Kit Lau Phones & Addresses
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101 Cobblestone Ln, San Ramon, CA 94583
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Atwater, CA
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19162 San Miguel Ave, Castro Valley, CA 94546
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Hayward, CA
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Merced, CA
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San Leandro, CA
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Oakland, CA
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Alameda, CA
Business Records
Name / Title
Company / Classification
Phones & Addresses
Procida LLC
Real Estate Investments
Real Estate Investments
328 Paramount Dr, Millbrae, CA 94030
President
K & P AUTO BODY SHOP, INC
564 Bryant St, San Francisco, CA 94107
President
TIP TOP FASHION,INC
1024 Grant Ave, San Francisco, CA 94133
M
Tic Eastwind Center 10, LLC
106 Behrens St, Richmond, CA 94530
Publications
Us Patents
Molecular Prognostic Signature For Predicting Breast Cancer Metastasis, And Uses Thereof
View pageUS Patent:
8614058, Dec 24, 2013
Filed:
Dec 15, 2009
Appl. No.:
12/638040
Inventors:
Kit Lau - Fremont CA, US
Alice Wang - Fremont CA, US
Alice Wang - Fremont CA, US
Assignee:
Celera Corporation - Alameda CA
International Classification:
C12Q 1/68
US Classification:
435 61
Abstract:
The present invention is based on the discovery of a unique 14-gene molecular prognostic signature that is useful for predicting breast cancer metastasis. In particular, the present invention relates to methods and reagents for detecting and profiling the expression levels of these genes, and methods of using the expression level information in predicting risk of breast cancer metastasis.
Molecular Prognostic Signature For Predicting Breast Cancer Distant Metastasis, And Uses Thereof
View pageUS Patent:
20080206769, Aug 28, 2008
Filed:
Jan 31, 2008
Appl. No.:
12/012530
Inventors:
Kit Lau - Fremont CA, US
Alice Wang - Lafayette CA, US
Alice Wang - Lafayette CA, US
Assignee:
APPLERA CORPORATION - Norwalk CT
International Classification:
C12Q 1/68
C40B 40/06
C40B 40/06
US Classification:
435 6, 506 16
Abstract:
The present invention is based on the discovery of a unique 14-gene molecular prognostic signature that is useful for predicting breast cancer metastasis. In particular, the present invention relates to methods and reagents for detecting and profiling the expression levels of these genes, and methods of using the expression level information in predicting risk of breast cancer metastasis.