Nuclear Factor-Kappa B in Gliomas as a Predictive Factor for Tumor Recurrence – A Clinicopathological Study

Authors

  • Basant H. Sayed Department of Pathology, Cairo University, Cairo, Egypt
  • Samia M. Gabal Department of Pathology, Cairo University, Cairo, Egypt
  • Ahmed M. Abdalaziz Department of Pathology, Cairo University, Cairo, Egypt
  • Dalia Abd El-Kareem Department of Pathology, Cairo University, Cairo, Egypt https://orcid.org/0000-0001-7838-7194

DOI:

https://doi.org/10.3889/oamjms.2023.11085

Keywords:

Gliomas, Glioblastoma, Nuclear Factor-Kappa B, Immunohistochemistry

Abstract

BACKGROUND: Glioma is the most common primary malignant brain tumor. Nuclear factor κB (NF-κB) has emerged as a regulator of the malignant phenotype in glioma, and in particular glioblastoma multiforme, with clear relation to tumor size, recurrence, and invasiveness.

AIM: The aim of the study was to study the analysis of NF-κB expression in gliomas of different histologic types and grades and its correlation with various clinicopathologic indicators.

METHODS: One hundred and ten paraffin blocks of glioma cases classified according to WHO classification into 14 (12.7%) cases of Grade I pilocytic astrocytoma, 27 (24.5%) cases of Grade II gliomas, 26 (23.6%) cases of Grade III gliomas, and 43 (39.1%) cases of Grade IV glioblastoma. The correlations between immunostainings and clinicopathological parameters were analyzed statistically.

RESULTS: Positive immunostaining for NF-κB was encountered in (64/110) 58.2% of gliomas. Statistical analysis revealed significant association between positive NF-κB expression and high histological grade (p < 0.001), recurrence of the tumors (p = 0.001), large tumor size (≥5 cm) (p < 0.001), histological subtypes (glioblastoma represented 51.6% of NF-κB positive cases, while pilocytic astrocytoma represented 1.6% of NF-κB positive cases) (p < 0.001) and age of the patient (≥40) (p = 0.039).

CONCLUSIONS: A strong direct relation between NF-κB expression and the grade of glioma was observed. NF-κB expression behaves as a negative independent prognostic factor for the risk of tumor recurrence. Hence, inhibition of NF-κB may be a new therapeutic strategy to prevent recurrence of gliomas, particularly the high-grade type.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Plum Analytics Artifact Widget Block

References

Mostafizar M, Cortes-Pérez C, Snow W, Djordjevic J, Adlimoghaddam A, Albensi BC. Challenges with methods for detecting and studying the transcription factor nuclear factor kappa B (NF-κB) in the central nervous system. Cells. 2021;10(6):1335. https://doi.org/10.3390/cells10061335 PMid:34071243 DOI: https://doi.org/10.3390/cells10061335

Puliyappadamba VT, Hatanpaa KJ, Chakraborty S, Habib AA. The role of NF-κB in the pathogenesis of glioma. Mol Cell Oncol. 2014;1(3):e963478. https://doi.org/10.4161/23723548.2014.963478 PMid:27308348 DOI: https://doi.org/10.4161/23723548.2014.963478

Cahill KE, Morshed RA, Yamini B. Nuclear factor-κB in glioblastoma: Insights into regulators and targeted therapy. Neuro Oncol. 2015;18(3):329-39. https://doi.org/10.1093/neuonc/nov265 PMid:26534766 DOI: https://doi.org/10.1093/neuonc/nov265

Louis DN, Von Deimling A, Cavenee WK. Diffuse astrocytic and oligodendroglial tumours. In: WHO Classification of Tumours of the Central Nervous System. 4th ed. Lyon: International Agency for Research Centre; 2016. p. 15-56.

Moini J, Piran P. Functional and Clinical Neuroanatomy: A Guide for Health Care Professionals. Cambridge: Academic Press; 2020.

Johnson DR, Giannini C, Kaufmann TJ. Review of WHO 2016 Changes to Classification of Gliomas; Incorporation of Molecular Markers. In: Glioma Imaging. Cham: Springer; 2020. p. 127-38. DOI: https://doi.org/10.1007/978-3-030-27359-0_8

Barakat MK, Belal AM, Fadel SH, Gamal H. Outcome of high grade gliomas in limited resource country (10 years’ experience in Alexandria university oncology center 2003-2012). J Brain Tumors Neurooncol. 2016;1(111):2. https://doi.org/10.4172/2475-3203.1000111 DOI: https://doi.org/10.4172/2475-3203.1000111

Touati S, Djekkoun R, El-Okki ME, Satta D. Epidemiology and survival analyses of 333 adult glioma patients from Eastern Algeria (2008-2016). Afr Health Sci. 2020;20(3):1250-8. https://doi.org/10.4314/ahs.v20i3.29 PMid:33402972 DOI: https://doi.org/10.4314/ahs.v20i3.29

Li K, Lu D, Guo Y, Wang C, Liu X, Liu Y, et al. Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973‐2014. Cancer Med. 2018;7(10):5281-90. https://doi.org/10.1002/cam4.1757 PMid:30175510 DOI: https://doi.org/10.1002/cam4.1757

Rasmussen BK, Hansen S, Laursen RJ, Kosteljanetz M, Schultz H, Nørgård BM, et al. Epidemiology of glioma: Clinical characteristics, symptoms, and predictors of glioma patients grade I-IV in the Danish neuro-oncology registry. J Neurooncol. 2017;135(3):571-9. https://doi.org/10.1007/s11060-017-2607-5 PMid:28861666 DOI: https://doi.org/10.1007/s11060-017-2607-5

Natukka T, Raitanen J, Haapasalo H, Auvinen A. Incidence trends of adult malignant brain tumors in Finland, 1990-2016. Acta Oncol. 2019;58(7):990-6. https://doi.org/10.1080/0284186X.2019.1603396 PMid:30985227 DOI: https://doi.org/10.1080/0284186X.2019.1603396

Silvaggi F, Silvani A, Lamperti EA, Leonardi M. Pathways of follow-up care in an Italian center: Retrospective study on patients with gliomas II and III. Neurol Sci. 2022;43(2):1303-10. https://doi.org/10.1007/s10072-021-05415-8 PMid:34235605 DOI: https://doi.org/10.1007/s10072-021-05415-8

Kurdi M, Butt NS, Baeesa S, Alghamdi B, Maghrabi Y, Bardeesi A, et al. Epidemiological distribution of primary central nervous system tumors in the Western Province of Saudi Arabia: A local registry from neuroscience-affiliated centers. Epidemiol Health. 2021;43:e2021037. https://doi.org/10.4178/epih.e2021037 PMid:34030435 DOI: https://doi.org/10.4178/epih.e2021037

Wang J, Hu G, Quan X. Analysis of the factors affecting the prognosis of glioma patients. Open Med (Wars). 2019;14(1):331-5. https://doi.org/10.1515/med-2019-0031 PMid:30997396 DOI: https://doi.org/10.1515/med-2019-0031

Alimohammadi E, Bagheri SR, Sadeghsalehi A, Rizevandi P, Rezaie Z, Abdi A. Prognostic factors in patients with glioblastoma multiforme: Focus on the pathologic variants. Acta Neurol Belg. 2020;120(6):1341-50. https://doi.org/10.1007/s13760-019-01171-x PMid:31222512 DOI: https://doi.org/10.1007/s13760-019-01171-x

Yang Y, Yao M, Long S, Xu C, Li L, Li Y, et al. Prognostic nomograms for primary high-grade glioma patients in adult: A retrospective study based on the SEER database. Biomed Res Int. 2020;2020:1346340. https://doi.org/10.1155/2020/1346340 PMid:32775408 DOI: https://doi.org/10.1155/2020/1346340

Hewedi I, Ibrahim R, Elserry T, Taha N, Mohamed H, Hassan M, et al. Frequency of primary central nervous system tumors in a tertiary hospital, Cairo, Egypt. J Community Health Manag. 2018;5(3):140-6. https://doi.org/10.18231/2394-2738.2018.0032 DOI: https://doi.org/10.18231/2394-2738.2018.0032

Downloads

Published

2023-01-03

How to Cite

1.
Sayed BH, Gabal SM, Abdalaziz AM, El-Kareem DA. Nuclear Factor-Kappa B in Gliomas as a Predictive Factor for Tumor Recurrence – A Clinicopathological Study. Open Access Maced J Med Sci [Internet]. 2023 Jan. 3 [cited 2024 May 4];11(A):221-7. Available from: https://oamjms.eu/index.php/mjms/article/view/11085