Literature DB >> 23125011

Incorporation of prognostic and predictive factors into glioma clinical trials.

Derek R Johnson1, Evanthia Galanis.   

Abstract

Treatment of brain tumors is increasingly informed by biomarkers that predict patient prognosis and response to therapy. While this progress represents a great opportunity for the field of neuro-oncology, it also presents significant challenges. Biomarkers are not straightforward to identify, and previously used clinical trial paradigms are poorly suited to the task of identifying treatments effective only in selected subsets of patients. Unless investigators adapt new tools and procedures that better account for the biological diversity of gliomas, future clinical trials run the dual risk of missing important treatment effects and exposing patients to interventions destined to prove ineffective for their tumors. In this article, we will review the progress made in the past decade with respect to biomarkers in neuro-oncology, address barriers to ongoing progress, and discuss clinical trial designs that may prove useful in moving neuro-oncology fully into the era of personalized medicine.

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Year:  2013        PMID: 23125011      PMCID: PMC3869572          DOI: 10.1007/s11912-012-0279-z

Source DB:  PubMed          Journal:  Curr Oncol Rep        ISSN: 1523-3790            Impact factor:   5.075


  52 in total

1.  Immunologic escape after prolonged progression-free survival with epidermal growth factor receptor variant III peptide vaccination in patients with newly diagnosed glioblastoma.

Authors:  John H Sampson; Amy B Heimberger; Gary E Archer; Kenneth D Aldape; Allan H Friedman; Henry S Friedman; Mark R Gilbert; James E Herndon; Roger E McLendon; Duane A Mitchell; David A Reardon; Raymond Sawaya; Robert J Schmittling; Weiming Shi; James J Vredenburgh; Darell D Bigner
Journal:  J Clin Oncol       Date:  2010-10-04       Impact factor: 44.544

2.  The path to personalized medicine.

Authors:  Margaret A Hamburg; Francis S Collins
Journal:  N Engl J Med       Date:  2010-06-15       Impact factor: 91.245

3.  Analysis of randomized comparative clinical trial data for personalized treatment selections.

Authors:  Tianxi Cai; Lu Tian; Peggy H Wong; L J Wei
Journal:  Biostatistics       Date:  2010-09-28       Impact factor: 5.899

4.  Designing a randomized clinical trial to evaluate personalized medicine: a new approach based on risk prediction.

Authors:  Stuart G Baker; Daniel J Sargent
Journal:  J Natl Cancer Inst       Date:  2010-11-01       Impact factor: 13.506

5.  Omacetaxine: the FDA decision.

Authors:  Ellin Berman
Journal:  Clin Adv Hematol Oncol       Date:  2011-01

6.  Evaluating markers for treatment selection based on survival time.

Authors:  Xiao Song; Xiao-Hua Zhou
Journal:  Stat Med       Date:  2011-05-25       Impact factor: 2.373

7.  Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1.

Authors:  Roel G W Verhaak; Katherine A Hoadley; Elizabeth Purdom; Victoria Wang; Yuan Qi; Matthew D Wilkerson; C Ryan Miller; Li Ding; Todd Golub; Jill P Mesirov; Gabriele Alexe; Michael Lawrence; Michael O'Kelly; Pablo Tamayo; Barbara A Weir; Stacey Gabriel; Wendy Winckler; Supriya Gupta; Lakshmi Jakkula; Heidi S Feiler; J Graeme Hodgson; C David James; Jann N Sarkaria; Cameron Brennan; Ari Kahn; Paul T Spellman; Richard K Wilson; Terence P Speed; Joe W Gray; Matthew Meyerson; Gad Getz; Charles M Perou; D Neil Hayes
Journal:  Cancer Cell       Date:  2010-01-19       Impact factor: 31.743

8.  IDH1/2 gene status defines the prognosis and molecular profiles in patients with grade III gliomas.

Authors:  Ichiyo Shibahara; Yukihiko Sonoda; Masayuki Kanamori; Ryuta Saito; Yoji Yamashita; Toshihiro Kumabe; Mika Watanabe; Hiroyoshi Suzuki; Shunsuke Kato; Chikashi Ishioka; Teiji Tominaga
Journal:  Int J Clin Oncol       Date:  2011-10-06       Impact factor: 3.850

9.  IDH1 and IDH2 mutations are prognostic but not predictive for outcome in anaplastic oligodendroglial tumors: a report of the European Organization for Research and Treatment of Cancer Brain Tumor Group.

Authors:  Martin J van den Bent; Hendrikus J Dubbink; Yannick Marie; Alba A Brandes; Martin J B Taphoorn; Pieter Wesseling; Marc Frenay; Cees C Tijssen; Denis Lacombe; Ahmed Idbaih; Ronald van Marion; Johan M Kros; Winand N M Dinjens; Thierry Gorlia; Marc Sanson
Journal:  Clin Cancer Res       Date:  2010-02-16       Impact factor: 13.801

10.  IDH1 or IDH2 mutations predict longer survival and response to temozolomide in low-grade gliomas.

Authors:  C Houillier; X Wang; G Kaloshi; K Mokhtari; R Guillevin; J Laffaire; S Paris; B Boisselier; A Idbaih; F Laigle-Donadey; K Hoang-Xuan; M Sanson; J-Y Delattre
Journal:  Neurology       Date:  2010-10-26       Impact factor: 11.800

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  16 in total

1.  Silencing of CtBP1 suppresses the migration in human glioma cells.

Authors:  Chengjin Zhao; Yifen Shen; Xuelei Tao; Jian Xu; Junjie Lu; Chao Liu; Zhiwei Xu; Qing Tang; Tao Tao; Xiubing Zhang
Journal:  J Mol Histol       Date:  2016-05-09       Impact factor: 2.611

Review 2.  Prognostic role of microRNA-21 expression in gliomas: a meta-analysis.

Authors:  Chao Li; Jianjun Sun; Qian Xiang; Yan Liang; Nan Zhao; Zhuo Zhang; Qianxin Liu; Yimin Cui
Journal:  J Neurooncol       Date:  2016-08-16       Impact factor: 4.130

Review 3.  Biomarker-Guided Non-Adaptive Trial Designs in Phase II and Phase III: A Methodological Review.

Authors:  Miranta Antoniou; Ruwanthi Kolamunnage-Dona; Andrea L Jorgensen
Journal:  J Pers Med       Date:  2017-01-25

4.  Long noncoding RNA MALAT1 associates with the malignant status and poor prognosis in glioma.

Authors:  Kang-xiao Ma; Hong-jie Wang; Xiao-rong Li; Tao Li; Gang Su; Pan Yang; Jian-wen Wu
Journal:  Tumour Biol       Date:  2015-01-23

5.  Combined detection of Gab1 and Gab2 expression predicts clinical outcome of patients with glioma.

Authors:  Hui Liu; Gang Li; Weitao Zeng; Pengxing Zhang; Feiyan Fan; Yanyang Tu; Yongsheng Zhang
Journal:  Med Oncol       Date:  2014-07-08       Impact factor: 3.064

6.  Prognostic value of long noncoding RNA MALAT1 in digestive system malignancies.

Authors:  Hui Zhai; Xiao-Mei Li; Ailifeire Maimaiti; Qing-Jie Chen; Wu Liao; Hong-Mei Lai; Fen Liu; Yi-Ning Yang
Journal:  Int J Clin Exp Med       Date:  2015-10-15

7.  Decreased expression of miR-378 correlates with tumor invasiveness and poor prognosis of patients with glioma.

Authors:  Bing Li; Yilin Wang; Shiting Li; Hua He; Fengbin Sun; Chunlin Wang; Yicheng Lu; Xiaoqiang Wang; Bangbao Tao
Journal:  Int J Clin Exp Pathol       Date:  2015-06-01

Review 8.  Glioblastoma extracellular vesicles: reservoirs of potential biomarkers.

Authors:  Jasmina S Redzic; Timothy H Ung; Michael W Graner
Journal:  Pharmgenomics Pers Med       Date:  2014-02-13

Review 9.  Prognostic and predictive biomarkers in adult and pediatric gliomas: toward personalized treatment.

Authors:  Harry R Haynes; Sandra Camelo-Piragua; Kathreena M Kurian
Journal:  Front Oncol       Date:  2014-03-24       Impact factor: 6.244

10.  MicroRNA-21 expression is associated with overall survival in patients with glioma.

Authors:  Lin Wu; Gang Li; Dayun Feng; Huaizhou Qin; Li Gong; Jian Zhang; Zhiguo Zhang
Journal:  Diagn Pathol       Date:  2013-12-10       Impact factor: 2.644

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