Literature DB >> 31484798

Can a subgroup at high risk for LRR be identified from T1-2 breast cancer with negative lymph nodes after mastectomy? A meta-analysis.

Gongling Peng1, Zhuohui Zhou1, Ming Jiang1, Fan Yang2.   

Abstract

Purpose: To identify a subgroup at high risk for loco-regional recurrence (LRR) from T1-2 breast cancer with negative lymph nodes (N0) after mastectomy by using a meta-analysis.Methods and materials: Published studies on the relationship between clinical features and LRR of breast cancer were identified from public databases, including PubMed, EMBASE, and the Cochrane Library. High-risk features for LRR in this patient population were defined based on the pooled results of meta-analysis.
Results: For the meta-analysis, a total of 11244 breast cancers with pT1-2N0 after mastectomy from 20 publications were included for analysis. The pooled results indicated that age (hazard ratio (HR) 1.77, P=0.001), lymphovascular invasion (LVI) (HR 2.23, P<0.001), histologic grade (HR 1.66, P<0.001), HER2 status (HR 1.65, P=0.027), menopausal status (HR 1.36, P=0.015), and surgical margins (HR 2.56, P=0.014) were associated with a significantly increased risk of developing LRR in this patient population group, but not for tumor size (HR 1.32, P=0.23), systematic therapy (HR 1.67, P=0.20), and hormonal receptor status (HR 1.04, P=0.73).
Conclusion: In the current study, patients with young age, positive LVI, high histologic grade, HER-2 positive, premenopausal, and positive surgical margins have an increased risk of developing LRR. Further prospective trials are needed to clearly define the role of adjuvant postmastectomy radiotherapy in T1-2N0 breast cancer at high risk of developing LRR.
© 2019 The Author(s).

Entities:  

Keywords:  PMRT; breast cancer; local recurrence; risk factors

Mesh:

Substances:

Year:  2019        PMID: 31484798      PMCID: PMC6753322          DOI: 10.1042/BSR20181853

Source DB:  PubMed          Journal:  Biosci Rep        ISSN: 0144-8463            Impact factor:   3.840


Introduction

Post-mastectomy radiation therapy (PMRT) has generally not been recommended as a routine part of treatment for T1–T2 breast cancer with negative lymph node (N0) after mastectomy, due to the low loco-regional recurrence (LRR) rates in this patient group as a whole [1,2]. A recent meta-analysis conducted by the Early Breast Cancer Trialists Collaborative Group (EBCTCG) [3] also demonstrated that PMRT did not significantly reduce the 10-year LRR first [3.0% (no RT) versus 1.6% (RT)] in node negative breast patients receiving mastectomy. However, it is becoming increasingly clear that breast cancer represents a heterogeneous group of diseases. And multiple retrospective studies have identified a number of potential risk factors, such as age, tumor size, lymphovascular invasion (LVI), histologic grade, and margin status, for LRR after mastectomy, and patients with certain risk factors might have LRR risks in excess of 20% [4,5]. As a result, patients with multiple risk factors of LRR could derive significant benefit from PMRT in terms of LRR, and a potential survival benefit. Currently, no consensus has been archived regarding what constitutes ‘high risk’ in the absence of lymph node metastases in this patient group [6,7]. For example, tumor size, histologic grade, and LVI were statistically significant high risk for LRR in T1-2N0 breast cancer after mastectomy in the Truong et al.’s study [8,9], while only tumor size, but not for histologic grade and LVI, was regarded as high risk feature for LRR in Mamtani et al.’s study [10]. As a result, we perform the present meta-analysis to pool the controversial results from multiple included studies, which could increase the statistical power to detect an effect and resolve uncertainty when reports disagree, and aim to identify risk factors for LRR in T1-2N0 breast cancer after mastectomy by using a meta-analysis.

Materials and methods

We performed the meta-analysis according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines 2009 [11].

Search strategy and study selection

We conducted a comprehensive literature search of public databases including PubMed, EMBASE, and the Cochrane Library (up to 31 March 2018). Relevant search keywords included the following: ‘breast cancer’, ‘mastectomy’, ‘loco-regional disease recurrence’, and ‘lymph node negative’. No language restriction was administered. We also conducted a manual search of conference proceedings. All results were input into Endnote X8 reference software (Thomson Reuters, Stamford, CT, U.S.A.) for duplication exclusion and further reference management. Clinical trials that met the following criteria were included: (1) prospective or retrospective studies involving early stage (T1-2) breast cancer patients with negative lymph node after mastectomy; (2) available data regarding the relationship between clinical factors and LRR of breast cancer after mastectomy; if multiple publications of the same trial were retrieved or if there was a case mix between publications, only the most recent publication (and the most informative) was included.

Data extraction and statistical analysis

Two independent investigators conducted the data abstraction, and any discrepancy between the reviewers was resolved by consensus. The following information was extracted for each study: first author’s name, year of publication, number of enrolled subjects, surgical types, median follow-up, LRR definitions, and LRR rate. A formal meta-analysis was conducted using Comprehensive Meta Analysis software (Version 2.0). The outcome data were pooled and reported as hazard ratio (HR). The primary outcome of interest was the relationship between clinical factors and LRR of breast cancer after mastectomy. All statistical analyses were performed by using Version 2 of the Comprehensive MetaAnalysis program (Biostat, Englewood, NJ). Between-study heterogeneity was estimated using the χ2-based Q statistic [12]. The I statistic was also calculated to evaluate the extent of variability attributable to statistical heterogeneity between trials. A statistical test with a P-value less than 0.05 was considered significant. To assess the stability of results, sensitivity analysis was carried out by sequential omission of individual studies.

Results

We initially found 360 relevant citations in early stage breast cancer. After excluding review articles, Phase I studies, case reports, editorial, letters, commentaries, meta-analyses, and systematic review (Figure 1), a total of 20 retrospective studies were finally included for analysis in the present studies. In all, 11244 breast cancer with pT1-2N0 breast cancers after mastectomy from 20 published studies were included for analysis [4,8-10,13-28]. Table 1 listed the baseline characteristics of the patients and studies. The incidence of 10-year local recurrence after mastectomy in pT1-2N0M0 breast cancer ranged from 2.1 to 12.8%, and the high-risk factors of pT1-2N0 breast cancer are listed in Table 2.
Figure 1

PRISMA flow diagram

Table 1

Baseline characteristics of 20 included studies

Author/yearSeries typeCenterYearsT stagenAgeSurgical typeChemotherapy, %Hormone therapy, %LRR definitionMedian follow-up, yearsLRR, %
Ahlborn/1988RColumbia University College1975–1985T1-234628–90MRM00Recurrence on CW3.94-y, 4%
Janni et al./2000RLudwig-Maximilians-Universtitaet1963–1998T1-2114<75MRM and AC+PMRT0NRIsolated LRR,LRR with orwithout DF610-y, 14%
804<75MRM and AC0NR10-y, 4%
Voogd/2001REORTC and DBCG1980–1989T1-2535<70MRM and AC I/IINRNRIsolated LRR,LRR with orwithout DF9.810-y, 9%
Wallgren et al./2003RIBCSG trials1981–1985T1-3 (T3 2.1%)1275NRMRM66NRIsolated LRR,LRR with orwithout DF, DF14.510-y, 12.8%
Colleoni et al./2005RIBCSG trials1978–1999T1-32588Median: 54M and AC670Isolated LRR,LRR with orwithout DF1110-y, 10%
Truong et al./2005RBCCA1989–1999T1-2150524–95M14.129.9LRR with orwithout DF710-y, 7.8%
Jagsi et al./2005RMGH1980–2000T1-3 (T3 2.85%877AnyMRM and AC8.416.9Isolated LRR,LRR with orwithout DF8.310-y, 6%
Truong et al./2005RBCCA1989–1999T1-276324–89M27.859LRR with orwithout DF7NR
Buchanan/2006PMSCC1995–1999T1325AnyM and AC I/IINRNRIsolated LRR,LRR with orwithout DF65-y, 4%
Yildrim et al./2007RAnkara Oncology Training and Research Hospital1990–2004T1-2502<70MRM and AC I/II/III5643Isolated LRR6.410-y, 3%
Karlsson et al./2007RIBCSG trials1978–1999T1-32588NRM and AC, adjuvant systematic therapyNRNRIsolated LRR,LRR with orwithout DF1410-y, 10%
Mamouna et al./2010RB-14/B-201982–1993T1-3 (T3 5%)505NRM0100Isolated LRR12.510-y, 6.1%
Sharma et al./2010RM.D. Anderson Cancer Center1997–2002T1-2753NRMNRNRIsolated LRR,LRR with orwithout DF7.4710-y, 2.1%
Abi-Raad et al./2011RMGH1980–2004T1-21136AnyMRM and AC6.823.8Isolated LRR,LRR with orwithout DF910-y, 5.2%
Selz et al./2012RHoôpital René Huguenin2001–2008T1-3 (3.5% T3)191Median: 56MRM and AC I/II+PMRT68.173.3LRRFS4.75-y, 2.1%
508Median: 63MRM and SLNB20.562.65-y, 2.6%
Truong et al./2014RBCCA and MGH1998–2009T1-2199422–97M11.548.2Isolated LRRFS(excluded if DFwithin 4 monthsof LRR)4.35-y, 1.75%
Jwa et al./2015RSoonchunhyang University College of Medicine2002–2011T1-239037–87MRM and AC47.60%NRIsolated LRR,LRR with orwithout DF5.65-y, 2.6%
Li et al./2017RFujian Medical University Cancer Hospital2001–2008T1-2353NRMRM and ACNRNRIsolated LRR,LRR with orwithout DF9.65-y, 11%
Mamtani et al./2017RMSKCC2006–2011T1-265733–86M14%32%Isolated LRR,LRR with orwithout DF5.65-y, 4.7%
Frandsen et al./2017RHuntsman Cancer Hospital1978–2014T1-23825–40MRM and AC+PMRT55.30%2.60%Isolated LRR,LRR with orwithout DF610-y 0%
18118–40MRM and AC35.90%12.70%Isolated LRR,LRR with orwithout DF4.610-y 10%

Abbreviations: AC, axillary clearance (followed by levels cleared); BCCA, British Columbla Cancer Agency; DF, distant failure; IBCSG, International Breast Cancer Study Group; LRRFS, LRR-free survival; M, mastectomy; MGH, Massachusetts General Hospital; MRM, modified radical mastectomy; MSKCC, Memorial Sloan Cancer Center; NR, not reported; P, prospective; R, retrospective.

Table 2

LRR after mastectomy in T1-2 N0 breast cancer

Author/yearOverall: LRRHigh-risk: 10-year LRRLow risk: 10-yearHigh-risk definitionLow-risk definition
Ahlborn/19984-year, 4%NRNRNRNR
Janni et al./20005-year, 8.8%NRNRNRNR
Voogd/200110-year, 9%15%8%LVIno LVI
Wallgren et al./2003 (premenopausal)10-year, 12.8%16%8%LVI, T ≥ 2 cmno LVI, T < 2 cm
Wallgren et al./2003 (postmenopausal)19%8%LVIno LVI
Colleoni et al./200510-year, 10%NRNRNRNR
Truong et al./200510-year, 7.8%21.20%4.50%LVI, grade 3grade 1–2, age ≥50
Truong et al./2005NR7-year, 19.5%7 year, 3.4%LVI, age <50No LVI, age ≥50
Jagsi et al./200510-year, 6%10.0%, 17.9%, 40.6% for 1, 2 and 3 risk factors1.20%close margins, T > 2 cm, premenopausal, and LVIno risk factor
Buchanan/20065-year, 4%NRNRage ≤ 35, LVI, and multi-centricityNo risk
Karlsson et al./2007 (premenopausal)14-year, 12.5%14.70%10.90%1–10 uninvolved nodes≥19 uninvolved nodes
Karlsson et al 2007 (postmenopausal)14-year, 8.2%11.60%6.20%1–10 uninvolved nodes≥19 uninvolved nodes
Yildrim et al./2007 (≤40 years)10-year, 3%NRNRT >2 cm and LVI0–1 risk factor
Yildrim et al./2007 (>40)NRNRT >3 cm, high grade, and LVI0–2 risk factors
Mamouna et al./201010-year, 6.1%16.80%2.30%high 21-gene recurrence scoreLow 21 gene recurrence score
Sharma et al./201010-year, 2.1%18.60%1.00%T2, ≤40 yearsT1-2, >40 years
Abi-Raad et al./201110-year, 5.2%19.70%3.30%LVI, positive margins,T ≥ 2 cm,age ≤50 yearsNo LVI, age >50,negative margins,size <2 cm,systemic therapy
Selz et al./20125-year 2.6%5-year, 15.1%15-year, 2.6%1Ki67 > 20%Ki67 ≤ 20%
Truong et al./20145-year 1.75%5-year, 12.5%5-year, 1.1%TNBC, close or positive marginsnegative margin, luminal;
Jwa et al./20155-year 2.6%5-year, 14%15-year, 0%, 5% for 0 and 1 risk1 factorsage ≤ 50, systematic chemotherapy (2 risk factors)0–1 risk factors
Li et al./20175-year 11%5-year, 24.3%5-year, 8.4%Age < 40 years, T ≥ 4.5 cm, number of resected nodes ≤ 100–1 risk factor
Mamtani et al./20175-year 4.7%, 5.3%5-year, 9.4% for ≥4 risk factors3.80%age < 40 years, multifocal or multicentric tumor, LVI, central or medial tumor location, and high nuclear grade (≥2 risk factors)0–2 risk factor
Frandsen et al./201710-year 10%28.00%6.70%LVINo LVI

Abbreviations: AC, axillary clearance (followed by levels cleared); BCCA, British Columbla Cancer Agency; DF, distant failure; IBCSG, International Breast Cancer Study Group; LRRFS, LRR-free survival; MGH, Massachusetts General Hospital; M, mastectomy; MRM, modified radical mastectomy; MSKCC, Memorial Sloan Cancer Center; NR, not reported; P, prospective; R, retrospective.

Actuarial failure rate or calculated from local disease-free survival obtained by Kaplan–Meier method rather than cumulative incidence of LRR.

Abbreviations: AC, axillary clearance (followed by levels cleared); BCCA, British Columbla Cancer Agency; DF, distant failure; IBCSG, International Breast Cancer Study Group; LRRFS, LRR-free survival; M, mastectomy; MGH, Massachusetts General Hospital; MRM, modified radical mastectomy; MSKCC, Memorial Sloan Cancer Center; NR, not reported; P, prospective; R, retrospective. Abbreviations: AC, axillary clearance (followed by levels cleared); BCCA, British Columbla Cancer Agency; DF, distant failure; IBCSG, International Breast Cancer Study Group; LRRFS, LRR-free survival; MGH, Massachusetts General Hospital; M, mastectomy; MRM, modified radical mastectomy; MSKCC, Memorial Sloan Cancer Center; NR, not reported; P, prospective; R, retrospective. Actuarial failure rate or calculated from local disease-free survival obtained by Kaplan–Meier method rather than cumulative incidence of LRR.

Age

Ten included trials reported the association between age and LRR among pT1-2N0 breast cancer after mastectomy. The pooled results showed that young breast cancer patients had a significantly increased risk of developing LRR in comparison with elder patients (HR 1.77, 95% CI: 1.27–2.45, P=0.001, Figure 2). We also did sensitivity analysis to examine the stability and reliability of pooled HRs by sequential omission of individual studies. The results indicated that the significance estimate of pooled HRs was not significantly influenced by omitting any single study. Similar results were observed in subgroup analysis according to median follow-up time (long follow-up: HR 1.45, 95% CI: 1.04–2.00, P=0.027; short follow-up: HR 1.69, 95% CI: 1.43–2.64, P<0.001, Supplementary Figure S1).
Figure 2

Meta-analysis of LRR rate in young versus elder patients

LVI

Twelve studies contributed to the pooled analysis. Breast cancer patients with positive LVI were associated with a significantly increased risk of developing LRR compared with negative LVI (HR 2.23, 95% CI: 1.87–2.65, P<0.001, Figure 3). No significant heterogeneity across the studies was detected (I = 0; P=0.37). Sensitivity analysis indicated that the significance estimate of pooled HRs was not significantly influenced by omitting any single study. Similar results were observed in subgroup analysis according to median follow-up time (long follow-up: HR 2.21, 95% CI: 1.76–2.77, P<0.001; short follow-up: HR 2.25, 95% CI: 1.71–2.96, P<0.001, Supplementary Figure S2).
Figure 3

Meta-analysis of LRR rate in LVI versus no LVI

Histologic grade

Nine studies contributed to the pooled analysis. Breast cancer patients with Grade 3 histologic type were associated with a significantly increased risk of developing LRR when compared with Grades 1–2 histologic type (HR 1.66, 95% CI: 1.26–2.19, P<0.001, Figure 4). No heterogeneity across the studies was detected. Sensitivity analysis indicated that the significance estimate of pooled HRs was not significantly influenced by omitting any single study. Similar results were observed in subgroup analysis according to median follow-up time (long follow-up: HR 1.63, 95% CI: 1.35–1.98, P<0.001; short follow-up: HR 1.45, 95% CI: 1.02–2.09, P=0.041, Supplementary Figure S3).
Figure 4

Meta-analysis of LRR rate in Grade III versus Grade I/II

HER-2 status

In five studies, data about HER-2 status and LRR risk were available. Breast cancer with positive HER-2 status was associated with an increased risk of developing LRR in comparison with negative HER-2 status (HR 1.65, 95% CI: 1.06–2.58, P=0.027, Figure 5). Significant heterogeneity was observed. Sensitivity analysis indicated that the significance estimate of pooled HRs was significantly influenced by omitting any single study.
Figure 5

Meta-analysis of LRR rate in HER2 positive versus HER2 negative

Menopausal status

Five studies contributed to the pooled analysis. Our results showed that menopausal status was significantly associated with LRR in T1-2N0 breast cancer patients. Premenopausal breast cancer was associated with an increased risk of developing LRR in comparison with postmenopausal breast cancer patients (HR 1.36, 95% CI: 1.06–1.74, P=0.015, Supplementary Figure S4). Significant heterogeneity was observed. Sensitivity analysis indicated that the significance estimate of pooled HRs was significantly influenced by omitting any single study.

Surgical margins

In three studies with surgical data available, breast cancer with positive/close surgical margins was associated with an increased risk of developing LRR in comparison with negative surgical margins (HR 2.56, 95% CI: 1.21–5.41, P=0.014, Supplementary Figure S5). Significant heterogeneity was observed. Sensitivity analysis indicated that the significance estimate of pooled HRs was significantly influenced by omitting any single study.

Systematic therapy

Eight studies contributed to the pooled analysis. There was no significant risk difference of LRR in breast cancer receiving systematic therapy (chemotherapy/hormonal therapy) or not (HR 1.67, 95% CI: 0.77–3.50, P=0.20, Supplementary Figure S6). Significant heterogeneity was observed.

Tumor size

Thirteen studies contributed to the pooled analysis. Tumor size was not a significant risk factor for LRR in T1-2 breast cancer with negative lymph node after mastectomy (HR 1.32, 95% CI: 0.85–2.05, P=0.23, Supplementary Figure S7). No significant heterogeneity was observed.

Hormonal receptor status

Thirteen studies contributed to the pooled analysis. Hormonal receptor status was not a significant risk factor for LRR in T1-2 breast cancer with negative lymph node after mastectomy (HR 1.04, 95% CI: 0.76–1.44, p=0.73, Supplementary Figure S8). No significant heterogeneity was observed.

Discussion

Of note, the management of early-stage women with breast cancer after mastectomy is a heterogeneous disease because different subgroups demonstrate significant variation in the risk for recurrence and survival, and in selected women with high risks; the 5-year LRR can be as high as 20% [29,30]. It has been reported that effective local control is associated with improved overall survival, especially for early-stage breast cancer patients [31]. As a result, accurately predicting the women who are at highest risk for recurrence after mastectomy will identify those who might benefit from more aggressive locally adjuvant treatment. During the past decades, although multiples studies have been conducted to investigate the risk factors associated with local recurrence in T1-2 N0 breast cancer after mastectomy, but the results are controversial. In 2005, the ninth St Gallen expert panel agreed that radiation therapy could reduce replacement in the early breast cancer after breast conserving surgery, and the balance between beneficial and harmful effects of PMRT depends on the risk of local recurrence [32], the age of the patient, the efficacy of systemic therapies (especially endocrine agents) and competing causes of morbidity and mortality. However, no quantitative evaluations of clinic-pathological risk features of LRR have been previously investigated. As a result, we conduct the present meta-analysis to comprehensively evaluate the risk factors for local recurrence in early-stage breast cancer after mastectomy. To the best of our knowledge, our meta-analysis is the largest and most comprehensive systematic review to specially investigate risk factors for local recurrence in pT1-2 N0 breast cancer after mastectomy. A total of 11244 pT1-2 breast cancers with negative lymph nodes after mastectomy from 15 publications were included for analysis. The pooled results have demonstrated that T1-2 breast cancer with positive LVI (HR 2.23, P<0.001) or surgical margins (HR 2.56, P=0.014) has increased twice the risk of developing LRR. Consistent with our findings, previous research even found that the LRR of patients with negative lymph node disease and LVI who do not receive PMRT is worse than that of patients with node-positive disease receiving adjuvant radiotherapy [33]. Additionally, the ninth St Gallen expert panel also accepted LVI as a discriminatory feature of increased risk for T1-2 breast cancer with negative lymph node. As for the risk of patients with a close or positive surgical margin after mastectomy, most of published data identified a close or positive surgical margin would increase the risk of chest wall failure [34,35]. In clinical practice today, patients with a close or positive surgical margin after mastectomy are likely to be treated with chest wall irradiation. Our study also suggests that age (HR 1.77, P=0.001), histologic grade (HR 1.66, P<0.001), HER2 status (HR 1.65, P=0.027), menopausal status (HR 1.36, P=0.015) are risk predictors for LRR in this patient population group. Several previous research have reported different results in terms of systemic chemotherapy as a risk factor for LRR. Truong et al. [8] found that no systemic therapy was associated with increased risk of LRR compared with systemic therapy (14.1% chemotherapy alone, 29.9% hormone therapy alone, 6.7% both) in patients with pT1-2N0 cancer (HR 1.87; P=0.01), while Wallgren et al. [25] analyzed 1275 patients with node-negative disease and found that the LRR risk increased significantly without adjuvant chemotherapy. In the present study, the pooled results showed that systematic therapy (HR 1.67, P=0.20) is not a significant risk factor for LRR. The implications of tumor size and hormonal receptor status on recurrence remain controversial. For example, Abi-Raad et al. [15] reported tumor size is associated with increased LRR risk, while it is not a significant risk factor in Jwa et al. study [27]. In the present study, both tumor size (HR 1.32, P=0.23) and hormonal receptor status (HR 1.04, P=0.73) are not significantly associated with LRR in breast cancer after mastectomy. Consistent with our pooled results, the ninth St Gallen expert panel also regarding age, histologic grade, LVI, and HER2 status as risk factors to identify node negative early breast cancer patients at high risk for LRR [32]. Based on these findings, for early-stage breast cancer with high risk for local recurrence, such as young age, high histologic grade, positive LVI positive, premenopausal and/or positive surgical margins, additional adjuvant local therapy might be warranted for this patient population group in order to reduce the LRR risk. There are several limitations that need to be mentioned. First, this is a meta-analysis at study level, thus individual patient information is not available from the publication. Second, the application of formal meta-analytic methods to observational studies has been controversial. One of the most important reasons for this is that the designs and populations of the studies are diverse, and that these differences may influence the pooled estimates. However, when no head-to-head comparison data are available for combination therapy versus mono-therapy, a meta-analysis of observational studies is one of the few methods for assessing risk factors for local recurrence. Third, all included studies are retrospective clinical studies, treatment regimen and follow-up time of included patients are significantly different, thus all of these would increase the heterogeneity among included studies.

Conclusion

Despite these limitations, the result of this meta-analysis for the first time clearly demonstrates that early breast patients after mastectomy with young age, positive LVI, high histologic grade, HER-2 positive, premenopausal, and/or surgical margins positive have an increased risk of developing LRR, and additional local radiotherapy might be warranted for this subset group population. Further prospective trials are needed to clearly define the role of adjuvant postmastectomy radiotherapy in pT1-2N0 breast cancer with high risk for developing LRR.
  35 in total

1.  Heterogeneity testing in meta-analysis of genome searches.

Authors:  Elias Zintzaras; John P A Ioannidis
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2.  Locoregional recurrence rates and prognostic factors for failure in node-negative patients treated with mastectomy: implications for postmastectomy radiation.

Authors:  Reshma Jagsi; Rita Abi Raad; Saveli Goldberg; Timothy Sullivan; James Michaelson; Simon N Powell; Alphonse G Taghian
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Authors:  Pauline T Truong; Celina M Yong; Freddy Abnousi; Junella Lee; Hosam A Kader; Allen Hayashi; Ivo A Olivotto
Journal:  J Am Coll Surg       Date:  2005-06       Impact factor: 6.113

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Authors:  A C Voogd; M Nielsen; J L Peterse; M Blichert-Toft; H Bartelink; M Overgaard; G van Tienhoven; K W Andersen; R J Sylvester; J A van Dongen
Journal:  J Clin Oncol       Date:  2001-03-15       Impact factor: 44.544

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Authors:  Marco Colleoni; David Zahrieh; Richard D Gelber; Stig B Holmberg; Jan E Mattsson; Carl-Magnus Rudenstam; Jurij Lindtner; Darja Erzen; Raymond Snyder; John Collins; Martin F Fey; Beat Thürlimann; Diana Crivellari; Elizabeth Murray; Caesar Mendiola; Olivia Pagani; Monica Castiglione-Gertsch; Alan S Coates; Karen Price; Aron Goldhirsch
Journal:  J Clin Oncol       Date:  2005-03-01       Impact factor: 44.544

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Authors:  A Wallgren; M Bonetti; R D Gelber; A Goldhirsch; M Castiglione-Gertsch; S B Holmberg; J Lindtner; B Thürlimann; M Fey; I D Werner; J F Forbes; K Price; A S Coates; J Collins
Journal:  J Clin Oncol       Date:  2003-04-01       Impact factor: 44.544

8.  Radiotherapy of the chest wall following mastectomy for early-stage breast cancer: impact on local recurrence and overall survival.

Authors:  W Janni; T Dimpfl; S Braun; A Knobbe; U Peschers; D Rjosk; B Lampe; T Genz
Journal:  Int J Radiat Oncol Biol Phys       Date:  2000-11-01       Impact factor: 7.038

9.  Patient subsets with T1-T2, node-negative breast cancer at high locoregional recurrence risk after mastectomy.

Authors:  Pauline T Truong; Mary Lesperance; Aydin Culhaci; Hosam A Kader; Caroline H Speers; Ivo A Olivotto
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-05-01       Impact factor: 7.038

10.  A positive margin is not always an indication for radiotherapy after mastectomy in early breast cancer.

Authors:  Pauline T Truong; Ivo A Olivotto; Caroline H Speers; Elaine S Wai; Eric Berthelet; Hosam A Kader
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-03-01       Impact factor: 7.038

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