ArticleFrontiers in oncology2020
Prognostic Nomogram for Childhood Acute Lymphoblastic Leukemia: A Comprehensive Analysis of 673 Patients.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A novel prognostic nomogram for adult acute lymphoblastic leukemia: a comprehensive analysis of 321 patients.Annals of hematology · 2023Trial
- Clinical Outcome and Prognostic Factors in Childhood Acute Lymphoblastic Leukemia-A Retrospective Cohort Study of Patients from Southern Mexico.Journal of clinical medicine · 2026Article
- Distinct Immunophenotypes in the DNA Index-Based Stratification of Pediatric B-Cell Acute Lymphoblastic Leukemia.Cancers · 2024Article
- Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma.Journal of translational medicine · 2023Article
- A scoring system based on fusion genes to predict treatment outcomes of the non-acute promyelocytic leukemia pediatric acute myeloid leukemia.Frontiers in medicine · 2023Article
- Article
- Construction and validation of a novel gene signature for predicting the prognosis of osteosarcoma.Scientific reports · 2022Article
- A Nomogram for Predicting Event-Free Survival in Childhood Acute Lymphoblastic Leukemia: A Multicenter Retrospective Study.Frontiers in oncology · 2022Article
- Article
- Landscape and Clinical Significance of Immune Checkpoint in Cutaneous Melanoma.Frontiers in immunology · 2021Article
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Authors and funding
7 authors.
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Abstract
objectiveDespite that the survival rate in childhood acute lymphoblastic leukemia (cALL) is excellent, subsets of high-risk patients with cALL still have high relapse rates, and the cure rate is well below that for which we should aim. The present study aims to construct a prognostic nomogram to better inform clinical practitioners and improve risk stratification for clinical trials.
methodsThe developed nomogram was based on the therapeutically applicable research to generate effective treatment (TARGET) database. With this database, we obtained 673 cALL patients with complete clinical information. We identified and integrated significant prognostic factors to build the nomogram model by univariate and multivariate Cox analysis. The predictive accuracy and discriminative ability of the nomogram were determined by the concordance index (C-index), calibration curve, and area under the receiver operating characteristic (ROC) curve (AUC) of ROC analysis. Internal validations were assessed by the bootstrapping validation.
resultsIn the multivariate analysis of the primary cohort, the independent factors for survival were ETV6 RUNX1 fusion status, karyotype, minimal residual disease (MRD) at day 29, and DNA index, which were all integrated into the nomogram. The calibration curve for the probability of survival showed good agreement between the prediction by the nomogram and the actual observation. The C-index of the nomogram for predicting survival was 0.754 (95% CI, 0.715-0.793), and the AUCs for 3-, 5-, and 7-year survival were 0.775, 0.776, and 0.772, respectively.
conclusionWe comprehensively evaluated the risk of clinical factors associated with prognosis and carried out risk stratification. The nomogram proposed in this study objectively and accurately predicted the prognosis of children with ALL.
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