Literature DB >> 34202449

A Systems Approach to Brain Tumor Treatment.

James H Park1, Adrian Lopez Garcia de Lomana2, Diego M Marzese3, Tiffany Juarez4, Abdullah Feroze5, Parvinder Hothi6,7, Charles Cobbs6,7, Anoop P Patel5,8,9, Santosh Kesari4, Sui Huang1, Nitin S Baliga1,10.   

Abstract

Brain tumors are among the most lethal tumors. Glioblastoma, the most frequent primary brain tumor in adults, has a median survival time of approximately 15 months after diagnosis or a five-year survival rate of 10%; the recurrence rate is nearly 90%. Unfortunately, this prognosis has not improved for several decades. The lack of progress in the treatment of brain tumors has been attributed to their high rate of primary therapy resistance. Challenges such as pronounced inter-patient variability, intratumoral heterogeneity, and drug delivery across the blood-brain barrier hinder progress. A comprehensive, multiscale understanding of the disease, from the molecular to the whole tumor level, is needed to address the intratumor heterogeneity resulting from the coexistence of a diversity of neoplastic and non-neoplastic cell types in the tumor tissue. By contrast, inter-patient variability must be addressed by subtyping brain tumors to stratify patients and identify the best-matched drug(s) and therapies for a particular patient or cohort of patients. Accomplishing these diverse tasks will require a new framework, one involving a systems perspective in assessing the immense complexity of brain tumors. This would in turn entail a shift in how clinical medicine interfaces with the rapidly advancing high-throughput (HTP) technologies that have enabled the omics-scale profiling of molecular features of brain tumors from the single-cell to the tissue level. However, several gaps must be closed before such a framework can fulfill the promise of precision and personalized medicine for brain tumors. Ultimately, the goal is to integrate seamlessly multiscale systems analyses of patient tumors and clinical medicine. Accomplishing this goal would facilitate the rational design of therapeutic strategies matched to the characteristics of patients and their tumors. Here, we discuss some of the technologies, methodologies, and computational tools that will facilitate the realization of this vision to practice.

Entities:  

Keywords:  brain metastases; glioblastoma; intratumoral heterogeneity; precision medicine; systems biology

Year:  2021        PMID: 34202449     DOI: 10.3390/cancers13133152

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  7 in total

Review 1.  Prognostic/predictive markers in systemic therapy resistance and metastasis in breast cancer.

Authors:  Evthokia A Hobbs; Natalie Chen; Alphi Kuriakose; Elizabeth Bonefas; Bora Lim
Journal:  Ther Adv Med Oncol       Date:  2022-07-16       Impact factor: 5.485

2.  Sulforaphane Causes Cell Cycle Arrest and Apoptosis in Human Glioblastoma U87MG and U373MG Cell Lines under Hypoxic Conditions.

Authors:  Giulia Sita; Agnese Graziosi; Patrizia Hrelia; Fabiana Morroni
Journal:  Int J Mol Sci       Date:  2021-10-18       Impact factor: 5.923

3.  Genomic and Transcriptomic Profiling of Brain Metastases.

Authors:  Christopher P Wardell; Emilie Darrigues; Annick De Loose; Madison P Lee; Murat Gokden; Issam Makhoul; Alan J Tackett; Analiz Rodriguez
Journal:  Cancers (Basel)       Date:  2021-11-09       Impact factor: 6.639

4.  Spatial organization of heterogeneous immunotherapy target antigen expression in high-grade glioma.

Authors:  Michael E Barish; Lihong Weng; Dina Awabdeh; Yubo Zhai; Renate Starr; Massimo D'Apuzzo; Russell C Rockne; Haiqing Li; Behnam Badie; Stephen J Forman; Christine E Brown
Journal:  Neoplasia       Date:  2022-05-09       Impact factor: 6.218

5.  Purple sweet potato delphinidin-3-rutin represses glioma proliferation by inducing miR-20b-5p/Atg7-dependent cytostatic autophagy.

Authors:  Meng Wang; Ke Liu; Huimin Bu; Hao Cong; Guokai Dong; Nana Xu; Changgen Li; Yunyun Zhao; Fei Jiang; Yongjing Zhang; Bo Yuan; Rongpeng Li; Jihong Jiang
Journal:  Mol Ther Oncolytics       Date:  2022-07-31       Impact factor: 6.311

6.  Profiling Glioblastoma Cases with an Expression of DCX, OLIG2 and NES.

Authors:  Adrian Odrzywolski; Bożena Jarosz; Michał Kiełbus; Ilona Telejko; Dominik Ziemianek; Sebastian Knaga; Radosław Rola
Journal:  Int J Mol Sci       Date:  2021-12-08       Impact factor: 5.923

7.  Chromatin insulation dynamics in glioblastoma: challenges and future perspectives of precision oncology.

Authors:  Borja Sesé; Miquel Ensenyat-Mendez; Sandra Iñiguez; Pere Llinàs-Arias; Diego M Marzese
Journal:  Clin Epigenetics       Date:  2021-07-31       Impact factor: 6.551

  7 in total

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