Scoring system for the prediction of cancer recurrence

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C702S020000, C703S011000, C703S013000, C435S006120

Reexamination Certificate

active

07747389

ABSTRACT:
The present invention relates to a scoring system for the prediction of cancer recurrence. More particularly, the present invention concerns with the selection of genes and/or proteins, and generation of formulae with the selected genes and/or proteins for the prediction of cancer recurrence by measuring the expression of genes and/or proteins of human tumor tissues, and comparing their patterns with those of the gene and/or protein expression of human primary tumors from patients who have cancer recurrence and those who do not have cancer recurrence. The present invention also relates to a kit for performing the method of the present invention comprising DNA chip, oligonucleotide chip, protein chip, peptides, antibodies, probes and primers that are necessary for effecting DNA microarrays, oligonucleotide microarrays, protein arrays, northern blotting, in situ hybridization, RNase protection assays, western blotting, ELISA assays, reverse transcription polymerase-chain reaction (hereinafter referred to as RT-PCR) to examine the expression of at least 2 or more of genes and/or proteins, preferably 4 or more of genes and/or proteins, more preferably 6 or more of genes and/or proteins, and most preferably 12 or more of genes and/or proteins, that are indicative of cancer recurrence.

REFERENCES:
patent: 5800347 (1998-09-01), Skates et al.
patent: 5862304 (1999-01-01), Ravdin et al.
patent: 6025128 (2000-02-01), Veltri et al.
patent: 6030341 (2000-02-01), Skates et al.
patent: 6128608 (2000-10-01), Barnhill
patent: 6647341 (2003-11-01), Golub et al.
patent: 7243112 (2007-07-01), Qu et al.
patent: 2001/0036631 (2001-11-01), McGraft et al.
patent: 2002/0192686 (2002-12-01), Adorjan et al.
patent: 7980691 (1991-12-01), None
patent: 7830598 (1998-12-01), None
patent: 5897600 (2001-01-01), None
patent: 7701100 (2001-04-01), None
patent: 1465801 (2001-05-01), None
patent: 1806701 (2001-06-01), None
patent: 2229427 (1997-03-01), None
patent: 19840671 (2000-03-01), None
patent: 0957749 (1999-11-01), None
patent: 1043676 (2000-10-01), None
patent: 2001-017171 (2001-01-01), None
patent: WO 91/18364 (1991-11-01), None
patent: WO 97/09925 (1997-03-01), None
patent: WO 97/09925 (1997-03-01), None
patent: WO 98/56953 (1998-12-01), None
patent: WO 01/00083 (2001-01-01), None
patent: WO 01/18542 (2001-03-01), None
patent: WO 01/18542 (2001-03-01), None
patent: WO 01/33228 (2001-05-01), None
patent: WO 01/33228 (2001-05-01), None
patent: WO 01/40517 (2001-06-01), None
patent: WO 01/40517 (2001-06-01), None
Cho et al. (FEBS Letters 571 (2004) 93-98).
Duda, R.O., et al.,Pattern Classification, Second Edition, John Wiley and Sons, Inc., New York: pp. 117, 2000.
Jain, A.K., et al., “Statistical Pattern Recognition: A Review,”IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):4-37 (2000).
Oka, M., et al., “Prediction of early intrahepatic recurrence in hepatocellular carcinoma after curative resection by oligonucleotide microarray,”The 60thAnnual Meeting ofJapanese Cancer Society, Sep. 26, 2001, Abstract S4-6.
Aburatani, H., “Clinical Application of DNA Chip Technology”,Rinshokagaku, 30:7-14 (2001). Translated Into English From Japanese Document.
Alizadeh, A.A., et al., “Distinct Types of Diffuse Large B-cell Lymphoma Identified by Gene Expression Profiling”,Nature, 403:503-511 (2000).
Anzai, H., et al., “Expression of Metastasis-related Genes in Surgical Specimens of Human Gastric Cancer can Predict Disease Recurrence”,European J. of Cancer, 34(4):558-565 (1998).
Ben-Dor, A., et al., “Tissue Classification with Gene Expression Profiles”,J. Comput. Biol., 7(3/4):559-583 (2000).
Golub, T.R., et al., “Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring”,Science, 286:531-537 (1999).
Mauri, F.A., et al., “Prognostic Value of Estrogen Receptor Status can be Improved by Combined Evaluation of p53, Bc12 and PgR Expression: An Immunohistochemical Study on Breast Carcinoma with Long-term Follow-up”,Int. J. Oncol., 15:1137-1147 (1999).
Xiong, Momaio et al., “Computational Methods for Gene Expression-Based Tumor Classification,”BioTechniques29: 1264-1270 (Dec. 2000).

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Scoring system for the prediction of cancer recurrence does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Scoring system for the prediction of cancer recurrence, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Scoring system for the prediction of cancer recurrence will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4236377

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.