scholarly journals Predicted trends in long-term breast cancer survival in England and Wales

2007 ◽  
Vol 96 (7) ◽  
pp. 1135-1138 ◽  
Author(s):  
L M Woods ◽  
B Rachet ◽  
N Cooper ◽  
M P Coleman
2019 ◽  
Vol 179 (1) ◽  
pp. 197-206 ◽  
Author(s):  
Minya Pu ◽  
Karen Messer ◽  
Sherri R. Davies ◽  
Tammi L. Vickery ◽  
Emily Pittman ◽  
...  

Abstract Purpose Multi-gene signatures provide biological insight and risk stratification in breast cancer. Intrinsic molecular subtypes defined by mRNA expression of 50 genes (PAM50) are prognostic in hormone-receptor positive postmenopausal breast cancer. Yet, for 25–40% in the PAM50 intermediate risk group, long-term risk remains uncertain. Our study aimed to (i) test the long-term prognostic value of the PAM50 signature in pre- and post-menopausal breast cancer; (ii) investigate if the PAM50 model could be improved by addition of other mRNAs implicated in oncogenesis. Methods We used archived FFPE samples from 1723 breast cancer survivors; high quality reads were obtained on 1253 samples. Transcript expression was quantified using a custom codeset with probes for > 100 targets. Cox models assessed gene signatures for breast cancer relapse and survival. Results Over 15 + years of follow-up, PAM50 subtypes were (P < 0.01) associated with breast cancer outcomes after accounting for tumor stage, grade and age at diagnosis. Results did not differ by menopausal status at diagnosis. Women with Luminal B (versus Luminal A) subtype had a > 60% higher hazard. Addition of a 13-gene hypoxia signature improved prognostication with > 40% higher hazard in the highest vs lowest hypoxia tertiles. Conclusions PAM50 intrinsic subtypes were independently prognostic for long-term breast cancer survival, irrespective of menopausal status. Addition of hypoxia signatures improved risk prediction. If replicated, incorporating the 13-gene hypoxia signature into the existing PAM50 risk assessment tool, may refine risk stratification and further clarify treatment for breast cancer.


2009 ◽  
Vol 455 (2) ◽  
pp. 117-123 ◽  
Author(s):  
Michaela Aubele ◽  
Sanja Vidojkovic ◽  
Herbert Braselmann ◽  
Dominique Ritterswürden ◽  
Gert Auer ◽  
...  

2002 ◽  
Vol 10 (5) ◽  
pp. 248-255 ◽  
Author(s):  
Thomas N. Chirikos ◽  
Anita Russell-Jacobs ◽  
Alan B. Cantor

2010 ◽  
Vol 122 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Eun-Ha Lee ◽  
◽  
Sue K. Park ◽  
Boyoung Park ◽  
Sung-Won Kim ◽  
...  

2014 ◽  
Vol 20 (3) ◽  
pp. 333-335
Author(s):  
Vu Hong Thang ◽  
Lambert Skoog ◽  
Hung N. Luu ◽  
Ta Thanh Van ◽  
Edneia Tani

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 204s-204s
Author(s):  
C. Fann

Background: Overdetected breast cancers (BCs) via mammography screening that are biologically nonprogressive and unnecessary to receive treatment is of great concern for population-based screening. Most previous studies estimated overdiagnosis by excess incidence due to the introduction of screening compared with background incidence derived from randomized control trial, which require population incident-based BC data and the strong assumption of lead-time distribution, few studies have been adopted by using merely follow-up data on BCs. Aim: To assess respective independent contributions of overdiagnosis and curation to long-term breast cancer survival by the application of the novel zero-inflated statistical model to a longitudinal follow up empirical data with sufficient information based on patient-based data. Methods: We designed a retrospective cohort composed of 1346 patients diagnosed with invasive breast cancer in Falun Central Hospital of Dalarna County, Sweden, through international collaboration. A novel zero-inflated cured or overdiagnosis regression model was conducted. The zero part represents both types of nonprogressive cancer without potential of dying from BC, the cured due to treatment and the overdiagnosed due to mammography screening. These 2 types would be distinguished by detection modes (screen-detected cases and interval cancer plus cancers from nonparticipants). The count part represents the progressive breast cancer with potential of dying from BC associated with prognostic factors during follow-up. Results: The probability for nonprogressive BC (the zero part) was 56.14%. The probability of zero due to curation resulting from early detection and effective treatment was 44.34%. Overdiagnosis resulting from mammography screening program was 8.94% and high awareness was 2.86%. Among 43.86% progressive BC (the count part), 32.11% patients undergoing subsequent adjuvant therapies still remained alive after 15-year follow-up when adjusting for significant prognostic factors. The 15-year prognosis-adjusted cumulative survival of BC was dropped from 88.25% to 74.80% after correcting for the zero-inflated part of overdiagnosis. Conclusion: The proposed zero-inflated model with 15 years of follow-up data revealed 12% due to overdiagnosis after taking out the probability of zero due to curation as a result of early detection and effective treatment from the total zero part.


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