{"title":"儿童急性淋巴细胞白血病13基因预后模型的建立与验证","authors":"L Luo, G Tan","doi":"10.4103/njcp.njcp_26_25","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Pediatric acute lymphoblastic leukemia (ALL) arises from B- or T-lineage lymphoid progenitors is the most common form of childhood cancer.</p><p><strong>Aim: </strong>This study aimed to develop a prognostic signature for overall survival (OS) in pediatric ALL patients.</p><p><strong>Methods: </strong>Pediatric ALL driver genes were used for LASSO-Cox regression to construct a prognostic model in a training cohort (GDC TARGET-ALL-P2, n = 103). The model's performance was assessed and validated in an independent cohort (GDC MP2PRT-ALL, n = 132).</p><p><strong>Results: </strong>Thirteen genes out of 367 potential driver genes associated with ALL were selected for model construction. In the training cohort, the model has AUC values of 0.73, 0.89, and 0.832 at 365, 1,095 and 1,825 days, respectively. High-risk patients had significantly worse OS (hazard Ratio, HR = 10.87, 95% CI: 5.93-19.95, P < 0.001). In the invalidation cohort, it has an AUC value of 0.82 at 365 days and an HR of 3.048 (95% CI: 1.780-5.219, P < 0.001).</p><p><strong>Conclusion: </strong>This study identifies a 13-gene signature as a promising tool for risk stratification in pediatric ALL.</p>","PeriodicalId":19431,"journal":{"name":"Nigerian Journal of Clinical Practice","volume":"28 8","pages":"946-954"},"PeriodicalIF":0.7000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and Validation of a Novel 13-Gene Prognostic Model for Pediatric Acute Lymphoblastic Leukemia.\",\"authors\":\"L Luo, G Tan\",\"doi\":\"10.4103/njcp.njcp_26_25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Pediatric acute lymphoblastic leukemia (ALL) arises from B- or T-lineage lymphoid progenitors is the most common form of childhood cancer.</p><p><strong>Aim: </strong>This study aimed to develop a prognostic signature for overall survival (OS) in pediatric ALL patients.</p><p><strong>Methods: </strong>Pediatric ALL driver genes were used for LASSO-Cox regression to construct a prognostic model in a training cohort (GDC TARGET-ALL-P2, n = 103). The model's performance was assessed and validated in an independent cohort (GDC MP2PRT-ALL, n = 132).</p><p><strong>Results: </strong>Thirteen genes out of 367 potential driver genes associated with ALL were selected for model construction. In the training cohort, the model has AUC values of 0.73, 0.89, and 0.832 at 365, 1,095 and 1,825 days, respectively. High-risk patients had significantly worse OS (hazard Ratio, HR = 10.87, 95% CI: 5.93-19.95, P < 0.001). In the invalidation cohort, it has an AUC value of 0.82 at 365 days and an HR of 3.048 (95% CI: 1.780-5.219, P < 0.001).</p><p><strong>Conclusion: </strong>This study identifies a 13-gene signature as a promising tool for risk stratification in pediatric ALL.</p>\",\"PeriodicalId\":19431,\"journal\":{\"name\":\"Nigerian Journal of Clinical Practice\",\"volume\":\"28 8\",\"pages\":\"946-954\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nigerian Journal of Clinical Practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4103/njcp.njcp_26_25\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nigerian Journal of Clinical Practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4103/njcp.njcp_26_25","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/30 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
摘要
背景:儿童急性淋巴细胞白血病(ALL)起源于B或t系淋巴细胞祖细胞,是儿童最常见的癌症。目的:本研究旨在开发儿科ALL患者总生存期(OS)的预后指标。方法:使用儿童ALL驱动基因进行LASSO-Cox回归,构建训练队列(GDC TARGET-ALL-P2, n = 103)的预后模型。该模型的性能在一个独立的队列(GDC MP2PRT-ALL, n = 132)中进行评估和验证。结果:从367个与ALL相关的潜在驱动基因中筛选出13个基因进行模型构建。在训练队列中,模型在365天、1095天和1825天的AUC值分别为0.73、0.89和0.832。高危患者的OS明显较差(风险比,HR = 10.87, 95% CI: 5.93 ~ 19.95, P < 0.001)。在无效队列中,365天的AUC值为0.82,HR为3.048 (95% CI: 1.780-5.219, P < 0.001)。结论:本研究确定了一个13基因标记作为儿科ALL风险分层的有希望的工具。
Development and Validation of a Novel 13-Gene Prognostic Model for Pediatric Acute Lymphoblastic Leukemia.
Background: Pediatric acute lymphoblastic leukemia (ALL) arises from B- or T-lineage lymphoid progenitors is the most common form of childhood cancer.
Aim: This study aimed to develop a prognostic signature for overall survival (OS) in pediatric ALL patients.
Methods: Pediatric ALL driver genes were used for LASSO-Cox regression to construct a prognostic model in a training cohort (GDC TARGET-ALL-P2, n = 103). The model's performance was assessed and validated in an independent cohort (GDC MP2PRT-ALL, n = 132).
Results: Thirteen genes out of 367 potential driver genes associated with ALL were selected for model construction. In the training cohort, the model has AUC values of 0.73, 0.89, and 0.832 at 365, 1,095 and 1,825 days, respectively. High-risk patients had significantly worse OS (hazard Ratio, HR = 10.87, 95% CI: 5.93-19.95, P < 0.001). In the invalidation cohort, it has an AUC value of 0.82 at 365 days and an HR of 3.048 (95% CI: 1.780-5.219, P < 0.001).
Conclusion: This study identifies a 13-gene signature as a promising tool for risk stratification in pediatric ALL.
期刊介绍:
The Nigerian Journal of Clinical Practice is a Monthly peer-reviewed international journal published by the Medical and Dental Consultants’ Association of Nigeria. The journal’s full text is available online at www.njcponline.com. The journal allows free access (Open Access) to its contents and permits authors to self-archive final accepted version of the articles on any OAI-compliant institutional / subject-based repository. The journal makes a token charge for submission, processing and publication of manuscripts including color reproduction of photographs.