Quantitative metabolic characteristics in the peritumoral region of gliomas at 7T

Yan, Gen; Yi, Meizhi; Li, Shengkai; Yang, Lin; Dai, Zhuozhi; Xuan, Yinghua; Wu, Renhua

doi:10.3233/THC-218048

Quantitative metabolic characteristics in the peritumoral region of gliomas at 7T

Article type: Research Article

Authors: Yan, Gen^{a; 1} | Yi, Meizhi^{b; 1} | Li, Shengkai^c | Yang, Lin^f | Dai, Zhuozhi^f | Xuan, Yinghua^{e; *} | Wu, Renhua^{d; f; *}

Affiliations: [a] Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, Fujian, China | [b] The First Affiliated Hospital of University of South China, Hengyang, Hunan, China | [c] Department of Radiology, Huizhou Municipal Central Hospital, Huizhou, Guangdong, China | [d] Provincial Key Laboratory of Medical Molecular Imaging, Shantou, Guangdong, China | [e] Department of Basic Medicine, Xiamen Medical College, Xiamen, Fujian, China | [f] Department of Medical Imaging, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China

Correspondence: [*] Corresponding authors: Yinghua Xuan, Department of Basic Medicine, Xiamen Medical College, Xiamen, Fujian 361008, China. E-mail: yhxuan@jiangnan.edu.cn. Renhua Wu, Provincial Key Laboratory of Medical Molecular Imaging, %****␣thc-29-thc218048_temp.tex␣Line␣125␣**** Shantou, Guangdong 515041, China. E-mail: rhwu@stu.edu.cn.

Note: [1] These authors are co-first authors of this work.

Keywords: Glioma, tumor metabolism, Magnetic resonance imaging, Magnetic resonance spectroscopy (MRS)

DOI: 10.3233/THC-218048

Journal: Technology and Health Care, vol. 29, no. S1, pp. 509-517, 2021

Published: 25 March 2021

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Abstract

BACKGROUND:

The determination of tumor peripheral is of great significance in clinical diagnosis and treatment.

OBJECTIVE:

In this study, we aim to obtain the metabolic condition in tumor peripheral of gliomas in vivo at 7T.

METHODS:

C6 glioma cells were implanted into the right basal ganglia of Sprague-Dawley (SD) rats under stereotactic guided to create the glioma models. The models were sequentially undergone MRI and MRS examination on an 7T MR scanner designed for animals 7 days after the operation. Neuro metabolites were investigated from the center of the tumor, solid part of the tumor, peritumoral region, and contralateral white matter, and be quantified using the LCmodel software. Glial fibrillary acidic protein (GFAP) immunohistochemistry and conventional hematoxylin and eosin (HE) staining were performed after the imaging protocol.

RESULTS:

Our results found that the inositol (Ins) and taurine (Tau) significantly defected in tumor peripheral compared to both tumor solid and normal tissues (P< 0.05). In contrast, the glutamate and glutamine (Glx) escalated and peaked at the tumor peripheral (P< 0.05).

CONCLUSIONS:

This study revealed that Ins, Tau, and Glx have the potential to provide specific biomarkers for the location of tumor peripheral of glioma.

1.Introduction

Glioma is the most common primary brain tumor, which also leads to the greatest number of average years of life lost to cancer compared with other tumors [1]. There is a tropesis in the malignant brain glioma to infiltrate the surrounding white matter several distances from the tumor core [2]. The grade, classification, invasion, and prognosis of surgical treatment and radiation therapy are closely associated with the biochemical characteristics of different areas of glioma [3]. Histopathology is regarded as the “gold standard” diagnostic investigation in clinical practice [4]. However, such analysis demands surgical procedures with a potential danger k of morbidity and mortality. Detailed morphological information can be provided by conventional MRI, and this technique is the basis for the initial, non-invasive evaluation of glioma patients [5]. Conventional MRI, however, lacks adequate precision and can often provide confusing or misleading characteristics.

1H-MRS is a powerful tool for obtaining biochemical molecules present in tissues, thus providing abundant information about the predominant metabolites that are involved in different nervous system processes [6]. The tool can overcome ambiguities remaining after traditional MRI and can eliminate unnecessary biopsy procedures by supplying metabolic information from tissues of interest.

In this study, we used MRI and single-voxel 1H-MRS methods on a SD rat glioma model to characterize tumor morphology and spatial metabolic distribution features on a 7T MR scanner. In vivo1H-MRS measurements were carried out in four different areas of the tumor, namely the tumor center, solid part of the tumor, apparently normal peritumoral tissue, and contralateral white matter. Furthermore, we provided preliminary assessment of whether the additional metabolic information improved the definition of glioma extent.

2.Methods

2.1Animals

Female SD rats were purchased from the Laboratory Animal Center of the Medical College of Shantou University (Shantou, China). They were housed in standard raising condition and provided ad libitum access to water and food. All experimental protocols were authorized by the Ethics Committee of Shantou University Medical College and all experiments were conducted in accordance with guidelines from the Chinese Animal Welfare Agency. Every effort has been made to alleviate animal cruelty and to reduce the amount of animals used.

2.2Experimental design

Seventeen female SD rats, weighing 230–250 g, were randomized into two groups. All rats were habited for 7 days prior to the experiment. Prior to operation, each rat underwent 8 h of solid-food fasting and 4 h of liquid fasting. Rats of the glioma group (n= 10) accepted a 10 μl cerebral basal-ganglia region implantation of DMEM/F12 (1:1) media containing 1 × 106 C6 glioma cells. Rats of the control group (n= 7) accepted a 10 μl injection of pure DMEM/F12 (1:1) media. Seven days after the operation, each rat sequentially underwent MRI at 7T. Signal-voxel 1H-MRS acquisition was performed only on the glioma group, before the MRI scans. Finally, the rats were euthanized for histopathological examination.

2.3Tumor cell lines

The C6 glioma cell strain obtained from American Type Culture Collection (CLL107, Rockville, MD) were incubated in DMEM/F12 (1:1) (Gibco, USA), provided with 10% fetal bovine serum and penicillin/streptomycin, in a 5% CO2 atmosphere and at 37∘C. On the day of implantation, exponential-phase C6 cells were trypsinized with 0.5% trypsin (Invitrogen Corporation, USA) and suspended in DMEM/F12 (1:1). Subsequently, the cell suspension was centrifuged and resuspended in DMEM/F12 (1:1) to a population of 105 cells/ul. Further, 10 μl of cell suspension or pure DMEM/F12 (1:1) media was implanted. This stereotactic method successfully produced a glioma animal model in 100% of cases. All the rat C6 gliomas were confirmed by pathology.

2.4Surgical technique

Rats were anesthetized by intra-abdominal injection of 10% chloral hydrate solution at a dose of 1.65 ml/250 g body weight. After their cranial regions had been shaved and sterilized with a betadine solution, rats were ensconced on a sterile field in a prone position. The operation was performed using a stereotaxic apparatus (RWD Life Science, China). A midline incision approximately 1.5 cm in length was introduced in the skin over the skull and, using the micro-drill of the dentist (Osada, Japan), a small burhole was made at the coordinates 3 mm to the right of the sagittal suture and 1.0 mm to the front of the lambdoid suture. A 22-gauge, 10-μl Hamilton needle was inserted to a depth of 6 mm from the dura mater, and then 10 μl of C6 cell suspension or DMEM/F12 media was implanted into the right basal ganglia. The incision was closed with surgical staples and the animals were permitted to recover before returned to their cages.

2.5MRI and MRS acquisition

(1) Rats were anesthetized using 10% chloral hydrate solution and subsequently, less than 1.5–2 percent of isoflurane was maintained in oxygenated air delivered through a mask. Anesthetized rats were ensconced in a prone position with the head fixed on a palate holder fitted with an adjustable nose cone. Using a water-heated animal blanket, the body temperature was tracked and maintained at 36–37∘C. A 7.0 T horizontal drive MR device (Agilent Technologies, USA) with a 160 mm bore and a 400 mT/m actively shielded gradient coil was used to obtain in vivo MR imaging and spectra. A dedicated animal brain surface coil was used as the RF transmitter and signal receiver. First of all, a scout image was obtained to verify the subject location and quality of the image. The MR protocol included the standard structural sequences, T2-weighted imaging, T1-weighted imaging before and after tail vein injection of Gd-DTPA contrast medium and 1H-MRS. (2) Imaging parameters for T1-weighted images before and after contrast agent injection were as follows: Sems; repetition time (TR) 350 ms; effective echo time (TE) minimum; field of view (FOV) 25 × 25 mm; averages 8, and matrix 192 × 192. The T2-weighted images were obtained with same field of view and thickness, but with a TR of 2500 ms and an ESP of 12 ms. In the single-voxel MRS experiments, a fast-spin echo multi-slice pulse sequence (FSEMS) was used to acquire T2-weighted images and to position the voxel for 1H-MRS studies with following parameters: TR 5000 ms, TE 60 ms, coronal orientation, FOV 5 × 3 × 3 mm3 and with 160 signal averages. The regions of interest (ROI) were centered on the tumor center, solid part of the tumor, apparently normal peritumoral tissue, and contralateral white matter (Fig. 2D). The ROI should avoid the interference of fat cerebrospinal fluid and other substances outside the measured tissue. Shimming was required before each scan. In order to ensure the shimming effect, the spectral width (full width at half maximum, FWHM) should be constantly lower than 15HZ. With variable pulse power and optimized relaxation delays (VAPOR), water suppression was carried out. To compensate for eddy currents, we acquired a water reference scan, which also acted as an internal reference for absolute quantification.

2.6MRS data analysis

The LCmodel as defined by Provencher was used to analyze in vivo proton spectrum [7]. This software can calculates the best fit to the experimental spectrum as a linear combination of model spectra. Raw FID data were applied as standard data input. With no further T1 and T2 correction, the water-suppressed time-domain data between 0.2 and 4.0 ppm was analyzed. The basis set includes 17 individual metabolites. For absolute quantification of the metabolic concentrations, signal intensities were processed using water scaling. The sums of various metabolites (NAA+NAAG, Glu+Gln(Glx), GPC+PCh and Cr+PCr) are also estimated in addition to individual metabolites. The reliability of metabolite quantification was estimated by the standard deviations of the fits, which were expressed as the percent standard deviation (%SD) of the estimated concentration by Cramer-Rao lower bounds (CRLB) in LCmodel. Our criterion for reliability of the spectral fit was < 20% SD (Fig. 1). The spectrum lines were then fitted and phase corrected in jMRUI software.

Figure 1.

A, pathology sections of the glioma group with a semitransparent tumor in the right basal ganglia region. B, HE staining of the glioma with a central necrosis, peritumoral edema, and tissue invasion at 40× power. C, tumor cells with large and deep stained nuclei at 400× power. D, GFAP immunohistochemical examination of the glioma at 300× power.

2.7Histopathological analysis

Rats were euthanized for histopathological examination upon termination of the MRI and MRS scans. Each rat thorax was opened quickly and the right atrium was incised, following anesthesia by intraperitoneal injection with a 10% chloral hydrate solution. In the rats’ circulation, a cannula inserted into the left ventricle was injected into standard saline and supplemented by 4 percent paraformaldehyde. The entire brain tissue was removed and put into 10% methanol when the perfuse flowing from the right atrium was clear. The tumor tissue was fixed with 10% formaldehyde, and the paraffin was embedded routinely. The sections were stained with HE. The number, density and necrosis of tumor cells were observed under light microscope. Paraffin block was embedded routinely, and sections were stained with SP immunohistochemical method. The concentration of primary antibody (1:100), DAB staining, hematoxylinre staining and sealing were observed under light microscope. The results showed that brown yellow or brown particles in the nucleus or (and) cytoplasm were positive.

2.8Statistical analysis

One-way ANOVA followed by the Student-Newman-Keuls posttest was applied to test for differences in neuronal metabolite concentrations among the different areas. All procedures were carried out using SPSS version 17 for Windows (SPSS Inc., Chicago, IL, USA). The difference between the two groups was considered statistically significant at P< 0.05.

3.Results

After glioma cell injection, rats in the glioma group exhibited abnormal behavior compared to the controls. Initially, glioma-group rats manifested depression, decreased aggression, and decreased activity. Later, these rats demonstrated obvious weight loss, and exhibited symptoms of hemiplegia, hemorrhage around the orbits, epilepsy, and dyspraxia. The median survival for the glioma group was 15 days. None of the rats in the control group died through the study.

No evidence of cross-sectional tumors was shown in the histopathological review of the control group. Histopathological examination of the glioma group implanted with C6 glioma cells revealed that all developed brain tumors (Fig. 1A). The tumors showed highly cellular, well-defined lesions of invasion into the white matter with compression of the surrounding structures (Fig. 1B). A mild degree of angiogenesis (yellow arrow) was also demonstrated by these lesions. Necrosis (blue arrow) was also evident in the tumor center. At high imaging power, polymorphic malformed nuclei (red arrow) could be seen with clearly karyo mitosis, and polykaryocyte were observed within the tumors (Fig. 1C). The glia marker GFAP ((black arrow)) confirmed that these tumors were gliomas (Fig. 1D).

In MR images, the C6 gliomas of rats in the experimental group were mildly hypointense in T1-weighted images and hyperintense in T2-weighted images (Fig. 2A and B). There were obvious mixed signals in the tumor center that corresponded to the tumor necrosis that was apparent in the subsequent pathological examination. A T1-weighted image obtained after contrast agent injection showed obvious signal enhancement within the tumor (Fig. 2C). By light microscopy, the HE sections showed that the gliomas were surrounded by infiltrated and edematous tissues (Fig. 1C). However, in T2-weighted images the peritumoral edema was less obvious, and differences in signal intensity in structural MR images were not significant between the peritumoral area and contralateral white matter.

Table 1

Metabolite concentrations (umol/g,means ± SD) in the different selected ROIs of glioma

ROI	No	NAA	Cho	tCR	Lac	Ins	Tau	Ala	Gln	Glu	Glx
TC	10	0.57 ± 0.36	0.58 ± 0.22	1.35 ± 0.41	7.14 ± 3.24	3.42 ± 1.29	3.78 ± 0.94	1.47 ± 0.68	1.23±0.16	1.93±0.21	2.29 ± 0.78
TSP	10	2.12 ± 0.49	1.18 ± 0.12	3.00 ± 0.56	3.23 ± 0.52	0.73 ± 0.28	3.66 ± 0.68	1.26 ± 0.25	1.57±0.11	6.54± 0.33	4.18 ± 0.61
PNT	10	5.37 ± 0.72	1.02 ± 0.90	4.06 ± 0.42	4.09 ± 4.89	1.45 ± 0.73	1.88 ± 0.99	0.77 ± 0.23	4.94±2.12	3.323± 0.61	8.38 ± 0.74
CW	10	5.53 ± 0.23	0.83 ± 0.74	5.00 ± 0.65	0.20 ± 0.22	3.06 ± 0.88	5.24 ± 1.76	1.08 ± 0.22	2.51±1.72	5.02± 0.43	6.46 ± 1.02

ROIs, regions of interest; No, number of observations; TC, tumor center; TSP, solid part of tumor; PNT, apparently normal peritumoral tissue; CW, contralateral white-matter.

Table 2

Statistical significance (P-values) of metabolite concentrations in the different selected ROIs of glioma

ROI	ROI	NAA	Cho	tCR	Lac	Ins	Tau	Ala	Gln	Glu	Glx
CW	TC	0.000*	0.134	0.000*	0.008*	0.993	0.415	0.197	0.710	0.001*	0.000*
	PNT	0.996	0.995	0.053	0.393	0.018*	0.009	0.139	0.004*	0.150	0.012*
TSP	CW	0.000*	0.000*	0.000*	0.000*	0.523	0.306	0.016	0.210	0.009*	0.003*
	PNT	0.000*	0.998	0.012*	0.998	0.000*	0.016*	0.694	0.016*	0.812	0.000*
TC	TSP	0.000*	0.001*	0.000*	0.106	0.987	1.000	0.977	0.007*	0.419	0.002*
	PNT	0.000*	0.819	0.000*	0.734	0.036*	0.019*	0.721	0.243	0.005*	0.000*

ROIs, regions of interest; TC, tumor center; TSP, solid part of tumor; PNT, apparently normal peritumoral tissue; CW, contralateral white-matter; *, P< 0.05.

Figure 2.

A, axial T1-weighted images of the glioma group. B, axial T2-weighted images of the glioma group. C, axial T1-weighted image after contrast administration of the glioma group. D, the regions of interest in the brain of MRS was outlined by different colour squares.

Figure 3.

Proton MR spectra (A–D) from selected ROIs in the glioma group: A, tumor center; B, solid part of tumor; C, apparently normal peritumoral tissue; D, contralateral white matter.

Representative proton MR spectroscopy spectra in four different areas are shown in Fig. 3. Tables 1 and 2 show the statistical analysis of six main metabolite concentrations quantified by LCModel in different areas of the glioma. Gradual elevations in the levels of NAA and tCr were observed from the tumor center to the contralateral white matter. There were significant differences in NAA concentration between the tumor center and other areas of glioma (solid tumor, apparently normal peritumoral tissue, and contralateral white matter, P= 0). Similarly, significant differences were viewed in the mean tCr concentration between the tumor center and other areas of the glioma (solid tumor, adjacent apparently normal tissue, and contralateral white-matter, P= 0). A clear, gradual reduction of Ala was also seen from the center of the tumor to the contralateral normal white matter. However, significant differences in Ala were only found between between tumor center and tumor solid parts (P= 0); tumor center and adjacent normal-appearing tissue (P= 0); the tumor center and contralateral white-matter (P= 0); the tumor solid parts and adjacent normal-appearing tissue (P= 0.012); the tumor solid parts and contralateral white-matter (P= 0). (P= 0.016). Moreover, lowest levels of Ins and Tau were found in the apparently normal peritumoral tissue. Significant differences in Ins and Tau were found between the apparently normal peritumoral tissue and the other three regions (P= 0–0.036). In the seemingly normal peritumoral tissue, the highest Glx peaks showed up. There were also statistically significant variations between regions in Glx (P= 0–0.012).The highest level of Cho appeared in the solid part of the tumor. Significant differences in Cho were found between the solid part of the tumor and contralateral normal white and the tumor center (P= 0 and P= 0.001, respectively). The highest Lac peaks appeared in the tumor center. Significant differences in Lac were found between the contralateral normal white and solid part of the tumor and the tumor center (P= 0 and P= 0.008, respectively).

4.Discussion

Determination of the peritumoral region in glioma has drawn more and more attention in recent years [8, 9, 10]. On routine MR imaging, the peritumoral area (so-called uncertain zone) often appears morphologically normal [11, 12]. In this study we use 7.0T, make further investigation that the important Tau, Ins, and Glx can likely supply specific information about the potential location of the glioma border.

Tau is synthesized only in glial cells [13], which may explain its detection in gliomas. It protects against tissue damage in a variety of in vivo and in vitro models [14, 15]. Ins typically increases in glial tumors compared to normal brain tissue, and is usually greater in low-grade astrocytomas than in high-grade gliomas or metastases [16]. We found significant differences in Tau and Ins between the apparently normal peritumoral tissue and other three areas, with the lowest level of Tau and Ins occurring in the tumor periphery. Important variations in Ins and Tau between the peripheral region of the tumor and the three other areas were found. Tau and Ins possess higher water solubility than any other metabolites acquired in this study, and they are thus more easily affected by water. If peritumoral edema is prominent, although it is not obvious on conventional MRI, the increase in interstitial water may “dilute” the Tau signal and Ins peak on MRS. We preliminarily presume that Tau and Ins are potential 1H-MRS biomarkers for indicating the tumor border. However, further studies are needed to confirm this suggestion.

Currently, there is increased attention in the origin of the peaks at 2.35 ppm and 3.76 ppm that correspond to Gln and Glu or pooled as ‘Glx’ (Glx =Glu + Gln). In synapses where it is released from pre-synaptic cells, Glu, the most abundant excitatory neurotransmitter in the human brain, also plays an important role and then binds to post-synaptic receptors, thus inducing activation. Glu is stored metabolically in Gln in Glia and balance cycling is essential for the normal function of brain cells among these two neurochemicals. A number of conditions (e.g. mental illness, neuro-degeneration, brain tumor) are known to exhibit a Glu-Gln equilibrium disturbance, and the exact relevance is not fully understood between these changed conditions and these amino acids. In our study, the highest Glx peaks appeared in the tumor periphery. Only the Glx concentration among each region was statistically significant. It is reported that the total GLX concentration of high-grade gliomas is higher than that of low-grade gliomas. MRS study on primary brain tumors also showed that compared with astrocytoma, GLX of oligodendroglioma was significantly increased [17]. Glx is closely related to the maintenance of cell proliferation and cell activity. Its concentration in blood is high, and it becomes necessary under the pathological conditions of increasing demand, as in glutamine-addicted neoplasms. Glx metabolism is stoichiometrically correlated to the Glu-glutamine shuttle [18]. The Glu-Glutamine Shuttle was shown to be extremely complex in the human brain and to be the main course of the reproduction of neuronal Glu and of astroglio-Gln. Optimal functionality of the Glu-glutamine shuttle requires structural integrity of the extracellular glial matrix [19]. Glioma cells have been proved to infiltrate normal brain tissue and destroy the structural integrity of the glial matrix in the tumor periphery [20]. This disruption prevents the efficient circulation of the normal Glu-glutamine shuttle and leads to an increase in Glx levels in the tumor periphery. Besides, in peritumoral edema, the volume of the extracellular space can inflate tenfold versus normal physiological conditions [21]. Therefore, in theory, more Glu must be released from the synaptic button to maintain the same level of Glu transmission as normal. Thus, the amount of Glx in the peritumoral tissue is an integrated result of these two factors. Although the exact biochemical role of Glx has not been fully revealed, Glx had been proved to be involved in invasion. We suggest that Glx may be a valuable indicator of tumor extent, although this possibility warrants further investigation in a larger study.

5.Conclusions

This study demonstrates that Ins, Tau, and Glx have the potential to provide specific biomarkers for the location of tumor peripheral of glioma. 7T 1H-MRS is a useful method to discriminate tumor from necrosis, edema, or normal tissue, thus providing additional information on the morphologic appearance of tumor as compared with conventional MRI.

Acknowledgments

This work was supported by the Science and Technology Program of Fujian Province of China (No. 2017D017), The Joint Funds for the Health and Education of Fujian Province, China (No. 2019-WJ-31), and the Institute of Respiratory Diseases, Xiamen Medical College (No. HXJB-6 and 15); the Funds for International Cooperation and Exchange of the National Natural Science Foundation of China (No. 82020108016); the National Natural Science Foundation of China (No. 31870981); the Grant for Key Disciplinary Project of Clinical Medicine under the Guangdong High-level University Development Program (No. 002-18120302); the Natural Science Foundation of Guangdong Province (No. 2018A030307057).

Conflict of interest

The authors declare that there is no conflict of interest regarding the publication of this paper.

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