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  1. Article ; Online: Stereotactic radiation therapy with concurrent immunotherapy for recurrent glioblastoma-hope or hype?

    Tsien, Christina

    Neuro-oncology

    2021  Volume 23, Issue 4, Page(s) 535–536

    MeSH term(s) Antibodies, Monoclonal, Humanized ; Bevacizumab ; Glioblastoma/radiotherapy ; Glioblastoma/surgery ; Glioma ; Humans ; Immunotherapy ; Radiosurgery ; Re-Irradiation
    Chemical Substances Antibodies, Monoclonal, Humanized ; Bevacizumab (2S9ZZM9Q9V) ; pembrolizumab (DPT0O3T46P)
    Language English
    Publishing date 2021-03-12
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 2028601-6
    ISSN 1523-5866 ; 1522-8517
    ISSN (online) 1523-5866
    ISSN 1522-8517
    DOI 10.1093/neuonc/noab029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Editorial: Women in radiation oncology: 2021.

    Martinez, Constanza / Tsien, Christina

    Frontiers in oncology

    2023  Volume 13, Page(s) 1162683

    Language English
    Publishing date 2023-03-17
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1162683
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Critical Appraisal of Proton Therapy for Patients with Central Nervous System (CNS) Malignancies.

    Kahan, Jennifer / Martinez, Constanza / Tsien, Christina

    Current treatment options in oncology

    2023  Volume 24, Issue 8, Page(s) 988–1003

    Abstract: Opinion statement: As more hospital-based proton treatment centres become operational, the indications for proton beam therapy (PBT) are being evaluated. Recent advances in PBT technology are expanding the indications for the use of protons in the ... ...

    Abstract Opinion statement: As more hospital-based proton treatment centres become operational, the indications for proton beam therapy (PBT) are being evaluated. Recent advances in PBT technology are expanding the indications for the use of protons in the treatment of central nervous system (CNS) tumours. Prospective trials that assess the late toxicity of different radiation therapy (RT) techniques are needed to confirm any expected reduction in long-term side effects with PBT. The ASTRO Model Policy on proton beam therapy currently supports the reasonable use of protons in the treatment of specific CNS tumour types. Specifically, PBT plays a key role in the management of CNS tumours where anatomy, extent of disease or previous treatment cannot be satisfactorily addressed with conventional RT. As the availability of PBT rises around the world, the number of patients with CNS disease treated with PBT will continue to grow.
    MeSH term(s) Humans ; Proton Therapy/adverse effects ; Proton Therapy/methods ; Protons ; Prospective Studies ; Central Nervous System Neoplasms/radiotherapy ; Central Nervous System Neoplasms/etiology ; Central Nervous System
    Chemical Substances Protons
    Language English
    Publishing date 2023-05-22
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2057351-0
    ISSN 1534-6277 ; 1527-2729
    ISSN (online) 1534-6277
    ISSN 1527-2729
    DOI 10.1007/s11864-023-01097-w
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  4. Article ; Online: Introduction: recent advances in the biology and treatment of low- grade gliomas.

    Tsien, Christina

    Seminars in radiation oncology

    2015  Volume 25, Issue 3, Page(s) 153–154

    MeSH term(s) Brain Neoplasms/pathology ; Brain Neoplasms/therapy ; Glioma/pathology ; Glioma/therapy ; Humans
    Language English
    Publishing date 2015-07
    Publishing country United States
    Document type Introductory Journal Article
    ZDB-ID 1146999-7
    ISSN 1532-9461 ; 1053-4296
    ISSN (online) 1532-9461
    ISSN 1053-4296
    DOI 10.1016/j.semradonc.2015.02.010
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  5. Article ; Online: Ca

    Xia, Xin / Shi, Caleb / Tsien, Christina / Sun, Catalina B / Xie, Lili / Luo, Ziming / Bian, Minjuan / Russano, Kristina / Thakur, Hrishikesh Singh / Benowitz, Larry I / Goldberg, Jeffrey L / Kapiloff, Michael S

    eNeuro

    2024  Volume 11, Issue 3

    Abstract: Neuroprotection after injury or in neurodegenerative disease remains a major goal for basic and translational neuroscience. Retinal ganglion cells (RGCs), the projection neurons of the eye, degenerate in optic neuropathies after axon injury, and there ... ...

    Abstract Neuroprotection after injury or in neurodegenerative disease remains a major goal for basic and translational neuroscience. Retinal ganglion cells (RGCs), the projection neurons of the eye, degenerate in optic neuropathies after axon injury, and there are no clinical therapies to prevent their loss or restore their connectivity to targets in the brain. Here we demonstrate a profound neuroprotective effect of the exogenous expression of various Ca
    MeSH term(s) Mice ; Animals ; Retinal Ganglion Cells/metabolism ; Optic Nerve Injuries/metabolism ; Calcium-Calmodulin-Dependent Protein Kinase Type 2/metabolism ; Axons/metabolism ; Neurodegenerative Diseases/metabolism ; Nerve Regeneration/physiology ; Optic Nerve Diseases/metabolism ; Protein Isoforms/metabolism ; Cell Survival/physiology
    Chemical Substances Calcium-Calmodulin-Dependent Protein Kinase Type 2 (EC 2.7.11.17) ; Protein Isoforms
    Language English
    Publishing date 2024-03-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2800598-3
    ISSN 2373-2822 ; 2373-2822
    ISSN (online) 2373-2822
    ISSN 2373-2822
    DOI 10.1523/ENEURO.0478-23.2024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Sarcopenia predicts short-term treatment-related toxicity in patients undergoing curative-intent therapy for head and neck cancer: A systematic review and meta-analysis.

    Mascarella, Marco A / Ferdus, Jannatul / Vendra, Varun / Sridharan, Shaum / Sultanem, Khalil / Tsien, Christina / Shenouda, George / Bouganim, Nathaniel / Esfahani, Khashayar / Richardson, Keith / Mlynarek, Alex / Sadeghi, Nader / Hier, Michael / Kergoat, Marie-Jeanne

    Head & neck

    2024  Volume 46, Issue 6, Page(s) 1500–1509

    Abstract: Sarcopenia is an increasingly recognized biomarker associated with poorer outcomes. The objective of this study was to ascertain the effect of sarcopenia on treatment tolerance and short-term toxicity in head and neck cancer (HNC). A systematic review ... ...

    Abstract Sarcopenia is an increasingly recognized biomarker associated with poorer outcomes. The objective of this study was to ascertain the effect of sarcopenia on treatment tolerance and short-term toxicity in head and neck cancer (HNC). A systematic review was performed using multiple databases. An inverse-variation, random-effects model was used to perform the meta-analysis to evaluate the effect of sarcopenia on severe treatment toxicity and poor treatment tolerance. Sixteen observational studies, including 3187 patients with HNC, were analyzed. The combined odds ratio (OR) for severe treatment toxicity and tolerance was 2.22 (95%CI 1.50-3.29) and 1.40 (95%CI 0.84-2.32), respectively. The effect of sarcopenia on short-term severe treatment toxicity was similar with upfront surgery (OR 2.03, 95%CI 1.22-3.37) and definitive radiotherapy (OR 2.24, 95%CI 1.18-4.27) Patients with sarcopenia are more than twice as likely to suffer a short-term treatment-related toxicity when undergoing curative-intent HNC treatment.
    MeSH term(s) Sarcopenia/etiology ; Sarcopenia/therapy ; Humans ; Head and Neck Neoplasms/therapy ; Male ; Female
    Language English
    Publishing date 2024-02-14
    Publishing country United States
    Document type Systematic Review ; Journal Article ; Meta-Analysis ; Review
    ZDB-ID 645165-2
    ISSN 1097-0347 ; 0148-6403 ; 1043-3074
    ISSN (online) 1097-0347
    ISSN 0148-6403 ; 1043-3074
    DOI 10.1002/hed.27688
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  7. Article ; Online: Preclinical MRI: Studies of the irradiated brain.

    Garbow, Joel R / Tsien, Christina I / Beeman, Scott C

    Journal of magnetic resonance (San Diego, Calif. : 1997)

    2018  Volume 292, Page(s) 73–81

    Abstract: Radiation therapy (RT) plays a central role in the treatment of primary brain tumors. However, despite recent advances in RT treatment, local recurrences following therapy remain common. Radiation necrosis (RN) is a severe, late complication of radiation ...

    Abstract Radiation therapy (RT) plays a central role in the treatment of primary brain tumors. However, despite recent advances in RT treatment, local recurrences following therapy remain common. Radiation necrosis (RN) is a severe, late complication of radiation therapy in the brain. RN is a serious clinical problem often associated with devastating neurologic complications. Therapeutic strategies, including neuroprotectants, have been described, but have not been widely translated in routine clinical use. We have developed a mouse model that recapitulates all of the major pathologic features of late-onset RN for the purposes of characterizing the basic pathogenesis of RN, identifying non-invasive (imaging) biomarkers of RN that might allow for the radiologic discernment of tumor and RN, systematic testing of tumor and RN therapeutics, and exploring the complex interplay between RN pathogenesis and tumor recurrence. Herein, we describe the fundamental clinical challenges associated with RN and the progress made towards addressing these challenges by combining our novel mouse model of late-onset RN and magnetic resonance imaging (MRI). MRI techniques discussed include conventional T1- and T2-weighted imaging, diffusion-weighted imaging, magnetization transfer, and measures of tissue oxygenation. Studies of RN mitigation and neuroprotection are described, including the use of anti-VEGF antibodies, and inhibitors of GSK-3β, HIF-1α, and CXCR4. We conclude with some future perspectives on the irradiated brain and the study and treatment of recurrent tumor growing in an irradiated tumor microenvironment.
    MeSH term(s) Animals ; Antibodies, Blocking/therapeutic use ; Biomarkers ; Brain/diagnostic imaging ; Brain/radiation effects ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/radiotherapy ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging/methods ; Mice ; Necrosis/diagnostic imaging ; Neoplasm Recurrence, Local/diagnostic imaging ; Nerve Tissue Proteins/antagonists & inhibitors ; Neuroprotective Agents/therapeutic use ; Radiation Injuries, Experimental/diagnostic imaging ; Radiation Injuries, Experimental/prevention & control ; Radiation-Protective Agents/therapeutic use ; Radiotherapy/adverse effects ; Tumor Microenvironment
    Chemical Substances Antibodies, Blocking ; Biomarkers ; Nerve Tissue Proteins ; Neuroprotective Agents ; Radiation-Protective Agents
    Language English
    Publishing date 2018-04-26
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1469665-4
    ISSN 1096-0856 ; 1557-8968 ; 1090-7807 ; 0022-2364
    ISSN (online) 1096-0856 ; 1557-8968
    ISSN 1090-7807 ; 0022-2364
    DOI 10.1016/j.jmr.2018.03.011
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  8. Article ; Online: Prediction of Normal Tissue Complication Probability (NTCP) After Radiation Therapy Using Imaging and Molecular Biomarkers and Multivariate Modelling.

    Alirezaei, Zahra / Amouheidari, Alireza / Iraji, Sajjad / Hassanpour, Masoud / Hejazi, Seyed Hosein / Davanian, Fariba / Nami, Mohammad Torabi / Rastaghi, Sedighe / Shokrani, Parvaneh / Tsien, Christina I / Nazem-Zadeh, Mohammad-Reza

    Journal of molecular neuroscience : MN

    2023  Volume 73, Issue 7-8, Page(s) 587–597

    Abstract: The aim of this study was to design a predictive radiobiological model of normal brain tissue in low-grade glioma following radiotherapy based on imaging and molecular biomarkers. Fifteen patients with primary brain tumors prospectively participated in ... ...

    Abstract The aim of this study was to design a predictive radiobiological model of normal brain tissue in low-grade glioma following radiotherapy based on imaging and molecular biomarkers. Fifteen patients with primary brain tumors prospectively participated in this study and underwent radiation therapy. Magnetic resonance imaging (MRI) was obtained from the patients, including T1- and T2-weighted imaging and diffusion tensor imaging (DTI), and a generalized equivalent dose (gEUD) was calculated. The radiobiological model of the normal tissue complication probability (NTCP) was performed using the variables gEUD; axial diffusivity (AD) and radial diffusivity (RD) of the corpus callosum; and serum protein S100B by univariate and multivariate logistic regression XLIIIrd Sir Peter Freyer Memorial Lecture and Surgical Symposium (2018). Changes in AD, RD, and S100B from baseline up to the 6 months after treatment had an increasing trend and were significant in some time points (P-value < 0.05). The model resulting from RD changes in the 6 months after treatment was significantly more predictable of necrosis than other univariate models. The bivariate model combining RD changes in Gy40 dose-volume and gEUD, as well as the trivariate model obtained using gEUD, RD, and S100B, had a higher predictive value among multivariate models at the sixth month of the treatment. Changes in RD diffusion indices and in serum protein S100B value were used in the early-delayed stage as reliable biomarkers for predicting late-delayed damage (necrosis) caused by radiation in the corpus callosum. Current findings could pave the way for intervention therapies to delay the severity of damage to white matter structures, minimize cognitive impairment, and improve the quality of life of patients with low-grade glioma.
    MeSH term(s) Humans ; Diffusion Tensor Imaging/methods ; Quality of Life ; White Matter ; Glioma/radiotherapy ; Glioma/pathology ; Biomarkers ; Probability ; Necrosis/pathology
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-07-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1043392-2
    ISSN 1559-1166 ; 0895-8696
    ISSN (online) 1559-1166
    ISSN 0895-8696
    DOI 10.1007/s12031-023-02136-9
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  9. Article ; Online: A Bayesian dose-finding design for outcomes evaluated with uncertainty.

    Schipper, Matthew J / Yuan, Ying / Taylor, Jeremy Mg / Ten Haken, Randall K / Tsien, Christina / Lawrence, Theodore S

    Clinical trials (London, England)

    2021  Volume 18, Issue 3, Page(s) 279–285

    Abstract: Introduction: In some phase I trial settings, there is uncertainty in assessing whether a given patient meets the criteria for dose-limiting toxicity.: Methods: We present a design which accommodates dose-limiting toxicity outcomes that are assessed ... ...

    Abstract Introduction: In some phase I trial settings, there is uncertainty in assessing whether a given patient meets the criteria for dose-limiting toxicity.
    Methods: We present a design which accommodates dose-limiting toxicity outcomes that are assessed with uncertainty for some patients. Our approach could be utilized in many available phase I trial designs, but we focus on the continual reassessment method due to its popularity. We assume that for some patients, instead of the usual binary dose-limiting toxicity outcome, we observe a physician-assessed probability of dose-limiting toxicity specific to a given patient. Data augmentation is used to estimate the posterior probabilities of dose-limiting toxicity at each dose level based on both the fully observed and partially observed patient outcomes. A simulation study is used to assess the performance of the design relative to using the continual reassessment method on the true dose-limiting toxicity outcomes (available in simulation setting only) and relative to simple thresholding approaches.
    Results: Among the designs utilizing the partially observed outcomes, our proposed design has the best overall performance in terms of probability of selecting correct maximum tolerated dose and number of patients treated at the maximum tolerated dose.
    Conclusion: Incorporating uncertainty in dose-limiting toxicity assessment can improve the performance of the continual reassessment method design.
    MeSH term(s) Bayes Theorem ; Clinical Trials, Phase I as Topic ; Computer Simulation ; Dose-Response Relationship, Drug ; Drug-Related Side Effects and Adverse Reactions ; Humans ; Maximum Tolerated Dose ; Research Design ; Uncertainty
    Language English
    Publishing date 2021-04-22
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2138796-5
    ISSN 1740-7753 ; 1740-7745
    ISSN (online) 1740-7753
    ISSN 1740-7745
    DOI 10.1177/17407745211001521
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  10. Article ; Online: Evaluation of interim MRI changes during limited-field radiation therapy for glioblastoma and implications for treatment planning.

    Hassanzadeh, Comron / Rudra, Soumon / Ma, Sirui / Brenneman, Randall / Huang, Yi / Henke, Lauren / Abraham, Christopher / Campian, Jian / Tsien, Christina / Huang, Jiayi

    Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

    2021  Volume 158, Page(s) 237–243

    Abstract: Background and purpose: Consensus for defining gross tumor volume (GTV) and clinical target volume (CTV) for limited-field radiation therapy (LFRT) of GBM are not well established. We leveraged a department MRI simulator to image patients before and ... ...

    Abstract Background and purpose: Consensus for defining gross tumor volume (GTV) and clinical target volume (CTV) for limited-field radiation therapy (LFRT) of GBM are not well established. We leveraged a department MRI simulator to image patients before and during LFRT to address these questions.
    Materials and methods: Supratentorial GBM patients receiving LFRT (46 Gy + boost to 60 Gy) underwent baseline MRI (MRI1) and interim MRI during RT (MRI2). GTV1 was defined as T1 enhancement + surgical cavity on MRI1 without routine inclusion of T2 abnormality (unless tumor did not enhance). The initial CTV margin was 15 mm from GTV1, and the boost CTV margin was 5-7 mm. The GTV1 characteristics were categorized into three groups: identical T1 and T2 abnormality (Group A), T1 only with larger T2 abnormality not included (Group B), and T2 abnormality when tumor lacked enhancement (Group C). GTV2 was contoured on MRI2 and compared with GTV1 plus 5-15 mm expansions.
    Results: Among 120 patients treated from 2014-2019, 29 patients (24%) underwent replanning based on MRI2. On MRI2, 84% of GTV2 were covered by GTV1 + 5 mm, 93% by GTV1 + 7 mm, and 98% by GTV1 + 15 mm. On MRI1, 43% of GTV1 could be categorized into Group A, 39% Group B, and 18% Group C. Group B's patterns of failure, local control, or progression-free survival were similar to Group A/C.
    Conclusions: Initial CTV margin of 15 mm followed by a boost CTV margin of 7 mm is a reasonable approach for LFRT of GBM. Omitting routine inclusion of T2 abnormality from GTV delineation may not jeopardize disease control.
    MeSH term(s) Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/radiotherapy ; Glioblastoma/diagnostic imaging ; Glioblastoma/radiotherapy ; Humans ; Magnetic Resonance Imaging ; Radiotherapy Planning, Computer-Assisted
    Language English
    Publishing date 2021-02-13
    Publishing country Ireland
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 605646-5
    ISSN 1879-0887 ; 0167-8140
    ISSN (online) 1879-0887
    ISSN 0167-8140
    DOI 10.1016/j.radonc.2021.01.040
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