scholarly journals Association between waiting time for radiotherapy after surgery for early-stage breast cancer and survival outcomes in Ontario: a population-based outcomes study

2019 ◽  
Vol 27 (2) ◽  
Author(s):  
M. J. Raphael ◽  
R. Saskin ◽  
S. Singh

Background: Following surgery for early stage breast cancer, adjuvant radiotherapy decreases the risk of locoregional recurrence and death from breast cancer. It is unclear if delays to the initiation of adjuvant radiotherapy are associated with inferior survival outcomes. Methods: This population-based, prospective cohort study included a random sample of 25% of all women with stage I and II breast cancer treated with adjuvant radiotherapy in Ontario, Canada between September 1, 2001 and August 31, 2002, when due to capacity issues, wait times for radiation were abnormally long. Pathology reports were manually abstracted and deterministically-linked to population-level administrative databases to obtain information on recurrence and survival outcomes. Cox proportional hazard modeling was used to evaluate the association between waiting time and survival outcomes. A composite survival outcome was used to ensure that all possible measurable harms of delay would be captured. The composite outcome, event-free survival, included locoregional recurrence, development of metastatic disease or breast cancer-specific mortality. Results: We identified 1,028 women with Stage I and II breast cancer who were treated with breast-conserving surgery and adjuvant radiotherapy. Among 599 women who were treated with adjuvant radiation without intervening chemotherapy, waiting time ≥12 weeks from surgery to start of radiation appears to be associated with worse event-free survival after a median follow-up of 7.2 years (HR, composite outcome = 1.44, 95% CI: 0.98-2.11; p= 0.07). Among 429 women who received intervening adjuvant chemotherapy, waiting time ≥6 weeks from completion of chemotherapy to start of radiation was associated with worse event-free survival after a median follow-up of 7.4 years (HR 1.50, 95% CI: 1.00-2.22; p= 0.047). Conclusion: Delay to the initiation of adjuvant radiotherapy following breast-conserving surgery is associated with inferior breast cancer survival outcomes. The good prognosis for patients with early stage breast cancer limits the statistical power to detect an effect of delay to radiotherapy. Given that there is no plausible advantage to delay, we agree with Mackillop et al, that time to initiation of radiotherapy should be kept “as short as reasonably achievable.”

Cancer ◽  
2010 ◽  
Vol 117 (12) ◽  
pp. 2590-2598 ◽  
Author(s):  
Anthony E. Dragun ◽  
Bin Huang ◽  
Thomas C. Tucker ◽  
William J. Spanos

2019 ◽  
Vol 37 (35) ◽  
pp. 3340-3349 ◽  
Author(s):  
Martin Sjöström ◽  
S. Laura Chang ◽  
Nick Fishbane ◽  
Elai Davicioni ◽  
Shuang G. Zhao ◽  
...  

PURPOSE Most patients with early-stage breast cancer are treated with adjuvant radiotherapy (RT) after breast-conserving surgery (BCS) to prevent locoregional recurrence (LRR). However, no genomic tools are used currently to select the optimal RT strategy. METHODS We profiled the transcriptome of primary tumors on a clinical grade assay from the SweBCG91-RT trial, in which patients with node-negative breast cancer were randomly assigned to either whole-breast RT after BCS or no RT. We derived a new classifier, Adjuvant Radiotherapy Intensification Classifier (ARTIC), comprising 27 genes and patient age, in three publicly available cohorts, then independently validated ARTIC for LRR in 748 patients in SweBCG91-RT. We also compared previously published genomic signatures for ability to predict benefit from RT in SweBCG91-RT. RESULTS ARTIC was highly prognostic for LRR in patients treated with RT (hazard ratio [HR], 3.4; 95% CI, 2.0 to 5.9; P < .001) and predictive of RT benefit ( Pinteraction = .005). Patients with low ARTIC scores had a large benefit from RT (HR, 0.33 [95% CI, 0.21 to 0.52], P < .001; 10-year cumulative incidence of LRR, 6% v 21%), whereas those with high ARTIC scores benefited less from RT (HR, 0.73 [95% CI, 0.44 to 1.2], P = .23; 10-year cumulative incidence of LRR, 25% v 32%). In contrast, none of the eight previously published signatures were predictive of benefit from RT in SweBCG91-RT. CONCLUSION ARTIC identified women with a substantial benefit from RT as well as women with a particularly elevated LRR risk in whom whole-breast RT was not sufficiently effective and, thus, in whom intensified treatment strategies such as tumor-bed boost, and possibly regional nodal RT, should be considered. To our knowledge, ARTIC is the first classifier validated as predictive of benefit from RT in a phase III clinical trial with patients randomly assigned to receive or not receive RT.


2019 ◽  
Vol 15 (14) ◽  
pp. 1629-1639 ◽  
Author(s):  
Yong Dong ◽  
Wen-Wen Zhang ◽  
Jun Wang ◽  
Jia-Yuan Sun ◽  
Zhen-Yu He ◽  
...  

2019 ◽  
Vol 13 (3) ◽  
pp. 95-100
Author(s):  
Mawin Vongsaisuwon ◽  
Krit Pongpirul ◽  
Kris Chatamara

Abstract Background While numerous randomized controlled trials have demonstrated long-term survival rates for patients with early-stage breast cancer treated with breast-conserving surgery (BCS) comparable to mastectomy, the latter remains the most prevalent surgical option to treat early-stage breast cancer in Thailand. Objectives To investigate the potential determinants affecting the decision on selecting BCS or mastectomy for the treatment of early-stage breast cancer and to compare the disease-free survival and overall survival between the treatments using a propensity score-matched analysis. Methods Patients diagnosed nonmetastatic breast cancer at the Queen Sirikit Breast Cancer Center from January 2006 to December 2015, were retrospectively identified and grouped intro patients who received BCS or mastectomy. After propensity score matching, 356 BCS and 209 mastectomy patients were identified, and statistical analysis was conducted to determine treatment selection factors and compare disease-free and overall survival. Results Disease-free survival and overall survival in months comparing BCS and mastectomy were not statistically different with P values of 0.11 and 0.77, respectively. Determinants of treatment selection found that younger age, surgeon preference, smaller tumor size, and lower tumor grade were statistically significant factors in the selection of BCS over mastectomy. The majority of surgeons had a preference for one treatment over the other (P < 0.001). Conclusion The outcome of BCS is comparable to mastectomy in early-stage breast cancer patients. Key determinants affecting the selection of treatment were identified to be patient age, characteristics of the tumor, and surgeon’s preference.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 500-500 ◽  
Author(s):  
Abdullah Khalaf Altwairgi ◽  
Wendy Parulekar ◽  
Judy-Anne W. Chapman ◽  
Lois E. Shepherd ◽  
Kathleen I. Pritchard ◽  
...  

500 Notice of Retraction: "Impact of concurrent (CON) and sequential (SEQ) radiotherapy (RT) with adjuvant aromatase inhibitors (AI) in early-stage breast cancer (EBC): NCIC CTG MA.27." Abstract 500, published in the 2012 Annual Meeting Proceedings Part I, a supplement to the Journal of Clinical Oncology, has been retracted by Wendy Parulekar, MD, and Timothy J. Whelan, BM, BCh, MSc, on behalf of all authors of the abstract. The abstract concluded by suggesting that concurrent administration of an AI during the period of radiation may improve event-free survival as compared to commencing AI after completing radiation therapy. After submitting the abstract for the 2012 ASCO Annual Meeting, the authors identified issues associated with the statistical analysis of this research, which led them to reanalyze the data and in so doing, they reached different conclusions from those described in the abstract. As opposed to the abstract, which reports a hazard ratio (HR) of AI administration that is concurrent with RT vs. sequential to RT of 0.78 (p=0.001), they have determined that using a more appropriate analysis, the hazard ratio is 0.84 (p=0.13). Multiple sensitivity analyses have been performed and yield hazard ratios of 0.81-0.84 and p values of 0.07 to 0.13. In view of these findings, the conclusions reported in the abstract cannot be supported. Background: Optimal timing of administration of adjuvant (adj) RT and AI in EBC is unknown. Methods: MA.27 was a phase III RCT of exemestane to anastrozole in postmenopausal women with hormone receptor positive EBC (Goss et al. Cancer Res. 70(24, Suppl):75s, 2010). The final trial database was used for this retrospective analysis. Median follow-up was 4.1 years. MA.27 patients received CON-AI [any overlap with AI; 4233 (57%) patients], SEQ-AI [RT preceded AI, no overlap with AI; 1010 (14%) patients] and No RT [AI only; 2128 (29%) patients]. Outcome measures for this analysis were: event free survival (EFS; time to locoregional or distant disease recurrence, new primary BC, or death from any cause), locoregional recurrence (LRFS), distant recurrence (DDFS) and overall survival (OS). RT groups were compared univariately (uni) with stratified log-rank tests, and multivariately (multi) with step-wise stratified Cox regression adjusted by stratification factors: nodal status, adj chemotherapy (chemo), celecoxib, aspirin, and trastuzumab. Results: 7371 eligible women received AI; were included in the analysis; and 71% (5243) received adj RT. CON-AI and SEQ-AI groups were comparable by median age (63 v 63), proportion T1 tumours (75% v 75 %), and mastectomy rate (10% v 11%). The frequency of axillary dissection for CON-AI and SEQ-AI was 48% v 44%, proportion N0 was 73% v 69%, and proportion receiving adj chemo 29% v 41%. CON-AI had similar uni results to SEQ-AI: EFS, HR=0.86, p=0.20; LRFS, HR=0.82, p=0.51; DDFS, HR=0.92, p=0.59; and OS, HR=1.04, p=0.80. In multi analyses, CON-AI had better EFS than SEQ-AI patients [stratified HR of CON-AI to SEQ-AI 0.78 (0.66 – 0.91), p=0.001]; as well, age≥70 (p<0.0001), ECOG PS≥1 (p<0.0001), L-sided tumours (p=0.02), T2-T4 (p<0.0001), N2/N3 (p<0.0001), and no adj chemo (p=0.01) had significantly shorter EFS. There was no multi difference between CON-AI and SEQ-AI for LRFS (p=0.50), DDFS (p=0.72), or OS (p=0.85). Conclusions: Patients receiving CON-AI had significantly better EFS than SEQ-AI suggesting timing of administration of AI and RT may affect patient outcomes. Further research is necessary to confirm these findings.


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