Abstract
It has been found that preoperative plasma IGFBP-2 levels correlate with prognosis in glioma patients. The prognostic value of plasma IGFBP-2 after postoperative combined radiotherapy and chemotherapy in glioma patients is unknown. Plasma IGFBP-2 levels in 83 glioblastoma patients after postoperative radiotherapy plus chemotherapy were analyzed using an IGFBP-2 ELISA kit. We found that after standard therapy plasma IGFBP-2 levels significantly correlated with the patient's age (R = 0.738, P<0.001) and Karnofsky performance status (KPS, R = −0.633, P<0.05). Cox proportional hazards models were used to calculate hazard ratios (HRs) of death according to plasma IGFBP-2 levels adjusted for patient clinical characteristics. Plasma IGFBP-2 levels significantly correlated with overall survival in glioblastoma patients (multivariate HR = 1.035; 95% CI, 1.024–1.047; P<0.001). The effect of plasma IGFBP-2 levels on survival seemed to differ according to patients' age. Among patients older than 60, high plasma IGFBP-2 levels were associated with a significant increase in overall mortality (HR = 1.097; 95% CI, 1.055–1.140; P<0.001). In contrast, plasma IGFBP-2 levels conferred no significant effect on mortality among patients younger than 60. Elevated plasma IGFBP-2 levels after combined postoperative radiotherapy and chemotherapy in elderly glioblastoma patients correlate with poor KPS score and predicts poor prognosis.
Introduction
Glioma is the most common primary tumor of the central nervous system, accounting for 80% of adult primary brain tumors [1]. Patients with the most advanced grade of glioma, glioblastoma multiforme (GBM), confront an extremely poor clinical outcome [2], [3], [4], [5], [6], [7], due to the highly proliferative and invasive nature of this tumor [8], [9], [10], [11]. The establishment of molecular markers would therefore be of considerable value in the identification of GBM tumor progression and the prediction of patient prognosis.
Previous studies have identified overexpression of insulin-like growth factor-binding protein 2 (IGFBP-2) as one of the most frequent molecular events in GBM [12], [13], [14]. However, IGFBP-2 is not highly expressed in all GBMs with poor prognosis, and IGFBP-2 expression in glioma tissues is not a suitable marker for prognosis prediction. Recently, preoperative plasma IGFBP-2 level has been associated with GBM patient prognosis [8]. IGFBP-2 expression is common to many tissues and organs, and is subject to regulation by numerous factors, including treatment methods, nutrition conditions and others, all of which significantly influence the IGFBP-2 levels of plasma [13], [15], [16]. Plasma IGFBP-2 levels may therefore change greatly after surgery and postoperative radiotherapy plus chemotherapy. Thus, in this study, we examined the prognostic value of plasma IGFBP-2 levels after postoperative combined radiotherapy and chemotherapy.
Materials and Methods
Study Population
We retrospectively examined blood samples and patient records from Chinese Glioma Genome Atlas (CGGA, http://www.cgcg.org.cn) for 83 patients who had been diagnosed with GBM. All patients received surgical resection from January 2007 to December 2009 and subsequently received similar radiotherapy and alkylating agent-based chemotherapy regimens according to Stupp protocol [17]. Surgical resection was performed by neurosurgeons who used similar operational techniques and principles. Samples were immediately snap-frozen in liquid nitrogen after resection. According to the 2007 World Health Organization (WHO) classification guidelines, the histological diagnosis was established and verified by two neuropathologists. Prior to the study, the percentage of tumor cells was evaluated using a hematoxylin and eosin–stained frozen section for each sample. Only samples with more than 80% tumor cells were selected for analysis. The patients had no other cancers or diseases such as acute infection, diabetes, and ischemia and received no other previous radiotherapy, chemotherapy, or corticosteroid therapy.
Tumor size was calculated based on preoperative MRI scans as follows: longest diameter × widest diameter × thickness (section thickness × the number of layers) ×1/2. Clinical data were retrospectively collected from medical records. The information on tumor resection for all patients examined was taken from medical charts. Extent of resection was defined as follows: (0) gross total resection (GTR), (1) partial removal with residual tumor <30%, and (2) residual tumor >30% or biopsy. The mean age of the patients was 56.7 years (range, 26–84 years). The median follow-up period for these patients was 13.8 months (range, 0.9 to 34.8 months). All the patients died of GBM at the end point of follow-up. Overall survival (OS) was defined as the interval between surgery and death from GBM. Patient clinical characteristics are summarized in Table 1 . This study was approved by the institutional review board of the First Hospital of China Medical University, and written informed consent was obtained from every patient.
Table 1. Clinical and Molecular Characteristics of the 83 GBM Patients*.
Clinical or MolecularFeature | Cases | ||
No. | % | ||
Total No. of patients | 83 | ||
Sex | |||
Male | 50 | 60.2 | |
Female | 33 | 39.8 | |
Age, years | |||
Mean | 56.7 | ||
SD | 17.8 | ||
≥60 | 40 | 48.2 | |
<60 | 43 | 51.8 | |
KPS | |||
Mean | 78.7 | ||
SD | 12.4 | ||
Tumor size, cm3 | |||
Mean | 66.8 | ||
SD | 24.2 | ||
Extent of resection | |||
Gross total resection | 38 | 45.8% | |
Residual tumor <30% | 20 | 24.1% | |
Residual tumor >30% | 25 | 30.1% | |
MGMT promoter | |||
Methylated | 25 | 30.1% | |
Unmethylated | 58 | 69.9% | |
Plasma IGFBP-2, ng/ml | |||
Mean | 637.0 | ||
SD | 52.3 | ||
Median | 627.5 |
*KPS: Karnofsky performance status; IGFBP-2: Insulin-like growth factor binding protein 2; MGMT: O(6)-methylguanine-DNA-methyltransferase.
Plasma Sample Collection
Blood was taken from GBM patients the day after postoperative radiotherapy plus chemotherapy. Blood samples were collected in the morning after an overnight fast and drawn into tubes with EDTA anticoagulant. The blood was centrifuged at 3,500 rpm for 10 min to recover plasma. Then, the upper-layer plasma was collected, aliquoted into Eppendorf tubes and then recentrifuged at 10,000 rpm for 3 min at 4°C to further remove white cells and debris. The extracted plasma was stored at −80°C until analysis.
ELISA Assays
The IGFBP-2 ELISA kit was purchased from RapidBio Lab, Calabasas, CA, USA. IGFBP-2 levels in plasma were measured according to the manufacturer's instructions. Examination was repeated three times for each sample, and an average concentration of plasma IGFBP-2 was calculated and used for statistical analysis.
MGMT promoter methylation analysis by MSP
Methylation-specific PCR (MSP) was performed as we previously described [10] to detect O(6)-methylguanine-DNA-methyltransferase (MGMT) promoter methylation. Briefly, tissue samples were lysed with 490 μL lysis buffer containing 20 mM Tris-Cl (pH 8.0), 5 mM EDTA (pH 8.0), 400 mM NaCl and 1% (w/v) SDS, and digested with 10 μL proteinase K at 10 mg/mL at 37°C for 12 h. Genomic DNA was purified from the lysate by phenol/chloroform extraction. One microgram of DNA was denatured by NaOH and modified by sodium bisulfite. MSP was performed using primer sequences for MGMT as follows: 5′-TTT GTG TTT TGA TGT TTG TAG GTT TTT GT-3′ (forward) and 5′-AAC TCC ACA CTC TTC CAA AAA CAA AAC A-3′ (reverse) for the unmethylated reaction; and 5′-TTT CGA CGT TCG TAG GTT TTC GC-3′ (forward) and 5′-GCA CTC TTC CGA AAA CGA AAC G-3′ (reverse) for the methylated reaction. Each PCR reaction (10 μL) was loaded onto nondenaturing 6% polyacrylamide gels, stained with ethidium bromide, and visualized under UV illumination. The PCR reaction was repeated at least three times.
Survival Analysis and Statistical Analysis
Cox regression analysis was used to calculate hazard ratios (HRs) of death according to plasma IGFBP-2 level after postoperative radiotherapy plus chemotherapy, unadjusted and adjusted for age, sex, Karnofsky performance status (KPS, after postoperative combined radiotherapy and chemotherapy), tumor size, extent of resection and MGMT promoter methylation status. To adjust for potential confounding, age, KPS, tumor size and plasma IGFBP-2 levels were used as continuous variables and all of the other covariates were used as categorical variables ( Table 1 ). Kaplan-Meier analysis was used to describe the distribution of overall survival time, and the log-rank test was performed.
Correlations between plasma IGFBP-2 level, age and KPS were analyzed by Pearson correlation analysis (SPSS 13.0). The student's t-test and ANOVA were used to determine statistical significance. Each experiment was done in triplicate. All data are presented as the mean ± standard error of three independent experiments. A two-tailed P-value of <0.05 was regarded as significant.
Results
Plasma IGFBP-2 Level after combined Treatment Correlated with Age and KPS in GBM Patients
We measured plasma IGFBP-2 levels of the 83 GBM patients after postoperative combined radiotherapy and chemotherapy using ELISA assay. The mean plasma IGFBP-2 level was 637.0±52.3 ng/ml (range, 560.4–728.6 ng/ml). After standard therapy, plasma IGFBP-2 level significantly correlated with the patient's age (R = 0.738, P<0.001). As shown in Fig 1A , we found that IGFBP-2 levels in plasma were markedly higher in patients older than 60 (mean±SD: 683.3±33.3 ng/ml) than in patients younger than 60 (593.9±20.8 ng/ml; P<0.05). Moreover, OS was substantially decreased in elderly patients (mean ±SD: 304.2±171.3 days) compared to younger patients (582.1±188.1 days; P<0.05; Fig 1C ).
In addition, after postoperative radiotherapy and chemotherapy, plasma IGFBP-2 level also negatively correlated with patient KPS (R = −0.633, P<0.05, median KPS = 78.7). Plasma IGFBP-2 levels were remarkably higher in patients with KPS values less than 78.7 (mean ±SD: 689.4±41.4 ng/ml) than in patients with KPS values greater than 78.7 (613.1±37.8 ng/ml; P<0.05; Fig 1B ). OS was markedly decreased in patients with KPS values less than 78.7 (mean±SD: 276.5±190.5 days) relative to patients with KPS values greater than 78.7 (526.4±198.6 days; P<0.001; Fig 1D ).
We found that, after postoperative radiotherapy plus chemotherapy, plasma IGFBP-2 levels did not vary significantly with sex, preoperative tumor size and MGMT promoter methylation status. Moreover, plasma IGFBP-2 levels seem to be not associated with the extent of resection, since plasma IGFBP-2 levels were similar between patients underwent GTR and patients with residual tumor >30% (mean±SD, 646.4±57.0 ng/ml and 643.3±43.7 ng/ml respectively, Fig 2A ). The extent of resection was mainly determined by considerations including functional preservation and general state of the patients. In this series of patients, extent of resection did not significantly correlate with patients' age ( Fig 2B ).
Plasma IGFBP-2 Level after combined Treatment Correlated with the Prognosis in GBM patients
Next, we examined the survival function of plasma IGFBP-2 levels after combined treatment in GBM patients. Since the median plasma IGFBP-2 level in the 83 GBM patients was 627.5 ng/ml, we used a level of 627.5 ng/ml as the cutoff point to divide the GBM patients into two equal subgroups. Plasma IGFBP-2 level significantly discriminated the survival of the two GBM subgroups, with a mean OS of 303.6±24.9 days (median OS, 313 days; 95% CI, 244.0–382.0 days) for patients with plasma IGFBP-2>627.5 ng/ml versus a mean OS of 589.3±29.8 days (median OS, 568 days; 95% CI, 536.2–599.8 days, Fig 3A ) for patients with plasma IGFBP-2<627.5 ng/ml. Univariate and multivariate Cox regression analysis showed that, plasma IGFBP-2 level was an independent predictor for OS of GBM patients (multivariate HR = 1.035, 95% CI 1.024–1.047, P<0.001, Table 2 ). In this study, multivariate analysis showed that KPS, extent of resection and MGMT promoter methylation status were also associated with OS in GBM. While the OS of patients underwent GTR and OS of patients with residual tumor <30% were similar (mean OS, 481.0±46.0 days and 501.0±33.1 days respectively), patients with residual tumor >30% significantly experienced a shorter OS (mean OS, 356.0±29.6 days).
Table 2. Univariate and Multivariate Cox Hazards Analysis in the 83 GBM Patients.
Covariate | Univariate | Multivariate | ||||
Hazard ratio | 95% CI | P | Hazard ratio | 95% CI | P | |
Age | 1.028 | 1.013–1.042 | <0.001 | 0.990 | 0.971–1.010 | 0.344 |
Sex | 0.812 | 0.516–1.277 | 0.368 | 1.384 | 0.843–2.273 | 0.199 |
KPS | 0.957 | 0.935–0.980 | <0.001 | 0.971 | 0.944–0.999 | 0.044 |
Tumor size | 0.997 | 0.989–1.006 | 0.539 | 1.005 | 0.996–1.015 | 0.265 |
Extent of resection | 1.602 | 1.201–2.136 | 0.001 | 1.656 | 1.226–2.238 | 0.001 |
MGMT | 0.455 | 0.276–0.750 | 0.002 | 0.570 | 0.335–0.969 | 0.038 |
Plasma IGFBP-2 | 1.032 | 1.024–1.040 | <0.001 | 1.035 | 1.024–1.047 | <0.001 |
*KPS: Karnofsky performance status; IGFBP-2: Insulin-like growth factor binding protein 2;
MGMT: MGMT promoter methylation status.
The Prognostic Effect of Plasma IGFBP-2 Levels in Different Age Groups
Given the relationship between patient age and plasma IGFBP-2 levels after postoperative radiotherapy and chemotherapy, we next examined the prognostic effect of plasma IGFBP-2 levels in different age groups. As shown in Fig 3B , in patients older than 60, the median plasma IGFBP-2 level was 687 ng/ml, which was used as the cutoff point. The plasma IGFBP-2 level effectively discriminated between the survival of the two subgroups, with a mean OS of 183.3±21.9 days (median OS, 169.0 days; 95% CI, 147.1–190.9 days) for patients with plasma IGFBP-2>687 ng/ml versus a mean OS of 425.1±31.5 days (median OS, 385.0 days; 95% CI, 356.5–413.5 days) for patients with plasma IGFBP-2<687 ng/ml. Elevated plasma IGFBP-2 level was associated with a significant increase in overall mortality (multivariate HR = 1.097; 95% CI, 1.055 to 1.140, P<0.001; Table 3 ). In contrast, plasma IGFBP-2 levels conferred no significant effect on patient outcome among patients younger than 60 (multivariate HR = 1.001; 95% CI 0.985–1.018, P = 0.869; Fig 3C , Table 4 ). As shown in Table 3 and Table 4 , in this study, poor KPS after postoperative radiotherapy plus chemotherapy correlated with a marked increase in the overall mortality in the elderly group and residual tumor >30% predicted poor prognosis in younger patients.
Table 3. Univariate and Multivariate Cox Hazards Analysis in Elderly GBM Patients.
Covariate | Univariate | Multivariate | ||||
Hazard ratio | 95% CI | P | Hazard ratio | 95% CI | P | |
Age | 0.984 | 0.939–1.032 | 0.512 | 0.976 | 0.925–1.029 | 0.371 |
Sex | 0.734 | 0.368–1.466 | 0.381 | 1.184 | 0.532–2.634 | 0.679 |
KPS | 0.780 | 0.716–0.850 | <0.001 | 0.883 | 0.802–0.972 | 0.011 |
Tumor size | 0.997 | 0.985–1.009 | 0.604 | 0.986 | 0.968–1.005 | 0.139 |
Extent of resection | 0.976 | 0.699–1.364 | 0.888 | 1.164 | 0.750–1.806 | 0.499 |
MGMT | 0.465 | 0.221–0.976 | 0.043 | 0.203 | 0.067–0.616 | 0.005 |
Plasma IGFBP-2 | 1.064 | 1.044–1.085 | <0.001 | 1.097 | 1.055–1.140 | <0.001 |
*KPS: Karnofsky performance status; IGFBP-2: Insulin-like growth factor binding protein 2; MGMT: MGMT promoter methylation status.
Table 4. Univariate and Multivariate Cox Hazards Analysis in Younger GBM Patients.
Covariate | Univariate | Multivariate | ||||
Hazard ratio | 95% CI | P | Hazard ratio | 95% CI | P | |
Age | 0.983 | 0.955–1.012 | 0.260 | 0.987 | 0.955–1.021 | 0.450 |
Sex | 0.538 | 0.284–1.018 | 0.057 | 1.055 | 0.515–2.159 | 0.884 |
KPS | 1.162 | 1.074–1.257 | <0.001 | 1.034 | 0.951–1.124 | 0.434 |
Tumor size | 0.998 | 0.986–1.010 | 0.728 | 1.002 | 0.987–1.017 | 0.816 |
Extent of resection | 6.110 | 3.344–11.165 | <0.001 | 5.641 | 2.638–12.06 | <0.001 |
MGMT | 0.358 | 0.177–0.726 | 0.004 | 0.335 | 0.142–0.791 | 0.013 |
Plasma IGFBP-2 | 1.003 | 0.989–1.018 | 0.641 | 1.001 | 0.985–1.018 | 0.869 |
*KPS: Karnofsky performance status; IGFBP-2: Insulin-like growth factor binding protein 2; MGMT: MGMT promoter methylation status.
We further examined the influence of elevated plasma IGFBP-2 levels on survival across strata of the extent of resection or MGMT promoter methylation status in the two age groups. The increased risk of death was apparent in all subgroups among patients older than 60. However, plasma IGFBP-2 levels were not associated with OS in any subgroup among patients younger than 60.
The Prognostic Effect of Plasma IGFBP-2 Levels in Different KPS Groups
We next examined the prognostic effect of plasma IGFBP-2 levels in different KPS groups. The mean KPS value of the patients was 78.7, which was used to divide the two subgroups. In patients with KPS value less than 78.7, elevated plasma IGFBP-2 level was associated with a significant increase in overall mortality (multivariate HR = 1.488; 95% CI, 1.160 to1.910, P = 0.002). In patients with KPS value greater than 78.7, elevated plasma IGFBP-2 level also correlated with a marked increase in overall mortality (multivariate HR = 1.026; 95% CI, 1.012 to 1.040, P<0.001). Using plasma IGFBP-2 levels of 705.6 ng/ml (median) and 613.1 ng/ml (mean) respectively, the survival of the two subgroups can be effectively discriminated ( Fig 4 ).
Discussion
Regardless of aggressive approaches such as surgery, combined chemotherapy and radiotherapy, the outcome of patients with GBM remains poor [17]. Clinical experience has shown, however, that different patients experience distinct prognoses in response to the same treatment, and the development of biomarkers, particularly serum markers, that reflect the efficacy of treatment and the prognosis in GBM patients is an important goal.
While IGFBP-2 is a known potent modulator of the mitogenic effects of IGFs [18], IGF-independent actions of IGFBP-2 have been recently recognized, suggesting that IGFBP-2 is a regulator of tumor growth and invasiveness in its own right [19], [20]. Serum IGFBP-2 levels and tumor IGFBP-2 expression are dramatically elevated in a variety of human malignancies including GBM [14], [21], [22], and it has been reported that preoperative plasma IGFBP-2 levels are correlated with recurrence and disease-free survival in patients with GBM [8]. Given that plasma IGFBP-2 level is under dynamic changes in response to factors such as a patient's systemic state and specific treatment regimens, however, determining the prognostic value of plasma IGFBP-2 level after postoperative radiotherapy plus chemotherapy has substantial potential value.
Previous studies demonstrated that although IGFBP-2 expression was remarkably up-regulated in GBMs, the prognostic value of its expression in GBM tissue was uncertain [23], [24]. We found that after surgery and combined radiotherapy plus chemotherapy, plasma IGFBP-2 levels remained significantly high in certain patients. While it is unclear why plasma IGFBP2 remains elevated in these patients, we can surmise that the primary source of plasma IGFBP-2 in these patients may not be the tumors. For one thing, plasma IGFBP-2 levels were not associated with the extent of resection and residual tumor after surgery. For another thing, plasma IGFBP-2 levels were remarkably high in some radiologically tumor-free patients after combined therapy. Consistent with this notion, Lin et al reported that in patients with GBM, there was no correlation between plasma IGFBP-2 level and tumor IGFBP-2 expression as well as tumor size [8]. Collectively, these results indicate that plasma IGFBP-2 in GBM patients has other origins besides the tumor. However, we cannot accurately assess the residual tumor volume after postoperative radiotherapy plus chemotherapy, since in some cases it is very difficult to discriminate between progression and pseudoprogression. Also, we cannot measure the IGFBP-2 expression level in residual tumor after combined treatment. Thus, the origin of plasma IGFBP-2 after standard therapy needs to be further explored.
We demonstrated that elevated plasma IGFBP-2 levels persist in elderly GBM patients after postoperative radiotherapy plus chemotherapy, and that high plasma IGFBP-2 is associated with a marked increase in overall mortality. In patients younger than 60 years, however, the correlation between plasma IGFBP-2 levels and prognosis was insignificant. Plasma IGFBP-2 therefore appears to play a more important role in the prognosis of elderly patients.
Two factors might explain why elevated plasma IGFBP-2 leads to poor prognosis in elderly patients. Firstly, the plasma IGFBP-2 level may reflect the systemic status of the patient. It has been reported that high serum IGFBP-2 concentrations are a powerful indicator of overall poor physical functional status in elderly men [16], [25]. Similarly, in this study, we showed that higher plasma IGFBP-2 levels were correlated with lower KPS, a commonly used indicator of overall systemic status, and a well-known predictor for prognosis. Secondly, elevated plasma IGFBP-2 may affect residual tumor tissue and promote tumor growth. It has been reported that exogenous IGFBP-2 promotes proliferation and/or invasion of many cancer cells, including epithelial ovarian carcinoma cells [19], breast cancer cells [26] and neuroblastoma cells [27]. And in the future study, we will test the effect of exogenous IGFBP-2 on the growth of GBM cells.
Levels of circulating IGFBP-2 are highly regulated by metabolic, hormonal and developmental factors, and can be up-regulated by various stimuli, including fasting stress and other factors [28]. Unfortunately, during treatment, GBM patients frequently experience such conditions: for example, vomiting caused by chemotherapy and nervousness can elevate plasma IGFBP-2 level. Our study therefore emphasizes the importance of therapeutic intervention for GBM patients to decrease plasma IGFBP-2 levels. However, the mechanisms by which IGFBP-2 affects prognosis of GBM patients may be complicated, since plasma IGFBP-2 levels have been related to many diseases [29], [30], [31] other than solid tumors.
The lack of serial dynamic plasma IGFBP-2 levels is a limitation of our study, as is the small number of cases. Our data indicate, however, that elevated plasma IGFBP-2 levels after postoperative radiotherapy plus chemotherapy in elderly GBM patients is a predictor of poor prognosis, and that strategies to reduce plasma IGFBP-2 levels may be a suitable treatment approach in GBM patients. A greater understanding of the correlation between plasma IGFBP-2 level and treatment efficacy will be of considerable clinical significance.
Acknowledgments
We wish to thank Jingpu Shi at the Department of Clinical Epidemiology, The First Affiliated Hospital of China Medical University, and Yujie Zhao at China Medical University for superb technical assistance with the statistical analysis.
Funding Statement
This work was supported by grants from the National High Technology Research and Development Program of China (863) (No. 2012AA02A508), National Natural Science Foundation of China (No. 81172409) and Science and Technology Department of Liaoning Province (No. 2011225034). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Quaranta M, Divella R, Daniele A, Di TS, Venneri MT, et al. (2007) Epidermal growth factor receptor serum levels and prognostic value in malignant gliomas. Tumori 93: 275–280. [DOI] [PubMed] [Google Scholar]
- 2. Malkoun N, Chargari C, Forest F, Fotso MJ, Cartier L, et al. (2012) Prolonged temozolomide for treatment of glioblastoma: preliminary clinical results and prognostic value of p53 overexpression. J Neurooncol 106: 127–133. [DOI] [PubMed] [Google Scholar]
- 3. Natsume A, Kato T, Kinjo S, Enomoto A, Toda H, et al. (2012) Girdin maintains the stemness of glioblastoma stem cells. Oncogene 31: 2715–2724. [DOI] [PubMed] [Google Scholar]
- 4. Iliadis G, Kotoula V, Chatzisotiriou A, Televantou D, Eleftheraki AG, et al. (2012) Volumetric and MGMT parameters in glioblastoma patients: survival analysis. BMC Cancer 12: 3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Duarte CW, Willey CD, Zhi D, Cui X, Harris JJ, et al. (2012) Expression signature of IFN/STAT1 signaling genes predicts poor survival outcome in glioblastoma multiforme in a subtype–specific manner. PLoS One 7: e29653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Wang Y, Li S, Chen L, You G, Bao Z, et al. (2012) Glioblastoma with an oligodendroglioma component: distinct clinical behavior, genetic alterations, and outcome. Neuro Oncol 14: 518–525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Carico C, Nuno M, Mukherjee D, Elramsisy A, Dantis J, et al. (2012) Loss of PTEN is not associated with poor survival in newly diagnosed glioblastoma patients of the temozolomide era. PLoS One 7: e33684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Lin Y, Jiang T, Zhou K, Xu L, Chen B, et al. (2009) Plasma IGFBP-2 levels predict clinical outcomes of patients with high-grade gliomas. Neuro Oncol 11: 468–476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Zhang J, Huang K, Shi Z, Zou J, Wang Y, et al. (2011) High beta-catenin/Tcf-4 activity confers glioma progression via direct regulation of AKT2 gene expression. Neuro Oncol 13: 600–609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Han S, Xia J, Qin X, Han S, Wu A (2013) Phosphorylated SATB1 is associated with the progression and prognosis of glioma. Cell Death Dis 4: e901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Han S, Tie X, Meng L, Wang Y, Wu A (2013) PMA and ionomycin induce glioblastoma cell death: activation-induced cell-death-like phenomena occur in glioma cells. PLoS One 8: e76717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Li S, Yan C, Huang L, Qiu X, Wang Z, Jiang T (2012) Molecular prognostic factors of anaplastic oligodendroglial tumors and its relationship: a single institutional review of 77 patients from China. Neuro Oncol 14: 109–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Zhang W, Wang H, Song SW, Fuller GN (2002) Insulin-like growth factor binding protein 2: gene expression microarrays and the hypothesis-generation paradigm. Brain Pathol 12: 87–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Zhou YH, Hess KR, Liu L, Linskey ME, Yung WK (2005) Modeling prognosis for patients with malignant astrocytic gliomas: quantifying the expression of multiple genetic markers and clinical variables. Neuro Oncol 7: 485–494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Hoeflich A, Reisinger R, Lahm H, Kiess W, Blum WF, et al. (2001) Insulin-like growth factor-binding protein 2 in tumorigenesis: protector or promoter. Cancer Res 61: 8601–8610. [PubMed] [Google Scholar]
- 16. van den Beld AW, Blum WF, Pols HA, Grobbee DE, Lamberts SW (2003) Serum insulin-like growth factor binding protein-2 levels as an indicator of functional ability in elderly men. Eur J Endocrinol 148: 627–634. [DOI] [PubMed] [Google Scholar]
- 17. Stupp R, Mason WP, van den Bent MJ, Weller M, Fisher B, et al. (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352: 987–996. [DOI] [PubMed] [Google Scholar]
- 18. Clemmons DR (2007) Value of insulin-like growth factor system markers in the assessment of growth hormone status. Endocrinol Metab Clin North Am 36: 109–129. [DOI] [PubMed] [Google Scholar]
- 19. Chakrabarty S, Kondratick L (2006) Insulin-like growth factor binding protein-2 stimulates proliferation and activates multiple cascades of the mitogen-activated protein kinase pathways in NIH-OVCAR3 human epithelial ovarian cancer cells. Cancer Biol Ther 5: 189–197. [DOI] [PubMed] [Google Scholar]
- 20. Chatterjee S, Park ES, Soloff MS (2004) Proliferation of DU145 prostate cancer cells is inhibited by suppressing insulin-like growth factor binding protein-2. Int J Urol 11: 876–884. [DOI] [PubMed] [Google Scholar]
- 21. Azar WJ, Zivkovic S, Werther GA, Russo VC (2013) IGFBP-2 nuclear translocation is mediated by a functional NLS sequence and is essential for its pro-tumorigenic actions in cancer cells. Oncogene. 33: 578–588. [DOI] [PubMed] [Google Scholar]
- 22. Lancaster JM, Sayer RA, Blanchette C, Calingaert B, Konidari I, et al. (2006) High expression of insulin-like growth factor binding protein-2 messenger RNA in epithelial ovarian cancers produces elevated preoperative serum levels. Int J Gynecol Cancer 16: 1529–1535. [DOI] [PubMed] [Google Scholar]
- 23. Santosh V, Arivazhagan A, Sreekanthreddy P, Srinivasan H, Thota B, et al. (2010) Grade-specific expression of insulin-like growth factor-binding proteins-2, -3, and -5 in astrocytomas: IGFBP-3 emerges as a strong predictor of survival in patients with newly diagnosed glioblastoma. Cancer Epidemiol Biomarkers Prev 19: 1399–1408. [DOI] [PubMed] [Google Scholar]
- 24. Kulkarni A, Thota B, Srividya MR, Thennarasu K, Arivazhagan A, et al. (2012) Expression pattern and prognostic significance of IGFBP isoforms in anaplastic astrocytoma. Pathol Oncol Res 18: 961–967. [DOI] [PubMed] [Google Scholar]
- 25. Hu D, Pawlikowska L, Kanaya A, Hsueh WC, Colbert L, et al. (2009) Serum insulin-like growth factor-1 binding proteins 1 and 2 and mortality in older adults: the Health, Aging, and Body Composition Study. J Am Geriatr Soc 57: 1213–1218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Foulstone EJ, Zeng L, Perks CM, Holly JM (2013) Insulin-Like Growth Factor Binding Protein 2 (IGFBP-2) Promotes Growth and Survival of Breast Epithelial Cells: Novel Regulation of the Estrogen Receptor. Endocrinology 154: 1780–1793. [DOI] [PubMed] [Google Scholar]
- 27. Russo VC, Schutt BS, Andaloro E, Ymer SI, Hoeflich A, et al. (2005) Insulin-like growth factor binding protein-2 binding to extracellular matrix plays a critical role in neuroblastoma cell proliferation, migration, and invasion. Endocrinology 146: 4445–4455. [DOI] [PubMed] [Google Scholar]
- 28. Hoeflich A, Fettscher O, Preta G, Lahm H, Kolb HJ, et al. (2003) Increased activity of catalase in tumor cells overexpressing IGFBP-2. Horm Metab Res 35: 816–821. [DOI] [PubMed] [Google Scholar]
- 29. Kitszel A, Krawczuk-Rybak M (2007) Are elevated serum levels of IGFBP-2 after intensive chemotherapy of childhood acute lymphoblastic leukemia a risk factor of relapse. Adv Med Sci 52: 147–153. [PubMed] [Google Scholar]
- 30. Mattsson A, Svensson D, Schuett B, Osterziel KJ, Ranke MB (2008) Multidimensional reference regions for IGF-I, IGFBP-2 and IGFBP-3 concentrations in serum of healthy adults. Growth Horm IGF Res 18: 506–516. [DOI] [PubMed] [Google Scholar]
- 31. Amin S, Riggs BL, Melton LJ 3rd, Achenbach SJ, Atkinson EJ, Khosla S (2007) High serum IGFBP-2 is predictive of increased bone turnover in aging men and women. J Bone Miner Res 22: 799–807. [DOI] [PubMed] [Google Scholar]