Literature DB >> 35326622

Outcome of Children and Adolescents with Recurrent Classical Hodgkin Lymphoma: The Italian Experience.

Alberto Garaventa1, Stefano Parodi2, Giulia Guerrini3, Piero Farruggia4, Alessandra Sala5, Marta Pillon6, Salvatore Buffardi7, Francesca Rossi8, Maurizio Bianchi9, Marco Zecca10, Luciana Vinti11, Elena Facchini12, Tommaso Casini13, Sayla Bernasconi14, Loredana Amoroso1, Salvatore D'Amico15, Massimo Provenzi16, Raffaela De Santis17, Antonella Sau18, Paola Muggeo19, Rosa Maria Mura20, Riccardo Haupt2, Maurizio Mascarin21, Roberta Burnelli22.   

Abstract

The objective of this study was to identify prognostic factors for children and adolescents with relapsed or progressive classical Hodgkin's lymphoma (cHL) to design salvage therapy tailored to them. We analyzed a homogeneous pediatric population, diagnosed with progressive/relapsed cHL previously enrolled in two subsequent protocols of the Italian Association of Pediatric Hematology and Oncology in the period 1996-2016. There were 272 eligible patients, 17.5% of treated patients with cHL. Overall survival (OS) and event-free survival (EFS) after a 10-year follow-up were 65.3% and 53.3%, respectively. Patients with progressive disease (PD), advanced stage at recurrence, and ≥5 involved sites showed a significantly worse OS. PD, advanced stage, and extra-nodal involvement at recurrence were significantly associated with a poorer EFS. Multivariable analysis identified three categories for OS based on the type of recurrence and number of localizations: PD and ≥5 sites: OS 34%; PD and <5 sites: OS 56.5%; relapses: OS 73.6%. Four categories were obtained for EFS based on the type of recurrence and stage: PD and stage 3-4: EFS 25.5%; PD and stage 1-2: EFS 43%; relapse and stage 3-4: EFS 55.4%; relapse and stage 1-2: EFS 72.1%. Patients with PD, in advanced stage, or with ≥5 involved sites had a very poor survival and they should be considered refractory to first- and second-line standard chemotherapy. Probably, they should be considered for more innovative approaches since the first progression. Conversely, patients who relapsed later with localized disease had a better prognosis, and they could be considered for a conservative approach.

Entities:  

Keywords:  Hodgkin’s lymphoma; adolescents; children; prognostic factors; relapse; survival

Year:  2022        PMID: 35326622      PMCID: PMC8946075          DOI: 10.3390/cancers14061471

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


1. Introduction

Classical Hodgkin’s lymphoma (cHL) is a common hematological malignancy in children, adolescents, and young adults. In pediatric patients, it is considered one of the most curable neoplastic diseases. The 5-year survival rate of pediatric cHL patients treated with the modern protocols available in Western countries now exceeds 90% [1]. Based on past experience, these protocols are designed to provide at least similar survival rates as in the past, but with lower treatment burden, to minimize the risk of early- and long-term toxicities. Still, 10% of stage I–II patients and 15–30% of those with advanced stages experience resistant or relapsing disease and therefore require salvage therapy [2]. The chance of rescuing these patients is around 50–60%, with different salvage protocols including standard-dose chemotherapy, high-dose chemotherapy with autologous stem cell rescue (ASCR), haploidentical transplant, related or unrelated transplant, and, quite recently, immunotherapy [3,4,5]. Several studies on adult cHL patients investigated the prognostic significance of several risk factors at relapse (i.e., timing, stage, bulky disease, B symptoms) and led to the development of a prognostic index and treatment guidelines [6]. Conversely, few studies focused on children and adolescents with progressive/relapsed cHL, and their unique conclusion was that the interval between diagnosis and recurrence is the only significant factor affecting survival [2,7]. The objective of this study was to identify any other prognostic factor for children with relapsing or progressive cHL, which could contribute to the design of salvage therapy. With this purpose, we analyzed a large homogeneous population of children and adolescents with progressive/relapsed cHL after being enrolled in two subsequent front-line protocols adopted by the Italian Association of Pediatric Hematology and Oncology (AIEOP) in the period 1996–2016 [8].

2. Patients and Methods

Eligible patients were diagnosed with cHL, aged <18 years, treated with MH96 protocol (February 1996–May 2004) or LH2004 (June 2004–December 2016) [8], and who experienced progressive disease (PD) or relapse during or after front-line therapy. Inclusion criteria, procedures, staging, and treatment outlines were recently reported [8] and are summarized in Table 1. After completion of treatment, both protocols required minimum 6-month monitoring for the subsequent 5 years.
Table 1

Summary of MH96 and LH2004 AIEOP protocols.

Treatment GroupsMH’96LH2004
1IA, IIA supradiaphragmatic no bulky, no pulmonary hilum, <4 lymphatic sites, or IA, IIA infradiaphragmatic <4 lymphatic sites3× ABVD+:

CR no initial mediastinal involvement: stop

others: RT

CR o PR ≥ 75%: 20 Gy IF

PR <75%: 36 Gy IF

3× ABVD+:

CR: stop

others: RT 25.2 Gy IF

2patients not included in groups 1 or 34× COPP/ABV+RT:

CR or PR ≥ 75%: 20 Gy IF

PR < 75%: 36 Gy IF

4× COPP/ABV+:

CR: RT 14.4 Gy IF

PR: 2× IEP + RT

CR: 14.4 Gy IF

PR: 25.2 Gy IF

3IIIB, IV; M/T ≥ 0.33 all stages6× COPP/ABV+RT:

CR or PR ≥ 75%: 20 Gy IF

PR <75%: 36 Gy IF

4× COPP/ABV+:

CR: 2× COPP/ABV + RT 14.4 Gy IF

PR: 2× IEP + RT

CR: 14.4 Gy IF

PR: 25.2 Gy IF

If RP ≤ 50% after 2° cycle: GR1: IEP/OPPA/COPP/IEP + RT; GR2 and 3: IEP/OPPA/IEP/OPPA/IEP + RT
ABVDDoxorubicin: 25 mg/m2 IV days 1Bleomycin: 10 mg/m2 IV days 1 and 15Vinblastine: 6 mg/m2 IV days 1 and 15DTIC: 375 mg/m2 IV days 1 and 15COPP/ABVCyclophosphamide: 600 mg/m2 IV day 1Vincristine: 1.4 mg/m2 IV day 1Prednisone: 40 mg/m2 orally days 1–14Procarbazine: 100 mg/m2 orally days 1–7Doxorubicin: 35 mg/m2 IV day 8Bleomycin: 10 mg/m2 IV day 8Vinblastine: 6 mg/m2 IV day 8IEPIfosfamide: 2000 mg/m2 IV days 1–5Etoposide: 120 mg/m2 IV days 1–5Prednisone: 100 mg/m2 orally days 1–5
OPPAVincristine: 1.5 mg/m2 IV days 1 and 8 and 15Procarbazine: 100 mg/m2 orally days 1–14Prednisone: 60 mg/m2 IV days 1–14Doxorubicin: 40 mg/m2 IV days 1 and 15COPPCyclophosphamide: 500 mg/m2 IV days 1 and 8Vincristine: 1.5 mg/m2 IV days 1 and 8Procarbazine: 100 mg/m2 orally days 1–15Prednisone: 40 mg/m2 orally days 1–15

A: symptoms A (absent), B: symptoms B (present). CR: complete response. IF: involved fields. M/T: mediastinal/thoracic ratio. PR: partial response. RT: radiotherapy.

Tumor regrowth was defined based on its timing during treatment or after the first elective end of treatment (EOT), namely (i) progressive or refractory disease (PD) when tumor regrowth occurs either during treatment or within 3 months after EOT, (ii) early relapse when it occurs between 3 and 12 months after EOT, and (iii) late relapse when it occurs >12 months after EOT [2,7]. For each patient, data were collected on tumor characteristics at diagnosis: gender, age, tumor histology [9], stage, presence of symptoms A or B, bulky disease, number of involved sites, involvement of extra-nodal sites, protocol, and treatment group including radiotherapy. Collected data about tumor regrowth were as follows: timing of regrowth, age, staging at recurrence, number of involved sites, extra-nodal site involvement, recurrence at the same primary site, and recurrence within the radiotherapy field. Since fluorodeoxyglucose positron emission tomography (FDG-PET) scan was not a standard investigation during the study period, the FDG-PET response was not considered as a prognostic factor. No AIEOP approved salvage protocol was available, and the most common schemes used as second-line therapies [10,11,12] are reported in Table 2. They were followed by radiotherapy and/or high-dose chemotherapy (HDCT) with ASCR. The individual choice was made according to institutional strategies and, mostly, to previous treatment and characteristics of relapse; further modifications might have been influenced by the initial response to salvage therapy.
Table 2

Therapeutic regimens utilized as a second line treatment for cHL.

AcronymsDrugs
IEPHigh-dose IfosfamideEtoposideMetil-Prednisolone--
DHAPDexamethasoneHigh dose Cytosine-ArabinosideCisplatin--
DECALDexamethasoneEtoposideCisplatinCytosine-ArabinosideL-asparaginase
BEAMBCNUEtoposideCytosine-ArabinosideMelphalan-
Follow-up data after recurrence included date and type of any new event—further progression/relapse, subsequent malignant neoplasm (SMN), date, and status at the last follow-up. Second-line strategies were approved by ethics committee or institutional review board of each participating institution. Written informed consent was obtained from parents or legal guardians of all patients. The data lock point was September 2019 and data on previous relapses were updated in April 2021.

Statistical Methods

All data were collected in a central database. Overall survival (OS) after the first recurrence was calculated from the date of PD or relapse to the date of either death due to any cause or last contact. Event-free survival (EFS) was calculated from the date of progression/relapse to the date of either first subsequent event (further progression, second relapse, SMN, or death, whichever occurred first) or date of the last follow-up. The Kaplan–Meier method was used to estimate EFS and OS, while differences between groups were assessed using the log-rank test. Univariable and multivariable survival analysis was carried out by the Cox regression model [13]. All analyses were performed by STATA 13.1 (Stata Corporation, College Station, TX, USA). p-values < 0.05 were considered as statistically significant.

3. Results

Patient selection for data analysis is illustrated in Figure 1. In total, 82 (16.4%) of the 499 cHL patients treated with MH96 protocol and 190 (17.7%) of the 1074 treated with LH2004 protocol experienced either PD or recurrence, for a total of 272 eligible cHL patients.
Figure 1

Patient selection for statistical analyses.

Patient characteristics at diagnosis are resumed in Table 3. Patients treated with LH2004 protocol were 69.8%. There was a higher number of males and patients <15 years with nodular sclerosis, B symptoms, bulky disease, and treatment group 3. Patient characteristics were quite similar in the two protocols, except for a significant higher number of adolescents 37.9% vs. 20.7%), nodular sclerosis (93.2% vs. 80.5%), and multiple involved sites (≥8 sites: 37.4% vs. 25.6%) in the LH2004 group (Supplemental Table S1). Furthermore, 31% of the LH2004 patients did not receive radiotherapy due to PD vs. 12.2% of the MH96 patients.
Table 3

Characteristics at diagnosis of 272 recurring patients with classical Hodgkin’s lymphoma.

Patient Characteristics n %
Protocol
MH 968230.2
LH 200419069.8
Gender
Male15858.1
Female11441.9
Age (years)
<531.1
5–1418066.2
≥158932.7
Histology
Lymphocyte depleted51.8
Mixed cellularity248.8
Nodular sclerosis24389.3
Stage
172.6
212546.0
36222.8
47828.7
Symptoms
A11140.8
B16159.2
Bulky
No9735.7
Yes17564.3
Number of involved sites
1–36423.5
4–711642.7
≥89233.8
Extra-nodal site involvement
No17865.4
Yes9434.6
Treatment group
1124.4
23512.9
322582.7
Radiotherapy
No according to protocol62.2
No for disease progression6825.0
Yes19571.7
Missing31.1

Extra-nodal sites: parenchymal sites, including liver, lung, bone, and bone marrow. %: percentages calculated on valid data only.

Patient characteristics at disease recurrence are reported in Table 4. Forty-three percent had PD. Time from off-therapy to recurrence was reported for non-refractory patients: 51% relapsed between 3 months and 1 year from stop therapy. About half of the patients were ≥15 years. For 34 subjects (12.5%), no information was available about disease stage at relapse. Advanced stages (3 and 4) were observed in about half of patients. The large majority (64.7%) had no extra-nodal involvement and had recurrence in the site of diagnosis (83.1%) and in an irradiated site (83.3%).
Table 4

Characteristics at disease recurrence of 272 patients with classical Hodgkin’s lymphoma.

Patient Characteristics n%
Type of recurrence
Progression11743.0
Relapse15557.0
Early relapse (3–12 months from OT)7951.0
Late relapse (≥12 months from OT)7649.0
Age (years)
<531.1
5–1412144.5
≥514854.4
Stage
13012.6
29138.2
33615.1
48134.0
Missing3412.5
Number of involved sites *
17229.8
2–410242.5
≥56828.1
Missing3011.0
Extra-nodal site involvement **
No15664.7
Yes8535.3
Missing3111.4
Recurrence at the same site
No4116.9
Yes20183.1
Missing3011.0
Recurrence after Radiotherapy
Recurrence in non-irradiated sites3016.7
Recurrence in the irradiated site15083.3
Missing157.7

* The number of involved sites was grouped according to the tertiles of its distribution. ** Extra-nodal sites: parenchymal sites including liver, lung, bone, and bone marrow. % percentages calculated on valid data only.

A smaller proportion of relapsed patients was observed in the LH2004 group (49.5% vs. 74.4%, Supplemental Table S2), which was characterized by a greater number of patients ≥15 years (60.5% vs. 40.2%), multiple involved sites (≥5: 35.7% vs. 10.8%), and recurrence at the same site of diagnosis (87.5% vs. 73.0%). Overall, 170 patients received HDCT with ASCR as consolidation of a complete response after second-line therapy. Only 18 patients (9 in complete response) received allogeneic transplant. Since the date of the first cHL recurrence, 158 further events were observed in 121 patients: 64 further cHL relapses, 5 SNMs, and 89 deaths (Supplemental Figure S1). In details, relapses occurred between 1 and 118 months (median 11 months); SMNs were: one lung adenocarcinoma at 53 months, one soft tissue sarcoma at 85 months after secondary acute myeloblastic leukemia, one osteosarcoma of the chest wall at 64 months, one colon adenocarcinoma associated with a clear-cell renal carcinoma at 182 months, and a papillary and follicular thyroid carcinoma at 125 months in a patient who had experienced a second cHL relapse at 20 months. The 89 deaths happened between 12 days and 128 months (median 19 months): 33 after HL recurrence, 3 after SMN, and 53 because of a persistent HL. Figure 2 shows the Kaplan–Meier survival curves for the OS and EFS after disease recurrence in the 272 cHL patients under study. After a 10-year follow-up, OS was 65.3% (95% CI: 59–71) and EFS 53.3% (95% CI: 47–59).
Figure 2

Overall and event-free survival after disease recurrence in 272 cHL patients.

Table 5 shows OS after recurrence by patient characteristics at diagnosis. A significantly better result was reported for patients treated with LH2004 protocol. No difference was observed for gender, age, histology, stage, bulky disease, number, and type of involved sites, as well as radiotherapy administration. B symptoms were associated with a poorer survival, but statistical significance was not reached. A not significant better survival was observed in patients without bulky disease and in those in the first treatment group.
Table 5

Ten-year overall survival of 272 patients with classical Hodgkin’s lymphoma after recurrence by characteristics at diagnosis.

Patient CharacteristicsN/DOS95% CI p
Whole cohort272/8965.359.0–70.9
Protocol 0.042
MH9682/3656.545.0–66.5
LH2004190/5369.561.7–76.0
Gender 0.687
Male158/5362.353.2–70.2
Female114/3666.956.7–75.3
Age (years) 0.729
0–14183/6264.556.8–71.2
≥1589/2766.653.9–76.5
Histology 0.356
Lymphocyte depleted5/250.05.8–84.5
Mixed cellularity24/1057.435.2–74.4
Nodular sclerosis243/7766.459.7–72.3
Stage 0.885
1–2132/4465.556.2–73.2
3–4140/4565.356.2–73.0
Symptoms 0.052
A111/2972.061.8–80.0
B161/6060.852.5–68.2
Bulky disease 0.141
No97/2671.260.0–79.8
Yes175/6362.354.4–69.2
Number of involved sites * 0.667 *
1–364/2265.652.2–76.1
4–7116/3964.154.1–72.5
≥892/2866.454.8–75.7
Extra-nodal site involvement ** 0.220
No178/6263.755.8–70.5
Yes94/2768.657.4–77.5
Treatment Group 0.220
112/383.348.2–95.6
235/776.956.9–88.5
3225/7962.655.5–68.8
Radiotherapy (post-chemotherapy) 0.197
No according to protocol6/0100
No for disease progression68/2562.349.5–72.8
Yes195/6365.257.5–71.9

* The number of involved sites was grouped according to the tertiles of its distribution. ** Extra-nodal sites: parenchymal sites including liver, lung, bone, and bone marrow. % percentages calculated on valid data only. Bold: significant p value.

Table 6 shows OS after recurrence by patient characteristics at the time of the event. OS was significantly poorer for patients with PD, advanced stage, a large number of involved sites and extra-nodal site involvement (in this latter not statistically significant). No difference was observed between early vs. late relapse.
Table 6

Ten-year overall survival of 272 patients with classical Hodgkin’s lymphoma after recurrence by characteristics at relapse/progression.

Patient CharacteristicsN/DOS95% CI p
Type of recurrence <0.001
Progression117/5452.142.5–61.0
Relapse155/3575.366.9–81.8
Early relapse79/1873.760.9–82.90.991
Late relapse76/1776.564.3–85.0
Age (years) 0.252
0–14124/4661.552.0–69.6
≥15148/4368.759.7–76.1
Stage 0.029
1–2121/3669.059.6–76.7
3–4117/4857.247.1–66.1
Number of involved sites * 0.023 *
172/2268.456.0–78.0
2–4102/3265.855.0–74.7
≥568/3252.539.3–64.2
Extra-nodal site involvement ** 0.087
No156/5166.958.7–73.8
Yes85/3554.942.7–65.5
Recurrence at the same site 0.412
No41/1366.449.0–79.0
Yes201/7362.354.9–68.9
Recurrence after Radiotherapy 0.110
Recurrence in a non-irradiated site30/775.755.5–87.6
Recurrence in the same irradiated site150/5461.852.8–69.5

* The number of involved sites was grouped according to the tertiles of its distribution. ** Extra-nodal sites: parenchymal sites including liver, lung, bone, and bone marrow. % percentages calculated on valid data only. Bold: significant p value.

Supplemental Table S3 shows EFS after recurrence by patient characteristics at diagnosis. Only the presence of B symptoms was associated with poorer survival (47.7% vs. 61.6%), without reaching the statistical significance. Table 7 shows EFS after recurrence by patient characteristics at disease recurrence. Progressive disease, advanced stage, and extra-nodal site involvement were significantly associated with a poorer survival. A not statistically significant lower EFS was observed for patients with at least five involved sites and recurrence at previously irradiated sites.
Table 7

Ten-year event-free survival of 272 patients with classical Hodgkin’s lymphoma after recurrence by characteristics at relapse/progression.

Patient CharacteristicsN/EEFS95% CI p
Type of recurrence <0.001
Progression117/6938.028.6–47.4
Relapse155/5264.656.0–71.9
Early relapse79/3059.747.3–70.00.244
Late relapse76/2269.757.2–79.3
Age (years) 0.571
0–14124/5951.642.2–60.3
≥15148/6254.345.1–62.7
Stage 0.011
1–2121/4859.349.8–67.6
3–4117/6442.332.4–51.8
Number of involved sites * 0.079 *
172/3156.444.0–67.0
2–4102/4552.441.2–62.4
≥568/3843.631.6–55.0
Extra-nodal site involvement ** 0.019
No156/6756.548.1–64.0
Yes85/4740.028.4–51.3
Recurrence at the same site 0.331
No41/1856.839.8–70.7
Yes201/9649.842.3–56.9
Recurrence after radiotherapy 0.067
Recurrence in a non-irradiated site30/1069.449.4–82.8
Recurrence in the same irradiated site150/7050.041.0–58.3

* The number of involved sites was grouped according to the tertiles of its distribution. ** Extra-nodal sites: parenchymal sites including liver, lung, bone, and bone marrow. % percentages calculated on valid data only. Bold: significant p value.

Multivariable analysis (Table 8) confirmed a higher OS for patients treated with LH2004 protocol (HR = 0.43) and a lower OS for those with progressive disease (HR = 0.33) and with a high number of involved sites at recurrence (HR = 2.5 for ≥5 involved sites)
Table 8

Univariable and multivariable Cox regression model to assess the overall survival after recurrence by characteristics at diagnosis and at relapse/progression of 272 patients with classical Hodgkin’s lymphoma.

Univariable AnalysisMultivariable Analysis
Patient CharacteristicsN/DHR95% CI p HR95% CI p
Characteristics at diagnosis
Protocol 0.042 <0.001
MH9682/361 (ref)- 1 (ref)-
LH2004190/530.650.42–0.99 0.430.27–0.70
Symptoms at diagnosis 0.054 0.184
A111/291 (ref)- 1 (ref)-
B161/601.50.99–2.4 1.40.86–2.2
Characteristics at recurrence
Type of recurrence <0.001 <0.001
Progression117/541 (ref)- 1 (ref)-
Relapse155/350.380.25–0.58 0.330.21–0.52
Stage 0.029 0.147
1–2121/361 (ref)- 1 (ref)-
3–4117/481.61.0–2.5 1.40.88–2.3
Extra-nodal site involvement * 0.093 0.409
No156/511 (ref)- 1 (ref)-
Yes85/351.50.95–2.2 1.20.76–2.0
Number of involved sites ** 0.054 0.009
172/221 (ref)- 1 (ref)-
2–4102/321.1 0.66–1.9 1.50.85–2.5
≥568/321.91.1–3.2 2.51.4–4.4
Continuous variable242/861.11.04–1.2 0.003 1.11.1–1.2 0.001

N/D = Number of patients/deaths. HR = hazard ratio. * Extra-nodal sites: parenchymal sites including liver, lung, bone, and bone marrow. % percentages calculated on valid data only. ** The number of involved sites was grouped according to the tertiles of its distribution. Bold: significant p value.

EFS was significantly related to type of recurrence (HR = 0.34 for relapse vs. progression), stage at relapse (HR = 1.7 for advanced vs. not-advanced stages), and recurrence at the same irradiated site (Table 9). The highest survival of patients treated with LH2004 protocol was confirmed (HR = 0.56).
Table 9

Univariable and multivariable Cox regression model to assess the event-free survival after recurrence by characteristics at diagnosis and at relapse/progression of 272 patients with classical Hodgkin’s lymphoma.

Univariable AnalysisMultivariable Analysis
Patient CharacteristicsN/EHR95% CI p HR95% CI p
Characteristics at diagnosis
Protocol 0.099 0.006
MH9682/451 (ref)- 1 (ref)-
LH2004190/760.730.50–1.1 0.560.38–0.84
Symptoms 0.067 0.200
A111/421 (ref)- 1 (ref)-
B161/791.40.98–2.1 1.30.87–1.9
Characteristics at recurrence
Type <0.001 <0.001
Progression117/691 (ref)- 1 (ref) -
Relapse155/520.430.30–0.61 0.340.23–0.51
Stage 0.012 0.005
1–2121/481 (ref)- 1 (ref) -
3–4117/641.61.1–2.4 1.71.2–2.5
Number of involved sites * 0.072 0.492
Continuous variable242/1141.061.0–1.12 1.020.96–1.10
Extra-nodal site involvement ** 0.022 0.783
No156/671 (ref)- 1 (ref)-
Yes85/471.61.1–2.3 1.10.62–1.9
Recurrence after radiotherapy *** 0.052 0.031
Non-irradiated site30/101 (ref.)- 1 (ref.)-
Same irradiated site150/701.80.95–3.6 2.01.0–4.1

N/E: Number of patients/events; HR = hazard ratio. Extra-nodal sites: parenchymal sites, including liver, lung, bone, and bone marrow. * The number of involved sites was grouped according to the tertiles of its distribution ** Extra-nodal sites: parenchymal sites including liver, lung, bone, and bone marrow. % percentages calculated on valid data only. *** Analysis performed in the subcohort of patients receiving radiotherapy after first-line chemotherapy (n = 174). Bold: significant p value.

Combining the potential prognostic factors, evaluated by multivariable analysis, three categories were identified for OS (Figure 3A): progressive patients with ≥5 involved sites and the worst survival (34%, 95% CI: 19.6–49), progressive patients with <5 involved sites with intermediate survival (56.5%, 95% CI: 43.2–67.8), and relapsed patients with the best survival (73.6%, 95% CI: 64.7–80.6). The small number of deaths in this latter group prevented to further separate patients by the number of involved sites.
Figure 3

Survival after relapse or progression of 272 classical Hodgkin’s lymphoma patients by characteristics at relapse identified by multivariable Cox regression model. Panel (A): overall survival. Panel (B): event-free survival.

With regard to EFS, type of recurrence combined with stage identified four categories (Figure 3B). The worst EFS was observed for patients with progression in advanced stage (25.5%, 95% CI: 13.8–38.9) and the best for those with relapse in non-advanced stage (72.1%, 95% CI: 59.2–81.5). Analysis restricted to patients with recurrence after radiotherapy (n = 174) showed a similar trend (data not shown) and an extremely poor survival in patients in advanced stage, with PD relapsed in an irradiated site (EFS = 9.5%, 95% CI: 1.6–26.1).

4. Discussion

Despite improvements in the overall prognosis for children with cHL, a proportion of patients are not cured by their primary treatment. In adults, clinical risk factors for patients with recurrent disease have been well described and they include refractory disease, time to relapse, advanced stage, bulky disease, extra-nodal disease, and age [1,6]. In addition, an interim FDG-PET positivity was found associated with an increased risk of failure [1]. Preliminary data also suggested that cell-free DNA may be an important biomarker of response and outcome [6]. Limited data are available in the pediatric population [7,14,15] and pediatric series include few cases collected over a long period of time. The first investigation published in 1992 reported 35 cases failing first-line therapy with 45% OS at 10 years; the authors identified a poor risk group of patients not achieving a complete response to first-line therapy or relapsing within 1 year since diagnosis [15]. Another study analyzed 176 patients in the period 1986–2003 (51 after progression during or shortly after first-line therapy) [7] and, in agreement with our findings, reported that disease refractory to first-line therapy was the strongest prognostic factor. Patients with progression had 41% disease-free survival after 10 years compared with 86% in patients with relapse, although none of them received ASCR in second remission. Friedmann et al. described 64 relapsed patients in the period 1990–2006 focusing on methods of detection and timing of relapse and concluded that frequent imaging does not appear to impact on survival as most relapses are identified through history and physical examination [14]. Unfortunately, this interesting point could not be addressed in our study. The overall relapse rate of 17.5% observed in our cohort is similar to that reported in other pediatric studies. OS for our patients was 64%, with a median survival time of 88.6 months, and 65.3% of them survived ≥10 years after recurrence. Survival was better for patients recurring after LH2004 protocol, probably due to an improvement of second- and third-line rescue therapy. The duration of first remission was a highly significant prognostic factor. Children who relapsed before or within 3 months from completion of treatment had significantly poorer EFS and OS when compared to those who relapsed later. However, we did not observe a difference between early and late relapse. It is difficult to explain the difference in PD between the two protocols: in the period of enrolment of LH2004, it seems to occur a more aggressive disease, as suggested by the higher number of involved sites. The more frequent assessment of response and a larger use of FDG-PET at the EOT in LH2004 protocol could also have played a role. The patients with PD, in stage 3–4 or with ≥5 involved sites had a very poor survival. These patients should be considered refractory to first-line therapy and also to second-line standard chemotherapy. Probably, they should be treated with more innovative approaches since first progression. Conversely, patients who relapsed later on with a localized disease had a better prognosis and they could be considered for a conservative approach. However, in such patients we were unable to identify a more favorable subset only on the basis of timing of relapse. Even if consistent with evidence from other studies, our results of stratified analysis should be considered cautiously due to the adopted post hoc approach, and they need to be validated in a large independent prospective cohort. The strength of our study is the huge number of patients treated at diagnosis with only two homogenous protocols, and the consequent large population of relapsed patients. To our knowledge, our study is the largest one in a pediatric population. Limitations include the multicenter retrospective design and the analysis of only static variables, like stage and number of involved sites. Early response to salvage therapy was not available, due to the lack of detailed information on salvage therapies, even though they were likely to be quite homogeneous. However, when designing second-line treatment, early response to salvage therapy should be considered and poor responder patients should be moved to a higher risk group and treated with novel therapies [2,16]. In conclusion, current salvage therapeutic approaches are quite effective, with a 65.3% 10-year OS in cHL patients after progression or relapse. However, identification of several prognostic groups should be advisable to address different therapeutic approaches. Our results, in agreement with previous studies, strongly indicate that refractory disease at the first-line treatment represents the most relevant prognostic factor. Advanced stage at recurrence, the number of involved sites and recurrence at the same previously irradiated district could also significantly affect patient survival. Alongside the clinical characteristics, liquid biopsy-based biomarkers, such as cell-free DNA can represent new tools to assess a prognostic stratification at diagnosis. Moreover, it can monitor the quality of response detecting the minimal residual disease, or the recurrence of the disease. These new biomarkers should be considered among the future predictive features, considering the improving technology and the emerging results, even though the requirement of validation in prospective analyses in childhood cHL [17,18,19]. Innovative therapy like Brentuximab alone [20] or combined with Nivolumab [2] or with chemotherapy [21] has been studied in refractory or relapsed patients achieving very high overall and complete response rates, and it should be considered pre and/or post HDCT/ASCR in the poor prognosis patients or in patients resistant to second-line chemotherapies. The use of these drugs in the treatment of low- and standard-risk groups could be considered to decrease long-term toxicity in selected patients and in cooperative trials as their long-term side effects are not well known yet.

5. Conclusions

The identification of prognostic groups of children and adolescents with refractory or relapsing cHL is needed in order to address different therapeutic approaches. In our study, patients with PD, in advanced stage or with ≥5 involved sites had a very poor survival. They should be considered refractory to first- and second-line standard chemotherapy and could be considered for more innovative approaches since the first progression. On the contrary, patients who relapsed later with localized disease had a very good outcome, and they could be addressed to a more conservative therapeutic approach.
  20 in total

Review 1.  Treating Hodgkin lymphoma in the new millennium: Relapsed and refractory disease.

Authors:  Ann S LaCasce
Journal:  Hematol Oncol       Date:  2019-06       Impact factor: 5.271

2.  Salvage therapy of progressive and recurrent Hodgkin's disease: results from a multicenter study of the pediatric DAL/GPOH-HD study group.

Authors:  Günther Schellong; Wolfgang Dörffel; Alexander Claviez; Dieter Körholz; Georg Mann; Hans-G Scheel-Walter; Jos P M Bökkerink; Marianne Riepenhausen; Heike Lüders; Richard Pötter; Ursula Rühl
Journal:  J Clin Oncol       Date:  2005-09-01       Impact factor: 44.544

3.  Risk stratification and prognostic biomarkers in relapsed Hodgkin lymphoma.

Authors:  Paul J Bröckelmann; Bastian von Tresckow
Journal:  Br J Haematol       Date:  2020-06-07       Impact factor: 6.998

4.  Initial response to salvage therapy determines prognosis in relapsed pediatric Hodgkin lymphoma patients.

Authors:  Monika L Metzger; Melissa M Hudson; Matthew J Krasin; Jianrong Wu; Sue C Kaste; Larry E Kun; John T Sandlund; Scott C Howard
Journal:  Cancer       Date:  2010-09-15       Impact factor: 6.860

5.  Brentuximab vedotin with gemcitabine for paediatric and young adult patients with relapsed or refractory Hodgkin's lymphoma (AHOD1221): a Children's Oncology Group, multicentre single-arm, phase 1-2 trial.

Authors:  Peter D Cole; Kathleen M McCarten; Qinglin Pei; Menachem Spira; Monika L Metzger; Richard A Drachtman; Terzah M Horton; Rizvan Bush; Susan M Blaney; Brenda J Weigel; Kara M Kelly
Journal:  Lancet Oncol       Date:  2018-08-16       Impact factor: 41.316

6.  Brentuximab vedotin as consolidation therapy after autologous stem-cell transplantation in patients with Hodgkin's lymphoma at risk of relapse or progression (AETHERA): a randomised, double-blind, placebo-controlled, phase 3 trial.

Authors:  Craig H Moskowitz; Auayporn Nademanee; Tamas Masszi; Edward Agura; Jerzy Holowiecki; Muneer H Abidi; Andy I Chen; Patrick Stiff; Alessandro M Gianni; Angelo Carella; Dzhelil Osmanov; Veronika Bachanova; John Sweetenham; Anna Sureda; Dirk Huebner; Eric L Sievers; Andy Chi; Emily K Larsen; Naomi N Hunder; Jan Walewski
Journal:  Lancet       Date:  2015-03-19       Impact factor: 79.321

7.  The landscape of copy number variations in classical Hodgkin lymphoma: a joint KU Leuven and LYSA study on cell-free DNA.

Authors:  Lieselot Buedts; Iwona Wlodarska; Julio Finalet-Ferreiro; Olivier Gheysens; Luc Dehaspe; Thomas Tousseyn; Luc-Matthieu Fornecker; Julien Lazarovici; René-Olivier Casasnovas; Anne-Claire Gac; Christophe Bonnet; Kamal Bouabdallah; Christiane Copie-Bergman; Bettina Fabiani; Daan Dierickx; Lukas Marcelis; Joris Vermeesch; Marc André; Peter Vandenberghe
Journal:  Blood Adv       Date:  2021-04-13

8.  Reduced-Intensity Conditioning Followed by Related and Unrelated Allografts for Hematologic Malignancies: Expanded Analysis and Long-Term Follow-Up.

Authors:  Erica Dahl Warlick; Todd E DeFor; Nelli Bejanyan; Shernan Holtan; Margaret MacMillan; Bruce R Blazar; Kathryn Dusenbery; Mukta Arora; Veronika Bachanova; Sarah Cooley; Aleksandr Lazaryan; Philip McGlave; Jeffrey S Miller; Armin Rashidi; Arne Slungaard; Gregory Vercellotti; Celalettin Ustun; Claudio Brunsein; Daniel Weisdorf
Journal:  Biol Blood Marrow Transplant       Date:  2018-08-01       Impact factor: 5.742

9.  Comparison of Hodgkin's Lymphoma in Children and Adolescents. A Twenty Year Experience with MH'96 and LH2004 AIEOP (Italian Association of Pediatric Hematology and Oncology) Protocols.

Authors:  Roberta Burnelli; Giulia Fiumana; Roberto Rondelli; Marta Pillon; Alessandra Sala; Alberto Garaventa; Emanuele S G D'Amore; Elena Sabattini; Salvatore Buffardi; Maurizio Bianchi; Luciana Vinti; Marco Zecca; Paola Muggeo; Massimo Provenzi; Piero Farruggia; Francesca Rossi; Salvatore D'Amico; Elena Facchini; Sayla Bernasconi; Raffaela De Santis; Tommaso Casini; Fulvio Porta; Irene D'Alba; Rosamaria Mura; Federico Verzegnassi; Antonella Sau; Simone Cesaro; Katia Perruccio; Monica Cellini; Patrizia Bertolini; Domenico Sperlì; Roberta Pericoli; Daniela Galimberti; Adele Civino; Maurizio Mascarin
Journal:  Cancers (Basel)       Date:  2020-06-18       Impact factor: 6.639

10.  Outcome of children with resistant and relapsed Hodgkin's disease.

Authors:  N D James; J E Kingston; P N Plowman; S Meller; R Pinkerton; A Barrett; R Sandland; T J McElwain; J S Malpas
Journal:  Br J Cancer       Date:  1992-12       Impact factor: 7.640

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