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COMMENTARY
Year : 2021  |  Volume : 16  |  Issue : 1  |  Page : 228-229

Recurrent glioblastoma: Nuances and insights


Department of Neurosurgery, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran

Date of Submission26-Sep-2020
Date of Decision30-Sep-2020
Date of Acceptance01-Oct-2020
Date of Web Publication23-Feb-2021

Correspondence Address:
Dr. Maysam Alimohamadi
Department of Neurosurgery, Sina Hospital, Tehran University of Medical Sciences, Tehran
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ajns.AJNS_395_20

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How to cite this article:
Alimohamadi M, Larijani A. Recurrent glioblastoma: Nuances and insights. Asian J Neurosurg 2021;16:228-9

How to cite this URL:
Alimohamadi M, Larijani A. Recurrent glioblastoma: Nuances and insights. Asian J Neurosurg [serial online] 2021 [cited 2021 Apr 15];16:228-9. Available from: https://www.asianjns.org/text.asp?2021/16/1/228/309648

We reviewed with interest the article entitled as “The impact of surgery on the survival of patients with recurrent glioblastoma” in this issue of AJNS. This case–control study evaluates the impact of surgery on the survival of the patients with recurrent glioblastoma over a 5-year period. One hundred and fifty-seven cases of recurrent glioblastoma are enrolled, and the baseline characteristics and survival of the patients who had at least one new tumor resection followed by chemotherapy (reoperation group, n = 59) are compared with those who received only medical treatment for recurrence (no-reoperation group, n = 98). The study concludes that repeated surgery for those patients with recurrent glioblastoma who have a good functional status (the WHO performance status of 0 or 1 and KPS score > 70) helps achieve prolonged survival with an acceptable complication rate given the overall poor prognosis of glioblastoma multiforme (GBM).

The treatment of recurrent glioblastoma is one of the most challenging issues in neuro-oncology practice. Patients with recurrent GBM usually face a rapid decline in performance status, quality of life, neurocognitive adverse effects from previous treatments, and median overall survival <1 year.[1] Several studies have confirmed a role for performance status, age, focal versus multifocal disease, smaller preoperative tumor size, and favorable tumor location with a greater likelihood of complete and safe resection as predictors of improved survival.[2],[3],[4]

Although re-radiation, repeated resection, antivascular endothelial growth factor (VEGF) agents, and chemotherapy are still the most common used therapies for treating recurrent glioblastoma, the clinical benefit from these treatments is still not well established and is limited due to retrospective study designs and lack of randomization.[5]

There is a growing body of evidence suggesting that a personalized therapeutic approach for the stratification of glioblastoma patients to novel treatment regimens is necessary to improve survival rates for glioblastoma patients. Indeed, genetic profiling of glioblastoma samples has revealed aberrant expression of several potential therapeutic targets including a number of receptor tyrosine kinases (EphA3, EGFR, VEGF, platelet-derived growth factor receptors, and MET),[6],[7] however, there has been variable and limited success rates for clinical application of inhibitors of these targets as anticancer therapy have been reported. This elucidates that a better understanding of the basic biology of GBM is required so that additional targets can be identified. The heterogeneity in glioblastoma is both intertumoral and intratumoral, with each tumor presenting a complex heterogeneous setting of cell biology. The resistance of GBM to current aggressive chemoradiotherapy can be attributed to the tumor's extensive cellular heterogeneity and the presence of multiple subclonal populations that invariably either respond to or escape therapy, regenerating treatment-refractory recurrent tumor. Current models for the study of GBM fail to directly address the problem of GBM recurrence and continue to focus efforts on understanding primary, treatment-naive tumor biology. New models of GBM must address both spatial and temporal intratumoral heterogenicity. A detailed understanding of the evolutionary dynamics of tumor progression will provide insight into the associated molecular genetic mechanisms underlying GBM recurrence.

Despite the promising outlook for personalized therapeutic approaches to treating GBM patients, identification of therapeutics that can cross the BBB, while maintaining therapeutic concentrations, still remains a challenge. Furthermore, although targeted therapies show limited efficacy as single agents, the combination of several targeted therapies may be of benefit to GBM patients. Thus, further studies are required both to identify new therapeutic targets and to design novel therapeutic strategies for the treatment of glioblastoma.

The identification of pathways governing therapy resistance in clonal subpopulations will allow clinicians to offer patients therapeutics that selectively target the specific subclonal populations that drive GBM recurrence in each individual patient, leading to improved prognosis and outcomes.[8]

Last but not least, an interdisciplinary dedicated team, including neuro-oncology, radiology, radiation oncology, and neurosurgery, is needed to manage the patients who suffer from glioblastoma recurrence, a multifaceted problem that needs multidisciplinary management. We would encourage constituting institutional dedicated teams within referral centers for a deep understanding and handling of recurrent glioblastoma.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

 
  References Top

1.
Wick W, Gorlia T, Bendszus M, Taphoorn M, Sahm F, Harting I, et al. Lomustine and Bevacizumab in Progressive Glioblastoma. N Engl J Med 2017;377:1954-63.  Back to cited text no. 1
    
2.
Bloch O, Han SJ, Cha S, Sun MZ, Aghi MK, McDermott MW, et al. Impact of extent of resection for recurrent glioblastoma on overall survival: Clinical article. J Neurosurg 2012;117:1032-8.  Back to cited text no. 2
    
3.
Archavlis E, Tselis N, Birn G, Ulrich P, Zamboglou N. Combined salvage therapies for recurrent glioblastoma multiforme: Evaluation of an interdisciplinary treatment algorithm. J Neurooncol 2014;119:387-95.  Back to cited text no. 3
    
4.
Franceschi E, Bartolotti M, Tosoni A, Bartolini S, Sturiale C, Fioravanti A. The effect of re-operation on survival in patients with recurrent glioblastoma. Anticancer Res. 2015 Mar;35(3):1743-8.  Back to cited text no. 4
    
5.
Chaul-Barbosa C, Marques DF. How We Treat Recurrent Glioblastoma Today and Current Evidence. Curr Oncol Rep 2019;21:94.  Back to cited text no. 5
    
6.
Day BW, Stringer BW, Al-Ejeh F, Ting MJ, Wilson J, Ensbey KS, et al. EphA3 maintains tumorigenicity and is a therapeutic target in glioblastoma multiforme. Cancer Cell 2013;23:238-48.  Back to cited text no. 6
    
7.
An Z, Aksoy O, Zheng T, Fan QW, Weiss WA. Epidermal growth factor receptor and EGFRvIII in glioblastoma: Signaling pathways and targeted therapies. Oncogene 2018;37:1561-75.  Back to cited text no. 7
    
8.
Osuka S, Van Meir EG. Overcoming therapeutic resistance in glioblastoma: The way forward. J Clin Invest 2017;127:415-26.  Back to cited text no. 8
    




 

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