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Arithmetic Geometry – A Conference in Honor of Hélène Esnault on the Occasion of Her 70th Birthday
20 videos

Arithmetic Geometry – A Conference in Honor of Hélène Esnault on the Occasion of Her 70th Birthday

Multidimensional symbolic dynamics and lattice models of quasicrystals / Dynamique symbolique multidimensionnelle et modèles de quasi-cristaux sur réseau
5 videos

Multidimensional symbolic dynamics and lattice models of quasicrystals / Dynamique symbolique multidimensionnelle et modèles de quasi-cristaux sur réseau

Not Only Scalar Curvature Seminar
58 videos

Not Only Scalar Curvature Seminar

Clément Delcamp : Topological Symmetry and Duality in Quantum Lattice Models
2 videos

Clément Delcamp : Topological Symmetry and Duality in Quantum Lattice Models

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Dynamics and Statistics of Cancer Evolution : Applying Mathematics to Experimental and Clinical Data / Evolution tumorale, dynamique et statistiques: mathématiques pour données cliniques & expérimentales

Collection Dynamics and Statistics of Cancer Evolution : Applying Mathematics to Experimental and Clinical Data / Evolution tumorale, dynamique et statistiques: mathématiques pour données cliniques & expérimentales

Organisateur(s) Curtius, Kathleen ; Huang, Weini ; Martinez, Pierre ; Werner, Benjamin ; Williams, Marc
Date(s) 06/06/2022 - 10/06/2022
URL associée https://conferences.cirm-math.fr/2409.html
00:00:00 / 00:00:00
1 5

Every patient deserves their own equation: Sex, drugs and radiomics of brain Cancer

De Kristin Swanson

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.

Informations sur la vidéo

Données de citation

  • DOI 10.24350/CIRM.V.19931803
  • Citer cette vidéo Swanson, Kristin (07/06/2022). Every patient deserves their own equation: Sex, drugs and radiomics of brain Cancer. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19931803
  • URL https://dx.doi.org/10.24350/CIRM.V.19931803

Domaine(s)

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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