Cachexia is an underexplored and yet devastating consequence of cancer that is the cause of 20% of all cancer related deaths. Cachexia inducing tumors cause a `wasting away' of the body. Defined as a weight loss of 5% over 3 to 6 months, the condition is associated with poor treatment outcome, fatigue, and extremely poor quality of life. Because of the multi-factorial characteristics of this condition, it has been difficult to understand the impact of the tumor on body organs, and the sequence of events that leads to this lethal condition. To date there are no known cures for this condition. Current molecular and functional imaging approaches are ideally suited to understand critical metabolic changes in the body with the onset of cachexia. Since the syndrome occurs with the highest frequency and severity in pancreatic cancer, we intend to use molecular and functional imaging to understand cancer-induced cachexia and the cachexia cascade in human pancreatic cancer xenografts and human subjects.
In Aim1 we will use a myoblast-based reporter system to detect the onset of cachexia in human xenograft models of pancreatic ductal adenocarcinoma (PDAC), the most common pancreatic cancer, and follow temporal changes in organ metabolites noninvasively with 1H MRSI, and in extracts of organs, muscle, and serum with high resolution 1H MRS.
In Aim 2 we will validate the most easily translatable 1H MRS indices identified in Aim 1 in a pilot study of 20 normal volunteers, 38 non- cachectic PDAC patients, and 38 cachectic PDAC patients, and evaluate changes in serum in retrospective samples from a data bank, and in prospective studies from the PDAC patients. The studies will reveal new perspectives of this condition that may, in the future, lead to effective treatments. The ability to noninvasively detec this condition early on with noninvasive imaging, preferably before or with minimal weight loss, will provide the opportunity to treat the condition before it becomes refractory, design and optimize therapeutic strategies, and detect response to such treatments.

Public Health Relevance

Cachexia induced by cancer is one of the most under explored and yet devastating consequences of cancer, and is the cause for 20% of all cancer related deaths. Cachexia-induced weight loss of 5% over 3 to 6 months is associated with poor treatment outcome, fatigue and poor quality of life, and a weight loss of 30% is frequently lethal. The ability to reverse or control this condition would have a significant impact on treatment outcome, quality of life, and mortality, but to date there are no known cures for this condition. I this application, we will use metabolic imaging in combination with molecular characterization to understand cancer-induced cachexia and the cachexia cascade in pancreatic cancer xenograft models and human subjects.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA193365-04
Application #
9605270
Study Section
Clinical Molecular Imaging and Probe Development (CMIP)
Program Officer
Menkens, Anne E
Project Start
2015-12-01
Project End
2020-11-30
Budget Start
2018-12-01
Budget End
2019-11-30
Support Year
4
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21205
Bhujwalla, Zaver M; Kakkad, Samata; Chen, Zhihang et al. (2018) Theranostics and metabolotheranostics for precision medicine in oncology. J Magn Reson 291:141-151
Chen, Zhihang; Krishnamachary, Balaji; Penet, Marie-France et al. (2018) Acid-degradable Dextran as an Image Guided siRNA Carrier for COX-2 Downregulation. Theranostics 8:1-12
Shah, Tariq; Krishnamachary, Balaji; Wildes, Flonne et al. (2018) Molecular causes of elevated phosphoethanolamine in breast and pancreatic cancer cells. NMR Biomed 31:e3936
Penet, Marie-France; Kakkad, Samata; Pathak, Arvind P et al. (2017) Structure and Function of a Prostate Cancer Dissemination-Permissive Extracellular Matrix. Clin Cancer Res 23:2245-2254
Bharti, Santosh K; Wildes, Flonné; Hung, Chien-Fu et al. (2017) Metabolomic characterization of experimental ovarian cancer ascitic fluid. Metabolomics 13:
Penet, Marie-France; Jin, Jiefu; Chen, Zhihang et al. (2016) Magnetic Resonance Imaging and Spectroscopy in Cancer Theranostic Imaging. Top Magn Reson Imaging 25:215-221
Winnard Jr, Paul T; Bharti, Santosh K; Penet, Marie-France et al. (2016) Detection of Pancreatic Cancer-Induced Cachexia Using a Fluorescent Myoblast Reporter System and Analysis of Metabolite Abundance. Cancer Res 76:1441-50