SOCR News UMich CCC HnN Retreat 2018

Logistics

SOCR Resource

• Event: 2018 Head and Neck Oncology Program Retreat
• Place/Time: Friday May 11, 2018, 7:30AM-4:00PM, University of Michigan, Pierpont Commons (East Room), 2101 Bonisteel Blvd, Ann Arbor, MI 48109.
• Presenter: Ivo D Dinov

Program

Time	Title	Presenter
7:30-8:00	Breakfast
8:00-8:15	History of HNOP and Future Plans	Tom Carey/ Mark Prince
8:15-8:30	Multi-parametric MRI for assessment of Progression UMCC 2013.062 Phase 2 randomized trial in Poor Prognosis HNSCC	Michele Mierswa
8:30-8:45	Imaging Findings in UMCC 2013.062	Yue Cao
8:45-9:00	Effects of definitive ChemoRT on neck function	David Lipps/Michele Mierswa/Paul Swiecicki/Sean Smith
9:00-9:15	Individualized survival Prediction for Patients with OPSCC +/- HPV	Peter Hawkins
9:15-9:30	Therapeutic Targeting of adenoid cystic Carcinoma stem cells	Jacques Nor
9:30-10:45	Lipidomic profiling identifies phospholipase A2 as a novel therapy	Mark Cohen
10:00-10:15	Coffee Break
10:15-10:30	Molecular profiling of sinonasal Papillomas: Mechanisms of oncogenesis and malignant progression	Aaron Udager
10:35-10:45	Identification of HPV-human fusion Transcripts in HNSCC cell lines and tumors	Lisa Pinatti
10:30-10:45	Expressed HNSCC mutations by HPV status in a Michigan Cohort	TingTing Qin/Maureen Sartor
10:45-11:00	5-hydroxymethylation captures the heterogeneity in keratinization	Siyu Liu/Maureen Sartor
11:00-11:15	Using small molecule profiling to identify effective combination Therapies in HNSCC	Nicole Michmerhuizen
11:15-11:30	Update on the Low Risk OPSCC Surgical Trial	Matt Spector
11:30-11:45	Predicting wound healing in salvage surgery: SPY, MRI and TSH	Matt Spector
11:45-12:00	Update on the MiOtoSeq Study	Collin Brummel/Chad Brenner
11:40-11:50	MiOto genetics and Clinical analysis	Keith Casper/Nick
11:50-12:00	Investigating mechanisms of PD-L1 regulation in UMSCC cell lines	Jackie Mann
12:00 -1:00	LUNCH	All
1:00-1:15	TBA	Nisha D’Silva
1:15-1:30	Mucoepidermoid Cancer RNASeq and ctDNA analysis	Chad Brenner
1:30-1:45	Loss of E2 promotes cisplatin resistance in HPV16 Positive HNSCC	Josh Smith
1:45-2:00	Exploratory, Confirmatory, & Predictive Big Cancer Data Analytics	Ivo Dinov
2:00-2:15	Genetic analysis of HPV+ OPSCC	Chad Brenner
2:15-2:30	Coffee Break
2:30-3:15	Head and Neck/Endocrine Clinical Trials Update Inhibition in HNSCC	Frank Worden Shannon Musser
3:15-3:30	Physical and Cognitive Function, Symptom Distress and Quality of Life in Head and Neck Cancer	Moira Visovatti
3:30-3:45	Novel Therapeutics and Emerging Biomarkers in Head & Neck Cancers	Paul Sweicicki
3:00-4:00	Overview and Discussion of Future translational projects	All

Outline

We developed computational statistics and machine learning methods for H&N Cancer analytics. Three applications of the new methods on the H&N cancer dataset (n~350) include: (1) predicting univariate clinical outcomes (e.g., cancer staging), (2) processing unstructured clinical notes and medication data, and, (3) generating machine-learning models of association.

Slidedeck

Dr. Dinov's slides are available here.

References

• SOCR Publications
• Dinov, ID, 2018. Data Science and Predictive Analytics: Biomedical and Health Applications using R, Springer, Computer Science, ISBN 978-3-319-72346-4.
• Data Science and Predictive Analytics (DSPA) Website: http://predictive.space
• SOCR Funding

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• SOCR Home page: http://www.socr.umich.edu

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