Compositions for ovarian cancer assessment having improved specificty
AssigneesVermillion, Inc., The Johns Hopkins University
InventorsDONALD MUNROE, DANIEL W. CHAN, ZHEN ZHANG
Life of this patent
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Abstract
The present invention provides compositions and methods that provide a high degree of sensitivity and a high degree of specificity for the preoperative assessment of ovarian tumors in a variety of subject's (e.g., pre- and post-menopausal women) having a variety of ovarian cancer types (e.g., clear cell/mucinous, low malignant potential, high malignant potential) and at a variety of disease states (e.g., early and late stage).
Claims21
A panel for pre-operatively assessing a subject's risk of having ovarian cancer, the panel consisting of markers CA125, ApoA1, Prealbumin, Transferrin, and Beta2 microglobulin or CA125, ApoA1, Transferrin, human epidimis protein 4 (HE4) and follicle-stimulating hormone (FSH).
4-10. (canceled)
A panel for pre-operatively assessing a subject's risk of having ovarian cancer, the panel consisting of markers Transthyretin/prealbumin (TT), Apolipoprotein A-1 (Apo A-1), 2-Microglobulin (beta 2M), Transferrin (Tfr), Cancer Antigen 125 (CA 125 II), IGFBP2, IL6, HE4, and FSH.
A method for pre-operatively assessing a subject's risk of having ovarian cancer, the method comprising
- (a) measuring the level of a panel of markers selected from the group consisting of Transthyretin/prealbumin (TT), Apolipoprotein A-1 (Apo A-1), 2-Microglobulin (beta 2M), Transferrin (Tfr), Cancer Antigen 125 (CA 125 II), IGFBP2, IL6, HE4, and FSH;
- CA125-II, transthyretin/prealbumin, IGFBP2, IL6, and FSH;
- CA125, HE4, IGFBP2, IL6, and TAG 72/CA72-4;
- CA125, Transthyretin/prealbumin, TRF, and TAG 72/CA724;
- CA125, Transthyretin/prealbumin, TRF, HE4, and TAG 72/CA724;
- Prealbumin CA125 and HE4;
- CA125 and HE4 and any one of Prealbumin or Transferrin or ApoA1;
- in a biological sample derived from the subject;
- and
- (b) comparing the level of said markers to a reference level, wherein at a fixed sensitivity of 90% the specificity is at least about 75%.
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36-37. (canceled)
Dependencies are inferred from the claim text.