Glejak - aktualna wiedza oraz perspektywy Artykuł przeglądowy
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Opublikowane:
cze 30, 2022
Słowa kluczowe:
glejak wielopostaciowy, onkologia, miRNA, patogeneza, siRNA
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Abstrakt
Glejak wielopostaciowy klasyfikowany jest do grupy najbardziej złośliwych glejaków o IV stopniu złośliwości ze szczególnie niekorzystnymi prognozami związanymi z jego leczeniem. Pojawienie się u pacjenta szybko postępujących objawów zarówno psychiatrycznych, jak i neurologicznych powinno być zawsze dokładnie zbadane. Artykuł ma na celu zebranie oraz podsumowanie aktualnej wiedzy na temat glejaka oraz zaprezentowanie możliwych perspektyw rozwoju metod diagnostyczno-leczniczych. Rozwój glejaka ma zazwyczaj związek z mutacjami w genach EGFR, PTEN, IDH1 lub p53. Do użytecznych narzędzi diagnostycznych należą m.in. badanie MRI, analiza metylacji promotora genu MGMT oraz immunohistochemiczne oznacznie GFAP. W leczeniu glejaków wielopostaciowych najczęściej stosowanym schematem jest protokół Stuppa bazujący na połączeniu radioterapii z chemioterapią temozolomidem. Niemniej jednak, dalsze możliwości leczenia są limitowane. Zintegrowane wysiłki naukowców są ukierunkowane na poszukiwanie nowych strategii leczenia przy użyciu m.in. teraapii CAR-T, nanocząteczek, przeciwciał monoklonalnych, miRNA, siRNA oraz inhibitorów proteasomów
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Bilicki D, Zbrożek M, Fudalej M, Deptała A, Badowska-Kozakiewicz A. Glejak - aktualna wiedza oraz perspektywy. OncoReview [Internet]. 30 czerwiec 2022 [cytowane 24 listopad 2024];12(2(46):35-4. Dostępne na: https://journalsmededu.pl/index.php/OncoReview/article/view/1795
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Dział
PERSONALIZED ONCOLOGY
Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa – Użycie niekomercyjne 4.0 Międzynarodowe.
Copyright: © Medical Education sp. z o.o. This is an Open Access article distributed under the terms of the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). License (https://creativecommons.org/licenses/by-nc/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
Address reprint requests to: Medical Education, Marcin Kuźma (marcin.kuzma@mededu.pl)
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3. Adamson C, Kanu OO, Mehta AI et al. Glioblastoma multiforme: a review of where we have been and where we are going. Expert Opin Investig Drugs. 2009; 18(8): 1061-83.
4. Taylor OG, Brzozowski JS, Skelding KA. Glioblastoma Multiforme: An Overview of Emerging Therapeutic Targets. Front Oncol. 2019; 9: 963.
5. Ostrom QT, Patil N, Cioffi G et al. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2013-2017. Neuro Oncol. 2020; 22(12 suppl 2): iv1-iv96.
6. Batash R, Asna N, Schaffer P et al. Glioblastoma Multiforme, Diagnosis and Treatment; Recent Literature Review. Curr Med Chem. 2017; 24 (27): 3002-9.
7. Ohgaki H, Kleihues P. The definition of primary and secondary glioblastoma. Clin Cancer Res. 2013; 19(4): 764-72.
8. Ludwig K, Kornblum HI. Molecular markers in glioma. J Neurooncol. 2017; 134(3): 505-12.
9. Kim CK, Nguyen TL, Joo KM et al. Negative regulation of p53 by the long isoform of ErbB3 binding protein Ebp1 in brain tumors. Cancer Res. 2010; 70(23): 9730-41.
10. Soomro SH, Ting LR, Qing YY et al. Molecular biology of glioblastoma: Classification and mutational locations. J Pak Med Assoc. 2017; 67(9): 1410-4.
11. Verhaak RG, Hoadley KA, Purdom E et al. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell. 2010; 17(1): 98-110.
12. Alifieris C, Trafalis DT. Glioblastoma multiforme: Pathogenesis and treatment. Pharmacol Ther. 2015; 152: 63-82.
13. Huang Z, Cheng L, Guryanova OA et al. Cancer stem cells in glioblastoma-molecular signaling and therapeutic targeting. Protein Cell. 2010; 1(7): 638-55.
14. Alexander BM, Cloughesy TF. Adult Glioblastoma. J Clin Oncol. 2017; 35 (21): 2402-9.
15. Khandwala K, Mubarak F, Minhas K. The many faces of glioblastoma: Pictorial review of atypical imaging features. Neuroradiol J. 2021; 34(1): 33-41.
16. Cunha M, Maldaun MVC. Metastasis from glioblastoma multiforme: a meta-analysis. Rev Assoc Med Bras. 2019; 65(3): 424-33.
17. Lee EJ, Ahn KJ, Lee EK et al. Potential role of advanced MRI techniques for the peritumoural region in differentiating glioblastoma multiforme and solitary metastatic lesions. Clin Radiol. 2013; 68 (12): e689-697.
18. Nabors LB, Portnow J, Ammirati M et al. Central Nervous System Cancers, Version 1.2015. J Natl Compr Canc Netw. 2015; 13(10): 1191-202.
19. Staller A. Presumed Glioblastoma Multiforme: A Case for Biopsy Prior to Treatment. Clin J Oncol Nurs. 2016; 20(1): 95-7.
20. Figueroa JM, Carter BS. Detection of glioblastoma in biofluids. J Neurosurg. 2018; 129 (2): 334-40.
21. Quddusi A, Shamim MS. Serum biomarkers for glioblastoma multiforme. J Pak Med Assoc. 2019; 69(6): 913-4.
22. Ostrom QT, Bauchet L, Davis FG et al. The epidemiology of glioma in adults: a “state of the science” review. Neuro-Oncology. 2014; 16(7): 896-913.
23. Ellor SV, Pagano-Young TA, Avgeropoulos NG. Glioblastoma: background, standard treatment paradigms, and supportive care considerations. J Law Med Ethics. 2014; 42(2): 171-82.
24. Stummer W, Pichlmeier U, Meinel T et al. Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial. Lancet Oncol. 2006; 7(5): 392-401.
25. Stupp R, Mason WP, van den Bent MJ et al. Radiotherapy plus Concomitant and Adjuvant Temozolomide for Glioblastoma. N Engl J Med. 2005; 352(10): 987-96.
26. Stupp R, Taillibert S, Kanner A et al. Effect of Tumor-Treating Fields Plus Maintenance Temozolomide vs Maintenance Temozolomide Alone on Survival in Patients With Glioblastoma: A Randomized Clinical Trial. JAMA. 2017; 318(23): 2306-16.
27. Ameratunga M, Pavlakis N, Wheeler H et al. Anti-angiogenic therapy for high-grade glioma. Cochrane Database Syst Rev. 2018; 11(11): CD008218- CD008218.
28. Stevens GH. Antiepileptic therapy in patients with central nervous system malignancies. Curr Neurol Neurosci Rep. 2006; 6(4): 311-8.
29. Shao M, Liu W, Wang Y. Differentially expressed LncRNAs as potential prognostic biomarkers for glioblastoma. Cancer Genetics. 2018; 226-7: 23-9.
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