Literature DB >> 14701771

Menopausal status dependence of early mortality reduction due to diagnosis of smaller breast cancers (T1 v T2-T3): relevance to screening.

Romano Demicheli1, Gianni Bonadonna, William J M Hrushesky, Michael W Retsky, Pinuccia Valagussa.   

Abstract

PURPOSE: To provide data relevant to the paradoxical mortality excess for women age 40 to 49 years observed during the first 6 to 8 years in the invited group in all mammography screening studies. PATIENTS AND METHODS: In 1,173 patients undergoing mastectomy alone as primary treatment, allocated to subsets according to menopausal status and tumor size, hazard rates for death were calculated. The ratios between the hazard rate for T2-T3 patients and the corresponding value for T1 patients were assessed over time.
RESULTS: For postmenopausal patients, the ratio appeared to be time-dependent, dropping from the maximum value of approximately 5 at the first year after surgery to a near constant value of approximately 2 after 5 to 6 years. Premenopausal patients, on the contrary, showed a nearly constant ratio of approximately 3. Therefore, although in each T-category the 10-year survival of premenopausal and postmenopausal patients was similar, its time distribution was menopause-dependent. In particular, the difference between cumulative survival of premenopausal and postmenopausal T2-T3 patients attained statistical significance after 3 years.
CONCLUSION: The mortality reduction due to the diagnosis of smaller tumors is significantly higher for postmenopausal women than for premenopausal women during early postsurgery time. According to the hypothesis that primary tumor surgical removal, occurring sooner in the invited group than in the control arm of screening trials, results in some acceleration of metastasis development, a greater number of unfavorable events (recurrence and death) should occur in the invited group. We suggest that for younger women, the early balance between benefit from tumor downsizing and harm from surgery-induced metastasis acceleration results in harm. This disadvantage does not occur in postmenopausal women.

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Year:  2004        PMID: 14701771     DOI: 10.1200/JCO.2004.12.139

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  7 in total

1.  Association of shared decision-making with type of breast cancer surgery: a cross-sectional study.

Authors:  Myung Kyung Lee; Dong Young Noh; Seok Jin Nam; Se Hyun Ahn; Byeong Woo Park; Eun Sook Lee; Young Ho Yun
Journal:  BMC Health Serv Res       Date:  2010-02-23       Impact factor: 2.655

Review 2.  Recent translational research: computational studies of breast cancer.

Authors:  Michael Retsky; Romano Demicheli; William Hrushesky; John Speer; Douglas Swartzendruber; Robert Wardwell
Journal:  Breast Cancer Res       Date:  2004-12-17       Impact factor: 6.466

3.  Menopausal status dependence of the timing of breast cancer recurrence after surgical removal of the primary tumour.

Authors:  Romano Demicheli; Gianni Bonadonna; William J M Hrushesky; Michael W Retsky; Pinuccia Valagussa
Journal:  Breast Cancer Res       Date:  2004-10-11       Impact factor: 6.466

4.  Multimodal hazard rate for relapse in breast cancer: quality of data and calibration of computer simulation.

Authors:  Michael Retsky; Romano Demicheli
Journal:  Cancers (Basel)       Date:  2014-11-27       Impact factor: 6.639

5.  Hypothesis: primary antiangiogenic method proposed to treat early stage breast cancer.

Authors:  Michael W Retsky; William J M Hrushesky; Isaac D Gukas
Journal:  BMC Cancer       Date:  2009-01-08       Impact factor: 4.430

6.  Hypothesis: Induced angiogenesis after surgery in premenopausal node-positive breast cancer patients is a major underlying reason why adjuvant chemotherapy works particularly well for those patients.

Authors:  Michael Retsky; Gianni Bonadonna; Romano Demicheli; Judah Folkman; William Hrushesky; Pinuccia Valagussa
Journal:  Breast Cancer Res       Date:  2004-05-14       Impact factor: 6.466

Review 7.  Interpreting Breast Cancer Survival Data by the Hazard Function: Remarkable Findings from Event Dynamics.

Authors:  Romano Demicheli; William Hrushesky; Michael Retsky; Elia Biganzoli
Journal:  Medicina (Kaunas)       Date:  2020-09-12       Impact factor: 2.430

  7 in total

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