Alaa Bendari
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Alaa Bendari has a total of 20 co-authors. Here are the top co-authors by number of shared publications:
- Brett Baskovich
Department of Pathology and Laboratory Medicine, Molecular Genetic Pathology Division, Mount Sinai Hospital, New York, NY 10029, USA
2 shared publications - Ahmed Bendari
Department of Pathology and Laboratory Medicine Lenox Hill Hospital New York NY USA
1 shared publication - Ahmed Bendari
Department of Pathology and Laboratory Medicine, Montefiore Medical Center, Bronx, NY 10467, USA
1 shared publication - David Huang
Department of Hematology and Medical Oncology, Lenox Hill Hospital, New York, NY 10075, USA
1 shared publication - Fnu Anjali
Sakhi Baba General Hospital, Sukkur 06533, Pakistan
1 shared publication - Fnu Kiran
Department of Pathology and Laboratory Medicine, Staten Island University Hospital, New York, NY 10305, USA
1 shared publication
Latest Publications
- Open Access
- 19 October 2025
- Published by MDPI AG in Gastroenterology Insights
- Vol. 16 (4) , 39
Liquid Biopsy in Pancreatic Ductal Adenocarcinoma: Clinical Utility, Trials, and Future Directions
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy marked by late diagnosis, rapid progression, and poor prognosis, with a 5-year survival rate of 2–9%. Traditional tissue biopsy faces limitations in accessibility and real-time monitoring. Liquid biopsy—a minimally invasive technique analyzing tumor-derived materials such as circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), exosomes, tumor-educated platelets (TEPs), and cell-free RNAs (cfRNAs)—offers dynamic insights into PDAC biology. This review advances beyond the prior literature by offering a unified synthesis that bridges molecular mechanisms, biomarker dynamics, and clinical translation within the context of PDAC. It also summarizes key clinical trials evaluating liquid biopsy in PDAC, underscoring its growing impact on precision oncology.
- 19 October 2025
- Published by MDPI AG in Gastroenterology Insights
- Vol. 16 (4) , 39
Open AccessLiquid Biopsy in Pancreatic Ductal Adenocarcinoma: Clinical Utility, Trials, and Future Directions
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy marked by late diagnosis, rapid progression, and poor prognosis, with a 5-year survival rate of 2–9%. Traditional tissue biopsy faces limitations in accessibility and real-time monitoring. Liquid biopsy—a minimally invasive technique analyzing tumor-derived materials such as circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), exosomes, tumor-educated platelets (TEPs), and cell-free RNAs (cfRNAs)—offers dynamic insights into PDAC biology. This review advances beyond the prior literature by offering a unified synthesis that bridges molecular mechanisms, biomarker dynamics, and clinical translation within the context of PDAC. It also summarizes key clinical trials evaluating liquid biopsy in PDAC, underscoring its growing impact on precision oncology.
- Open Access
- 30 November 2024
- Published by MDPI AG in Journal of Molecular Pathology
- Vol. 5 (4) , 520-532
“Comprehensive Analysis of Factors Influencing Recurrence and Survival in Glioblastoma: Implications for Treatment Strategies”: A Single Center Study
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), 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.
- 30 November 2024
- Published by MDPI AG in Journal of Molecular Pathology
- Vol. 5 (4) , 520-532
Open Access“Comprehensive Analysis of Factors Influencing Recurrence and Survival in Glioblastoma: Implications for Treatment Strategies”: A Single Center Study
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), 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.