Integrated Cancer Research Center Seminar

Event Details
  • Date/Time:
    • Tuesday November 11, 2014
      3:00 pm - 4:00 pm
  • Location: Parker H. Petit Institute for Bioengineering & Bioscience, Room 1128
  • Phone: (404) 894-6228
  • URL: http://www.ibb.gatech.edu
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

John McDonald, PhD

Summaries

Summary Sentence: “Understanding Cancer in its Full Complexity through Mining Cancer Tissue Omic Data” - Ying Xu, PhD, University of Georgia

Full Summary: Georgia Tech has been a leader in the development of collaborative approaches to both cancer diagnostics and therapeutics. The mission of the Integrated Cancer Research Center (ICRC) is to facilitate integration of the diversity of technological, computational, scientific and medical expertise at Georgia Tech and partner institutions in a coordinated effort to develop improved cancer diagnostics and therapeutics.

“Understanding Cancer in its Full Complexity through Mining Cancer Tissue Omic Data”

Ying Xu, PhD
Regents' Professor and Chair
GRA Eminent Scholar
Department of Biochemistry and Molecular Biology

Institute of Bioinformatics
University of Georgia

A vast majority of the published cancer studies in the past few decades was conducted on cancer cells rather than cancer tissues. Knowing that the microenvironment plays key roles in cancer initiation, development and metastasis, we must reassess the true relevance of many of these published results to cancer. We have recently developed a new framework for cancer studies by treating cancer as a survival process under increasingly more challenging stresses, which evolve as a cancer evolves. Our main hypothesis is that cell proliferation is a sustained and common pathway to survival under all major cancer-associated stresses. The availability of large-scale cancer tissue omic data enables us to systematically identify various stress types present in each tissue and how each cancer tumor responds to the encountered stresses, ultimately validating, refining or rejecting this fundamentally novel hypothesis. In this presentation, I will discuss (1) how data mining can be used to identify such stresses and their responses, leading to substantially improved understanding about cancer evolution from its onset; and (2) how data mining-based discoveries can be integrated with cell-based experimental findings, leading to more comprehensive understanding about the key drivers and facilitators of cancer evolution, hence potentially leading to much improved treatment paradigms for challenging cancer cases.

Reference: Ying Xu, Juan Cui, Dave Puett, Cancer Bioinformatics, Springer 2014.

Related Links

Additional Information

In Campus Calendar
Yes
Groups

Parker H. Petit Institute for Bioengineering and Bioscience (IBB)

Invited Audience
Undergraduate students, Faculty/Staff, Graduate students
Categories
Seminar/Lecture/Colloquium
Keywords
IBB, ICRC Seminar
Status
  • Created By: Colly Mitchell
  • Workflow Status: Published
  • Created On: Sep 2, 2014 - 12:12pm
  • Last Updated: Apr 13, 2017 - 5:21pm