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X-WR-CALDESC:Events for Dana-Farber Cancer Institute
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DTSTART;TZID=America/New_York:20200902T130000
DTEND;TZID=America/New_York:20200902T140000
DTSTAMP:20260413T101246
CREATED:20200811T135007Z
LAST-MODIFIED:20201109T234620Z
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SUMMARY:Data Science Zoominar: Data Visualization Literacy: Avoiding common mistakes and recognizing deceitful practices
DESCRIPTION:Wednesday September 2\, 2020\n1:00PM ET \nA conversation with Alberto Cairo\nKnight Chair in Visual Journalism at the School of Communication of the University of Miami\nModerator: Rafael Irizarry \nA recording of the talk is available on our YouTube channel. \n  \n 
URL:https://ds.dfci.harvard.edu/event/data-science-zoominar-data-visualizacion-literacy-avoiding-common-mistakes-and-recognizing-deceitful-practices/
CATEGORIES:Zoominar
ATTACH;FMTTYPE=image/jpeg:https://ds.dfci.harvard.edu/wp-content/uploads/2020/08/Alberto_Cairo-02.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200915T130000
DTEND;TZID=America/New_York:20200915T140000
DTSTAMP:20260413T101246
CREATED:20200708T162715Z
LAST-MODIFIED:20201109T234809Z
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SUMMARY:A New Hybrid Phase I-II-III Clinical Trial Paradigm
DESCRIPTION:Frontiers in Biostatistics Seminar \nTuesday September 15\, 2020 at 1:00PM Eastern Time \nPeter F. Thall\, PhD\nDepartment of Biostatistics\nUniversity of Texas M.D. Anderson Cancer Center \nAbstract: Conventional evaluation of a new drug\, 𝐴\, is done in three phases. Phase I relies on toxicity to determine a “maximum tolerable dose” (MTD) of 𝐴\, in phase II it is decided whether 𝐴 at the MTD is “promising” in terms of response probability\, and if so a large randomized phase III trial is conducted to compare 𝐴 to a control treatment\, 𝐶\, based on survival time or progression free survival time. This paradigm has many flaws. The first two phases may be combined by conducting a phase I-II trial\, which chooses an optimal dose based on both efficacy and toxicity\, with evaluation of 𝐴 at the optimal phase I-II dose then done in phase III. In this talk\, I will describe a new paradigm\, motivated by the possibility that the optimal phase I-II dose may not maximize mean survival time with 𝐴. A hybrid phase I-II-III design is presented that allows the optimal phase I-II dose of 𝐴 to be re-optimized based on survival time data after the first stage of phase III. The hybrid design relies on a mixture model for the survival time distribution as a function of efficacy\, toxicity\, and dose. A simulation study is presented to evaluate the design’s properties\, including comparison to the more conventional approach that does not re-optimize the dose of 𝐴 in phase III. \nA recording of this seminar is available on your YouTube Channel.
URL:https://ds.dfci.harvard.edu/event/a-new-hybrid-phase-i-ii-iii-clinical-trial-paradigm/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200922T140000
DTEND;TZID=America/New_York:20200922T150000
DTSTAMP:20260413T101246
CREATED:20200915T212158Z
LAST-MODIFIED:20200917T142852Z
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SUMMARY:Cancer Development\, Heterogeneity and Dynamics from Premalignancy to Drug Refractory Disease
DESCRIPTION:Data Science Seminar \nSeptember 22\, 2020\n2:00PM ET \nIgnaty Leshchiner\, PhD\nPostdoctoral Fellow\, Harvard Medical School/Brigham and Women’s Hospital \nZoom link: http://bit.ly/DSSept22 \nAbstract: \nReal-time study of tumor emergence and progression in patients will help predict and ultimately change the course of the patient’s disease. This could be achieved by inferring genotypes of heterogeneous cell populations within the tumor\, their fitness\, growth rates\, corresponding expression patterns and drug tolerance states. We have developed a set of computational methods to infer the order of tumor-initiating events and to follow the dynamics and competition of cancer cell populations during disease progression and treatment. The package\, PhylogicNDT\, uses tumor genomic data to reconstruct the process of tumor formation\, natural growth kinetics\, competition and spread of resistance clones. We applied this package to 2\,658 primary cancers to reconstruct developmental trajectories and history of common tumor types in premalignancy and early malignancy state; reconstruct cancer cell populations and growth rates\, fitness and kinetics of individual clones during natural progression of leukemia in vivo; analyze spatial progression of resistance clones and find new resistance mechanisms in a large cohort of rapid autopsy cases. By integrating blood biopsy (ctDNA)\, solid tissue biopsy and autopsy data we show that resistance often emerges in multiple distant metastatic sites simultaneously\, with evidence of multiple resistance mutations present in the blood’s ctDNA at the same time. Finally\, we combine bulk and single cell sequencing data to help identify genetically distinct clones and explain their phenotypic differences. We envision that treatment decisions will improve with better understanding of tumor development\, clonal structure and microenvironment\, and the path tumor takes to become malignant and progress after treatment.
URL:https://ds.dfci.harvard.edu/event/cancer-development-heterogeneity-and-dynamics-from-premalignancy-to-drug-refractory-disease/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200929T130000
DTEND;TZID=America/New_York:20200929T140000
DTSTAMP:20260413T101246
CREATED:20200922T173720Z
LAST-MODIFIED:20200923T183848Z
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SUMMARY:3D Spatial Organization Within Tumors
DESCRIPTION:Data Science Seminar \nSeptember 29\, 2020\n1:00PM ET \nMartin Aryee\, PhD\nAssistant Professor of Pathology\, Harvard Medical School\nAssistant Molecular Pathologist\, Massachusetts General Hospital \nZoom link: https://dfci.zoom.us/j/95524743149?pwd=SzN4cjJZUnhsNVl3dXNmZjZ1N3F4QT09 \nAbstract: The spatial organization of biological systems can impart additional functionality beyond that of the individual components. This is true at a range of scales – from cells in a tissue to individual genes and regulatory elements in a single genome. High-throughput assays that permit spatial measurements have advanced greatly in the past decade and revealed oncogenic architectural alterations in tumors at the tissue\, cellular and chromosome levels. Here I will discuss tumor spatial organization in gastrointestinal malignancies at two different scales. First\, I will describe how we used single-cell RNA-Seq and RNA in situ hybridization in pancreatic cancer to identify cell state and tissue architecture changes induced by contact with stromal cancer-associated fibroblasts (CAFs). We analyzed the spatial architecture of cell states in 195 pancreatic tumors\, mapping over 300\,000 individual cancer cells. We were able to classify different types of tumor glands based on their cell-type composition\, and show that these functional units can be used to characterize tumors in ways not evident from analyses of dissociated single cells. Second\, I will discuss findings from a recent study of 3D genome organization within colon cancer cell nuclei. We found oncogenic changes at the level of regulatory chromatin loops and topologically associated domains (TADs)\, but the most surprising and striking change involves a large-scale repackaging of heterochromatin that appears to restrain tumor progression\, representing a failed anti-tumor epigenetic brake.
URL:https://ds.dfci.harvard.edu/event/3d-spatial-organization-within-tumors/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200930T130000
DTEND;TZID=America/New_York:20200930T163000
DTSTAMP:20260413T101246
CREATED:20200429T164355Z
LAST-MODIFIED:20201102T114527Z
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SUMMARY:Marvin Zelen Symposium 2020
DESCRIPTION:In December of 2019\, we planned the next Marvin Zelen Symposium for March of 2020. At that point\, the year ahead seemed to be a data spectacle waiting to happen. Think about all the events planned for 2020! Here’s what we wrote. \nThe topic of this year’s Marvin Zelen Symposium has to do with the year itself — 2020. This first year of a new decade brings with it statistical spectacles on a massive scale. From the Decennial Census and the Presidential Election in the US\, to the 50th anniversary of Earth Day\, to the Summer Olympics in Tokyo. These big events are bristling with data and its analyses — shaping how they are experienced\, discussed\, debated\, and even litigated. Their time scales range from fractions of a second (the difference between gold and silver) to millions of years (the length of the geological record needed to understand our changing climate). They can be influenced by the actions of one person or the cumulative behaviors of hundreds of millions (as voters\, as competitors\, as spectators\, as consumers). The Marvin Zelen Symposium will look at the major data spectacles of 2020\, each one having synergy with the others\, but also adding something new in our understanding of how data establish and reinforce systems of power on our planet. \nWell\, since we organized the 2020 Symposium\, the entire world has changed. The original Zelen event was replaced with a “Zoomposium” on Covid-19\, attracting nearly 500 attendees\, and we moved the program covering everything from the Olympics to Earth Day to September\, 2020 — this month. \nBut now that the date of the rescheduled event is upon us\, think about what Covid-19 has done to many of the events mentioned in our abstract — we have seen everything from complications to cancellations. Still\, we have decided to go forward with the 2020 Zelen Symposium as we had originally planned it. \nWe expect the difficulties of this year will inflect each of the talks on the program. Marvin Zelen embraced the complexity of data and its relationship to lived experience — the same is true for this edition of the Symposium bearing his name. \nSpeakers: \n\nBen Hansen\, University of Michigan\, “The Test of Heightened Election-Year Scrutiny and the Tests in your Table 1”\n\nBrendan Nyhan\, Dartmouth College\, “Selective Exposure to Misinformation: Understanding the Consumption of False News and Anti-Vaccine Content Online”\nRegina Nuzzo\, Gallaudet University\, “Brain-Hacking Stats Communication: A Quick Tour”\nAmy O’Hara\, Georgetown University\, “The 2020 Census: Expected vs. Actual”\nAndrew Revkin\, Columbia University\, “Taming Social Media for Constructive Climate Crosstalk”\n\nCharles Stewart\, Massachusetts Institute of Technology\, “Puzzling Through Demand for Mail Voting in the 2020 Election”\nDaniel Webb\, United States Olympic Committee\, “Forecasting the Olympic Games: Team USA’s Medal Prediction Models”\n\nJeremy White\, New York Times\, “Visualizing the Performances of the World’s Greatest Athletes”\n\n\nRegister by September 29\, 2020. \nAudience is capped at 500 participants. Participate on Twitter: #Zelen2020.
URL:https://ds.dfci.harvard.edu/event/marvin-zelen-symposium-2020/
CATEGORIES:Conference
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