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

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Virtualconference
Authors : Swanson, Kristin (Author of the conference)
CIRM (Publisher )

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Abstract : 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.

Keywords : mathematical oncology

MSC Codes :
92C50 - Medical applications of mathematical biology

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 01/07/2022
    Conference Date : 07/06/2022
    Subseries : Research School
    arXiv category : Quantitative Biology
    Mathematical Area(s) : Numerical Analysis & Scientific Computing ; Computer Science ; Control Theory & Optimization ; PDE
    Format : MP4 (.mp4) - HD
    Video Time : 00:34:33
    Targeted Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students
    Download : https://videos.cirm-math.fr/2022-06-07_Swanson.mp4

Information on the Event

Event Title : Dynamics and Statistics of Cancer Evolution : Applying Mathematics to Experimental and Clinical Data / Evolution tumorale, dynamique et statistiques: mathématiques pour données cliniques & expérimentales
Event Organizers : Curtius, Kathleen ; Huang, Weini ; Martinez, Pierre ; Werner, Benjamin ; Williams, Marc
Dates : 06/06/2022 - 10/06/2022
Event Year : 2022
Event URL : https://conferences.cirm-math.fr/2409.html

Citation Data

DOI : 10.24350/CIRM.V.19931803
Cite this video as: 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

See Also

Bibliography

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  • 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

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  • 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

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