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Frechette, Kelsey M

0009-0006-5035-3420

Mayo Clinic

Department of Radiation Oncology, Mayo Clinic, Rochester, MN 55905, USA.

Citations 2

Immunotherapy for High-Grade Gliomas
Karbhari, Nishika , Frechette, K.M., Burns, Terry C. , Campian, Jian , Breen, William G. , Sener, Uğur , Lehrer, Eric J. , Frechette, Kelsey M , Sener, Ugur , Burns, Terry C , Karbhari, Nishika , Parney, Ian F.

Cancers | June 2, 2025 | Volume: 17 | Issue: 11 | Pages: 1849

10.3390/cancers17111849 Get It

Background: High-grade gliomas (HGGs), particularly glioblastoma (GBM), are associated with exceptionally high mortality and inevitable recurrence. In considering novel treatment options for these devastating diseases, immunotherapies represent promising candidates. Immunotherapies have demonstrated efficacy for several advanced tumors outside the central nervous system, highlighting a potential role for these agents in treating HGGs. However, multiple challenges to immunotherapy efficacy have tempered therapeutic benefit in practice, including local and systemic immunosuppression, intratumoral heterogeneity, and various mechanisms of intrinsic and acquired resistance. In the past 30 years, diverse immunotherapeutic subclasses have been assessed for benefit against HGGs. Methods: We performed a PubMed search for randomized clinical trials performed within the last 30 years evaluating the following immunotherapy agents for high-grade gliomas: immune checkpoint inhibitors, vaccines, oncologic viruses, cytokines, and CAR T-cells. The present review offers a critical analysis of key pre-clinical and clinical trials that have shaped the immunotherapy landscape for high-grade gliomas over the past two decades. Results/Conclusions: Across the different immunotherapeutic methods and modalities explored thus far, a recurring theme emerges: while therapeutic strategies with a compelling conceptual basis are continually under development and even demonstrate a benefit in preclinical and early-phase trials, larger and later-phase trials consistently fail to produce concordantly significant outcomes. To date, no large-scale clinical trial has demonstrated a benefit of sufficient consequence to change practice. Continued critical appraisal of the strengths and pitfalls of prior investigative work, optimization of treatment development and delivery, and innovative approaches to combination therapy design will collectively be integral to future therapeutic advancement.
Radiotherapy and Systemic Treatment for Leptomeningeal Disease
Frechette, K.M., Breen, William G. , Brown, Paul D. , Sener, Uğur , Webb, Lauren M. , Mahajan, Anita , Lehrer, Eric J. , Frechette, Kelsey M , Sener, Ugur , Webb, Lauren Michelle , Routman, David M. , Laack, Nadia N.

Biomedicines | August 7, 2024 | Volume: 12 | Issue: 8 | Pages: 1792

10.3390/biomedicines12081792 Get It

Leptomeningeal disease (LMD) is a devastating sequelae of metastatic spread that affects approximately 5% of cancer patients. The incidence of LMD is increasing due to advancements in systemic therapy and enhanced detection methods. The purpose of this review is to provide a detailed overview of the evidence in the detection, prognostication, and treatment of LMD. A comprehensive literature search of PUBMED was conducted to identify articles reporting on LMD including existing data and ongoing clinical trials. We found a wide array of treatment options available for LMD including chemotherapy, targeted agents, and immunotherapy as well as several choices for radiotherapy including whole brain radiotherapy (WBRT), stereotactic radiosurgery (SRS), and craniospinal irradiation (CSI). Despite treatment, the prognosis for patients with LMD is dismal, typically 2–4 months on average. Novel therapies and combination approaches are actively under investigation with the aim of improving outcomes and quality of life for patients with LMD. Recent prospective data on the use of proton CSI for patients with LMD have demonstrated its potential survival benefit with follow-up investigations underway. There is a need for validated metrics to predict prognosis and improve patient selection for patients with LMD in order to optimize treatment approaches.