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1.
Tumour Biol ; 34(4): 2283-92, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23589055

ABSTRACT

Glioma is the most common primary brain tumor, yet the high cost of diagnostic imaging has made early detection of asymptomatic glioma a formidable challenge. Thus, the development of a convenient, sensitive, and cost-effective diagnostic strategy, such as enzyme-linked immunosorbent assay (ELISA) based on glioma-specific and World Health Organization (WHO) grade-specific autoantibody serum markers, is necessary. To this end, a comparative proteomic analysis based on two-dimensional western blotting was carried out with the sera of glioma patients and normal controls. Of the 11 novel glioma-expressed autoantibodies, the autoantibody against glial fibrillary acidic protein (GFAP) showed the highest differential expression. To investigate the potential clinical utility of the GFAP autoantibody as an early diagnostic marker for glioma, an ELISA-based assay was developed and validated with sera from glioma patients with WHO grades II (n = 19), III (n = 17), and IV (n = 24). The GFAP autoantibody level directly correlated with WHO grade and tumor volume. Sera from patients of non-glioma brain tumors, as well as non-brain tumors, showed much lower levels of GFAP autoantibody than those of the glioma patients, indicating that elevated GFAP autoantibody is specific to glioma patients. Analysis of the receiver operating characteristics curve suggested that the new ELISA has good distinguishing power and sensitivity for diagnosing glioma patients. This is the first ELISA assay developed for an autoantibody of a glioma antigen and may prove valuable for the clinical detection of glioma.


Subject(s)
Autoantibodies/blood , Biomarkers, Tumor/immunology , Brain Neoplasms/diagnosis , Brain Neoplasms/immunology , Glial Fibrillary Acidic Protein/immunology , Glioma/diagnosis , Glioma/immunology , Autoantibodies/immunology , Biomarkers, Tumor/blood , Brain Neoplasms/blood , Enzyme-Linked Immunosorbent Assay , Glioma/blood , Humans
2.
J Proteomics ; 77: 480-91, 2012 Dec 21.
Article in English | MEDLINE | ID: mdl-23041135

ABSTRACT

The oligodendroglioma (OG) type of glial cell tumors accounts for 2-5% of primary brain neoplasms and 4-15% of gliomas diagnosed worldwide. Allelic losses on 1p, or on 1p and 19q, correlate with chemotherapy response and good prognosis in OG patients; however, the underlying mechanisms are not yet clearly defined. Therefore, we utilized a quantitative proteomics strategy that combined 8-plex isobaric tags for relative and absolute quantitation (iTRAQ) labeling and two-dimensional liquid chromatography-tandem mass spectrometry (2D-LC/MS/MS) to identify molecular signatures, reveal mechanisms, and develop predictive markers of OG patients with 1p loss of heterozygosity (LOH). An initial screening of four OG patients with 1p LOH and four without were identified, and 449 differentially expressed proteins were quantified, 13 of which were significantly different between the two groups. Analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway suggested that 1p LOH may affect the actin network in OG. The differential expression of four of the 13 candidates (UBA1, ubiquitin-like modifier activating enzyme 1; ATP6V1E1, ATPase, H+ transporting, lysosomal 31 kDa, V1 subunit E1; MAP2, microtubule-associated protein 2; and HMGB1, high-mobility group protein B1) was validated in 39 additional OG samples using immunohistochemistry. Decision tree modeling indicated that MAP2 expression is a powerful predictor of 1p LOH. Our results not only demonstrate the utility of iTRAQ-based high-throughput quantitative proteomic analysis in glioma research, but also provide novel markers that may help to reveal the mechanisms of 1p LOH-associated chemosensitivity, and to design diagnostic and prognostic assays and therapeutics for OG.


Subject(s)
Biomarkers, Tumor/metabolism , Brain Neoplasms/metabolism , Chromosomes, Human, Pair 1 , Loss of Heterozygosity , Neoplasm Proteins/metabolism , Nerve Tissue Proteins/metabolism , Oligodendroglioma/metabolism , Biomarkers, Tumor/genetics , Brain Neoplasms/drug therapy , Brain Neoplasms/genetics , Brain Neoplasms/pathology , Chromosomes, Human, Pair 19 , Female , Humans , Male , Neoplasm Proteins/genetics , Nerve Tissue Proteins/genetics , Oligodendroglioma/drug therapy , Oligodendroglioma/genetics , Oligodendroglioma/pathology , Proteomics/methods
3.
J Neurooncol ; 100(1): 113-20, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20195700

ABSTRACT

Anaplastic oligodendroglioma (AO) is an uncommon intracranial tumor and prognosis is poor. In this study, we assessed the factors affecting the prognosis of AO patients. Seventy AO patients were recruited from 2001 to 2006 in Shanghai Huashan Hospital of Fudan University; all were treated surgically. Kaplan-Meier survival analysis and Cox regression analysis were used to analyze the prognostic effects of 14 different factors, which were selected from clinical, radiological, pathological, and treatment variables. The results showed that chemotherapy, age, primary or secondary tumors, preoperative Karnofsky Performance Scale (KPS) scores, the presence of epilepsy at initial presentation, radiological contrast infusion, and neurological parameters all correlated with the prognosis of the patients. Furthermore, Cox multivariate analysis also showed that the age (P < 0.048), primary or secondary tumors (P < 0.010), and chemotherapy (P < 0.010) were significantly correlated with the prognosis of the patients. Age and chemotherapy correlated with the prognosis of AO. The patients younger than 50 years old and who received regular chemotherapy were likely to achieve a good outcome. Moreover, individualized treatment after molecular biological typing of AO may improve the prognosis of AO.


Subject(s)
Brain Neoplasms/diagnosis , Oligodendroglioma/diagnosis , Adolescent , Adult , Age Factors , Aged , Brain Neoplasms/mortality , Brain Neoplasms/therapy , Child , Drug Therapy , Female , Humans , Karnofsky Performance Status , Longitudinal Studies , Magnetic Resonance Imaging/methods , Male , Middle Aged , Oligodendroglioma/mortality , Oligodendroglioma/therapy , Prognosis , Radiotherapy , Retrospective Studies , Tomography Scanners, X-Ray Computed , Young Adult
4.
Zhonghua Yi Xue Za Zhi ; 87(19): 1322-5, 2007 May 22.
Article in Chinese | MEDLINE | ID: mdl-17727776

ABSTRACT

OBJECTIVE: To analyze the correlation between the prognosis of medulloblastoma (MB) and relevant clinical factors. METHODS: Seventy-three MB patients, 48 males and 25 females, aged 13.6 (2 approximately 40), underwent surgical treatment and part of them underwent radiotherapy and/or chemotherapy. Follow-up was conducted among 55 cases for 40.0 months (2 months approximately 8 years and 5 months). The correlation between the prognosis and the clinical factors, such and sex, age, tumor location, extent of tumor resection, brainstem invasion, radiotherapy, chemotherapy, ventriculoperitoneal shunt and glial differentiation was analyzed. RESULTS: Six patients died postoperatively, and average survival time of the other 49 patients was 61 months. Twenty patients had a survival time of 3 years after operation, and the 3-year survival rate was 63.98%; and 8 patients survived for 5 years after operation with a 5-year survival rate of 43%. The prognosis Analysis showed that only radiotherapy was the only influencing factor of survival time. Those undergoing whole brain/posterior fossa plus spinal axis radiotherapy showed a better prognosis than those undergoing whole brain/posterior fossa radiotherapy. CONCLUSION: The prognosis of MB is not good; yet, surgical resection with regular radiotherapy and chemotherapy is helpful for the prognosis of MB.


Subject(s)
Central Nervous System Neoplasms/therapy , Medulloblastoma/therapy , Adolescent , Adult , Central Nervous System Neoplasms/mortality , Central Nervous System Neoplasms/pathology , Child , Child, Preschool , Combined Modality Therapy , Female , Follow-Up Studies , Humans , Kaplan-Meier Estimate , Male , Medulloblastoma/mortality , Medulloblastoma/pathology , Prognosis , Retrospective Studies , Survival Rate
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