Prognostic significance of CNSL at diagnosis of childhood B-cell acute lymphoblastic leukemia: A report from the South China Children's Leukemia Group

A prognostic score system in adult T-cell acute lymphoblastic leukemia after hematopoietic stem cell transplantation

Adult T-cell acute lymphoblastic leukemia (T-ALL) is highly aggressive with poor prognoses, while hematopoietic stem cell transplantation (HSCT) is a curable option. However, no transplant-specific prognostic model for adult T-ALL is available. We identified 301 adult T-ALL patients who received HSCT at our hospital between 2010 and 2022. These patients were randomly assigned at a 7:3 ratio to a derivation group of 210 patients and a validation group of 91 patients. Next, we developed a prognostic risk score system for adult T-ALL with HSCT, which we named COMM, including 4 predictors (central nervous system involvement, Non-CR1 (CR2+ or NR) at HSCT, minimal residual disease (MRD) ≥ 0.01% after first induction therapy, and MRD ≥ 0.01% before HSCT). Patients were categorized into three risk groups, low-risk (0), intermediate-risk (1-4), and high-risk (5-12), and their 3-year overall survival (OS) were 87.5% (95%CI, 78-93%), 65.7% (95%CI, 53-76%) and 20% (95%CI, 10-20%; P < 0.001), respectively. The area under the subject operating characteristic curve for 2-, 3- or 5-year OS in the derivation cohort and in the validation cohort were all greater than 0.75. Based on internal validation, COMM score system proved to be a reliable prognostic model that could discriminate and calibrate well. We expect that the first prognostic model in adults T-ALL after HSCT can provide a reference of prognostic consultation for patients and families, and also contribute to future research to develop risk adapted interventions for high-risk populations.

PPARG, GNG12, and CD19 are potential independent predictors of central nerve recurrence in childhood acute lymphoblastic leukemia

OBJECTIVE

To identify biomarkers that can predict the recurrence of the central nervous system (CNS) in children with acute lymphoblastic leukemia (ALL).

MATERIALS AND METHODS

The transcriptome and clinical data of ALL in children were downloaded from the TARGET database. Transcriptome data were analyzed by bioinformatics method to identify core (hub) genes and establish a risk assessment model. Univariate Cox analysis was performed on each clinical data, and multivariate Cox regression analysis was performed on the obtained results and risk score. The children ALL phase I samples from TARGET database were used for validation.

RESULTS

Univariate multivariate Cox analysis of 10 hub genes identified showed that PPARG (HR = 0.78, 95%CI = 0.67-0.91, p = 0.007), CD19 (HR = 1.15, 95%CI = 1.05-1.26, p = 0.003) and GNG12 (HR = 1.25, 95%CI = 1.04-1.51, p = 0.017) had statistical differences. The risk score was statistically significant in univariate (HR = 3.06, 95%CI = 1.30-7.19, p = 0.011) and multivariate (HR = 1.81, 95%CI = 1.16-2.32, p = 0.046) Cox regression analysis. The survival analysis results of the high and low-risk groups were different when the validation dataset was substituted into the model (p = 0.018). Then, we constructed a Nomogram which had a concordance index of survival prediction of 0.791(95%CI= 0.779-0.803). In addition, the CNS involvement grading status at first diagnosis CNS3 vs. CNS1 (HR = 5.74, 95%CI = 2.01-16.4, p = 0.001), T cell vs B cell (HR = 1.63, 95% CI = 1.06-2.49, p = 0.026) were also statistically significant.

CONCLUSIONS

PPARG, GNG12, and CD19 may be predictors of CNS relapse in childhood ALL.

Poor outcome of pediatric B-cell acute lymphoblastic leukemia associated with high level of CRLF2 gene expression in distinct molecular subtypes

Background

Overexpression of the cytokine receptor-like factor 2 (CRLF2) gene is the most common feature in the Philadelphia chromosome (Ph)-like subtype of B-cell acute lymphoblastic leukemia (B-ALL). However, the predictive value of CRLF2 overexpression for the prognosis of pediatric B-ALL patients remain controversial. The molecular mechanisms that upregulate CRLF2 expression level in patients has not been fully elucidated.

Methods

In this study, the prognostic impact of CRLF2 expression level on molecular types of B-ALL in pediatric patients from Zhujiang Hospital (n = 111) was retrospectively analyzed. Youden index analysis was used to categorize CRLF2 expression into 3 groups, and these categories more precisely described the differences in the prognosis of patients with varying expression levels of CRLF2 in both the Zhujiang Hospital cohort and the TARGET cohort.

Results

We used the Zhujiang Hospital cohort as a discovery cohort to determine the cutoff value of CRLF2 expression. CRLF2-high patients accounted for approximately 6%. In addition, the percentage of bone marrow blast cells and initial white blood cell count in CRLF2-high patients were higher than those in CRLF2-low patients, and MRD turned negative slower. The results were validated in the TARGET cohort and indicated that CRLF2 overexpression could be subdivided by CRLF2 expression levels into 2 categories: CRLF2-high with a poor survival and CRLF2-medium with a good OS and EFS. Such heterogeneity was attributed to the different molecular mechanisms leading to CLRF2 upregulation, where the CRLF2 overexpression level was high in Ph-like B-ALL and medium in high hyperdiploid B-ALL.

Conclusion

This study highlights the importance of the molecular mechanisms of the upregulation of CRLF2 expression in predicting the prognosis of pediatric B-ALL patients.