Citations

Objective: The Pediatric Proton/Photon Consortium Registry (PPCR) is a comprehensive data registry composed of pediatric patients treated with radiation. It was established to expedite outcomes-based research. The attributes which allow the PPCR to be a successful collaboration are reviewed. Methods and materials: Current eligibility criteria are radiotherapy patients < 22 years treated at one of the 15 US participating institutions. Detailed health and treatment data are collected about the disease presentation and treatment exposures, and annually thereafter, in REDCap (Research Electronic Data Capture). DICOM (Digital Imaging and Communications in Medicine) imaging and radiation plans are collected through MIM/MIMcloud. An optional patient-reported quality-of-life (PedsQL) study is administered at 10 sites. Results: Accrual started October 2012 with 2,775 participants enrolled as of 25 July 2019. Most patients, 62.0%, were treated for central nervous system (CNS) tumors, the most common of which are medulloblastoma (n = 349), ependymoma (n = 309), and glial/astrocytoma tumors (n = 279). The most common non-CNS diagnoses are rhabdomyosarcoma (n = 284), Ewing’s sarcoma (n = 153), and neuroblastoma (n = 130). While the majority of participants are US residents, 18.7% come from 36 other countries. Over 685 patients participate in the PedsQL study. Conclusions: The PPCR is a valuable research platform capable of answering countless research questions that will ultimately improve patient care. Centers outside of the USA are invited to participate directly or may engage with the PPCR to align data collection strategies to facilitate large-scale international research. Advances in knowledge: For investigators looking to carry out research in a large pediatric oncology cohort or interested in registry work, this paper provides an updated overview of the PPCR.

Abstract Background: Outcome studies for the unique cohort of young patients with multiple myeloma (MM) are sparse. In general, MM is a heterogenous disease with the genetic signature being one of the major determinants of prognosis. We have recently reported on improvement in overall survival (OS) of young patients with the use of novel agents, but the maximal survival gain has been achieved by integrating autologous stem cell transplant (SCT) to our current approach. Herein, we report on outcomes of patients with MM who were 50 years or younger at diagnosis and stratified by fluorescence in situ hybridization (FISH) results. Our study focuses on t(11;14) myeloma as its prognostic impact remains unclear with the use of novel agents upfront. Methods: Out of 1384 patients with MM, evaluated consecutively at Mayo Clinic, Rochester, MN between 1/1/2000 and 12/31/2011, 290 (21%) were 50 years or younger at diagnosis. Interphase FISH, performed within 100 days of diagnosis of MM, was utilized to stratify patients as high-risk [deletion 17p, t(14;16), t(14;20) or t(4;14)] or standard-risk [normal FISH, trisomies, t(11;14), t(6;14) or monosomy13/deletion 13q]. FISH results were available in 125 young patients that comprise the cohort of interest in the current study. OS from diagnosis was estimated by the Kaplan-Meier method. Results: Median age at diagnosis of MM was 47 years (range: 22 to 50 years) and 58% of the patients were male. At the time of data cut-off (7/31/2014), 45 (36%) patients had died with 90% of all known causes of deaths (n=39) being MM related. FISH abnormalities were noted in 114 (91%) patients. At diagnosis, 46%, 30% and 24% patients were categorized as International Staging System (ISS) stage I, II and III, respectively. The estimated median follow up was 60 months (95% CI: 54-67) and the 5-year OS rate was 69% [median 86 months (95% CI: 76-108)]. Standard (n=100; 80%) and high (n=25; 20%) risk patients had a median OS of 89 months (95% CI: 76-108) and 77.6 months (95% CI: 42-130), respectively (p=0.87). In order to further investigate the similar outcomes between these broad risk-groups with typically diverse disease course, we assessed the outcomes based on the common genetic abnormalities (Table 1) within each of the 2 categories. Presence of t(11;14) (n=37; 29%) was associated with a significantly shorter median OS (76 months) compared to patients with trisomic and normal FISH profile (n=46) (91 months, p=0.01; Figure 1). Patients with t(11;14) also had a significantly shorter median OS compared to those with other standard-risk FISH abnormalities (median OS 96 months, p=0.02). Presence of t(11;14) was not associated with higher plasma cell labeling index (PCLI, p=0.29) or worse ISS stage (p=0.99) compared to patients without t(11;14). OS survival of patients with t(11;14) was similar to those with high risk features (median 76.2 vs. 77.6 months, p=0.32). Of 24 (65%) patients with t(11;14) who underwent SCT, 79% had early SCT (within 12 months from diagnosis). Median OS was 79.4 months (95% CI: 36-108) vs. not reached (NR) (95% CI: 27-NR), respectively (p=0.79) in early versus late SCT. Twenty-one (57%) and 13 (35%) patients with t(11;14) received initial immunomodulatory drugs or bortezomib-based therapies, respectively. Those receiving frontline bortezomib had a higher median OS (76.2 months, 95% CI 76-79) compared to 64.8 months (95% CI 32-108) with other initial agents although it did not reach statistical significance (p=0.78). Conclusion: Presence of t(11;14) is associated with an inferior OS compared to patients with normal FISH, trisomies, or other standard risk abnormalities in young patients with MM. Given, the inherent biases associated with a retrospective study from a referral institution, our findings require external validation. However, our data suggest that our current therapeutic approaches in managing young patients with this unique genetic signature are inadequate. Table 1FISHn(%)Median OS in months (95% CI)t(11;14)37(29)76.2 (53.5-107.7)Trisomies35(28)91.3 (76.4-NR)13/del(13q)11(9)NR (32-NR)Normal11(9)95.5 (45.4-95.6)t(4;14)11(9)NR (40.1-NR)del(17p)/-1710(8)42 (19.2-129.6)t(14;16)4(3)77.6 (42.4-NR)Others6(5)NR (11.5-NR) Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Clinical GVHD staging varies between centers and is not agreed upon by independent reviewers (Weisdorf, BBMT 2003). These inconsistencies help explain why promising GVHD treatments from single center studies have not reproduced in multicenter trials. To address this issue, our international GVHD research consortium has developed guidance that has been refined through consensus following case discussions, resulting in uniform and reproducible GVHD clinical symptom reporting. We record all raw target organ symptom data and apply staging based upon this data (Table 1). Only areas of erythema, bullae and desquamation are quantified because other skin changes are not typical of active GVHD rash. Upper GI symptoms must meet thresholds to diagnose GVHD: anorexia with associated weight loss, nausea and/or 2+ vomiting episodes/day lasting 3+ days. For lower GI GVHD we collect stool volumes excluding formed/mostly-formed stools. Unquantified episodes are counted at 200 ml per episode (3 ml/kg for children <50kg) based upon a chart review of 300 patients with post-BMT diarrhea from any cause. Non-GVHD rectal bleeding that results in flecks or streaks of blood in the stool are ignored for staging. We use the highest daily stool output in the 3 days prior to the diagnosis of lower GI GVHD to determine onset stage and, when available, a 3-day average stool volume for subsequent staging to smooth daily variability. We classify biopsy report interpretation into four standardized categories: Positive (unequivocal presence of GVHD), Equivocal (findings suggestive of GVHD, but the pathologist cannot confirm the diagnosis), Non-diagnostic (no abnormalities or subtle findings insufficient to determine etiology), and Non-GVHD etiology (definitive evidence of another diagnosis without concomitant features suggestive of GVHD). We then combine the biopsy interpretation with clinical decision making to assign an overall confidence level to the diagnosis of GVHD in each target organ (Table 2): Confirmed (positive biopsy, regardless of clinician treatment decision), Probable (GVHD diagnosis is sufficiently favored that treatment is given without a positive biopsy), Possible (symptoms present without a positive biopsy; not treated as GVHD), Negative (no symptoms or symptoms are present but a GVHD diagnosis is not entertained and a non-GVHD etiology is identified). Uniform clinical data collection is essential for future GVHD trials and requires application of clear guidance. While still subject to refinement, these guidelines, in use for 2 years by an international research consortium, are designed to be clear, easy to apply, and for clinical trial use. Table 1. GVHD Target Organ Staging Stage Skin (active erythema only) Liver (bilirubin) Upper GI Lower GI (stool output/day) 0 No active (erythematous) GVHD rash < 2 mg/dl No or intermittent nausea, vomiting or anorexia Adult: < 500 ml/day or <3 episodes/day Child: < 10 ml/kg/day or <4 episodes/day 1 Rash < 25% BSA 2-3 mg/dl Persistent nausea, vomiting or anorexia Adult: 500-999 ml/day or 3-4 episodes/day Child: 10 -19.9 ml/kg/day or 4-6 episodes/day 2 Rash 25 - 50% BSA 3.1-6 mg/dl - Adult: 1000-1500 ml/day or 5-7 episodes/day Child: 20 - 30 ml/kg/day or 7-10 episodes/day 3 Rash > 50% BSA 6.1-15 mg/dl - Adult: >1500 ml/day or >7 episodes/day Child: > 30 ml/kg/day or >10 episodes/day 4 Generalized rash (>50% BSA) and bullous formation or desquamation > 5% BSA >15 mg/dl - Severe abdominal pain with or without ileus, or grossly bloody stool (volume independent) Table 2. Confidence Levels Pathologic evidence Clinician assessment Treatment for acute GVHD Comments Confirmed Unequivocal evidence of GVHD GVHD is the etiology for symptoms Not required GVHD is clearly present even if other etiologies co-exist simultaneously Probable Not required (includes equivocal and non-diagnostic biopsies) GVHD most likely etiology for symptoms Yes GVHD is most likely present but other etiologies may also explain the symptoms and there insufficient evidence to make a confirmed diagnosis Possible GVHD in differential diagnosis (but no treatment is being provided) No GVHD may be present, but other etiologies are favored Negative Unequivocal evidence of a diagnosis other than GVHD (e.g., drug rash) GVHD is not considered as an explanation for the symptoms No and the symptoms resolve without GVHD treatment A "negative" biopsy (e.g., normal skin) is not unequivocal evidence of a diagnosis other than GVHD Disclosures Devine: Genzyme: Research Funding. Chen:Bayer: Consultancy, Research Funding. Porter:Novartis: Patents & Royalties, Research Funding. Levine:Novartis: Consultancy.

Abstract Purpose: Clinical trials in APL have generally reported similar outcomes for children and adults. However, sub-group analysis of pediatric patients treated on 2 consecutive trials of the European APL group demonstrated that children <5 years (yr) had an increased risk of relapse (Bally et al., JCO, 2012). Here we report the effect of age < 5 yr on outcome for the North American Intergroup Study C9710. Methods: Outcomes were compared among young children (age <5 yr, n=16) to those of older age (5-12 yr, n=25 and 13-18 yr, n=45) enrolled on C9710. Treatment on C9710 included induction with daunorubicin, cytarabine and ATRA followed by two consolidation cycles with daunorubicin and ATRA and maintenance for one year with ATRA +/- mercaptopurine and methotrexate. Patients of age ≥15 yr were randomized to receive or not receive two 5-week cycles of arsenic trioxide (ATO) before the chemotherapy consolidation. However, analysis in this study of young children compared to those of older age was restricted to patients who did not receive ATO. Results: Clinical remission (CR) rates were similar between the 3 age groups (age <5 yr= 88%, age 5-12 yr= 80%, age 13-18 yr= 82%; P=0.93). Overall survival (OS) Kaplan-Meier estimates were not significantly different (log rank P=0.84), and 5 yr OS rates were 77% (age <5 yr), 80% (age 5-12 yr), and 84% (age 13-18 yr). Similarly, event-free survival (EFS) Kaplan-Meier estimates were not significantly different (log rank P=0.48), and 5 yr EFS rates were 56% (age <5 yr), 47% (age 5-12 yr), and 59% (age 13-18 yr). Young children did not have a higher relapse rate (5-yr cumulative incidence of relapse by age: <5 yr=29%, 5-12 yr=49%, 13-18 yr=29%). Conclusions: Results of this intergroup trial demonstrate that ATRA administration during induction, consolidation and maintenance leads to CR rates >80% and 5 yr OS rates >75%. These results are superior to recently published results of pediatric non-APL acute myeloid leukemia and confirm results from the prior APL intergroup trial (INT0129) that demonstrated that ATRA in induction and/or maintenance significantly improved outcomes for pediatric APL (Gregory et al., Ped Blood and Cancer, 2009). Our sub-group analysis showed no association of age with outcomes in children treated with this regimen. Disclosures Off Label Use: Daunorubicin- labeled for use in AML for adults and for pediatric ALL (not pediatric AML) Arsenic Trioxide- labeled for use in relapsed/refractory APL (not de novo APL) Mercaptopurine and Methotrexate- labeled for use in pediatric ALL (not APL).

Abstract Purpose: Recent studies have demonstrated differential outcomes for adolescents and young adults (AYAs) vs. children treated for acute myeloid leukemia. Here we analyze outcomes by age group for APL patients treated on the North American Intergroup Study C9710. Methods: Patient characteristics and outcomes were compared between children (<15 yr, n=55) vs. AYAs (15-31 yr, n=42). To control for differences in treatment center, only young adults registered at Children’s Oncology Group (COG) treatment sites were included. Treatment included induction with daunorubicin, cytarabine and ATRA. All patients (pts) received two consolidation cycles with daunorubicin and ATRA and maintenance for one year with ATRA +/- mercaptopurine and methotrexate. Pts ≥15 yr were randomized to an additional two cycles of arsenic trioxide (ATO). Sub-group analysis was also performed to exclude pts ≥15 yr who received ATO and thus compare only patients <15 yr vs. ≥15 yr who had not received ATO. Results: Children and AYAs had similar characteristics of gender, race/ethnicity, Sanz risk grouping and M3v histology. Among all pts enrolled at COG sites on the study, complete response (CR) rates were similar (<15yr =85% vs. ≥15yr =81%, P=0.59). AYAs had improved 5 yr disease-free survival (DFS) from time of CR compared to younger pts (<15 yr =47% vs. ≥15 yr =70%, log rank P=0.05), and there was a trend toward difference in 5 yr event-free survival (EFS) (<15 yr =46% vs. ≥15 yr =63%, log rank P=0.13). Overall survival (OS) at 5 years was not significantly different (<15 yr =82% vs. ≥15 yr =75%, log rank P=0.47). Twenty-three of 42 pts ≥15 yr received ATO consolidation cycles, which may have contributed to their improved DFS and EFS. Thus, we analyzed outcomes by removing from the analysis patients ≥15 yr who received ATO consolidation cycles, and compared pts <15 yr who did not receive ATO (n=55) to pts ≥15 yr who were randomized to no ATO (n=19). CR rates were again similar (<15 yr =85% vs. ≥15 yr no ATO =84%, P=1.0). There was no significant difference in other outcomes including 5-yr DFS from time of CR (<15 yr =47% vs. ≥15 yr no ATO =63%, log rank P=0.31), 5-yr EFS (<15 yr =46% vs. ≥15 yr no ATO=53%, log rank P=0.89), or 5-yr OS (<15 yr =82% vs. ≥15 yr no ATO=79%, log rank P=0.78). Conclusions: The C9710 study demonstrated improved EFS, DFS and OS among adult patients receiving ATO consolidation compared to those who did not receive ATO (Powell et al., Blood, 2010). The current analysis of results for AYAs versus younger pediatric pts showed improved DFS among the whole AYA cohort (of which 55% received ATO consolidation) compared to pts <15 yr (of which 0% received ATO). When the analysis was restricted to AYA pts not receiving ATO, however, the results of this intergroup APL trial showed similar CR, DFS, EFS and OS for AYAs and younger pts. Thus, unlike other subtypes of AML, APL appears to have a consistent response across the pediatric and AYA age groups. The most recent COG clinical trial in APL is now evaluating whether pediatric patients can also benefit from ATO consolidation. Disclosures Off Label Use: Daunorubicin- labeled for use in AML for adults and for pediatric ALL (not pediatric AML) Arsenic Trioxide- labeled for use in relapsed/refractory APL (not de novo APL) Mercaptopurine and Methotrexate- labeled for use in pediatric ALL (not APL).

Abstract Acute lymphoblastic leukemia (ALL) in adolescents and young adults (AYA) is characterized by distinct presenting features and inferior prognosis compared to pediatric ALL. Age, as a continuous variable, is negatively correlated with prognosis, in spite of risk-adapted combination chemotherapy. To better understand the etiology of ALL in this age group, we performed the first genome-wide association study (GWAS) to comprehensively examine germline single nucleotide polymorphisms (SNPs) for their association with susceptibility to B-ALL in AYAs. In the discovery GWAS, we compared genotype frequency at 635,297 SNPs between 308 AYA ALL cases (age 16-39 years, treated on the Children’s Oncology Group [COG], the Alliance-Cancer and Leukemia Group B, Eastern Cooperative Oncology Group, MD Anderson Cancer Center, and St. Jude Children’s Research Hospital trials) vs. 6,661 non-ALL controls. The association between genotypes at each SNP and ALL susceptibility was tested by using a logistic regression model after adjusting for genetic ancestries to control for population stratification. SNPs that reached P≤ 5×10-8 in the discovery GWAS were tested in an independent cohort of 82 AYA ALL cases from the COG protocols and 5,755 non-ALL controls. We identified a single genome-wide significant susceptibility locus on 10p14 signified by two SNPs within the GATA3 gene: rs3824662, P=2.8x10-10, odds ratio (OR)=1.77; rs3781093, P=3.2x10-9, OR=1.73, both of which were validated in the replication cohort (P=1.9x10-8 and P=4.3x10-5, respectively). We also examined the association signals in AYAs for susceptibility loci previously identified in pediatric ALL: ARID5B, IKZF1 and PIP4K2A variants were nominally significant in AYAs in the discovery GWAS and/or in the replication analysis, whereas CEBPE or CDKN2A/CDKN2B were not significant. These results imply both similarities and differences in genetic predisposition to ALL between children and AYAs. At the GATA3 locus, rs3824662 risk variant was over-represented in Philadelphia chromosome (Ph)-like ALL in AYAs (P=0.02), confirming our previous report of Ph-like ALL susceptibility variants in GATA3 (Nat Genet 45:1494). Importantly, even after excluding Ph-like cases, rs3824662 remained associated with the risk of developing ALL in AYAs, suggesting that the influence of the GATA3risk variant on ALL susceptibility in AYAs extends beyond the predisposition to Ph-like subtype. We next examined the relationship between GATA3 risk allele frequency and age at diagnosis in a cohort of unselected childhood and adolescent ALL cases enrolled in the COG P9900 protocols (N=1,827). Dividing patients into four consecutives age groups (<5, 5-10, 10-15 and >15 years), we observed a clear progressive increase in the risk allele frequency at rs3824662 (P=6.29×10-11) with increasing allelic odds ratio (i.e. relative risk of ALL conferred by each copy of the risk allele). This correlation between genotype and age was evident regardless of genetic ancestry, although the risk variant was more common among individuals with higher Native American ancestry. In contrast, the frequency of ALL susceptibility variant in ARID5B decreased progressively with increasing age at diagnosis (P=0.006), whereas PIP4K2A, CDKN2A/CDKN2B, IKZF1 and CEBPE variants were not related to age. Finally, we compared rs3824662 risk variant frequency by age in the COG P9900 protocols after stratifying the ALL cases into TCF3-PBX1, ETV6-RUNX1, hyperdiploid, MLL-rearranged and B-other. There was a trend that the risk allele was more frequent in cases older than 16 years compared to those below 16 in the five subtypes examined. In conclusion, we have identified inherited GATA3 genetic variants that strongly influence ALL susceptibility in adolescent and young adults, indicating potential age-related differences in ALL biology. Disclosures No relevant conflicts of interest to declare.

OBJECTIVES: Small intestinal bacterial overgrowth (SIBO) can complicate chronic pancreatitis (CP) and interfere with management. Its predisposing factors in CP and treatment response are unknown. In this review, we evaluated factors affecting disease burden. METHODS: A computerized search of PubMed and EMBASE databases from inception through May 2019 was done for studies correlating SIBO with CP. Studies were screened, and relevant data were extracted and analyzed. Pooled prevalence, odds ratio (OR), and meta-regression were performed using the random effects model as classically described by Borenstein et al. (2009). SIBO's relation to diabetes mellitus (DM), pancreatic exocrine insufficiency (PEI), narcotic use, and proton-pump inhibitor use was investigated. Treatment response was pooled across studies. P value < 0.05 was considered significant. RESULTS: In 13 studies containing 518 patients with CP, SIBO prevalence was 38.6% (95% confidence interval [CI] 25.5–53.5). OR for SIBO in CP vs controls was 5.58 (95% CI 2.26–13.75). Meta-regression showed that PEI and the diagnostic test used were able to explain 54% and 43% of the variance in SIBO prevalence across studies, respectively. DM and PEI were associated with increased SIBO in CP with OR (2.1, 95% CI 1.2–3.5) and OR (2.5, 95% CI 1.3–4.8), respectively. Symptomatic improvement was reported in 76% of patients after SIBO treatment. DISCUSSION: SIBO complicates 38% of CP with OR of 5.58 indicating a predisposition for this condition. PEI correlates with SIBO in CP and might play a role in pathophysiology. DM and PEI are associated with increased SIBO in CP. Treatment of SIBO may lead to symptomatic improvement.