNA and immune infiltration |
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| المؤلفون: | Fucun Xie, Chang Han, Fuquan Zhang, Kai Kang, Xin Lian, Junyu Long, Yi Bai, Yijun Wu |
| المصدر: | Molecular Therapy: Oncolytics, Vol 22, Iss, Pp 431-443 (2021) Molecular Therapy Oncolytics |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Genome instability, Oncology, Cancer Research, medicine.medical_specialty, medicine.medical_treatment, Germline mutation, Immune system, Glioma, Internal medicine, Medicine, Pharmacology (medical), RC254-282, lower-grade glioma, long non-coding RNA, business.industry, immune infiltration, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Immunotherapy, Nomogram, immune checkpoint blockade, medicine.disease, genomic instability, Long non-coding RNA, Immune checkpoint, Molecular Medicine, Original Article, prognosis, business |
| الوصف: | Glioma is the most common type of primary malignant tumor in the central nervous system. Tumor recurrence and progression are common in lower-grade glioma (LGG). Immune checkpoint blockade (ICB), as an emerging immunotherapy, is expected to improve the prognosis of patients undergoing conventional treatment, but it currently performs poorly in glioma. We divided patients into genome-stable and -unstable groups according to the somatic mutation count and then found that the expression of CDC20 was positively correlated with genomic instability. We compared the differences in long non-coding RNA (lncRNA) expression and immune infiltration between the two groups. Five lncRNAs and three immune cell types were identified to construct risk models and a nomogram combing clinical features. Through internal and external validation, the models exhibited sufficient ability to predict the prognosis and the possible response to ICB therapy of patients. This study provided a potential predictive approach for the precise application of ICB and support for improving the prognosis of LGG patients. Graphical abstract This study analyzed the genomic instability in lower-grade glioma from the perspective of long non-coding RNA and immune infiltration. Related risk models and a nomogram were constructed and validated to accurately predict patients’ survival outcomes and responses to immune checkpoint blockade therapy. |
| تدمد: | 2372-7705 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86811b9e4ce7bed9da65927bd001e3c7Test https://pubmed.ncbi.nlm.nih.gov/34553030Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....86811b9e4ce7bed9da65927bd001e3c7 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23727705 |
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