| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000331018 |
| 005 | | 20241107162609 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438148017 |
| 035 | |
▼a (MiAaPQ)AAI10831105 |
| 035 | |
▼a (MiAaPQ)grad.msu:16161 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 612 |
| 100 | 1 |
▼a Rennhack, Jonathan Paul. |
| 245 | 10 |
▼a Clinical Insights from Mouse Models of Breast Cancer. |
| 260 | |
▼a [S.l.] :
▼b Michigan State University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 208 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
| 500 | |
▼a Adviser: Eran R. Andrechek. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Michigan State University, 2018. |
| 520 | |
▼a Breast cancer presents an enormous public health concern. One out of eight women will experience breast cancer in her lifetime. To understand the root of breast cancer initiation and progression, many multi "-omic" projects have been undertaken. |
| 520 | |
▼a To begin to address this critical need, we started by identifying genomic copy number alterations (CNAs) in 600 tumors across 27 major mouse models of breast cancer through the application of a predictive algorithm to publicly available gene exp |
| 520 | |
▼a Due to the predictive nature of the previous study, we have completed whole genome sequencing and transcriptome profiling of two widely used mouse models of breast cancer, MMTV-Neu and MMTV-PyMT. This genomic information was integrated with phen |
| 520 | |
▼a To functionalize this data, we followed up on one key amplification event that we found on chromosomes 11D. We identified this event to be associated with worse distant metastasis free survival due to the presence of Co11a1 and CHAD within the a |
| 520 | |
▼a Here we also identified a conserved mutation in phosphotyrosine receptor phosphatase type H (Ptprh). The mutation is highly conserved in mouse models of breast cancer and is identified to be mutant in 81% of MMTV-PyMT tumors. A key finding is th |
| 520 | |
▼a Through these studies we have identified key genomic alterations within mouse models of breast cancer. Both of the explored events serve as biomarkers of treatment response and could change the course of therapy for patients. We believe that the |
| 590 | |
▼a School code: 0128. |
| 650 | 4 |
▼a Physiology. |
| 690 | |
▼a 0719 |
| 710 | 20 |
▼a Michigan State University.
▼b Physiology - Doctor of Philosophy. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0128 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999498
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |