| Objective Discovery of serum protein fingerprinting coupled with a biomarker-matching algorithm distinguishes ovarian cancer from healthy people. Methods 24 cases of the patients with ovarian cancer,56 cases of the healthy people were tested by IMAC3 chip and proteinchip reader of Ciphergen Inc. Then all serum combined with the surface of the IMAC3-Cu proteinchip. Results At the M/Z values range from 4000Da to 10000Da, there were six protein contents in the serum of the two groups are obviously different. One protein of them , M/Z value at 4472Da, which can detect ovarian cancer patient from healthy people, can be regarded as a specific serum biomarker to ovarian cancer. Analysis of the spectra from 24 cases of the ovarian cancer patients and 56 cases of the control, correctly classified 24 of 24(100%) of ovarian cancer patients as ovarian cancer; 56 of 56(100%) of healthy people as healthy people, corresponding correct ratio was 100%(80/80). This result yielded 100% (24/24) sensitivity and 100% (56/56) specificity in learning mode. Correctly classified 23 of 24(95.83%) of ovarian cancer patients as ovarian cancer; 56 of 56(100%) of healthy people as healthy people, corresponding correct ratio was 98.75%(79/80). This result yielded 95.83% (23/24) sensitivity and 100% (56/56) specificity in test mode. Conclusion Ovarian cancer can be quickly and exactly diagnosed by this method with high sensitivity and specificity. That will be widely used in clinical application. |
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