Key Points
Oncogenic mutation subtype appears an important driver of heterogeneity in clinical presentation of pediatric LCH.
Lesional BRAFV600E status is not a significant prognostic factor for event-free survival independent from disease extent.
Abstract
Langerhans cell histiocytosis (LCH) is a rare neoplastic disorder caused by somatic genetic alterations in hematopoietic precursor cells differentiating into CD1a+/CD207+ histiocytes. LCH clinical manifestation is highly heterogeneous. BRAF and MAP2K1 mutations account for ∼80% of genetic driver alterations in neoplastic LCH cells. However, their clinical associations remain incompletely understood. Here, we present an international clinicogenomic study of childhood LCH, investigating 377 patients genotyped for at least BRAFV600E. MAPK pathway gene alterations were detected in 300 (79.6%) patients, including 191 (50.7%) with BRAFV600E, 54 with MAP2K1 mutations, 39 with BRAF exon 12 mutations, 13 with rare BRAF alterations, and 3 with ARAF or KRAS mutations. Our results confirm that BRAFV600E associates with lower age at diagnosis and higher prevalence of multisystem LCH, high-risk disease, and skin involvement. Furthermore, BRAFV600E appeared to correlate with a higher prevalence of central nervous system (CNS)–risk bone lesions. In contrast, MAP2K1 mutations associated with a higher prevalence of single-system (SS)-bone LCH, and BRAF exon 12 deletions seemed to correlate with more lung involvement. Although BRAFV600E correlated with reduced event-free survival in the overall cohort, neither BRAF nor MAP2K1 mutations associated with event-free survival when patients were stratified by disease extent. Thus, the correlation of BRAFV600E with inferior clinical outcome is (primarily) driven by its association with disease extents known for high rates of progression or relapse, including multisystem LCH. These findings advance our understanding of factors underlying the remarkable clinical heterogeneity of LCH but also question the independent prognostic value of lesional BRAFV600E status.
Introduction
Langerhans cell histiocytosis (LCH) is a rare hematologic neoplasm characterized by the accumulation of myeloid-differentiated cells with characteristic CD1a and CD207 expression in various tissues and organs.1-3 This disease primarily affects children, with an incidence similar to pediatric Hodgkin lymphoma.4 The clinical manifestation of LCH is highly heterogeneous, ranging from self-healing skin lesions or a solitary bone lesion to a life-threatening disease involving multiple organ systems (supplemental Figure 1).5 Disease extent is an established prognostic factor in pediatric LCH.6-8 The most severe clinical form of the disease tends to affect young children (aged <2 years) and typically involves risk organs (ROs), including the hematopoietic system, liver, and spleen.9,10 LCH with RO involvement is often refractory to chemotherapy and associated with an increased risk of death; therefore, it is called “high-risk LCH.”11-13 Although overall mortality of patients with LCH is low, a significant proportion of them experiences disease relapses14 and/or develops permanent consequences, such as diabetes insipidus (DI) or neurodegenerative (ND)-LCH. Currently, the biological mechanisms underlying the heterogeneous clinical presentation and outcome of LCH remain incompletely understood.
In 2010, Rollins and colleagues discovered recurrent somatic BRAFV600E mutations in LCH.15 Subsequently, other groups confirmed the presence of BRAFV600E mutations in ∼50% to 60% of patients with LCH,10,16-20 and identified alternative MAPK pathway–activating genetic alterations in patients without BRAFV600E (supplemental Figure 2).17,21-28 Most notably, somatic mutations in MAP2K1 exon 2 or 3 and small insertions and/or deletions (indels) in BRAF exon 12 were recurrently detected.17,22-25 Together, BRAF and MAP2K1 mutations seem to account for ∼80% of genetic driver alterations in pediatric LCH.29,BRAFV600E, MAP2K1, and BRAF exon 12 mutations are essentially mutually exclusive,22 with only very rare cases having co-occurring mutations.30,31
In 2016, Héritier et al reported that BRAFV600E associated with high-risk disease and increased rates of first-line therapy resistance and relapse in 315 patients with pediatric LCH,10 including 173 children (54.6%) with BRAFV600E. Since then, no study has been published with similar or more patients with LCH genotyped for BRAFV600E. Hence, their observations still need to be duly confirmed. Moreover, large cohort studies with molecular data beyond BRAFV600E are needed to determine the clinical impact of recurrent mutations in MAP2K1 or BRAF exon 12, which remain largely unknown.29 Accordingly, here we describe an international clinicogenomic study of childhood LCH, investigating 377 patients genotyped for at least BRAFV600E, including 300 (79.6%) patients with a detected MAPK pathway gene alteration.
Materials and methods
Study design
We performed an international observational cohort study of clinical associations of somatic genetic alterations in pediatric LCH. Patients were included between 2014 and 2021 in a retrospective cohort study of patients with LCH in 4 academic children’s hospitals in The Netherlands and Canada, or they were enrolled between 2013 and 2021 in the prospective LCH-IV clinical study (#NCT02205762/EudraCT 2011-001699-20) in The Netherlands, Italy, Austria, Czech Republic, Sweden, or Denmark. The study was performed in accordance with the Declaration of Helsinki, and ethical approval or a waiver of consent for retrospective research was obtained from the institutional review boards at participating institutions. Written informed consent was obtained from patients and/or their legal representatives when required. Inclusion of patients from the LCH-IV study was approved by the Data and Safety Monitoring Committee (DSMC). Inclusion stopped April 30 2021.
Patient selection and data collection
Patients were identified through registries of involved institutions. Eligibility criteria were (i) a definitive diagnosis of LCH, (ii) age at LCH diagnosis below 18 years, and (iiia) available LCH-lesional BRAFV600E status by polymerase chain reaction (PCR) or sequencing through routine molecular diagnostics or (iiib) availability of formalin-fixed paraffin-embedded (FFPE) LCH tissue for molecular analysis in the specific context of this study. Diagnosis of LCH was confirmed by a combination of clinical findings and the presence of CD1a+ histiocytes in the lesional tissue sample(s). For patients with isolated skin disease, LCH diagnosis also required confirmation of CD207 coexpression by CD1a+ histiocytes, to rule out indeterminate cell histiocytosis, a diagnostic pitfall.32 Patients enrolled in the prospective LCH-IV study were staged, treated, and followed up according to study protocol; other patients were managed according to standard-of-care. Importantly, first-line treatment and follow-up of patients were irrespective of mutational status; no patient received first-line therapy with BRAF and/or MEK inhibitors. Details of data collection are provided in the supplemental Methods.
Disease extent was categorized according to the classification of the LCH Study Group of the Histiocyte Society,9 differentiating between single-system (SS) and multisystem (MS) disease. Within these categories, detailed subtypes were distinguished based on the type of organ(s) involved and/or the manifestation as unifocal or multifocal disease. The hematopoietic system, liver, and spleen were considered ROs,9,33 and bone lesions affecting the orbital, temporal/mastoid, sphenoidal, zygomatic, ethmoidal bones, the maxilla, paranasal sinuses, or anterior or middle cranial fossa were considered central nervous system (CNS)–risk lesions.9,34-36 LCH with RO involvement was termed “high-risk LCH.” Event was defined as disease progression, LCH relapse, or death from any cause. Disease progression was defined as (1) insufficient response and/or progression of existing LCH manifestations requiring the start or a second- or further-line of chemotherapy, targeted therapy, and/or radiotherapy or (2) the development of new lesions in the presence of active disease. Disease relapse was defined as the development of new lesions after complete remission of prior LCH manifestations.
Molecular pathologic analysis
Molecular analysis was performed as part of routine diagnostics and/or in the specific context of this study. Importantly, none of the tissue samples were analyzed by BRAF VE1 immunohistochemistry alone. For (additional) molecular analysis performed in the context of this study, manual microdissection of LCH-lesional FFPE tissue sections was performed based on a CD1a-stained reference slide to obtain representative tissue parts enriched for neoplastic LCH cells,37 thereby increasing the success rate of mutation detection.38 Automated DNA isolation from the microdissected tissue fragments and BRAFV600E allele–specific real-time PCR and/or droplet digital PCR were performed as previously described.39-41 When possible, cases without BRAFV600E were further analyzed using Sanger sequencing and/or a custom-designed AmpliSeq next-generation sequencing (NGS) panel containing primers to detect mutations in MAP2K1 (NM_002755.3) exon 2 to 3 and BRAF (NM_004333.6) exon 12 and 15, as well as in ARAF, MAP3K1, N/KRAS, and many other cancer-associated genes (supplemental Methods).42 Finally, a small proportion of patients without BRAFV600E was analyzed for alternative BRAF alterations by FFPE-targeted locus capture (FFPE-TLC) NGS,43,44 a DNA-based technique able to identify both small variants (eg, single nucleotide variants or small indels) and structural variants (eg, gene rearrangements). Details are available in the supplemental Methods.
Statistical analysis
Comparisons of (sub)groups were performed using the 2-sided Mann-Whitney U or Kruskal-Wallis test for continuous data and 2-sided Fisher or Fisher-Freeman-Halton exact test for categorical data. In general, threshold for significance was P < .05; however, in univariable analysis of LCH presentation according to mutational status P < .00125 was considered statistically significant (Bonferroni correction for multiple testing).10 In addition to significant results, findings insignificant after Bonferroni correction but with P < .05 were highlighted. These represent potential associations but with insufficient statistical evidence in this study and will require further careful evaluation to determine their potential clinical relevance. Variables significant after correction were included in a multivariable binary logistic regression analysis to identify the factor(s) most associated with BRAFV600E after adjustment for the other variables. For hierarchical categorical variables (eg, bone-to-bone subtypes), the primary variable was considered for inclusion (eg, bone). Because RO involvement was restricted to MS LCH, liver and hematopoietic system involvement, both significant in univariable analysis, were not included as independent variables but instead MS-RO+ LCH was added as disease extent category to the regression model. Univariable survival analyses were performed using the Kaplan-Meier method, and survival curves were compared using the log-rank test. Event-free survival (EFS) was defined as the time from diagnosis until the first event or, for cases without an event, the date of last follow-up. To investigate how much of the effect of BRAFV600E on EFS was mediated by disease extent, univariable survival analyses were stratified by disease extent and multivariable survival analysis was performed using Cox regression. Median follow-up was estimated using the reverse Kaplan-Meier method.45 Incidences of DI, ND-LCH, specific sites of disease, chemotherapy, and second-line systemic therapy were indicated by proportions10 because of incomplete time-to-event data for cumulative incidence calculations. Statistical analyses were performed using GraphPad Prism version 9.0.1 or IBM SPSS Statistics version 25.
Results
A total of 377 patients with childhood LCH and available BRAFV600E status were included. This cohort comprised 198 (52.5%) patients from the prospective LCH-IV study and 179 (47.5%) patients from a Dutch/Canadian retrospective study, with comparable clinical characteristics (supplemental Table 1). The combined cohort comprised 222 (58.9%) males and 155 (41.1%) females. Median age at diagnosis was 3.6 years (range, 0.0-17.9 years). Patients could be classified into 288 (76.4%) patients with SS LCH and 89 (23.6%) patients with MS LCH. Patients with SS LCH could be categorized into 184 patients with unifocal bone disease (SS-UFB), 64 patients with multifocal bone disease (SS-MFB), 32 patients with isolated skin disease (SS-skin), and 8 patients with isolated involvement of another organ system, including the lungs (n = 3), lymph nodes (n = 3), CNS (n = 1), or soft tissue (n = 1). Patients with MS LCH could be divided into 55 patients without RO involvement (MS-RO−) and 34 patients with RO involvement (MS-RO+ or high-risk LCH).
MAPK pathway gene alterations were detected in 300 out of 377 (79.6%) patients, including 191 (50.7%) with BRAFV600E (Table 1). In the subgroup without BRAFV600E, MAP2K1 mutations were identified in 54 patients and BRAF exon 12 indels were detected in 39 children (Table 2). MAP2K1 mutations occurred in exon 2 in 36 out of 54 (66.7%) patients and in exon 3 in 18 out of 54 (33.3%) patients. BRAF exon 12 indels included small in-frame deletions at the beginning of exon 12 affecting the β3-αC loop in 27 out of 39 (69.2%) patients and in-frame insertions of 9 nucleotides at the end of exon 12 affecting the αC-β4 loop in 12 out of 39 (30.8%) patients.25,46-48 In the remaining patients in the BRAFV600E− group, BRAF exon 15 mutations other than BRAFV600E (n = 10), BRAF fusions (n = 3), ARAF mutations (n = 2), and a KRAS mutation (n = 1) were detected (supplemental Table 2).
. | BRAFV600E+ . | BRAFV600E− . | Odds ratio (95% confidence interval) . | P value . |
---|---|---|---|---|
Patients, n | 191 | 186 | ||
Age at diagnosis, y, median (range) | 2.6 (0.0-17.6) | 5.7 (0.0-17.9) | N/A | <.001†† |
Age <3 y, n (%) | 105 (55.0) | 66 (35.5) | 2.22 (1.47-3.36) | <.001†† |
Age ≥3 y, n (%) | 86 (45.0) | 120 (64.5) | ||
Sex, n (%) | ||||
Male | 113 (59.2) | 109 (58.6) | 1.02 (0.68-1.54) | .92 |
Female | 78 (40.8) | 77 (41.4) | ||
Disease extent at diagnosis, n (%) | ||||
MS | 64 (33.5) | 25 (13.4) | 3.25 (1.93-5.45) | <.001†† |
SS | 127 (66.5) | 161 (86.6) | ||
Detailed subtype, n (%)∗ | ||||
MS-RO+ | 27 (14.1) | 7 (3.8) | 4.21 (1.79-9.93) | <.001†† |
MS-RO− | 37 (19.4) | 18 (9.7) | 2.24 (1.23-4.10) | .009∗∗ |
SS-bone | 109 (57.1) | 139 (74.7) | 0.45 (0.29-0.70) | <.001†† |
• SS-UFB | 87 (45.5) | 97 (52.2) | 0.77 (0.51-1.15) | .22 |
• SS-UFB, CNS-risk† | 16 (8.4) | 19 (10.2) | 0.80 (0.40-1.62) | .60 |
• SS-MFB | 22 (11.5) | 42 (22.6) | 0.45 (0.26-0.78) | .006∗∗ |
SS-skin | 18 (9.4) | 14 (7.5) | 1.28 (0.62-2.65) | .58 |
SS-other | 0 (0.0) | 8 (4.3)¶ | N/A | .003∗∗ |
Disease site(s) at diagnosis, n (%) | ||||
Bone | 157 (82.2) | 159 (85.5) | 0.78 (0.45-1.36) | .41 |
• MFB lesions | 56 (29.3) | 55 (29.6) | 0.99 (0.63-1.54) | 1 |
• CNS-risk bone lesion(s)† | 64 (33.5) | 40 (21.5) | 1.84 (1.16-2.92) | .011∗∗ |
• Spinal column lesion(s) | 18 (9.4) | 28 (15.1) | 0.59 (0.31-1.10) | .12 |
Skin | 69 (36.1) | 24 (12.9) | 3.82 (2.27-6.43) | <.001†† |
Liver‡ | 24 (12.6) | 5 (2.7) | 5.20 (1.94-13.95) | <.001†† |
Hematopoietic system‡ | 19 (9.9) | 3 (1.6) | 6.74 (1.96-23.18) | .001†† |
Spleen‡ | 15 (7.9) | 4 (2.2) | 3.88 (1.26-11.91) | .017∗∗ |
Lymph node | 17 (8.9) | 17 (9.1) | 0.97 (0.48-1.97) | 1 |
Lung | 10 (5.2) | 14 (7.5) | 0.68 (0.29-1.57) | .40 |
CNS§ | 8 (4.2) | 4 (2.2) | 1.99 (0.59-6.72) | .38 |
Gastrointestinal tract | 7 (3.7) | 0 (0.0) | N/A | .015∗∗ |
Follow-up, y, median (range) | 4.0 (0.0-38.8) | 3.8 (0.0-36.0) | N/A | .61# |
Permanent consequences developed during follow-up, n (%) | ||||
DI | 23 (12.0) | 14 (7.5) | 1.68 (0.84-3.38) | .17 |
ND-LCH‖ | 5 (2.6) | 0 (0.0) | N/A | .06 |
Death, n | 4 | 4 | N/A | .97# |
. | BRAFV600E+ . | BRAFV600E− . | Odds ratio (95% confidence interval) . | P value . |
---|---|---|---|---|
Patients, n | 191 | 186 | ||
Age at diagnosis, y, median (range) | 2.6 (0.0-17.6) | 5.7 (0.0-17.9) | N/A | <.001†† |
Age <3 y, n (%) | 105 (55.0) | 66 (35.5) | 2.22 (1.47-3.36) | <.001†† |
Age ≥3 y, n (%) | 86 (45.0) | 120 (64.5) | ||
Sex, n (%) | ||||
Male | 113 (59.2) | 109 (58.6) | 1.02 (0.68-1.54) | .92 |
Female | 78 (40.8) | 77 (41.4) | ||
Disease extent at diagnosis, n (%) | ||||
MS | 64 (33.5) | 25 (13.4) | 3.25 (1.93-5.45) | <.001†† |
SS | 127 (66.5) | 161 (86.6) | ||
Detailed subtype, n (%)∗ | ||||
MS-RO+ | 27 (14.1) | 7 (3.8) | 4.21 (1.79-9.93) | <.001†† |
MS-RO− | 37 (19.4) | 18 (9.7) | 2.24 (1.23-4.10) | .009∗∗ |
SS-bone | 109 (57.1) | 139 (74.7) | 0.45 (0.29-0.70) | <.001†† |
• SS-UFB | 87 (45.5) | 97 (52.2) | 0.77 (0.51-1.15) | .22 |
• SS-UFB, CNS-risk† | 16 (8.4) | 19 (10.2) | 0.80 (0.40-1.62) | .60 |
• SS-MFB | 22 (11.5) | 42 (22.6) | 0.45 (0.26-0.78) | .006∗∗ |
SS-skin | 18 (9.4) | 14 (7.5) | 1.28 (0.62-2.65) | .58 |
SS-other | 0 (0.0) | 8 (4.3)¶ | N/A | .003∗∗ |
Disease site(s) at diagnosis, n (%) | ||||
Bone | 157 (82.2) | 159 (85.5) | 0.78 (0.45-1.36) | .41 |
• MFB lesions | 56 (29.3) | 55 (29.6) | 0.99 (0.63-1.54) | 1 |
• CNS-risk bone lesion(s)† | 64 (33.5) | 40 (21.5) | 1.84 (1.16-2.92) | .011∗∗ |
• Spinal column lesion(s) | 18 (9.4) | 28 (15.1) | 0.59 (0.31-1.10) | .12 |
Skin | 69 (36.1) | 24 (12.9) | 3.82 (2.27-6.43) | <.001†† |
Liver‡ | 24 (12.6) | 5 (2.7) | 5.20 (1.94-13.95) | <.001†† |
Hematopoietic system‡ | 19 (9.9) | 3 (1.6) | 6.74 (1.96-23.18) | .001†† |
Spleen‡ | 15 (7.9) | 4 (2.2) | 3.88 (1.26-11.91) | .017∗∗ |
Lymph node | 17 (8.9) | 17 (9.1) | 0.97 (0.48-1.97) | 1 |
Lung | 10 (5.2) | 14 (7.5) | 0.68 (0.29-1.57) | .40 |
CNS§ | 8 (4.2) | 4 (2.2) | 1.99 (0.59-6.72) | .38 |
Gastrointestinal tract | 7 (3.7) | 0 (0.0) | N/A | .015∗∗ |
Follow-up, y, median (range) | 4.0 (0.0-38.8) | 3.8 (0.0-36.0) | N/A | .61# |
Permanent consequences developed during follow-up, n (%) | ||||
DI | 23 (12.0) | 14 (7.5) | 1.68 (0.84-3.38) | .17 |
ND-LCH‖ | 5 (2.6) | 0 (0.0) | N/A | .06 |
Death, n | 4 | 4 | N/A | .97# |
N/A, not available.
Fisher exact tests comparing patients with vs without a disease extent subtype are shown. Fisher-Freeman-Halton exact test comparing proportions in all different subgroups (a contingency table larger than 2 × 2) is not shown but was significant (P < .001).
Bone lesions affecting the orbital, temporal/mastoid, sphenoidal, zygomatic, or ethmoidal bones, the maxilla, paranasal sinuses, or anterior or middle cranial fossa.
These organs are considered ROs.
Given that the posterior pituitary and pituitary stalk are direct extensions of the hypothalamus, pituitary tumors are classified as CNS involvement. All 12 patients with CNS involvement at diagnosis had tumorous lesions, for example, pituitary stalk lesions.
Only patients with both clinical and radiologic ND-LCH are reported.
These 8 patients comprised 3 patients with SS-lung LCH, 3 patients with SS-lymph node LCH, and single cases with SS-soft tissue or (tumorous) SS-CNS disease.
Obtained with the log-rank test.
P < .05.
P < .00125 (Bonferroni correction for multiple testing; tests are shown in this table and supplemental Table 3).
. | MAP2K1 mutated . | BRAF exon 12 mutated . | ||||
---|---|---|---|---|---|---|
MAP2K1 exon 2 . | MAP2K1 exon 3 . | All patients . | In-frame deletions . | In-frame insertions . | All patients . | |
Patients, n | 36 | 18 | 54 | 27 | 12 | 39 |
Age at diagnosis, y, median (range) | 2.7 (0.0-15.1) | 8.3 (1.7-17.1) | 4.8 (0.0-17.1) | 3.4 (0.2-17.9) | 6.2 (0.5-14.4) | 5.9 (0.2-17.9) |
Age <3 y, n (%) | 19 (52.8) | 1 (5.6) | 20 (37.0) | 12 (44.4) | 3 (25.0) | 15 (38.5) |
Age ≥3 y, n (%) | 17 (47.2) | 17 (94.4) | 34 (63.0) | 15 (55.6) | 9 (75.0) | 24 (61.5) |
Sex, n (%) | ||||||
Male | 23 (63.9) | 10 (55.6) | 33 (61.1) | 16 (59.3) | 5 (41.7) | 21 (53.8) |
Female | 13 (36.1) | 8 (44.4) | 21 (38.9) | 11 (40.7) | 7 (58.3) | 18 (46.2) |
Disease extent at diagnosis, n (%) | ||||||
MS | 3 (8.3) | 1 (5.6) | 4 (7.4) | 7 (25.9) | 1 (8.3) | 8 (20.5) |
SS | 33 (91.7) | 17 (94.4) | 50 (92.6) | 20 (74.1) | 11 (91.7) | 31 (79.5) |
Detailed subtype, n (%) | ||||||
MS-RO+ | 1 (2.8) | 0 (0.0) | 1 (1.9) | 3 (11.1) | 0 (0.0) | 3 (7.7) |
MS-RO− | 2 (5.6) | 1 (5.6) | 3 (5.6) | 4 (14.8) | 1 (8.3) | 5 (12.8) |
SS-bone | 30 (83.3) | 16 (88.9) | 46 (85.2) | 15 (55.6) | 11 (91.7) | 26 (66.7) |
• SS-UFB | 22 (61.1) | 13 (72.2) | 35 (64.8) | 11 (40.7) | 8 (66.7) | 19 (48.7) |
• SS-UFB, CNS-risk | 4 (11.1) | 1 (5.6) | 5 (9.3) | 4 (14.8) | 2 (16.7) | 6 (15.4) |
• SS-MFB | 8 (22.2) | 3 (16.7) | 11 (20.4) | 4 (14.8) | 3 (25.0) | 7 (17.9) |
SS-skin | 3 (8.3) | 0 (0.0) | 3 (5.6) | 2 (7.4) | 0 (0.0) | 2 (5.1) |
SS-other | 0 (0.0) | 1 (5.6) | 1 (1.9) | 3 (11.1) | 0 (0.0) | 3 (7.7) |
Disease site(s) at diagnosis, n (%) | ||||||
Bone | 33 (91.7) | 17 (94.4) | 50 (92.6) | 20 (74.1) | 12 (100) | 32 (82.1) |
• MFB lesions | 11 (30.6) | 3 (16.7) | 14 (25.9) | 7 (25.9) | 3 (25.0) | 10 (25.6) |
• CNS-risk bone lesion(s) | 8 (22.2) | 1 (5.6) | 9 (16.7) | 8 (29.6) | 3 (25.0) | 11 (28.2) |
• Spinal column lesion(s) | 6 (16.7) | 2 (11.1) | 8 (14.8) | 5 (18.5) | 2 (16.7) | 7 (17.9) |
Skin | 5 (13.9) | 0 (0.0) | 5 (9.3) | 6 (22.2) | 0 (0.0) | 6 (15.4) |
Liver | 0 (0.0) | 0 (0.0) | 0 (0.0) | 3 (11.1) | 0 (0.0) | 3 (7.7) |
Hematopoietic system | 1 (2.8) | 0 (0.0) | 1 (1.9) | 1 (3.7) | 0 (0.0) | 1 (2.6) |
Spleen | 0 (0.0) | 0 (0) | 0 (0.0) | 2 (7.4) | 0 (0.0) | 2 (5.1) |
Lymph node | 2 (5.6) | 2 (11.1) | 4 (7.4) | 4 (14.8) | 1 (8.3) | 5 (12.8) |
Lung | 1 (2.8) | 0 (0.0) | 1 (1.9) | 6 (22.2) | 0 (0.0) | 6 (15.4) |
CNS | 1 (2.8) | 0 (0.0) | 1 (1.9) | 1 (3.7) | 0 (0.0) | 1 (2.6) |
Follow-up, y, median (range) | 2.7 (0.2-15.2) | 4.3 (1.4-30.4) | 3.7 (0.2-30.4) | 6.3 (0.4-27.0) | 3.5 (0.7-9.4) | 5.3 (0.4-27.0) |
Permanent consequences developed during follow-up, n (%) | ||||||
DI | 1 (2.8) | 1 (5.6) | 2 (3.7) | 5 (18.5) | 0 (0.0) | 5 (12.8) |
Death, n | 2 | 0 | 2 | 2 | 0 | 2 |
. | MAP2K1 mutated . | BRAF exon 12 mutated . | ||||
---|---|---|---|---|---|---|
MAP2K1 exon 2 . | MAP2K1 exon 3 . | All patients . | In-frame deletions . | In-frame insertions . | All patients . | |
Patients, n | 36 | 18 | 54 | 27 | 12 | 39 |
Age at diagnosis, y, median (range) | 2.7 (0.0-15.1) | 8.3 (1.7-17.1) | 4.8 (0.0-17.1) | 3.4 (0.2-17.9) | 6.2 (0.5-14.4) | 5.9 (0.2-17.9) |
Age <3 y, n (%) | 19 (52.8) | 1 (5.6) | 20 (37.0) | 12 (44.4) | 3 (25.0) | 15 (38.5) |
Age ≥3 y, n (%) | 17 (47.2) | 17 (94.4) | 34 (63.0) | 15 (55.6) | 9 (75.0) | 24 (61.5) |
Sex, n (%) | ||||||
Male | 23 (63.9) | 10 (55.6) | 33 (61.1) | 16 (59.3) | 5 (41.7) | 21 (53.8) |
Female | 13 (36.1) | 8 (44.4) | 21 (38.9) | 11 (40.7) | 7 (58.3) | 18 (46.2) |
Disease extent at diagnosis, n (%) | ||||||
MS | 3 (8.3) | 1 (5.6) | 4 (7.4) | 7 (25.9) | 1 (8.3) | 8 (20.5) |
SS | 33 (91.7) | 17 (94.4) | 50 (92.6) | 20 (74.1) | 11 (91.7) | 31 (79.5) |
Detailed subtype, n (%) | ||||||
MS-RO+ | 1 (2.8) | 0 (0.0) | 1 (1.9) | 3 (11.1) | 0 (0.0) | 3 (7.7) |
MS-RO− | 2 (5.6) | 1 (5.6) | 3 (5.6) | 4 (14.8) | 1 (8.3) | 5 (12.8) |
SS-bone | 30 (83.3) | 16 (88.9) | 46 (85.2) | 15 (55.6) | 11 (91.7) | 26 (66.7) |
• SS-UFB | 22 (61.1) | 13 (72.2) | 35 (64.8) | 11 (40.7) | 8 (66.7) | 19 (48.7) |
• SS-UFB, CNS-risk | 4 (11.1) | 1 (5.6) | 5 (9.3) | 4 (14.8) | 2 (16.7) | 6 (15.4) |
• SS-MFB | 8 (22.2) | 3 (16.7) | 11 (20.4) | 4 (14.8) | 3 (25.0) | 7 (17.9) |
SS-skin | 3 (8.3) | 0 (0.0) | 3 (5.6) | 2 (7.4) | 0 (0.0) | 2 (5.1) |
SS-other | 0 (0.0) | 1 (5.6) | 1 (1.9) | 3 (11.1) | 0 (0.0) | 3 (7.7) |
Disease site(s) at diagnosis, n (%) | ||||||
Bone | 33 (91.7) | 17 (94.4) | 50 (92.6) | 20 (74.1) | 12 (100) | 32 (82.1) |
• MFB lesions | 11 (30.6) | 3 (16.7) | 14 (25.9) | 7 (25.9) | 3 (25.0) | 10 (25.6) |
• CNS-risk bone lesion(s) | 8 (22.2) | 1 (5.6) | 9 (16.7) | 8 (29.6) | 3 (25.0) | 11 (28.2) |
• Spinal column lesion(s) | 6 (16.7) | 2 (11.1) | 8 (14.8) | 5 (18.5) | 2 (16.7) | 7 (17.9) |
Skin | 5 (13.9) | 0 (0.0) | 5 (9.3) | 6 (22.2) | 0 (0.0) | 6 (15.4) |
Liver | 0 (0.0) | 0 (0.0) | 0 (0.0) | 3 (11.1) | 0 (0.0) | 3 (7.7) |
Hematopoietic system | 1 (2.8) | 0 (0.0) | 1 (1.9) | 1 (3.7) | 0 (0.0) | 1 (2.6) |
Spleen | 0 (0.0) | 0 (0) | 0 (0.0) | 2 (7.4) | 0 (0.0) | 2 (5.1) |
Lymph node | 2 (5.6) | 2 (11.1) | 4 (7.4) | 4 (14.8) | 1 (8.3) | 5 (12.8) |
Lung | 1 (2.8) | 0 (0.0) | 1 (1.9) | 6 (22.2) | 0 (0.0) | 6 (15.4) |
CNS | 1 (2.8) | 0 (0.0) | 1 (1.9) | 1 (3.7) | 0 (0.0) | 1 (2.6) |
Follow-up, y, median (range) | 2.7 (0.2-15.2) | 4.3 (1.4-30.4) | 3.7 (0.2-30.4) | 6.3 (0.4-27.0) | 3.5 (0.7-9.4) | 5.3 (0.4-27.0) |
Permanent consequences developed during follow-up, n (%) | ||||||
DI | 1 (2.8) | 1 (5.6) | 2 (3.7) | 5 (18.5) | 0 (0.0) | 5 (12.8) |
Death, n | 2 | 0 | 2 | 2 | 0 | 2 |
BRAFV600E status in relation to clinical presentation
BRAFV600E correlated with demographic characteristics, disease extent, and specific sites of disease at diagnosis (Figure 1; Table 1; supplemental Table 3). Patients with BRAFV600E were significantly younger than patients without BRAFV600E (median age, 2.6 years vs 5.7 years; P < .001). In addition, patients with BRAFV600E more often had MS LCH (33.5% vs 13.4%; P < .001; Figure 1A) and high-risk disease (14.1% vs 3.8%; P < .001). Regarding sites of disease, BRAFV600E significantly associated with more involvement of the skin (P < .001), liver (P < .001), and hematopoietic system (P = .001), and with less involvement of the upper extremity bones (P = .001; Figure 1B). Within SS-skin LCH, BRAFV600E was significantly associated with multifocal skin involvement (P = .001; Figure 1C).
Concerning potential associations, BRAFV600E seemed associated with less SS-MFB disease (P = .006; Figure 1A). Furthermore, BRAFV600E appeared to correlate with a higher prevalence of spleen involvement (P = .017), gastrointestinal involvement (P = .015; Table 1), and CNS-risk bone lesions (P = .011; Figure 1B). When analyzing sites of disease during entire follow-up, including at LCH progression and/or relapse, these potential associations remained apparent (supplemental Figure 3; supplemental Table 4).
In multivariable analysis with age, disease extent (categorized as SS/MS-RO−/MS-RO+ LCH), and skin involvement as independent variables (supplemental Table 5A), BRAFV600E was significantly associated with skin involvement (odds ratio [OR], 2.23; 95% confidence interval [CI], 1.16-4.29; P = .017). However, OR was highest for MS-RO+ disease extent (OR, 2.54; 95% CI, 0.99-6.54; P = .05). In a regression model with age, MS disease (irrespective of RO status), and skin involvement as independent variables, BRAFV600E was significantly associated with both MS disease and skin involvement (supplemental Table 5B).
MAP2K1 and BRAF exon 12 mutations in relation to clinical presentation
MAP2K1 mutations also correlated with clinical features at diagnosis (Figure 2; supplemental Table 6). Compared with children with BRAFV600E, patients with MAP2K1 mutations had significantly more SS-bone LCH (85.2% vs 57.1%; P < .001; Figure 2D) and less MS LCH (7.4% vs 33.5%; P < .001; Figure 2E) and skin involvement (9.3% vs 36.1%; P < .001; Figure 2G). MAP2K1 mutations also appeared to correlate with more SS-bone disease when compared with BRAF exon 12 mutations (P = .045; Figure 2D), particularly compared with BRAF exon 12 deletions affecting the β3-αC loop (P = .006; supplemental Figure 4B). Regarding subtypes of bone involvement, patients with MAP2K1 mutations had the lowest prevalence of CNS-risk bone lesions, despite having the most bone involvement (Figure 2F). Children with MAP2K1 mutations did have the highest prevalence of bone lesions in the upper extremities and/or shoulder girdle (supplemental Figure 5). Regarding demographic characteristics, MAP2K1 mutations appeared to correlate with older age at diagnosis when compared with BRAFV600E (P = .011; Figure 2B).
Similar to what was observed for MAP2K1 mutations, BRAF exon 12 indels seemed associated with older age at diagnosis (P = .049; Figure 2B) and less skin involvement (P = .014; Figure 2G) when compared with BRAFV600E. Furthermore, BRAF exon 12 mutations appeared to correlate with a higher prevalence of lung involvement when compared with BRAFV600E (P = .035) or MAP2K1 mutations (P = .020; Figure 2H). Pulmonary involvement was particularly frequent in patients with BRAF exon 12 deletions affecting the β3-αC loop (6/27 [22.2%]; supplemental Figure 4F). Notably, BRAF exon 12 deletions were also detected in 3 out of 7 patients (43%) with thymic involvement49-51; the other 4 patients had alternative BRAF alterations (supplemental Figure 6).
BRAFV600E status in relation to clinical outcome
Follow-up was similar for patients with BRAFV600E and patients without BRAFV600E (median, 4.0 years vs 3.8 years; P = .61). In the overall cohort, children with BRAFV600E had significantly reduced EFS (5-year EFS, 54.1%; standard error ± 4.4% vs 59.9%; standard error ± 4.4%; P = .038; Figure 3A) but not reduced overall survival (supplemental Figure 7). Patients with BRAFV600E mutations also more frequently received second-line systemic therapy (29.1% vs 15.8%; supplemental Table 7). When patients were stratified by disease extent, however, BRAFV600E no longer associated with outcome parameters like EFS (Figure 3B-D). Children with BRAFV600E mutations particularly had noninferior EFS in the subgroups of patients with SS-UFB disease (Figure 3D) or SS-MFB LCH (supplemental Figure 8), representing almost two-thirds of all patients (66%) in our cohort. In addition, disease extent but not lesional BRAFV600E status was associated with EFS in multivariable survival analysis of the overall cohort (BRAFV600E, hazard ratio, 1.08; 95% CI, 0.75-1.55; P = .67; supplemental Table 8).
MAP2K1 and BRAF exon 12 mutations in relation to clinical outcome
Follow-up was similar for patients with BRAFV600E, MAP2K1, and BRAF exon 12 mutations (median, 4.0 years vs 3.7 years vs 5.3 years, respectively; P = .87). No significant differences in EFS were observed between the 3 molecular subgroups, particularly after patient stratification by disease extent (Figure 3E-F; supplemental Figure 8). Incidence of DI was similar among children with BRAFV600E or BRAF exon 12 mutations (12.0% vs 12.8%) and higher than among children with MAP2K1 mutations (3.7%), although not statistically significant (Tables 1 and 2; supplemental Table 6).
Clinical features of patients with LCH with alternative MAPK pathway gene alterations
Rare MAPK pathway gene alterations were identified in 16 patients without BRAFV600E (supplemental Tables 2 and 11). Ten children had a BRAF exon 15 mutation other than BRAFV600E, including 6 with a BRAFV600D mutation,52 and single cases with a BRAF p.T599_V600insEAT, BRAF p.T599_V600insEKST, BRAF p.V600_R603delinsEKSQ, or BRAF p.V600_W604delinsESRG mutation. All 6 patients with BRAFV600D had SS-bone LCH (either UFB or MFB); none of them developed disease in another organ system during follow-up (median, 4.7 years; range, 0.6-12.6 years). However, several patients with BRAFV600D mutations had uncommon abscess-like soft tissue extension through the skin (Figure 4E; supplemental Table 2).53 The patient with the BRAF p.V600_R603delinsEKSQ mutation had MS-RO+ disease and required second- and third-line chemotherapy. BRAF fusions were identified in 3 patients using FFPE-TLC NGS (Figure 4A-D; supplemental Figure 10).44 All 3 cases had different BRAF fusion partners, including TMEM106B, DOCK8, and BICD2. Two of 3 patients with BRAF rearrangements had SS-bone LCH without progression or relapse during their follow-up (5.4 or 27.5 years); the remaining patient with a BICD2::BRAF fusion had MS-RO− disease with uncommon large tumors in both lungs (Figure 4G) instead of small nodules and cysts typical for pulmonary LCH.54-56 This patient had progressive disease despite 2 lines of chemotherapy and recently received MEK inhibition (trametinib) with a complete metabolic response after 6 months of treatment. The ARAF and KRAS mutations were confined to patients with SS-bone LCH.
Additional MAPK pathway gene alterations were identified in 3 BRAFV600E+ cases, including 1 previously reported patient with a MAP3K1 mutation.24 The other 2 cases had an additional BRAF p.R603Q mutation, previously also reported in another child with BRAFV600E-mutated LCH.17 One of our patients had SS-UFB LCH with multiple bone relapses during follow-up, requiring multiple lines of chemotherapy. The other patient had MS-RO+ disease and required second-line chemotherapy with cladribine because of progression of lung lesions. Eventually, all patients reached complete remission (supplemental Table 2).
Discussion
Through an international collaborative effort, we present here a large clinicogenomic study of childhood LCH. We confirm findings of previous research, most notably by Héritier et al,10 but also reveal new associations of BRAF and MAP2K1 mutations with clinical features at presentation (Table 3). In addition, we highlight that lesional BRAFV600E status did not correlate with inferior clinical outcome after patient stratification by disease extent, a prognostic factor known for decades.6-8
For associations of BRAFV600E, BRAFV600E+ (n = 191) vs BRAFV600E− (n = 186) patients were compared. For associations of MAP2K1 or BRAF exon 12 mutations, assignment is based on the statistical comparison of patients with MAP2K1 mutations (n = 54) or BRAF exon 12 mutations (n = 39) with patients with BRAFV600E, respectively. Associations of MAP2K1 or BRAF exon 12 mutations required (1) a difference with patients with BRAFV600E resulting in a Fisher exact test P < .05 (for potential associations) or P < 0.00125 (for significant associations) and (2) a difference between patients with MAP2K1 and BRAF exon 12 mutations resulting in a Fisher exact test P < .05.
Regarding BRAFV600E, our study points at a potential association with a higher prevalence of gastrointestinal involvement (Table 1). Interestingly, gastrointestinal involvement was recently shown to provide additive unfavorable prognostic impact in patients with high-risk LCH.61 Together, these data further support that BRAFV600E associates with the most severe clinical presentations of pediatric LCH. BRAFV600E also seemed more prevalent in patients with CNS-risk bone lesions; thus, BRAFV600E now appears to associate with all disease characteristics known to correlate with clinical ND-LCH, including MS disease, skin and pituitary involvement, and CNS-risk bone lesions.10,34,35,62 Accordingly, all 5 patients with clinical ND-LCH in our cohort harbored BRAFV600E (Table 1) and had at least one of these disease characteristics. Although we confirm that BRAFV600E correlates with reduced EFS in the overall cohort,10 we show that this is (primarily) driven by the association of BRAFV600E with disease extents known for high rates of progression or relapse (supplemental Figure 11), including MS LCH and SS-multifocal skin disease (supplemental Figure 9). This insight did not emerge from the study by Héritier et al10 because the univariable survival analyses presented in their study were only stratified by RO involvement, with MS-RO− and SS-multifocal skin disease still overrepresented in patients with BRAFV600E in the low-risk disease subgroup (Figure 3B). Interestingly, lesional BRAFV600E status also did not correlate with inferior clinical outcome in recent molecular studies of adult LCH.31,63-65 Thus, the quest for independent prognostic factors in LCH continues.
Our study confirms that MAP2K1 mutations in pediatric LCH predominantly occur in exon 2, affecting the αA-helix of MEK1 (Figure 5; supplemental Figure 12),66,67 with p.Q58_E62del as the most detected mutation (supplemental Table 9).19 The distinction between MAP2K1 exon 2 or 3 mutations is important because the mutations in exon 2 are RAF-regulated, whereas the deletions in exon 3 are RAF and phosphorylation independent.68 Consequently, these MAP2K1 exon 3 deletions are less sensitive to allosteric MEK inhibitors, such as trametinib or cobimetinib.67,68 In addition, these so-called “class 3 MAP2K1 mutants” result in higher activation of downstream extracellular signal-regulated kinase (ERK) in vitro when compared with MAP2K1 exon 2 mutations.68 Therefore, one could hypothesize that MAP2K1 exon 3 deletions might associate with a more severe clinical phenotype; however, only 1 out of 17 children in our cohort with these mutations had MS LCH (Table 2). In addition, their EFS was not significantly worse than of children with MAP2K1 exon 2 mutations (supplemental Figure 13). In general, our study points out that MAP2K1 mutations typically correlate with a less-severe clinical presentation of pediatric LCH, with significantly more SS-bone LCH and less MS disease compared with BRAFV600E (Figure 2).
BRAF exon 12 mutations predominantly comprised small in-frame deletions affecting the β3-αC loop of the BRAF protein (Figure 5; supplemental Figure 12).25 Like in adult LCH,63,BRAF p.N486_P490del was the most detected mutation (supplemental Table 10). In addition, insertions at the end of BRAF exon 12 affecting the αC-β4 loop (Figure 5) were detected in 12 patients.48 These patients comprised 11 children with the BRAF p.R506_K507insLLR mutation, first described in 2 cases by Héritier et al,28 and 1 child with a BRAF p.L505_R506insTLL mutation. Importantly, both β3-αC and αC-β4 loop mutations are resistant to first-generation BRAF inhibitors like vemurafenib.25,28,46,48 In accordance with the 2 cases reported by Héritier et al,28 the αC-β4 loop insertions predominantly occurred in children with SS-UFB LCH (Table 2). Yet, we also identified this mutation in 1 child with MS LCH that had multiple bone relapses and required 4 lines of chemotherapy, again demonstrating that (recurrent) mutations are not completely specific to 1 clinical form of the disease. Interestingly, BRAF exon 12 deletions affecting the β3-αC loop seemed to associate with a high prevalence of lung involvement. This is in accordance with molecular studies of adult LCH, which described the frequent presence of these mutations in patients with adult LCH with pulmonary involvement,31,63,64 often in the context of MS disease. Thus, molecular analysis of BRAF exon 12 should be particularly applied in patients with pulmonary lesions,54,56 which may inform LCH diagnosis and enable rational, targeted therapy.
Finally, alternative MAPK pathway gene alterations seemed related to some uncommon disease manifestations, since we observed rare abscess-like soft tissue extension in several patients with BRAFV600D mutations and atypical solid lung lesions in our case with a BICD2::BRAF fusion. Notably, all 3 cases with a BRAF fusion had different fusion partners, which stands in contrast to the high prevalence of 1 specific ALK fusion partner (KIF5B) in patients with ALK+ histiocytosis.69 Thus, comprehensive molecular techniques are essential for detection of these rare genetic variants; their identification may have clinical consequences, as illustrated by our BICD2::BRAF+ case that received third-line systemic therapy with trametinib and obtained a complete metabolic response (supplemental Table 2).
Altogether, these data indicate that oncogenic mutation subtype appears an important, but not the sole, driver of heterogeneity in clinical presentation of pediatric LCH. With increasing access to targeted therapies, identification of the precise somatic driver alteration in patients that could benefit from these agents is important, as mutation subtype influences responsiveness to BRAF and MEK inhibitors. Factors other than mutation subtype seem more involved in driving heterogeneous outcomes within clinical subgroups. To this end, (longitudinal) assessment of mutant alleles in cellular or cell-free DNA derived from peripheral blood and/or bone marrow represents an interesting opportunity for prognostic staging and monitoring response to therapy.70-79
Why specific mutations associate with distinct LCH clinical presentations remains an interesting and important issue for further investigation.80 Notably, specific genetic alterations also associate with distinct histiocytic entities,17,69,81 again demonstrating the intimate relationship between molecular pathogenesis and clinical histiocytosis phenotype. Differential ERK activation inflicted by the different genetic alterations may play a role,5,68 although this was not apparent for MAP2K1 exon 2 vs exon 3 mutations in our cohort. In addition, the association of BRAFV600E with severe clinical forms of LCH may rely on (thus far unknown) mediators or confounders, such as additional (epi)genomic alterations, tissue- or context-specific factors, and the mutated cell-of-origin (supplemental Figure 11). Although previous whole-exome sequencing studies have revealed infrequent additional genomic alterations in LCH,17,22,25 several studies have indicated a distinct impact of BRAFV600E on the LCH-lesional immune microenvironment.37,82,83 Furthermore, several studies have suggested an important role for the mutated cell-of-origin in governing LCH clinical phenotype, with high-risk disease caused by mutations in multipotent hematopoietic stem/progenitor cells and low-risk disease caused by the same mutations in more committed myeloid precursors.16,84,85 However, this simplified model also does not fully explain LCH clinical phenotype, as recent studies have identified mutation-carrying (myeloid and lymphoid) cells in the blood from patients with low-risk or even SS LCH.41,84,86 Therefore, it remains important to elucidate how somatic mutations in multipotent progenitors can cause both SS and MS LCH and why progenitor cells active in children with high-risk LCH often harbor BRAFV600E.
Limitations of our study include the fact that not all patients without BRAFV600E were analyzed beyond BRAFV600E (Figure 2A). Consequently, our study does not provide exact incidence rates of MAP2K1, BRAF exon 12, and rare MAPK pathway gene alterations. However, these alterations were detected in 109 children with LCH, allowing analysis of their clinical associations at unprecedented scale. Furthermore, because of the retrospective design, we cannot rule out some selection bias influencing the clinical spectrum of our cohort. However, our cohort included 288 (76.4%) patients with SS LCH compared with <70% in the study by Héritier et al,10 strongly arguing against overrepresentation of patients with severe disease. Instead, we regard the relatively unbiased composition of our cohort as one of the strengths of our study. Nevertheless, our findings should be confirmed by sufficiently powered cohort studies; particularly the potential associations require further investigation (Table 3).
Overall, we present an international clinicogenomic study of childhood LCH, defining the clinical impact of recurrent BRAF and MAP2K1 mutations. We demonstrate distinct associations of these driver mutation subtypes with demographic characteristics, disease extent, and specific sites of disease. Another key finding is that mutational status did not associate with EFS when patients were stratified by disease extent. These findings advance our understanding of factors underlying the remarkable clinical heterogeneity of pediatric LCH, and may guide molecular diagnostics beyond BRAFV600E, for example, in children with (severe) lung involvement.56
Acknowledgments
The authors thank Elfriede Thiem, Femke Verwer, Merian van Overveld, Marije van der Waal, Esmée Berends, Marjon Wouters, Ingrid van der Geest, Karsten Nysom, Linda Warren, Veronica Lang, and Jill Beckley for their help with patient enrollment and/or clinical data collection. The authors also thank the Board of Histiocytose Nederland for their support. They thank Maria Luisa Coniglio, Konnie Hebeda, and Leonie Kroeze for providing molecular diagnostics data, Ronald van Eijk for providing TaqMan polymerase chain reaction reagents, Harma Feitsma for supervising formalin-fixed paraffin-embedded–targeted locus capture experiments performed at Cergentis BV, and professor Jelle Goeman for statistical advice.
This study was supported by grants from Histiocytosis Association of America (O.A., C.v.d.B., A.G.S.v.H.), Stichting 1000 Kaarsjes voor Juultje (A.G.S.v.H.), Stichting Kiwanis Run-for-LCH (A.G.S.v.H.), and Histio UK (T.v.W., A.G.S.v.H.).
P.G.K. received an MD/PhD grant from Leiden University Medical Center.
Supplemental Figures 1 and 5 and the visual abstract were made with BioRender.com software, and supplemental Figures 6 and 12 were made with the publicly available OncoPrinter and MutationMapper tools from cBioPortal for Cancer Genomics.87,88
Authorship
Contribution: A.G.S.v.H., C.v.d.B., J.A.M.v.L., O.A., and T.v.W. designed the study; C.v.d.B., O.A., J. Brok, T.v.B.G., K.S., A.B., J.A.M.v.L., C. Hutter, E. Sieni, and M.M. performed patient selection and enrollment; R.M.V., C.J.M.v.N., A.H.G.C., M.A.S.-V., M.J.K., L.K., and C. Hawkins provided tissue samples and/or routinely collected molecular diagnostic data; P.G.K., T.C.E.Z., C.v.d.B., O.A., I.T., R.M.E., J. Brok., T.v.B.G., K.S., A.B., J.A.M.v.L., C. Hutter, E. Sieni, M.M., and A.G.S.v.H. performed clinical data collection; H.B.A. performed LCH-IV clinical data extraction, and M.M. oversaw it; P.G.K., N.S.-W., J. Borst, E.C.S., D.v.E., J.F.S., E. Stelloo, C. Hutter, E. Sieni, T.v.W., and A.G.S.v.H. performed additional molecular genetic analyses; P.G.K. performed analysis of the combined clinicogenomic dataset and made the figures and tables; H.B.A. and U.P. supervised the statistical analyses; P.G.K. and A.G.S.v.H. drafted the manuscript; all authors as well as the DSMC of the LCH-IV clinical study approved the final version of the manuscript prior to submission.
Conflict-of-interest disclosure: J.F.S. and E. Stelloo are employees of Cergentis BV. The remaining authors declare no competing financial interests.
Present address and correspondence: Astrid G. S. van Halteren, Department of Internal Medicine/Clinical Immunology, Erasmus MC, Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands; e-mail: a.vanhalteren@erasmusmc.nl; and Cor van den Bos, Princess Máxima Center for Pediatric Oncology, 3720 AC Bilthoven, The Netherlands; e-mail: c.vandenbos-5@prinsesmaximacentrum.nl.
References
Author notes
Data are available on request from the corresponding authors, Astrid G.S. van Halteren (a.vanhalteren@erasmusmc.nl) and Cor van den Bos (c.vandenbos-5@prinsesmaximacentrum.nl).
The full-text version of this article contains a data supplement.