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Clinical Cancer Research 14, 2978-2987, May 15, 2008. doi: 10.1158/1078-0432.CCR-07-4821
© 2008 American Association for Cancer Research

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Imaging, Diagnosis, Prognosis

Novel Glioblastoma Markers with Diagnostic and Prognostic Value Identified through Transcriptome Analysis

Sreekanth P. Reddy1, Ramona Britto2, Katyayni Vinnakota1, Hebbar Aparna1, Hari Kishore Sreepathi3, Balaram Thota5, Arpana Kumari2, B.M. Shilpa5, M. Vrinda5, Srikantha Umesh5, Cini Samuel4, Mitesh Shetty4, Ashwani Tandon5, Paritosh Pandey5, Sridevi Hegde4, A.S. Hegde6, Anandh Balasubramaniam5, B.A. Chandramouli5, Vani Santosh5, Paturu Kondaiah1, Kumaravel Somasundaram2 and M.R. Satyanarayana Rao3,7

Authors': Affiliations: Departments of 1 Molecular Reproduction, Development and Genetics, 2 Microbiology and Cell Biology, and 3 Biochemistry, Indian Institute of Science; 4 Manipal Hospital; 5 Department of Neuropathology and Neurosurgery, National Institute of Mental Health and Neurosciences; 6 Sri Satya Sai Institute of Higher Medical Sciences; and 7 Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India

Requests for reprints: Kumaravel Somasundaram and Paturu Kondaiah, Indian Institute of Science, Sir C.V. Raman Road, Bangalore, Karnataka 560-012, India. Phone: 91-80-23607171/91-80-22932688; Fax: 91-80-23602697; E-mail: skumar{at}mcbl.iisc.ernet.in and paturu{at}mrdg.iisc.ernet.in.

Purpose: Current methods of classification of astrocytoma based on histopathologic methods are often subjective and less accurate. Although patients with glioblastoma have grave prognosis, significant variability in patient outcome is observed. Therefore, the aim of this study was to identify glioblastoma diagnostic and prognostic markers through microarray analysis.

Experimental Design: We carried out transcriptome analysis of 25 diffusely infiltrating astrocytoma samples [WHO grade II—diffuse astrocytoma, grade III—anaplastic astrocytoma, and grade IV—glioblastoma (GBM)] using cDNA microarrays containing 18,981 genes. Several of the markers identified were also validated by real-time reverse transcription quantitative PCR and immunohistochemical analysis on an independent set of tumor samples (n = 100). Survival analysis was carried out for two markers on another independent set of retrospective cases (n = 51).

Results: We identified several differentially regulated grade-specific genes. Independent validation by real-time reverse transcription quantitative PCR analysis found growth arrest and DNA-damage–inducible {alpha} (GADD45{alpha}) and follistatin-like 1 (FSTL1) to be up-regulated in most GBMs (both primary and secondary), whereas superoxide dismutase 2 and adipocyte enhancer binding protein 1 were up-regulated in the majority of primary GBM. Further, identification of the grade-specific expression of GADD45{alpha} and FSTL1 by immunohistochemical staining reinforced our findings. Analysis of retrospective GBM cases with known survival data revealed that cytoplasmic overexpression of GADD45{alpha} conferred better survival while the coexpression of FSTL1 with p53 was associated with poor survival.

Conclusions: Our study reveals that GADD45{alpha} and FSTLI are GBM-specific whereas superoxide dismutase 2 and adipocyte enhancer binding protein 1 are primary GBM-specific diagnostic markers. Whereas GADD45{alpha} overexpression confers a favorable prognosis, FSTL1 overexpression is a hallmark of poor prognosis in GBM patients.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2008 by the American Association for Cancer Research.