Literature DB >> 30902924

Glioblastoma heterogeneity and the tumour microenvironment: implications for preclinical research and development of new treatments.

Sally L Perrin1, Michael S Samuel1,2, Barbara Koszyca3, Michael P Brown1,2,4, Lisa M Ebert5, Mariana Oksdath5, Guillermo A Gomez5.   

Abstract

Glioblastoma is the deadliest form of brain cancer. Aside from inadequate treatment options, one of the main reasons glioblastoma is so lethal is the rapid growth of tumour cells coupled with continuous cell invasion into surrounding healthy brain tissue. Significant intra- and inter-tumour heterogeneity associated with differences in the corresponding tumour microenvironments contributes greatly to glioblastoma progression. Within this tumour microenvironment, the extracellular matrix profoundly influences the way cancer cells become invasive, and changes to extracellular (pH and oxygen levels) and metabolic (glucose and lactate) components support glioblastoma growth. Furthermore, studies on clinical samples have revealed that the tumour microenvironment is highly immunosuppressive which contributes to failure in immunotherapy treatments. Although technically possible, many components of the tumour microenvironment have not yet been the focus of glioblastoma therapies, despite growing evidence of its importance to glioblastoma malignancy. Here, we review recent progress in the characterisation of the glioblastoma tumour microenvironment and the sources of tumour heterogeneity in human clinical material. We also discuss the latest advances in technologies for personalised and in vitro preclinical studies using brain organoid models to better model glioblastoma and its interactions with the surrounding healthy brain tissue, which may play an essential role in developing new and more personalised treatments for this aggressive type of cancer.
© 2019 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society.

Entities:  

Keywords:  brain organoids; clinical trials; glioblastoma; patient-derived tumour biopsies; tumour microenvironment

Mesh:

Year:  2019        PMID: 30902924     DOI: 10.1042/BST20180444

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  36 in total

1.  Development of Pyrazolo[3,4-d]pyrimidine Kinase Inhibitors as Potential Clinical Candidates for Glioblastoma Multiforme.

Authors:  Chiara Greco; Vincenzo Taresco; Amanda K Pearce; Catherine E Vasey; Stuart Smith; Ruman Rahman; Cameron Alexander; Robert J Cavanagh; Francesca Musumeci; Silvia Schenone
Journal:  ACS Med Chem Lett       Date:  2020-02-13       Impact factor: 4.345

2.  Radio-Pathomic Maps of Cell Density Identify Brain Tumor Invasion beyond Traditional MRI-Defined Margins.

Authors:  S A Bobholz; A K Lowman; M Brehler; F Kyereme; S R Duenweg; J Sherman; S D McGarry; E J Cochran; J Connelly; W M Mueller; M Agarwal; A Banerjee; P S LaViolette
Journal:  AJNR Am J Neuroradiol       Date:  2022-04-14       Impact factor: 3.825

Review 3.  Cellular Conversations in Glioblastoma Progression, Diagnosis and Treatment.

Authors:  Ali Karimi Sisakht; Mohammad Malekan; Farbod Ghobadinezhad; Seyedeh Negar Mousavi Firouzabadi; Ameneh Jafari; Seyed Mohammad Ali Mirazimi; Banafshe Abadi; Rana Shafabakhsh; Hamed Mirzaei
Journal:  Cell Mol Neurobiol       Date:  2022-04-11       Impact factor: 5.046

4.  Patient-Derived Tumor Organoids for Guidance of Personalized Drug Therapies in Recurrent Glioblastoma.

Authors:  Miriam Ratliff; Hichul Kim; Hao Qi; Minsung Kim; Bosung Ku; Daniel Dominguez Azorin; David Hausmann; Rajiv K Khajuria; Areeba Patel; Elena Maier; Loic Cousin; Arnaud Ogier; Felix Sahm; Nima Etminan; Lukas Bunse; Frank Winkler; Victoria El-Khoury; Michael Platten; Yong-Jun Kwon
Journal:  Int J Mol Sci       Date:  2022-06-12       Impact factor: 6.208

5.  Prognostic utility of lncRNAs (LINC00565 and LINC00641) as molecular markers in glioblastoma multiforme (GBM).

Authors:  Rehab G Amer; Lobna R Ezz El Arab; Dalia Abd El Ghany; Amr S Saad; Nermean Bahie-Eldin; Menha Swellam
Journal:  J Neurooncol       Date:  2022-06-06       Impact factor: 4.506

6.  A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma.

Authors:  Sakthi Lenin; Elise Ponthier; Kaitlin G Scheer; Erica C F Yeo; Melinda N Tea; Lisa M Ebert; Mariana Oksdath Mansilla; Santosh Poonnoose; Ulrich Baumgartner; Bryan W Day; Rebecca J Ormsby; Stuart M Pitson; Guillermo A Gomez
Journal:  Int J Mol Sci       Date:  2021-04-21       Impact factor: 5.923

Review 7.  Approaches to PET Imaging of Glioblastoma.

Authors:  Lindsey R Drake; Ansel T Hillmer; Zhengxin Cai
Journal:  Molecules       Date:  2020-01-28       Impact factor: 4.411

8.  DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images.

Authors:  Amin Zadeh Shirazi; Eric Fornaciari; Narjes Sadat Bagherian; Lisa M Ebert; Barbara Koszyca; Guillermo A Gomez
Journal:  Med Biol Eng Comput       Date:  2020-03-02       Impact factor: 2.602

9.  Secreted protein acidic and rich in cysteine mediates active targeting of human serum albumin in U87MG xenograft mouse models.

Authors:  Cho Rong Park; Jung Hwan Jo; Myung Geun Song; Ji Yong Park; Young-Hwa Kim; Hyewon Youn; Sun Ha Paek; June-Key Chung; Jae Min Jeong; Yun-Sang Lee; Keon Wook Kang
Journal:  Theranostics       Date:  2019-10-11       Impact factor: 11.556

Review 10.  In Vitro Glioblastoma Models: A Journey into the Third Dimension.

Authors:  Mayra Paolillo; Sergio Comincini; Sergio Schinelli
Journal:  Cancers (Basel)       Date:  2021-05-18       Impact factor: 6.639

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.