Previous Article in Journal
Evaluation of Microsatellite Instability via High-Resolution Melt Analysis in Colorectal Carcinomas
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

“Comprehensive Analysis of Factors Influencing Recurrence and Survival in Glioblastoma: Implications for Treatment Strategies”: A Single Center Study †

1
Department of Pathology and Laboratory Medicine, Lenox Hill Hospital, New York, NY 10075, USA
2
Qatar Metabolic Institute, Hamad Medical Corporation, Doha 3050, Qatar
3
Molecular Genetic Pathology Division, Mount Sinai Hospital, New York, NY 10029, USA
4
Department of Hematology and Medical Oncology, Lenox Hill Hospital, New York, NY 10075, USA
5
Department of Medical Biochemistry, Zagazig University, Zagazig 7120001, Egypt
6
Department of Radiology, Lenox Hill Hospital, New York, NY 10075, USA
7
Zagazig University Hospital, Zagazig 7120001, Egypt
8
Department of Pathology and Laboratory Medicine, Staten Island University Hospital, New York, NY 10305, USA
9
Sakhi Baba General Hospital, Sukkur 06533, Pakistan
10
Department of Gastroenterology, Bahria University Health Sciences, Karachi 44000, Pakistan
*
Author to whom correspondence should be addressed.
This Abstract Was Presented at the 112th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP), New Orleans, LA, USA, 11 March 2023.
J. Mol. Pathol. 2024, 5(4), 520-532; https://doi.org/10.3390/jmp5040035
Submission received: 11 September 2024 / Revised: 20 November 2024 / Accepted: 28 November 2024 / Published: 30 November 2024

Abstract

Glioblastoma is a highly aggressive malignancy affecting the brain and central nervous system. It is the most common malignant primary brain tumor, yet its prognosis remains poor. Median survival typically ranges from around 13 months with standard treatment to up to 19.9 months in some recent clinical trials. Despite advances in treatment, the aggressive nature of glioblastoma continues to present significant challenges for improving patient outcomes. This study aimed to analyze various biological, radiological, and molecular factors associated with glioblastoma recurrence and to estimate survival outcomes. A total of 104 glioblastoma patients diagnosed between January 2017 and September 2022 were included. Patient demographics, treatment received, and molecular characteristics were obtained from the Electronic Patient Record (EPR). Tumor molecular characteristics were analyzed using the OnkoSight Advanced CNS NGS panel. Statistical analyses were performed to develop a prognostic model for glioblastoma recurrence and estimate survival rates. Among the patients, 65.4% had no recurrence, with a mean age of 63 years. No gender or BMI differences were observed, but ages <60 years were associated with recurrence. Radiological findings showed no significant differences in tumor size, necrosis, site, or focality. In multivariate analysis, the female gender, obesity, old age (>60 years), or bifocal tumors were associated with decreased glioblastoma recurrence. However, factors like tumor site, size, necrosis, MGMT promoter methylation, and EGFR alteration showed no significant association with recurrence. Median survival was 12 months, with older age significantly associated with shorter survival. Tumor sizes >4 cm showed shorter survival trends but not statistically significantly. Patients who lived longer experienced more tumor recurrence incidents. Standard or non-standard treatments were associated with longer median survival compared to no treatment. Our findings provide insights into factors influencing glioblastoma recurrence and survival. Age, gender, and tumor characteristics play pivotal roles in recurrence. Understanding these factors could aid in optimizing treatment strategies and improving patient outcomes. However, further multicentric investigations are needed to validate these findings. This study emphasizes the importance of considering biological and radiological factors in clinical decision-making for glioblastoma cases.
Keywords: glioblastoma recurrence; IDH-wild type glioblastoma recurrence; IDH-wild type

Share and Cite

MDPI and ACS Style

Bendari, A.; Sham, S.; Hammoud, H.; Vele, O.; Baskovich, B.; Huang, D.; Bendari, A.; Saks, R.; Al-Refai, R.; Bendari, T.; et al. “Comprehensive Analysis of Factors Influencing Recurrence and Survival in Glioblastoma: Implications for Treatment Strategies”: A Single Center Study. J. Mol. Pathol. 2024, 5, 520-532. https://doi.org/10.3390/jmp5040035

AMA Style

Bendari A, Sham S, Hammoud H, Vele O, Baskovich B, Huang D, Bendari A, Saks R, Al-Refai R, Bendari T, et al. “Comprehensive Analysis of Factors Influencing Recurrence and Survival in Glioblastoma: Implications for Treatment Strategies”: A Single Center Study. Journal of Molecular Pathology. 2024; 5(4):520-532. https://doi.org/10.3390/jmp5040035

Chicago/Turabian Style

Bendari, Ahmed, Sunder Sham, Hamed Hammoud, Oana Vele, Brett Baskovich, David Huang, Alaa Bendari, Rachel Saks, Reham Al-Refai, Tasneem Bendari, and et al. 2024. "“Comprehensive Analysis of Factors Influencing Recurrence and Survival in Glioblastoma: Implications for Treatment Strategies”: A Single Center Study" Journal of Molecular Pathology 5, no. 4: 520-532. https://doi.org/10.3390/jmp5040035

APA Style

Bendari, A., Sham, S., Hammoud, H., Vele, O., Baskovich, B., Huang, D., Bendari, A., Saks, R., Al-Refai, R., Bendari, T., Kataw, L., Kiran, F., Anjali, F., Kumar, S. K., & Harshan, M. (2024). “Comprehensive Analysis of Factors Influencing Recurrence and Survival in Glioblastoma: Implications for Treatment Strategies”: A Single Center Study. Journal of Molecular Pathology, 5(4), 520-532. https://doi.org/10.3390/jmp5040035

Article Metrics

Back to TopTop