English
Every patient deserves their own equation: Sex, drugs and radiomics of brain Cancer
Virtualconference
Auteurs : Swanson, Kristin (Auteur de la conférence)
CIRM (Editeur )
92C50 - Medical applications of mathematical biology
CIRM (Editeur )
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Résumé :
Glioblastoma are notoriously aggressive, malignant primary brain tumors that have variable response to treatment. This presentation will focus on the integrative role of 1) biological sex-differences, 2) heterogeneity in drug-delivery and 3) intra-tumoral molecular diversity (revealed by radiomics) in capturing and predicting this variable response to treatment. Specifically, I will highlight burgeoning insights into sex differences in tumor incidence, outcomes, propensity and response to therapy. I will further, quantify the degree to which heterogeneity in drug delivery, even for drugs that are able to bypass the blood-brain barrier, contributes to differences in treatment response. Lastly, I will propose an integrative role for spatially resolved MRI-based radiomics models to reveal the intra-tumoral biological heterogeneity that can be used to guide treatment targeting and management.
Mots-Clés : mathematical oncology
Codes MSC : Mots-Clés : mathematical oncology
92C50 - Medical applications of mathematical biology
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Informations sur la Vidéo
Réalisateur : Hennenfent, GuillaumeLangue : Anglais Date de Publication : 01/07/2022 Date de Captation : 07/06/2022 Sous Collection : Research School Catégorie arXiv : Quantitative Biology Domaine(s) : Analyse Numérique & Calcul Formel ; Informatique ; Théorie du Contrôle & Optimisation ; EDP Format : MP4 (.mp4) - HD Durée : 00:34:33 Audience : Chercheurs ; Etudiants Science Cycle 2 ; Doctoral Students, Post-Doctoral Students Download : https://videos.cirm-math.fr/2022-06-07_Swanson.mp4 
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Informations sur la Rencontre
Nom de la Rencontre : Dynamics and Statistics of Cancer Evolution : Applying Mathematics to Experimental and Clinical Data / Evolution tumorale, dynamique et statistiques: mathématiques pour données cliniques & expérimentalesOrganisateurs de la Rencontre : Curtius, Kathleen ; Huang, Weini ; Martinez, Pierre ; Werner, Benjamin ; Williams, Marc Dates : 06/06/2022 - 10/06/2022 Année de la rencontre : 2022 URL de la Rencontre : https://conferences.cirm-math.fr/2409.html
Données de citation
DOI : 10.24350/CIRM.V.19931803Citer cette vidéo: Swanson, Kristin (2022). Every patient deserves their own equation: Sex, drugs and radiomics of brain Cancer. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19931803 URI : http://dx.doi.org/10.24350/CIRM.V.19931803 |
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Bibliographie
- HU, Leland S., WANG, Lujia, HAWKINS-DAARUD, Andrea, et al. Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma. Scientific reports, 2021, vol. 11, no 1, p. 1-14. - https://doi.org/10.1038/s41598-021-83141-z
- MASSEY, Susan Christine, WHITMIRE, Paula, DOYLE, Tatum E., et al. Sex differences in health and disease: A review of biological sex differences relevant to cancer with a spotlight on glioma. Cancer letters, 2021, vol. 498, p. 178-187. - https://doi.org/10.1016/j.canlet.2020.07.030
- URCUYO, Javier C., MASSEY, Susan Christine, HAWKINS-DAARUD, Andrea, et al. Complementary role of mathematical modeling in preclinical glioblastoma: differentiating poor drug delivery from drug insensitivity. bioRxiv, 2021. - https://doi.org/10.1101/2021.12.07.471540
- WHITMIRE, Paula, RICKERTSEN, Cassandra R., HAWKINS-DAARUD, Andrea, et al. Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients. BMC cancer, 2020, vol. 20, no 1, p. 1-10. - https://doi.org/10.1186/s12885-020-06816-2
- MORRIS, Bethan, CURTIN, Lee, HAWKINS-DAARUD, Andrea, et al. Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populations. Mathematical biosciences and engineering: MBE, 2020, vol. 17, no 5, p. 4905. - https://doi.org/10.3934/mbe.2020267
- SINGLETON, Kyle W., PORTER, Alyx B., HU, Leland S., et al. Days gained response discriminates treatment response in patients with recurrent glioblastoma receiving bevacizumab-based therapies. Neuro-oncology advances, 2020, vol. 2, no 1, p. vdaa085. - https://doi.org/10.1093/noajnl/vdaa085
- GAW, Nathan, HAWKINS-DAARUD, Andrea, HU, Leland S., et al. Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI. Scientific reports, 2019, vol. 9, no 1, p. 1-9. - https://doi.org/10.1038/s41598-019-46296-4
- HAWKINS-DAARUD, Andrea, JOHNSTON, Sandra K., et SWANSON, Kristin R. Quantifying uncertainty and robustness in a biomathematical model–based patient-specific response metric for glioblastoma. JCO clinical cancer informatics, 2019, vol. 3, p. 1-8. - http://dx.doi.org/10.1200/CCI.18.00066
- YANG, Wei, WARRINGTON, Nicole M., TAYLOR, Sara J., et al. Sex differences in GBM revealed by analysis of patient imaging, transcriptome, and survival data. Science translational medicine, 2019, vol. 11, no 473, p. eaao5253. - https://doi.org/10.1126/scitranslmed.aao5253
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