Modeling Therapy-Driven Evolution of Glioblastoma with Patient-Derived Xenografts

被引:10
|
作者
McCord, Matthew [1 ]
Bartom, Elizabeth [2 ]
Burdett, Kirsten [3 ]
Baran, Aneta [4 ]
Eckerdt, Frank D. [4 ]
Balyasnikova, Irina, V [4 ,5 ,6 ]
McCortney, Kathleen [6 ]
Sears, Thomas [6 ]
Cheng, Shi-Yuan [4 ,5 ,7 ]
Sarkaria, Jann N. [8 ]
Stupp, Roger [4 ,5 ,7 ]
Heimberger, Amy B. [4 ,5 ,6 ]
Ahmed, Atique [4 ,5 ,6 ]
James, Charles David [4 ,5 ,6 ]
Horbinski, Craig [1 ,4 ,5 ,6 ]
机构
[1] Northwestern Univ, Dept Pathol, Feinberg Sch Med, Chicago, IL 60611 USA
[2] Northwestern Univ, Dept Biochem & Mol Genet, Feinberg Sch Med, Chicago, IL 60611 USA
[3] Northwestern Univ, Dept Prevent Med, Feinberg Sch Med, Chicago, IL 60611 USA
[4] Northwestern Univ, Robert H Lurie Comprehens Canc Ctr, Feinberg Sch Med, Chicago, IL 60611 USA
[5] Lou & Jean Malnati Brain Tumor Inst Northwestern, Chicago, IL 60611 USA
[6] Northwestern Univ, Dept Neurol Surg, Feinberg Sch Med, Chicago, IL 60611 USA
[7] Northwestern Univ, Dept Neurol, Feinberg Sch Med, Chicago, IL 60611 USA
[8] Mayo Clin, Dept Radiat Oncol, Rochester, MN 55905 USA
关键词
CNS cancers; gliomas; glioblastomas; tumor evolution; DNA damage and repair; chemotherapy; drug resistance; preclinical models; xenograft models; MISMATCH REPAIR; TEMOZOLOMIDE RESISTANCE; ADJUVANT TEMOZOLOMIDE; MSH6; MUTATIONS; PHASE-III; LOMUSTINE; COMBINATION; INHIBITION; GLIOMAS; GROWTH;
D O I
10.3390/cancers14225494
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Glioblastoma (GBM) is the most common and aggressive adult-type diffusely infiltrating glioma. These tumors invariably develop resistance to standard treatment with radiation and temozolomide, leading to recurrence and almost always fatal outcomes. In vivo models of such recurrences are limited, and new therapies for recurrent GBM are usually tested on therapy-naive preclinical models, which do not accurately predict outcomes in clinical trials. Experimental therapies which are effective against therapy-naive tumor models in mice often fail to achieve survival benefit in patients with recurrent, therapy-resistant GBMs. In this study, we developed multiple treatment-resistant GBM models by exposing patient-derived xenografts (PDX) of GBM to radiation and temozolomide. These therapy-resistant PDX reflect key genetic and phenotypic features of recurrent GBM in patients. These PDX models are stable and expandable, and can serve as a valuable tool for testing new therapies in a setting that more accurately models GBM that recurs after front-line therapy. Adult-type diffusely infiltrating gliomas, of which glioblastoma is the most common and aggressive, almost always recur after treatment and are fatal. Improved understanding of therapy-driven tumor evolution and acquired therapy resistance in gliomas is essential for improving patient outcomes, yet the majority of the models currently used in preclinical research are of therapy-naive tumors. Here, we describe the development of therapy-resistant IDH-wildtype glioblastoma patient-derived xenografts (PDX) through orthotopic engraftment of therapy naive PDX in athymic nude mice, and repeated in vivo exposure to the therapeutic modalities most often used in treating glioblastoma patients: radiotherapy and temozolomide chemotherapy. Post-temozolomide PDX became enriched for C>T transition mutations, acquired inactivating mutations in DNA mismatch repair genes (especially MSH6), and developed hypermutation. Such post-temozolomide PDX were resistant to additional temozolomide (median survival decrease from 80 days in parental PDX to 42 days in a temozolomide-resistant derivative). However, temozolomide-resistant PDX were sensitive to lomustine (also known as CCNU), a nitrosourea which induces tumor cell apoptosis by a different mechanism than temozolomide. These PDX models mimic changes observed in recurrent GBM in patients, including critical features of therapy-driven tumor evolution. These models can therefore serve as valuable tools for improving our understanding and treatment of recurrent glioma.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] MODELING IMMUNOCOMPETENT TUMOR MICROENVIRONMENT IN GLIOBLASTOMA PATIENT-DERIVED ORTHOTOPIC XENOGRAFTS
    Moreno-Sanchez, P. M.
    Oudin, A.
    Yabo, Y. A.
    Klein, E.
    Baus, V
    Poli, A.
    Michelucci, A.
    Niclou, S. P.
    Golebiewska, A.
    [J]. NEURO-ONCOLOGY, 2022, 24
  • [2] Utility of Glioblastoma Patient-Derived Orthotopic Xenografts in Drug Discovery and Personalized therapy
    Patrizii, Michele
    Bartucci, Monica
    Pine, Sharon R.
    Sabaawy, Hatem E.
    [J]. FRONTIERS IN ONCOLOGY, 2018, 8
  • [3] CHARACTERIZATION OF PATIENT-DERIVED TUMOR SPHERES AND XENOGRAFTS FOR GLIOBLASTOMA
    Kijima, Noriyuki
    Kanematsu, Daisuke
    Shofuda, Tomoko
    Yoshioka, Ema
    Handa, Yukako
    Moriuchi, Shusuke
    Nonaka, Masahiro
    Okita, Yoshiko
    Tsuyuguchi, Naohiro
    Fukai, Junya
    Higuchi, Yuichiro
    Suemizu, Hiroshi
    Kanemura, Yonehiro
    [J]. NEURO-ONCOLOGY, 2017, 19 : 258 - 258
  • [4] Establishment and Characterisation of Heterotopic Patient-Derived Xenografts for Glioblastoma
    Meneceur, Sarah
    Linge, Annett
    Meinhardt, Matthias
    Hering, Sandra
    Loeck, Steffen
    Buetof, Rebecca
    Krex, Dietmar
    Schackert, Gabriele
    Temme, Achim
    Baumann, Michael
    Krause, Mechthild
    von Neubeck, Claere
    [J]. CANCERS, 2020, 12 (04)
  • [5] Modeling of Patient-Derived Xenografts in Colorectal Cancer
    Katsiampoura, Anastasia
    Raghav, Kanwal
    Jiang, Zhi-Qin
    Menter, David G.
    Varkaris, Andreas
    Morelli, Maria P.
    Manuel, Shanequa
    Wu, Ji
    Sorokin, Alexey V.
    Rizi, Bahar Salimian
    Bristow, Christopher
    Tian, Feng
    Airhart, Susan
    Cheng, Mingshan
    Broom, Bradley M.
    Morris, Jeffrey
    Overman, Michael J.
    Powis, Garth
    Kopetz, Scott
    [J]. MOLECULAR CANCER THERAPEUTICS, 2017, 16 (07) : 1435 - 1442
  • [6] Assessing therapy response in patient-derived xenografts
    Ortmann, Janosch
    Rampasek, Ladislav
    Tai, Elijah
    Mer, Arvind Singh
    Shi, Ruoshi
    Stewart, Erin L.
    Mascaux, Celine
    Fares, Aline
    Pham, Nhu-An
    Beri, Gangesh
    Eeles, Christopher
    Tkachuk, Denis
    Ho, Chantal
    Sakashita, Shingo
    Weiss, Jessica
    Jiang, Xiaoqian
    Liu, Geoffrey
    Cescon, David W.
    O'Brien, Catherine A.
    Guo, Sheng
    Tsao, Ming-Sound
    Haibe-Kains, Benjamin
    Goldenberg, Anna
    [J]. SCIENCE TRANSLATIONAL MEDICINE, 2021, 13 (620)
  • [7] CHARACTERIZATION OF PATIENT-DERIVED PRIMARY CELL LINES AND XENOGRAFTS FOR GLIOBLASTOMA
    Kijima, Noriyuki
    Kanematsu, Daisuke
    Shofuda, Tomoko
    Nonaka, Masahiro
    Iwata, Ryoichi
    Fukai, Junya
    Inoue, Akihiro
    Sasayama, Takashi
    Tsuyuguchi, Naohiro
    Kawashima, Toshiyuki
    Higuchi, Yuichiro
    Suemizu, Hiroshi
    Mori, Kanji
    Kishima, Haruhiko
    Kanemura, Yonehiro
    [J]. NEURO-ONCOLOGY, 2019, 21 : 262 - 262
  • [8] Generation of Glioblastoma Patient-Derived Intracranial Xenografts for Preclinical Studies
    Kerstetter-Fogle, Amber E.
    Harris, Peggy L. R.
    Brady-Kalnay, Susann M.
    Sloan, Andrew E.
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (14) : 1 - 12
  • [9] Modeling Patient-Derived Glioblastoma with Cerebral Organoids
    Linkous, Amanda
    Balamatsias, Demosthenes
    Snuderl, Matija
    Edwards, Lincoln
    Miyaguchi, Ken
    Milner, Teresa
    Reich, Batsheva
    Cohen-Gould, Leona
    Storaska, Andrew
    Nakayama, Yasumi
    Schenkein, Emily
    Singhania, Richa
    Cirigliano, Stefano
    Magdeldin, Tarig
    Lin, Ying
    Nanjangud, Gouri
    Chadalavada, Kalyani
    Pisapia, David
    Liston, Conor
    Fine, Howard A.
    [J]. CELL REPORTS, 2019, 26 (12): : 3203 - +
  • [10] MODELING TEMOZOLOMIDE RESISTANCE WITH GLIOBLASTOMA PATIENT DERIVED XENOGRAFTS
    James, C. David
    Ahmed, Atique
    Sonabend, Adam
    Horbinski, Craig
    Stupp, Roger
    [J]. NEURO-ONCOLOGY, 2018, 20 : 46 - 47