Difference between revisions of "SOCR News UMich CCC HnN Retreat 2018"

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==Logistics==
 
==Logistics==
 +
[[Image:SOCR_Logo_April_2018.png|150px|thumbnail|right| [http://socr.umich.edu SOCR Resource] ]]
 
* '''Event''': 2018 [https://www.mcancer.org/head-and-neck-cancer Head and Neck Oncology Program Retreat]
 
* '''Event''': 2018 [https://www.mcancer.org/head-and-neck-cancer 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.
 
* '''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''': [http://www.umich.edu/~dinov/ Ivo D Dinov]
 
* '''Presenter''': [http://www.umich.edu/~dinov/ Ivo D Dinov]
 +
 +
== Program==
 +
<center>
 +
{| class="wikitable"
 +
|-
 +
! 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
 +
|}
 +
</center>
 +
  
 
==Outline==
 
==Outline==
−
[[Image:SOCR_Logo_April_2018.png|150px|thumbnail|right| [http://socr.umich.edu SOCR Resource] ]]
 
 
We explore computational statistics and machine learning methods, specifically for H&N Cancer analytics. Specifically, we developed new methods and tested them on the H&N cancer dataset (n~350). Specifically, we will demonstrate the infrastructure for predicting univariate clinical outcomes (e.g., cancer staging), processing unstructured clinical notes and medication data, and generating machine-learning models of association.
 
We explore computational statistics and machine learning methods, specifically for H&N Cancer analytics. Specifically, we developed new methods and tested them on the H&N cancer dataset (n~350). Specifically, we will demonstrate the infrastructure for predicting univariate clinical outcomes (e.g., cancer staging), processing unstructured clinical notes and medication data, and generating machine-learning models of association.
  
 
==Slidedeck==
 
==Slidedeck==
 
[http://socr.umich.edu/docs/uploads/2018/Dinov_Predictive_Cancer_HnN_Analytics_2018_Retreat.pdf Dr. Dinov's slides are available here].
 
[http://socr.umich.edu/docs/uploads/2018/Dinov_Predictive_Cancer_HnN_Analytics_2018_Retreat.pdf Dr. Dinov's slides are available here].
 +
  
 
==References==
 
==References==

Revision as of 16:21, 7 May 2018

SOCR News & Events: Exploratory, Confirmatory, & Predictive Big Cancer Data Analytics

Logistics

SOCR Resource

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 explore computational statistics and machine learning methods, specifically for H&N Cancer analytics. Specifically, we developed new methods and tested them on the H&N cancer dataset (n~350). Specifically, we will demonstrate the infrastructure for predicting univariate clinical outcomes (e.g., cancer staging), processing unstructured clinical notes and medication data, and generating machine-learning models of association.

Slidedeck

Dr. Dinov's slides are available here.


References


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