Brain Tumors: From Molecular Basis to Therapy

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neuro-oncology".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 950

Special Issue Editors


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Guest Editor
1. Radiation Oncology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Viale Bracci, 16, 53100 Siena, Italy
2. Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA, USA
Interests: brain tumors; stereotactic radiosurgery; radiobiology; combined treatments; gliomas; brain metastases; molecular markers
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Guest Editor
1. Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome, Policlinico Umberto I, Rome, Italy
2. IRCCS Neuromed, Pozzilli, IS, Italy
Interests: neuro-oncology; radiotherapy in CNS cancers; radiosurgery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The landscape of brain tumor research is rapidly evolving, driven by the urgent need to improve diagnosis, treatment and patient outcomes. Brain tumors, ranging from benign to highly malignant, present significant clinical challenges due to their complex biology and the critical nature of their location. Despite advances in medical research, many aspects of brain tumor pathology, genetics and therapeutic response remain poorly understood. This Special Issue aims to address these gaps by fostering a deeper understanding of the molecular underpinnings of brain tumors and translating these insights into innovative therapeutic strategies. By tackling core problems such as tumor heterogeneity, resistance to conventional therapies and the blood–brain barrier's limiting effects on drug delivery, we strive to pave the way for breakthroughs that can transform patient care. To advance our knowledge and develop effective treatments, this Special Issue will encompass a wide range of topics, including, but not limited to, the following:

  • Molecular and Genetic Basis of Brain Tumors: Investigations into the genetic mutations, signaling pathways and molecular mechanisms driving tumor initiation and progression.
  • Innovative Diagnostic Techniques: Development and validation of novel biomarkers, imaging technologies and diagnostic tools that enhance the early detection and accurate classification of brain tumors.
  • Therapeutic Advances: Exploration of cutting-edge treatments, including targeted therapies, immunotherapies and personalized medicine approaches tailored to individual tumor profiles.
  • Overcoming Therapeutic Resistance: Studies addressing the mechanisms behind resistance to current treatments and strategies to overcome these barriers.
  • Drug Delivery Systems: Innovations in delivering therapeutic agents across the blood–brain barrier, enhancing the efficacy and safety of brain tumor treatments.
  • Clinical Trials and Translational Research: Reports on clinical trials, case studies and translational research that bridge the gap between laboratory findings and clinical application.

We invite researchers, clinicians and scholars from across the globe to contribute their original research, review articles and case studies to this Special Issue. Your expertise and insights are crucial in advancing our understanding of brain tumors and developing effective therapies. By participating in this Special Issue, you will join a collaborative effort to address some of the most pressing challenges in brain tumor research and treatment.

Dr. Paolo Tini
Dr. Giuseppe Minniti
Guest Editors

Manuscript Submission Information

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Keywords

  • brain tumors
  • molecular pathways
  • targeted therapy
  • diagnostic biomarkers
  • predictive biomarkers
  • therapeutic resistance

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Published Papers (1 paper)

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Research

12 pages, 1009 KiB  
Article
The Systemic Inflammation Response Index Efficiently Discriminates between the Failure Patterns of Patients with Isocitrate Dehydrogenase Wild-Type Glioblastoma Following Radiochemotherapy with FLAIR-Based Gross Tumor Volume Delineation
by Sukran Senyurek, Murat Serhat Aygun, Nulifer Kilic Durankus, Eyub Yasar Akdemir, Duygu Sezen, Erkan Topkan, Yasemin Bolukbasi and Ugur Selek
Brain Sci. 2024, 14(9), 922; https://doi.org/10.3390/brainsci14090922 - 15 Sep 2024
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Abstract
Background/Objectives: The objective of this study was to assess the connection between the systemic inflammation response index (SIRI) values and failure patterns of patients with IDH wild-type glioblastoma (GB) who underwent radiotherapy (RT) with FLAIR-based gross tumor volume (GTV) delineation. Methods: Seventy-one patients [...] Read more.
Background/Objectives: The objective of this study was to assess the connection between the systemic inflammation response index (SIRI) values and failure patterns of patients with IDH wild-type glioblastoma (GB) who underwent radiotherapy (RT) with FLAIR-based gross tumor volume (GTV) delineation. Methods: Seventy-one patients who received RT at a dose of 60 Gy to the GTV and 50 Gy to the clinical target volume (CTV) and had documented recurrence were retrospectively analyzed. Each patient’s maximum distance of recurrence (MDR) from the GTV was documented in whichever plane it extended the farthest. The failure patterns were described as intra-GTV, in-CTV/out-GTV, distant, and intra-GTV and distant. For analytical purposes, the failure pattern was categorized into two groups, namely Group 1, intra-GTV or in-CTV/out-GTV, and Group 2, distant or intra-GTV and distant. The SIRI was calculated before surgery and corticosteroid administration. A receiver operating characteristic (ROC) curve analysis was used to determine the optimal SIRI cut-off that distinguishes between the different failure patterns. Results: Failure occurred as follows: intra-GTV in 40 (56.3%), in-CTV/out-GTV in 4 (5.6%), distant in 18 (25.4%), and intra-GTV + distant in 9 (12.7%) patients. The mean MDR was 13.5 mm, and recurrent lesions extended beyond 15 mm in only seven patients. Patients with an SIRI score ≥ 3 demonstrated a significantly higher incidence of Group 1 failure patterns than their counterparts with an SIRI score < 3 (74.3% vs. 50.0%; p = 0.035). Conclusions: The present results show that using the SIRI with a cut-off value of ≥3 significantly predicts failure patterns. Additionally, the margin for the GTV can be safely reduced to 15 mm when using FLAIR-based target delineation in patients with GB. Full article
(This article belongs to the Special Issue Brain Tumors: From Molecular Basis to Therapy)
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