scholarly journals Detection of breast cancer biomarkers in nipple aspirate fluid by SELDI-TOF and their identification by combined liquid chromatography-tandem mass spectrometry

Author(s):  
Jianbo He ◽  
Jeffrey Gornbein ◽  
Dejun Shen ◽  
Ming Lu ◽  
Leonor Rovai ◽  
...  
2021 ◽  
Vol 4 (2) ◽  
pp. e00147
Author(s):  
D.A. Olisov ◽  
V.V Chagovets ◽  
N.L. Starodubtseva ◽  
A.A. Smetnik ◽  
V.V. Rodionov ◽  
...  

Although estrogen contribution estrogen to breast cancer development is not fully understood, an effective method of their measurement, in the mammary gland might provide additional insight. In this study, we have developed a LC-MS/MS method of simultaneous quantification of estrone and estradiol in breast tissue samples. Analytes were extracted with methyl tert-butyl ether by sonication and derivatized with dansyl chloride. Estrogens were analyzed by liquid chromatography-tandem mass spectrometry with an electrospray ionization source. Accuracy and precision were better than 20% for most concentrations. Although estrone and estradiol levels in normal and malignant breast tissue samples analyzed using our method insignificantly differed. The method developed may be used in further studies aimed at evaluating a role estrogens in breast cancer risk.


Author(s):  
Britton Trabert ◽  
Roni T. Falk ◽  
Frank Z. Stanczyk ◽  
Katherine A. McGlynn ◽  
Louise A. Brinton ◽  
...  

AbstractRecent data suggest a novel role of progesterone in breast cancer etiology involving the progesterone metabolites 3α-dihydroprogesterone (3αHP), 5α-dihydroprogesterone (5αP), and 20α-dihydroprogesterone (20αHP). Accurate and precise measures of progesterone metabolites are needed for etiologic studies of hormonally related cancers. We have developed a high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method to measure five hormones, including progesterone, its precursor pregnenolone, and three progesterone metabolites, 5αP, 3αHP, and 20αHP. Hormone levels were measured in serum from 20 healthy volunteers (7 men, 5 premenopausal women, and 8 postmenopausal women). Two blinded, randomized aliquots per individual were assayed in each of four batches. The coefficients of variation (CV) and intraclass correlation coefficients (ICC) were calculated from the individual components of variance. The overall laboratory CVs were <3% and ICCs were uniformly high (>98%) for all hormones measured across sex/menopausal status groups. Our HPLC-MS/MS assay of progesterone metabolites demonstrated excellent sensitivity, laboratory reproducibility, and interindividual variation, suggesting that this serum assay is suitable for epidemiologic research. The high sensitivity of the assay, and thus the ability to quantify concentrations among postmenopausal women and men, further supports that this novel assay is suitable for studies of serum progesterone metabolite concentrations and risk of breast cancer or other hormonally related cancer.


2018 ◽  
Vol 10 (1) ◽  
pp. 370
Author(s):  
Yahdiana Harahap ◽  
Nathania Leony ◽  
Letare Merry Chresia Silalahi ◽  
Rizka Andalusia

Objective: This study was aimed to develop a highly sensitive and selective liquid chromatography-tandem mass spectrometry (LC-MS/MS) methodfor the simultaneous quantification of tamoxifen, endoxifen, and clomiphene (internal standard) levels in human plasma.Methods: Plasma samples from 40 patients with breast cancer were prepared through liquid–liquid extraction in ethyl acetate, and chromatographicseparation was performed on an Acquity UPLC BEH C18 column (1.7 μm, 2.1 mm×100 mm). The sample was eluted within 6.50 min at a flow rate of0.200 ml/min under a gradient of 0.2% formic acid and acetonitrile. The analytes were then quantified through triple quadrupole MS with electrosprayionization in the positive ion mode and multiple reaction monitoring.Results: The method was successfully used to quantify the plasma levels of tamoxifen and endoxifen, yielding respective measurement rangesof 42.19–249.23 ng/ml and 1.52–26.62 ng/ml. Overall, this detection method was sensitive, with lower limits of quantitation of 0.625 ng/ml fortamoxifen and 0.125 ng/ml for endoxifen. In addition, this method was precise and accurate, with a between-run variation range of 5.19–12.38% and%diff range of −10.82%–+13.10%.Conclusion: This method demonstrated that approximately 80% of patients had plasma levels of endoxifen exceeding the expected clinical threshold(5.9 ng/ml). This rapid and simple method could be used to monitor tamoxifen metabolism and adjust doses as needed to achieve maximumeffectiveness.


Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 1153
Author(s):  
Yu Ra Lee ◽  
Ji Won Lee ◽  
Jongki Hong ◽  
Bong Chul Chung

A simultaneous quantitative profiling method for polyamines and steroids using liquid chromatography–tandem mass spectrometry was developed and validated. We applied this method to human serum samples to simultaneously evaluate polyamine and steroid levels. Chemical derivatization was performed using isobutyl chloroformate to increase the sensitivity of polyamines. The method was validated, and the matrix effects were in the range of 78.7–126.3% and recoveries were in the range of 87.8–123.6%. Moreover, the intra-day accuracy and precision were in the ranges of 86.5–116.2% and 0.6–21.8%, respectively, whereas the inter-day accuracy and precision were in the ranges of 82.0–119.3% and 0.3–20.2%, respectively. The linearity was greater than 0.99. The validated method was used to investigate the differences in polyamine and steroid levels between treated breast cancer patients and normal controls. In our results, N-acetyl putrescine, N-acetyl spermidine, cadaverine, 1,3-diaminopropane, and epitestosterone were significantly higher in the breast cancer patient group. Through receiver operating characteristic curve analysis, all metabolites that were significantly increased in patient groups with areas under the curve >0.8 were shown. This mass spectrometry-based quantitative profiling method, used for the investigation of breast cancer, is also applicable to androgen-dependent diseases and polyamine-related diseases.


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