廣為人知的男性前列腺癌血液PSA檢測可能作為乳腺癌迫切需要的新測試而獲得第二次生命，而乳腺癌是女性最常見的癌癥形式，科學(xué)家們在美國化學(xué)協(xié)會期刊《分析化學(xué)》上正報道了一項新研究。
Chien Chou和同事們說,，血液測試中測量的前列腺癌特異抗原（PSA）是女性乳腺癌的潛在生物標(biāo)志物。但是，健康女性的PSA水平通常很低以致只有超敏測試能測量到它們,。
為提高女性PSA檢測，研究人員建立了一種用金納米粒子和PSA抗體經(jīng)熒光信號測定記錄PSA水平的微光導(dǎo)纖維生物傳感器,。生物傳感器敏感性（在乳腺癌病人中測定升高的PSA水平的能力）與特異性（如何避免乳腺癌錯誤預(yù)測）可與用PSA作為前列腺癌生物標(biāo)志物的檢測相當(dāng),。"而且，這些值可與乳腺癌當(dāng)前篩查方法的敏感性和特異性相媲美,，這些乳腺癌當(dāng)前篩查方法有臨床檢查與乳房X線照片,。"科學(xué)家們這樣報道。
感謝長庚大學(xué)長庚紀(jì)念醫(yī)院和臺灣科學(xué)委員會的資助。（生物谷bioon.com）
doi:10.1021/ac200754x
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Discrimination of breast cancer by measuring prostate-specific antigen levels in women's serum.
Chang YF, Hung SH, Lee YJ, Chen RC, Su LC, Lai CS, Chou C.
Abstract Prostate-specific antigen (PSA) has been reported to be a potential biomarker of breast cancer. Serum PSA of normal women is around 1 pg/mL, which is usually undetectable by current assay methods; thus an ultrasensitive measurement of PSA expression in women's serum is necessary to distinguish normal from malignant breast diseases. To enhance the sensitivity of conventional immunoassay technology for the detection of PSA in sera, we adopted a localized surface plasmon coupled fluorescence fiber-optic biosensor, which combines a sandwich immunoassay with the localized surface plasmon technique. The concentration of total PSA (t-PSA) (from 0.1 to 1000 pg/mL) in phosphate-buffered saline solution and the normalized fluorescence signal exhibit a linear relationship where the correlation coefficient is 0.9574. In addition, the concentration of additional t-PSA in 10-fold-diluted healthly women's serum across a similar range was measured. The correlation coefficient for this measurement is 0.9142. In clinical serum samples, moreover, the experimental results of t-PSA detection show that both the mean value and median of normalized fluorescence signals in the breast cancer group (155.2 and 145.7, respectively) are higher than those in the noncancer group (46.6 and 37.1, respectively). We also examined the receiver operating characteristic curve for t-PSA, and the area under the curve (AUC) is estimated to be 0.9063, the AUC being used to measure the performance of a test to correctly identify diseased and nondiseased subjects.
