کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9316253 | 1251259 | 2005 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
SELDI-TOF-MS: the proteomics and bioinformatics approaches in the diagnosis of breast cancer
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کلمات کلیدی
LOOCVROCMLPBBDANNAUC - AUCmulti-layer perception - ادراک چند لایهBioinformatics - بیوانفورماتیک Leave-one-out cross-validation - ترک یک اعتبار متقابلDiagnosis - تشخیصHealthy women - زنان سالمBreast cancer - سرطان پستانArtificial Neural Network - شبکه عصبی مصنوعیSELDI-TOF - فروخته شده-TOFSELDI-TOF-MS - فروخته شده-TOF-MSSupport vector machines - ماشین بردار پشتیبانیSVM - ماشین بردار پشتیبانیarea under the ROC curve - منطقه تحت منحنی ROCProteomics - پروتئومیکسreceiver operating characteristic - گیرنده عامل عامل
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
زنان، زایمان و بهداشت زنان
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چکیده انگلیسی
Breast cancer has never had any good serum tumor markers. Therefore, we developed and evaluated a proteomics approach to searching for new biomarkers and building diagnostic models. SELDI-TOF-MS ProteinChip was used to detect the serum protein patterns of 49 breast cancer patients, 51 patients with benign breast diseases, and 33 healthy women. The diagnostic models were developed and validated using bioinformatics tools such as artificial neural networks and discriminant analysis. In total, four models were built and their sensitivities and specificities were satisfactory. The abilities of these models to diagnose stage I breast cancer were not worse than for stages II-IV (P>0.05). Four candidate biomarkers of breast cancer were found. The high sensitivity and specificity achieved by this method show great potential for the early detection of breast cancer and facilitation of discovering new and improved biomarkers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Breast - Volume 14, Issue 4, August 2005, Pages 250-255
Journal: The Breast - Volume 14, Issue 4, August 2005, Pages 250-255
نویسندگان
Yue Hu, Suzhan Zhang, Jiekai Yu, Jian Liu, Shu Zheng,