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  • 1
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    TRIB1 confers therapeutic resistance in GBM cells by activating the ERK and Akt pathways
    Springer Science and Business Media LLC ; 2023
    In:  Scientific Reports Vol. 13, No. 1 ( 2023-08-01)
    Details
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2023-08-01)
    Abstract: GBM (Glioblastoma) is the most lethal CNS (Central nervous system) tumor in adults, which inevitably develops resistance to standard treatments leading to recurrence and mortality. TRIB1 is a serine/threonine pseudokinase which functions as a scaffold platform that initiates degradation of its substrates like C/EBPα through the ubiquitin proteasome system and also activates MEK and Akt signaling. We found that increased TRIB1 gene expression associated with worse overall survival of GBM patients across multiple cohorts. Importantly, overexpression of TRIB1 decreased RT/TMZ (radiation therapy/temozolomide)-induced apoptosis in patient derived GBM cell lines in vitro. TRIB1 directly bound to MEK and Akt and increased ERK and Akt phosphorylation/activation. We also found that TRIB1 protein expression was maximal during G2/M transition of cell cycle in GBM cells. Furthermore, TRIB1 bound directly to HDAC1 and p53. Importantly, mice bearing TRIB1 overexpressing tumors had worse overall survival. Collectively, these data suggest that TRIB1 induces resistance of GBM cells to RT/TMZ treatments by activating the cell proliferation and survival pathways thus providing an opportunity for developing new targeted therapeutics.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    URL: Article
    DOI: 10.1038/s41598-023-32983-w
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2615211-3
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  • 2
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    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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  • 3
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    Long-Term Report of a Comprehensive Molecular and Genomic Analysis in NRG Oncology/RTOG 0424: A Phase II Study of Radiation and Temozolomide in High-Risk Grade II Glioma
    American Society of Clinical Oncology (ASCO) ; 2021
    In:  JCO Precision Oncology , No. 5 ( 2021-11), p. 1397-1407
    Details
    In: JCO Precision Oncology, American Society of Clinical Oncology (ASCO), , No. 5 ( 2021-11), p. 1397-1407
    Abstract: This study sought to determine the prognostic significance of the WHO-defined glioma molecular subgroups along with additional alterations, including MGMT promoter methylation and mutations in ATRX, CIC, FUBP1, TERT, and TP53, in NRG/RTOG 0424 using long-term follow-up data. METHODS Mutations were determined using an Ion Torrent sequencing panel. 1p/19q co-deletion and MGMT promoter methylation were determined by Affymetrix OncoScan and Illumina 450K arrays. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method and tested using the log-rank test. Hazard ratios were calculated using the Cox proportional hazard model. Multivariable analyses (MVAs) included patient pretreatment characteristics. RESULTS We obtained complete molecular data to categorize 80/129 eligible patients within the WHO subgroups. Of these, 26 (32.5%) were IDHmutant/co-deleted, 28 (35%) were IDHmutant/non-co-deleted, and 26 (32.5%) were IDHwild-type. Upon single-marker MVA, both IDHmutant subgroups were associated with significantly better OS and PFS ( P values 〈 .001), compared with the IDHwild-type subgroup. MGMT promoter methylation was obtained on 76 patients, where 58 (76%) were methylated and 18 (24%) were unmethylated. Single-marker MVAs demonstrated that MGMT promoter methylation was statistically significant for OS ( P value 〈 .001) and PFS ( P value = .003). In a multimarker MVA, one WHO subgroup comparison ( IDHmutant/co-deleted v IDHwild-type) was significant for OS ( P value = .045), whereas MGMT methylation did not retain significance. CONCLUSION This study reports the long-term prognostic effect of the WHO molecular subgroups, MGMT promoter methylation, and other mutations in NRG/RTOG 0424. These results demonstrate that the WHO molecular classification and MGMT both serve as strong prognostic indicators, but that MGMT does not appear to add statistically significant prognostic value to the WHO subgrouping, above and beyond IDH and 1p/19q status.
    Type of Medium: Online Resource
    ISSN: 2473-4284
    URL: Article
    DOI: 10.1200/PO.21.00112
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
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  • 4
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    Comprehensive Genomic Analysis in NRG Oncology/RTOG 9802: A Phase III Trial of Radiation Versus Radiation Plus Procarbazine, Lomustine (CCNU), and Vincristine in High-Risk Low-Grade Glioma
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 29 ( 2020-10-10), p. 3407-3417
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 29 ( 2020-10-10), p. 3407-3417
    Abstract: NRG Oncology/RTOG 9802 (ClinicalTrials.gov Identifier: NCT00003375 ) is a practice-changing study for patients with WHO low-grade glioma (LGG, grade II), as it was the first to demonstrate a survival benefit of adjuvant chemoradiotherapy over radiotherapy. This post hoc study sought to determine the prognostic and predictive impact of the WHO-defined molecular subgroups and corresponding molecular alterations within NRG Oncology/RTOG 9802. METHODS IDH1/2 mutations were determined by immunohistochemistry and/or deep sequencing. A custom Ion AmpliSeq panel was used for mutation analysis. 1p/19q codeletion and MGMT promoter methylation were determined by copy-number arrays and/or Illumina 450K array, respectively. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method. Hazard ratios (HRs) were calculated using the Cox proportional hazard model and tested using the log-rank test. Multivariable analyses (MVAs) were performed incorporating treatment and common prognostic factors as covariates. RESULTS Of the eligible patients successfully profiled for the WHO-defined molecular groups (n = 106/251), 26 (24%) were IDH-wild type, 43 (41%) were IDH-mutant/non-codeleted, and 37(35%) were IDH-mutant/codeleted. MVAs demonstrated that WHO subgroup was a significant predictor of PFS after adjustment for clinical variables and treatment. Notably, treatment with postradiation chemotherapy (PCV; procarbazine, lomustine (CCNU), and vincristine) was associated with longer PFS (HR, 0.32; P = .003; HR, 0.13; P 〈 .001) and OS (HR, 0.38; P = .013; HR, 0.21; P = .029) in the IDH-mutant/non-codeleted and IDH-mutant/codeleted subgroups, respectively. In contrast, no significant difference in either PFS or OS was observed with the addition of PCV in the IDH-wild-type subgroup. CONCLUSION This study is the first to report the predictive value of the WHO-defined diagnostic classification in a set of uniformly treated patients with LGG in a clinical trial. Importantly, this post hoc analysis supports the notion that patients with IDH-mutant high-risk LGG regardless of codeletion status receive benefit from the addition of PCV.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.19.02983
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
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  • 5
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    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
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  • 6
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    Association of MGMT Promoter Methylation Status With Survival Outcomes in Patients With High-Risk Glioma Treated With Radiotherapy and Temozolomide : An Analysis From the NRG Oncology/RTOG 0424 Trial
    American Medical Association (AMA) ; 2018
    In:  JAMA Oncology Vol. 4, No. 10 ( 2018-10-01), p. 1405-
    Details
    In: JAMA Oncology, American Medical Association (AMA), Vol. 4, No. 10 ( 2018-10-01), p. 1405-
    Type of Medium: Online Resource
    ISSN: 2374-2437
    URL: Article
    DOI: 10.1001/jamaoncol.2018.1977
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2018
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  • 7
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    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
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  • 8
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    BIOL-05. IDENTIFICATION AND VALIDATION OF PA2G4 AS A POTENTIAL THERAPEUTIC TARGET IN PEDIATRIC DIFFUSE GLIOMAS
    Oxford University Press (OUP) ; 2023
    In:  Neuro-Oncology Vol. 25, No. Supplement_1 ( 2023-06-12), p. i6-i6
    Details
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 25, No. Supplement_1 ( 2023-06-12), p. i6-i6
    Abstract: Brain tumors are the second most common pediatric malignancy after leukemia. High grade gliomas have a significantly high morbidity and mortality in children, with a 5-year survival rate under 20%. This study aims to identify important biological mechanisms and proteins as prognostic biomarkers and novel therapeutic targets. We hypothesize that higher grade pediatric diffuse gliomas can be effectively targeted by knocking down expression of the proliferation associated protein 2G4 (PA2G4) that binds to MYCN and prevents its ubiquitination. LC-MS/MS proteomic profiling was performed on 28 formalin-fixed paraffin embedded primary diffuse glioma samples from Nationwide Children’s Hospital (Columbus, OH). Cox proportional hazard models were used to correlate individual proteins with progression-free survival (PFS) and overall survival (OS). Differences in fold change were calculated for each protein between low grade (LGG, grade 2) and high-grade glioma (HGG, grades 3-4) patients. Ingenuity Pathway Analysis was performed considering only proteins with p-values & lt;0.05. In vitro studies were performed to evaluate the roles of PA2G4 in the SF188 glioma cell line. In comparing high- and low-grade tumors, 471 proteins were found to be significantly differentially expressed. Eighty-six and 121 proteins were significantly associated with OS and PFS, respectively. PA2G4 was expressed 2.0-fold higher in HGG vs LGG (p=0.015). Additionally, high expression of PA2G4 protein was associated with significantly worse PFS (p=0.041) and OS (p=0.035) and selected for further studies. Preliminary in vitro results showed that knocking-down PA2G4 decreased AKT phosphorylation/activation and levels of MYCN protein. Given that activated MYCN plays critical oncogenic roles in patients with poor survival PA2G4 may serve as a novel therapeutic target in higher grade pediatric diffuse gliomas. Studies are underway to unfold how PA2G4 affects treatment resistance and tumor recurrence in pediatric patients.
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    URL: Article
    DOI: 10.1093/neuonc/noad073.024
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2094060-9
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  • 9
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    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
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  • 10
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    PATH-15. PROTEOMIC SIGNATURES PREDICT GRADE IN PEDIATRIC AND YOUNG ADULT INFILTRATIVE ASTROCYTOMAS
    Oxford University Press (OUP) ; 2020
    In:  Neuro-Oncology Vol. 22, No. Supplement_3 ( 2020-12-04), p. iii427-iii427
    Details
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 22, No. Supplement_3 ( 2020-12-04), p. iii427-iii427
    Abstract: Infiltrative astrocytomas in children and young adults pose a treatment challenge due to the difficulty of achieving gross total resection and tumor resistance to irradiation and chemotherapy. Histopathologic grade is an essential part of determining prognosis and treatment, but it is subjective and provides limited understanding of the molecular mechanisms underlying tumor development and progression. METHODS We performed liquid chromatography/mass spectrometry (LC/MS-MS) on 28 FFPE samples of primary infiltrative astrocytomas (10 grade II, 8 grade III and 10 grade IV – WHO classification) from Nationwide Children’s Hospital (NCH). Initial unsupervised clustering was performed. Lasso regression yielded a protein signature separating low- and high-grade tumors which was validated using a similar cohort of pediatric and young adult infiltrative astrocytomas from the Proteomic Data Commons (PDC) (n=28) of the National Cancer Institute. RESULTS Unsupervised clustering of NCH samples essentially recapitulated grade and lasso regression yielded a 10-protein signature that distinguished grade II from grade III/IV tumors. This 10-protein signature when applied to the PDC validation dataset, accurately predicted grade for 89.3% of the tumors (p=0.00014). CONCLUSIONS We identified a quantitative protein signature that can reliably distinguish between low- and high-grade infiltrative astrocytomas from FFPE tissue. Further validation will enable the development an objective prognostic proteomic clinical test that complements and may outperform current histopathological strategies. Additionally, proteomic profiling of tumors will clarify the molecular mechanisms contributing to treatment resistance and tumor progression and help identify novel treatment targets. Independent functional validation and characterization of proteins is ongoing.
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    URL: Article
    DOI: 10.1093/neuonc/noaa222.650
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 2094060-9
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