Back to Journal

SM Journal of Neurology and Neuroscience

Anaplastic Astrocytoma of the Spinal Cord. Case Report of Uncommon Tumor and Brief Review of the Literature

[ ISSN : 2573-6728 ]

Abstract ABBREVIATION INTRODUCTION CASE PRESENTATION DISCUSSION ACKNOWLEDGMENT REFERENCES
Details

Received: 10-Jun-2022

Accepted: 18-Jul-2022

Published: 22-Jul-2022

Jordan Gonia¹*, Jason Comeau¹, Harneil Gill¹, Andrew Kung¹, Andrew Treihaft¹, Bailey Corona¹, Rona Bakri¹, and Mohamed Aziz²

¹American University of the Caribbean School of Medicine, USA

²Ain Shams University School of Medicine, Cairo, Egypt

Corresponding Author:

Jordan Gonia. American University of the Caribbean School of Medicine, 1 University Drive at Jordan Road Cupecoy, St. Maarten, Tel: 920-889-6918

Keywords

Anaplastic, Spinal cord, Histopathology, Molecular

Abstract

Anaplastic astrocytoma (AA) is a malignant, primary tumor of the central nervous system. AA often occurs due to transformation from lower-grade astrocytomas or less commonly arises as a de novo tumor. WHO classification of AA is characterized by increased cellularity, nuclear atypia, increased mitotic activity, presence of glial markers, and absence of neuronal markers. Astrocytomas are the most common intramedullary tumor within the spinal cord in pediatric patients, and have the second highest incidence in adult patients with intramedullary spinal cord tumors, behind ependymomas. However, primary tumors of the spinal cord are rare, accounting for 3-6% of tumors located in the central nervous system. In a patient with spinal cord AA, the median survival from surgery to death is 6 months to 1 year. We report a case of primary AA within the spinal cord along with a brief review of the literature.

ABBREVIATION

AA: Anaplastic astrocytoma, GBM: Glioblastoma multiforme, IHC: Immunohistochemistry, TMZ: Temozolomide, IDH: Isocitrate dehydrogenase enzymes

INTRODUCTION

Anaplastic astrocytoma (AA) is a diffusely infiltrating, malignant, primary central nervous system tumor. The World Health Organization (WHO) classifies AA as a grade III anaplastic glioma, characterized by increased cellularity, nuclear atypia, pleomorphism, increased mitotic activity, presence of glial markers, and absence of neuronal markers. AA affects males slightly more than females and represents 6–7% of all gliomas and 1.7% of all tumors [1]. AA constitutes 4% of all malignant CNS tumors [2]. 25% of AA arises as a de novo tumor and an estimated 75% occur from transformation of a lower-grade astrocytoma [3]. The survival of patients with AA varies depending upon molecular pathology. The WHO 2016 classification changed the diagnostic and prognostic approach to gliomas, which included consideration of molecular characteristics of the unique stages of the tumor [4]. AA is characterized as being without 1p/19q codeletion, and can be separated into IDH wild-type and IDHmutant variants. IDH wild-type has a poorer prognosis, while IDH-mutant type carries a younger median age of onset [5]. The median age of onset is 41 years old [6]. With conventional treatment of any central nervous system AA, median overall survival (mOS) and 5-year survival rates are 3 years and 28%, respectively [7].

Generally, primary tumors of the spinal cord are rare, accounting for 3-6% of tumors in the central nervous system [8]. A specific subset is spinal cord astrocytoma, an intramedullary glial cell tumor that accounts for 6%-8% of all primary spinal cord growths. In the spinal cord, astrocytomas have the second highest incidence, while ependymomas have the highest incident. However, within the pediatric population, astrocytoma is the most common intramedullary tumor within the spinal cord [9]. These lower-grade astrocytomas have the capacity to transform into higher-grade malignant tumors, such as AA. Well-established risk factors for developing AA are exposure to ionizing radiation and genetic syndromes such as Li-Fraumeni syndrome, neurofibromatosis type 1 and 2, Turcot syndrome and tuberous sclerosis [10]. While large case studies are limited in patient population, several studies have demonstrated a local recurrence of AA found in about 50% of patients [11]. In a patient with spinal cord AA, the median survival from surgery to death is generally 6 months to 1 year [12].

CASE PRESENTATION

A 46-year-old man with history of well managed neurofibromatosis type I presented with back pain, sensory abnormalities including tingling with burning sensations, weakness, numbness, bowel and bladder dysfunction and gait disturbances. Symptoms were observed few months prior, with recent increase in frequency.

Imaging studies including MRI with gadolinium contrast showed a solitary hypotensive spinal cord mass on T1-weighted and a hyperintense mass on T2-weighted images located in the cervicothoracic region (C7-T2). Perfusion MRI sequences showed high blood volume within the mass. Infiltration into surrounding tissue suggested a malignant tumor.

Multidisciplinary meeting recommended surgical removal with safe margins for definitive diagnosis. The mass was surgically removed with intraoperative neurophysiology monitoring (IOM). Surgical excision failed to remove the mass entirely and surgical margins were involved by tumor. The excised tumor measured 4.5 cm. Histopathological examination revealed heterogeneous histology with areas of both low and infiltrating high grade tumor. The high grade areas of the tumor showed highly atypical astrocytes with increased cellularity, nuclear atypia, and increased mitotic activity (Figure 1A-B). The histomorphology was compatible with a high grade astrocytoma and absence of pseudopalisading necrosis or microvascularization ruled out glioblastoma multiforme (GBM). IHC studies showed the tumor cells immunopositive for mesenchymal and glial markers (Vimentin, and glial fibrillary acidic protein “GFAP”) (Figure1C-D), and Immunonegative for neural markers (Synaptophysin, NeuN and neurofibrillary protein. Additional IHC studies included.

Figure 1 Pathological examination of the excised anaplastic astrocytoma Figure

1A: Low power view showing infiltrating astrocytic tumor with heterogeneous histology displaying areas of both low and high grade malignant features (H&E stain X 20). Figure

1B: High power view showing highly atypical astrocytes with increased cellularity, nuclear atypia and increased mitotic activity (H&E stain X 40). Figure

1C: Tumor cells strongly positive for vimentin Figure.

1 (Ki-67), and immunonegative for HMB-45 and S-100. Molecular testing was not performed in this case due to insurance issues. The histomorphologic features, together with IHC studies were diagnostic of Anaplastic Astrocytoma of the Spinal Cord (WHO grade –III). Postoperative treatment included chemotherapy with Temozolomide (TMZ). Because surgery did not completely remove the tumor, additional radiation therapy was utilized five days a week for 6 weeks. Patient expired 9 months after surgery and treatment due to recurrent tumor and respiratory failure.

1D: Tumor cells strongly positive for GFAP

DISCUSSION

Most spinal cord astrocytomas are benign, low-grade tumors that are readily diagnosed with magnetic resonance imaging (MRI). It is important that AA be distinguished from a variety of other CNS tumors and other neurological conditions with similar symptoms, including meningitis and pseudotumor cerebri. Focal or diffuse neurological symptoms may vary by mass location and size. Brain tumors that must be distinguished from AA include oligodendrogliomas, ependymomas, and the various classifications of astrocytomas such as pilocytic astrocytoma and glioblastoma multiforme (GBM). As such, diagnosis of AA is reliant on the use of imaging modalities.

such as MRI or CT along with tissue biopsy in most cases [13]. Histopathological characteristics, immunohistochemistry studies (IHC) and molecular testing is essential to determine different types of CNS tumors. Oligodendrogliomas on histology commonly demonstrate perinuclear halos that give it a “friedegg” appearance on light microscopy [41]. Ependymomas will demonstrate histological features akin to the ependymal cells lining the ventricular system. They are more commonly found in the spinal cord and therefore a key differential in cases of spinal AA. Pilocytic astrocytomas predominately arise in children and young adults and are often identified via Rosenthal fibers and a cystic structure. Difficulty arises in distinguishing GBM and AA due to the numerous histopathological features they share. A key distinguishing factor is the presence of pseudopalisading necrosis in GBM [14]. The WHO classification system is most widely used for grading glial tumors. AA, defined by WHO as a grade III anaplastic glioma, is characterized by increased cellularity, mitotic activity, the presence of glial makers such as GFAP, nuclear atypia, and absence of neuronal markers. Importantly, necrosis or microvascularization is absent. The absence of these two features differentiates AA from GBM. The presence of necrosis or microvascularization is suggestive of a diagnosis of GBM [15]. Studies have also shown a way to differentiate specifically between AA and GBM via a 16-gene signature determined using RT-qPCR [16]. While AA commonly presents as a single CNS mass, cases in which multiple CNS masses are present have also been seen. As such it is important to also consider causes of multiple CNS lesions when it comes to differentials for AA. These causes include toxoplasmosis, brain abscesses, tuberculoma, multiple sclerosis, neurocysticercosis, brain metastases, and primary CNS lymphoma [17].

AA often reveals heterogeneous histology with areas of both low and high grade tumor. This is often seen due to AAs propensity to transform from a lower grade astrocytoma. WHO classifies AA as a grade III anaplastic glioma. AA is characterized by increased cellularity (greater than grade II diffuse astrocytoma), nuclear atypia and pleomorphism, increased mitotic activity, presence of glial markers, and absence of neuronal markers. Histologic evidence of vascular proliferation and necrosis are pathognomonic of GBM, and therefore can help differentiate GBM from AA. Historically, histologic classification and grading of gliomas has poor reproducibility among pathologists and often poorly predicts clinical outcome [18]. Clinicians are increasingly utilizing the molecular classifications of gliomas to guide clinical decision making [19].

There is not a pathognomic molecular marker for AA. However, mutations in TP53 and ATRX occur in up to 70% of AA [20]. Identification of ATRX gene on immunohistology is mutually exclusive with 1p/19q codeletion and TERT proteins. Mutations of the ATRX gene result in a truncated protein and abrogated protein expression. ATRX is a multiprotein complex important in incorporating histones H3.3 into telomeric regions of chromosomes and is one mechanism of telomere maintenance [21]. Mutations of the isocitrate dehydrogenase enzymes (IDH1 and IDH2) play a critical role in the pathogenesis of most AA. The α-ketoglutarate, a key metabolite of the Krebs cycle [21]. The IDH enzymes utilize NAD+ as a cofactor in generating α-ketoglutarate and NADPH in a reversible reaction. The overwhelming majority (95%) of IDH mutations in gliomas affect IDH1 and in particular, the IDH1 R132H genotype [22]. The IDH1 mutations target specific arginine residues resulting in a novel gain-offunction phenotype whereby the mutant enzymes produce high levels of what is ordinarily a minor metabolic product R(- )-2-hydroxyglutarate and NADPH. It is unclear at present the role of 2-hydroxyglutarate in astrocytoma development [23]. Epigenetic silencing of the O6-methyl-guanyl-methyl-transferase (MGMT) DNA repair enzyme gene is associated with longer survival in AA and GBM patients, especially those being treated with alkylating chemotherapy [24]. A 2012 retrospective study by Juratli et al. of 64 cases of anaplastic glioma showed a trend of longer median survival times with MGMT methylation than without (9.7 vs 6.1 years). However, there was no statistical significance between the two groups [25]. A 2009 randomized Phase III trial study of 202 cases of anaplastic glioma by Wick et al. showed MGMT promoter methylation was associated with improved progression-free survival, regardless of treatment option (alkylating chemotherapy agents or radiation therapy). The authors also reported that those with the hypermethylated phenotype were more responsive to radiation therapy [26].

Studies done by The Cancer Genome Atlas (TCGA) [27], Suzuki et al. [28], and Eckel-Passow et al. [29] have provided evidence that utilizing molecular subgroups of AA more accurately predicts prognosis than histology alone. In these studies, subgroups of AA were constructed generally by using 1p/19q codeletion, IDH, TP53, and TERT mutations. However, in contrast to the WHO classifications, there is currently not a well-agreed upon and clear-cut categorization of AA molecular subgroups. These studies were not performed in our case due to insurance issues.

MRI with gadolinium contrast is the gold standard for AA diagnosis and management. AA usually appears as a hypointense mass on T1-weighted and as a hyperintense mass on T2- weighted MRI. AA often has homogeneous signal intensity and has a well-defined margin. Calcifications on imaging are often absent, in contrast to usual oligodendroglioma histology. As well, there is often surrounding vasogenic edema and nodular areas of enhancement in AA. However, around one third of all AA display no contrast enhancement [30]. Perfusion MRI sequences have high sensitivity to distinguish low-grade from high-grade astrocytoma, with high-grade having higher blood volumes [31]. As well, perfusion MRI is superior to MR spectroscopy for grading astrocytoma [32]. Positron emission tomography using the amino acid transport tracers 11C-MET, 18 F-FET, and 18 F-FDOPA reported higher accuracy in primary.

Treatments of anaplastic astrocytoma are multidisciplinary with the first step being surgical resection of the tumor. During the procedure, tumors, particularly those of higher grade, have the characteristic to avidly absorb certain dyes that are given intravenously just before surgery. In this way, the tumor tissue becomes colored by the specific dye, while the normal nervous of what should be resected. Among the most reliable dyes are 5-ALA, which colors the tumor violet, and Fluorescein, which colors the tumor yellow. Conjugate therapies include chemotherapy and radiation. Temozolomide (TMZ) is a well established first line treatment for grade 3 or 4 astrocytoma. It is taken for five days consecutively followed by a rest period of 3 weeks. TMZ is a type of chemotherapy drug called an alkylating agent [34]. Alkylating agents add alkyl groups to DNA, disrupting its structure enough to cause damage and eventually killing the cell. It is possible to predict the tumor’s sensitivity to TMZ by assessing the activity of the MGMT, which is capable of repairing the genetic damage induced by the therapeutic. As discussed earlier, epigenetic silencing of the MGMT DNA repair enzyme gene by promoter methylation is associated with longer survival for AA patients and particularly those treated with alkylating chemotherapy [35]. In addition, Bevacizumab (Avastin), is a drug approved by the FDA for its use in recurrent astrocytomas and glioblastomas. Bevacizumab targets vascular endothelial growth factor (VEGF). Bevacizumab blocks this protein and stops the cancer from growing blood vessels and prevents angiogenesis [36]. The drug is effective in limiting swelling to the nervous tissue and helps improve symptoms. However, unlike TMZ, bevacizumab does not increase long-term survival. Radiation has been a part of astrocytoma treatment for the past 50 years and is extremely effective. Standard protocols consist of small doses of radiation to the lesion of the tumor, five days a week for 6 weeks [37]. In addition to chemotherapeutic drugs, since 2011 the use of tumor treating electrical fields has been used as a supportive therapy [38]. The device produces low current electric fields which have been clinically supported to delay tumor growth. Antiseizure drugs, most commonly levetiracetam (Keppra), is most widely used as seizure prophylaxis and is usually reserved for patients with a previous history of seizure. A review of the recent literature has documented a few cases of spinal cord AA. In one case report, a patient was found to have a primary spinal cord AA that metastasized to the subarachnoid space and later disseminated intracranially [39]. A separate 2020 case report found spinal cord AA in a 17 year old girl in the conus medullaris at the T11-T12 level. Genetic analysis revealed a BRAF V600E

Our current understanding of spinal astrocytoma is limited as the literature revealed small institutional case reports and series. There are currently no universally accepted treatment guidelines for patients with either type of spinal astrocytoma. Thus, the best management strategy remains controversial. Preservation of neurological status is an important treatment goal. The rarity of these tumors resulted in a lack of a standardized management protocol. Multimodal treatments, including surgery and adjuvant therapy, are recommended. It is our hope that this report raises awareness of what remains an unmet need in diagnosis and management of spinal anaplastic astrocytoma and that continued investigation drives further development of efficacious and safe treatments for improving patient outcomes.

ACKNOWLEDGMENT

Special thanks to Mariana Coelho, and Barish Ern, MD candidates, American University of the Caribbean for their assistance in preparing manuscript images and reviewing the final manuscript.

REFERENCES

1. Mario Caccese, Marta Padovan, Domenico D’Avella, Franco Chioffi, Marina Paola Gardiman, et al, Anaplastic Astrocytoma: State of the art        and future directions, Critical Reviews in Oncology/ Hematology, Volume 153,2020,103062, ISSN10408428,  https://doi.org/10.1016/j.critrevonc.2020.103062.

2. Ostrom QT, Gittleman H, Liao P, et al. CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2007–2011. Neuro Oncol. 2014;4(16 Suppl.):iv1–iv63.

3. Mechtler L. Neuroimaging in neuro-oncology. Neurol. Clin. 2009;27(1):171–201. Ix.

4. D.N. Louis, A. Perry, G. Reifenberger, et al. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol. (Berl.), 131 (6) (2016), pp. 803-820, 10.1007/s00401-016-1545-1

5. Mario Caccese, Marta Padovan, Domenico D’Avella, Franco Chioffi, Marina Paola Gardiman, , et al, Anaplastic Astrocytoma: State of the art and future directions, Critical Reviews in Oncology/ Hematology, Volume 153, 2020,103062, ISSN 1040-8428, https://doi. org/10.1016/j.critrevonc.2020.103062.

6. Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, et al. The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol. 2007 Aug; 114(2):97-109.

7. Ostrom QT, Gittleman H, Liao P, et al. CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2007–2011. Neuro Oncol. 2014;4(16 Suppl.):iv1–iv63.

8. Sun M, Wang L, Lu D, Zhao Z, Teng L, Wang W, Piao Y. Concomitant KIAA1549-BRAF fusion and IDH mutation in Pediatric spinal cord astrocytoma: a case report and literature review. Brain Tumor Pathol. 2021 Apr;38(2):132-137. doi: 10.1007/s10014-021-00394-2. Epub 2021 Feb 28. PMID: 33641074.

9. Pojskić, M., Rotim, K., Splavski, B., & Arnautović, K. I. (2020). Microsurgical management of low-grade spinal cord astrocytoma in adults: A personal case series report and brief literature review.. Acta clinica Croatica, 59(3), 505–512. https://doi.org/10.20471/ acc.2020.59.03.15

10.Kyritsis AP et al. Inherited predisposition to glioma. Neuro Oncol, 2010; 12: 104-113

11.Sarica, Feyzi Birol et al. “Five-year follow-up results for patients diagnosed with anaplastic astrocytoma and effectiveness of concomitant therapy with temozolomide for recurrent anaplastic astrocytoma.” Asian journal of neurosurgery vol. 7,4 (2012): 181-90. doi:10.4103/1793-5482.106650.

12.Cohen AR, Wisoff JH, Allen JC, Epstein F. Malignant astrocytomas of the spinal cord. J Neurosurg. 1989;70:50–54.

13.DeAngelis, Lisa M., and Patrick Y. Wen. “Primary and Metastatic Tumors of the Nervous System.” Harrison’s Principles of Internal Medicine, 20e Eds. J. Larry Jameson, et al. McGraw Hill, 2018, https:// accessmedicine-mhmedical-com.aucme 

14.Louis, David N, et al. “Classification and Pathologic Diagnosis of Gliomas.” UpToDate, 19 Nov. 2020, https://www-uptodate-com.aucmed. idm.oclc.org/contents/classification-and-pathologic-diagnosisof-gliomas?search=anaplastic%20astrocytoma&source=search_ result&selectedTitle=2~19&usage_type=default&display_rank=2. Accessed 2 Jan. 2022.

15.Louis DN, Ohgaki H, Wiestler OD, et al. The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol. 2007;114(2):97–109.

16.Rao SA, Srinivasan S, Patric IR, Hegde AS, Chandramouli BA, Arimappamagan A, Santosh V, Kondaiah P, Rao MR, Somasundaram K. A 16-gene signature distinguishes anaplastic astrocytoma from glioblastoma. PLoS One. 2014 Jan 24;9(1):e85200. doi: 10.1371/ journal.pone.0085200. PMID: 24475040; PMCID: PMC3901657

17.Sethi, Pooja et al. “The Mystery of Multiple Masses: A Case of Anaplastic Astrocytoma.” Cureus vol. 9,6 e1384. 23 Jun. 2017, doi:10.7759/ cureus.1384

18. Coons SW, Johnson PC, Scheithauer BW, Yates AJ, Pearl DK. Improving diagnostic accuracy and interobserver concordance in the classification and grading of primary gliomas. Cancer. 1997 Apr 1; 79(7):1381-93.

19.Theeler BJ, Yung WK, Fuller GN, De Groot JF. Moving toward molecular classification of diffuse gliomas in adults. Neurology. 2012 Oct 30; 79(18):1917-26.

20.Watanabe K, Sato K, Biernat W, Tachibana O, von Ammon K, Ogata N, Yonekawa Y, et al . Incidence and timing of p53 mutations during astrocytoma progression in patients with multiple biopsies. Clin Cancer Res. 1997 Apr; 3(4):523-30.

21.Grimm, Sean A; Chamberlain, Marc C (2016). Anaplastic astrocytoma. CNS Oncology, cns-2016-0002–. doi:10.2217/cns-2016-0002

22.Yan H, Parsons DW, Jin G et al. IDH1 and IDH2 mutations in gliomas. N. Engl. J. Med. 360(8), 765–773 (2009).

23.Bleeker FE, Atai NA, Lamba S et al. The prognostic IDH1(R132) mutation is associated with reduced NADP+-dependent IDH activity in glioblastoma. Acta Neuropathol. 119(4), 487–494 (2010). ] and [Dang L, White DW, Gross S et al. Cancer associated IDH1 mutations produce 2-hydroxyglutarate. Nature 462(7274), 739–744 (2009).

24.Esteller M, Garcia-Foncillas J, Andion E, Goodman SN, Hidalgo OF, et al. Inactivation of the DNA-repair gene MGMT and the clinical response of gliomas to alkylating agents. N Engl J Med. 2000 Nov 9; 343(19):1350-4.

25.Juratli TA, Kirsch M, Geiger K, Klink B, Leipnitz E, et al, The prognostic value of IDH mutations and MGMT promoter status in secondary highgrade gliomas. D. J Neurooncol. 2012 Dec; 110(3):325-33.

26.Wick W, Hartmann C, Engel C, Stoffels M, Felsberg J, Stockhammer F, et al, M.NOA-04 randomized phase III trial of sequential radiochemotherapy of anaplastic glioma with procarbazine, lomustine, and vincristine or temozolomide. J Clin Oncol. 2009 Dec 10; 27(35):5874-80.

27.Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Cancer Genome Atlas Research Network. Nature. 2008 Oct 23; 455(7216):1061-8.

28.Suzuki H, Aoki K, Chiba K, Sato Y, Shiozawa Y, Shiraishi Y, Shimamura et al. Mutational landscape and clonal architecture in grade II and III gliomas. Nat Genet. 2015 May; 47(5):458-68.

29.Eckel-Passow JE, Lachance DH, Molinaro AM, Walsh KM, Decker PA, Sicotte H, et al, RBGlioma Groups Based on 1p/19q, IDH, and TERT Promoter Mutations in Tumors. N Engl J Med. 2015 Jun 25; 372(26):2499-508.

30.Mechtler L. , Neuroimaging in neuro-oncology. Neurol Clin. 2009 Feb; 27(1):171-201, ix.

31.N. Morita, S. Wang, S. Chawla, H.Poptani, E.R. Melhem. Dynamic susceptibility contrast perfusion weighted imaging in grading of nonenhancing astrocytomas. J. Magn. Reson. Imaging JMRI,

32 (4) (2010), pp. 803-808, 10.1002/jmri.22324 32.M. Law, S. Yang, H. Wang, et al. Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR Am. J. Neuroradiol., 24 (10) (2003), pp. 1989-1998

33.N.L. Albert, M. Weller, B. Suchorska, et al. Response Assessment in Neuro-Oncology working group and European Association for NeuroOncology recommendations for the clinical use of PET imaging in gliomas. NeuroOncol, 18 (9) (2016), pp. 1199-1208, 10.1093/neuonc/ now058

34.Burger, P.C., Vogel, F.S., Green, S.B. and Strike, T.A. (1985), Glioblastoma multiforme and anaplastic astrocytoma pathologic criteria and prognostic implications. Cancer, 56: 1106-1111. https://doi.org/10.1002/1097-0142(19850901)56:53.0.CO;2-2

35.Phillips HS, Kharbanda S, Chen R et al. Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell 9(3), 157–173 (2006)

36.Chamberlain MC, Johnston S. Salvage chemotherapy with bevacizumab for recurrent alkylator-refractory anaplastic astrocytoma. J Neurooncol. 2009 Feb;91(3):359-67. doi: 10.1007/s11060-008- 9722-2. Epub 2008 Oct 25. PMID: 18953491.

37.Tan, AC, Ashley, DM, López, GY, Malinzak, M, Friedman, HS, Khasraw, M. Management of glioblastoma: State of the art and future directions. CA Cancer J Clin. 2020: 70: 299- 312. https://doi.org/10.3322/ caac.21613

38.Strowd, Roy E et al. “The role of temozolomide in the management of patients with newly diagnosed anaplastic astrocytoma: a comparison of survival in the era prior to and following the availability of temozolomide.” Journal of neuro-oncology vol. 127,1 (2016): 165-71. doi:10.1007/s11060-015-2028-2

39.Jeong, Seong Man et al. “Intracranial dissemination from spinal cord anaplastic astrocytoma.” Journal of Korean Neurosurgical Society vol. 47,1 (2010): 68-70. doi:10.3340/jkns.2010.47.1.68

40.Takamiya S, Hatanaka KC, Ishi Y, Seki T, Yamaguchi S. Spinal cord anaplastic astrocytoma with BRAF V600E mutation: A case report and review of literature. Neuropathology. 2020 Jun;40(3):275-279. doi: 10.1111/neup.12636.

41.Mahmoudzadeh S, Parrill A, Tsao T, Eaton K, Sheplay K, Aziz M et al. (2021). Oligodendroglioma with Anaplastic Features, Cas

Citation

Gonia J, Comeau J, Gill H, Kung A, Treihaft A, et al. (2022) Anaplastic Astrocytoma of the Spinal Cord. Case Report of Uncommon Tumor and Brief Review of the Literature. SM J Neurol Neurosci 8: 5.

Other Articles

Article Image 1

Brain-derived neurotrophic factor (BDNF) Val66Met polymorphism and Obsessive Compulsive Disorder Risk

Brain-Derived Neurotrophic Factor (BDNF) is required for neuron growth and maintenance. Single nucleotide polymorphisms (SNP) are reported in BDNF gene, which reduces proteins activity, Val66Met polymorphism is very well studied and reported as a risk factor for psychiatric diseases. Numerous case-control studies have evaluated the role BDNF Val 66Met (dbSNP: rs6265;196G>A) polymorphism in OCD susceptibility and provided ambiguous findings, hence present meta-analysis was designed to get an exact association between BDNF Val66Met polymorphism and OCD risk. A total of 14 case - control articles were identified through PubMed, Google Scholar, Science Direct and Springer link databases search, up to July 11, 2024. Odds ratios (ORs) with 95% con¬fidence intervals (CIs) were used as association measure. All statistical analyses were done by MetaDiSc (version 1.4).

Fourteen case-control studies involving 2,765 OCD cases and 5,585 controls were included in present meta-analysis. The results showed that the BDNF Val66Met polymorphism was not associated with OCD risk (allele contrast odds ratio ORAvsG = 0.96, 95% CI= 0.82-1.12, p= 0.000; homozygote ORAAvsGG = = 0.79, 95%CI= 0.59-1.06, p= 0.0058; dominant model ORAA+GAvsGG = 0.96, 95%CI= 0.86-1. 06, p= 0.17). In conclusion, the BDNF Val66Met polymorphism was not related to increased OCD susceptibility.

Vandana Rai, Pradeep Kumar, and Abhishek Kannojiya*


Article Image 1

The F-Wave and H-Reflex Patterns with Increased Stimulus Intensity in Patients with Cerebrovascular Disease for the Neurological Evaluation of Affected Arm or Leg

The F-wave is a result of α-motor neurons backfiring following an antidromic invasion of propagated impulses across the axon hillock.

Suzuki T*


Article Image 1

A Typical Anatomy of the Hand Representation in Adults who Stutter

Atypical hand preference may be more common in Adults Who Stutter (AWS). One implication is that stuttering may be a manifestation of a more general dysfunction in motor organization and planning. This study was designed to determine whether AWS have atypical motor cortical anatomy compared to controls, and whether there are group differences in handedness that correlate with anatomical measures. Volumetric MRI was used to measure the anterior bank of the Central Sulcus (CS) and Motor Knob (MK), a structure that corresponds precisely to the motor hand representation, in Adults Who Stutter (AWS) and fluent, matched controls divided into three groups (right-handed and left-handed men, right-handed women). There was an interaction between fluency group and handedness-sex group (p=0.024) with reduced CS volume in right-handed men who stutter (p=0.001). For MK volume there was an interaction with the right MK larger in the left-handed male controls, and the left MK larger in the left-handed AWS (p=0.024). AWS and controls did not differ in hand preference score or finger tapping rate. There was a relationship between CS asymmetry and finger-tapping laterality (p=0.042) with a faster right-hand tapping speed associated with a larger left CS and vice-versa. When controls were examined independently, there were no correlations between finger-tapping laterality and anatomical asymmetry; there was a correlation in the AWS (r= 0.642; p= 0.007). Left hander AWS tapped faster with the right hand and had a larger left CS (atypical). One subgroup of right handed AWS (atypical) tapped faster with the left hand and had a larger right CS. Another subgroup of right handed AWS (typical) tapped faster with the right hand and had a larger left CS. These results show that handedness may systematically influence cortical motor representations in AWS. Further study is warranted in a larger sample of adults and in children who stutter.

Foundas LA¹*, Baucom CC², Knaus TA³, and Corey DM⁴


Article Image 1

Ischemic Stroke at Jordan University Hospital: A One-Year Hospital-Based Study of Subtypes and Risk Factors

Objective: To study the ischemic stroke subtypes and risk factors in 100 patients observed at Jordan University Hospital (JUH) over a one-year-period, and to compare the results with another 100 age-and –sex matched controls as well as with studies from other Arab countries.

Methods: One hundred patients with first-ever ischemic stroke admitted to JUH over a one-year period (between January 2013 to January 2014) were studied.

Results: There were 62 males and 38 females (M/F ratio=1. 6), with a mean age of 66 years (range 22-90 years), the majority (80/100) between the age 51-80 years. The most common stroke subtype was lacunar infarcts (36 patients). Fourty-two out of 51 patients had intracranial atherosclerosis. The most common risk factor was hypertension (85%) followed by hyperlipidemia (71%) and diabetes mellitus (65%).

Conclusion: In accordance with other Arab studies and controls, hypertension was the predominant risk factor but lacunar infarcts were more common than in most reports from other Arab countries . This shows the importance of appropriate management of hypertension to reduce the incidence of stroke in Jordan.

Bahou Y*, Ajour M, and Jaber M


Article Image 1

Longitudinal Language Changes Associated with MRI Anatomy in Children with Autism Spectrum Disorder

Background: Language ability is one of the strongest predictors of prognosis and developmental course in Autism Spectrum Disorder (ASD). A range of language abilities occur in ASD and although many have delays in language it remains unclear why some children’s language continues to lag, while others do not. Abnormal anatomy and function of language-related regions has been found in ASD, however, how these differences relate to language development over time is undetermined.

Methods: This study examined longitudinal changes in language functions in children with ASD and investigated whether cortical language region anatomy was related to these changes in language. Eighteen boys with ASD, 2-8 years old were evaluated (Time 1) and re-examined about 3.5 years later (Time 2) at ages 7-10. MRIs were collected at Time 2 to evaluate gray matter volume of anterior (Pars Triangularis, PTR; pars opercularis, POP) and posterior (Planum Temporale, PT; Posterior Superior Temporal Gyrus, pSTG) language regions and the microstructure of the arcuate fasciculus.

Results: Eleven boys had relative decline in language functions (decline group) and 7 boys had no relative change in language (no change group). The no change group had larger PT and right PTR volume relative to the decline group. In addition, the right PTR was correlated with the language change score, with larger right PTR associated with less language decline. There was a trend for non-right-handers to have more language decline than right-handers.

Conclusions: Results suggest differences in cortical language anatomy may play a role in language development, with further studies warranted.

Tracey A Knaus¹˒²*, Jodi Kamps³˒⁴, and Anne L Foundas⁵


Article Image 1

A New Analysis Method of F-Waves to Obtain

From the observation of different F-wave waveforms, we introduce a new method of differentiating these waveforms, by assigning each with an “F-wave waveform value”, which can be used in the clinic to evaluate the effects of rehabilitation. F-wave waveform values were determined by creating a window from minimum onset latency to maximum onset latency in measurable waveforms. We then calculated the correlation coefficient of each waveform, using Microsoft Excel, and identified F-waves as those with a correlation coefficient of greater than 0.9 or equal to 1.0. The number of different F-wave waveforms types was determined from the number of identified waveforms. We applied F-wave waveform values to evaluate neurophysiological change and the effects of rehabilitation following hemiplegia. In the future, F-wave waveform values should be considered as an important tool when assessing the effects of rehabilitation on impaired neurological responses.

Toshiaki Suzuki¹˒²*, Yoshibumi Bunno¹˒², Makiko Tani¹˒², Chieko Onigata², Yuuki Fukumoto¹, Marina Todo², Hirofumi Watanabe³, Toshihiro Ohnuma¹˒²˒³, and Naoko Komatsu³


Article Image 1

Neuroprotective Effect of Organic and Conventional White Grape Juice against Carbon Tetrachloride Damage in Different Brain Areas of Rats

The consumption of nutrients containing phenolic compounds has been reported due to the benefits they produce on human health. Therefore, the objective of this study was to investigate the antioxidant and neuroprotective effect of the administration of organic (OGJ) and conventional (CGJ) white grape juices from Niagara variety on the oxidative stress in cerebral cortex, hippocampus and cerebellum after the treatment with carbon tetrachloride (CCl4 ) as well as on some biochemical parameters in serum of rats. Adult male rats (~300g; n=6-8/group) were orally treated (gavage) with 7μL/g of OGJ, CGJ or water, for a period of 14 days. On the 15th day it was administered CCl4 (3.0mL/kg). After 4h the animals were euthanized and the cerebral cortex, hippocampus and cerebellum were dissected and used for the analysis of oxidative stress parameters. We observed that CCl4 enhanced lipid peroxidation (TBARS) and protein damage (carbonyl), reduced the nonenzymatic antioxidants defenses (sulfhydryl), and changed the activity of the enzymatic antioxidants defenses catalase (CAT), Superoxide Dismutase (SOD) in the brain of rats. CCl4 also enhanced glucose, Alanine Aminotransferase (ALT), Aspartate Aminotransferase (AST) and Gamma-Glutamyl (GGT) and decreased total cholesterol and High-Density Lipoprotein (HDL) in serum of rats. CGJ and OGJ were able to prevent or ameliorate most of these alterations. Consequently, regular intake of white grape juice could be considered as an adjuvant in the therapy of oxidative damages, revealing a possible antioxidant and neuroprotective agent.

Clarice M. Peripolli, Tatiane Gabardo, Fernanda de Souza Machado, Mariane Wohlenberg, Juliana D.O. Lima, Alice S. Oliveira, Marina Rocha Frusciante, Niara da Silva Medeiros, Sheila Pereira Feijó, Filipe V.V. Nascimento, Caroline Dani, and Cláudia Funchal


Article Image 1

Global Evidence for the Key Role of the Dopamine D2 Receptor Gene (DRD2) and DRD2 Receptors in Alcoholism

It has been over 27 years since Blum & Noble discovered the first association of the DRD2 A1 allele in severe alcoholism, suggesting reward as the real phenotype, not alcoholism. This has been acknowledged by an explosion of research in the arena of Psychiatric Genetics. To date, a PubMed search listed 6,839 studies (5-15- 17). The A1 allele has been associated with substance use disorders other than alcoholism, including cocaine, nicotine dependence, polysubstance abuse and many Reward Deficiency Syndrome (RDS) behaviors substance and non-substance related. Certainly following extensive controversy, the emerging evidence suggests that the DRD2 is a reinforcement or reward gene. In fact, it could represent one of the most prominent single-gene determinants of susceptibility to severe substance abuse/reward deficiency. While, however, the environment through epigenetic impact and other genes, when combined, still play the larger role, targeting the DRD2 gene through the novel genetic rewriting of the DNA code at the mRNA level may hold the greatest promise to date for potentially “curing” the RDS phenotype.

Kenneth Blum¹⁻⁹˒¹²*, Mark S Gold²˒¹⁵, Lloyd G Mitchell¹⁰˒¹¹, Kareem W Washington¹⁰, David Baron², Panayotis K Thanos¹³, Bruce Steinberg¹⁴, Edward J Modestino¹⁴, Lyle Fried⁷, and Rajendra D Badgaiyan¹²


Article Image 1

Depression in Alzheimer

Background: Pharmacological treatment for AD and depression are unfortunately few and of limited efficacy to cure the disease.

Objectives: To assess the combined effects of rivastigmine and citalopram on Alzheimer’s Disease.

Methods: Longitudinal clinical prospective study with 1278 AD patients on rivastigmine 9,5mg/patch and citalopram 20-40 mg/day over 48 months was assessed on the basis of NINCDS-ADRDA, MMSE, DSM-IV, FRSSD, GDS, HRS-D and follow up of the patients.

Results: Four years after the baseline assessment, there were no significant differences in MMSE, Geriatric depression scale and Hamilton rating scale for depression between patients treated with rivastigmine alone or combined rivastigmine with citalopram with or without depression (p>0.05). Functional Rating Scale for symptoms of dementia, Activities of Daily Living of patients with AD and depression treated with rivastigmine was significantly worse than patients treated with rivastigmine and no depression (p=0.027).

Conclusions: The combination of rivastigmine and citalopram had no better results than rivastigmine alone in patients with AD.

Magda Tsolaki*, Krishna Prasad Pathak, Eleni Verikouki, Chaido Zchou Messini, Tara Gaire, and Paschalis Devranis


Article Image 1

Anxiety and Its Features in Parkinson

Anxiety is one of the most clinically significant psychiatric syndromes in Parkinson’s Disease (PD). It is estimated to affect up to 50% of individuals with PD and is associated with higher levels of dependency and poorer quality of life. Although it is common, it remains widely under recognised by patients, carers and clinicians, and has not been extensively studied [1]. Therefore, in spite of its significant impact, the symptomatology, chronology, and neurobiology of anxiety in PD are not well understood.

Recently, anxiety in PD has been associated with increases in motor fluctuations and gait disturbances including freezing. Freezing of gait (FOG) is the temporary inability to walk and is one of the most debilitating symptoms of PD. It is associated with an increase in falls, injuries and dependency. The associations with motor symptoms have significant consequences for the quality of life of people living with PD. This review summarizes the most recent data on the epidemiology, associated features and possible mechanisms underlying anxiety in PD.

Perri Carlson-Hawke¹˒²*, Belinda Brown², and Simon Hammond¹