Over the past two decades, the molecular genetic analyses of human cancers have led to unprecedented insights into these diseases. This is especially apparent in human colorectal cancers where a series of somatic mutations that drive the process has been delineated, the genetic bases of several inherited predispositions to cancer have been defined, and detailed expression analyses have identified a myriad of expression changes associated with neoplastic growth. The goals of this project are to apply this new knowledge to the improved management of human colorectal cancer.
The aims of this project can be divided into efforts designed to use somatic mutations (Aim 1), germline mutations (Aim 2), and gene expression analyses (Aim 3) to improve early detection, prevention and management of human colorectal tumors. The objectives of Aim 1 are to use somatic mutations to detect early colorectal tumors when they are still curable and to categorize cancers according to their genetic signatures. The objective of Aim 2 is to improve our ability to identify individuals with inherited predispositions to colon cancer. The objective of Aim 3 is to use gene expression analysis to identify tumor markers that may be useful for early diagnosis. This project will thereby combine efforts originally initiated in current SPORE projects 0012 and 0014. Though the aims may seem diverse, their inclusion in a single project benefits from the sharing of key personnel and patient resources. Likewise, the aims may seem ambitious, but each is supported by substantial preliminary data.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
2P50CA062924-09
Application #
6670278
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2002-07-01
Project End
2007-06-30
Budget Start
Budget End
Support Year
9
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Type
DUNS #
045911138
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Li, Yuguo; Qiao, Yuan; Chen, Hanwei et al. (2018) Characterization of tumor vascular permeability using natural dextrans and CEST MRI. Magn Reson Med 79:1001-1009
Saung, May Tun; Muth, Stephen; Ding, Ding et al. (2018) Targeting myeloid-inflamed tumor with anti-CSF-1R antibody expands CD137+ effector T-cells in the murine model of pancreatic cancer. J Immunother Cancer 6:118
Canto, Marcia Irene; Almario, Jose Alejandro; Schulick, Richard D et al. (2018) Risk of Neoplastic Progression in Individuals at High Risk for Pancreatic Cancer Undergoing Long-term Surveillance. Gastroenterology 155:740-751.e2
Makohon-Moore, Alvin P; Matsukuma, Karen; Zhang, Ming et al. (2018) Precancerous neoplastic cells can move through the pancreatic ductal system. Nature 561:201-205
Chu, Nam; Salguero, Antonieta L; Liu, Albert Z et al. (2018) Akt Kinase Activation Mechanisms Revealed Using Protein Semisynthesis. Cell 174:897-907.e14
Felsenstein, Matthäus; Noë, Michaël; Masica, David L et al. (2018) IPMNs with co-occurring invasive cancers: neighbours but not always relatives. Gut 67:1652-1662
Grant, Robert C; Denroche, Robert E; Borgida, Ayelet et al. (2018) Exome-Wide Association Study of Pancreatic Cancer Risk. Gastroenterology 154:719-722.e3
Tie, Jeanne; Cohen, Joshua D; Wang, Yuxuan et al. (2018) Serial circulating tumour DNA analysis during multimodality treatment of locally advanced rectal cancer: a prospective biomarker study. Gut :
Adler, B L; Pezhouh, M K; Kim, A et al. (2018) Histopathological and immunophenotypic features of ipilimumab-associated colitis compared to ulcerative colitis. J Intern Med 283:568-577
Ma, Qianqian; Gabelli, Sandra B; Raben, Daniel M (2018) Diacylglycerol kinases: Relationship to other lipid kinases. Adv Biol Regul :

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