To date ten different genes have been identified that are associated with inherited predisposition to metastatic disease, with evidence in both mouse model tumor systems and human patient populations. Unexpected, due to the complexity of the metastatic process, further analysis into the mechanistic basis of these genes has revealed that many of them appear to be functioning within a single molecular pathway. Due to the complexity of the metastatic cascade, which requires many different interactions and steps, it was anticipated that little overlap between mechanisms would be observed for most of the genes. The repeated association of the metastasis susceptibility genes with this single molecular pathway suggests that it may play a major role in the metastatic process in breast cancer. It is hoped that further characterization and investigation into the pathway may lead to greater insights into the underlying processes associated with metastatic disease. However, despite the convergence on this molecular pathway, evidence from our laboratory suggests that there must be additional pathways for tumor dissemination and metastasis. Human association studies interrogating the role of our metastasis susceptibility genes in breast cancer has demonstrated an association only in patients diagnosed without tumor cells in their sentinel lymph nodes. Patients who had tumor cells within the sentinel lymph nodes at diagnosis of the primary tumor showed no association between variants in the metastasis susceptibility genes and disease outcome. This result suggests that there must be at least two different genetically defined mechanisms for breast cancer metastasis that need to be investigated to fully understand tumor dissemination and metastasis. In addition to studying the intrinsic factors associated with metastasis, we have been investigating the effects of various environmental exposures on metastatic disease. In collaboration with investigators at UNC and NCSU we have demonstrated that high fat diet significantly increases the probability of developing metastatic disease. The increase in metastatic disease can be ascribed to changes in gene expression and cellular biology of not only the tumor cells themselves, but are also probably due to changes in non-tumor tissues induced by high fat diets. Furthermore, in collaboration other NIH investigators we have investigated the effect of specific cancer treatment regimens on metastatic spread and found some evidence that this specific treatment may in some cases promote tumor metastasis.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIABC011255-01
Application #
8157732
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
1
Fiscal Year
2010
Total Cost
$1,360,246
Indirect Cost
Name
National Cancer Institute Division of Basic Sciences
Department
Type
DUNS #
City
State
Country
Zip Code
Vera-Ramirez, Laura; Vodnala, Suman K; Nini, Ryan et al. (2018) Autophagy promotes the survival of dormant breast cancer cells and metastatic tumour recurrence. Nat Commun 9:1944
Vera-Ramirez, Laura; Hunter, Kent W (2017) Tumor cell dormancy as an adaptive cell stress response mechanism. F1000Res 6:2134
Yang, Yuan; Yang, Howard H; Hu, Ying et al. (2017) Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis. Oncotarget 8:30621-30643
Doran, Anthony G; Wong, Kim; Flint, Jonathan et al. (2016) Deep genome sequencing and variation analysis of 13 inbred mouse strains defines candidate phenotypic alleles, private variation and homozygous truncating mutations. Genome Biol 17:167
Faraji, Farhoud; Hu, Ying; Yang, Howard H et al. (2016) Post-transcriptional Control of Tumor Cell Autonomous Metastatic Potential by CCR4-NOT Deadenylase CNOT7. PLoS Genet 12:e1005820
Bai, Ling; Yang, Howard H; Hu, Ying et al. (2016) An Integrated Genome-Wide Systems Genetics Screen for Breast Cancer Metastasis Susceptibility Genes. PLoS Genet 12:e1005989
Ha, Ngoc-Han; Long, Jirong; Cai, Qiuyin et al. (2016) The Circadian Rhythm Gene Arntl2 Is a Metastasis Susceptibility Gene for Estrogen Receptor-Negative Breast Cancer. PLoS Genet 12:e1006267
Ha, Ngoc-Han; Hunter, Kent W (2014) Using a systems biology approach to understand and study the mechanisms of metastasis. Wiley Interdiscip Rev Syst Biol Med 6:107-14
Shukla, Anjali; Alsarraj, Jude; Hunter, Kent (2014) Understanding susceptibility to breast cancer metastasis: the genetic approach. Breast Cancer Manag 3:165-172
Faraji, Farhoud; Hu, Ying; Wu, Gang et al. (2014) An integrated systems genetics screen reveals the transcriptional structure of inherited predisposition to metastatic disease. Genome Res 24:227-40

Showing the most recent 10 out of 33 publications