f a 2 × 2 contingency table.

For identification of proteins that correspond to the mass peaks, the m/z ratio of the peaks was entered into the Expasy tagident tool. The resulting characteristics of potential proteins given by Expasy tagident were then used for an extended PubMed literature search, combining the name of the protein with “brain”, “tumor”, “glioblastoma”, “metastasis” and “CSF”.

4. Immunohistochemistry

For the two protein candidates, potentially corresponding to the spectrometric peak at m/z 6433, rabbit polyclonal antibodies were employed. In anti-ApoC1

Table 1. MALDI-TOF MS protein peaks with the highest mean relative intensity and their percentage of positive samples in the three diagnosis groups.

rel int = relative intensity; CSF = cerebrospinal fluid; gbm = glioblastoma; met = metastases. p-values obtained from a two-sided Fishers exact test of a 2x2 contingency table. ns = not significant (p > 0.05).

(HPA051518, Sigma-Aldrich) the immunogen consists of the amino acids 28 to 77 of the protein, mainly corresponding to the processed truncated apolipoprotein C1 (aa29 to 83, 6432 Dalton). For anti-LuzP6 a custom-made antibody was purchased, the immunogen consisted of the 29 n-terminal amino acids (MKSVISYALYQVQTGSLPVYSSVLTKSPL) of the LuzP6 protein (Abnova, Taiwan). The paraffin slides were processed according to standard protocols and automated staining was performed in a Benchmark Ultra 2 (Ventana). After deparaffinization, the slices for ApoC1 staining were preconditioned in CC1 buffer for 36 minutes. All further steps took place using the standard reaction buffer (pH 7.4 to 7.8) at 37˚C. The antibodies were diluted 1:50 in antibody diluent (Ventana) and incubated for 60 minutes. Visualization was performed with the Ultra view universal DAB detection kit followed by a hematoxylin/bluing counterstaining.

5. Results

The heterogeneity of peaks was lowest in CSF from controls (94 bands from 23 samples, ca. 4/sample), average in cyst fluid from glioblastoma (148 from 24 samples, ca. 6/sample) and highest in metastases (125 peaks from 15 samples, ca. 8/sample). Altogether, 367 peaks could be distinguished and listed according to their relative intensity.

Theoretically, low mass peaks of high intensity can be generated from larger proteins bearing more than one charge (z > 1) or from multi-homomeric proteins that are disassembled during the ionization process. To address this issue, the m/z ratio of the smaller bands was checked for the presence of peaks corresponding to multiples of their size (Table 2). Concerning proteins shown in table 1, this was the case for the peaks at 3513 and 5865 (both CSF), 6025 (met) and 1865 (gbm).

According to this, the protein peak 4 (m/z 5865) is likely to stem from a physiologic CSF protein (peak 16, m/z 11730), since both peaks are found in every CSF sample and in about half of all tumor samples, with significantly different frequencies between diagnosis groups (Table 2). In peaks 4 and 16, the relative intensities of the low weight peaks are about twice the intensity of the higher weight peaks. Among potential proteins fitting into this relation beta-microglobulin (11,731 Da), a major histocompatibility complex class-I associated protein present on all nucleated cells [3] ; antileukoproteinase (11,726 Da), a secreted proteinase inhibitor involved in NF-kappa-B regulation; and the n-cym protein (11,733 Da), which is expressed in fetal brain, cerebral neuronal cells and neuroblastoma can be found.

A similar, but less significant relation is found for the metastasis peak pair at m/z 6025 and 12,050 (Table 2). Both peaks occur predominantly in metastases, and in 4 of the metastasis samples (three of them are lung cancer metastases) both peaks are present. These findings match very well with the protein oncomodulin-1, which can bind two calcium ions, and which has been shown to be

Table 2. MALDI-TOF MS protein peaks with related bands that are multiples of their size within the range of +/− 0.3%. “Nr.” gives the rank of the peak according to its relative intensity out of 367.

rel int = relative intensity; CSF = cerebrospinal fluid; gbm = glioblastoma; met = metastases. p-values obtained from a two-sided Fishers exact test of a 2 x 2 contingency table. ns = not significant (p > 0.05).

associated with a metastatic phenotype of cancer cells [4] [5] . These peaks had not been detected by the former SELDI-TOF analysis (Table 4).

For the glioblastoma peak m/z 1865 and its quadruple 7460 a significant difference to occurrence in CSF is found (Table 2). However, neither for m/z 1865 nor for its double 3730 Expasy tag-ident results are obtained. For m/z 7460 about a dozen protein candidates are found, mostly isoforms of larger proteins, such as chemotactic factors, but also the insulin-like growth factor 2 (m/z 7476) [6] .

Only the octuple size of m/z 1865 (14,946 Da) had been detected using SELDI-TOF MS, with a significant difference between glioblastoma cyst fluid and CSF (Table 3). Potential proteins are interleukin-4 (14,963 Da), Profilin 1 and 2 (14,923 and 14,915 Da), as well as cystatin-9 (14,943 Da). Of special interest might be Maturin (14,925 Da, C7orf41), a protein involved in early neuronal development [7] .

The peak at m/z 3513 remains very difficult to interpret. Though it has the highest relative intensity of all peaks and occurs significantly more frequent in CSF samples than in glioblastoma or metastasis, no corresponding tagident results can be obtained. Due to its small size, the multiple of sizes open access to a huge number of potential proteins, but the peaks at m/z 7026 and 14,052 neither are very prominent, nor do they show a significantly different distribution between diagnosis groups (Table 2). Potential proteins are the “Negative regulator of P-body association” (7025 Da) and RPABC4 (7004 Da), a subunit of DNA-directed RNA polymerases, as well as the chain B of chymotrypsinogen B (14,049 Da).

Table 3. MS result synopsis for the comparison between glioblastoma cyst fluid and CSF. 21 protein peaks described by SELDI-TOF analysis were found in the present MALDI-TOF analysis, 4 of them (m/z 6433, 6632, 13879 and 16630) again with significant difference between diagnosis groups.

CSF: cerebrospinal fluid; gbm: glioblastoma; MW (Da): molecular weight in Dalton. P-value: level of significance in exponential form. Ns: not significant.

The size of peaks detected by MALDI-TOF ranged from m/z 1184 to 33,276. Below m/z 1400 and above 23,000 the peaks occurred merely in one or two samples of a diagnosis group and with only very low relative intensities (<0.03). This detection range is more restricted in comparison to the SELDI-TOF analysis (m/z 3892 to 146,376) but allows for description of smaller proteins.

In the SELDI-TOF MS analysis, 51 peaks had occurred with significant difference between glioblastoma and CSF [2] . 21 of these protein peaks were also identified in the present analysis using MALDI-TOF (Table 3). 12 peaks (57%) were retrieved in the same kind of fluid (glioblastoma cyst or CSF), comprising 3 in which the significant difference between glioblastoma cyst fluid and CSF could be confirmed.

When comparing metastasis cyst fluid with CSF, 49 peaks had been found by SELDI-TOF MS analysis and 20 of them were confirmed in the present study by MALDI-TOF MS (Table 4). Again, more than half of the peaks were retrieved in the same diagnosis group (11 peaks, 55%). Two peaks were confirmed with significantly different frequency between cyst fluid and CSF.

Among the SELDI-TOF peaks that were confirmed by MALDI-TOF (Table 3 and Table 4), 14 are present in both comparisons (glioblastoma versus CSF and metastasis versus CSF). 10 (71%) remain in the same diagnosis group (tumor or CSF).

In CSF, three protein peaks were found with a significantly different number of positive samples between diagnosis groups, two when comparing CSF to glioblastoma cyst fluid (m/z 13,879 and 16,630), and one in comparison to metastases (m/z 11,732). The latter is most likely associated to beta-microglobulin as discussed above (peak 16, Table 2).

Table 4. MS result synopsis for the comparison between metastasis cyst fluid and CSF. 20 protein peaks described by SELDI-TOF analysis were found in the present MALDI-TOF analysis, 2 of them (m/z 9419 and 11,732) again with significant difference between the diagnosis groups.

CSF: cerebrospinal fluid; gbm: glioblastoma; met: metastasis. MW (Da): molecular weight in Dalton. P-value: level of significance in exponential form. Ns: Not significant.

The peak at m/z 13879 has not been detected in glioblastoma cyst fluid, it is present in CSF and metastases with about similar percentage of positive samples (Table 3 and Table 4). This constellation allows the hypothetical suggestion of a protein that is lost during pathogenetic development of glioblastoma.

The protein peak at m/z 16,630 had first been detected in glioblastoma cyst fluid by SELDI-TOF MS (m/z 16,656), but was predominantly found in CSF in the MALDI-TOF MS examination (Table 3). The same situation was encountered in metastases versus CSF. SELDI-TOF MS showed a peak at m/z 16,621 in metastasis cyst fluid, but MALDI-TOF MS detected this peak in CSF (m/z 16645, Table 4). Among the many potential proteins displayed in tagident when searching with this rather high m/z ratio, is the neuroendocrine protein 7B2 (16,640 Da, “secretogranin 5”), a molecular chaperone involved in transport and secretion of neuropeptides, that has been shown to be down-regulated by DNA methylation in astrocytic gliomas [8] . Other corresponding proteins are probetacellulin (16,629 Da), a growth factor that binds to the EGF-receptor, and Eukaryotic translation initiation factor 5A-2 (16,662 Da), a protein involved in mRNA turnover and cell cycle progression.

In the metastasis cyst samples a protein peak at m/z 9419 was found with both techniques (MALDI and SELDI), with a significantly higher percentage of positive samples in metastasis cyst fluids than in CSF (Table 4, MALDI: p = 1.85 × 10−2). The peak had been present in the SELDI-analysis of glioblastoma cyst fluid, but was not confirmed by MALDI-TOF MS (Table 3). A protein supporting the metastasizing phenotype might be underlying, but among potential protein candidates are also C-X-C motif chemokine 14, a secreted chemoattractant for neutrophils expressed in brain, parathyroid hormone and 40S ribosomal protein S27a, that can be linked to ubiquitin.

In glioblastoma cyst fluid, MALDI-TOF MS confirmed at nearly the same size and with significant different occurrence to CSF and to metastases the peak at m/z 6632 (Table 3). This size may correspond to the SH2 domain-containing protein 1A (6631 Da), a factor involved in lymphocytic immune response, the C-X-C motif chemokine 17 (6627 Da), playing a role in angiogenesis and cell differentiation, or the protein ApoC1. ApoC1 is coded on chromosome 19q13.32, it is involved in lipoprotein metabolism and because of alternative splicing many transcript variants exist. The gene is activated when monocytes differentiate into macrophages and ApoC1 expression has been shown in cerebral tissue [9] .

ApoC1 is also found, when searching the Expasy tagident database for the most prominent glioblastoma cyst peak at m/z 6433. SELDI-TOF MS had detected the peak in glioblastomas (m/z 6424) and in metastases (m/z 6436), MALDI-TOF MS analysis now narrowed the range to lie between m/z 6433 and 6435 (Table 3 and Table 4). Because of the many splice variants, ApoC1 is listed at 6631 Da and a truncated ApoC1 form exists at a molecular weight of 6432 Da. Only one other protein is displayed by tagident at this size, the Leucine zipper protein 6 (6437 Da). This protein is possibly a self-tumor antigen, associated to myeloproliferative disease. The gene is located on chromosome 7q33 with an atypical AUU translation start codon in the 3'-untranslated region of the myotrophin gene [10] .

To further assess cellular expression of the two proteins in tumor tissue, immunohistochemistry of histologic slides of cystic glioblastoma was performed. In addition to the physiologically expressed ApoC1, leucine zipper protein 6 could also be detected by antibody staining, thus supporting the results of the spectrometric analyses (Figure 2).

6. Discussion

MALDI-TOF and SELDI-TOF MS are discovery-oriented approaches and deliver a multitude of results, that have to be sorted and analyzed for further assessment. In the present publication, we were able to refine the former SELDI-TOF MS results by employing MALDI-TOF MS assessment of brain tumor cyst fluid in a new set of fluid specimens. The range of protein sizes discovered by MALDI-TOF MS is smaller and more narrow, mainly between 2 and 20 kDa. Given the +/− 0.3% accuracy range of both methods, 41 protein peaks have been re-identified when comparing CSF with cyst fluid from glioblastoma or metastases, and more than half of the peaks occurred in the same diagnosis group, namely tumor or CSF.

In 6 protein peaks, significantly different numbers of positive samples between the diagnosis groups were confirmed. Only one of these peaks (m/z 16,621 to 16,656) underwent a diagnosis shift. Whereas in the SELDI-TOF MS analysis it was predominantly present in glioblastoma cyst fluid or metastasis cyst fluid, MALDI-TOF MS showed its occurrence in CSF.

This diagnosis shift displays two limitations of the approach. On one hand, if an important part of the cyst fluid consists of CSF, as for example in recurrent tumors with large residual resection cavities, the protein content will be attributed to the (recurrent) tumor, following the informations received from the neurosurgeon after fluid aspiration, though it may mainly contain CSF.

Figure 2. Immunohistochemical staining of corresponding slides of a cystic glioblastoma. (A) ApoC1 staining with hematoxylin/bluing counterstain: few positive tumor cells and endothelial expression; (B) LuzP6 (n-terminal) staining with hematoxylin/bluing counterstain: a high number of positive tumor cells showing nuclear expression (original magnification 200×).

On the other hand, high molecular weights are difficult to analyze, since our analysis algorithm allows for a deviation of 0.3% according to the methods accuracy, which at this size means up to 50 Dalton. The potential proteins underlying this peak can thus differ by more than 10 amino acids, leading to a blurred way of identification. Moreover, at this size the Expasy tagident tool displays regularly more than 50 possibly “discovered” proteins, among them many isoforms, truncated, or even only inferred proteins. Lastly, the status of cysteine residue oxidation remains unknown, as well as the intratumoral pH-value. From this point of view, the restriction of the MALDI-TOF MS approach to smaller protein sizes may enable an easier identification.

Concerning the other 5 protein peaks with confirmed significant difference between tumor samples and CSF, two might be physiological CSF proteins (m/z 11,727 and 13,879). One is assigned to metastasis tissue (9419 Da) and had also been found in glioblastoma cyst fluid by SELDI-TOF MS analysis. Since brain metastases arise from different primary tumors, it can be speculated that the underlying protein constitutes a part of the cerebral immune response against the growing cells, such as the secreted chemotactic factor C-X-C motif chemokine 14.

The two remaining significant protein peaks (m/z 6433 and 6632) are found in glioblastoma cyst fluid compared to CSF. In accordance to the SELDI-TOF MS results, the peak at m/z 6433 was again the most predominant, and the more precise mass determination by MALDI-TOF MS reduced the list of potential candidates down to apolipoprotein C1 and leucine zipper protein 6. Searching the tagident tool with m/z 6632 resulted in 10 potential proteins, among them a further splice variant of ApoC1. Immunohistochemical staining then confirmed the presence of both proteins in tissue of cystic glioblastoma (Figure 2), thus underlining the feasibility of the analysis algorithm to detect proteins that are connected to glioblastoma metabolic pathways.

Whereas ApoC1 is known to be expressed in cerebral tissue [9] , the LuzP6 results can only be interpreted with a hypothetical explanation. The protein myotrophin interferes with NFkappaB regulation, that may play a role in glioblastoma growth [11] . LuzP6 is translated from the myotrophin gene, which is known to be stimulated by insulin like growth factors [12] [13] . The protein size of insulin-like growth factor 2 (7458 Da) has been detected in the present MALDI-TOF MS analysis, significantly more frequent in glioblastoma cyst fluid than in CSF (Table 2). LuzP6 may then be expressed as a result of this stimulation, or in form of a fusion protein with myotrophin [14] .

Our ongoing research deals with immunohistochemical analysis of a larger number of glioblastoma specimens including non-cystic tumors, to identify the percentage of LuzP6 expression in comparison to ApoC1, and in relation to further candidate proteins. Immunostaining of myotrophin, together with mRNA analysis of protein expression will be needed, to elucidate potential growth stimulating metabolic pathways.

The present results have refined and focused the former SELDI-TOF MS analysis using MALDI-TOF MS and are confirmed by immunohistochemistry. They support the proteomic approach as a way to generate hypotheses on growth stimulating pathways in brain tumors, aiming for the discovery of tumor-associated biomarkers [15] .

7. Conclusion

Mass spectrometric analysis by laser-desorption ionization is a feasible tool to assess brain tumor cyst protein content in comparison to cerebrospinal fluid. A thorough work-up, including internet-based data research, immunohistochemistry and mRNA-analysis is needed to describe the obtained results in detail and to develop hypotheses concerning biomarkers. In the present study, immunohistochemistry confirmed the presence of apolipoprotein C1 and leucine zipper protein 6 in glioblastoma tissue, as supposed from MALDI-TOF MS assessment.

Abbreviations

ACN: acetonitrile

ApoC1: apolipoprotein C1

CNS: central nervous system

CSF : cerebrospinal fluid

GBM: glioblastoma

HCCA: alpha-cyano-4-hydroxycinnamic acid

LuzP6: leucine zipper protein 6

m: molecular mass [Dalton]

MALDI: matrix assisted laser desorption ionization

MET: metastasis

MS: mass spectrometry

SELDI: surface enhanced laser desorption ionisation

TFA: trifluoroacetate

TOF: time of flight

z: electrical charge of a molecule

Cite this paper
Groll, M. , Frenzel, J. , Krause, M. , Schänzer, A. , Müller, W. , Eschrich, K. and Nestler, U. (2018) MALDI-TOF Mass Spectrometric Analysis of Brain Tumor Cyst Fluid Reveals a Protein Peak Corresponding to ApoC1 and LuzP6. Open Journal of Modern Neurosurgery, 8, 251-263. doi: 10.4236/ojmn.2018.83021.
References
[1]   Stockhammer, G., Obwegeser, A., Kostron, H., et al. (2000) Vascular Endothelial Growth Factor (VEGF) Is Elevated in Brain Tumor Cysts and Correlates with Tumor Progression. Acta Neuropathologica, 100, 101-105.
https://doi.org/10.1007/s004010051199

[2]   Hoelscher, M., Richter, N., Melle, C., et al. (2013) SELDI-TOF Analysis of Glioblastoma Cyst Fluid Is an Approach for Assessing Cellular Protein Expression. Neurological Research, 35, 993-1001.
https://doi.org/10.1179/016164113X13756993777580

[3]   Svatoňová, J., Borecká, K., Adam, P., et al. (2014) Beta2-Microglobulin as a Diagnostic Marker in Cerebrospinal Fluid: A Follow-Up Study. Disease Markers, 495402.
https://doi.org/10.1155/2014/495402

[4]   Brewer, L.M., Durkin, J.P. and MacManus, J.P. (1984) Immunocytochemical Detection of Oncomodulin in Tumor Tissue. Journal of Histochemistry & Cytochemistry, 32, 1009-1016.
https://doi.org/10.1177/32.10.6384359

[5]   Nestl, A., Von Stein, O.D., Zatloukal, K., et al. (2001) Gene Expression Patterns Associated with the Metastatic Phenotype in Rodent and Human Tumors. Cancer Research, 61, 1569-1577.

[6]   Weroha, S.J. and Haluska, P. (2012) The Insulin-Like Growth Factor System in Cancer. Endocrinology and Metabolism Clinics of North America, 41, 335-350.
https://doi.org/10.1016/j.ecl.2012.04.014

[7]   Martinez-De Luna, R.I., Ku, R.Y., Lyou, Y., et al. (2013) Maturin Is a Novel Protein Required for Differentiation during Primary Neurogenesis. Developmental Biology, 384, 26-40.
https://doi.org/10.1016/j.ydbio.2013.09.028

[8]   Waha, A., Felsberg, J., Hartmann, W., et al. (2012) Frequent Epigenetic Inactivation of the Chaperone SGNE1/7B2 in Human Gliomas. International Journal of Cancer, 131, 612-622.
https://doi.org/10.1002/ijc.26416

[9]   Cudaback, E., Li, X., Yang, Y., et al. (2012) Apolipoprotein C-I Is an APOE Genotype-Dependent Suppressor of Glial Activation. Journal of Neuroinflammation, 9, 192.
https://doi.org/10.1186/1742-2094-9-192

[10]   Xiong, Z., Liu, E., Yan, Y., et al. (2006) An Unconventional Antigen Translated by a Novel Internal Ribosome Entry Site Elicits Antitumor Humoral Immune Reactions. The Journal of Immunology, 177, 4907-4916.
https://doi.org/10.4049/jimmunol.177.7.4907

[11]   Knuefermann, P., Chen, P., Misra, A., et al. (2002) Myotrophin/V-1, a Protein Up-Regulated in the Failing Human Heart and in Postnatal Cerebellum, Converts NFkappa B p50-p65 Heterodimers to p50-p50 and p65-p65 Homodimers. The Journal of Biological Chemistry, 277, 23888-23897.
https://doi.org/10.1074/jbc.M202937200

[12]   Peters, G., Gongoll, S., Langner, C., et al. (2003) IGF-1R, IGF-1 and IGF-2 Expression as Potential Prognostic and Predictive Markers in Colorectal-Cancer. Virchows Archiv, 443, 139-145.
https://doi.org/10.1007/s00428-003-0856-5

[13]   Suvasini, R., Shruti, B., Thota, B., et al. (2011) Insulin Growth Factor-2 Binding Protein 3 (IGF2BP3) Is a Glioblastoma-Specific Marker that Activates Phosphatidylinositol 3-Kinase/Mitogen-Activated Protein Kinase (PI3K/MAPK) Pathways by Modulating IGF-2. The Journal of Biological Chemistry, 286, 25882-25890.
https://doi.org/10.1074/jbc.M110.178012

[14]   Zumkeller, W., Saaf, M. and Rahn, T. (1993) Insulin-Like Growth Factor (IGF)-I, -II and IGF-Binding Proteins in the Cyst Fluid of a Patient with Astrocytoma. Child’s Nervous System, 9, 100-103.
https://doi.org/10.1007/BF00305317

[15]   Kim, J.H., Lee, S.K., Yoo, Y.C., et al. (2012) Proteome Analysis of Human Cerebrospinal Fluid as a Diagnostic Biomarker in Patients with Meningioma. Medical Science Monitor, 18, BR 450-460.

 
 
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