Skip to main content

ORIGINAL RESEARCH article

Front. Oncol., 23 December 2022
Sec. Hematologic Malignancies

Prognostic significance of steroid response in pediatric acute lymphoblastic leukemia: The CCCG-ALL-2015 study

Jinhua Chu&#x;Jinhua Chu1†Huaju Cai&#x;Huaju Cai1†Jiaoyang Cai&#x;Jiaoyang Cai2†Xinni Bian&#x;Xinni Bian3†Yumei Cheng&#x;Yumei Cheng4†Xianmin Guan&#x;Xianmin Guan5†Xiaoqian ChenXiaoqian Chen6Hua JiangHua Jiang7Xiaowen ZhaiXiaowen Zhai8Yongjun FangYongjun Fang9Lei ZhangLei Zhang10Xin TianXin Tian11Fen ZhouFen Zhou12Yaqin WangYaqin Wang13Lingzhen WangLingzhen Wang14Hong LiHong Li15Leung Wing Kwan AlexLeung Wing Kwan Alex16Minghua YangMinghua Yang17Hanfang YangHanfang Yang18Aijun ZhanAijun Zhan19Ningling Wang*Ningling Wang1*Shaoyan Hu*Shaoyan Hu3*
  • 1Department of Hematology/Oncology, Pediatrics, the Second Hospital of Anhui Medical University, Hefei, China
  • 2Department of Hematology/Oncology, Shanghai Children’s Medical Center, Shanghai Jiaotong University of School of Medicine, Shanghai, China
  • 3Department of Hematology/Oncology, Children’s Hospital of Soochow University, Suzhou, China
  • 4Department of Pediatrics, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
  • 5Department of Hematology/Oncology, Children’s Hospital of Chongqing Medical University, Chongqing, China
  • 6Hematology/Oncology, West China Second Hospital of Sichuan University, Chengdu, China
  • 7Department of Hematology/Oncology, Guangzhou Women and Children Health Care Center, Guangzhou, China
  • 8Department of Hematology/Oncology, Children’s Hospital of Fudan University, Shanghai, China
  • 9Department of Hematology/Oncology, Nanjing Children’s Hospital Affiliated to Nanjing Medical University, Nanjing, China
  • 10Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou, China
  • 11Department of Hematology/Oncology, Kunming Children’s Hospital, Kunming, China
  • 12Department of Pediatrics, Huazhong University of Science and Technology Tongji Medical College Union Hospital, Wuhan, China
  • 13Department of Pediatrics, Huazhong University of Science and Technology Tongji Medical College Tongji Hospital, Wuhan, China
  • 14Department of Pediatrics, Affiliated Hospital of Qingdao University, Qingdao, China
  • 15Department of Hematology Oncology, Children’s Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China
  • 16Department of Pediatrics, The Chinese University of Hong Kong, Hong Kong Children’s Hospital, Hong Kong, China
  • 17Department of Pediatrics, Xiangya Hospital Central South University, Changsha, Hunan, China
  • 18Department of Hematology/Oncology, Northwest Women’s and Children’s Hospital, Xi’an, China
  • 19Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, China

Introduction: Whether steroid response is an independent risk factor for acute lymphoblastic leukemia (ALL) is controversial. This study aimed to investigate the relationship between response to dexamethasone and prognosis in children with ALL.

Methods: We analyzed the data of 5,161 children with ALL who received treatment in accordance with the Chinese Children’s Cancer Group ALL-2015 protocol between January 1, 2015, and December 31, 2018, in China. All patients received dexamethasone for 4 days as upfront window therapy. Based on the peripheral lymphoblast count on day 5, these patients were classified into the dexamethasone good response (DGR) and dexamethasone poor response (DPR) groups. A peripheral lymphoblast count ≥1× 109/L indicated poor response to dexamethasone.

Results: The age, white blood cell counts, prevalence of the BCR/ABL1 and TCF3/PBX1 fusion genes, and rates of recurrence in the central nervous system were higher in the DPR than in the DGR group (P<0.001). Compared to the DPR group, the DGR group had a lower recurrence rate (18.6% vs. 11%) and higher 6-year event-free survival (73% vs. 83%) and overall survival (86% vs. 92%) rates; nevertheless, subgroup analysis only showed significant difference in the intermediate-risk group (P<0.001).

Discussion: Response to dexamethasone was associated with an early treatment response in our study. In the intermediate-risk group, dexamethasone response added a prognostic value in addition to minimal residual disease, which may direct early intervention to reduce the relapse rate.

Introduction

Acute lymphocytic leukemia (ALL) is the most common malignancy among children and accounts for 25% of all childhood malignancies (1). Over the past 20 years, the event-free survival (EFS) and overall survival (OS) rates among pediatric patients with ALL have exceeded 80% and 90%, respectively (26). Currently, the known prognostic factors of ALL include the patient’s age, white blood cell (WBC) count at initial diagnosis, immunophenotype, extramedullary leukemia status,

tumor cytogenetic and biological characteristics, and treatment response (7). In the 1980s, the Berlin–Frankfurt–Munster (BFM) study group found that patients with a poor prednisone response had a poor prognosis (8). The D8 prednisone response was also included as an independent prognostic factor in the risk stratification criteria of the following: 1) the “Associazione Italiana di Ematologia Oncologia Pediatrica and the Berlin-Frankfurt-Münster Acute Lymphoblastic Leukemia” study in 2000, 2) the 2005 ALL program of the Shanghai Children’s Medical Center (SCMC-ALL-2005) protocol, and 3) the Chinese Children’s Leukemia Group (CCLG)-ALL-2008 protocol (9, 10). Good and poor responses were defined by the presence of <1 × 109/L or ≥1 × 109/L blasts in the blood, respectively, after a 7-day prednisone prophase (11).

In the CCLG-ALL-2008 trial, patients with a poor hormone response were included in the high-risk (HR) group. However, the EFS rate, recurrence rate, and time-to-recurrence did not differ significantly between children in the HR group with DGR and DPR. This indicated that the prednisone response had a limited prognostic value among patients in the HR group (10). Multivariate Cox regression analysis of the early treatment response and prognosis in the SCMC-ALL-2005 protocol indicated that the response to prednisone treatment had no significant effects on the prognosis (9). Thus, all of these studies have indicated that the prednisone response affects the prognosis only in some patients.

The protocol for the Chinese Children’s Cancer Group ALL-2015 (CCCG-ALL-2015) trial has been completed since 2 years and produced several achievements within a large cohort of children with ALL (1217). However, the role of dexamethasone on the prognosis has not been evaluated. The present study summarized the data of 5,161 children who were newly diagnosed with ALL and were assessed after a 4-day treatment with dexamethasone. The objectives of the current study were to determine whether there exists a correlation between response to dexamethasone and prognosis.

Materials and methods

Ethics and consent

This study was approved by the Central Institutional Review Board (Approval number: SCMCIRB-K2014060) and was performed in accordance with the Declaration of Helsinki and its later amendments. Written informed consent was obtained from parents, guardians, or patients.

CCCG-ALL-2015 trial and study design

The enrolled participants were children who were newly diagnosed with ALL between January 1, 2015, and December 31, 2018. Compared with prednisone, dexamethasone has a wider tissue distribution, better blood–brain barrier penetration, and a stronger anti-leukemia effect. The participants were exposed to dexamethasone (6 mg/m2 per day) during a 4-day treatment window. The immature lymphocyte count in the peripheral blood was assessed on day (d) 5. Early treatment responses were assessed using cytological findings of the bone marrow and the minimal residual disease (MRD) on d19 and d46 of induction therapy as the indicator for the risk stratification criteria. However, responses to dexamethasone in the treatment window were not considered early treatment responses or risk stratification criteria.

The study protocol included a central review of the MRD and major adverse events every 6 months, periodic internal and on-site monitoring, and external auditing to ensure protocol compliance and appropriate data management.

Participants

We enrolled patients who were aged 0–18 years, were newly diagnosed with ALL, and had at least completed induction chemotherapy. Patients with secondary malignancies or primary immunodeficiencies were not eligible for enrolment; only those with a history of steroid treatment for <3 days were allowed. A total of 5,161 children were eligible, including 3,067 boys and 2,094 girls (median age, 4.6 years; range, 42 days to 17 years). Among these, 4,698 and 463 patients had B-cell ALL (B-ALL) and T-cell ALL (T-ALL), respectively. Furthermore, a total of 2,650, 2,401, and 110 patients were classified as low-risk (LR), intermediate-risk (IR), and HR, respectively.

Dexamethasone response in the pretreatment phase

Traditionally, prednisone is used for window therapy in childhood ALL; yet, dexamethasone may have higher anti-leukemic potency, leading to fewer relapses and improved survival (10). In this study, the children received 6 mg/m2 of dexamethasone per day for 4 days (d1–d4). The peripheral lymphoblast count was assessed on d5. If the patient had a WBC count of ≥50 × 109/L on d0, 3 mg/m2 of dexamethasone was administered as additional dose. If the peripheral lymphoblast count on d5 was <1 × 109/L, the dexamethasone response was considered good, and if the count was ≥1 × 109/L, the dexamethasone response was considered poor.

Procedures

All patients received dexamethasone for 4–5 days as upfront window therapy, followed by remission induction. Specific schemes and risk stratification are shown in previously published articles (11, 1416).

Follow-up

The data were collected from our research center by designated personnel using an information collection form predesigned based on the protocol and entered into the pediatric ALL database within one month of ALL diagnosis. All patients were followed-up, and a follow-up observation form was completed at each follow-up examination. The follow-up information in the database was updated every 6 months. The last follow-up examination for this study was on July 31, 2021. A total of 62 patients were lost to follow-up before the study endpoint (event or death) was reached. The loss-to-follow-up rate was 1.20%. OS was defined as the time from the start of group-based treatment to death or last follow-up examination. EFS was defined as the time from the initial diagnosis to the occurrence of the first event (recurrence, death, or development of a second tumor) or the last follow-up examination. Withdrawal was defined as failure of patients to complete the treatment without the aggravation or recurrence of leukemia because the parents of the patients voluntarily refused treatment. Loss to follow-up was defined as failure to obtain follow-up information from patients who completed all treatments. This protocol was initiated on January 1, 2015 and ended on July 31, 2021. The median follow-up duration was 52.5 months (0.3–79.7 months).

Statistical methods

SPSS 20.0 software (IBM Corp., Armonk, NY, USA) was used to plot the Kaplan–Meier survival curves for the DGR and DPR groups. Survival curves for the two groups were compared using log-rank tests. Measurement data were compared using the independent sample rank-sum test. Count data are expressed as frequencies and percentages, and comparisons between groups were performed using the chi-square test or Fisher’s exact probability test. Joint effects and independent factors of poor treatment outcomes were analyzed using logistic regression. Statistical significance was set at P<0.05.

Results

In total, 5,161 children were assessed after they completed window treatment with dexamethasone. There were 4,010 patients in the DGR group (77.7%) and 1,151 in the DPR group (22.3%). The biological characteristics of the two groups are presented in Table 1 and Figure 1. Testicular involvement, mixed-lineage leukemia (MLL) rearrangement, and C-myc break-apart at the time of initial diagnosis were not significantly different between the two groups (P>0.05). Univariate analysis indicated a significant difference in age distribution between the two groups (P=0.013). Further analysis showed that the proportion of patients aged ≥10 years was significantly higher in the DPR than in the DGR group (P=0.01, a=0.017). In addition, the WBC count, sex composition, immunophenotype, risk, central nervous system (CNS) involvement, and genetic characteristics at the time of initial diagnosis were significantly different between the two groups. Compared to the DGR group, the DPR group included more patients with high WBC counts at the time of initial diagnosis (43.52% vs. 15%); a higher male-to-female ratio (P=0.008); a higher proportion of patients with T-lineage All (16.1% vs. 6.9%); a lower proportion of patients at LR (29.7% vs. 57.6%); a higher proportion of patients with BCR/ABL1 (7.04% vs. 3.34%), TCF3/PBX1 (7.65% vs. 4.44%), and PDGFRB fusion genes (0.7% vs. 0.17%); and a lower proportion of patients with EVT6/RUNX1 fusion genes (11.64%vs. 21.05%). Karyotypes between the two groups were significantly different (P<0.001), and the proportion of abnormal karyotypes was significantly higher in the DPR than in the DGR group (P<0.05, a=0.017). According to risk and sex analysis, male individuals were significantly predominant among intermediate-to-high-risk children than among children at LR (P=0.016).

TABLE 1
www.frontiersin.org

Table 1 Biological features of children with acute lymphoblastic leukemia according to dexamethasone response.

FIGURE 1
www.frontiersin.org

Figure 1 Flow chart of distribution.

Univariate analysis included factors, such as age, sex, initial WBC count, risk, and immunophenotype. There were obvious differences in the response to dexamethasone treatment. Multivariate analysis seen in Table 2 indicated that the WBC count (odds ratio, 3.207; 95% confidence interval, 2.714–3.791; P<0.001), age (P=0.007), and risk (P<0.001) were significantly different between the two groups, but there were no significant differences in sex (P=0.141) or immunophenotype (P=0.144).

TABLE 2
www.frontiersin.org

Table 2 Multivariate analysis of the clinical characteristics associated with dexamethasone response.

Early treatment response in the DGR and DPR groups

Table 3 provides data on the relationship between dexamethasone sensitivity and early treatment response. Bone marrow MRD on d19 and d46 of induction chemotherapy was significantly different between the two groups (P<0.001). On d19, the bone marrow MRD (D19MRD) in the DPR group was significantly higher than that in the DGR group, while the proportion of patients with MRD ≥10-2 was 32.9% in the DPR group and 14.1% in the DGR group. On day 46, the proportion of patients with a bone marrow MRD (D46MRD) ≥10-4 was 18.9% in the DPR group and 11.2% in the DGR group.

TABLE 3
www.frontiersin.org

Table 3 Minimal residual disease for children with acute lymphoblastic leukemia according to dexamethasone response.

Relationship between early treatment response and relapse in the two groups

As reported in Table 4, in the DGR group, LR children with D19MRD ≥10-3 or D46MRD ≥10-4 had a significantly higher recurrence rate than those in the other risk subgroups (P<0.05). IR children with D19MRD ≥10-4 or D46MRD ≥10-4 had a significantly higher recurrence rate than those in the other risk subgroups (P<0.05). In addition, intermediate-risk children with D19MRD ≥10-2 had a recurrence rate similar to that of children with 10-4 ≤D19MRD <10-3 and lower than that of children with 10-3 ≤D19MRD<10-2, a finding that might be associated with the extra course of CAT+ consolidation therapy (vincristine, VCR, 1.5 mg/m2 intravenously [IV] on d1, d8; Peg-Asp, 2000 U/m2 intramuscular on d1; cyclophosphamide, CTX, 1000 mg/m2 IV on d1; cytarabine, Ara-C, 50 mg/m2 IH q12h d1–7; 6-mp, 60 mg/m2 po on d1–7 in the former). Among the 62 children at HR, D19MRD and D46MRD were not significantly correlated with recurrence (P=1). In the DPR group, D19MRD and D46MRD were not significantly correlated with recurrence in patients at LR or HR (P>0.05). However, patients at IR with a D19MRD <10-4 or D46MRD <10-4 had a significantly lower recurrence rate than those in the other risk subgroups (P=0.013 and P<0.05, respectively). Patients at IR with D19MRD ≥10-2 had the highest recurrence rate compared to those at other risk subgroups. Children at IR with D19MRD <10-4 or D46MRD <10-2 in the DPR group had a more frequent recurrence rate than those in the DGR group (P<0.05). For patients at LR, there was no difference in the relationship between early treatment response and recurrence between the two groups.

TABLE 4
www.frontiersin.org

Table 4 Relationship between early treatment response and relapse in two groups.

Relationship between dexamethasone treatment response and recurrence

The overall recurrence rate in the DGR group was lower than that in the DPR group (11% vs. 18.6%). However, in the LR and HR patients, dexamethasone response was not associated with recurrence (P>0.1), while the patients at IR in the DGR group had a lower recurrence rate than that of those in the DPR group (P<0.05; Table 5).

TABLE 5
www.frontiersin.org

Table 5 Relationship between dexamethasone treatment response and recurrence.

Relationship between dexamethasone response and central nervous system relapse

Of the 1,151 patients in the DPR group, 51 (4.4%) had CNS relapse, and of the 4,010 patients in the DGR group, 76 (1.9%) had CNS relapse. As reported in Table 6, CNS3 and CNS2 lesions at the time of initial diagnosis as well as the first intrathecal injection had no effect on the later development of CNS relapse (P>0.1). However, the recurrence rate of CNS relapse was significantly higher in the DPR than in the DGR group (P<0.05), indicating that poor response to dexamethasone was a risk factor for recurrence of CNS relapse.

TABLE 6
www.frontiersin.org

Table 6 Relationship between central nervous system relapses and CNS3, CNS2 or the first intrathecal injection injury at the initial diagnosis.

Comparison of the 6-year EFS rate between the DGR and DPR groups

The DGR group compared with the DPR group had a significantly higher 6-year EFS rate (83% vs. 73%; P<0.05; Figure 2A). The 6-year EFS rate for IR children was approximately 80% in the DGR group, which was better than that in the DPR group (approximately 70%; P<0.05; Figure 2A1).

FIGURE 2
www.frontiersin.org

Figure 2 Kaplan–Meier analyses of the event-free survival and overall survival in the DGR and DPR groups. Panels (A, A1A3) indicate the event-free survival of all patients, patients at intermediate risk, patients at high risk, and patients at low risk, respectively. Panels (B, B1B3) indicate the overall survival of all patients, patients at intermediate risk, patients at high risk, and patients at low risk, respectively.

However, the 6-year EFS rates for children at LR were >85% in both groups, with no significant difference between the two groups (P=0.24; Figure 2A3), and the 6-year EFS rates for children at HR were not significantly different between the two groups (P=0.159; Figure 2A2).

Comparison of the 6-year OS rates between the DGR and DPR groups

The DGR group compared with DPR group had a significantly higher 6-year OS survival (92% vs. 86%, P<0.05; Figure 2B). The 6-year OS rates for children at IR were significantly different between the two groups (88% vs. 83%, P<0.05; Figure 2B1). However, the 6-year OS rates for children at HR and LR were not significantly different between the two groups (P>0.05; Figures 2B2, 2B3).

Discussion

In our study, the recurrence rate and the proportion of patients at IR were higher in the DPR than in the DGR group, which is consistent with the findings of previous trials (10, 11). Age distribution was significantly different between the DGR and DPR groups, with a significantly higher proportion of patients aged ≥10 years in the DPR than in the DGR group. The recurrence, 6-year EFS, and 6-year OS rates were not associated with dexamethasone response in patients at LR and HR, but only in those at IR, where both the EFS and OS rates at 6 years were better in the DGR than in the DPR group (P<0.001). Univariate analysis indicated that the male-to-female ratio in the DPR group was higher than that in the DGR group, perhaps because of the dominance of patients at IR and HR in the DPR group and the higher male-to-female ratio in the IR than that in the LR group. However, multivariate analysis showed no correlation between dexamethasone response and sex. This result is consistent with the result of the ALL-2008 protocol, in which prednisone response was not associated with sex but showed poorer response in older patients compared to younger patients (18).

Extramedullary leukemia is an indicator of poor prognosis. The NOPHO-ALL-92 and ALL-2000 trials found that compared with an initial diagnosis of leukemia with no CNS involvement, an initial diagnosis of CNS leukemia was more frequent in patients with T-ALL, hyperleukocytosis, and BCR/ABL fusion gene positivity (19). In our study, most of the patients with CNS involvement at the time of initial diagnosis had poor response to dexamethasone, and patients with poor response to dexamethasone had higher incidences of T-ALL, hyperleukocytosis, and BCR/ABL fusion gene positivity than that of patients with good response to dexamethasone. This finding is consistent with those reported in the literature.

T-ALL is an established indicator of poor prognosis and high recurrence rates. Compared with B-ALL, T-ALL is often accompanied by a high WBC count, mediastinal masses, and CNS infiltration, and patients with T-ALL have poor responses to prednisone and unsatisfactory survival and prognosis (20, 21). In our study, the proportion of patients with T-ALL was significantly higher in the DPR than in the DGR group, in line with previous findings.

However, the multivariate analysis showed no correlation between T-ALL and dexamethasone response, perhaps because patients with T-ALL were excluded, similar to patients at LR in the study.

Genetic abnormalities are important for risk stratification and treatment guidance in children with ALL. Multicenter studies have shown that patients with hyperdiploid and ETV6-RUNX1 fusion genes have good prognosis and that the presence of the BCR/ABL1, TCF3/PBX1, PDGFRB, and MLL fusion genes often indicates poor prognosis (22). In this study, the proportion of abnormal chromosomal karyotypes was higher in the DPR than in the DGR group. Furthermore, the proportion of patients who tested positive for the ETV6-RUNX1 fusion genes in the DGR group (21.05%) was significantly higher than that in the DPR group (11.64%), which was consistent with the findings by Zhen et al. who stated that patients positive for the ETV6-RUNX1 fusion gene had good hormone responses (22). In addition, the high detection rates of the BCR/ABL1 and PDGFRB fusion genes in the DPR group in this study were consistent with previous findings (23). Previous studies have reported that patients positive for MLL gene rearrangements have high WBC counts, CNS involvement, relative resistance to glucocorticoids and L-ASP, and early recurrence (24) and that the MLL gene is not associated with dexamethasone response (23). Most TCF3/PBX1-positive patients have been shown to have adverse prognostic factors, such as high WBC count and older age (25, 26). In the NPCLC-ALL-2008 trial, the complete response, prednisone response, and recurrence rates were not significantly different between TCF3/PBX1-positive and TCF3/PBX1-negative patients (27). However, the high proportion of TCF3/PBX1-positive patients in the DPR group in this study was not consistent with the single-center results of the NPCLC-ALL-2008 trial, which may be related to the difference in the sample size.

Many studies have shown that bone marrow MRD is the most reliable independent predictor of survival and leukemia recurrence in children with ALL and that high MRD after induction chemotherapy is closely related to leukemia recurrence (28). Currently, an MRD of 10-4 is used as the positive threshold for MRD worldwide, but there is no consensus on the time point for assessing MRD (29). The CCCG-ALL-2015 protocol assessed MRD on day 46 of chemotherapy and found that patients with persistently positive D46MRD had poor prognosis (30). Some international studies have suggested that D19MRD ≥10-2 indicates poor prognosis (31). In this study, D19MRD was used as the basis for assessing early treatment effects and risk adjustments; patients with D19MRD ≥10-2 were considered as being at IR; the intensity of chemotherapy should be strengthened for such patients.

Patients with a D46MRD ≥10-2 were considered to be at HR, and stem cell transplantation should be performed as soon as possible for such patients.

In this study, there was a correlation between dexamethasone response and early treatment response. The proportion of patients with D19MRD ≥10-2 or D46MRD ≥10-4 in the DPR group was significantly higher than that in the DGR group, a result that was consistent with the findings by Yu et al. who stated that DPR was a risk factor for D19MRD ≥10-2 (32). In addition, early treatment response and recurrence of leukemia were different among children with different dexamethasone responses. Early treatment response was not associated with prognosis in HR children in the DGR group, but the recurrence rates were significantly higher in children at LR with D19MRD ≥10-3 or in those at IR with D19MRD ≥10-4. Moreover, the recurrence rate for children at IR with D19MRD ≥10-2 was comparable to that for those with 10-4 ≤D19MRD <10-3 but lower than that for children at IR with 10-3 ≤D19MRD<10-2. This is probably attributed to the additional course of CAT+ consolidation therapy in the former. Intensified chemotherapy can be administered to reduce recurrence in children at LR with D19MRD ≥10-3 or at IR with D19MRD ≥10-4. The recurrence rate for patients with a D46MRD ≥10-4 was significantly higher than that for other patients, indicating that it is scientifically feasible to set MRD detection on d46 of chemotherapy. D19MRD, D46MRD, and recurrence rates were not significantly different between patients at LR and HR in the DPR group, whereas D19MRD ≥10-4 and D46MRD ≥10-4 in patients at IR suggested an increased risk of recurrence. In addition, patients with D19MRD ≥10-2 in the DPR group still had a high recurrence rate after a course of enhanced CAT+ chemotherapy, indicating that the leukemia cells of patients with poor response to dexamethasone are generally resistant to glucocorticoids and exhibit multidrug resistance (11). The dexamethasone response was especially important for judging the prognosis of patients at IR. In addition to enhancing chemotherapy, technologies, such as second-generation sequencing, should be used to identify HR factors that affect prognosis, and targeted therapy should be sought. In summary, regardless of the dexamethasone response, early treatment response was not correlated with prognosis in patients being at HR.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by IRB of Shanghai Children’s Medical Center Affliated Shanghai Jiaotong University School of Medicine. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author contributions

Conceptualization: SH and NW. Methodology: JinC, HC and JiaoC. Data: HC and XB. Original Draft Preparation and writing: JinC and HC. Writing – Review & Editing: SH and NW. Investigation: YC, XG, XC, HJ, XZ. Project administration: YF, LZ, XT, FZ, YW, LW, and HL. Visualization: WL, MY, HY, and AZ. All authors contributed to the article and approved the submitted version.

Funding

This work was supported in part by the Discipline Co-construction Project of Pediatrics and Physiology (No. 2020LCXK017), Discipline Co-construction Project of Pediatrics and Immunology (No. 2021LCXK030), Beijing Bethune Medical Science Research Foundation (No. SCE128EN), Clinical Research and Cultivation Program of the Second Affiliated Hospital of Anhui Medical University (No. 2020LCYSOCS304), Jiangsu Province BE2021654 and CXTDA2017014, and the VIVA China Children’s Cancer Foundation, and the National Natural Science Foundation of China (grants 81670136, 81870131, and 81770175).

Acknowledgments

We are grateful for support from VIVA-China Children’s Cancer Foundation. Authors also appreciate the contributions from all the investigators, the patients and their families.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

DGR, dexamethasone good response; DPR, dexamethasone poor response.

References

1. Cai J, Yu J, Zhu X, Hu S, Zhu Y, Jiang H, et al. Treatment abandonment in childhood acute lymphoblastic leukaemia in China: a retrospective cohort study of the Chinese children’s cancer group. Arch Dis Child (2019) 104:522–9. doi: 10.1136/archdischild-2018-316181

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Jeha S, Pei D, Choi J, Cheng C, Sandlund JT, Coustan-Smith E, et al. Improved CNS control of childhood acute lymphoblastic leukemia without cranial irradiation: St Jude total therapy study 16. J Clin Oncol (2019) 37:3377–91. doi: 10.1200/JCO.19.01692

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Pui CH. Precision medicine in acute lymphoblastic leukemia. Front Med (2020) 14:689–700. doi: 10.1007/s11684-020-0759-8

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Pui CH, Yang JJ, Hunger SP, Pieters R, Schrappe M, Biondi A, et al. Childhood acute lymphoblastic leukemia: Progress through collaboration. J Clin Oncol (2015) 33:2938–48. doi: 10.1200/JCO.2014.59.1636

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Bloom M, Maciaszek JL, Clark ME, Pui CH, Nichols KE. Recent advances in genetic predisposition to pediatric acute lymphoblastic leukemia. Expert Rev Hematol (2020) 13:55–70. doi: 10.1080/17474086.2020.1685866

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Inaba H, Pui CH. Advances in the diagnosis and treatment of pediatric acute lymphoblastic leukemia. J Clin Med (2021) 10:1926. doi: 10.3390/jcm10091926

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Volejnikova J, Jarosova M, Pospisilova D, Novak Z, Vrbkova J, Hajduch M, et al. Treatment and prognosis of childhood acute lymphoblastic leukemia on protocols ALL-BFM 90, 95 and ALL IC-BFM 2002: a retrospective single-center study from olomouc, Czech republic. Neoplasma (2016) 63:456–61. doi: 10.4149/316_150910n482

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Dordelmann M, Reiter A, Borkhardt A, Ludwig WD, Gotz N, Viehmann S, et al. Prednisone response is the strongest predictor of treatment outcome in infant acute lymphoblastic leukemia. Blood (1999) 94:1209–17. doi: 10.1182/blood.V94.4.1209

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Cai JY, Wang NL, Jiang H, Shen SH, Xue HL, Chen J, et al. Long-term results of multicenter study based on childhood acute lymphoblastic leukemia 2005 protocol. Zhonghua Er Ke Za Zhi (2018) 56:511–7. doi: 10.3760/cma.j.issn.0578-1310.2018.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Ren YY, Zou Y, Chang LX, An WB, Wan Y, Zhang JL, et al. Prognostic value of prednisone response in CCLG-ALL 2008. Zhongguo Shi Yan Xue Ye Xue Za Zhi (2015) 23:642–6. doi: 10.7534/j.issn.1009-2137.2015.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Möricke A, Zimmermann M, Valsecchi MG, Stanulla M, Biondi A, Mann G, et al. Dexamethasone vs prednisone in induction treatment of pediatric ALL: results of the randomized trial AIEOP-BFM ALL 2000. Blood (2016) 127:2101–12. doi: 10.1182/blood-2015-09-670729

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Yang W, Cai J, Shen S, Gao J, Yu J, Hu S, et al. Pulse therapy with vincristine and dexamethasone for childhood acute lymphoblastic leukaemia (CCCG-ALL-2015): an open-label, multicentre, randomised, phase 3, non-inferiority trial. Lancet Oncol (2021) 22:1322–32. doi: 10.1016/S1470-2045(21)00328-4

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Liu X, Zou Y, Zhang L, Guo Y, Chen Y, Yang W, et al. A novel risk defining system for pediatric T-cell acute lymphoblastic leukemia from CCCG-ALL-2015 group. Front Oncol (2022) 12:841179. doi: 10.3389/fonc.2022.841179

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Li C, Zhao X, He Y, Li Z, Qian J, Zhang L, et al. The functional role of inherited CDKN2A variants in childhood acute lymphoblastic leukemia. Pharmacogenet Genomics (2022) 32:43–50. doi: 10.1097/fpc.0000000000000451

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Zhuang Y, Wu K, Zhu X, Cai J, Hu S, Gao J, et al. Reduced dose intensity of daunorubicin during remission induction for low-risk patients with acute lymphoblastic leukemia: A retrospective cohort study of the Chinese children’s cancer group. Front Oncol (2022) 12:911567. doi: 10.3389/fonc.2022.911567

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Tang J, Yu J, Cai J, Zhang L, Hu S, Gao J, et al. Prognostic factors for CNS control in children with acute lymphoblastic leukemia treated without cranial irradiation. Blood (2021) 138:331–43. doi: 10.1182/blood.2020010438

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Shen S, Chen X, Cai J, Yu J, Gao J, Hu S, et al. Effect of dasatinib vs imatinib in the treatment of pediatric Philadelphia chromosome–positive acute lymphoblastic leukemia: A randomized clinical trial. JAMA Oncol (2020) 6:358. doi: 10.1001/jamaoncol.2019.5868

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Chen X, Zou Y, Liu XM, Yang WY, Guo Y, Ruan M, et al. Long-term clinical effect of CCLG–ALL2008 regimen in the treatment of children acute lym-phoblastic leukemia with different molecular biological features. Chin J Contemp Pediatr (2019) 21:890–3. doi: 10.7499/j.issn.1008-8830.2019.09.009

CrossRef Full Text | Google Scholar

19. Thastrup M, Marquart HV, Levinsen M, Grell K, Abrahamsson J, Albertsen BK, et al. Flow cytometric detection of leukemic blasts in cerebrospinal fluid predicts risk of relapse in childhood acute lymphoblastic leukemia: a Nordic society of pediatric hematology and oncology study. Leukemia (2020) 34:336–46. doi: 10.1038/s41375-019-0570-1

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Levinsen M, Taskinen M, Abrahamsson J, Forestier E, Frandsen TL, Harila-Saari A, et al. Clinical features and early treatment response of central nervous system involvement in childhood acute lymphoblastic leukemia: CNS involvement in childhood ALL. Pediatr Blood Cancer (2014) 61:1416–21. doi: 10.1002/pbc.24981

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Lato MW, Przysucha A, Grosman S, Zawitkowska J, Lejman M. The new therapeutic strategies in pediatric T-cell acute lymphoblastic leukemia. Int J Mol Sci (2021) 22:4502. doi: 10.3390/ijms22094502

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Zheng YZ, Pan LL, Li J, Chen ZS, Hua XL, Le SH, et al. Clinical features and prognosis of ETV6-RUNX1-positive childhood b-precursor acute lymphocyte leukemia. Zhonghua Xue Ye Xue Za Zhi (2021) 42:45–51. doi: 10.3760/cma.j.issn.0253-2727.2021.01.009

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Cai C, Li J, Le S, Zheng H, Hua X, Chen Z, et al. Clinical effect and safety of dasatinib combined with Chinese children’s leukemia group-acute lymphoblastic leukemia 2008 protocol in treatment of childhood Philadelphia chromosome-positive acute lymphoblastic leukemia. Leukemia Lymphoma (2019) 28:728–33. doi: 10.3760/cma.j.issn.1009-9921.2019.12.007

CrossRef Full Text | Google Scholar

24. El Chaer F, Keng M, Ballen KK. MLL-rearranged acute lymphoblastic leukemia. Curr Hematol Malig Rep (2020) 15:83–9. doi: 10.1007/s11899-020-00582-5

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Liu Q, Jiang H, Li H, Shao J, Chen K, Xia M, et al. Molecular cytogenetics and clinical features analysis of children with acute lymphoblastic leukemia: a single center study. Chin J Appl Clin Pediatr (2020) 35:1152–6. doi: 10.3760/cma.j.cn101070-20190509-00390

CrossRef Full Text | Google Scholar

26. Zhou B, Chu X, Tian H, Liu T, Liu H, Gao W, et al. The clinical outcomes and genomic landscapes of acute lymphoblastic leukemia patients with E2A-PBX1: A 10-year retrospective study. Am J Hematol (2021) 96:1461–71. doi: 10.1002/ajh.26324

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Jia M, Hu BF, Xu XJ, Zhang JY, Li SS, Tang YM. Clinical features and prognostic impact of TCF3-PBX1 in childhood acute lymphoblastic leukemia: A single-center retrospective study of 837 patients from China. Curr Probl Cancer (2021) 45:100758. doi: 10.1016/j.currproblcancer.2021.100758

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Farkas T, Müller J, Erdelyi DJ, Csoka M, Kovacs GT. Absolute lymphocyte count (ALC) after induction treatment predicts survival of pediatric patients with acute lymphoblastic leukemia. Pathol Oncol Res (2017) 23:889–97. doi: 10.1007/s12253-017-0192-8

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Xu R, Lu X, Zhang M. Relationship between minimal residual disease and prognosis in acute leukemia patients in remission. J Clin Hematol (2016) 29:209–12. doi: 10.13201/j.issn.1004-2806.2016.03.010

CrossRef Full Text | Google Scholar

30. Li H, Shao J, Zhu J, Zhang N, Chen K, Wang Z, et al. Value of early treatment response to assess prognosis of children with acute lymphoblastic leukemia. J Clin Pediatr (2021) 39:600–4. doi: 10.3969/j.issn.1000-3606.2021.08.010

CrossRef Full Text | Google Scholar

31. Pui CH, Pei D, Raimondi SC, Coustan-Smith E, Jeha S, Cheng C, et al. Clinical impact of minimal residual disease in children with different subtypes of acute lymphoblastic leukemia treated with response-adapted therapy. Leukemia (2017) 31:333–9. doi: 10.1038/leu.2016.234

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Yu J, Yi T, Lin G, Wen J, Chen L, Chen J, et al. Prognostic significance and risk factors of minimal residual disease ≥1% on 19th day of induction chemotherapy in children with acute lymphoblastic leukemia. Nan Fang Yi Ke Da Xue Xue Bao (2020) 40:255–61. doi: 10.12122/j.issn.1673-4254.2020.02.18

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: acute lymphocytic leukemia, steroid response, children, overall survival, event-free survival

Citation: Chu J, Cai H, Cai J, Bian X, Cheng Y, Guan X, Chen X, Jiang H, Zhai X, Fang Y, Zhang L, Tian X, Zhou F, Wang Y, Wang L, Li H, Kwan Alex LW, Yang M, Yang H, Zhan A, Wang N and Hu S (2022) Prognostic significance of steroid response in pediatric acute lymphoblastic leukemia: The CCCG-ALL-2015 study. Front. Oncol. 12:1062065. doi: 10.3389/fonc.2022.1062065

Received: 05 October 2022; Accepted: 21 November 2022;
Published: 23 December 2022.

Edited by:

Anna Maria Testi, Sapienza University of Rome, Italy

Reviewed by:

Valentino Conter, Fondazione MBBM, Italy
Luca Lo Nigro, Azienda Ospedaliero Universitaria Policlinico - San Marco, Italy

Copyright © 2022 Chu, Cai, Cai, Bian, Cheng, Guan, Chen, Jiang, Zhai, Fang, Zhang, Tian, Zhou, Wang, Wang, Li, Kwan Alex, Yang, Yang, Zhan, Wang and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shaoyan Hu, hushaoyan@suda.edu.cn; Ningling Wang, zwnltt@126.com

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.