» Articles » PMID: 33218313

Breast Cancer Distant Recurrence Lead Time Interval by Detection Method in an Institutional Cohort

Overview
Journal BMC Cancer
Publisher Biomed Central
Specialty Oncology
Date 2020 Nov 21
PMID 33218313
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Lead time, the interval between screen detection and when a disease would have become clinically evident, has been cited to explain longer survival times in mammography detected breast cancer cases (BC).

Methods: An institutional retrospective cohort study of BC outcomes related to detection method (mammography (MamD) vs. patient (PtD)). Cases were first primary invasive stage I-III BC, age 40-74 years (n = 6603), 1999-2016. Survival time was divided into 1) distant disease-free interval (DDFI) and 2) distant disease-specific survival (DDSS) as two separate time interval outcomes. We measured statistical association between detection method and diagnostic, treatment and outcome variables using bivariate comparisons, Cox proportional hazards analyses and mean comparisons. Outcomes were distant recurrence (n = 422), DDFI and DDSS.

Results: 39% of cases were PtD (n = 2566) and 61% were MamD (n = 4037). MamD cases had a higher percentage of Stage I tumors [MamD 69% stage I vs. PtD 31%, p < .001]. Rate of distant recurrence was 11% among PtD BC cases (n = 289) vs. 3% of MamD (n = 133) (p < .001). Order of factor entry into the distant recurrence time interval (DDFI) model was 1) TNM stage (p < .001), 2) HR/HER2 status (p < .001), 3) histologic grade (p = .005) and 4) detection method (p < .001). Unadjusted PtD DDFI mean time was 4.34 years and MamD 5.52 years (p < .001), however when stratified by stage, the most significant factor relative to distant recurrence, there was no significant difference between PtD and MamD BC. Distant disease specific survival time did not differ by detection method.

Conclusion: We observed breast cancer distant disease-free interval to be primarily associated with stage at diagnosis and tumor characteristics with less contribution of detection method to the full model. Patient and mammography detected breast cancer mean lead time to distant recurrence differed significantly by detection method for all stages but not significantly within stage with no difference in time from distant recurrence to death. Lead time difference related to detection method appears to be present but may be less influential than other factors in distant disease-free and disease specific survival.

Citing Articles

Noninvasive Risk Prediction Models for Heart Failure Using Proportional Jaccard Indices and Comorbidity Patterns.

Tang Y, Wang C, Mitra P, Pai T Rev Cardiovasc Med. 2024; 25(5):179.

PMID: 39076472 PMC: 11267177. DOI: 10.31083/j.rcm2505179.


Is Immediate Lymphatic Reconstruction on Breast Cancer Patients Oncologically Safe? A Preliminary Study.

Lin Y, Kuan C, Lo C, Tsai L, Wu C, Huang C Plast Reconstr Surg Glob Open. 2023; 11(11):e5385.

PMID: 37941816 PMC: 10629743. DOI: 10.1097/GOX.0000000000005385.

References
1.
Hofvind S, Vacek P, Skelly J, Weaver D, Geller B . Comparing screening mammography for early breast cancer detection in Vermont and Norway. J Natl Cancer Inst. 2008; 100(15):1082-91. PMC: 2720695. DOI: 10.1093/jnci/djn224. View

2.
Jatoi I, Anderson W . Breast-Cancer Tumor Size and Screening Effectiveness. N Engl J Med. 2017; 376(1):93. DOI: 10.1056/NEJMc1614282. View

3.
Kaplan H, Malmgren J . The breast cancer overdiagnosis conundrum: an oncologist's viewpoint. Ann Intern Med. 2013; 158(1):60-1. DOI: 10.7326/0003-4819-158-1-201301010-00011. View

4.
Tabar L, Dean P, Chen T, Yen A, Chen S, Fann J . The incidence of fatal breast cancer measures the increased effectiveness of therapy in women participating in mammography screening. Cancer. 2018; 125(4):515-523. PMC: 6588008. DOI: 10.1002/cncr.31840. View

5.
Massat N, Sasieni P, Tataru D, Parmar D, Cuzick J, Duffy S . Explaining the Better Prognosis of Screening-Exposed Breast Cancers: Influence of Tumor Characteristics and Treatment. Cancer Epidemiol Biomarkers Prev. 2015; 25(3):479-87. DOI: 10.1158/1055-9965.EPI-15-0804. View