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
  • [21] 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.
    CELL REPORTS, 2019, 26 (12): : 3203 - +
  • [22] Protocol A Patient-Derived Xenograft Model of Glioblastoma
    Chokshi, Chirayu R.
    Savage, Neil
    Venugopal, Chitra
    Singh, Sheila K.
    STAR PROTOCOLS, 2020, 1 (03):
  • [23] RADIOSENSITIZING EFFECTS OF HDAC INHIBITORS AND RESPONSE PROFILING IN PATIENT-DERIVED GLIOBLASTOMA CULTURES
    Pont, L. M. E. Berghauser
    Kloezeman, J. J.
    French, P. J.
    Dirven, C. M. F.
    Lamfers, M. L. M.
    Leenstra, S. L.
    NEURO-ONCOLOGY, 2012, 14 : 53 - 53
  • [24] Patient-Derived Organoids as a Model for Predicting Drug Response in Pancreas Malignancies
    Hogenson, T.
    Phillips, W.
    Lenkiewicz, E.
    Almada, L.
    Koenig, A.
    Xie, H.
    Horn, I.
    Levy, M.
    Truty, M.
    Petersen, G. M.
    Barrett, M.
    Ma, W. W.
    Fernandez-Zapico, M. E.
    PANCREAS, 2020, 49 (10) : 1412 - 1412
  • [25] Advances in patient-derived tumor xenografts: From target identification to predicting clinical response rates in oncology
    Rosfjord, Edward
    Lucas, Judy
    Li, Gang
    Gerber, Hans-Peter
    BIOCHEMICAL PHARMACOLOGY, 2014, 91 (02) : 135 - 143
  • [26] Patient-derived cervical cancer organoids as a pre-clinical model predicting drug and radiation response
    Oh, Ju Hee
    Seol, Hyang Sook
    Choi, Eun Hye
    Lee, Yong Jae Lee
    Lee, Jung-Yun
    Kim, Sang Wun
    Kim, Sunghoon
    Kim, Young Tae
    Kim, Hyun Ki
    Lee, Young Joo
    Nam, Eun Ji
    CANCER RESEARCH, 2023, 83 (07)
  • [27] Transcriptomic Profiling of DNA Damage Response in Patient-Derived Glioblastoma Cells before and after Radiation and Temozolomide Treatment
    Lozinski, Mathew
    Bowden, Nikola A.
    Graves, Moira C.
    Fay, Michael
    Day, Bryan W.
    Stringer, Brett W.
    Tooney, Paul A.
    CELLS, 2022, 11 (07)
  • [28] Patient-derived organoids for prediction of treatment response in oesophageal adenocarcinoma
    Bolger, Jarlath C.
    Allen, Jonathan
    Radulovich, Nikolina
    Ng, Christine
    Derouet, Mathieu
    Shathasivam, Premalatha
    Wilson, Gavin W.
    Tsao, Ming-Sound
    Elimova, Elena
    Darling, Gail E.
    Yeung, Jonathan C.
    BRITISH JOURNAL OF SURGERY, 2024, 111 (01)
  • [29] Patient-derived hepatocellular carcinoma organoids as predictors of Treatment Response
    Park, Jun Yong
    Cho, Kyung Joo
    Lee, Hye Won
    Park, Hye Jung
    Ahn, Sang Hoon
    Lee, Hee Seung
    Kim, Chul Hoon
    JOURNAL OF HEPATOLOGY, 2022, 77 : S755 - S755
  • [30] Patient-derived tumor organoids for prediction of cancer treatment response
    Nagle, Peter W.
    Plukker, John Th. M.
    Muijs, Christina T.
    van Luijk, Peter
    Coppes, Robert P.
    SEMINARS IN CANCER BIOLOGY, 2018, 53 : 258 - 264