Correlation between Stage and Histopathological Features and Clinical Outcomes in Patients with Glioma Tumors

Authors

  • Andre Lona Department of Neurology, Universitas Sumatera Utara, H. Adam Malik General Hospital, Medan, Indonesia
  • Alfansuri Kadri Department of Neurology, Universitas Sumatera Utara, H. Adam Malik General Hospital, Medan, Indonesia
  • Irina Kemala Nasution Department of Neurology, Universitas Sumatera Utara, H. Adam Malik General Hospital, Medan, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2021.6296

Keywords:

Glioma, Grade, Histopathology, Karnofsky performance status scale

Abstract

BACKGROUND: Brain tumor incidence continues to increase during the last decade in several countries. Determining the response of intracranial tumors to treatment remains a major challenge in the field of neuro-oncology. Karnofsky Performance Status Scale (KPS) is a widely used method for assessing the functional status of a patient.

AIM: This study aims to determine the relationship between stadium and histopathological features with clinical outcomes in patients with glioma tumors.

METHODS: This was an observational analytic study with a retrospective approach at the H. Adam Malik General Hospital in Medan from September 2019 to September 2020. The study population was glioma patients. The research sample was 36 subjects taken consecutively. The independent variables of the study were stage and histopathological features, while the dependent variable of the study was KPS. Statistical analysis with Gamma test.

RESULTS: Mean age was 38.11 ± 13.86 years. Most subjects were male, amounting to 20 subjects (55.6%). The most common type of glioma tumor was anaplastic astrocytoma, amounting to 8 subjects (22.2%). The highest tumor stage was a high-grade glioma, amounting to 19 subjects (52.8%), and the most histopathological features based on WHO criteria were WHO grade 3, totaling 13 subjects (36.1%). Most KPS is 80–100 with 19 subjects (52.8%). There is a significant correlation between the stage and histopathological features with KPS with a moderate correlation strength (p = 0.036; r = 0.598) (p = 0.024; r = 0.508)

CONCLUSION: There is a significant correlation between stage and histopathological features with KPS with moderate correlation strength

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References

Anindita T, dan Wiratman W, editors. Buku Ajar Neurologi. Jakarta: Fakultas Kedokteran Universitas Indonesia; 2017.

Park S, Won J, Kim S, Lee Y, Park C, Kim S, et al. Molecular testing of brain tumour. J Pathol Transl Med 2017;51(3):205-23 PMid:28535583

Shree NV, Kumar TN. Identification and classification of brain tumour MRI images with feature extraction using DWT and probabilistic neural network. Brain Inform. 2018;5(1):23-30. https://doi.org/10.1007/s40708-017-0075-5 PMid:29313301

Derek RJ, Jaeckle KA. Low-grade glioma and oligodendroma in adulthood. In: Neuro-oncology. 1st ed. New Jersey: Blackwell Publishing Ltd.; 2012. p. 76-85.

Kalkanis SN, Rosenblum ML. Malignant glioma. Dalam: Ogden AT, Bruce JN. Pineal Region Tumors. Dalam: Bernstein M, Berger MS. Neuro-Oncology the Essentials. 2nd ed. New York: Thieme; 2008. p. 254-65. https://doi.org/10.1055/b-0034-63653

Soffietti R, Baumert BG, Bello L, von Deimling A, Duffau H, Frénay M, et al. Guidelines on the management of low-grade gliomas: EANO task force report. Eur Assoc Neurol. 2010;17(9):1124-33. https://doi.org/10.1111/j.1468-1331.2010.03151.x PMid:20718851

Diwanji TP, Engleman A, Snider JW, Mohindra P. Epidemiology, diagnosis, andoptimal management of glioma in adolescents and young adults. Adolesc Health Med Ther. 2017;8:99-113. https://doi.org/10.2147/ahmt.s53391 PMid:28989289

Aninditha T, Andriani R, dan Mauleka RG. Kelompok Studi Neuro-Onkologi. Buku Ajar Neuroonkologi. 1st ed. Jakarta: Perhimpunan Dokter Spesialis Saraf Indonesia; 2019. p. 1-209. https://doi.org/10.52386/neurona.v37i4.174

Sanai N, Martino J, Berger MS. Morbidity profile following aggressive resection of parietal lobe gliomas. J Neurosurg. 2012;116(6):1182-6. https://doi.org/10.3171/2012.2.jns111228

Chen H, Judkins J, Thomas C, Golfinos JG, Lein P, Chetkovich DM. Mutant IDH1 and seizures in patients with glioma. Neurology. 2017;88(19):1805-13. https://doi.org/10.1212/wnl.0000000000003911 PMid:28404805

Kim YH, Park CK, Kim TM, Choi SH, Kim YJ, Choi BS, et al. Seizures during the management of high-grade gliomas: Clinical relevance to disease progression. J Neurooncol. 2013;113(1):101-9. https://doi.org/10.1007/s11060-013-1094-6 PMid:23459994

You G, Sha ZY, Yan W, Zhang W, Wang YZ, Li SW, et al. Seizure characteristics and outcomes in 508 resection of low-grade gliomas: A clinicopathological study. Neurooncology. 2012;14(2):230-41. PMid:22187341

Lapointe S, Perry A, Butowski NA. Primary brain tumours in adults. 2018;392(10145):432-46. https://doi.org/10.1016/s0140-6736(18)30990-5 PMid:30060998

Krishnan SS, Muthiah S, Rao S, Salem SS, Madabhushi VC, Mahadevan A. Mindbomb homolog-1 index in the prognosis of high-grade glioma and its clinicopathological correlation. J Neurosci Rural Pract. 2019;10(2):185-93. https://doi.org/10.4103/jnrp.jnrp_374_18 PMid:31001003

Ritarwan K, Nasution IK, Erwin I. Correlation of leukocyte subtypes, neutrohyl lymphocyte ratio, and functional outcome in brain metastasis. Open Access Maced J Med Sci. 2018;6(12):2333-6. https://doi.org/10.3889/oamjms.2018.477 PMid:30607186

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Published

2021-06-18

How to Cite

1.
Lona A, Kadri A, Nasution IK. Correlation between Stage and Histopathological Features and Clinical Outcomes in Patients with Glioma Tumors. Open Access Maced J Med Sci [Internet]. 2021 Jun. 18 [cited 2026 Oct. 18];9(T3):262-4. Available from: https://oamjms.eu/index.php/mjms/article/view/6296