Serum biomarker profiles and response to neoadjuvant chemotherapy for locally advanced breast cancer

被引:49
|
作者
Nolen, Brian M. [1 ]
Marks, Jeffrey R. [2 ]
Ta'san, Shlomo [3 ]
Rand, Alex [3 ]
Luong, The Minh [4 ]
Wang, Yun [4 ]
Blackwell, Kimberly [5 ,6 ]
Lokshin, Anna E. [1 ,7 ,8 ,9 ]
机构
[1] Univ Pittsburgh, Pittsburgh Canc Inst, Hillman Canc Ctr, Pittsburgh, PA 15213 USA
[2] Duke Univ, Med Ctr, Dept Surg, Durham, NC 27710 USA
[3] Carnegie Mellon Univ, Dept Math Sci, Pittsburgh, PA 15213 USA
[4] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Biostat, Pittsburgh, PA 15261 USA
[5] Duke Univ, Med Ctr, Dept Radiat Oncol, Durham, NC 27710 USA
[6] Duke Univ, Med Ctr, Dept Med, Durham, NC 27710 USA
[7] Univ Pittsburgh, Sch Med, Dept Med, Pittsburgh, PA 15213 USA
[8] Univ Pittsburgh, Dept Pathol, Pittsburgh, PA 15261 USA
[9] Univ Pittsburgh, Dept Obstet & Gynecol RS, Pittsburgh, PA 15213 USA
来源
BREAST CANCER RESEARCH | 2008年 / 10卷 / 03期
关键词
D O I
10.1186/bcr2096
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction Neoadjuvant chemotherapy has become the standard of care for the diverse population of women diagnosed with locally advanced breast cancer. Serum biomarker levels are increasingly being investigated for their ability to predict therapy response and aid in the development of individualized treatment regimens. Multianalyte profiles may offer greater predictive power for neoadjuvant treatment response than the individual biomarkers currently in use. Methods Serum samples were collected from 44 patients enrolled in a phase I-II, open-label study of liposomal doxorubicin and paclitaxel in combination with whole breast hyperthermia for the neoadjuvant treatment of locally advanced breast cancer (stage IIB or stage III). Samples were collected prior to each of four rounds of treatment and prior to definitive surgery. Samples were assayed by Luminex assay for 55 serum biomarkers, including cancer antigens, growth/angiogenic factors, apoptosis-related molecules, metastasis-related molecules, adhesion molecules, adipokines, cytokines, chemokines, hormones, and other proteins. Results Biomarker levels were compared retrospectively with clinical and pathologic treatment responses. Univariate analysis of the data identified several groups of biomarkers that differed significantly among treatment outcome groups early in the course of neoadjuvant chemotherapy. Multivariate statistical analysis revealed multibiomarker panels that could differentiate between treatment response groups with high sensitivity and specificity. Conclusion We demonstrate here that serum biomarker profiles may offer predictive power concerning treatment response and outcome in the neoadjuvant setting. The continued development of these findings will be of considerable clinical utility in the design of treatment regimens for individual breast cancer patients.
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