The importance of temporal effects in evaluating the prognostic impact of joint ERPR expression in premenopausal women with node-positive breast cancer

AE Lethaby BH Mason VJ Harvey et al. (1996) ArticleTitleSurvival of women with node negative breast cancer in the Auckland region N Z Med J 109 330–333 SD Costa S Lange K Klinga et al. (2002) ArticleTitleFactors influencing the prognostic role of oestrogen and progesterone receptor levels in breast cancer—results of the analysis of 670 patients with 11 years of follow-up Euro J Cancer 38 1329–1334 SG Hilsenbeck PM Ravdin CA de Moor et al. (1998) ArticleTitleTime-dependence of hazard ratios for prognostic factors in breast cancer Breast Cancer Res Treat 52 227–237 K Collett F Hartveit R Skjaerven et al. (1996) ArticleTitlePrognostic role of oestrogen and progesterone receptors in patients with breast cancer: Relation to age and lymph node status J Clin Pathol 49 920–925 KB Horowitz WL McGuire OH Pearson et al. (1975) ArticleTitlePredicting response to endocrine therapy in human breast cancer: A hypothesis Science 189 726–727 KB Horowitz WL McGuire (1978) ArticleTitleEstrogen control of progesterone receptor in human breast cancer: Correlation with nuclear processing of the estrogen receptor J Biol Chem 253 2223–2228 M Cotterchio N Kreiger B Theis et al. (2003) ArticleTitleHormonal factos and the risk of breast cancer according to estrogen- and progesterone-receptor subgroup Cancer Epidemiol. Biomarkers Prev 12 1053–1060 GA Colditz BA Rosner WY Chen et al. (2004) ArticleTitleRisk factors for breast cancer according to estrogen and progesterone receptor statuas J␣Natl Cancer Inst 96 IssueID3 218–228 JD Potter JR Cerhan TA Sellers et al. (1995) ArticleTitleProgesterone and estrogen receptors and mammary neoplasia in the Iowa Women’s Health Study: How many kinds of breast cancer are there? Cancer Epidemio Biomarkers Prev 4 319–26 KY Yoo K Tajima S Miura et al. (1997) ArticleTitleBreast cancer risk factors according to combined estrogen and progesterone receptor status: A case–control analysis Am J Epidemiol 146 307–314 N Loman O Johannsson PO Bendahl et al. (1998) ArticleTitleSteroid receptors in hereditary breast carcinomas associated with BRCA1 or BRCA2 mutations or unknown susceptibility genes Cancer 83 310–319 WF Anderson KC Chu N Chatterjee et al. (2001) ArticleTitleTumor variants by hormone receptor expression in white patients with node-negative breast cancer from the surveillance, epidemiology, and end results database J Clin Oncol 19 18–27 CR Wenger S Beardslee MA Owens et al. (1993) ArticleTitleDNA ploidy, S-shape, and steroid receptors in more than 127,000 breast cancer patients Breast Cancer Res Treat 28 9–20 VJ Bardou G Arpino RM Elledge et al. (2003) ArticleTitleProgesterone receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer databases J Clin Oncol 21 1973–1979 DR McCready JA Chapman WM Hanna et al. (2000) ArticleTitleFactors affecting distant disease-free survival for primary invasive breast cancer: Use of a log-normal survival model Ann Surg Oncol 7 416–426 D Coradini MG Daidone P Boracchi et al. (2000) ArticleTitleTime-Dependent Relevance of Steroid Receptors in Breast Cancer J Clin Oncol 18 IssueID14 2702–2709 MN Levine VH Bramwell KI Pritchard et al. (1998) ArticleTitleRandomized trial of intensive cyclophosphamide, epirubicin, and fluorouracil chemotherapy compared with cyclophosphamide, methotrexate, and fluorouracil in premenopausal women with node-positive breast cancer J Clin Oncol 16 2651–2658 EL Kaplan P Meier (1958) ArticleTitleNon-parametric estimation for incomplete observation J Am Stat Assoc 53 457–471 R Peto J Peto (1958) ArticleTitleAsymptotically efficient rank invariant test procedures J R Stat Soc A 135 457–471 DR Cox (1972) ArticleTitleRegression models and life-tables J R Stat Soc B 34 187–202 KR Hess (1995) ArticleTitleGraphical methods for assessing violations of the proportional hazards assumptions in Cox regression Stat Med 14 1707–1723 D Collett (2003) Modeling Survival Data in Medical Research EditionNumber2 Chapman & Hall/CRC NY H Zhang B Singer (1999) Recursive Partitioning in the Health Science. Springer New York RJ Gray (1992) ArticleTitleFlexible methods for analyzing survival data using splines, with application to breast cancer prognosis J Am Statist Assoc 87 942–951 RJ Gray (1994) ArticleTitleSpline-based tests in survival analysis Biometrics 50 640–652 G Gebauer T Fehm N Lang et al. (2002) ArticleTitleTumor size, axillary lymph node status and steroid receptor expression in breast cancer: Prognostic relevance 5 years after surgery Breast Cancer Res Treat 75 167–173 M Vagundova V Vagunda E Jandakova et al. (1999) ArticleTitleAssessment of estrogen and progesterone receptors and their combined phenotypes in 287 breast carcinomas: Good correlation between immunohistochemical and ligand saturation analyses for ER but no PR; frequency of ER−PR+ phenotype greatly reduced by immunohistochemistry Breast Cancer Res Treat 57 97 WL McGuire (1991) ArticleTitleBreast cancer prognostic factors: Evaluation guidelines J Natl Cancer Inst 83 154–155 SA Fuqua SD Fitzgerald GC Chamness et al. (1991) ArticleTitleVariant human breast tumor estrogen receptor with constitutive transcriptional activity Cancer Res 51 105–109