The clinical value of patient-derived glioblastoma tumorspheres in predicting treatment response

被引:56
|
作者
D'Alessandris, Quintino Giorgio [1 ]
Biffoni, Mauro [2 ]
Martini, Maurizio [3 ]
Runci, Daniele [2 ]
Buccarelli, Mariachiara [2 ]
Cenci, Tonia [3 ]
Signore, Michele [2 ]
Stancato, Louis [4 ]
Olivi, Alessandro [1 ]
De Maria, Ruggero [2 ]
Larocca, Luigi M. [3 ]
Ricci-Vitiani, Lucia [2 ]
Pallini, Roberto [1 ]
机构
[1] Univ Cattolica Sacro Cuore, Inst Neurosurg, Largo Agostino Gemelli 8, I-00168 Rome, Italy
[2] Ist Super Sanita, Dept Hematol Oncol & Mol Med, Viale Regina Elena 299, I-00161 Rome, Italy
[3] Univ Cattolica Sacro Cuore, Inst Pathol, Rome, Italy
[4] Eli Lilly & Co, Lilly Corp Ctr, Indianapolis, IN 46285 USA
关键词
cancer stem cells; glioblastoma; radiotherapy; temozolomide; treatment outcome; CANCER STEM-CELL; TEMOZOLOMIDE; DIFFERENTIATION; RADIOTHERAPY; NEUROSPHERE; INHIBITION; PROGNOSIS; CULTURES;
D O I
10.1093/neuonc/now304
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background. Advances from glioma stemlike cell (GSC) research, though increasing our knowledge of glioblastoma (GBM) biology, do not influence clinical decisions yet. We explored the translational power of GSC-enriched cultures from patient-derived tumorspheres (TS) in predicting treatment response. Methods. The relationship between TS growth and clinical outcome was investigated in 52 GBMs treated with surgical resection followed by radiotherapy and temozolomide (TMZ). The effect on TS of radiation (6 to 60 Gy) and of TMZ (3.9 mu M to 1 mM) was related with patients' survival. Results. Generation of TS was an independent factor for poor overall survival (OS) and poor progression-free survival (PFS) (P < .0001 and P = .0010, respectively). Growth rate and clonogenicity of TS predicted poor OS. In general, TS were highly resistant to both radiation and TMZ. Resistance to TMZ was stronger in TS with high clonogenicity and fast growth (P < .02). Shorter PFS was associated with radiation LD 50 (lethal dose required to kill 50% of TS cells) > 12 Gy of matched TS (P = .0484). A direct relationship was found between sensitivity of TS to TMZ and patients' survival (P = .0167 and P = .0436 for OS and PFS, respectively). Importantly, values for TMZ half-maximal inhibitory concentration < 50 mu M, which are in the range of plasma levels achieved in vivo, identified cases with longer OS and PFS (P = .0020 and P = .0016, respectively). Conclusions. Analysis of TS holds translational relevance by predicting the response of parent tumors to radiation and, particularly, to TMZ. Dissecting the clonogenic population from proliferating progeny in TS can guide therapeutic strategies to a more effective drug selection and treatment duration.
引用
收藏
页码:1097 / 1108
页数:12
相关论文
共 50 条
  • [41] Patient-derived organoids model treatment response of metastatic gastrointestinal cancers
    Vlachogiannis, Georgios
    Hedayat, Somaieh
    Vatsiou, Alexandra
    Jamin, Yann
    Fernandez-Mateos, Javier
    Khan, Khurum
    Lampis, Andrea
    Eason, Katherine
    Huntingford, Ian
    Burke, Rosemary
    Rata, Mihaela
    Koh, Dow-Mu
    Tunariu, Nina
    Collins, David
    Hulkki-Wilson, Sanna
    Ragulan, Chanthirika
    Spiteri, Inmaculada
    Moorcraft, Sing Yu
    Chau, Ian
    Rao, Sheela
    Watkins, David
    Fotiadis, Nicos
    Bali, Maria
    Darvish-Damavandi, Mahnaz
    Lote, Hazel
    Eltahir, Zakaria
    Smyth, Elizabeth C.
    Begum, Ruwaida
    Clarke, Paul A.
    Eltahir, Zakaria
    Smyth, Elizabeth C.
    Begum, Ruwaida
    Clarke, Paul A.
    Hahne, Jens C.
    Dowsett, Mitchell
    de Bono, Johann
    Workman, Paul
    Sadanandam, Anguraj
    Fassan, Matteo
    Sansom, Owen J.
    Eccles, Suzanne
    Starling, Naureen
    Braconi, Chiara
    Sottoriva, Andrea
    Robinson, Simon P.
    Cunningham, David
    Valeri, Nicola
    SCIENCE, 2018, 359 (6378) : 920 - +
  • [42] EX VIVO SIGNATURE OF PSYCHOSIS AND TREATMENT RESPONSE IN PATIENT-DERIVED NEURONS
    Karmacharya, Rakesh
    Watmuff, Bradley
    Kathuria, Annie
    Liu, Bangyan
    SCHIZOPHRENIA BULLETIN, 2018, 44 : S400 - S400
  • [43] Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning
    Mourragui, Soufiane M. C.
    Loog, Marco
    Vis, Daniel J.
    Moore, Kat
    Manjon, Anna G.
    van de Wiel, Mark A.
    Reinders, Marcel J. T.
    Wessels, Lodewyk F. A.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (49)
  • [44] Characterization of patient-derived xenograft (PDX) models to evaluate clinical and therapeutic responses of glioblastoma multiforme
    Remonde, Dioval A.
    Carlson, Brett L.
    Schroeder, Mark A.
    Armstrong, Brock
    Peng, Sen
    Evers, Lisa
    Decker, Paul A.
    Passow, Jeanette Eckel
    Berens, Michael E.
    Tran, Nhan L.
    Jenkins, Robert B.
    Sarkaria, Jann N.
    CANCER RESEARCH, 2015, 75
  • [45] 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
    NEURO-ONCOLOGY, 2019, 21 : 262 - 262
  • [46] 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.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (14) : 1 - 12
  • [47] Protocol for in vitro evaluation of effects of stiffness on patient-derived glioblastoma
    Sohrabi, Alireza
    Seidlits, Stephanie K.
    STAR PROTOCOLS, 2024, 5 (03):
  • [48] A Patient-Derived Cell Atlas Informs Precision Targeting of Glioblastoma
    Johansson, Patrik
    Krona, Cecilia
    Kundu, Soumi
    Doroszko, Milena
    Baskaran, Sathishkumar
    Schmidt, Linnea
    Vinel, Claire
    Almstedt, Elin
    Elgendy, Ramy
    Elfineh, Ludmila
    Gallant, Caroline
    Lundsten, Sara
    Gago, Fernando J. Ferrer
    Hakkarainen, Aleksi
    Sipila, Petra
    Haggblad, Maria
    Martens, Ulf
    Lundgren, Bo
    Frigault, Melanie M.
    Lane, David P.
    Swartling, Fredrik J.
    Uhrbom, Lene
    Nestor, Marika
    Marino, Silvia
    Nelander, Sven
    CELL REPORTS, 2020, 32 (02):
  • [49] Localized Metabolomic Gradients in Patient-Derived Xenograft Models of Glioblastoma
    Randall, Elizabeth C.
    Lopez, Begona G. C.
    Peng, Sen
    Regan, Michael S.
    Abdelmoula, Walid M.
    Basu, Sankha S.
    Santagata, Sandro
    Yoon, Haejin
    Haigis, Marcia C.
    Agar, Jeffrey N.
    Tran, Nhan L.
    Elmquist, William F.
    White, Forest M.
    Sarkaria, Jann N.
    Agar, Nathalie Y. R.
    CANCER RESEARCH, 2020, 80 (06) : 1258 - 1267
  • [50] Patient-Derived Glioblastoma Explants as a Model for the Tumor Immune Microenvironment
    Shaked, Zoe
    Fernandez-Zapata, Camila
    Wasilewski, David
    Sun, Wenbo
    Bischoff, Philip
    Horst, David
    Onken, Julia Sophie
    Gholami, Mohammad Fardin
    Picht, Thomas
    Boettcher, Chotima
    Vajkoczy, Peter
    Xu, Ran
    ONCOLOGY RESEARCH AND TREATMENT, 2024, 47 : 43 - 43