Article
Engineering, Electrical & Electronic
Jingyu Zhu, Jianming Ye, Leshui Dong, Xiaofei Ma, Na Tang, Peng Xu, Wei Jin, Ruipeng Li, Guang Yang, Xiaobo Lai
Summary: Glioblastoma multiforme (GBM) is the most common and deadly primary malignant brain tumor. In this study, we present a multimodal MRI radiomics-based automatic framework for non-invasive prediction of the overall survival (OS) time for GBM patients, which achieves competitive accuracy compared to most typical approaches.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2023)
Article
Medicine, General & Internal
Georgiana Serban, Flaviu Tamas, Rodica Balasa, Doina Manu, Corina Tamas, Adrian Balasa
Summary: This retrospective study assessed the impact of clinical and imaging features on the survival of 75 patients with glioblastoma multiforme (GBM). The results showed that tumor size, pre- and postoperative KPSI had a significant impact on survival rate.
Article
Computer Science, Artificial Intelligence
Ran Su, Xiaoying Liu, Qiangguo Jin, Xiaofeng Liu, Leyi Wei
Summary: A predictive model named DeepRA was developed to accurately predict the molecular subtype and patient overall survival of GBM using deep imaging features and machine learning technologies. Experiments showed that DeepRA outperformed traditional hand-crafted methods and regular convolutional neural networks.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Medicine, General & Internal
Di Zhang, Jixin Luan, Bing Liu, Aocai Yang, Kuan Lv, Pianpian Hu, Xiaowei Han, Hongwei Yu, Amir Shmuel, Guolin Ma, Chuanchen Zhang
Summary: This study compared the performance of radiomics-based machine learning survival models in predicting the prognosis of GBM patients. The results showed that deep learning algorithms based on radiomics outperformed the traditional method in predicting the overall survival of GBM patients, with the DeepSurv model exhibiting the best predictive ability.
FRONTIERS IN MEDICINE
(2023)
Article
Engineering, Biomedical
Zhenyu Tang, Hongda Cao, Yuyun Xu, Qing Yang, Jinda Wang, Han Zhang
Summary: In this study, a novel deep KNN-based OS time prediction method is proposed, which is more robust to data inconsistency and noise compared to end-to-end prediction methods. Moreover, a new inter-modality loss is introduced to extract complementary features from multiple imaging modalities. Experimental results on both an in-house dataset and a public dataset demonstrate that our method outperforms existing methods.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Clinical Neurology
David Fogg, Zachary C. Gersey, Matthew Pease, Arka N. Mallela, Edward Andrews, Tritan Plute, Thomas M. Pearce, Confidence Njoku-Austin, Austin Anthony, Nduka M. Amankulor, Pascal Zinn
Summary: This study investigated whether elderly patients with glioblastoma benefit from the current standard of care and found that for elderly patients with KPS>70, gross total resection followed by radiation and temozolomide is associated with maximum overall survival.
WORLD NEUROSURGERY
(2023)
Article
Oncology
Myung-Hoon Han, Kyueng-Whan Min, Yung-Kyun Noh, Jae Min Kim, Jin Hwan Cheong, Je Il Ryu, Yu Deok Won, Seong-Ho Koh, Jae Kyung Myung, Ji Young Park, Mi Jung Kwon
Summary: This study found that high expression of DKK3 in patients with GBM is associated with increased immunosuppressive response and decreased antitumoral immunity. High DKK3 expression is also correlated with poor prognosis and disease progression in GBM patients. The identification of navitoclax as an agent with potent activity against GBM cell lines with high DKK3 expression suggests that DKK3 could be a therapeutic target in GBM.
CANCER IMMUNOLOGY IMMUNOTHERAPY
(2022)
Review
Medicine, General & Internal
Francisco Revilla-Pacheco, Pamela Rodriguez-Salgado, Monica Barrera-Ramirez, Maria Paula Morales-Ruiz, Mauro Loyo-Varela, Johnatan Rubalcava-Ortega, Tenoch Herrada-Pineda
Summary: The study revealed a weak but statistically significant association between the extent of surgical resection and overall survival in patients with glioblastoma multiforme. However, the evidence level for this association is low and cannot establish a cause-and-effect relationship between these variables.
Review
Clinical Neurology
Syed Faraz Kazim, Erick Martinez, Tyler J. Hough, Benjamin Q. Spangler, Christian A. Bowers, Muhammad Omar Chohan
Summary: The clinical data on the survival benefits of post-operative bacterial infections in GBM patients are conflicting, with plausible explanations from immunobiology for the favorable effect. However, there is no definitive association between postoperative bacterial infection and prolonged survival in GBM patients according to available literature. The development of genetically modified bacteria as part of a multimodal regimen against GBM is supported by immunobiology literature.
FRONTIERS IN NEUROLOGY
(2021)
Article
Oncology
Henry S. Friedman, Michael D. Prados, Patrick Y. Wen, Tom Mikkelsen, David Schiff, Lauren E. Abrey, W. K. Alfred Yung, Nina Paleologos, Martin K. Nicholas, Randy Jensen, James Vredenburgh, Jane Huang, Maoxia Zheng, Timothy Cloughesy
Summary: This study evaluated the efficacy of bevacizumab, alone or in combination with irinotecan, in recurrent glioblastoma patients. The results showed that bevacizumab, either alone or in combination, was well tolerated and active in treating recurrent glioblastoma.
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Oncology
Myung-Hoon Han, Kyueng-Whan Min, Yung-Kyun Noh, Jae Min Kim, Jin Hwan Cheong, Je Il Ryu, Yu Deok Won, Seong-Ho Koh, Young Mi Park
Summary: This study investigated the expression of genes in 10 canonical oncogenic signaling pathways and their relationship to mortality and disease progression in GBM patients. It identified 12 independent genes significantly associated with poor prognosis in GBM and suggested possible mechanisms affecting GBM prognosis.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Jethro L. Hu, Oluwaseun A. Omofoye, Jeremy D. Rudnick, Sungjin Kim, Mourad Tighiouart, Surasak Phuphanich, Hongqiang Wang, Mia Mazer, Toni Ganaway, Ray M. Chu, Chirag G. Patil, Keith L. Black, Stephen L. Shiao, Rongfu Wang, John S. Yu
Summary: The study used an autologous dendritic cell vaccine pulsed with lysate from a GBM stem-like cell line for treating newly diagnosed and recurrent GBM, showing that the treatment was safe and well tolerated. Some patients developed a cytotoxic T-cell response, suggesting the potential role of immunotherapy in the treatment of GBM.
CLINICAL CANCER RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Jinpeng Dai, Feng Qi, Guanzhong Gong, Xiyu Liu, Dengwang Li, Jie Xue
Summary: The paper proposes a hypergraph-based SN P (HSN P) system to describe higher-order relationships among neurons. New rules among neurons are designed to expand the model into planar, hierarchical and transmembrane computations. A new model for predicting the overall survival (OS) time of glioblastoma (GBM) patients is developed based on the HSN P system and evaluated on TCGA-GBM dataset. The HSN P system achieves good performance compared to the six state-of-the-art methods, verifying its effectiveness in predicting the OS time of GBM patients.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Oncology
Myung-Hoon Han, Jae Min Kim, Jin Hwan Cheong, Je Il Ryu, Yu Deok Won, Gun He Nam, Choong Hyun Kim
Summary: The efficacy of CIK immunotherapy for patients with pure GBM was evaluated, showing that it could prolong overall survival and progression-free survival.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Dirk Rades, Jaspar Witteler, Steven E. Schild, Peter Trillenberg, Matteo M. Bonsanto, Jan Leppert
Summary: A new survival score was developed for GBM patients receiving radiotherapy, based on factors like performance status, upfront resection, MGMT promoter methylation, and unifocal GBM. This score was significantly associated with patient survival rates, enabling improved treatment personalization.
ANTICANCER RESEARCH
(2021)
