Literature DB >> 28522448

Estimation of the Number of Women Living with Metastatic Breast Cancer in the United States.

Angela B Mariotto1, Ruth Etzioni2, Marc Hurlbert3,4, Lynne Penberthy5, Musa Mayer3.   

Abstract

Background: Distant metastatic breast cancer (MBC), including metastases found at diagnosis (de novo) and those occurring later (recurrence), represents the most severe form of the disease, when resource utilization is most intensive. Yet, the number of women living with MBC in the United States is unknown. The objective of this article is to use population-based data to estimate the prevalence of MBC.
Methods: We used a back-calculation method to estimate MBC prevalence from U.S. breast cancer mortality and survival from the Surveillance, Epidemiology and End Results (SEER) registries. On the basis of the illness-death process, this method assumes that each observed breast cancer death is the result of MBC, either de novo or a recurrence with metastatic disease.
Results: We estimate that by January 1, 2017, there will be 154,794 women living with MBC in the United States, three in four initially diagnosed with stage I-III breast cancer who later progressed to MBC.Median survival and 5-year relative survival for de novo MBC increased over the years, especially in younger women. We estimate a two-fold increase in 5-year relative survival rate from 18% to 36%, for women diagnosed with de novo MBC at age 15-49 between 1992-1994 and 2005-2012, respectively.Conclusions: This study demonstrates an increasing number of women in the United States living with MBC, likely the result of improvements in treatment and aging of the U.S. POPULATION: Impact: The increasing burden of MBC highlights the importance of documenting recurrence to foster more research into the specific needs of this understudied population. Cancer Epidemiol Biomarkers Prev; 26(6); 809-15. ©2017 AACR. ©2017 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2017        PMID: 28522448      PMCID: PMC5833304          DOI: 10.1158/1055-9965.EPI-16-0889

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  18 in total

1.  Cure fraction estimation from the mixture cure models for grouped survival data.

Authors:  Binbing Yu; Ram C Tiwari; Kathleen A Cronin; Eric J Feuer
Journal:  Stat Med       Date:  2004-06-15       Impact factor: 2.373

2.  MIAMOD: a computer package to estimate chronic disease morbidity using mortality and survival data.

Authors:  G De Angelis; R De Angelis; L Frova; A Verdecchia
Journal:  Comput Methods Programs Biomed       Date:  1994-08       Impact factor: 5.428

3.  A method for the estimation of chronic disease morbidity and trends from mortality data.

Authors:  A Verdecchia; R Capocaccia; V Egidi; A Golini
Journal:  Stat Med       Date:  1989-02       Impact factor: 2.373

4.  CANSURV: A Windows program for population-based cancer survival analysis.

Authors:  Binbing Yu; Ram C Tiwari; Kathleen A Cronin; Chris McDonald; Eric J Feuer
Journal:  Comput Methods Programs Biomed       Date:  2005-10-27       Impact factor: 5.428

5.  Incidence of breast cancer with distant involvement among women in the United States, 1976 to 2009.

Authors:  Rebecca H Johnson; Franklin L Chien; Archie Bleyer
Journal:  JAMA       Date:  2013-02-27       Impact factor: 56.272

6.  Breast cancer survivors in the United States: geographic variability and time trends, 2005-2015.

Authors:  Roberta De Angelis; Andrea Tavilla; Arduino Verdecchia; Steve Scoppa; Mark Hachey; Eric J Feuer; Angela B Mariotto
Journal:  Cancer       Date:  2009-05-01       Impact factor: 6.860

7.  Is breast cancer survival improving?

Authors:  Sharon H Giordano; Aman U Buzdar; Terry L Smith; Shu-Wan Kau; Ying Yang; Gabriel N Hortobagyi
Journal:  Cancer       Date:  2004-01-01       Impact factor: 6.860

8.  Surviving recurrence: psychological and quality-of-life recovery.

Authors:  Hae-Chung Yang; Lisa M Thornton; Charles L Shapiro; Barbara L Andersen
Journal:  Cancer       Date:  2008-03-01       Impact factor: 6.860

9.  Estimating prevalence of distant metastatic breast cancer: a means of filling a data gap.

Authors:  Mark S Clements; David M Roder; Xue Qin Yu; Sam Egger; Dianne L O'Connell
Journal:  Cancer Causes Control       Date:  2012-08-01       Impact factor: 2.506

10.  Impact of modern chemotherapy on the survival of women presenting with de novo metastatic breast cancer.

Authors:  Sumanta K Pal; Mary Dehaven; Rebecca A Nelson; Susan Onami; JoAnn Hsu; Sarah Waliany; Laura Kruper; Joanne Mortimer
Journal:  BMC Cancer       Date:  2012-09-28       Impact factor: 4.430

View more
  130 in total

1.  Tunable hydrogels for controlling phenotypic cancer cell states to model breast cancer dormancy and reactivation.

Authors:  Shantanu Pradhan; John H Slater
Journal:  Biomaterials       Date:  2019-05-10       Impact factor: 12.479

2.  Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network.

Authors:  Hanyin Wang; Yikuan Li; Seema A Khan; Yuan Luo
Journal:  Artif Intell Med       Date:  2020-11-01       Impact factor: 5.326

Review 3.  Breast Cancer Dormancy in Bone.

Authors:  Miranda E Clements; Rachelle W Johnson
Journal:  Curr Osteoporos Rep       Date:  2019-10       Impact factor: 5.096

4.  Relations of Mindfulness and Illness Acceptance With Psychosocial Functioning in Patients With Metastatic Breast Cancer and Caregivers.

Authors:  Kelly Chinh; Ekin Secinti; Shelley A Johns; Adam T Hirsh; Kathy D Miller; Bryan Schneider; Anna Maria Storniolo; Lida Mina; Erin V Newton; Victoria L Champion; Catherine E Mosher
Journal:  Oncol Nurs Forum       Date:  2020-11-01       Impact factor: 2.172

5.  Long-Term Survival of De Novo Stage IV Human Epidermal Growth Receptor 2 (HER2) Positive Breast Cancers Treated with HER2-Targeted Therapy.

Authors:  Yao Wong; Akshara Singareeka Raghavendra; Christos Hatzis; Javier Perez Irizarry; Teresita Vega; Nina Horowitz; Carlos H Barcenas; Mariana Chavez-MacGregor; Vicente Valero; Debu Tripathy; Lajos Pusztai; Rashmi K Murthy
Journal:  Oncologist       Date:  2018-08-23

Review 6.  Genetic insights into the morass of metastatic heterogeneity.

Authors:  Kent W Hunter; Ruhul Amin; Sarah Deasy; Ngoc-Han Ha; Lalage Wakefield
Journal:  Nat Rev Cancer       Date:  2018-02-09       Impact factor: 60.716

Review 7.  The significance of cholesterol and its metabolite, 27-hydroxycholesterol in breast cancer.

Authors:  Erik R Nelson
Journal:  Mol Cell Endocrinol       Date:  2017-09-15       Impact factor: 4.102

8.  Seed, soil, and spine stereotactic radiosurgery: A unique case of metastatic dissemination.

Authors:  Stephen R Grant; Paul D Brown; Claudio E Tatsui; Amol J Ghia
Journal:  J Radiosurg SBRT       Date:  2020

9.  A Case Study Examining the Usefulness of Cure Modelling for the Prediction of Survival Based on Data Maturity.

Authors:  Tim S Grant; Darren Burns; Christopher Kiff; Dawn Lee
Journal:  Pharmacoeconomics       Date:  2020-04       Impact factor: 4.981

10.  Progression-free survival (PFS) and toxicities of palbociclib in a geriatric population.

Authors:  K Clifton; Yi Min; J Kimmel; J Litton; D Tripathy; M Karuturi
Journal:  Breast Cancer Res Treat       Date:  2019-03-05       Impact factor: 4.872

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.