A prognostic survival model based on metabolism-related gene expression in plasma cell myeloma
| Autor: | Robert Peter Gale, Xiao-Li Wei, Liang Li, Yun Wang, Huan-xin Lin, Yang Liang, Weida Wang, Han-Ying Huang, Ling-Ling Shu, Qian-yi Zhang, Juan Li, Jinyuan Li |
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| Rok vydání: | 2021 |
| Předmět: |
Male
0301 basic medicine Oncology Cancer Research medicine.medical_specialty Antineoplastic Agents Cohort Studies 03 medical and health sciences 0302 clinical medicine Internal medicine Plasma Cell Myeloma Biomarkers Tumor medicine Humans Related gene Survival analysis Aged Proportional hazards model business.industry Area under the curve Hematology Nomogram Prognosis Confidence interval Gene Expression Regulation Neoplastic Survival Rate Nomograms 030104 developmental biology 030220 oncology & carcinogenesis Cohort Metabolome Female Multiple Myeloma business Follow-Up Studies |
| Zdroj: | Leukemia. 35:3212-3222 |
| ISSN: | 1476-5551 0887-6924 |
| Popis: | Accurate survival prediction of persons with plasma cell myeloma (PCM) is challenging. We interrogated clinical and laboratory co-variates and RNA matrices of 1040 subjects with PCM from public datasets in the Gene Expression Omnibus database in training (N = 1) and validation (N = 2) datasets. Genes regulating plasma cell metabolism correlated with survival were identified and seven used to build a metabolic risk score using Lasso Cox regression analyses. The score had robust predictive performance with 5-year survival area under the curve (AUCs): 0.71 (95% confidence interval, 0.65, 0.76), 0.88 (0.67, 1.00) and 0.64 (0.57, 0.70). Subjects in the high‐risk training cohort (score > median) had worse 5-year survival compared with those in the low‐risk cohort (62% [55, 68%] vs. 85% [80, 90%]; p |
| Databáze: | OpenAIRE |
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