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Second Harmonic Generation to Study ...
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Burke, Kathleen Anne.
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Second Harmonic Generation to Study Breast Cancer Progression and Predict Metastatic Potential.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Second Harmonic Generation to Study Breast Cancer Progression and Predict Metastatic Potential./
作者:
Burke, Kathleen Anne.
面頁冊數:
133 p.
附註:
Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
Contained By:
Dissertation Abstracts International76-09B(E).
標題:
Biomedical engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3703204
ISBN:
9781321749342
Second Harmonic Generation to Study Breast Cancer Progression and Predict Metastatic Potential.
Burke, Kathleen Anne.
Second Harmonic Generation to Study Breast Cancer Progression and Predict Metastatic Potential.
- 133 p.
Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
Thesis (Ph.D.)--University of Rochester, 2015.
This item is not available from ProQuest Dissertations & Theses.
90% of cancer mortality is a result of metastasis of a tumor to a secondary location. During metastasis tumor cells interact with the tumor extracellular matrix. Collagen, a key component of the extracellular matrix (ECM), produces an intrinsic optical signal caused by the scattering phenomenon Second harmonic generation (SHG), which allows us to monitor changes in the tumor ECM throughout tumor progression. My research uses SHG imaging of breast tumor models to better understand the role ECM changes play in tumor metastasis.
ISBN: 9781321749342Subjects--Topical Terms:
535387
Biomedical engineering.
Second Harmonic Generation to Study Breast Cancer Progression and Predict Metastatic Potential.
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90% of cancer mortality is a result of metastasis of a tumor to a secondary location. During metastasis tumor cells interact with the tumor extracellular matrix. Collagen, a key component of the extracellular matrix (ECM), produces an intrinsic optical signal caused by the scattering phenomenon Second harmonic generation (SHG), which allows us to monitor changes in the tumor ECM throughout tumor progression. My research uses SHG imaging of breast tumor models to better understand the role ECM changes play in tumor metastasis.
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The first study in this thesis showed a series of changes in SHG signals that occur throughout ductal and lobular carcinoma progression, revealing a complex evolution of the matrix with grade and stage. These results suggested that in invasive ductal carcinoma tumors there might be a significant relationship between the tumor collagen microstructure (which affects SHG) and its metastatic potential. We then explored the possibility that the tumor collagen microstructure may provide additional information on tumor metastatic potential and future patient outcomes. Results showed that our SHG measurements can predict metastasis-free survival and overall survival rates in estrogen receptor positive, node-negative patients. Within this population, patients treated with adjuvant hormonal therapy for recurrent disease had a collagen microstructure that was significantly related to progression-free survival. These SHG measurements are also related to overall survival in stage I colorectal adenocarcinoma, pointing to a possible shared mechanism of metastasis linking the collagen microstructural changes and tumor metastatic capacity. Analyzing collagen microstructure may therefore aid in predicting the overall survival rates in patients, thereby reducing over-treatment with chemotherapy in both tumor types.
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We then transitioned to a "clean" environment of collagen gels to evaluate the possibility that the detected changes in collagen microstructure affect individual tumor cell motility. This work revealed a significant relationship between SHG measures of collagen gel microstructure and the total distance travelled by cells moving on the gels. These experiments suggest that collagen microstructure influences tumor cell motility and that the observed relationship between metastasis and primary tumor SHG signatures is due at least in part to an effect of the structure on tumor cell motility.
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