Comparative efficacy of intraoperative radiotherapy and external boost irradiation in early-stage breast cancer: a systematic review and meta-analysis

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Introduction

Breast radiotherapy is an important adjuvant therapy for patients with early-stage breast cancer, which can greatly improve their prognosis, reduce the risk of recurrence, and increase their survival (Van Seijen et al., 2021). Intraoperative radiotherapy (IORT) and external boost radiotherapy (EBRT) are demonstrated to be effective for patients with early-stage breast cancer.The main difference between IORT and EBRT is the therapy duration. IORT is typically performed during breast-conserving surgery and delivers a single dose of radiation to the edge of the tumour bed, while EBRT is performed after the surgery (Hashemi et al., 2020). IORT is a special technique for accelerated partial breast irradiation (APBI), which refers to localised irradiation focusing on the tumour bed (Veronesi et al., 2001; Liljegren et al., 1999). It includes intraoperative electron radiation therapy (IOERT) and intraoperative X-ray radiation therapy (IOXRT). IOXRT with 20 GY for breast cancers cases and penetration of 0/5 cm that can be defined as boost or radical dose, base on the clinical status, IOERT with radiation of electron in two different doses on boost (11–12 gy) and radical (20–21 Gy) for breast cancer cases (Beddok et al., 2022). EBRT includes partial breast external beam radiotherapy and whole breast external beam radiotherapy. Over the past 10 years, a multiple randomised controlled trials have been conducted to evaluate the efficacy of intraoperative IORT and postoperative EBRT in reducing LR, preventing distant metastasis and prolonging DFS and OS in early breast cancer patients (Vaidya et al., 2010; Veronesi et al., 2013). However, due to the diversity of demographics, histopathology, and systemic treatment modalities in different clinical trials, the comparative efficacy of these two therapies remains controversial (Keshtgar et al., 2013; Huo et al., 2016). Therefore, we conducted a systematic review and meta-analysis of the efficacy of IORT and EBRT in early breast cancer treatment with a view to providing evidence-based support for clinical decisions.

Methods

From the beginning, until January 10, 2022, we searched PubMed, Embase, Cochrane Library and Science for RCT comparing the efficacy of IORT and EBRT in the treatment of early breast cancer. Search was designed using medical-themed headings (MeSH) and freewords.

A reference list of retrieved studies was also searched for possible eligible studies. This meta-analysis is in strict compliance with the System Evaluation and Meta-Analyses Preference Reporting Project (PRISMA). Data were collected as previously described in Wang, MacInnis & Li (2023).

Inclusion and exclusion criteria

People diagnosed with early breast cancer.

Combination of IORT or EBRT as intervention or control for breast preservation surgery.

Outcome measures including LR, distant metastasis, DFS or OS.

Exclusion criteria

Non-RCT design (literature review, case report, meeting summary, observation study, etc.).

Participants of less than 10.

Inappropriate outcome measures.

Study selection and data extraction

All retrieved articles were imported into EndnoteX9, and duplicates were removed. The articles were initially screened via browsing titles and abstracts, and the full-texts of potential eligible studies were downloaded and read for further screening. We extracted the following data from the included studies using a pre-designed form: name of the first author, publication date, patients‘ nationality, sample size, mean age, tumor stage, tumor size, lymph node metastasis, follow-up duration, and outcome measures. When different follow-up periods of one single RCT reported by multiple articles, we summarize the most comprehensive outcome indicators and different follow-up times. Study selection and data extraction were conducted by two reviewers independently (LJX and SXW), cross-checked by each other. Any disagreement was settled via consulting a third reviewer (QC).

Quality assessment

Two independent reviewers assessed the risk of bias included in the study using the Cochrane risk-of-bias Assessment Tool. Two researchers (LJX and SXW) then cross-checked their work. If there is any objection, it shall be resolved through consultation with the third examiner. The Cochrane risk-of-bias assessment tool contains the following six domains: Selection bias (stochastic sequence generation and allocation concealment), performance bias (participant and population bias), detection bias (outcome assessment bias), attrition bias (incomplete outcome data), reporting bias (selective reporting), and other bias. Each can be classified as “high”, “low” or ”unclear”. In addition, a the NOS scale (Newcastle-Ottawa Scale) was applied to assess the quality of the study, using a propensity score matching subgroup (Stang, 2010), which contains participants’ selection (four projects), comparability (one item) and outcome evaluation (three projects), for a total score of 9. The test scores were 7–9 for high quality.

Data analysis

Stata 15.0 (StataCorp LLC, College Station, TX) software for metaanalysis. Risk ratio (RR) acts in combination with confidence interval (95% CI) for LR and distant metastasis. Hazard ratio (HR) of 95% CI was used to aggregate DFS and OS. Heterogeneity test were performed using Cochrane Q assay and Higgins I2 statistic. I2 showed no significant, moderate, significant and significant heterogeneity in the range of 0–25%, 26%–50%%, 51%–75% and 76%–100%, The statistical methods of meta-analysis include fixed effect model and random effect model. The fixed effect model assumes that each independent study comes from the same population, and the variability between different studies is very small.Random effect model means that each study comes from different populations, and each study has great variability.

Results

Study selection

Detailed study selection process is shown in Fig. 1. A total of 1013 relevant articles were retrieved (PubMed = 109, Embase = 292, Cochrane = 126, Web of Science = 486). After removing duplicates (n = 332), 607 irrelevant articles were excluded, and full-texts of the remaining 74 articles were read. Finally, eight studies were included in this meta-analysis. It should be noted that although Veronesi et al. (2013) and Orecchia et al. (2021) were both based on ELIOT clinical trial, Veronesi et al. (2013) reported DFS, which was not reported by Orecchia et al. (2021). Similarly, based on TARGIT-A clinical trial, Yasser et al. (2019) reported exclusive outcome indicators of distant metastasis, which was not reported in the study by Vaidya et al. (2016). Therefore, we still included these two studies, even though their sample sources were partially duplicated. We did not calculate the total sample size due to repeated publication, but we conducted subgroup analyses of the studies.

Flow diagram of the study selection process.

Figure 1: Flow diagram of the study selection process.

Characteristics of included studies

Detailed characteristics of included studies are shown in Table 1. Among the included studies, one study was retrospective-design and the rest of the 7 were all RCT. Most of the studies were multi-regional and multi-centered. The study by Vaidya et al. (2016), involved 11 countries with 33 centers including the United Kingdom (714), Australia (394), Italy (476), Germany (734), the United States (266), Poland (42), Denmark (514), Canada (24), Switzerland (98), Norway (111), and France(78). The study population of Mi et al. (2020) was Chinese. The included studies were published between 2013 and 2021 (median: 2020). Most participants were younger than 60, with a tumor grade of G2 and a T1 size but no lymph node metastasis.

Table 1:
Detailed characteristics of included studies.
Author Year Country Number of cases Age Tumor staging Tumor size Lymph node metastasis
IORT EBRT IORT EBRT IORT EBRT IORT EBRT IORT EBRT
Vaidya JS 2016 33 centers in 11 countries 1721 1730 <60:677
≥60:781
<60:670
≥60:807
G1 538
G2 757
G3 232
G1 558
G2 720
G3 227
T1:1362
T2:190
T1:1323
T2:207
None: 1348
Visible:194
None: 1343
Visible:178
2020 581 572 <60:196
≥60:385
<60:194
≥60:284
G1 305
G2 204
G3 31
G1 339
G2 159
G3 33
T1:543
T2:33
T1:533
T2:27
None: 536
Visible:30
None: 533
Visible:19
2021 1140 1158 <60:953
≥60:1345
<60:474
≥60:684
G1 275
G2 621
G3 226
G1 286
G2 615
G3 217
T1:949
T2:176
T1:927
T2:190
None: 931
Visible:185
None: 946
Visible:172
YA Madyan 2019 Germany 90 90 Median:64 Median:65 G1 18
G2 56
G3 16
G1 19
G2 55
G3 16
T1:79
T2:11
T1:76
T2:14
None: 74
Visible:16
None: 71
Visible:19
Y Mi 2020 China 82 199 <60:41
≥60:23
<60:42
≥60:22
G1 5
G2 50
G3 9
G1 9
G2 42
G3 13
T1:47
T2:17
T1:51
T2:13
None: 57
Visible:7
None: 55
Visible:9
U Veronesi 2013 European Institute of
Oncology
651 654 <60:330
≥60:123
<60:310
≥60:344
G1 196
G2 305
G3 129
G1 160
G2 328
G3 145
T1:562
T2:83
T1:554
T2:103
None: 478
Visible:169
None: 471
Visible:176
R Orecchia 2021 651 654 <60:310
≥60:344
<60:330
≥60:321
G1 160
G2 328
G3 145
G1 196
G2 305
G3 129
T1:544
T2:103
T1:562
T2:83
None: 478
Visible:169
None: 471
Visible:176
A Ciabattoni 2021 Italy 125 110 Average
56.3
Average
56.2
G1-2:81
G3: 44
G1-2:73
G3:27
T1:96
T2:28
T1:79
T2:22
None: 82
Visible:43
None: 68
Visible:42
DOI: 10.7717/peerj.15949/table-1

In addition, Table 2 provided the outcome indicator information about LR, distant metastasis, DFS, and OS for both the two groups of patients in all studies.

Table 2:
Characteristics of included studies.
Author Year Follow Time LR Metastasis
IORT EBRT IORT EBRT
Event N-Event Total Event N-Event Total Event N-Event Total Event N-Event Total
Vaidya, JS 2016 5 23 1698 1721 11 1719 1730 / / / / / /
2020 10 / / / / / / / / / / / /
2021 12 144 996 1140 139 1019 1158 / / / / / /
YA Madyan 2019 5 / / / / / / 3 87 90 2 88 90
Y Mi 2020 5 3 79 82 6 193 199 0 82 82 5 194 199
U Veronesi 2013 5 / / / / / / / / / / / /
R Orecchia 2021 5 33 618 651 5 649 654 29 622 651 31 623 654
10 64 587 651 9 645 654 39 612 651 49 605 654
15 81 570 651 18 636 654 / / / / / /
A Ciabattoni 2021 5 7 118 125 9 101 110 / / / / / /
2021 10 12 113 125 10 100 110 3 122 125 3 107 110
Author Year Follow time DFS OS
IORT EBRT IORT EBRT
Event N-Event Total Event N-Event Total Event N-Event Total Event N-Event Total
Vaidya, JS 2016 5 78 1643 1721 69 1661 1730 37 1684 1721 51 1679 1730
2020 10 62 510 572 62 519 581 56 525 581 62 510 572
2021 12 / / / / / / 110 1030 1140 131 1027 1158
YA Madyan 2019 5 / / / / / / / / / / / /
Y Mi 2020 5 3 79 82 12 187 199 2 80 82 4 195 199
U Veronesi 2013 5 23 628 651 20 634 654 / / / / / /
R Orecchia 2021 5 / / / / / / 21 630 651 21 633 654
10 / / / / / / 61 590 651 61 593 654
15 / / / / / / 108 543 651 115 539 654
A Ciabattoni 2021 5 11 114 125 10 100 110 7 118 125 1 109 110
2021 10 20 105 125 21 89 110 10 115 125 6 104 110
DOI: 10.7717/peerj.15949/table-2

Quality assessment

The included studies were mainly RCT, with open-label design, which exerted no substantial impact on the assessment of the results. The study by Mi et al. (2020) were retrospective, which used propensity score matching method. The retrospective studies were evaluated by the NOS scale and scored for 8 (Table 3).

Table 3:
Quality assessment of included studies.
Author Year v1 v2 v3 v4 v5 v6 v7
Vaidya, JS 2016 Low High Low Low Low Low Low
Vaidya, JS 2020 Low High Low Low Low Low Low
Vaidya, JS 2021 Low High Low Low Low Low Low
YA Madyan 2019 Low High Low Low Low Low Low
U Veronesi 2013 Low High Low Low Low Low Low
R Orecchia 2021 Low High Low Low Low Low Low
A Ciabattoni 2021 Low High Low Low Low Low Low
DOI: 10.7717/peerj.15949/table-3

Notes:

v1

Random sequence generation

v2

Allocation concealment

v3

Performance bias

v4

Detection bias (Blinding of outcome assessment)

v5

Attrition bias (Incomplete outcome data)

v6

Reporting bias (Selective reporting)

v7

Other bias

Meta-Analysis Results

Local recurrence

There were four studies (Vaidya et al., 2016; Mi et al., 2020; Ciabattoni et al., 2021; Orecchia et al., 2021) that reported LR. Random-effect model was used due to significant heterogeneity among the studies (I2 =89.3%). Meta-analysis showed that there was no significant difference in the short-term risk of LR between IORT group and EBRT group [RR =1.90, 95%CI (0.73, 4.96), P = 0.190>0.05], which was inconsistent with the long-term risk of LR between the two groups [10-year RR =2.78, 95%CI(0.41, 18.80)P =0.295.>0.05] [12-year RR =1.05, 95%CI(0.85, 1.31)P =0.647.>0.05] [15-year RR =4.52, 95%CI (2.74, 7.45)P =0.000<0.05] (Fig. 2A). Sensitivity analysis showed that after removing each study one by one, the results did not reverse, indicating the robustness of the results (Fig. 2B). The funnel plot visually illustrated the publication bias of each study, and the Egger‘s test showed no publication bias (Fig. 2C).

(A–C) Analysis of local recurrence.

Figure 2: (A–C) Analysis of local recurrence.

Distant metastasis

There were four studies (Mi et al., 2020; Ciabattoni et al., 2021; Orecchia et al., 2021; Yasser et al., 2019) that reported the incidence of distant metastasis. No heterogeneity was observed among the studies (I 2 =0.0%), and fixed-effect model was applied. Meta-analysis showed that there was no significant difference in the incidence of distant metastasis between the two groups [5-year RR =0.93, 95%CI (0.58, 1.50), P = 0.778>0.05] [10-year RR =0.80, 95%CI (0.54, 1.19), P = 0.278>0.05] (Fig. 3A). This indicated that IORT and EBRT had similar risk for distant metastasis. Sensitivity analysis showed that the removal of each study one by one did not reverse the results, indicating its robustness (Fig. 3B). The funnel plot visually illustrated the publication bias of each study, and the Egger‘s test showed no publication bias (Fig. 3C).

(A–C) Analysis of distant metastasis.

Figure 3: (A–C) Analysis of distant metastasis.

Disease-free survival

There were five studies (Veronesi et al., 2013; Vaidya et al., 2016; Mi et al., 2020; Ciabattoni et al., 2021; Vaidya et al., 2020a) that reported DFS. No heterogeneity was observed among the studies (I 2 =0.0%), and fixed-effect model was applied. Meta-analysis showed that there was no significantly statistical difference in the DFS between the two groups [5-year RR =1.09, 95%CI (0.84, 1.41), P = 0.506>0.05] [10-year RR =0.97, 95%CI (0.73, 1.28), P = 0.810>0.05] (Fig. 4A). This indicated that IORT and EBRT had similar DFS. Sensitivity analysis showed that the removal of each study one by one did not reverse the results, indicating its robustness (Fig. 4B). The funnel plot visually illustrated the publication bias of each study, and the Egger‘s test showed no publication bias (Fig. 4C).

(A–C) Analysis of the disease-free survival.

Figure 4: (A–C) Analysis of the disease-free survival.

Overall survival

There were six studies (Vaidya et al., 2016; Mi et al., 2020; Ciabattoni et al., 2021; Orecchia et al., 2021; Vaidya et al., 2020a; Vaidya et al., 2021) that reported OS. No heterogeneity was observed among the studies (I 2 =0.0%), and fixed-effect model was applied. Meta-analysis showed that there was no significant difference in OS between the two radiotherapy methods [5-year RR =0.96, 95%CI (0.58, 1.58), P = 0.865>0.05] [10-year RR =0.97, 95%CI (0.77, 1.22), P = 0.797>0.05] [12-year RR =0.85, 95%CI (0.67, 1.08) P = 0.194>0.05] [15-year RR =0.94, 95%CI (0.74, 1.20), P = 0.633>0.05] (Fig. 5A). This indicated that IORT and EBRT had similar OS. Sensitivity analysis showed that the removal of each study one by one did not reverse the results, indicating its robustness (Fig. 5B). The funnel plot visually illustrated the publication bias of each study, and the Egger‘s test showed no publication bias (Fig. 5C).

(A–C) Analysis of the overall survival.

Figure 5: (A–C) Analysis of the overall survival.

Discussion

This meta-analysis indicates that the difference in the efficacy of IORT and EBRT in preventing long-term LR remains elusive in patients with early-stage breast cancer, and both these two methods have no effects on preventing the short term LR (within 5 years). In addition, there were no significant differences in reducing the risk for distant metastasis risk, DFS, and OS (P > 0.05) between IORT and EBRT, This result shows that:IORT would be more convenient, time-saving, and cost-effective, and would be more effective in reducing the side effects and toxicity. However, these advantages must be weighed against the possibility of increasing the risk of long-term LR.which is in consistence with the study by Kolberg et al. (2017). They have found no significant difference between IORT and EBRT in terms of LR, distant relapse or any relapse. IORT might be more effective than EBRT in prolonging LR-free survival and DFS, while the difference is statistically unsignificant.

A study by Moini et al. (2020) also found that within 54 months, IORT patients had three (1.2%) LR, while EBRT patients had eight (2.5%) LR (P = 0.361) and 12 (4.7%) LR metastasis. the EBRT group 20 (6.2%) (P = 0.724). The 5-year DFS (DFS) was 85.1% in the IORT group, compared with 86% in the EBRT group. 50 kV X-ray IORT tumor bed boost were effective in breast preservation treatment, but there was no significant difference compared to EBRT. These results suggest that IORT and EBRT contribute similarly to the OS in patients with early-stage breast cancer, and only part of the patients may face the risk of long-term LR. Is it common in the tumor characteristics in patients with LR? The association between the characteristics of patients receiving IORP and the incidence of LR was assessed by Veronesi et al. (2013) and Hein et al. (1986) and found that larger tumor size (>2 cm), grade-3 tumor features with more than 4 positive lymph nodes, and triple negative breast cancer were significantly associated with LR. In view of these tumor features with high recurrence risk, would IORT combined with EBRT be beneficial compared with single EBRT? A preliminary study by Vaidya et al. (2010) nonrandomized patients who received IORT+EBRT to those who received EBRT only and found significant reductions in non-breast cancer mortality (0/218 vs 24/892, p = 0.012). A study by Yasser et al. (2019) also compared IORT+EBRT with EBRT in survival-improving, and the results showed that the 5-year risk for LR was 0% in IORT+EBRT group, and 1.1% in EBRT group. However, this result might be affected by limited sample size (n = 90).

IORT includes IOERT and intraoperative X-ray radiation therapy IOXRT, Four of the RCT we included in the analysis were IOXRT (Vaidya et al., 2016; Vaidya et al., 2020a; Vaidya et al., 2021; Mi et al., 2020) and three were IOERT (Veronesi et al., 2013; Orecchia et al., 2021; Ciabattoni et al., 2021). Does different radiotherapy methods, dose and timing affect treatment outcome? In a study by Hashemi et al. (2021), IORT was delivered with both X-ray and electrons, and each group was divided into radical and boost dose subgroups, and the efficacy of this modality with the control group that received WBRT was compared. With a mean follow-up of 34.5 and 40.18 months for the IORT and EBRT groups, respectively, there was a significant difference in DFS between electron boost and X-ray boost groups (P = 0.037) and the electron radical group compared with EBRT (P = 0.025), but there was no significant difference between other boost and radical groups in DFS and OS.

A study by Vaidya et al. (2020b) assessed the effect of IORT and WBI delays on LR and Survival. The 5-year incidence of LR was: delayed TARGIT-IORT vs EBRT [23/581(3.96%) vs 6/572 (1.05%); difference 2.91%; upper 90% CI vs 4.4%]. Long-range follow-up (median [IQR], 9.0 [7.5–10.5] years], LR-free survival (HR, 0.75; 95% CI [0.57–1.003]; P = 0.52), mastectomy free survival (HR, 0.88; 95% CI [0.65–1.18]; P = 0.38), CI [0.72–1.39]; P = 0.98, 0.95%These long-term data show no statistically significant decrease in mastectomy survival, distant DFS, or OS, despite an increase in the number of patients with LR in delayed TARGIT-IORT group. Tumor radiotherapy improves local control and survival, as well as multiple adverse reactions, including cardiotoxicity and secondary malignancies (Henson et al., 2013). Veronesi et al. (2013) compared the skin side effects involved in IORT and EBRT and found that the skin side effects in the IORT group were less than those in EBRT group, with erythema (P < 0.0001), dryness (P = 0.04), pigmentation(P = 0.0004), and pruritus (P = 0.002). Vaidya et al. (2020a), Vaidya et al. (2021), Sarles et al. (1989), and Preskorn et al. (2022) demonstrated a similar incidence of complications and severe toxicity in patients receiving IORT and EBRT [severe toxicity: Targit 37/1113 (3.3%) vs.. EBRT 44/1119 (3.9%); p = 0.44). The incidence of radiation toxicity was lower in the TARGIT group (6 cases, 0.5%) than in EBRT group (23 cases, 2.1%; p = 0.002). Among the complications six months after surgery, the incidence of wound-related complications was generally the same between the two groups, while TARGIT significantly had lower incidence of grade-3 or grade-4 skin complications (4/1720 vs. 13/1731; p = 0.029). For patients undergoing breast reconstruction, IORT would be more preferable (Krivorotko et al., 2021; Fertsch et al., 2017) Long-term and continuous external breast irradiation could cause contracture of dilator or prosthesis, asymmetry even deformity of breast morphology and healthy side, so that cause complications such as prosthesis rupture and dilator infection. The use of IORT can effectively avoid this issue. The prosthesis or dilator can be implanted after radiotherapy to avoid radiotherapy radiation. The breast skin will not be changed after radiotherapy. Compared with EBRT, IORT also has certain merits in health economics (Shah et al., 2014). If an IORT is used in the right patient instead of an EBRT, it could save healthcare providers between £8 million and £9.1 million annually. This does not include environmental, patient, and social costs (Vaidya et al., 2017). Patients receiving IORT would not need to visit the radiation center every day for weeks, and even in 2015, in a modern urban community, New Jersey, patients who lived more than 9.2 miles from a radiation facility had a 36% higher chance of getting a mastectomy than those lived less than 9.2 miles from the facility (Preskorn et al., 2022). Therefore, IORT presents to be more convenient, time-saving, and cost-effective for the patients, so that improves their quality of life and reduce the risk for side effects and toxicity. However, these advantages must be weighed against the possibility of increasing the risk of LR.

Our study had the following strengths: Firstly, we included RCTs and propensity-matching scoring subgroup study of high-quality. Secondly, we assessed the short-term (5-year) and long-term (15-year) follow-up outcomes. Thirdly, our meta-analysis involved a large sample size, and the participants covered multiple centers in various regions so that avoided possible racial and social impacts to a large extent. However, several limitations also existed. Although we reflect the results of the long-term follow-up, the study on each index was rarely reported. Our discussion of side effects, toxicity, and cost was also limited to selected articles and did not synthesize a systematic analysis of all relevant studies. These limitations are expected to be resolved in future by more clinical trials and meta-analyses of high quality.

Conclusion

IORT and EBRT have similar short-term LR risk in early breast cancer patients, but their impact on long-term LR remains unclear. There is no significant difference between the two approaches in reducing the risk of distant metastasis in early breast cancer and improving DFS and OS. Using IORT is more practical, less time-consuming, less costly, and more effective at reducing side effects and toxicity. However, these benefits need to be balanced against the potential for long-term increases in LR risk.We have registered the concrete details on Inplasy, DOI: 10.37766/inplasy2023.5.0025 (Liu et al., 2023).

Supplemental Information

PRISMA checklist

DOI: 10.7717/peerj.15949/supp-1

Retrieval records

DOI: 10.7717/peerj.15949/supp-2

Meta-Analysis Rationale

DOI: 10.7717/peerj.15949/supp-3
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