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Standard Traditional Meta-Analysis •Different times since start of treatment •Mantel-Haenszel approach Analysis of a Single Time Interval (1) Treatment Deaths Survivors Total A B Total 6 5 11 20 24 44 26 29 55 Treatment A: Observed deaths = 0 Expected deaths = E Variance Odds ratio =V = OR Log (OR) = LOR =6 = (11 × 26)/55 = 5.200 = (11 × 44 × 26 × 29)/552 × 54) = 2.234 = (6/20)/5/24) = 1.440 = 0.365 Analysis of a Single Time Interval (2) Log (OR) LORapprox Variance (LOR) SD 95% CI (LOR) 95% CI (OR) = 0.365 = (0 – E)/V = 0.358 = 1/V = 0.448 = 0.669 = (0.358 – 1.96 × 0.669) to (0.358 + 1.96 × 0.669) = (- 0.953, 1.669) = (0.38, 5.41) Analysis of Multiple Time Intervals Time Interval 0 E V 1 2 3 : 01 02 03 : E1 E2 E3 : V1 V2 V3 : 0 E V Meta-analysis log (OR) etc. = (0 - E)/V Standard Traditional Meta-Analysis •Different hospitals within a trial Standard Traditional Meta-Analysis •Checking the assumptions: is the hazard ratio between treatments constant between different circumstances (time since treatment began, prognostic factors, hospitals, etc)? •Power to test these assumptions is generally weak - need biological insight: e.g. ER+ve vs ER-ve (1) Make bold, simplifying assumptions; look at as wide a range of data as possible; be critical but not pernickety. Do not be disturbed if the data does not exactly fit the model. (2) It is important not to place too much reliance on any single piece of evidence, since some data is bound to be misleading if not plain wrong. (3) Make no assumptions that can not be doubted from time to time. (4) Almost all aspects of life are engineered at the molecular level, and without understanding molecules we can only have a very sketchy understanding of life itself. See Francis Crick "What Mad Pursuit". ‘New’ Forms of Meta-Analysis •Different trials •Different trials with ‘slightly’ different regimens •Different trials with ‘slightly’ different definitions of prognostic factors that influence drug response ‘New’ Forms of Meta-Analysis •What contributes to differences between trials? •Regimens used? •General health of patients? •Support services? Increase in Breast Cancer Risk with Use of ERT and EPRT HRT Type Increase in risk per 5 years of use Magnusson et al.a ERT EPRT 16% 40% Schairer et al.a ERT EPRT 1% 40% Ross et al.c ERT EPRT 6% 24% Study aInt J Cancer 1999; 81:339-344. bJAMA 2000; 283:485-535. cJ Natl Cancer Inst 2000; 92:328-332. B056-2 Hawaii/Los Angeles MEC Study: HRT use HRT W AA NH JA L-US L-NUS Never 36% 56% 54% 40% 50% 63% Past HRT 20% 23% 18% 14% 20% 20% Current ERT 14% 11% 11% 15% 12% 7% Current EPRT 30% 10% 19% 30% 18% 10% Breast Cancer 500 Inc rate / 100,000 100 10 1 30 40 50 60 70 Age (years) B1 Breast Cell Proliferation Estradiol (pg/ml) Progesterone (ng/ml) 400 20 300 15 Relative Labelling Index 2.5 2 1.5 10 200 1 100 5 0.5 0 1 3 5 7 9 11 13 15 Day of Cycle 17 19 21 23 25 27 0 0 11 3 55 77 9 11 13 13 15 17 17 19 19 21 23 23 25 27 Day of Cycle B051 Breast cell mitotic rate on continuous-combined estrogenprogestin replacement therapy is more than double that of estrogen replacement therapy. Hofseth et al. (JCEM 1999; 84:4559-4565). HRT and Mammographic Densities: * BI-RADS Changes in the PEPI Trial BI-RADS Categorization: (1) (2) (3) (4) Entirely fatty Fatty with scattered fibroglandular tissue Heterogeneously dense Extremely dense Women with an increase in Estrogen Progestin BI-RADS Category after 12 months ________________________________________________________________________ † Placebo CEE (0.625 mg/d) CEE (0.625 mg/d) CEE (0.625 mg/d) CEE (0.625 mg/d) ‡ Placebo Placebo MPA (10 mg/d; 12 days/mo) MPA (2.5 mg/d) MP (200 mg/d; 12 days/mo) 0% 3.5% 23.5% 19.4% 16.4% * Greendale et al. (Ann Int Med 1999; 130:262-269). CEE = conjugated equine estrogens. ‡ MPA = medroxyprogesterone acetate. MP = micronized progesterone. † B123 PREMPRO 0.625 mg CE/2.5 mg MPA ORTHO-PREFEST 1 mg E2/0.09 mg norgestimate for 3 days every 6 days FEMHRT 5 µg EE2/1 mg norethindrone acetate H026 Approaches to Reducing Breast Progestin Exposure with HRT 1. Use of progestin for 12-14 days every 3 months. Ettinger et al. (Obstet Gynecol 1994; 83: 693-700). Williams et al. (Obstet Gynecol 1994; 84: 787-793). E060 Approaches to Reducing Breast Progestin Exposure with HRT 2. Use an intra-uterine device - delivers local progestin with little systemic effect. Shoupe et al. (N Engl J Med 1991; 325: 1811-1813). E060 Approaches to Reducing Breast Progestin Exposure with HRT 3. Use of intra-vaginal route of delivery - 50-fold gain in endometrial concentration for equal blood level of progesterone. Miles et al. (Fertil Steril 1994; 62:485-490). Fanchin et al. (Obstet Gynecol 1997; 90: 396-401). E060 Meta-Analysis or Large Trial Problems •The study does not address the right question. E.g. the WHI uses EPRT as the HRT arm. TR034 600 1991-96 500 Inc rate / 100,000 400 1973-78 300 200 100 20 30 40 50 Age (years) 60 70 80 First author (year) % fat calories Intervention Premenopausal Woods (1989) 25 Hagerty (1988) 25 Rose (1987) 21 Boyd (1997) 21 Williams (1989) 20 Goldin (1994) 20 Woods (1996) 20 Ingram (1987) 18 Schaefer (1995) 18 Bogga (1995) 12 Postmenopausal Crighton (1992) 24 Prentice (1990) 20 Ingram (1987) 18 Heber (1991) 10 All studies Estradiol level (relative to baseline) Hor018 Hormonal Breast Cancer Chemoprevention in Premenopausal Women How do we prove that breast cancer prevention will occur? (a) Randomized trials? (b) Common sense? Mammographic changes? Breast cell proliferation? (c) Show that the proposed chemopreventive Hormonal Breast Cancer Chemoprevention in Premenopausal Women Can we maintain the protection against ovarian cancer and endometrial cancer afforded by the Pill? Hormonal Breast Cancer Chemoprevention in Premenopausal Women Menopausal symptoms QOL Bone CVD Stroke DVT Mode of delivery: oral; patch; intra-nasal Hormonal Breast Cancer Chemoprevention in Premenopausal Women How is this development going to be paid for? Our approach: Deslorelin + Add-back E2TP4 : Treat uterine fibroids - compare to current treatment Treat endometriosis - compare to current treatment Treat PMS? Hormonal contraception? Current studies: Can bone be preserved while bleeding is controlled in fibroids while endometriosis is controlled What does the FDA Demand? • GNRH agonist plus add-back – Estradiol + Testosterone + Progesterone – Only permitted to do Estradiol Risk of Breast Cancer and Postmenopausal Serum Estradiol Concentrationa Serum E2 Concentration (pmol/L) Odds Ratio (with 95% CI) <30.7 30.7-41.0 >41.0 1.0 2.5 (1.0-6.4) 5.0 (2.0-12.5) (p < 0.001) a Thomas et al. (Br J Cancer 1997; 76: 401-405). O028 Intra-Ovarian Estradiol and Ovarian Cancer Risk The observed 25% lower serum E2 in Japanese women is predicted on the basis of in vitro results to produce a 3.2-fold reduction in their ovarian cancer rate cf U.S. women; decreasing to 4.2 when adjustment is made for earlier age at menarche and decreased parity. Great need is find out what is driving cell proliferation in vivo. Only in this way will we be sure that new formulations of hormonal contraceptives will not lose the chemopreventive benefits of OCs. For example, does Depot Provera prevent ovarian cancer? O041 Ovarian Cancer • Mitogens for ovarian ‘epithelium’: FSH and E2 (at an intra-ovarian level) - E2 action blocked by P4 • Needs: what are cell proliferation changes in the menstrual cycle? Study cystadenomas? Standard Traditional Meta-Analysis •Adjusting for prognostic factors Standard Traditional Meta-Analysis •Adjusting for prognostic factors •Cox Proportional hazard approach Standard Traditional Meta-Analysis •What is the final survival curve comparison? 80 60 40 20 0 10 30 50 70 90 GN028