Literature DB >> 28484518

Importance of biomarkers in glioblastomas patients receiving local BCNU wafer chemotherapy.

Steffi Urbschat1, Christoph Sippl1, Jana Engelhardt1, Kai Kammers2, Joachim Oertel1, Ralf Ketter1.   

Abstract

BACKGROUND: To assess the influence of molecular markers with potential prognostic value to groups of patients with newly diagnosed glioblastoma patients were examined: group A with 36 patients (surgical resection plus standard combined chemoradiotherapy) and group B with 36 patients (surgical resection, standard combined chemoradiotherapy plus carmustine wafer implantation). Our aim was to determine chromosomal alterations, methylation status of MGMT, p15, and p16 (CDKN2A) in order to analyse the influence on patient survival time as well as radio- and chemotherapy responses. Promoter hypermethylation of MGMT, p16, and p15 genes were determined by MS-PCR. Comparative genomic hybridisation (CGH) analyses were performed with isolated, labelled DNA of each tumor to detect genetic alterations.
RESULTS: Age of onset of the disease showed a significant effect on overall survival (OS) (p < 0.0001). Additional treatment with carmustine wafer (group B) compared to the control group (group A) did not result in improved OS (p = 0.562). Patients with a methylated MGMT promotor showed a significant longer OS compared to those patients with unmethylated MGMT promotor (p = 0.041). Subgroup analyses revealed that patients with methylated p15 showed a significant shorter OS when administered to group B rather than in group A (p = 0.0332). In patients additionally treated with carmustine wafer an amplification of 4q12 showed a significant impact on a reduced OS (p = 0.00835). In group B, a loss of 13q was significantly associated with a longer OS (p = 0.0364). If a loss of chromosome 10 occurred, patients in group B showed a significantly longer OS (p = 0.0123).
CONCLUSION: A clinical benefit for the widespread use of additional carmustine wafer implantation could not be found. However, carmustine wafer implantation shows a significantly improved overall survival if parts of chromosome 10 or chromosome 13 are deleted. In cases of 4q12 amplification and in cases of a methylated p15 promotor, the use of carmustine wafers is especially not recommended. The MGMT promoter methylation is a strong prognostic Biomarker for benefit from temozolomide and BCNU chemotherapy.

Entities:  

Keywords:  CGH; Carmustin wafer; Glioblastoma; Prognostic factors; Standard combined radiochemotherapy

Year:  2017        PMID: 28484518      PMCID: PMC5418867          DOI: 10.1186/s13039-017-0317-5

Source DB:  PubMed          Journal:  Mol Cytogenet        ISSN: 1755-8166            Impact factor:   2.009


Background

Glioblastoma multiforme (GBM) is the most aggressive and most common form of primary brain cancer [1]. At an incidence of 3 to 4 in 100,000 and a slight male predominance of 1.2–1.9:1 it can strike all ages [2-4]. The gold standard treatment for GBM is a grand total resection combined with radiochemotherapy consisting of 60 Gy radiation and temozolomide (TMZ) according to Stupp et al. [5]. Another option in the treatment of GBM is, in addition to the Stupp-regime, the implantation of carmustin (BCNU) eluted wafer into the resection cave. Hence a higher concentration of anti-neoplastic agents can be released to the tissue adjacent to the tumor. This strategy minimizes the systemic effects and maximizes the anti-neoplastic effect by bypassing the blood brain barrier [6]. Despite this theoretical advantage, the clinical benefit remains in dispute. Some authors showed a benefit regarding overall survival (OS) when carmustin wafers were implanted postresectionally [7, 8]. In contrast Pallud et al. could not show a long-term benefit in (OS) at a cohort of 354 patients [9]. However, some adverse effects like cerebral edema and postoperative wound infection can be increased [10]. Therefore, it would be eligible to predict the response characteristics of a carmustin wafer therapy. Whether carmustine wafer implantation is recommendable or not could depend on patients’ individual (genetic) characteristics. A marker, which is known to predict chemotherapy response in GBM, is the promotor methylation status of O6-methyl-guanine-methyl transferase (MGMT), a DNA repair enzyme. This protein repairs alkylating DNA damage induced by TMZ in tumor cells and hereby promotes tumor progression of GBM [11]. Several clinical studies showed that low MGMT expression was significantly related to ameliorated TMZ therapy response [12-19]. Carmustine as the active drug in carmustine wafer is also a DNA alkylating agent, which can be counteracted by MGMT [20]. Another potential marker for the clinical course of GBM is a hypermethylation status of p15 that was shown to be associated with a shorter OS [21]. Furthermore, chromosomal alterations like gains on chromosome 7 and losses of parts of chromosome 10 and of/parts of the short arm of chromosome 9 are common phenomenon in glial tumors. Especially losses on chromosome 9p and 10q are often associated with a poor prognosis for patients with GBM [22]. Losses of chromosome 9 affects p16, a cell cycle controlling protein located on 9p21.3. The aim of this experimental trial was to find new markers for treatment response in GBM on genetic and also epigenetic levels and to investigate the effects of additional carmustine wafer therapy on known markers. In particular, we focused on genes regulating cell cycle, e.g., p15, p16, and the DNA repair enzyme MGMT. For further stratification and subgroup analyses, we also incorporated two different treatment modalities: one patient cohort treated according to Stupp et al. and the other patient cohort received carmustine wafer implantation after resection in addition the Stupp et al. regime [5].

Methods

Patients

In this trial, we enclosed 72 patients with newly diagnosed GBM who underwent surgery between 2005 and 2012 at the department of neurosurgery at the university medical center Homburg/Saar, divided into two matched pair groups with 36 patients each. After tumor resection one group was treated according to the standard Stupp regime (group A), whereas the other cohort was treated according to the standard Stupp regime with carmustine wafer implantation (group B). Tumor tissue was collected at the time of surgery, if clinically indicated. All tissue samples were frozen immediately after the tumor was resected using liquid nitrogen and stored in our tumor bank at −80 °C. This study was approved by the local ethic board of Saarland and written informed consent was obtained from all patients.

Methylation analysis

DNA isolation was performed using DNA isolation kit (Qiagen, QIAamp DNA Mini Kit 50). The methylation status of promoter regions of the genes p15, p16 and MGMT were determined by methylation specific polymerase chain reaction (MS-PCR). Therefore, 500 ng DNA of each tumor specimen, as well as appropriate control samples were bisulfite-treated (ZYMO RESEARCH, EZ DNA Methylation-Gold Kit 200) [23]. In summary, thus unmethylated cytosine is converted to uracil, whereas methylated cytosine remained unchanged. The modified DNA was recovered by ethanol precipitation and dissolved in water. For the analysis of the methylation status the primer sequences listed in Table 1 were used.
Table 1

Primer for MS-PCR

p15 [22]:(methylated, 148 bp, 60 °C)forward:5′-GCGTTCGTATTTTGCGGTT-3′reverse:5′-CGTACAATAACCGAACGACCGA-3′(unmethylated, 154 bp, 60 °C)forward:5′-TGTGATGTGTTTGTATTTTGTGGTT-3′reverse:5′-CCATACAATAACCAAACAACCAA-3′p16 [23]:(methylated 150 bp, 65 °C)forward:5′-TTATTAGAGGGTGGGGCGGATCGC-3′reverse:5′-GACCCCGAACCGCGACCGTAA-3′(unmethylated 151 bp, 65 °C)forward:5′-TTATTAGAGGGTGGGGTGGATTGT-3′reverse:5′-CAACCCCAAACCACAACCATAA-3′
MGMT [21]:(methylated, 122 bp, 54 °C)forward:5′-GTTTTTAGAACGTTTTGCGTTTCGAC-3′reverse:5′-CACCGTCCCGAAAAAAAACTCCG-3′(unmethylated, 129 bp, 56 °C)forward:5′-TGTGTTTTTAGAATGTTTTGTGTTTTGAT-3′reverse:5′-CTACCACCATCCCAAAAAAAAACTCCA-3′
Primer for MS-PCR PCR was performed with a 25 μl reaction volume and 38 PCR cycles. All PCR products were separated by electrophoresis on a 2% agarose gel. As methylated and unmethylated control we used Universal Methylated Human DNA (ZYMO RESEARCH). As blank value we added water in place of DNA [Fig. 1].
Fig. 1

Methylation specific PCR of MGMT promotor in GBMs. L = Molecular size marker; U = unmethylated DNA; M = methylated DNA; + = positive control; − = negative control; H2O = blank value; 1 = case 1442/08; 2 = case 1510/10; 3 = case 1219/19; 4 = case 288/08

Methylation specific PCR of MGMT promotor in GBMs. L = Molecular size marker; U = unmethylated DNA; M = methylated DNA; + = positive control; − = negative control; H2O = blank value; 1 = case 1442/08; 2 = case 1510/10; 3 = case 1219/19; 4 = case 288/08

CGH analysis

Comparative genomic hybridisation (CGH) was used to screen the tumors for chromosomal imbalances. Metaphasic preparation was acquired via short term lymphocytic culture. CGH was performed as described previously [24].

Statistics

Comparisons of survival times between groups defined by clinical variables, methylation status and parts of chromosome deletions were performed by Kaplan-Meier curves and with two-sided log rank tests. Methylation index was defined as percentage of patients with promotor methylation of the total cohort in percent. Univariate Cox regression [25] analysis was performed to identify significant predictors for overall survival (OS). Effects of individual predictors on OS in all models were quantified by estimated hazard ratios (HR) estimates with corresponding 95% confidence intervals.

Results

Clinical data

Overall median survival was 267 days (95% CI = [176, 372]) with 309 days in group A (95% CI = [138, 481]) and 219 days in group B (95% CI = [151, 372]). Univariate Cox models of clinical covariates revealed that age of onset of the disease had a statistically significant effect on OS (HR = 1.048, 95% CI = [1.024, 1.072], p < 0.0001). The average age of onset was 60.1 years in group A and 60.2 years in group B. Gender did not show a significant effect on OS (HR =1.19, 95% CI = [0.715–1.977], p = 0.504) (see Table 2).
Table 2

Clinical, epigenetic and CGH results (univariates Coxmodel)

HR1/HRlover.95upper.95 p value
Clinical data
groupe1.15610.86490.70791.8880 p = 0.5620
age1.04790.95421.02421.0721 p = 0.6081
gender1.18890.84100.71511.9767 p = 0.5046
Methylation
MGMT0.59291.68660.35900.9789 p = 0.041
p150.78831.26840.40651.5287 p = 0.4816
p161.57240.63590.67353.6711 p = 0.2954
Comparative genetic hybridization [CGH)
1q2.16840.46110.66837.0355 p = 0.1974
amp4q122.30500.43381.18154.4965 p = 0.01431
71.55790.64180.75913.1973 p = 0.2267
amp7p121.47660.67710.81322.6813 p = 0.2002
9p1.08120.92480.66331.7626 p = 0.7538
101.06920.93520.65361.7490 p = 0.7897
10q0.83691.19480.49451.4162 p = 0.5071
12q1.00970.99030.56591.8015 p = 0.9737
130.68531.45910.41691.1264 p = 0.1361
171.00810.99190.57041.7816 p = 0.9778
201.47140.67960.83802.5835 p = 0.1787
221.05700.94590.59081.8912 p = 0.8515
Clinical, epigenetic and CGH results (univariates Coxmodel) A statistically significant effect of additional treatment with carmustine wafer (group B) in comparison to the standard Stupp regime (group A) on OS could not be detected (HR = 1.15, 95% CI = [0.708, 1.888], p = 0.562) [Fig. 2].
Fig. 2

OS in group A (standard Stupp regime) and group B (standard Stupp regime + carmustine wafer)

OS in group A (standard Stupp regime) and group B (standard Stupp regime + carmustine wafer) We found a MGMT methylation index (MI) of 58% (21/36) in group A and a methylation index of 42% (15/36) in group B. At the p15 promotor we found a MI of 14% (5/36) in group A and 25% (9/36) in group B, respectively. The methylation index in p16 showed 8% (3/36) in both groups. Patients with an unmethylated MGMT showed a median OS of 6.6 months. If MGMT was methylated the median OS was 10.7 months. A univariate Cox model with MGMT as predictor results in MGMT has a statistically significant effect on OS (HR = 0.593, 95% CI = 0.359 – 0.979, p = 0.041). If stratified for treatment group there was neither in group A nor in group B a significant correlation between OS and MGMT methylation (group A: p = 0.0635, group B: p = 0.319) [Fig. 3a/b].
Fig. 3

a OS depending on MGMT methylation status. Green: no methylation of MGMT promoter. Red: methylation of MGMT promoter. b: OS in group A and B depending on MGMT methylation status. 0: no methylation of MGMT promoter. 1: methylation of MGMT promoter

a OS depending on MGMT methylation status. Green: no methylation of MGMT promoter. Red: methylation of MGMT promoter. b: OS in group A and B depending on MGMT methylation status. 0: no methylation of MGMT promoter. 1: methylation of MGMT promoter Subgroup analyses revealed that patients with a p15 methylation showed a significant shorter OS when administered to group B (median OS: 115 days) than in group A (median OS: 481 days) (p = 0.0332). A promotor methylation of p16 had no significant impact on any group [Fig. 4].
Fig. 4

OS in group A and B depending on p15 methylation status. Green: group A (Stupp regime). Red: group B (Stupp regime + carmustine wafer)

OS in group A and B depending on p15 methylation status. Green: group A (Stupp regime). Red: group B (Stupp regime + carmustine wafer) Within the whole population in this study (N = 72) 3 patients showed an OS longer than 36 months, 2 of them were in group B, one in group A. All three cases showed a methylated MGMT promotor whereas p15 and p16 were not methylated.

CGH

In total, each tumor showed on average 11 aberrations and a total number of 754 aberrations could be detected. The distribution of alterations in both groups showed in general no differences [Fig. 5 a/b]. We found different chromosomal alterations in all the analyzed tumor specimens. One of the most frequent alterations were gains on chromosome 7 in 85% (61/72), chromosome 16 in 33% (24/72), chromosome 4 in 22% (16/72), chromosome 5 in 21% (15/72), chromosome 12 in 19% (14/72) and chromosome 20 in 22% (16/72).
Fig. 5

a Overview of genetic imbalances of the Carmustin-group. Lines on the left represent losses, and lines on the right represent gains; amplifications are in bold. b: Overview of genetic imbalances of the conventionally treated-group. Lines on the left represent losses, and lines on the right represent gains; amplifications are in bold

a Overview of genetic imbalances of the Carmustin-group. Lines on the left represent losses, and lines on the right represent gains; amplifications are in bold. b: Overview of genetic imbalances of the conventionally treated-group. Lines on the left represent losses, and lines on the right represent gains; amplifications are in bold In contrast losses were prevalently detected on the short arm of chromosome 9 in 47% (34/72), chromosome 10 in 67% (48/72), the long arm of chromosome 13 in 47% (34/72), on chromosome 6 in 25% (18/72), on the long arm of chromosome 22 in 22% (16/72), of the long arm of chromosome 4 in 19% (14/72) and on the long arm of chromosome 17 in 18% (13/72) [Fig. 5 a/b]. We also found amplifications at 4q12 in 15% (11/72), at 7p12 in 19% (14/72) and in the region of 12q in 4% (3/72). In one case an amplification of 6q21 and in another case of 8p23.1pter were found (Tables 3, 4 and 5).
Table 3

Clinical chacteristics and CGH results of the Carmustin group

CasesHistologyAges/genderCGH - results
2065/08pGBM80/f+X, +7, −9p, −10, −14q24qter, −17p12pter, −22q11.2q13.2
270/10pGBM80/m−4, −6, +7, −8q21.1qter, +9q12q34.1, −10, −11p14pter, −16, −17q, −18p11.2pter, +19, +20, +21
1526/07pGBM75/m-X, +1p33pter, −1p11p22.1, amp4q12, +6p12p21.3, +7, −9p13pter, −10, +11q23.3q25, +15q11.2q14, +16p, +17p12pter, +20q12q13.2
220/10pGBM72/f+X, −6q25.3qter, +7p, amp7p12, +7q11.1q31.1, −9p23pter, −10, −11p15.3pter, −13q33qter, +17, −18q22qter, +21, −22
479/09pGBM69/f+5q23.3q32, +7q21.1q36
740/10pGBM69/f−2p16p21, −3p24.1pter, −3p12p13, −3q24qter, −4q13.3q33, +7q11.2, −9p21p23, −11p14p15.3, −15q21.3q25, −16q13q22, +17, −18q12.3q22
1442/08pGBM52/f+4q13.1q32, +7q, -10, +12q13.3.q15, −19, −22
1578/10pGBM52/f+1q, +4p15.3pter, +5q12q14, −6q23.1qter, +6p22.3pter, +7, −8p11.1p12, −8q12q21.3, −9p21pter, −10, +11p14p15.3, −12q24.1qter, +15q11.1q15, +17p12p13, −17q25qter, +19p13.3pter, +19q, +20, +21, +22q11.1q13.1
1966/11pGBM40/f-X, +3q21q24, amp7p12, +7q22qter, −17q25qter, +22q12.1q13.1
2404/11pGBM75/m−2p23pter, −4p15.3p16, +7, +9p21p23, −10p13pter, −10q, +12q13.1q21.2, amp12q14, −12q24.3qter, −16p11.2p13.2, −19q13.3qter, −22q12.1q13.1
1210/09pGBM71/m−4q28q32, −8p21.1pter, −9p21pter, −11p, −13, −15q12q21.3, −15q26.1qter, +16q11.2q21, −18p, −18q12.1qter, +19p, −20
1510/10pGBM69/m+1p32.3p36.1, −3p24.1pter, +3q26.1q26.3, +4q24q34, −5p14pter, +5q31.1q32, +6q16.1q22.3, amp6q21, −6q27, +7, −9p22pter, −10, −11p, −11q14.1qter, +12q12q23, amp12q14q15, −13q23qter, −15q25qter, −16p12p13.1, +16q21q22, −18p, −18q23qter, +19q13.3, +20q11.2q12.3, +21, +22
1370/07pGBM63/m+1p11p22.1, +2p11.1p33, +7, amp 7p12, −3p21.3p25, −9p13p23, −9q31qter, −10, −17, −19p13.2pter, −20q13.1q13.2, −21q22.1q22.2, −22q13.1qter
1663/07pGBM58/m-X, +1p34.1pter, −1p21p31.1, −2q24.1q32.3, −4p11p15.1, −4q11q28, −5q21q22, +5q32qter, −6q11q21, +7, +8q24.1qter, −9p21pter, −10, −12p11.2p12.3, −12q11q12, +12q15q22, −13q14.3q31, −14q12q21, +17, +20q, +22
1219/09pGBM58/m−1p13.1p13.2, −6q22.2q24, +7, amp7p12, +11q14.3q22.3, −12q24.3qter, +18q21.3q22, −19p13.2pter, +21p11.2p21
1809/11pGBM55/m−1p26.1pter, +3p12p22, amp4q12, +5p14pter, +5q11.2q21,-6p22.3pter, +6q22.2qter, +7, +8p11.2p21.1, +8q11.2, +8q22.3q23, −9p, +9q21.3q22.3, −9q34.1qter, −10p11.1p12.3, −10q, +11p14p15.3, +11q13.2q14.3, +12q12q23, −13q11q32,-14q22qter, −15
1362/07pGBM52/m−1p34.3pter, −5q12q14, +7, −9p11p22, −10, +18q21.3qter, +19p
288/08pGBM52/mamp7p12, +7q31.3q35, +9q21.2q32, −10, −11q12q13.2,-13q12.3q31, −17q11.1q21.1
1350/06sGBM46/m+1q12q23, amp4q12, +4q12q22, +8q23qter, −1p21p36.1,-4q28qter, −6q, −13q14.3q33, −18q12.3q23, −19q13.1q13.3,-22q12.3qter
1455/08pGBM46/m+4p14p15.1, amp4q12, +7p, +8p21.2p22, +11q14.1q22.3
768/09pGBM44/m−6q25.1qter, +7q21.2q32, +12q13.2q21.1, −18p, −19
P.E.pGBM44/m+1q43qter, +2p11.1p13, +2q13q22, +2q37.1qter, +3p13p33, +4p15.3pter, +5p14pter, +5q31.1qter, +6q23.1q22.3, +7, +9q22.3q31, −10q22.1q22.3, +11q23.3, +12q15q21.3, −13, +16q23q24, +17q12q24, +18q22
1741/08pGBM54/f−9p21pter, −10, −17q, +18q12.3q22
1701/07pGBM67/mamp 4q12, +7, +17q, −4q21.3q34, −5, −10, −11q12q21,-13q14.1qter, −17p, −19p11pter
1935/08pGBM70/mamp4q12, +7q11q21.3, −9p21pter, −10, −18q22qter, −20p11.2pter
1618/09pGBM54/f−2q24.1q34, −3p11.1p14.1, −3q11.1q13.1, −4q24q26, −5p11p12,-6p11p12, amp7p12, +7q34qter, −10q11.1q21.1, +10q26.2qter,-13q14.1q31, −14q12q22, +16p, +17q24qter, +19q, +22
A.W.pGBM75/m+3q24q27, +4p, +5p, amp5p13.1p14, +5q32, +7, amp7p12, −9p21pter, −10, −12q12q13.1, −13q21.3q33, +14q23qter, +15q21.1q24, +17p11.2p12, +19, +20, +21q11.2q21
1934/11pGBM69/f+X, +3q24q26.1, +4q13.1q32, +6q15q22.3, +7q21.1q32, −9q13q21.1, +11q14.1q22.3, +12q21.3q24.1, −16p, −17p, −19q13.2qter, −22
1381/06pGBM44/m-X, −Y, +1q32.2qter, −2p15p23, +2q11.1q21.3, −4q24q28, −6q21q22.3, +7p, +7q33qter, +8, amp 8p23.1pter, −10q22.1q25.1, −11p, +11q, −13q11q31, −14q22q31, −21q11.1q22.1, −22
1080/10pGBM73/m+X, −1p34.1pter, +4p14p16, +6q23.1q24, +7p, +8p22pter, −9q34qter, −10, +12p11.2p13.1, +16p11.2p12,-16q24qter, −17q, +18p11.2pter
725/12pGBM50/m-X, +1, +2, +3p13p25, +3q24, +4p, +4q26q34, +5p13.1p13.3, +5q14q15, +5q23.1q34, −6q, +7, +8p21.1pter, +8q23,-10q21.1q21.3, +11q14.1qter, −13q33qter, −14q24.2qter, +16p, +16q11.2q22, +18, +19, +20, +21
778/10pGBM70/m+1p36.1, −4q34qter, amp7p12, +7q11.1q22,-10p15pter,+12q24.3qter, −13q23.1qter, +17p11.1p11.2, +18p11.1p11.2, +19,+20q12q13.2
563/12pGBM60/m−7q36qter
904/11pGBM65/m-X, +1p36.1p36.3, −4p16, −9p23pter, +16p12p13.1
1346/06pGBM50/f−5q21q23.1, −8q23qter, −10q23.2qter, −15, −17
175/12pGBM45/m-X, +1p31.1p32.3,-2p11.2p13, +3q24q26.1, +4q31.3q34, +7, +8q23q24.1, +16q12.2qter, +16p12p13.2, −19q, +21q11.2q22.1
Table 4

Clinical characteristics and CGH results of the Controll group

CasesHistologyAges/genderCGH-results
1553/07pGBM82/f+2q12q33, +3p24.2p25, +3q22q24, amp4q12, +7, −9p13p24, −10, +11q13.2q14.1, −13q12.1q14.3,-15q21.3q23, +16p, +17p12pter, +18q23qter
1042/12pGBM83/f−2p23p24, −4p12p15.1, −4q21.2q22, amp7p12, +7q, −10, −13q14.1q21.1, −16q13q21, −18q12.3q22
1117/05pGBM71/m+3, +7, −9p21pter, −10, −13, −14, +16p11.2p13
139/10pGBM73/f+1p13.1p33, +1q21.1q31, +2, +3p12p14.1, +3p25pter, +3q13.1q21, +4q22q24, +5p14, +7, +8p23.1pter, +8q11.2qter, +9p23pter, +9q22.1q33, −10, +13q14.1q21.3, +14q12q21, −16p12p13.1, +16q23qter, −17p11.1p11.2, −18p11.2p11.3, −19, −22
1588/09pGBM70/f+X, +1p21p36.1, +3p14.1p24.1, −3q11.1q26.1, +5q23.2q32, +7, amp 7p12, −9p22pter, −10, +12q21.3q24.3, −17p11.1p11.2, +17q21.3q22, −18p11.1p11.3, +19, +20
1191/08pGBM68/f+1p36.1pter, −1q42.2q43, amp4q12, +7, −10, -13q14.1q21.3, +16q11.2q21, −17q12qter, +18p11.1p11.2
1355/08pGBM52/f-X, −1q31, +6q24q26, +7, −8p21.1pter, −9p22pter, −10, +11p15.1p15.4, +12q21.3qter, −13q12.2qter, +15q11.1q15, +16, −18, −19q13.2qter, +20p, +20q11.1q12, +21, −22q13.2qter
922/12pGBM54/m+1p13.1p13.3, +1q43qter, +2q12q14.1, -2q37.1qter, +4p13pter, +4q24q25, +5, +7, +8p12pter, +8q12q13, -10, +11p15.1pter, +11q13.1q23.3, -13q12.1q21.3, +16p12p13.1, +17p11.1p12, +19q13.1q13.2, +22
881/10pGBM40/f+1, +2p21pter, −5q14qter, −6q14q21, −9p24pter, −9q31q33, −10, −11p, −12q12q13.1, −12q24.1q24.3, -13q14.1q21.2, +16p11.2p13.1, +17q21.1qter, +22q11.2q12.3
1229/08pGBM72/m−1p31.2p36.1, −1q23q24, +3q26.1qter, amp4q12, +4q11q21.2, −4q33qter, −6q13q21, +7, −9p23p24, −10, −11q14.1qter, −13q14.1qter, −14q22q32.1, +16, +17p11.1p12, −22q13.1q13.2
375/10pGBM72/m+1p36.1pter, +2p21pter, −4p11p12, +6p12p21.3, −9p13p21, −13q21.1q31, +15q13q21.3, +17, +20q12qter
1988/09pGBM68/mamp7p12, −10p, +11q13.5q23.3, −12p, +20q31.1qter, +22q12.3q13.1
838/12sGBM70/m+7, −9p, −10, +19
926/09pGBM58/m−3q27qter, −6q26qter, +7, amp7p12, −8p23.1pter, −9p13pter, −10, −16p, +16q11.2q21, −18q21.3qter, +19, +20q12q13.2, −22q12.3qter
983/04pGBM54/m−3p24.3pter, −4q23q25, −6q16.3q21, −8q24.1qter, −10, −11q23.3qter, −13q22qter, −17q25qter
837/12pGBM54/f+7, −8p22pter, −9p13p24, −10, +17q21.2q22, +18q12.1q12.3, +19p
1078/09pGBM54/m+Xp, +Xq11.1q21.3, +1, −3p21.3pter, +3q13.2qter, −4p14pter, +4q28q34, +5p, +5q11.2q13.2, −5q33.1qter, +6p, +6q21qter, +7, +8, −9p23pter, +12p, +12q11q13.1, −13, −14q21qter, amp 14q11.2q12, +17, +19, −20, +21
776/05pGBM50/m+3p23p24.3, +5q23.3q31.1, +7p14p22
1861/03pGBM43/m+2p23p24, +2q22q34, +6q22.3q24, +7, −8p, −9p23pter, −10, amp12q13.12q21.3, +13, −15q12q14, +18q12.1q21.2, −22q11.2q13.1
1216/11pGBM50/m+7p11.1pter, amp7p12, −9p21pter, −10q21qter, +11q21q22.3, +12q13.1qter, −13q14.1q21.3, −22q13.3qter
1110/05pGBM41/m+7p
1457/03pGBM37/m−5q34qter, +8q21.3qter, +10p11.2pter, −12q24.1q24.3, −13q33qter, +18q12.2q21.1
378/12pGBM59/f+1q42.2qter, −4p11p13, −4q11q13.1, +5p14p15.2, -6q, +7, amp7p12, +8p22pter, −9p13pter, −10, −11p12p14, −13q14.3q33, +14q11.1q13, −16q23q24, −17p13pter, −18p11.1p11.3, +19q, +20, +21q11.1q22.1
1583/08pGBM68/f−2p23p24, −5q21q31.1, +5q33.1qter, −6q12q14, +7, +8p23.1pter, −8p11.1p12, −9q22.3qter, −10, −13q33qter, +16p11.2p13.1, +17p11.1p12, +19p13.1p13.3, +20, +21q11.2q22.1, −22q11.2qter
655/09pGBM71/f−6q12qter, +7, −9p21pter, −10, −12q21.3q23, −13q12.3qter, +20
291/09pGBM51/f+4p14, −6q26qter, +7p13pter, +18q11.1q21.1, +Xq21.2q27
156/12sGBM76/f-1p34.2pter, +5, +7, +9q13qter, −15q21.3qter, −16q11.2q13, −17q11.2q21.1
1286/08pGBM65/m+7, −10q25.1qter, +16p12
1458/10pGBM49/f+7q11.2, −13q12.3q14.1, −15q26.1qter
1431/05pGBM69/f−2p12p15, −2q37.1qter, −3p24.1pter, amp4q12, −5p15.3pter, +7, −9p13p23, −9q33qter, −10, −11p12p15.3, −12q24.1qter, −13q13q21.1, −16q23q24
T 6929pGBM50/m+1p21p31.2, +3q12q13.2, +3q25.3qter, −4p16pter, +6q12q13, +7, −9p21p23, −9q13q23.1, −10, −11q23.1q23.3, −12q22qter, −13q12.3qter, −17, −18p11.1p11.3, −20, +Xq13q23
338/12pGBM72/m-X, +7, −9p21pter, −11q12q13.2, +17p11.2p12, +20
791/08pGBM56/mNo aberrrations
663/12pGBM65/f+4, +7, −10p14pter, −10q25.2qter, +12q13.1q13.3, −15
754/12pGBM56/m+5p, +5q11.2q14, +7, −10, −13q11q21.1, −17q24qter, −19q
2512/11pGBM42/m-Xp, +4q, amp4q12, −5q13.3qter, −7p14pter, +7q, +8p, −9q34.1qter, −10q22.3qter, −11p, −11q24qter, −12p, −12q14q23, −13, −18p11.2pter, −18q22qter, −21
Table 5

Overview of the chromosomal alterations

AlterationGroup BfrequencyGroup Afrequency
amplification 4q126/36 (17%)5/36 (14%)
gain on chromosome 730/36 (83%)31/36 (86%)
amplification on 7p128/36 (22%)6/36 (17%)
loss on 9p16/36 (44%)18/36 (50%)
loss on 10q23/36 (64%)25/36 (69%)
gain on 12q9/36 (25%)6/36 (17%)
loss of chromosome 1313/36 (36%)21/36 (58%)
loss of chromosome 208/36 (22%)9/36 (25%)
loss of chromosome 228/36 (22%)7/36 (19%)
Clinical chacteristics and CGH results of the Carmustin group Clinical characteristics and CGH results of the Controll group Overview of the chromosomal alterations Patients in group B whose tumors showed an amplification of 4q12 had a statistically significant reduced OS (log-rank test, p = 0.00835). An amplification of 4q12 for patients of group A did not show this worsening effect on OS. In contrast if a loss of chromosome 10 occurred in tumor samples, patients in group B, who additionally received carmustine wafer implantation, showed a significantly longer OS (p = 0.0123). This effect could not be observed in group A. A loss of 13q in group B was significantly associated with a longer OS (p = 0.0364). Again, this effect could not be observed in group A. No further significant correlations regarding clinical, chromosomal and epigenetic data could be observed.

Discussion

The focus of this study was to find new molecular markers for treatment response in GBM. Only a few previous retrospective and prospective studies have analyzed the combination of carmustine wafer implantation with the combined standard chemoradiation protocol for the treatment of newly diagnosed glioblastoma [26-35]. We report here the impact of carmustin wafer implantation together with the combined standard chemoradiation protocol in newly diagnosed supratentorial glioblastoma in adults. To overcome the limitations inherent to retrospective observational studies, we performed a confirmatory case matched analysis (N = 72). The data from our study confirmed previous trials suggesting that MGMT is a predictive marker for TMZ therapy response [11, 14–19]. We also found a significant correlation between MGMT methylation status and OS in our total collective. This significance vanished when the patients were stratified for treatment group A or B. This may result from the limited number per treatment cohort. Losses of chromosome 10 are among the most frequent in GBM [36-38]. Patients with additional carmustine wafer treatment and a loss of chromosome 10 showed a significantly longer OS than patients without that chromosomal loss. An explanation for this could be the MGMT gene locus on 10q21. A loss of this region results in a loss of MGMT expression and therefore ameliorate the treatment response of both TMZ and the local carmustin therapy. Wemmert et al. could show a similar effect regarding TMZ therapy alone [38]. In our trial this effect occurred only in patients receiving both TMZ/RT → TMZ regime and carmustin wafer implantation, but not in patients who received TMZ/RT → TMZ regime alone. Possibly other so far unknown gene loci might also play an important role. Mutations and deletions of p15 and p16 are frequent genetic alterations in glial tumors [39-43]. p15 and p16 inhibits CDK4 and CDK6, therefore p15 and p16 act as tumor suppressors and lead to cell cycle arrest in the late G1 phase [33]. Previous studies indicated that a loss of expression, resulting from deletion, mutations or methylation of p15 and p16 is associated with a significantly worse prognosis for survival in glioblastoma [21, 38, 44, 45]. Our data supports this point of view, at least regarding p15. Interestingly patients administered to group B with methylated p15 showed significantly the shortest OS of all subgroups within our trial. The low number of only six p16 methylated tumors shows that p16 is not of significant impact on our collective. Considering the findings of the literature this is not surprising [21, 38, 44–46]. Another important finding of our study is the amplification of the region 4q12 as a prognostic marker in patients additionally treated with carmustine wafer. Patients in group B whose tumor showed this amplification had a significantly shortened OS. PDGFRα, a tyrosine kinase, is located in the region of 4q12. PDGFRα is known to play a major role in tumor angiogenesis by stimulation of cell growth [47, 48]. The exact mechanism of PDGFRα in vasculogenesis and tumor angiogenesis is yet unknown, but an overexpression of PDGFRα caused by gene amplification may result in more aggressive tumor growth. This effect was not observable in group A. Maybe PDGFRα is not the only determinant gene influencing OS and due to the described tumor heterogeneity in GBM it did not reach a statistical significant level [24, 49, 50]. We also detected a better prognosis in group B if chromosome 13 or parts of chromosome 13 were lost. This is concordant with previous findings where a survival benefit in patients treated with alkylating agents was found, if chromosome 13 was lost [38]. A further genetic hotspot is the RB1 gene, which is located on 13q14.2. Maybe a loss of this gene influences the oncological behavior of tumor cells in such a manner that additional carmustine wafer therapy shows an improved impact on the clinical course. This effect could not be shown in the standard therapy group treated with Stupp regime. Hence a loss of chromosome 13 is maybe a prognostic marker for an ameliorated clinical course which would recommend the implantation of carmustine wafers. Besides to the molecular findings described above, we found no significant survival benefit between group A and B in general. We think it is not recommendable to use additional carmustine wafer implantation in every single case. This is conclusive with the data of other clinical studies and the widespread use of carmustine wafers is highly controversial due to its debatable clinical impact. Pallud et al. could e.g., not show a long-term benefit regarding overall survival (OS) in a cohort of 354 patients [9]. This controversy is even more understandable if the clinical side effects of carmustine wafer implantation is taken into account. Especially operative wound infection and cerebral edema can be increased [10]. Therapy with carmustine wafers should be individually assessed for each patient. This also represents the current opinion in treatment guidelines, in general. Overall, our findings suggest that carmustin wafer implantation in combination with maximal safe resection, followed by combined standard chemoradiation protocols, is a promising treatment option for patients with supratentorial glioblastoma harboring MGMT promoter methylation.

Conclusion

A clinical benefit for the widespread use of additional carmustine wafer implantation could not be found. However, carmustine wafer implantation shows a significantly improved overall survival if chromosome 10 and particularly 10q or chromosome13 are deleted. In cases of 4q12 amplification and in cases of a methylated p15 promotor, the use of carmustine wafers is especially not recommended. The MGMT promoter methylation is a strong prognostic Biomarker for benefit from temozolomide and BCNU chemotherapy. Therefore we propose to use BCNU wafers in a second line therapy, when the chromosomal and epigenetic data from the primary tumor are available. However, owing to the small number of patients these findings would need to be corroborated in lager patients cohorts.
  49 in total

Review 1.  Recent advances in therapy for glioblastoma.

Authors:  Jennifer Clarke; Nicholas Butowski; Susan Chang
Journal:  Arch Neurol       Date:  2010-03

2.  Safety and efficacy of Gliadel wafers for newly diagnosed and recurrent glioblastoma.

Authors:  Pasquale De Bonis; Carmelo Anile; Angelo Pompucci; Alba Fiorentino; Mario Balducci; Silvia Chiesa; Giulio Maira; Annunziato Mangiola
Journal:  Acta Neurochir (Wien)       Date:  2012-06-21       Impact factor: 2.216

3.  A retrospective study of the safety of BCNU wafers with concurrent temozolomide and radiotherapy and adjuvant temozolomide for newly diagnosed glioblastoma patients.

Authors:  Edward Pan; Susan B Mitchell; Jerry S Tsai
Journal:  J Neurooncol       Date:  2008-04-04       Impact factor: 4.130

Review 4.  Localized BCNU chemotherapy and the multimodal management of malignant glioma.

Authors:  Renato V La Rocca; H Maximilian Mehdorn
Journal:  Curr Med Res Opin       Date:  2009-01       Impact factor: 2.580

5.  Implanted carmustine wafers followed by concomitant radiochemotherapy to treat newly diagnosed malignant gliomas: prospective, observational, multicenter study on 92 cases.

Authors:  Julien Duntze; Claude-Fabien Litré; Christophe Eap; Etienne Théret; Adeline Debreuve; Nicolas Jovenin; Emmanuèle Lechapt-Zalcman; Philippe Metellus; Philippe Colin; Jean-Sébastien Guillamo; Evelyne Emery; Philippe Menei; Pascal Rousseaux; Philippe Peruzzi
Journal:  Ann Surg Oncol       Date:  2012-12-02       Impact factor: 5.344

6.  CDKN2 (p16/MTS1) gene deletion or CDK4 amplification occurs in the majority of glioblastomas.

Authors:  E E Schmidt; K Ichimura; G Reifenberger; V P Collins
Journal:  Cancer Res       Date:  1994-12-15       Impact factor: 12.701

7.  Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands.

Authors:  J G Herman; J R Graff; S Myöhänen; B D Nelkin; S B Baylin
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-03       Impact factor: 11.205

8.  In vivo versus in vitro degradation of controlled release polymers for intracranial surgical therapy.

Authors:  M P Wu; J A Tamada; H Brem; R Langer
Journal:  J Biomed Mater Res       Date:  1994-03

Review 9.  Correlation of O6-methylguanine methyltransferase (MGMT) promoter methylation with clinical outcomes in glioblastoma and clinical strategies to modulate MGMT activity.

Authors:  Monika E Hegi; Lili Liu; James G Herman; Roger Stupp; Wolfgang Wick; Michael Weller; Minesh P Mehta; Mark R Gilbert
Journal:  J Clin Oncol       Date:  2008-09-01       Impact factor: 44.544

10.  Marked inactivation of O6-alkylguanine-DNA alkyltransferase activity with protracted temozolomide schedules.

Authors:  A W Tolcher; S L Gerson; L Denis; C Geyer; L A Hammond; A Patnaik; A D Goetz; G Schwartz; T Edwards; L Reyderman; P Statkevich; D L Cutler; E K Rowinsky
Journal:  Br J Cancer       Date:  2003-04-07       Impact factor: 7.640

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  4 in total

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Authors:  Stephen Lowe; Krishna P Bhat; Adriana Olar
Journal:  Cancer Rep (Hoboken)       Date:  2019-09-04

2.  Analysis of human gliomas by swab touch spray-mass spectrometry: applications to intraoperative assessment of surgical margins and presence of oncometabolites.

Authors:  Valentina Pirro; Raquel Sero Llor; Alan K Jarmusch; Clint M Alfaro; Aaron A Cohen-Gadol; Eyas M Hattab; R Graham Cooks
Journal:  Analyst       Date:  2017-10-23       Impact factor: 4.616

3.  Prognostic value of test(s) for O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation for predicting overall survival in people with glioblastoma treated with temozolomide.

Authors:  Alexandra McAleenan; Claire Kelly; Francesca Spiga; Ashleigh Kernohan; Hung-Yuan Cheng; Sarah Dawson; Lena Schmidt; Tomos Robinson; Sebastian Brandner; Claire L Faulkner; Christopher Wragg; Sarah Jefferies; Amy Howell; Luke Vale; Julian P T Higgins; Kathreena M Kurian
Journal:  Cochrane Database Syst Rev       Date:  2021-03-12

Review 4.  A Critical Overview of Targeted Therapies for Glioblastoma.

Authors:  Kewal K Jain
Journal:  Front Oncol       Date:  2018-10-15       Impact factor: 6.244

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