scholarly journals The Evolution of Risk Classification for Neuroblastoma

Children ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 27 ◽  
Author(s):  
Elizabeth Sokol ◽  
Ami Desai

Neuroblastoma is a tumor with great clinical heterogeneity. Patients in North America are risk-stratified using a number of features including age at diagnosis, disease stage, tumor histology, MYCN status (amplified versus nonamplified), and tumor cell ploidy. In this paper, we review the evidence for utilizing these features in the risk classification of neuroblastic tumors. Additionally, we review the clinical and biologic criteria used by various cooperative groups to define low, intermediate, and high-risk disease populations in clinical trials, highlighting the differences in risk classification internationally. Finally, we discuss the development of the International Neuroblastoma Risk Group classification system, designed to begin worldwide standardization of neuroblastoma pretreatment risk classification and allow comparison of clinical trials conducted through different cooperative groups.

2015 ◽  
Vol 7 (10) ◽  
pp. 13454-13468 ◽  
Author(s):  
Francesco Leccese ◽  
Viola Vandelanotte ◽  
Giacomo Salvadori ◽  
Michele Rocca

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2732-2732
Author(s):  
Jessica A. Pollard ◽  
Todd A. Alonzo ◽  
Robert B. Gerbing ◽  
Phoenix A. Ho ◽  
Rhonda Ries ◽  
...  

Abstract Abstract 2732 Our previous analysis of diagnostic AML bone marrow (BM) samples from a subset of patients enrolled on Children's Oncology Group (COG) AAML03P1, a pilot study in which conventional chemotherapy was used in combination with the CD33 targeted therapeutic gemtuzumab ozogamicin (GO), demonstrated that CD33 expression is highly variable in pediatric AML and that low or absent CD33 expression was not associated with inferior clinical response. Moreover, patients with the highest CD33 expression did not have superior outcomes. Low CD33 expression was associated with low risk disease [core binding factor (CBF) AML e.g. t(8;21), inv(16) or t(16;16), CEBPA mutated AML, NPM1 mutated AML] whereas the highest CD33 expression levels were seen in patients with high-risk disease [FLT3/ITD+ disease with allelic ratio >0.4, high risk cytogenetics e.g. -7, -5, -5q]. These findings refute previous adult AML data in which CD33 expression is directly correlated with response to single agent GO and suggest, within AAML03P1, that clinical response is linked to underlying disease biology. In this larger analysis, we prospectively evaluated CD33 expression levels of AML blasts isolated from 676 pediatric diagnostic BM samples (238/340 and 438/968 patients enrolled on COG AAML03P1 and COG AAML0531 respectively) to determine whether this association persists in a larger cohort. CD33 expression, as defined by mean fluorescent intensity (MFI) of the blast population, varied over 2-log fold, and a median MFI of 128 was observed (range 3–1550.07). The study population was divided into quartiles (Q) based on CD33 expression (n= 169 patients per quartile). Median MFI was 37.49 (range 3–62) for Q1, 90 (range 62.21–128) for Q2, 171 (range 128–245) for Q3 and 349 (range 245.52–1550.07) for Q4. Samples were also screened for disease-relevant molecular mutations: 89/650 (14%) were FLT3/ITD positive; 69/587 (12%) were positive for NPM1 mutations; and 35/585 (6%) positive for CEBPA mutations. FLT3/ITD prevalence significantly increased with increasing CD33 quartile (Q1 7%, Q2 10%, Q3 17%, Q4 20%; p<0.001), whereas no definitive trend in prevalence was observed for NPM1 (Q1 7%, Q2 14%, Q3 15%, Q4 12%; p=0.158) or CEBPA mutations (Q1 6%, Q2 8%, Q3 6%, Q4 4%; p=0.307). Cytogenetic data was available for 613 (91%) samples; 177 (29%) CBF AML samples were identified and their prevalence declined with increasing quartile (Q1 51%, Q2 40%, Q3 20%, Q4 6%; p<0.001). There was no apparent association between CD33 expression and high-risk cytogenetics; however, analysis was limited by the small number of patients (9/613, 1.4%) with such mutations. For risk-group classification, complete cytogenetic and molecular data were available for 535 (79%) samples: 204/535 (38%) were classified as low-risk and 64/535 (12%) were defined as high-risk. There was an inverse association between CD33 expression and prevalence of low-risk AML (Q1 59%, Q2 50%, Q3 27%, Q4 17%; p<0.001). In contrast, the prevalence of high-risk disease increased with each quartile (Q1 5%, Q2 8%, Q3 17%, Q4 18%; p<0.001). We observed a higher median CD33 MFI with high-risk disease (median MFI 195.315; range 12–720) than with low-risk (median MFI 80.5; range 5–1550.07) or intermediate-risk (i.e., neither low- nor high-risk) disease (median MFI 163.06; range 7–1351) (p<0.001). Response from end of induction I (CR) was also determined for our patient cohort. Rates of CR were similar across CD33-expression quartiles (Q1 78%, Q2 75%, Q3 75%, Q4 72%; p=0.581). Moreover, CR rates for each risk group did not vary across quartiles (low-risk: Q1 84%, Q2 85%, Q3 88%, Q4 82%; p=0.917; intermediate-risk: Q1 77%, Q2 65%, Q3 72%, Q4 71%; p=0.594; high-risk: Q1 57%, Q2 67%, Q3 60%, Q4 72%; p=0.801). This large scale analysis supports our earlier finding that CD33 expression in pediatric AML is heterogeneous and associated with conventional risk-group criteria. As outcome data matures from COG AAML0531, the phase III counterpart of AAML03P1 in which patients are randomized to GO treatment, we will determine whether the addition of GO improves survival of patients with low versus high CD33 expression and whether this finding translates into enhanced outcomes for associated disease-risk groups. Disclosures: Franklin: Amgen : Employment, Equity Ownership.


2020 ◽  
pp. 895-905
Author(s):  
Wayne H. Liang ◽  
Sara M. Federico ◽  
Wendy B. London ◽  
Arlene Naranjo ◽  
Meredith S. Irwin ◽  
...  

For children with neuroblastoma, the likelihood of cure varies widely according to age at diagnosis, disease stage, and tumor biology. Treatments are tailored for children with this clinically heterogeneous malignancy on the basis of a combination of markers that are predictive of risk of relapse and death. Sequential risk-based, cooperative-group clinical trials conducted during the past 4 decades have led to improved outcome for children with neuroblastoma. Increasingly accurate risk classification and refinements in treatment stratification strategies have been achieved with the more recent discovery of robust genomic and molecular biomarkers. In this review, we discuss the history of neuroblastoma risk classification in North America and Europe and highlight efforts by the International Neuroblastoma Risk Group (INRG) Task Force to develop a consensus approach for pretreatment stratification using seven risk criteria including an image-based staging system—the INRG Staging System. We also update readers on the current Children’s Oncology Group risk classifier and outline plans for the development of a revised 2021 Children’s Oncology Group classifier that will incorporate INRG Staging System criteria to facilitate harmonization of risk-based frontline treatment strategies conducted around the globe. In addition, we discuss new approaches to establish increasingly robust, future risk classification algorithms that will further refine treatment stratification using machine learning tools and expanded data from electronic health records and the INRG Data Commons.


2019 ◽  
Vol 105 (1) ◽  
pp. S135-S136
Author(s):  
O. Zavala-Romero ◽  
A. Pollack ◽  
D. Kwon ◽  
A.L. Breto ◽  
E. Davicioni ◽  
...  

2002 ◽  
Vol 28 (1) ◽  
pp. 143-147 ◽  
Author(s):  
Iwao SUGITANI ◽  
Seiichi YOSHIMOTO ◽  
Hiroki MITANI ◽  
Katsuhumi HOKI ◽  
Tomohiko NIGAURI ◽  
...  

2021 ◽  
Vol 11 (2) ◽  
pp. 642-647
Author(s):  
Wang Chen ◽  
Rong Guo ◽  
WeiGao Sun ◽  
DingYou Lu

Objective: The study aims to explore the role of computed tomography (CT) in clinical diagnosis, thus having a preliminary understanding of the relationship between CT signs and the risk of gastric stromal tumors (GSTs). Methods: In this study, 213 patients with GST with complete preoperative CT and postoperative pathological results in Yancheng No. 1 People's Hospital from January 2016 to August 2019 are selected as research objects. The patient's basic information is collected. CT machine (Toshiba 320 row CT and Siemens dualsource CT (Somatom Definition Flash)) is used to examine all patients. The obtained image data are evaluated. Patients are divided into low-risk group, medium risk group and high-risk group according to the risk classification standard of GST. The data collected are analyzed statistically. Results: After risk classification of all patients, 87 patients in low-risk group, 74 in medium-risk group and 52 in high-risk group are found. After further analysis of the risk classification, it is found that there is no significant difference in GST risk classification between the tumor sites (P > 0.05). In the GST risk classification, the smaller the tumor, the more the low-risk group, the larger the tumor, the more the high-risk group, the difference is statistically significant (P < 0.05). In the observation of the relationship between tumor growth pattern and risk classification, it is found that the number of intraluminal growth is the most, while mixed growth is the least (P < 0.05). Further analysis of tumor density, solid part enhancement, distant metastasis and risk grade show that there are significant differences (P < 0.05). Conclusion: As an auxiliary diagnostic method in clinic, CT signs can be used to analyze the relationship with risk grade from tumor location, tumor size, tumor growth mode, tumor density, solid part enhancement degree and tumor distant metastasis, so as to have a more accurate understanding of patients' situation, and provide experimental basis for the later application of CT signs in tumor and auxiliary diagnosis.


2020 ◽  
Vol 140 (12) ◽  
pp. 1367-1368
Author(s):  
Daisuke Saito ◽  
Hiroharu Kawanaka ◽  
V. B. Surya Prasath ◽  
Bruce J. Aronow
Keyword(s):  

2020 ◽  
Vol 13 (5) ◽  
pp. 508-523 ◽  
Author(s):  
Guan‐Hua Huang ◽  
Chih‐Hsuan Lin ◽  
Yu‐Ren Cai ◽  
Tai‐Been Chen ◽  
Shih‐Yen Hsu ◽  
...  

2021 ◽  
Vol 23 (6) ◽  
Author(s):  
Martin Windpessl ◽  
Erica L. Bettac ◽  
Philipp Gauckler ◽  
Jae Il Shin ◽  
Duvuru Geetha ◽  
...  

Abstract Purpose of Review There is ongoing debate concerning the classification of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis. That is, whether classification should be based on the serotype (proteinase 3 (PR3)- or myeloperoxidase (MPO)-ANCA) or on the clinical phenotype (granulomatosis with polyangiitis (GPA) or microscopic polyangiitis (MPA)). To add clarity, this review focused on integration of the most recent literature. Recent Findings Large clinical trials have provided evidence that a serology-based risk assessment for relapses is more predictive than distinction based on the phenotype. Research conducted in the past decade indicated that a serology-based approach more closely resembles the genetic associations, the clinical presentation (i.e., lung involvement), biomarker biology, treatment response, and is also predicting comorbidities (such as cardiovascular death). Summary Our review highlights that a serology-based approach could replace a phenotype-based approach to classify ANCA-associated vasculitides. In future, clinical trials and observational studies will presumably focus on this distinction and, as such, translate into a “personalized medicine.”


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