Dataset Information

Incidence and Survival Among Young Women With Stage I-III Breast Cancer: SEER 2000-2015.

ABSTRACT:

Background

Although recent findings suggest that de novo stage IV breast cancer is increasing in premenopausal women in the United States, contemporary incidence and survival data are lacking for stage I-III cancer.

Methods

Women aged 20-29 (n = 3826), 30-39 (n = 34 585), and 40-49 (n = 126 552) years who were diagnosed with stage I-III breast cancer from 2000 to 2015 were identified from the Surveillance, Epidemiology, and End Results 18 registries database. Age-adjusted, average annual percentage changes in incidence and 5- and 10-year Kaplan-Meier survival curves were estimated by race and ethnicity, stage, and hormone receptor (HR) status and grade (low to well and moderately differentiated; high to poorly and undifferentiated) for each age decade.

Results

The average annual percentage change in incidence was positive for each age decade and was highest among women aged 20-29 years. Increased incidence was driven largely by HR+ cancer, particularly HR+ low-grade cancer in women aged 20-29 and 40-49 years. By 2015, incidence of HR+ low- and high-grade cancer each independently exceeded incidence of HR- cancer in each age decade. Survival for HR+ low- and high-grade cancer decreased with decreasing age; survival for HR- cancer was similar across age decades. Among all women aged 20-29 years, 10-year survival for HR+ high-grade cancer was lower than that for HR+ low-grade or HR- cancer. Among women aged 20-29 years with stage I cancer, 10-year survival was lowest for HR+ high-grade cancer.

Conclusions

HR+ breast cancer is increasing in incidence among premenopausal women, and HR+ high-grade cancer was associated with reduced survival among women aged 20-29 years. Our findings can help guide further evaluation of preventive, diagnostic, and therapeutic strategies for breast cancer among premenopausal women.

SUBMITTER: Thomas A

PROVIDER: S-EPMC6668585 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Incidence and Survival Among Young Women With Stage I-III Breast Cancer: SEER 2000-2015.

Thomas Alexandra A Rhoads Anthony A Pinkerton Elizabeth E Schroeder Mary C MC Conway Kristin M KM Hundley William G WG McNally Lacey R LR Oleson Jacob J Lynch Charles F CF Romitti Paul A PA

JNCI cancer spectrum 20190607 3

<h4>Background</h4>Although recent findings suggest that de novo stage IV breast cancer is increasing in premenopausal women in the United States, contemporary incidence and survival data are lacking for stage I-III cancer.<h4>Methods</h4>Women aged 20-29 (n = 3826), 30-39 (n = 34 585), and 40-49 (n = 126 552) years who were diagnosed with stage I-III breast cancer from 2000 to 2015 were identified from the Surveillance, Epidemiology, and End Results 18 registries database. Age-adjusted, average ...[more]

PMID: 31392297

Similar Datasets

Project description:Although breast cancer (BC) occurs more often in older women, it is the most commonly diagnosed malignancy in women of childbearing age. Owing to the overall advancement of modern medicine and the growing global trend of delaying childbirth until later age, we find ever more younger women diagnosed and treated for BC who have not yet completed their family. Therefore, fertility preservation has emerged as a very important quality of life issue for young BC survivors. This paper reviews currently available options for fertility preservation in young women with early-stage BC and highlights the importance of a multidisciplinary approach to fertility preservation as a very important quality of life issue for young BC survivors. Pregnancy after BC treatment is considered not to be associated with an increased risk of BC recurrence; therefore, it should not be discouraged for those women who want to achieve pregnancy after oncologic treatment. Currently, it is recommended to delay pregnancy for at least 2 years after BC diagnosis, when the risk of recurrence is highest. However, BC patients of reproductive age should be informed about the potential negative effects of oncologic therapy on fertility, as well as on the fertility preservation options available, and if interested in fertility preservation, they should be promptly referred to a reproductive specialist. Early referral to a reproductive specialist is an important factor that increases the likelihood of successful fertility preservation. Embryo and mature oocyte cryopreservation are currently the only established fertility preservation methods but they require ovarian stimulation (OS), which delays initiation of chemotherapy for at least 2 weeks. Controlled OS does not seem to increase the risk of BC recurrence. Other fertility preservation methods (ovarian tissue cryopreservation, cryopreservation of immature oocytes and ovarian suppression with gonadotropin-releasing hormone agonists) do not require OS but are still considered to be experimental techniques for fertility preservation.

Project description:BackgroundThis study aims to evaluate the overall and breast cancer-specific survival (BCSS) after breast-conserving surgery (BCS) plus radiotherapy (RT) compared with mastectomy plus RT in resectable breast cancer. Moreover, the aim is to also identify the subgroups who benefit from BCS plus RT and establish a predictive nomogram for stage II patients.MethodsStage I-III breast cancer patients were identified from the Surveillance, Epidemiology, and End Results (SEER) database between 1990 and 2016. Patients with available clinical information were split into two groups: BCS plus RT and mastectomy plus RT. Kaplan-Meier survival analysis, univariate and multivariate regression analysis, and propensity score matching were used in the study. Hazard ratio (HR) was calculated based on stratified Cox univariate regression analyses. A prognostic nomogram by multivariable Cox regression model was developed for stage II patients, and consistency index (C-index) and calibration curve were used to evaluate the accuracy of the nomogram in the training and validation set.ResultsA total of 24,590 eligible patients were enrolled. The difference in overall survival (OS) and BCSS remained significant in stage II patients both before and after PSM (after PSM: OS: HR = 0.8536, p = 0.0115; BCSS: HR = 0.7803, p = 0.0013). In stage II patients, the survival advantage effect of BCS plus RT on OS and BCSS was observed in the following subgroups: any age, smaller tumor size (<1 cm), stage IIA (T2N0, T0-1N1), ER (+), and any PR status. Secondly, the C-indexes for BCSS prediction was 0.714 (95% CI 0.694-0.734). The calibration curves showed perfect agreement in both the training and validation sets. Conclusions: BCS plus RT significantly improved the survival rates for patients of stage IIA (T2N0, T0-1N1), ER (+). For stage II patients, the nomogram was a good predictor of 5-, 10-, and 15-year BCSS. Our study may help guide treatment decisions and prolong the survival of stage II breast cancer patients.

Project description:ObjectiveTo identify predictors of ovarian conservation at hysterectomy and to examine the association of ovarian conservation and survival of young women with early-stage cervical cancer.MethodsThis is a retrospective cohort study using the Surveillance, Epidemiology, and End Results Program to identify hysterectomy-based surgically treated patients with stage I cervical cancer diagnosed between 1983 and 2012 (N=16,511). Multivariable models were used to identify independent factors associated with ovarian conservation. Among the subgroup of 9,419 women younger than 50 years of age with stage I disease, survival outcomes and causes of death were examined for 3,908 (41.5%) women who underwent ovarian conservation at hysterectomy without radiotherapy.ResultsOn multivariable analysis, age younger than 50 years, stage IA disease, and squamous histology were independent factors associated with ovarian conservation (all, P<.001). Among 5,526 women younger than 50 years of age with stage IA disease who underwent hysterectomy without radiotherapy, overall survival was significantly higher in patients undergoing ovarian conservation than in those undergoing oophorectomy (20-year rate, 93.5% compared with 86.8%, P<.001); cervical cancer-specific survival was similar between the patients who underwent ovarian conservation and those who underwent oophorectomy (98.8% compared with 97.8%, P=.12). On multivariable analysis, ovarian conservation remained an independent prognostic factor for improved overall survival (adjusted hazard ratio 0.63, 95% confidence interval [CI] 0.49-0.82, P=.001) and was independently associated with lower cumulative risks of death resulting from cardiovascular disease (20-year cumulative rate, 1.2% compared with 3.3%, adjusted hazard ratio 0.47, 95% CI 0.26-0.86, P=.014) and other chronic disease (0.5% compared with 1.4%, adjusted hazard ratio 0.24, 95% CI 0.09-0.65, P=.005) compared with oophorectomy. Both cervical cancer-specific survival (20-year rate, 93.1% compared with 92.0%, P=.37) and overall survival (86.7% compared with 84.6%, P=.12) were similar between ovarian conservation and oophorectomy among 3,893 women younger than 50 years of age with stage IB disease who underwent hysterectomy without radiotherapy.ConclusionAmong young women with stage IA cervical cancer, ovarian conservation at hysterectomy is associated with decreased all-cause mortality including death resulting from cardiovascular disease and other chronic diseases.

Project description:BackgroundBreast surgery for stage IV breast cancer remains controversial. The aim of this study was to investigate the impact of breast surgery on survival of stage IV breast cancer patients based on the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015.MethodsIn total, 13,034 patients were selected and divided into surgery and non-surgery groups. Univariate and multivariable analyses were conducted to determine factors related to survival. Propensity score matching method was utilized to achieve balanced covariates across different groups. One-to-one (1:1) PSM was conducted to construct a matched sample consisting of pairs of surgery and non-surgery subjects. Breast cancer-specific survival (BCSS) and overall survival (OS) of the two groups were assessed by Kaplan-Meier plots and Cox proportional hazard regression models. Stratified analysis according to different variables was also performed.ResultsPatients treated with breast surgery were more likely to be younger, smaller tumor size, more advanced nodal status, higher histology grade and higher proportion of bone-only metastasis. Those who received chemotherapy and radiotherapy also tended to be treated with surgery. After adjustment for potential confounders, breast surgery group exhibited a better survival both in BCSS (HR = 0.557, 95% CI [0.523-0.594], p < 0.001) and OS (HR = 0.571, 95% CI [0.537-0.607], p < 0.001). After propensity score matching, the surgery and non-surgery group consisted of 2,269 patients respectively. The median survival time was 43 months for the surgery group and 27 months for the non-surgery group. Kaplan-Meier curves indicated that breast surgery could clearly improve both the BCSS and OS for patients with stage IV breast cancer. On multivariate analysis, surgery group was associated with a better survival compared with the non-surgery group (BCSS: HR = 0.542, 95% CI [0.499-0.589], p < 0.001; OS: HR = 0.555, 95% CI [0.512-0.601], p < 0.001). Furthermore, this survival advantage persisted in all subgroups irrespective of age, race, tumor size, nodal status, histology grade, molecular subtype, chemotherapy status, radiotherapy status or status of distant metastasis.ConclusionOur study provided additional evidence that patients with stage IV breast cancer could benefit from breast surgery and it might play a more important role in multimodality therapy.

Dataset Information

Incidence and Survival Among Young Women With Stage I-III Breast Cancer: SEER 2000-2015.

Background

Methods

Results

Conclusions

Publications

Incidence and Survival Among Young Women With Stage I-III Breast Cancer: SEER 2000-2015.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets