Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients

With diminishing returns and high clinical failure rates from traditional preclinical and animal-based drug discovery strategies, more emphasis is being placed on alternative drug discovery platforms. Ex vivo approaches represent a departure from both more traditional preclinical animal-based models and clinical-based strategies and aim to address intra-tumoural and inter-patient variability at an earlier stage of drug discovery. Additionally, these approaches could also offer precise treatment stratification for patients within a week of tumour resection in order to direct tailored therapy. One tumour group that could significantly benefit from such ex vivo approaches are high-grade gliomas, which exhibit extensive heterogeneity, cellular plasticity and therapy-resistant glioma stem cell (GSC) niches. Historic use of murine-based preclinical models for these tumours has largely failed to generate new therapies, resulting in relatively stagnant and unacceptable survival rates of around 12-15 months post-diagnosis over the last 50 years. The near universal use of DNA damaging chemoradiotherapy after surgical resection within standard-of-care (SoC) therapy regimens provides an opportunity to improve current treatments if we can identify efficient drug combinations in preclinical models that better reflect the complex inter-/intra-tumour heterogeneity, GSC plasticity and inherent DNA damage resistance mechanisms. We have therefore developed and optimised a high-throughput ex vivo drug screening platform; GliExP, which maintains GSC populations using immediately dissociated fresh surgical tissue. As a proof-of-concept for GliExP, we have optimised SoC therapy responses and screened 30+ small molecule therapeutics and preclinical compounds against tumours from 18 different patients, including multi-region spatial heterogeneity sampling from several individual tumours. Our data therefore provides a strong basis to build upon GliExP to incorporate combination-based oncology therapeutics in tandem with SoC therapies as an important preclinical alternative to murine models (reduction and replacement) to triage experimental therapeutics for clinical translation and deliver rapid identification of effective treatment strategies for individual gliomas.

[1]  J. Rantala,et al.  Precision oncology using ex vivo technology: a step towards individualised cancer care? , 2022, Expert Reviews in Molecular Medicine.

[2]  Xiaodan Zhu,et al.  Individualized therapy based on the combination of mini-PDX and NGS for a patient with metastatic AFP-producing and HER-2 amplified gastric cancer , 2022, Oncology letters.

[3]  J. Sarkaria,et al.  Preclinical modeling in GBM PDX xenografts to guide clinical development of lisavanbulin - a novel tumor checkpoint controller targeting microtubules. , 2021, Neuro-oncology.

[4]  H. Wakimoto,et al.  Pre-clinical tumor models of primary brain tumors: Challenges and opportunities. , 2020, Biochimica et biophysica acta. Reviews on cancer.

[5]  J. Kononen,et al.  Ex vivo assessment of targeted therapies in a rare metastatic epithelial–myoepithelial carcinoma , 2020, Neoplasia.

[6]  J. Kononen,et al.  Image-based ex vivo drug screen to assess targeted therapies in recurrent thymoma. , 2020, Lung cancer.

[7]  A. Feuchtinger,et al.  The Intratumoral Heterogeneity Reflects the Intertumoral Subtypes of Glioblastoma Multiforme: A Regional Immunohistochemistry Analysis , 2020, Frontiers in Oncology.

[8]  J. Rich,et al.  Glioblastoma Stem Cells: Driving Resilience through Chaos. , 2020, Trends in cancer.

[9]  Mariella G. Filbin,et al.  An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma , 2019, Cell.

[10]  T. H. Nguyen,et al.  Global, regional, and national burden of brain and other CNS cancer, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 , 2019, The Lancet Neurology.

[11]  S. Collis,et al.  The ‘Ins and Outs’ of Early Preclinical Models for Brain Tumor Research: Are They Valuable and Have We Been Doing It Wrong? , 2019, Cancers.

[12]  R. Stupp,et al.  Improving survival in molecularly selected glioblastoma , 2019, The Lancet.

[13]  Giles W. Robinson,et al.  Challenges to curing primary brain tumours , 2019, Nature Reviews Clinical Oncology.

[14]  Parag G. Patil,et al.  Designing Next‐Generation Local Drug Delivery Vehicles for Glioblastoma Adjuvant Chemotherapy: Lessons from the Clinic , 2019, Advanced healthcare materials.

[15]  George D. Cresswell,et al.  Evolutionary dynamics of residual disease in human glioblastoma , 2018, Annals of oncology : official journal of the European Society for Medical Oncology.

[16]  Jijun Cheng,et al.  Characterization of drug responses of mini patient-derived xenografts in mice for predicting cancer patient clinical therapeutic response , 2018, Cancer communications.

[17]  J. Barnholtz-Sloan,et al.  Adult Glioma Incidence and Survival by Race or Ethnicity in the United States From 2000 to 2014 , 2018, JAMA oncology.

[18]  Shusen Zheng,et al.  Personalized treatment based on mini patient-derived xenografts and WES/RNA sequencing in a patient with metastatic duodenal adenocarcinoma , 2018, Cancer communications.

[19]  Wei Chen,et al.  Guided chemotherapy based on patient-derived mini-xenograft models improves survival of gallbladder carcinoma patients , 2018, Cancer communications.

[20]  Chi Heem Wong,et al.  Estimation of clinical trial success rates and related parameters , 2018, Biostatistics.

[21]  Giulio Superti-Furga,et al.  Image-based ex-vivo drug screening for patients with aggressive haematological malignancies: interim results from a single-arm, open-label, pilot study , 2017, The Lancet. Haematology.

[22]  Brian M Alexander,et al.  Adaptive Global Innovative Learning Environment for Glioblastoma: GBM AGILE , 2017, Clinical Cancer Research.

[23]  N. Potter,et al.  Genetic and Functional Diversity of Propagating Cells in Glioblastoma , 2014, Stem cell reports.

[24]  D. Haussler,et al.  The Somatic Genomic Landscape of Glioblastoma , 2013, Cell.

[25]  D. Stover,et al.  Molecular characterization of patient-derived human pancreatic tumor xenograft models for preclinical and translational development of cancer therapeutics. , 2013, Neoplasia.

[26]  V. P. Collins,et al.  Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics , 2013, Proceedings of the National Academy of Sciences.

[27]  Tzong-Shiue Yu,et al.  A restricted cell population propagates glioblastoma growth following chemotherapy , 2012, Nature.

[28]  Rolf Bjerkvig,et al.  In vivo models of primary brain tumors: pitfalls and perspectives , 2012, Neuro-oncology.

[29]  S. Gabriel,et al.  Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. , 2010, Cancer cell.

[30]  R. Bjerkvig,et al.  A reproducible brain tumour model established from human glioblastoma biopsies , 2009, BMC Cancer.

[31]  R. Mirimanoff,et al.  Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. , 2009, The Lancet. Oncology.

[32]  M. Westphal,et al.  Inhibition of Glioblastoma Growth in a Highly Invasive Nude Mouse Model Can Be Achieved by Targeting Epidermal Growth Factor Receptor but not Vascular Endothelial Growth Factor Receptor-2 , 2008, Clinical Cancer Research.

[33]  Mark W. Dewhirst,et al.  Glioma stem cells promote radioresistance by preferential activation of the DNA damage response , 2006, Nature.

[34]  R. Hruban,et al.  An In vivo Platform for Translational Drug Development in Pancreatic Cancer , 2006, Clinical Cancer Research.

[35]  Martin J. van den Bent,et al.  Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. , 2005, The New England journal of medicine.

[36]  R. Mirimanoff,et al.  MGMT gene silencing and benefit from temozolomide in glioblastoma. , 2005, The New England journal of medicine.

[37]  R. Henkelman,et al.  Identification of human brain tumour initiating cells , 2004, Nature.

[38]  R. Kerbel Human Tumor Xenografts as Predictive Preclinical Models for Anticancer Drug Activity in Humans: Better than Commonly Perceived—But They Can Be Improved , 2003, Cancer biology & therapy.

[39]  M. Dolan,et al.  Activity of temozolomide in the treatment of central nervous system tumor xenografts. , 1995, Cancer research.

[40]  M R Grever,et al.  Preclinical antitumor activity of temozolomide in mice: efficacy against human brain tumor xenografts and synergism with 1,3-bis(2-chloroethyl)-1-nitrosourea. , 1994, Cancer research.

[41]  R. Tamargo,et al.  Interstitial chemotherapy of the 9L gliosarcoma: controlled release polymers for drug delivery in the brain. , 1993, Cancer research.

[42]  Razelle Kurzrock,et al.  Factors associated with failure of oncology drugs in late-stage clinical development: A systematic review. , 2017, Cancer treatment reviews.

[43]  R. Stupp,et al.  Phase II Study of Radiotherapy and Temsirolimus versus Radiochemotherapy with Temozolomide in Patients with Newly Diagnosed Glioblastoma without MGMT Promoter Hypermethylation (EORTC 26082). , 2016, Clinical cancer research : an official journal of the American Association for Cancer Research.

[44]  Mouse Genome Sequencing Consortium Initial sequencing and comparative analysis of the mouse genome , 2002, Nature.