Application of Targeted Therapy to Malignant Gliomas and Response to Treatment

2013 ◽  
Vol 8 (1) ◽  
pp. 14-24 ◽  
Author(s):  
Eudocia Q. Lee ◽  
Andrew D. Norden ◽  
Jan Drappatz ◽  
Patrick Y. Wen
2020 ◽  
Vol 13 ◽  
Author(s):  
Theodora Katsila ◽  
Dimitrios Kardamakis

Background: Malignant gliomas constitute a complex disease phenotype that demands optimum decisionmaking. Despite being the most common type of primary brain tumors, gliomas are highly heterogeneous when their pathophysiology and response to treatment are considered. Such inter-individual variability also renders differential and early diagnosis extremely difficult. Recent evidence highlight that the gene-environment interplay becomes of fundamental importance in oncogenesis and progression of gliomas. Objective: To unmask key features of the gliomas disease phenotype and map the inter-individual variability of patients, we explore genotype-to-phenotype associations. Emphasis is put on microRNAs as they regulate gene expression, have been implicated in the pathogenesis of gliomas and may serve as theranostics, empowering non-invasive strategies (circulating free or in exosomes). Method: We mined text and omic datasets (as of 2019) and conducted a mixed-method content analysis. A novel framework was developed to meet the aims of our analysis, interrogating data in terms of content and context. We relied on literature data from PubMed/Medline and Scopus, as they are considered the largest abstract and citation databases of peer-reviewed literature. To avoid selection biases, both publicly available and private texts have been assessed. Both percent agreement and Cohen's kappa statistic have been calculated to avoid biases by SAS macro MAGREE with multicategorical ratings. Results: Gliomas serve as a paradigm for multifaceted datasets, despite data sparsity and scarcity. miRNAs and miRNAbased therapeutics are ready for prime time. Exosomal miRNAs empower non-invasive strategies, surpassing circulating free miRNAs, when accuracy and precision are considered. Conclusion: miRNAs holds promise as theranostics.


2021 ◽  
Vol 12 ◽  
Author(s):  
Emma Westermann-Clark ◽  
Cristina Adelia Meehan ◽  
Anna K. Meyer ◽  
Joseph F. Dasso ◽  
Devendra Amre ◽  
...  

BackgroundPrimary immunodeficiency is common among patients with autoimmune cytopenia.ObjectiveThe purpose of this study is to retrospectively identify key clinical features and biomarkers of primary immunodeficiency (PID) in pediatric patients with autoimmune cytopenias (AIC) so as to facilitate early diagnosis and targeted therapy.MethodsElectronic medical records at a pediatric tertiary care center were reviewed. We selected 154 patients with both AIC and PID (n=17), or AIC alone (n=137) for inclusion in two cohorts. Immunoglobulin levels, vaccine titers, lymphocyte subsets (T, B and NK cells), autoantibodies, clinical characteristics, and response to treatment were recorded.ResultsClinical features associated with AIC-PID included splenomegaly, short stature, and recurrent or chronic infections. PID patients were more likely to have autoimmune hemolytic anemia (AIHA) or Evans syndrome than AIC-only patients. The AIC-PID group was also distinguished by low T cells (CD3 and CD8), low immunoglobulins (IgG and IgA), and higher prevalence of autoantibodies to red blood cells, platelets or neutrophils. AIC diagnosis preceded PID diagnosis by 3 years on average, except among those with partial DiGeorge syndrome. AIC-PID patients were more likely to fail first-line treatment.ConclusionsAIC patients, especially those with Evans syndrome or AIHA, should be evaluated for PID. Lymphocyte subsets and immune globulins serve as a rapid screen for underlying PID. Early detection of patients with comorbid PID and AIC may improve treatment outcomes. Prospective studies are needed to confirm the diagnostic clues identified and to guide targeted therapy.


2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 7697-7697
Author(s):  
X. Zhou ◽  
E. S. Kim ◽  
R. S. Herbst ◽  
S. Liu ◽  
I. I. Wistuba ◽  
...  

7697 Background: Multiple axes of signaling pathways are associated with lung carcinogenesis. These signaling axes are different in pts (pts) and their cancers. Utilization of molecularly targeted agents may inhibit these specific aberrant pathways and lead to clinical efficacy. Biomarkers expressions can be used as indicators for the aberrant signaling to identify effective targeted therapy. Methods: The program, “Biomarker-integrated Approaches of Targeted Therapy of Lung Cancer Elimination (BATTLE),” consists of an umbrella screening trial and 4 parallel phase II targeted therapies trials (with erlotinib, sorafenib, vandetanib, and the combination of erlotinib and bexarotene) in advanced non-small cell lung cancer pts with prior chemotherapy. All pts will have biopsy samples taken for biomarker profile assessment prior to the randomization. A ‘surrogate response‘ to treatment is defined as progression free at 8 weeks after randomization. The Bayesian ordinal probit model is used to characterize the response rate. Pts with certain biomarker profile will be adaptively randomized (AR) to one of the 4 treatment arms with the randomization rate based on the updated response rate based on accumulated data in the trial. For each biomarker profile, better performing arms will have higher randomization rates and vise versa. Early stopping rules are set so that low-performing arms may be suspended for new patient entry. Results: Based on extensive simulation studies, the proposed design with a total of 200 pts has desirable operating characteristics to: (1) identify effective agents with high probability; (2) suspend ineffective agents; and (3) treat more pts with effective agents according to their biomarker profiles. The Bayesian design incorporates prior data and findings from the current pts to form better estimates of the treatment efficacy for pts with different biomarker profiles. The design continues to “learn” and improve the estimates as the trial moves along. Conclusion: The Bayesian AR design is a smart and ethical design and ideally suitable for the development of targeted therapy. It may help in identifying effective agents based on pts’ tumor biomarker profile and thus treat more pts with effective therapies. No significant financial relationships to disclose.


2021 ◽  
Vol 39 (3_suppl) ◽  
pp. TPS449-TPS449
Author(s):  
Johanna C. Bendell ◽  
Kian-Huat Lim ◽  
Mark E. Burkard ◽  
Samuel J Klempner ◽  
Mark A. Socinski ◽  
...  

TPS449 Background: NRG1 (Neuregulin-1) gene fusions are rare oncogenic drivers found in 0.2% of solid tumors, including lung, pancreatic, gallbladder, breast, ovarian, colorectal, neuroendocrine, and sarcomas. NRG1 is the predominant ligand of HER3 and to a lesser extent HER4. NRG1 fusion proteins retaining an active EGF-like domain drive tumorigenesis and proliferation through aberrant HER3 activation. Importantly, NRG1 fusions are often mutually exclusive with other known driver alterations. NRG1 fusions have been correlated with worse overall and disease-free survival and poor response to treatment with standard therapies including chemotherapy, PD-(L)1 checkpoint inhibitors and combinations of these agents. Inhibition of HER3 and its dimerization partners represents a rational and novel therapeutic approach for tumors harboring an NRG1 fusion supported by case studies of clinical responses to anti-HER3 antibodies or pan-ERBB (tyrosine kinase inhibitors) TKIs like afatinib. Seribantumab is a fully human IgG2 mAb against HER3 uniquely able to inhibit NRG1-dependent activation of HER3, HER3-HER2 dimerization, and downstream signaling through the PI3K/AKT and MAPK pathways. The clinical safety profile of seribantumab has been well characterized through prior monotherapy and combination studies in over 800 patients. Methods: CRESTONE is an open label, multicenter phase 2 basket trial of seribantumab in adult patients with NRG1 fusion-positive locally advanced or metastatic solid tumors who have progressed on or are nonresponsive to available therapies. The trial will enroll at least 75 previously treated patients across three cohorts. Cohort 1 (N=55) will include patients who have not received prior treatment with any ERBB targeted therapy. Cohort 2 (up to N=10) will include patients who have progressed after prior treatment which includes ERBB targeted therapy. Cohort 3 (up to N=10) will include patients harboring NRG1 fusions without an EGF-like binding domain. NRG1 fusion status for enrollment will be determined through a local CLIA or similarly accredited molecular assay. NRG1 fusion status for patients in Cohort 1 will be centrally confirmed using an RNA-based NGS assay. This study will evaluate a novel dosing regimen of weekly induction, biweekly consolidation, and Q3W maintenance designed to rapidly achieve steady state levels, optimize exposure, and deliver maximal NRG1 inhibition. The primary endpoint is ORR per RECIST v1.1 by independent radiologic review. Secondary endpoints include duration of response (DoR), safety, PFS, OS, and overall clinical benefit rate. An interim analysis is planned following enrollment of 20 patients in Cohort 1. CRESTONE is open and accruing patients in the United States. Clinical trial information: NCT04383210.


2018 ◽  
Vol 20 (suppl_6) ◽  
pp. vi75-vi76
Author(s):  
Inah Hwang ◽  
Lingxiang Wu ◽  
Dongqing Cao ◽  
Baoli Hu ◽  
Jun Yao ◽  
...  

Neoplasia ◽  
2015 ◽  
Vol 17 (3) ◽  
pp. 239-255 ◽  
Author(s):  
Hongxiang Wang ◽  
Tao Xu ◽  
Ying Jiang ◽  
Hanchong Xu ◽  
Yong Yan ◽  
...  

2014 ◽  
Vol 1 (3) ◽  
pp. 94-100 ◽  
Author(s):  
Jennifer A. Oberg ◽  
Amie N. Dave ◽  
Jeffrey N. Bruce ◽  
Stephen A. Sands

Abstract Background Malignant gliomas are highly proliferative, invasive tumors that are resistant to conventional treatment, and disease progression is often accompanied by physical and mental debilitation. Neurocognitive functioning (NCF) and quality of life (QoL) were evaluated as part of a prospective phase Ib dose-escalation study of topotecan by convection-enhanced delivery (CED) for adult patients with recurrent malignant gliomas. Methods Sixteen patients were enrolled, and NCF and QoL were evaluated using the Cognitive Stability Index and SF-36 at baseline and monthly for 4 months post treatment. Descriptive analyses included the reliable change index for serial evaluations and correlations for associations between outcome variables and age, tumor volume, total topotecan dose, and treatment effect. Results Individual classifications of response to treatment indicated that a majority of patients reported stable scores over the follow-up period. Demographic and treatment-related variables were not associated with outcomes. Baseline processing speed scores were invalid for 6 subjects. Higher rates of valid scores were observed on subsequent administrations. Conclusions As the first study to use CED of any kind to evaluate the impact of CED on NCF or QoL, there was no evidence of severe detriment to either outcome. Long-term evaluation is necessary to track changes in NCF and QoL related to disease progression. Invalid scores suggest that computer-based assessments may not be suitable for all patients with malignant gliomas, especially those with cognitive deficits secondary to their disease. Future trials should include a wider range of sensitive measures to assess the impact of CED on patient NCF and QoL.


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