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E J Feuer

Publications and source records attributed to E J Feuer.

At least 19 recordsLinked to original sources

Are increases in mammographic screening still a valid explanation for trends in breast cancer incidence in the United States?

A number of studies have attributed much of the sharp increase in breast cancer incidence in the United States during the 1980s to the increased detection through mammography. The most recent breast cancer data from the US National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program show that the incidence trend has slowed, while results from the National Health Interview Survey (NHIS) of 1987 and 1990 indicate that the percentage of women receiving mammograms continues to increase. This phenomenon suggested the need to reassess the relationship between increasingly early detection of breast cancer and overall incidence trends. A polynomial age-cohort model was used to establish the secular trend in incidence rates excluding the impact of recent increases in detection due to the rising use of mammography. Based on the model, the incidence trend in the youngest age group (40 to 49 years) would peak and then begin to decline in the early 1980s. This pattern would manifest itself later in successively older age groups as these younger cohorts age. Breast cancer trends are seen to be generally consistent with the impact of the increased use of mammography when its effect is superimposed upon the background of declining or slowing secular trends. These results support previous reports linking incidence rates with the increase in screening-mammography.

Adult

Projection of incidence rates to a larger population using ecologic variables.

There is wide acceptance of direct standardization of vital rates to adjust for differing age distributions according to the representation within age categories of some referent population. One can use a similar process to standardize, and subsequently project vital rates with respect to continuous, or ratio scale ecologic variables. We obtained from the National Cancer Institute's Surveillance, Epidemiology and End Results (SEER) programme, a 10 per cent subset of the total U.S. population, country-level breast cancer incidence during 1987-1989 for white women aged 50 and over. We applied regression coefficients that relate ecologic factors to SEER incidence to the full national complement of county-level information to produce an age and ecologic factor adjusted rate that may be more representative of the U.S. than the simple age-adjusted SEER incidence. We conducted a validation study using breast cancer mortality data available for the entire U.S. and which supports the appropriateness of this method for projecting rates.

Age Factors

A method for partitioning cancer mortality trends by factors associated with diagnosis: an application to female breast cancer.

U.S. cancer mortality data derived from information recorded on death certificates are frequently relied upon as an indicator of progress against cancer. A limitation of this measure is the lack of information pertaining to the onset of disease, such as year-of-diagnosis, age-at-diagnosis, stage of disease at diagnosis and histology of lesions. However, population-based cancer registries collect these types of data and allow the calculation of an incidence-file based mortality rate. This incidence-based mortality rate allows a partitioning of mortality by variables associated with the cancer onset. Breast cancer incidence-based mortality measures are created and compared to mortality rates based on death certificates over a comparable time period. Novel mortality measures, such as mortality rates by stage-at-diagnosis, age-at-diagnosis and year-of-diagnosis, are used to illustrate the value of this approach.

Adult

Cohort-specific risks of developing breast cancer to age 85 in Connecticut.

Previous estimates of the lifetime risk of developing breast cancer have used cross-sectional estimates of incidence. Cross-sectional rates, however, yield a biased picture of cohort risks when rates are unstable, as breast cancer trends have been. We developed cohort life tables for Connecticut women born from 1888-1892 to 1948-1952 to generate more specific estimates of breast cancer risk to age 85. Multiple decrement life tables were produced for each birth cohort. We included as cases only the first reports of breast cancer in women with no earlier malignancy. Our results indicate that widely circulated lifetime risks of 1 in 9 may be inflated slightly owing to changing incidence. We estimate that of those women 40-44 years old in 1992, 1 woman in 10 will develop breast cancer by age 85. For women born between 1928 and 1932, 1 in 13 will be diagnosed with breast cancer by age 85. The results are insensitive to mortality trends in the past. Errors in the estimates are more likely to arise from changes in incidence and mortality in the future.

Adult

After a treatment breakthrough: a comparison of trial and population-based data for advanced testicular cancer.

PURPOSE: To determine to what extent the benefits of cisplatin-based combination chemotherapy have been disseminated to all American men diagnosed with advanced testicular cancer. PATIENTS AND METHODS: One hundred seventy-two advanced testicular cancer cases from five population-based registries of the Surveillance, Epidemiology, and End Results (SEER) Program diagnosed from 1978 to 1984 were compared with 133 diagnostically comparable cases from the Memorial Sloan-Kettering Cancer Center (MSKCC) vinblastine, dactinomycin, and bleomycin (VAB) regimens 7 through 9. Exclusions were made in both series for cases with elevated markers only, abdominal disease only, or extragonadal tumors. Ratings of extent of disease using the Indiana University system (minimal/moderate or advanced) were available for the MSKCC cases, and were determined retrospectively on the SEER cases based on information abstracted from medical records. RESULTS: Among the SEER cases, 89% reported receiving chemotherapy, and 95% of these received cisplatin-containing regimens. Survival among the MSKCC patients was significantly better than for the SEER cases in the minimal/moderate extent of disease category (95% and 73% 3-year survival rate, respectively); however, the difference for advanced cases was only marginally significant (52% and 40% 3-year survival rates, respectively). Survival did not vary significantly by year of diagnosis in either series. CONCLUSION: Although most of the patients in the SEER series received cisplatin-based chemotherapy, this alone did not produce results equivalent to that in the MSKCC series. Since the patients were selected to be as diagnostically comparable as possible at baseline, remaining differences in survival may be due to adherence to a fixed regimen and level of dose-intensity, adequacy of diagnostic work-up, implementation of salvage therapies and debulking surgery, and unknown factors related to who is willing and able to travel to a tertiary care center for treatment. Whatever the reason for not achieving optimal results in the SEER series, the very modest survival improvements over the time period 1978 to 1984 indicates that the differences in outcome between the two series were basically stable over the study period.

Adolescent

How much of the recent rise in breast cancer incidence can be explained by increases in mammography utilization? A dynamic population model approach.

Largely unexplained increases in breast cancer incidence of about 1% per year have been documented back to the 1940s. Since 1982, breast cancer incidence in women aged 40 years and above has been increasing at a faster rate than this long-term secular trend, especially in women aged 60 years and above. Increases in the use of mammography since 1982 (which have been documented in population surveys of women) provide the most plausible explanation for the incidence increase over the long-term secular trend. A study by White et al. (J Natl Cancer Inst 1990;82:1546-52) found that, for women aged 45-64 years, the increase in mammography utilization could explain the incidence increase, while for women aged 65-74 years, it could account for only half the increase. The authors have developed an alternative model to that of White et al. that incorporates estimates of differential lead time (time from screen detection to clinical detection in the absence of screening) by age group. Using this model, the authors show that if older women have longer lead times, than similar increases in mammography utilization across age groups will lead to a larger incidence increase in older women. Thus, the observed increases in mammography utilization are generally concordant with increases in incidence, even in the older age groups.

Adult

Breast cancer screening among women from 65 to 74 years of age in 1987-88 and 1991. NCI Breast Cancer Screening Consortium.

OBJECTIVE: To compare breast cancer screening rates from the 1991 survey with data from 1987-88 for women aged 65 to 74. DESIGN: Surveys of women from five communities. SETTINGS: Five control communities of the National Cancer Institute's Breast Cancer Screening Consortium. PARTICIPANTS: White, non-Hispanic women, ages 65 to 74; 499 in 1987-88 and 2156 in 1991. Response rates for the first survey wave ranged by area from 65% to 77% and for the second survey wave, from 62% to 85%. MAIN OUTCOME MEASURE: Mammogram and clinical breast examination during the past year and performance of monthly breast self examination, with the screening rates in wave 2 directly standardized to the income and education distribution of wave 1 in each area. RESULTS: Mammography use between waves increased significantly (P < 0.05 after adjusting for education, income, and age) in all but one area (from 19% to 33% in wave 1 to 35% to 59% in wave 2). Among women who had a mammogram, the percent who also had a clinical breast examination decreased between waves from 95% to 85% (P = 0.001). CONCLUSIONS: Mammography in older women increased dramatically over 3 years, although the use of clinical breast examination may be decreasing.

Aged

Graphical representation of survival curves associated with a binary non-reversible time dependent covariate.

The use of time dependent covariates has allowed for incorporation into analysis of survival data intervening events that are binary and non-reversible (for example, heart transplant, initial response to chemotherapy). We can represent this type of intervening event as a three-state stochastic process with a starting state (S), an intervening state (I), and an absorbing state (D), which usually represents death. In this paper we present three procedures for calculating survivorship functions which attempt to display the prognostic significance of the time dependent covariate. The first method compares survival from baseline for the two possible paths through the stochastic process; the second method compares overall survival to survival with state I removed from the process; and, the third method compares survival for those already in state I at a landmark time x to those in state S at time x who will never enter state I. We develop discrete hazard estimates for the survival curves associated with the three methods. Two examples illustrate how these methods can yield different results and in which situations one might employ each of the three methods. Extensions to applications with reversible binary time dependent covariates and models with both baseline and time dependent covariates are suggested.

Data Interpretation, Statistical

The increasing incidence of breast cancer since 1982: relevance of early detection.

Breast cancer incidence in the United States has been rising dramatically since 1982, as shown in data collected by the Surveillance, Epidemiology, and End Results (SEER) Program. In women aged 50 and older, incidence rates for in situ and localized invasive tumors have increased over the period 1982-86, while rates for regional and distant tumors have remained stable. The incidence of localized tumors less than 1.0 cm, 1.0-1.9 cm, and 2.0-2.9 cm in size has increased more rapidly than that of tumors 3.0 cm or more in size among women over age 50. Survival rates also have improved among cases diagnosed over this time period. These data suggest that early detection may be playing a role in the recent increase in female breast cancer incidence, though other factors cannot be ruled out. Conclusions regarding improved cancer control await confirmation by reduced breast cancer mortality.

Breast Neoplasms

Number of helper T cells and phytohemagglutinin stimulation correlate in cancer patients.

Mononuclear cells from 12 normal controls (co), 10 advanced untreated (c1), and 6 advanced treated cancer patients (c2) have been isolated. The numbers of mononuclear cells bearing Leu1, Leu2, Leu3, Leu2/HLA-DR and LeuM3 were measured with a fluorescence-activated cell sorter. Only the quantity of helper T cells (Leu3) was decreased in cancer patients (co: 0.89, cl: 0.32, c2: 0.44 x 10(9)/l). Expression of all other markers, including activated suppressor T cells (Leu2/HLA-DR), did not differ significantly from the control. The proliferation of the lymphocytes was determined in a phytohemagglutinin-culture assay. The cancer groups showed a significantly decreased response (co: 95.8 x 10(9), cl: 28.7 x 10(9), c2: 25.7 x 10(9) cpm). These values correlated with the number of helper T cells but not with the suppressor T cells. Monocytes of cancer patients absorbed significantly more immunoglobulins than the monocytes of controls. The addition of indomethacin or isoprinosine to phytohemagglutinin-culture assay increased the proliferation of lymphocytes from both the cancer patients and normal controls.

Adult

Projections of the breast cancer burden to U.S. women: 1990-2000.

Although breast cancer incidence rates in the United States have been climbing for the last 40 years, recent trends have shown a more dramatic increase since 1982. This recent rise has been the subject of much study, and it is likely due in part to increased mammographic screening. A mathematical model incorporating the long-term incidence trend estimated from the Connecticut Tumor Registry and recent increases in availability of dedicated mammography machines is described and used to project incidence rates. Projections of breast cancer incidence rates among U.S. women ages 50 and over from 1990 to the year 2000 are developed. It appears that breast cancer incidence rates will continue to rise until about 1990 and then decline as screening rates stabilize.

Adult

The impact of breakthrough clinical trials on survival in population based tumor registries.

Three statistical models are developed to study the impact that two breakthrough clinical trials (MOPP for Hodgkin's disease and PVB for disseminated testicular cancer) had on survival in the Connecticut tumor registry and the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) registry program. A segmented regression model is used in conjunction with the Cox semi-parametric proportional hazards model, as well as the parametric Weibull and exponential cure models. These models allow us to determine approximately when survival first began to improve dramatically, indicating that improved treatments had become available, and how long it took for survival to level off again indicating that the full population survival impact had been realized. In addition, the degree to which the parametric models fit allows us to determine if the survival improvements occur within a parametric family. Results of the modelling indicate that dissemination took approximately 11 years in Hodgkin's disease while only 3 years in disseminated testicular cancer. In both disease sites survival first broke with prior trends between the time that the breakthrough trial started and its publication, indicating that earlier moderately successful 'precursor' trials with combination chemotherapy may have initiated the improved population survival trends. Reasons for the difference in dissemination time in the two cancer sites are examined in order to understand what factors may be responsible for the speed of dissemination and effective utilization of new therapies.

Antineoplastic Combined Chemotherapy Protocols

Adenocarcinoma of the cervical stump.

Sixteen women with adenocarcinoma of the cervical stump were treated over a 15-year period. The median survivals of 40 months for stage IB and 17 months for stages II and III were significantly worse compared with those for patients treated for cervical adenocarcinoma of the intact uterus or squamous carcinoma of the cervical stump. The poor results were due to both local and distant failure. Implications regarding tumor radiosensitivity and adjuvant therapy in these high-risk patients are discussed.

Adenocarcinoma

Adenocarcinoma of the uterine cervix: prognostic factors and patterns of recurrence.

Survival data, prognostic factors, and patterns of recurrence were analyzed for 70 women with adenocarcinoma of the uterine cervix treated between 1968 and 1982. The 5-year survival rates for stages I, II, and III-IV were 82, 90, and 38%, respectively. Control of pelvic tumor was achieved in 82, 80, and 12.5% of cases of stage I, II, and III-IV disease, respectively. When radiation therapy techniques alone were employed, pelvic control was achieved in 100% of stage I and 75% of stage II cases. Tumor grade was an important prognostic factor in stage I disease, with 92% of patients with grade 1 and 2 lesions surviving 5 years, in contrast to 68% of patients with grade 3 lesions (P less than 0.05, log rank test).

Adenocarcinoma

Test statistic and sample size for a two-sample McNemar test.

McNemar's (1947, Psychometrika 12, 153-157) test of marginal homogeneity is generalized to a two-sample situation where the hypothesis of interest is that the marginal changes in each of two independently sampled tables are equal. This situation is especially applicable to two cohorts (a control and an intervention cohort), each measured at baseline and after the intervention on a binary outcome variable. Some assumptions often realistic in this situation simplify the calculation of sample size. The calculation of sample size in a study designed to increase utilization of breast cancer screening is demonstrated.

Biometry

Augmentation of activity of cis-diamminedichloroplatinum(II) and mitomycin C by interferon in human malignant mesothelioma xenografts in nude mice.

Two human mesothelioma xenograft lines, BG and ES, serially passaged in athymic mice, were studied to determine the efficacy of alpha-interferon in this type of tumor. Treatment began after progressive tumor growth was established. Recombinant human alpha-interferon-2a (Roferon- A) was given by s.c. injection, at a site distant from the tumor, at a dose of 2 x 10(5) IU 5 days per wk for 5 wk. Mild inhibitory activity was noted in both lines with interferon alone. cis-Diamminedichloroplatinum(II) (CDDP) (4 mg/kg) weekly x 5 was effective in line BG, while mitomycin C (1.5 mg/kg) weekly x 3 was effective in line ES. CDDP was not as effective in line ES. The moderate activity of CDDP in line BG and of mitomycin C in line ES was markedly increased by the addition of alpha-interferon. The combination of mitomycin C and alpha-interferon was as effective as mitomycin C and CDDP. No additional toxicity was noted by the addition of alpha-interferon. The combination of recombinant human alpha-interferon-2a and active chemotherapeutic agents is effective in mesothelioma xenografts.

Animals