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.

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.

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 I2 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.

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
Figure 1
PRISMA flow diagram
Close modal
Table 1
Baseline characteristics of 20 included studies
Author/yearSeries typeCenterYearsT stagenAgeSurgical typeChemotherapy, %Hormone therapy, %LRR definitionMedian follow-up, yearsLRR, %
Ahlborn/1988 Columbia University College 1975–1985 T1-2 346 28–90 MRM Recurrence on CW 3.9 4-y, 4% 
Janni et al./2000 Ludwig-Maximilians-
Universtitaet 
1963–1998 T1-2 114 <75 MRM and AC+PMRT NR Isolated LRR,
LRR with or
without DF 
10-y, 14% 
     804 <75 MRM and AC NR   10-y, 4% 
Voogd/2001 EORTC and DBCG 1980–1989 T1-2 535 <70 MRM and AC I/II NR NR Isolated LRR,
LRR with or
without DF 
9.8 10-y, 9% 
Wallgren et al./2003 IBCSG trials 1981–1985 T1-3 (T3 2.1%) 1275 NR MRM 66 NR Isolated LRR,
LRR with or
without DF, DF 
14.5 10-y, 12.8% 
Colleoni et al./2005 IBCSG trials 1978–1999 T1-3 2588 Median: 54 M and AC 67 Isolated LRR,
LRR with or
without DF 
11 10-y, 10% 
Truong et al./2005 BCCA 1989–1999 T1-2 1505 24–95 14.1 29.9 LRR with or
without
DF 
10-y, 7.8% 
Jagsi et al./2005 MGH 1980–2000 T1-3 (T3 2.85% 877 Any MRM and AC 8.4 16.9 Isolated LRR,
LRR with or
without DF 
8.3 10-y, 6% 
Truong et al./2005 BCCA 1989–1999 T1-2 763 24–89 27.8 59 LRR with or
without
DF 
NR 
Buchanan/2006 MSCC 1995–1999 T1 325 Any M and AC I/II NR NR Isolated LRR,
LRR with or
without DF 
5-y, 4% 
Yildrim et al./2007 Ankara Oncology Training and Research Hospital 1990–2004 T1-2 502 <70 MRM and AC I/II/III 56 43 Isolated LRR 6.4 10-y, 3% 
Karlsson et al./2007 IBCSG trials 1978–1999 T1-3 2588 NR M and AC, adjuvant systematic therapy NR NR Isolated LRR,
LRR with or
without DF 
14 10-y, 10% 
Mamouna et al./2010 B-14/B-20 1982–1993 T1-3 (T3 5%) 505 NR 100 Isolated LRR 12.5 10-y, 6.1% 
Sharma et al./2010 M.D. Anderson Cancer Center 1997–2002 T1-2 753 NR NR NR Isolated LRR,
LRR with or
without DF 
7.47 10-y, 2.1% 
Abi-Raad et al./2011 MGH 1980–2004 T1-2 1136 Any MRM and AC 6.8 23.8 Isolated LRR,
LRR with or
without DF 
10-y, 5.2% 
Selz et al./2012 Hoôpital René Huguenin 2001–2008 T1-3 (3.5% T3) 191 Median: 56 MRM and AC I/II+PMRT 68.1 73.3 LRRFS 4.7 5-y, 2.1% 
     508 Median: 63 MRM and SLNB 20.5 62.6   5-y, 2.6% 
Truong et al./2014 BCCA and MGH 1998–2009 T1-2 1994 22–97 11.5 48.2 Isolated LRRFS
(excluded if DF
within 4 months
of LRR) 
4.3 5-y, 1.75% 
Jwa et al./2015 Soonchunhyang University College of Medicine 2002–2011 T1-2 390 37–87 MRM and AC 47.60% NR Isolated LRR,
LRR with or
without DF 
5.6 5-y, 2.6% 
Li et al./2017 Fujian Medical University Cancer Hospital 2001–2008 T1-2 353 NR MRM and AC NR NR Isolated LRR,
LRR with or
without DF 
9.6 5-y, 11% 
Mamtani et al./2017 MSKCC 2006–2011 T1-2 657 33–86 14% 32% Isolated LRR,
LRR with or
without DF 
5.6 5-y, 4.7% 
Frandsen et al./2017 Huntsman Cancer Hospital 1978–2014 T1-2 38 25–40 MRM and AC+PMRT 55.30% 2.60% Isolated LRR,
LRR with or
without DF 
10-y 0% 
     181 18–40 MRM and AC 35.90% 12.70% Isolated LRR,
LRR with or
without DF 
4.6 10-y 10% 
Author/yearSeries typeCenterYearsT stagenAgeSurgical typeChemotherapy, %Hormone therapy, %LRR definitionMedian follow-up, yearsLRR, %
Ahlborn/1988 Columbia University College 1975–1985 T1-2 346 28–90 MRM Recurrence on CW 3.9 4-y, 4% 
Janni et al./2000 Ludwig-Maximilians-
Universtitaet 
1963–1998 T1-2 114 <75 MRM and AC+PMRT NR Isolated LRR,
LRR with or
without DF 
10-y, 14% 
     804 <75 MRM and AC NR   10-y, 4% 
Voogd/2001 EORTC and DBCG 1980–1989 T1-2 535 <70 MRM and AC I/II NR NR Isolated LRR,
LRR with or
without DF 
9.8 10-y, 9% 
Wallgren et al./2003 IBCSG trials 1981–1985 T1-3 (T3 2.1%) 1275 NR MRM 66 NR Isolated LRR,
LRR with or
without DF, DF 
14.5 10-y, 12.8% 
Colleoni et al./2005 IBCSG trials 1978–1999 T1-3 2588 Median: 54 M and AC 67 Isolated LRR,
LRR with or
without DF 
11 10-y, 10% 
Truong et al./2005 BCCA 1989–1999 T1-2 1505 24–95 14.1 29.9 LRR with or
without
DF 
10-y, 7.8% 
Jagsi et al./2005 MGH 1980–2000 T1-3 (T3 2.85% 877 Any MRM and AC 8.4 16.9 Isolated LRR,
LRR with or
without DF 
8.3 10-y, 6% 
Truong et al./2005 BCCA 1989–1999 T1-2 763 24–89 27.8 59 LRR with or
without
DF 
NR 
Buchanan/2006 MSCC 1995–1999 T1 325 Any M and AC I/II NR NR Isolated LRR,
LRR with or
without DF 
5-y, 4% 
Yildrim et al./2007 Ankara Oncology Training and Research Hospital 1990–2004 T1-2 502 <70 MRM and AC I/II/III 56 43 Isolated LRR 6.4 10-y, 3% 
Karlsson et al./2007 IBCSG trials 1978–1999 T1-3 2588 NR M and AC, adjuvant systematic therapy NR NR Isolated LRR,
LRR with or
without DF 
14 10-y, 10% 
Mamouna et al./2010 B-14/B-20 1982–1993 T1-3 (T3 5%) 505 NR 100 Isolated LRR 12.5 10-y, 6.1% 
Sharma et al./2010 M.D. Anderson Cancer Center 1997–2002 T1-2 753 NR NR NR Isolated LRR,
LRR with or
without DF 
7.47 10-y, 2.1% 
Abi-Raad et al./2011 MGH 1980–2004 T1-2 1136 Any MRM and AC 6.8 23.8 Isolated LRR,
LRR with or
without DF 
10-y, 5.2% 
Selz et al./2012 Hoôpital René Huguenin 2001–2008 T1-3 (3.5% T3) 191 Median: 56 MRM and AC I/II+PMRT 68.1 73.3 LRRFS 4.7 5-y, 2.1% 
     508 Median: 63 MRM and SLNB 20.5 62.6   5-y, 2.6% 
Truong et al./2014 BCCA and MGH 1998–2009 T1-2 1994 22–97 11.5 48.2 Isolated LRRFS
(excluded if DF
within 4 months
of LRR) 
4.3 5-y, 1.75% 
Jwa et al./2015 Soonchunhyang University College of Medicine 2002–2011 T1-2 390 37–87 MRM and AC 47.60% NR Isolated LRR,
LRR with or
without DF 
5.6 5-y, 2.6% 
Li et al./2017 Fujian Medical University Cancer Hospital 2001–2008 T1-2 353 NR MRM and AC NR NR Isolated LRR,
LRR with or
without DF 
9.6 5-y, 11% 
Mamtani et al./2017 MSKCC 2006–2011 T1-2 657 33–86 14% 32% Isolated LRR,
LRR with or
without DF 
5.6 5-y, 4.7% 
Frandsen et al./2017 Huntsman Cancer Hospital 1978–2014 T1-2 38 25–40 MRM and AC+PMRT 55.30% 2.60% Isolated LRR,
LRR with or
without DF 
10-y 0% 
     181 18–40 MRM and AC 35.90% 12.70% Isolated LRR,
LRR with or
without DF 
4.6 10-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/1998 4-year, 4% NR NR NR NR 
Janni et al./2000 5-year, 8.8% NR NR NR NR 
Voogd/2001 10-year, 9% 15% 8% LVI no LVI 
Wallgren et al./2003 (premenopausal) 10-year, 12.8% 16% 8% LVI, T ≥ 2 cm no LVI, T < 2 cm 
Wallgren et al./2003 (postmenopausal)  19% 8% LVI no LVI 
Colleoni et al./2005 10-year, 10% NR NR NR NR 
Truong et al./2005 10-year, 7.8% 21.20% 4.50% LVI, grade 3 grade 1–2, age ≥50 
Truong et al./2005 NR 7-year, 19.5% 7 year, 3.4% LVI, age <50 No LVI, age ≥50 
Jagsi et al./2005 10-year, 6% 10.0%, 17.9%, 40.6% for 1, 2 and 3 risk factors 1.20% close margins, T > 2 cm, premenopausal, and LVI no risk factor 
Buchanan/2006 5-year, 4% NR NR age ≤ 35, LVI, and multi-centricity No 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% NR NR T >2 cm and LVI 0–1 risk factor 
Yildrim et al./2007 (>40)  NR NR T >3 cm, high grade, and LVI 0–2 risk factors 
Mamouna et al./2010 10-year, 6.1% 16.80% 2.30% high 21-gene recurrence score Low 21 gene recurrence score 
Sharma et al./2010 10-year, 2.1% 18.60% 1.00% T2, ≤40 years T1-2, >40 years 
Abi-Raad et al./2011 10-year, 5.2% 19.70% 3.30% LVI, positive margins,
T ≥ 2 cm,
age ≤50 years 
No LVI, age >50,
negative margins,
size <2 cm,
systemic therapy 
Selz et al./2012 5-year 2.6% 5-year, 15.1%1 5-year, 2.6%1 Ki67 > 20% Ki67 ≤ 20% 
Truong et al./2014 5-year 1.75% 5-year, 12.5% 5-year, 1.1% TNBC, close or positive margins negative margin, luminal; 
Jwa et al./2015 5-year 2.6% 5-year, 14%1 5-year, 0%, 5% for 0 and 1 risk1 factors age ≤ 50, systematic chemotherapy (2 risk factors) 0–1 risk factors 
Li et al./2017 5-year 11% 5-year, 24.3% 5-year, 8.4% Age < 40 years, T ≥ 4.5 cm, number of resected nodes ≤ 10 0–1 risk factor 
Mamtani et al./2017 5-year 4.7%, 5.3% 5-year, 9.4% for ≥4 risk factors 3.80% 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./2017 10-year 10% 28.00% 6.70% LVI No LVI 
Author/yearOverall: LRRHigh-risk: 10-year LRRLow risk: 10-yearHigh-risk definitionLow-risk definition
Ahlborn/1998 4-year, 4% NR NR NR NR 
Janni et al./2000 5-year, 8.8% NR NR NR NR 
Voogd/2001 10-year, 9% 15% 8% LVI no LVI 
Wallgren et al./2003 (premenopausal) 10-year, 12.8% 16% 8% LVI, T ≥ 2 cm no LVI, T < 2 cm 
Wallgren et al./2003 (postmenopausal)  19% 8% LVI no LVI 
Colleoni et al./2005 10-year, 10% NR NR NR NR 
Truong et al./2005 10-year, 7.8% 21.20% 4.50% LVI, grade 3 grade 1–2, age ≥50 
Truong et al./2005 NR 7-year, 19.5% 7 year, 3.4% LVI, age <50 No LVI, age ≥50 
Jagsi et al./2005 10-year, 6% 10.0%, 17.9%, 40.6% for 1, 2 and 3 risk factors 1.20% close margins, T > 2 cm, premenopausal, and LVI no risk factor 
Buchanan/2006 5-year, 4% NR NR age ≤ 35, LVI, and multi-centricity No 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% NR NR T >2 cm and LVI 0–1 risk factor 
Yildrim et al./2007 (>40)  NR NR T >3 cm, high grade, and LVI 0–2 risk factors 
Mamouna et al./2010 10-year, 6.1% 16.80% 2.30% high 21-gene recurrence score Low 21 gene recurrence score 
Sharma et al./2010 10-year, 2.1% 18.60% 1.00% T2, ≤40 years T1-2, >40 years 
Abi-Raad et al./2011 10-year, 5.2% 19.70% 3.30% LVI, positive margins,
T ≥ 2 cm,
age ≤50 years 
No LVI, age >50,
negative margins,
size <2 cm,
systemic therapy 
Selz et al./2012 5-year 2.6% 5-year, 15.1%1 5-year, 2.6%1 Ki67 > 20% Ki67 ≤ 20% 
Truong et al./2014 5-year 1.75% 5-year, 12.5% 5-year, 1.1% TNBC, close or positive margins negative margin, luminal; 
Jwa et al./2015 5-year 2.6% 5-year, 14%1 5-year, 0%, 5% for 0 and 1 risk1 factors age ≤ 50, systematic chemotherapy (2 risk factors) 0–1 risk factors 
Li et al./2017 5-year 11% 5-year, 24.3% 5-year, 8.4% Age < 40 years, T ≥ 4.5 cm, number of resected nodes ≤ 10 0–1 risk factor 
Mamtani et al./2017 5-year 4.7%, 5.3% 5-year, 9.4% for ≥4 risk factors 3.80% 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./2017 10-year 10% 28.00% 6.70% LVI No 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.

1

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).

Meta-analysis of LRR rate in young versus elder patients

Figure 2
Meta-analysis of LRR rate in young versus elder patients
Figure 2
Meta-analysis of LRR rate in young versus elder patients
Close modal

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 (I2 = 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).

Meta-analysis of LRR rate in LVI versus no LVI

Figure 3
Meta-analysis of LRR rate in LVI versus no LVI
Figure 3
Meta-analysis of LRR rate in LVI versus no LVI
Close modal

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).

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

Figure 4
Meta-analysis of LRR rate in Grade III versus Grade I/II
Figure 4
Meta-analysis of LRR rate in Grade III versus Grade I/II
Close modal

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.

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

Figure 5
Meta-analysis of LRR rate in HER2 positive versus HER2 negative
Figure 5
Meta-analysis of LRR rate in HER2 positive versus HER2 negative
Close modal

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.

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.

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.

F.Y. and G.P. were responsible for study design. Z.Z. and M.J. were responsible for literature search. F.Y. and Z.Z. were responsible for data extraction. G.P. and M.J. were responsible for data analysis. F.Y. was responsible for drafting the manuscript. All authors approved the final version of the manuscript.

The authors declare that there are no competing interests associated with the manuscript.

The authors declare that there are no sources of funding to be acnowledged.

HR

hazard ratio

LRR

loco-regional recurrence

LVI

lymphovascular invasion

PMRT

post-mastectomy radiation therapy

RT

radiation therapy

95% CI

95% confidence interval

1.
Schoenfeld
J.D.
and
Harris
J.R.
(
2011
)
Abbreviated course of radiotherapy (RT) for breast cancer
.
Breast
20
,
S116
S127
[PubMed]
2.
Cheng
S.H.
,
Horng
C.F.
,
Clarke
J.L.
et al.
(
2006
)
Prognostic index score and clinical prediction model of local regional recurrence after mastectomy in breast cancer patients
.
Int. J. Radiat. Oncol. Biol. Phys.
64
,
1401
1409
[PubMed]
3.
McGale
P.
,
Taylor
C.
,
Ebctcg
et al (
2014
)
Effect of radiotherapy after mastectomy and axillary surgery on 10-year recurrence and 20-year breast cancer mortality: meta-analysis of individual patient data for 8135 women in 22 randomised trials
.
Lancet
383
,
2127
2135
[PubMed]
4.
Buchanan
C.L.
,
Dorn
P.L.
,
Fey
J.
et al.
(
2006
)
Locoregional recurrence after mastectomy: incidence and outcomes
.
J. Am. Coll. Surg.
203
,
469
474
[PubMed]
5.
Childs
S.K.
,
Chen
Y.H.
,
Duggan
M.M.
et al.
(
2012
)
Surgical margins and the risk of local-regional recurrence after mastectomy without radiation therapy
.
Int. J. Radiat. Oncol. Biol. Phys.
84
,
1133
1138
[PubMed]
6.
Vila
J.
,
Teshome
M.
,
Tucker
S.L.
et al.
(
2017
)
Combining clinical and pathologic staging variables has prognostic value in predicting local-regional recurrence following neoadjuvant chemotherapy for breast cancer
.
Ann. Surg.
265
,
574
580
[PubMed]
7.
Hunt
K.K.
,
Ballman
K.V.
,
McCall
L.M.
et al.
(
2012
)
Factors associated with local-regional recurrence after a negative sentinel node dissection: results of the ACOSOG Z0010 trial
.
Ann. Surg.
256
,
428
436
[PubMed]
8.
Truong
P.T.
,
Lesperance
M.
,
Culhaci
A.
,
Kader
H.A.
,
Speers
C.H.
and
Olivotto
I.A.
(
2005
)
Patient subsets with T1-T2, node-negative breast cancer at high locoregional recurrence risk after mastectomy
.
Int. J. Radiat. Oncol. Biol. Phys.
62
,
175
182
[PubMed]
9.
Truong
P.T.
,
Yong
C.M.
,
Abnousi
F.
et al.
(
2005
)
Lymphovascular invasion is associated with reduced locoregional control and survival in women with node-negative breast cancer treated with mastectomy and systemic therapy
.
J. Am. Coll. Surg.
200
,
912
921
[PubMed]
10.
Mamtani
A.
,
Patil
S.
,
Stempel
M.M.
and
Morrow
M.
(
2017
)
Are there patients with T1 to T2, lymph node-negative breast cancer who are “high-risk” for locoregional disease recurrence?
Cancer
123
,
2626
2633
[PubMed]
11.
Liberati
A.
,
Altman
D.G.
,
Tetzlaff
J.
et al.
(
2009
)
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration
.
BMJ
339
,
b2700
[PubMed]
12.
Zintzaras
E.
and
Ioannidis
J.P.
(
2005
)
Heterogeneity testing in meta-analysis of genome searches
.
Genet. Epidemiol.
28
,
123
137
[PubMed]
13.
Sharma
R.
,
Bedrosian
I.
,
Lucci
A.
et al.
(
2010
)
Present-day locoregional control in patients with t1 or t2 breast cancer with 0 and 1 to 3 positive lymph nodes after mastectomy without radiotherapy
.
Ann. Surg. Oncol.
17
,
2899
2908
[PubMed]
14.
Frandsen
J.E.
,
Cannon
G.
,
Kokeny
K.E.
et al.
(
2018
)
Is radiation indicated for young women with early stage, node-negative breast cancer after mastectomy? A multi-institution, retrospective review
.
Breast J.
24
,
7
11
[PubMed]
15.
Abi-Raad
R.
,
Boutrus
R.
,
Wang
R.
et al.
(
2011
)
Patterns and risk factors of locoregional recurrence in T1-T2 node negative breast cancer patients treated with mastectomy: implications for postmastectomy radiotherapy
.
Int. J. Radiat. Oncol. Biol. Phys.
81
,
e151
e157
[PubMed]
16.
Jagsi
R.
,
Raad
R.A.
,
Goldberg
S.
et al.
(
2005
)
Locoregional recurrence rates and prognostic factors for failure in node-negative patients treated with mastectomy: implications for postmastectomy radiation
.
Int. J. Radiat. Oncol. Biol. Phys.
62
,
1035
1039
[PubMed]
17.
Janni
W.
,
Dimpfl
T.
,
Braun
S.
et al.
(
2000
)
Radiotherapy of the chest wall following mastectomy for early-stage breast cancer: impact on local recurrence and overall survival
.
Int. J. Radiat. Oncol. Biol. Phys.
48
,
967
975
[PubMed]
18.
Selz
J.
,
Stevens
D.
,
Jouanneau
L.
,
Labib
A.
and
Le Scodan
R.
(
2012
)
Prognostic value of molecular subtypes, ki67 expression and impact of postmastectomy radiation therapy in breast cancer patients with negative lymph nodes after mastectomy
.
Int. J. Radiat. Oncol. Biol. Phys.
84
,
1123
1132
[PubMed]
19.
Truong
P.T.
,
Sadek
B.T.
,
Lesperance
M.F.
et al.
(
2014
)
Is biological subtype prognostic of locoregional recurrence risk in women with pT1-2N0 breast cancer treated with mastectomy?
Int. J. Radiat. Oncol. Biol. Phys.
88
,
57
64
[PubMed]
20.
Yildirim
E.
and
Berberoglu
U.
(
2007
)
Can a subgroup of node-negative breast carcinoma patients with T1-2 tumor who may benefit from postmastectomy radiotherapy be identified?
Int. J. Radiat. Oncol. Biol. Phys.
68
,
1024
1029
[PubMed]
21.
Colleoni
M.
,
Zahrieh
D.
,
Gelber
R.D.
et al.
(
2005
)
Site of primary tumor has a prognostic role in operable breast cancer: the international breast cancer study group experience
.
J. Clin. Oncol.
23
,
1390
1400
[PubMed]
22.
Karlsson
P.
,
Cole
B.F.
,
Price
K.N.
et al.
(
2007
)
The role of the number of uninvolved lymph nodes in predicting locoregional recurrence in breast cancer
.
J. Clin. Oncol.
25
,
2019
2026
[PubMed]
23.
Mamounas
E.P.
,
Tang
G.
,
Fisher
B.
et al.
(
2010
)
Association between the 21-gene recurrence score assay and risk of locoregional recurrence in node-negative, estrogen receptor-positive breast cancer: results from NSABP B-14 and NSABP B-20
.
J. Clin. Oncol.
28
,
1677
1683
[PubMed]
24.
Voogd
A.C.
,
Nielsen
M.
,
Peterse
J.L.
et al.
(
2001
)
Differences in risk factors for local and distant recurrence after breast-conserving therapy or mastectomy for stage I and II breast cancer: pooled results of two large European randomized trials
.
J. Clin. Oncol.
19
,
1688
1697
[PubMed]
25.
Wallgren
A.
,
Bonetti
M.
,
Gelber
R.D.
et al.
(
2003
)
Risk factors for locoregional recurrence among breast cancer patients: results from International Breast Cancer Study Group Trials I through VII
.
J. Clin. Oncol.
21
,
1205
1213
[PubMed]
26.
Li
J.L.
,
Lin
X.Y.
,
Zhuang
L.J.
et al.
(
2017
)
Establishment of a risk scoring system for predicting locoregional recurrence in T1 to T2 node-negative breast cancer patients treated with mastectomy: Implications for postoperative radiotherapy
.
Medicine (Baltimore).
96
,
e7343
[PubMed]
27.
Jwa
E.
,
Shin
K.H.
,
Lim
H.W.
et al.
(
2015
)
Identification of risk factors for locoregional recurrence in breast cancer patients with nodal stage N0 and N1: who could benefit from post-mastectomy radiotherapy?
PLoS ONE
10
,
e0145463
[PubMed]
28.
Ahlborn
T.N.
,
Gump
F.E.
,
Bodian
C.
,
Habif
D.V.
and
Kister
S.
(
1988
)
Tumor to fascia margin as a factor in local recurrence after modified radical mastectomy
.
Surg. Gynecol. Obstet.
166
,
523
526
29.
Rowell
N.P.
(
2009
)
Radiotherapy to the chest wall following mastectomy for node-negative breast cancer: a systematic review
.
Radiother. Oncol.
91
,
23
32
30.
Overgaard
M.
,
Hansen
P.S.
,
Overgaard
J.
et al.
(
1997
)
Postoperative radiotherapy in high-risk premenopausal women with breast cancer who receive adjuvant chemotherapy. Danish Breast Cancer Cooperative Group 82b Trial
.
N. Engl. J. Med.
337
,
949
955
31.
Skinner
H.D.
,
Strom
E.A.
,
Motwani
S.B.
et al.
(
2013
)
Radiation dose escalation for loco-regional recurrence of breast cancer after mastectomy
.
Radiat. Oncol.
8
,
13
[PubMed]
32.
Goldhirsch
A.
,
Glick
J.H.
,
Gelber
R.D.
et al.
(
2005
)
Meeting highlights: international expert consensus on the primary therapy of early breast cancer 2005
.
Ann. Oncol.
16
,
1569
1583
33.
Sundquist
M.
,
Thorstenson
S.
,
Klintenberg
C.
,
Brudin
L.
and
Nordenskjold
B.
(
2000
)
Indicators of loco-regional recurrence in breast cancer. The South East Swedish Breast Cancer Group
.
Eur. J. Surg. Oncol.
26
,
357
362
[PubMed]
34.
Freedman
G.M.
,
Fowble
B.L.
,
Hanlon
A.L.
et al.
(
1998
)
A close or positive margin after mastectomy is not an indication for chest wall irradiation except in women aged fifty or younger
.
Int. J. Radiat. Oncol. Biol. Phys.
41
,
599
605
[PubMed]
35.
Truong
P.T.
,
Olivotto
I.A.
,
Speers
C.H.
,
Wai
E.S.
,
Berthelet
E.
and
Kader
H.A.
(
2004
)
A positive margin is not always an indication for radiotherapy after mastectomy in early breast cancer
.
Int. J. Radiat. Oncol. Biol. Phys.
58
,
797
804
[PubMed]

Author notes

*

These authors contributed equally to this work.

This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).

Supplementary data