Literature DB >> 26945349

Isocitrate Dehydrogenase (IDH)1/2 Mutations as Prognostic Markers in Patients With Glioblastomas.

Jun-Rui Chen1, Yu Yao, Hong-Zhi Xu, Zhi-Yong Qin.   

Abstract

The purpose of this study was to perform a meta-analysis examining the association of isocitrate dehydrogenase (IDH)1/2 mutations with overall survival (OS) and progression-free survival (PFS) in patients with glioblastomas. Medline, Cochrane, EMBASE, and Google Scholar were searched from inception to January 28, 2015, using combinations of the following keywords: IDH mutation, brain tumor, glioma, glioblastoma, oligodendroglioma, prognosis. Randomized controlled trials, and prospective and retrospective studies of patients with glioblastomas that provided IDH mutation and survival data were included. OS and PFS were used to evaluate the association of IDH1 and IDH1/2 mutations and prognosis. Hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) for OS and PFS were calculated and compared between patients with and without mutations. Of 165 studies that were identified, 136 nonrelevant studies were excluded. Twenty-nine full-text articles were assessed, and of these, 5 were excluded as they did not provide a quantitative outcome. Therefore, 24 studies were included in the qualitative synthesis. The pooled HR of 0.358 (95% CI 0.264-0.487, P < 0.001) indicated that IDH mutations were associated with better OS. Similarly, the pooled HR of 0.322 (95% CI 0.24200.455, P < 0.001) indicated that IDH mutations were associated with better PFS. When patients were stratified by surgery versus no surgery or IDH1 versus IDH1/2 mutations, the results also indicated that the presence of IDH mutations was associated with better OS and PFS. The IDH mutations are associated with improved survival in patients with glioblastomas.

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Year:  2016        PMID: 26945349      PMCID: PMC4782833          DOI: 10.1097/MD.0000000000002583

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


INTRODUCTION

Glioblastomas (glioblastoma multiforme [GBM]) are the most common and aggressive malignant brain tumor, with a median survival from diagnosis of approximately 12 to 14 months.[1] The majority of glioblastomas (∼90%) occur without evidence of a less malignant precursor lesion (primary glioblastomas) in older patients, whereas secondary glioblastomas progress from low-grade diffuse astrocytoma or anaplastic astrocytoma, and occur in younger patients.[2] Secondary glioblastomas have a significantly better prognosis than primary glioblastoma.[2] Approximately 70% to 80% of secondary glioblastomas have somatic mutation in the isocitrate dehydrogenase 1 (IDH1) gene, which are absent in primary glioblastoma.[3-5] Wild-type IDH1 protein is found in the cytoplasm, peroxisomes, and endoplasmic reticulum, and catalyzes the oxidative decarboxylation of isocitrate to α-ketogluterate.[6-8] Mutations in IDH1 associated with glioblastomas map to the highly conserved residue R132 in the enzyme active site, and usually result in an Arg to His substitution, although other substitutions can also occur.[8-12] The IDH1 R132 mutation occurs in 55% to 80% of grade II and III oligodendrogliomas and astrocytomas, but is rare in primary glioblastomas.[12] To a lesser extent, glial tumors have somatic mutations in the corresponding codon (codon R172) of the IDH2 gene.[9] The IDH2 protein has a similar function to IDH1, but is found in the mitochondria. Both the IDH1-R132 and IDH2-R172 mutations are thought to result in an accumulation of the oncometabolite 2-hydroxyglutarate instead of α-ketogluterate.[13,14] It is unclear how a tumor's biology is affected by IDH1/2 mutations. IDH1/2 mutations may result in genome-wide epigenetic changes in human gliomas.[4] Another hypothesis is that the mutations reduce the capacity of cells to produce NADPH, and consequently lowers the ability of the cell to scavenge oxygen species, making the tumor cells more susceptible to irradiation and chemotherapy. This increased sensitivity to treatments may result in increased patient survival.[15] A number of studies have found that IDH1-R132 and IDH2-R172 mutations are linked to the genomic profile of the tumor, and are important prognostic markers in grade II to IV gliomas.[16-20] However, other studies have not found an association of IDH1/2 mutations with prognosis in low-grade tumors.[18,21] Therefore, the prognostic value of these genetic markers for survival is not clear. The purpose of the current study was to perform a meta-analysis to examine the association of IDH1/2 mutations with overall survival (OS) and progression-free survival (PFS) in patients with glioblastomas.

METHODS

Literature Search Strategy

This systematic review and meta-analysis was conducted in accordance with the PRISMA guidelines.[22] Medline, Cochrane, EMBASE, and Google Scholar were searched from inception to January 28, 2015, using combinations of the following keywords: IDH mutation, brain tumor, glioma, glioblastoma, oligodendroglioma, prognosis. Reference lists of relevant studies were hand-searched. Meta-analyses do not involve humans and do not require Institutional Review Board approval.[23]

Study Selection and Data Extraction

Inclusion criteria were as follows: randomized controlled trials (RCTs) and prospective and retrospective studies; patients with a malignant brain tumor (glioma, glioblastoma, anaplastic oligodendroglioma, etc); provided IDH mutation data; and contained survival analysis data. Letters, comments, editorials, case reports, proceedings, and personal communications were excluded, as were studies in which no survival analysis was performed. Studies were identified by the search strategy by 2 independent reviewers. When there was uncertainty regarding eligibility, a third reviewer was consulted. The following information/data were extracted from studies that met the inclusion criteria: the name of the first author, year of publication, study design, number of participants in each group, participants’ age and sex, diagnostic criteria, tumor type and World Health Organization (WHO) grade, treatments, and survival data.

Quality Assessment

The quality of the included studies was assessed using the modified 18-items Delphi checklist, which is designed for assessing the quality of single-arm clinical studies.[24] The quality assessment was also performed by 2 independent reviewers, and a third reviewer was consulted for any uncertainties.

Outcome Measures and Data Analysis

Overall survival and PFS were used to evaluate the association of IDH1 and IDH1/2 mutations, and prognosis for patients with malignant brain tumors. Hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) for OS and PFS were calculated and compared between patients with and without mutations. Pooled HRs and 95% CIs were calculated for all studies combined, and for given subgroups (e.g., IDH mutation type or surgery vs no surgery). A HR value <1 indicates that mutations may prolong OS or PFS, whereas a HR value >1 indicates the absence of mutations may decrease OS or PFS. A HR value equal to 1 indicates there was no significant association of IDH1 or IDH1/2 mutations with OS or PFS. Heterogeneity among the studies was evaluated by the Cochran Q and the I2 statistic. A Q statistic, with a P < 0.10, was considered to indicate statistically significant heterogeneity. The I2 statistic indicates the percentage of the observed between-study variability due to heterogeneity rather than chance, and a value >50% was considered to indicate significant heterogeneity. Random-effects models (DerSimonian–Laird method) were used if heterogeneity was detected (I2 > 50% or Q statistics P < 0.1). Otherwise, fixed-effects models (Mantel–Haenszel method) were utilized. Sensitivity analysis was performed using the leave-one-out approach. Publication bias was assessed by constructing funnel plots and by Egger test. The absence of publication bias was indicated by the data points forming a symmetric funnel-shaped distribution, and a 1-tailed significance level of P > 0.05 (Egger test). All statistical assessments were 2-sided, and a value of P < 0.05 was considered as statistically significant. Statistical analyses were performed using the statistical software Comprehensive Meta-Analysis, version 2.0 (Biostat, Englewood, NJ).

RESULTS

Search Results and Study Characteristics

A flow diagram of study selection is shown in Figure 1. A total of 165 studies were identified in the database search. After a review of the abstracts, 136 studies were excluded because they did not match the topic of the current analysis. Thus, 29 full-text articles were assessed for eligibility, and of these, 5 were excluded as they did not provide a quantitative outcome. Therefore, 24 studies were included in the qualitative synthesis.[3,13,16-18,21,25-42] The characteristics and populations of the included studies are summarized in Table 1 , and OS and PFS data are summarized in Table 2. Studies that reported median OS or PFS time were not considered for the analysis because most of the included studies were presented as HR. The study by Mukasa et al[21] was not included in the analysis because the HRs were reported by tumor stage.
FIGURE 1

Flow diagram of study selection.

TABLE 1

Study Characteristics

TABLE 1 (Continued)

Study Characteristics

Flow diagram of study selection. Study Characteristics Study Characteristics Overall Survival and Progression-free Survival in Patients With and Without IDH1/IDH2 Mutations

Association of IDH1 or IDH2 Mutations With OS

A total of 15 studies with completed data of OS were included in the analysis.[3,13,16,18,25-29,32-34,36,37,42] Significant heterogeneity was noted (I2 = 59.23%, Q statistic = 34.336, P = 0.002); therefore a random-effects model was used. The pooled HR of 0.358 (95% CI 0.264–0.487, P < 0.001) indicated that IDH1 or IDH1/2 mutations were associated with better OS (Figure 2). When patients were stratified by surgery versus no surgery or IDH1 versus IDH1/2 mutations, the results also indicated that the presence of IDH mutations was associated with better OS.
FIGURE 2

Meta-analysis for the association of IDH1/IDH2 mutations versus overall survival (OS). 1st AU = first author, 95% CI = 95% confidence interval, HR = hazard ratio, IDH = isocitrate dehydrogenase, lower limit, upper limit of HR.

Meta-analysis for the association of IDH1/IDH2 mutations versus overall survival (OS). 1st AU = first author, 95% CI = 95% confidence interval, HR = hazard ratio, IDH = isocitrate dehydrogenase, lower limit, upper limit of HR.

Association of IDH1 or IDH2 Mutations With PFS

A total of 10 studies with completed data of PFS were included in the analysis.[13,16,25-29,32,36,37] Significant heterogeneity was noted (I2 = 53.53%, Q statistic = 19.369, P = 0.022); therefore a random-effects model was used. The pooled HR of 0.322 (95% CI 0.242–0.455, P < 0.001) indicated that IDH1 or IDH1/2 mutations were associated with better PFS (Figure 3). When patients were stratified by surgery versus no surgery or IDH1 versus IDH1/2 mutations, the results also indicated that the presence of IDH mutations was associated with better PFS.
FIGURE 3

Meta-analysis for the association of IDH1/IDH2 mutations versus progression-free survival (PFS). 1st AU = first author, 95% CI = 95% confidence interval, HR = hazard ratio, lower limit, upper limit of HR.

Meta-analysis for the association of IDH1/IDH2 mutations versus progression-free survival (PFS). 1st AU = first author, 95% CI = 95% confidence interval, HR = hazard ratio, lower limit, upper limit of HR.

Sensitivity Analysis

Results of the sensitivity analysis using the leave-one-out approach for OS and PFS are shown in Figure 4. For both OS and PFS, the pooled estimates with each of the studies removed in turn remained statistically significant, indicating that the meta-analysis had good reliability for both measures (HRs for OS: range 0.33–0.38, all P values <0.001; HRs for PFS, range 0.31–0.37, all P values <0.001).
FIGURE 4

Sensitivity analysis using the leave-one-out approach for (A) overall survival (OS) and (B) progression-free survival (PFS). 1st AU = first author, 95% CI = 95% confidence interval, HR = hazard ratio, IDH = isocitrate dehydrogenase, lower limit, upper limit of HR.

Sensitivity analysis using the leave-one-out approach for (A) overall survival (OS) and (B) progression-free survival (PFS). 1st AU = first author, 95% CI = 95% confidence interval, HR = hazard ratio, IDH = isocitrate dehydrogenase, lower limit, upper limit of HR.

Publication Bias Analysis

Results of the evaluation of publication bias for OS and PFS are shown in Figure 5. For both measures, the funnel plots were symmetric (both P < 0.001; classic fail-safe test). However, Egger test indicated that the intercepts of the funnel plots did not obtain statistical significance (OS: 1-tailed, P = 0.037; PFS: 1-tailed, P = 0.075, respectively). Hence, publication bias may exist with respect to OS.
FIGURE 5

Evaluation of publication bias by funnel plot and the Egger test for (A) overall survival (OS) and (B) progression-free survival (PFS).

Evaluation of publication bias by funnel plot and the Egger test for (A) overall survival (OS) and (B) progression-free survival (PFS).

Quality Assessment

Results of the quality assessment using the modified 18-item Delphi checklist are shown in Table 3. All of the included studies clearly stated the aim of the study in the abstract or introduction, and described the characteristics of the included participants. The eligibility criteria of all the studies were explicit and appropriate, and outcome measures were all well-defined. The final total Delphi checklist scores of the studies ranged from 9 to 15 (maximum possible score of 18). Overall, the results indicate the studies are of good quality.
TABLE 2

Overall Survival and Progression-free Survival in Patients With and Without IDH1/IDH2 Mutations

Quality Assessment Results

DISCUSSION

The purpose of this meta-analysis was to evaluate the prognostic value of IDH1/2 mutations with respect to OS and PFS in patients with glioblastoma. The results showed that the presence of IDH1/2 mutations was associated with longer OS and PFS, and this result was seen in both patients treated with surgery and those treated nonsurgically (e.g., radiotherapy), as well as in patients with IDH1 and IDH1/2 mutations. IDH1 mutations have been reported in secondary GBM, diffuse astrocytoma, oligodendrogliomas, anaplastic astrocytomas, anaplastic oligodendrogliomas, and anaplastic oligoastrocytomas, and rarely in primary GBM, and have not been reported in pilocytic astrocytomas, ependymonmas, and medulloblastomas.[43] Mutations have also been reported in other cancers including acute myeloid leukemia and colorectal and prostate cancer.[43] Prior studies have found that IDH1/2 mutations may influence the prognosis of patients with secondary or greater than grade II gliomas; however, these studies have differed in design and the results have not always been consistent.[16-21,44] Evidence has generally shown that IDH1 mutations are associated with improved OS and PFS, particularly in patients with high-grade gliomas.[9,13,27] The prognostic value in low-grade gliomas is, however, less clear. For example, Sanson et al[19] showed that the IDH1 mutation had a significant prognostic value for OS in gliomas, whereas Kim et al[18] reported the IDH1/IDH2 mutation was of no prognostic value in 360 low-grade gliomas. Interestingly, although IDH1 mutations have generally been shown to be a prognostic indicator, their presence is not necessarily predictive of response to therapy.[9,13,19,40] Reasons for these findings may have to do with the association of IDH1 mutations with O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status.[42] For example, Molenaar et al[45] reported that the combination of IDH1 mutations and MGMT methylation status predicted survival in patients with glioblastomas better than either IDH1 or MGMT status alone. Though the reasons for the associations between survival, and IDH1 and MGMT methylation status remain to be determined, it has been suggested there may be mechanistic link between IDH1 mutations and MGMT methylation.[46] Prior studies have suggested that chemoradiotherapy may be effective for a subset of patients with gliomas, as the addition of procarbazine, lomustine, and vincristine (PCV) chemotherapy to radiotherapy conferred a significant increase in OS and PFS.[47,48] Among the studies included in the current analysis, Okita et al[28] suggested IDH1/2 mutations were predictive for response to chemoradiotherapy, but not radiotherapy alone in patients with grade II gliomas. However, van den Bent et al[13] reported that IDH1 mutations were predictive of both OS and PFS for patients treated with radiotherapy and radiotherapy/PVC. It has also been reported that patients with low-grade gliomas were sensitive to temozolomide.[17] In the current meta-analysis, we did not evaluate the predictive value of IDH1/2 mutations with respect to radiotherapy, chemotherapy, or chemoradiotherapy. This was due to the heterogeneity across the studies, and because few studies directly evaluated this question. Other prior meta-analyses have evaluated the association of IDH mutations and survival in patients with glioblastomas. An analysis by Cheng et al[49] included 9 studies with a total of 1669 patients with glioblastomas, and, similar to our results, found that IDH1 mutations were associated with improved OS. Zou et al[50] performed a meta-analysis including 12 studies with a total of 2190 patients, and reported HRs for OS and PFS in patients with IDH mutations were 0.33 (95% CI 0.25–0.42) and 0.38 (95% CI 0.21–0.68), respectively, as compared with glioma patients with the wild-type IDH gene. Subgroup analyses based on tumor grade also showed that the presence of IDH mutations was associated with better outcomes. There are several limitations to this analysis that should be considered when interpreting the results. We did not evaluate whether the histological subtype or tumor grade influenced the association of IDH1/2 mutations with the survival outcomes of patients with secondary GBM. As mentioned above, we also did not evaluate whether the type of treatment regimen influenced the prognostic value of IDH1/2 mutations of patients with secondary GBM. Furthermore, significant heterogeneity was present among the studies for both OS and PFS with respect to tumor type and grade, treatments, method for calculating endpoints, and method for determining the presence of mutations. Publication bias may be present as well, for those studies without significance might not be submitted or published.

CONCLUSIONS

In summary, the results of this meta-analysis indicate that IDH1/2 mutations are associated with improved survival in patients with glioblastomas.
TABLE 3

Quality Assessment Results

  49 in total

1.  IDH1 mutation is associated with improved overall survival in patients with glioblastoma: a meta-analysis.

Authors:  Hong-Bin Cheng; Wu Yue; Chen Xie; Ru-You Zhang; Shao-Shan Hu; Zhi Wang
Journal:  Tumour Biol       Date:  2013-08-01

2.  The human PICD gene encodes a cytoplasmic and peroxisomal NADP(+)-dependent isocitrate dehydrogenase.

Authors:  B V Geisbrecht; S J Gould
Journal:  J Biol Chem       Date:  1999-10-22       Impact factor: 5.157

3.  Outcome and molecular characteristics of adolescent and young adult patients with newly diagnosed primary glioblastoma: a study of the Society of Austrian Neurooncology (SANO).

Authors:  Annette Leibetseder; Michael Ackerl; Birgit Flechl; Adelheid Wöhrer; Georg Widhalm; Karin Dieckmann; Sabine-Spiegl Kreinecker; Josef Pichler; Johannes Hainfellner; Matthias Preusser; Christine Marosi
Journal:  Neuro Oncol       Date:  2012-12-07       Impact factor: 12.300

4.  Phase III trial of chemoradiotherapy for anaplastic oligodendroglioma: long-term results of RTOG 9402.

Authors:  Gregory Cairncross; Meihua Wang; Edward Shaw; Robert Jenkins; David Brachman; Jan Buckner; Karen Fink; Luis Souhami; Normand Laperriere; Walter Curran; Minesh Mehta
Journal:  J Clin Oncol       Date:  2012-10-15       Impact factor: 44.544

Review 5.  The definition of primary and secondary glioblastoma.

Authors:  Hiroko Ohgaki; Paul Kleihues
Journal:  Clin Cancer Res       Date:  2012-12-03       Impact factor: 12.531

6.  Molecular classification of low-grade diffuse gliomas.

Authors:  Young-Ho Kim; Sumihito Nobusawa; Michel Mittelbronn; Werner Paulus; Benjamin Brokinkel; Kathy Keyvani; Ulrich Sure; Karsten Wrede; Yoichi Nakazato; Yuko Tanaka; Anne Vital; Luigi Mariani; Robert Stawski; Takuya Watanabe; Umberto De Girolami; Paul Kleihues; Hiroko Ohgaki
Journal:  Am J Pathol       Date:  2010-11-12       Impact factor: 5.770

7.  IDH1/2 mutation is a prognostic marker for survival and predicts response to chemotherapy for grade II gliomas concomitantly treated with radiation therapy.

Authors:  Yoshiko Okita; Yoshitaka Narita; Yasuji Miyakita; Makoto Ohno; Yuko Matsushita; Shintaro Fukushima; Minako Sumi; Koichi Ichimura; Takamasa Kayama; Soichiro Shibui
Journal:  Int J Oncol       Date:  2012-07-20       Impact factor: 5.884

8.  The prognostic value of IDH mutations and MGMT promoter status in secondary high-grade gliomas.

Authors:  T A Juratli; M Kirsch; K Geiger; B Klink; E Leipnitz; T Pinzer; S Soucek; E Schrock; E Schrok; G Schackert; D Krex
Journal:  J Neurooncol       Date:  2012-09-27       Impact factor: 4.506

9.  IDH1 and IDH2 mutations in gliomas.

Authors:  Hai Yan; D Williams Parsons; Genglin Jin; Roger McLendon; B Ahmed Rasheed; Weishi Yuan; Ivan Kos; Ines Batinic-Haberle; Siân Jones; Gregory J Riggins; Henry Friedman; Allan Friedman; David Reardon; James Herndon; Kenneth W Kinzler; Victor E Velculescu; Bert Vogelstein; Darell D Bigner
Journal:  N Engl J Med       Date:  2009-02-19       Impact factor: 176.079

10.  Secondary glioblastomas with IDH1/2 mutations have longer glioma history from preceding lower-grade gliomas.

Authors:  Makoto Ohno; Yoshitaka Narita; Yasuji Miyakita; Yuko Matsushita; Akihiko Yoshida; Shintaro Fukushima; Koichi Ichimura; Soichiro Shibui
Journal:  Brain Tumor Pathol       Date:  2013-03-14       Impact factor: 3.154

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Authors:  Marta Lopes; Bruno Carvalho; Rui Vaz; Paulo Linhares
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Review 2.  Older studies can underestimate prognosis of glioblastoma biomarker in meta-analyses: a meta-epidemiological study for study-level effect in the current literature.

Authors:  Victor M Lu; Kevin Phan; Julia X M Yin; Kerrie L McDonald
Journal:  J Neurooncol       Date:  2018-05-16       Impact factor: 4.130

3.  The effects of ephrinB2 signaling on proliferation and invasion in glioblastoma multiforme.

Authors:  Shilpa Bhatia; Sanjana Bukkapatnam; Benjamin Van Court; Andy Phan; Ayman Oweida; Jacob Gadwa; Adam C Mueller; Miles Piper; Laurel Darragh; Diemmy Nguyen; Ahmed Gilani; Michael Knitz; Thomas Bickett; Adam Green; Sujatha Venkataraman; Rajeev Vibhakar; Diana Cittelly; Sana D Karam
Journal:  Mol Carcinog       Date:  2020-06-22       Impact factor: 4.784

Review 4.  Covalent nano delivery systems for selective imaging and treatment of brain tumors.

Authors:  Julia Y Ljubimova; Tao Sun; Leila Mashouf; Alexander V Ljubimov; Liron L Israel; Vladimir A Ljubimov; Vida Falahatian; Eggehard Holler
Journal:  Adv Drug Deliv Rev       Date:  2017-06-10       Impact factor: 15.470

5.  Metabolic characterization of human IDH mutant and wild type gliomas using simultaneous pH- and oxygen-sensitive molecular MRI.

Authors:  Jingwen Yao; Ararat Chakhoyan; David A Nathanson; William H Yong; Noriko Salamon; Catalina Raymond; Sergey Mareninov; Albert Lai; Phioanh L Nghiemphu; Robert M Prins; Whitney B Pope; Richard G Everson; Linda M Liau; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  Neuro Oncol       Date:  2019-09-06       Impact factor: 12.300

6.  MED12 is overexpressed in glioblastoma patients and serves as an oncogene by targeting the VDR/BCL6/p53 axis.

Authors:  Srishti Srivastava; Hima Makala; Vikas Sharma; Vaishali Suri; Chitra Sarkar; Ritu Kulshreshtha
Journal:  Cell Mol Life Sci       Date:  2022-01-29       Impact factor: 9.261

7.  Long-term Survival in a Patient with Butterfly Glioblastoma: A Case Report.

Authors:  Megan Finneran; Dario A Marotta; Dana Altenburger; Emilio Nardone
Journal:  Cureus       Date:  2020-02-07

Review 8.  Bridging Cancer Biology with the Clinic: Comprehending and Exploiting IDH Gene Mutations in Gliomas.

Authors:  Ourania Romanidou; Vassiliki Kotoula; George Fountzilas
Journal:  Cancer Genomics Proteomics       Date:  2018 Sep-Oct       Impact factor: 3.395

9.  Epitope Preservation Methods for Tissue Microarrays: Longitudinal Prospective Study.

Authors:  Nicole K Andeen; Regina Bowman; Toni Baullinger; J Mathew Brooks; Maria S Tretiakova
Journal:  Am J Clin Pathol       Date:  2017-11-02       Impact factor: 2.493

10.  Comparison of neutrophil to lymphocyte ratio and prognostic nutritional index with other clinical and molecular biomarkers for prediction of glioblastoma multiforme outcome.

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Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

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