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  • Becker, Aline P.  (5)
  • Bell, Erica Hlavin  (5)
  • Chakravarti, Arnab  (5)
  • 1
    Online Resource
    Online Resource
    Long-term analysis of the WHO-defined molecular subgroups of high-risk grade II gliomas treated with radiation and temozolomide on NRG Oncology/RTOG 0424.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. 2518-2518
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. 2518-2518
    Abstract: 2518 Background: This study sought to evaluate the prognostic significance of the three WHO-defined molecular glioma subgroups ( IDHwt, IDHmt/non-codel, and IDHmt/codel) in NRG Oncology/RTOG 0424, a phase II trial of high-risk low-grade gliomas treated with radiation (RT) and concurrent and adjuvant temozolomide (TMZ) after biopsy/surgical resection. Notably, this is the first clinical study to evaluate the prognostic value of the WHO subgroups in RT + TMZ-treated high-risk grade II (G2) gliomas using prospectively-collected long-term survival data. Methods: IDH1/2 mutation status was determined by next-generation sequencing. 1p/19q co-deletion status was determined by Oncoscan and/or 450K methylation data. Overall survival (OS) and progression-free survival (PFS) by marker status were determined by the Cox proportional hazard model and tested using the log-rank test in a post-hoc analysis. Patient pre-treatment characteristics were included as covariates in multivariate analyses. Results: Of all the eligible patients (N=129), 80 (62%) had sufficient quality DNA for both IDH and 1p/19q analyses. Of these 80, 54 (67.5%) were IDHmt, and 26 (32.5%) were IDHwt. Of the 54 IDHmt patients, 26 (32.5% of total, 48% of IDHmt) were IDHmt/codel, and 28 (35% of total, 52% of IDHmt) were IDHmt/non-codel. Both IDHmt subgroups were significantly correlated with longer PFS ( IDHmt/co-del = 8.1yrs (5.2-not reached (NR)); IDHmt/non-codel = 7.5yrs (3.9-11.8); IDHwt = 1.0yr (0.6-1.7), p 〈 0.001) and OS ( IDHmt/co-del = 9.4yrs (8.2-NR); IDHmt/non-codel = 8.8yrs (5.9-NR); IDHwt = 2.3yrs (1.4-3.4), p 〈 0.001) relative to the IDHwt subgroup. Upon univariate and multivariate analyses, both molecular IDHmt subgroup comparisons relative to IDHwt remained significant (p 〈 0.001) even after incorporation of known clinical variables. Conclusions: These analyses suggest that G2 glioma patients harboring IDH1/2 mutations, regardless of co-deletion status, demonstrated longer survival with RT + TMZ relative to IDHwt tumors, although sample size is limited and analyses were post-hoc. These results also support the notion that outcomes for IDHwt high-risk G2 gliomas remain dismal (median = 2.3yrs, similar to G3 anaplastic astrocytoma); these patients should be separated from IDHmt patients in future G2 glioma trials, and warrant novel treatment strategies. Funding: U10CA180868, U10CA180822, U24CA196067, CURE, PA Dept. of Health, and Merck. Also, R01CA108633, R01CA169368, RC2CA148190, U10CA180850, BTFC, OSUCCC (all to AC). Clinical trial information: NCT00114140 .
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.15_suppl.2518
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 2
    Online Resource
    Online Resource
    Updated predictive analysis of the WHO-defined molecular subgroups of low-grade gliomas within the high-risk treatment arms of NRG Oncology/RTOG 9802.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. 2002-2002
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 2002-2002
    Abstract: 2002 Background: This study sought to update the predictive significance of the three WHO-defined molecular glioma subgroups ( IDHwt, IDHmt/noncodel, and IDHmt/codel) in the subset of specimens available for analysis in NRG Oncology/RTOG 9802, a phase III trial of high-risk low-grade gliomas (LGGs) treated with radiation (RT) with and without PCV after biopsy/surgical resection. Notably, this is the first phase III study to evaluate the predictive value of the WHO subgroups in LGGs using prospectively-collected, well-annotated long-term overall survival data, in a post-hoc analysis. Methods: IDH1/2 mutation status was determined by immunohistochemistry and/or next-generation sequencing. 1p/19q status was determined by Oncoscan and/or 450K methylation data. Treatment effects on overall survival (OS) and progression-free survival (PFS) by marker status were determined by the Cox proportional hazard model and tested using the log-rank test in a secondary and exploratory analysis. Results: Of all the randomized eligible high-risk G2 patients (N = 251) in NRG Oncology/RTOG 9802, 106(42%) patients had tissue available with sufficient quality DNA for profiling. Of these, 80(75%) were IDHmut; 43(41%) were IDHmut/non-co-deleted, 37(35%) were IDHmut/co-deleted, and 26(24%) were IDHwt. Upon univariate analyses, no significant difference in either PFS or OS was observed with the addition of PCV in the IDHwt subgroup. Both the IDHmut/non-co-deleted and IDHmut/co-deleted subgroups were significantly correlated with longer PFS (HR = 0.32; p = 0.003; HR = 0.13; p 〈 0.001) and OS (HR = 0.38; p = 0.013; HR = 0.21; p = 0.029) in the RT plus PCV arm, respectively. Conclusions: Our analyses suggest that both IDHmut/non-co-deleted and IDHmut/co-deleted subgroups received benefit from treatment with PCV although sample size is limited and analyses are post-hoc. Our results also support the notion that IDHwt high-risk LGG patients do not benefit from the addition of PCV to RT. Funding: U10CA180868, U10CA180822, and U24CA196067. Also, R01CA108633, R01CA169368, RC2CA148190, U10CA180850-01, BTFC, OSU-CCC (all to AC). Clinical trial information: NCT00003375.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.2002
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    A preliminary comprehensive molecular-based nomogram for individualized estimation of survival in patients with newly diagnosed glioblastoma utilizing global microRNA expression data.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. 2044-2044
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 2044-2044
    Abstract: 2044 Background: Glioblastoma (GBM) is the most aggressive and common primary brain tumor. Nomograms are prediction models that help form individualized risk scores for cancer patients, which are valuable for treatment decision-making. The aim of this study is to create a refined nomogram by including novel molecular variables beyond MGMT promoter methylation. Methods: Clinical data and miRNA expression data were obtained from 226 newly diagnosed GBM patients. Clinical data included age at diagnosis, sex, Karnofsky performance status (KPS), extent of resection, O6-methylguanine-DNA methyltransferase ( MGMT) promoter methylation status, IDH mutation status and overall survival. Due to low representation of less than 13 cases each, IDH mutant glioblastomas and patients submitted to biopsy-only were excluded. Total RNA was isolated from formalin-fixed paraffin-embedded (FFPE) tissues; miRNA expression was subsequently measured using the NanoString human miRNA v3a assay. A Cox regression model was developed using glmnet R package with the elastic net penalty while adjusting for known prognostic factors. A dichotomized genomic score was created by finding the optimal cutpoint (maximum association with survival) of the linear combination of the selected. A nomogram was generated using known clinical prognostic factors, specifically age, sex, KPS, and MGMT status along with the dichotomized genomic score. Results: Four novel miRNAs were found to significantly correlate with overall survival and were used to create the dichotomized miRNA genomic score (GS). This score split the cohort into a poor performing group (GS_high) and a better performing group (GS_low) (p = 0.0031). A final nomogram was created using the Cox proportional hazards model (Figure 1). Factors that correlated with improved survival included younger age, KPS 〉 70, MGMT methylation and a low genomic score. Conclusions: This study is a proof of concept demonstrating that integration of molecular variables beyond MGMT methylation improve existing nomograms to provide individualized information about patient prognosis. Future directions include a more comprehensive analysis, including proteomic and methylation data, and subsequent validation in an external cohort. Finally, network analysis integrating molecular signatures of poor performers will help identify therapeutic targets.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.2044
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 4
    Online Resource
    Online Resource
    Molecular-Based Recursive Partitioning Analysis Model for Glioblastoma in the Temozolomide Era : A Correlative Analysis Based on NRG Oncology RTOG 0525
    American Medical Association (AMA) ; 2017
    In:  JAMA Oncology Vol. 3, No. 6 ( 2017-06-01), p. 784-
    Details
    In: JAMA Oncology, American Medical Association (AMA), Vol. 3, No. 6 ( 2017-06-01), p. 784-
    Type of Medium: Online Resource
    ISSN: 2374-2437
    URL: Article
    DOI: 10.1001/jamaoncol.2016.6020
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2017
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  • 5
    Online Resource
    Online Resource
    Comprehensive assessment of ATRX mutation, protein expression, and alternative lengthening of telomeres (ALT) phenotype in grade II and III gliomas.
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 15_suppl ( 2017-05-20), p. 2064-2064
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. 2064-2064
    Abstract: 2064 Background: ATRX mutations are key molecular markers for classification of gliomas. We aimed to evaluate ATRXmutations and protein expression and the ALT phenotype as potential biomarkers for grade II and III gliomas. Methods: Retrospective analysis of 156 adult gliomas, with long-term follow up. Gene sequencing ( IDH1/2 and ATRX), Oncoscan array (1p19q co-deletion), FISH assays (1p19q co-deletion and ALT phenotype) and immunohistochemistry (IDH1 R132H and ATRX) were performed and the results were correlated with OS and PFS. Results: Twenty-six out of 94 samples (27.7%) had ATRX mutations, commonly related to IDH1/2 mutant-1p/19q intact tumors (22/26 cases – p 〈 0.0001), however, 3 (11.5%) mutant tumors had concurrent 1p/19q co-deletions. ATRX loss of expression occurred in 66/150 cases (44%), consistently related to ATRX mutations (p 〈 0.0001). Intriguingly, 4/25 ATRX mutant tumors (2 frameshift and 2 point mutations with low/medium functional impact) showed weak/heterogeneous expression, while 18/65 (27.7%) ATRX wild type tumors had loss of protein expression. ALT phenotype was detected in 50/150 cases (33.3%), strongly related to ATRX mutations (23/32 cases), loss of protein expression (45/50 cases), and to IDH1/2 mutant-1p/19q intact tumors (35/41 cases). Two ATRX mutant tumors were ALT negative, while nine ATRX wild type tumors with loss of expression had ALT phenotype. ATRXmutations, loss of protein expression, and ALT phenotype were strongly related to longer OS in grade III gliomas (p = 0.006, 0.023 and 0.003, respectively). Further subset analyses were not completed due to small sample sizes. Conclusions: ATRX mutations and loss of protein expression as well as ALT phenotype are potential prognostic factors for grade III gliomas. Importantly, this study highlights possible discrepancies (although infrequent) between ATRX sequencing, immunohistochemistry, and FISH (ALT). In addition, other mechanisms of ATRX gene silencing should be further investigated in grade II and III gliomas. FUNDING: R01CA108633, R01CA169368, RC2CA148190, U10CA180850-01 (NCI), Brain Tumor Funders Collaborative Grant, and The Ohio State University CCC (all to AC).
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2017.35.15_suppl.2064
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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    Online Resource
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