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1.
Breast J ; 13(4): 337-45, 2007.
Article in English | MEDLINE | ID: mdl-17593037

ABSTRACT

We hypothesized that amplification or overexpression of HER-2 (c-erbB-2), the Ki-67 antigen (Mib1), cyclin D-1 (CD1), interleukin-6 (IL-6), or the transforming growth factor beta II receptor, (TGFbetaRII), would predict relapse in women with early stage, estrogen (ER) and/or progesterone receptor (PR) positive breast cancer treated with tamoxifen. Conditional logistic regression models and a new novel analytic method - support vector machines (SVM) were used to assess the effect of multiple variables on treatment outcome. All patients had stage I-IIIa breast cancer (AJCC version 5). We paired 63 patients who were disease-free on or after tamoxifen with 63 patients who had relapsed (total 126); both disease-free and relapsed patients were matched by duration of tamoxifen therapy and time to recurrence. These 126 patients also served as the training set for SVM analysis and 18 other patients used as a validation set for SVM. In a multivariate analysis, larger tumor size, increasing extent of lymph node involvement, and poorer tumor grade were significant predictors of relapse. When HER-2 or CD1 were added to the model both were borderline significant predictors of relapse. The SVM model, after including all of the clinical and marker variables in the 126 patients as a training set, correctly predicted relapse in 78% of the 18 patient validation samples. In this trial, HER-2 and CD1 proved of borderline significance as predictive factors for recurrence on tamoxifen. An SVM model that included all clinical and biologic variables correctly predicted relapse in >75% of patients.


Subject(s)
Antineoplastic Agents, Hormonal/therapeutic use , Biomarkers/metabolism , Breast Neoplasms/drug therapy , Breast Neoplasms/metabolism , Neoplasm Recurrence, Local , Receptors, Steroid/metabolism , Tamoxifen/therapeutic use , Breast Neoplasms/pathology , Cyclin D1/metabolism , Female , Humans , Interleukin-6/metabolism , Middle Aged , Models, Biological , Multivariate Analysis , Neoplasm Staging , Predictive Value of Tests , Protein Serine-Threonine Kinases , Receptor, ErbB-2/metabolism , Receptor, Transforming Growth Factor-beta Type II , Receptors, Estrogen/metabolism , Receptors, Progesterone/metabolism , Receptors, Transforming Growth Factor beta/metabolism
2.
Am J Surg Pathol ; 26(1): 70-5, 2002 Jan.
Article in English | MEDLINE | ID: mdl-11756771

ABSTRACT

There is considerable interobserver variation in the diagnosis of low-grade squamous intraepithelial lesion that involves mature squamous epithelium. Our aim was to evaluate the utility of MIB-1 immunostaining as an adjunct test to increase diagnostic accuracy. Consecutive cervical biopsies originally diagnosed as normal (n = 26) or low-grade squamous intraepithelial lesion (n = 23) were reviewed by three pathologists to obtain a consensus diagnosis. MIB-1 immunostaining was performed, and positive staining was defined as a cluster of at least two stained nuclei in the upper two thirds of the epithelial thickness. Human papillomavirus (HPV) DNA detection was performed using a polymerase chain reaction assay. All cases were subsequently reclassified as low-grade squamous intraepithelial lesion (LSIL) or normal (NL) when two or three of three gold standard criteria were satisfied (LSIL gold standard criteria = consensus diagnosis of LSIL, HPV+, MIB-1+; NL gold standard criteria = consensus diagnosis of NL, HPV-, MIB-1-). Using the gold standard diagnoses, we have identified that 14 normal cases (36%) were originally overdiagnosed as LSIL, and one LSIL case (10%) was originally underdiagnosed as normal. All MIB-1-positive cases were HPV+ and identified as LSIL in the consensus review. All MIB-1-negative cases were NL by gold standard criteria. The sensitivity (1.0) and the specificity (1.0) of MIB-1 staining for identifying LSIL were superior to the sensitivity (0.9) and the specificity (0.8) of HPV testing. In conclusion, MIB-1 is a highly sensitive and specific marker for identifying low-grade squamous intraepithelial lesion and is helpful in verifying the diagnosis of equivocal cases.


Subject(s)
Biomarkers, Tumor , Nuclear Proteins , Uterine Cervical Dysplasia/diagnosis , Uterine Cervical Neoplasms/diagnosis , Antigens, Nuclear , Female , Humans , Immunohistochemistry , Ki-67 Antigen , Retrospective Studies , Sensitivity and Specificity , Uterine Cervical Neoplasms/pathology , Uterine Cervical Dysplasia/pathology
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