| Literature DB >> 34976796 |
Linwei Wang1, Min Sun2, Shuailong Yang3, Yuanyuan Chen1, Tian Li4.
Abstract
OBJECTIVE: Intraoperative radiotherapy (IORT) in early-stage breast cancer has been studied over the years. However, it has not been demonstrated whether IORT is more suitable as a therapeutic option for early-stage breast cancer than whole breast radiotherapy (WBRT). Therefore, we performed a meta-analysis to compare the efficacy and safety of IORT to those of WBRT as therapeutic options for early-stage breast cancer patients receiving breast-conserving surgery (INPLASY2020120008).Entities:
Keywords: breast cancer; intraoperative radiotherapy; meta-analysis; therapeutic option; whole breast radiotherapy
Year: 2021 PMID: 34976796 PMCID: PMC8716392 DOI: 10.3389/fonc.2021.737982
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Figure 1Flowchart of the identification process for eligible studies.
Baseline characteristics of the included RCTs.
| RCTs | Patients (n) | Treatment planning | IORT device | County | Median follow-up (months) | ||
|---|---|---|---|---|---|---|---|
| IORT | WBRT | IORT | WBRT | ||||
| Vaidya ( | 1,721 | 1,730 | 20 Gy | 40–56 Gy with or without a boost of 10–16 Gy, standard tangents | The Intrabeam device (Carl Zeiss Meditec, Oberkochen, Germany) | Multicenter | 60.0 |
| Elsberger ( | 61 | 80 | 20 Gy | 40–56 Gy with or without a boost of 10–16 Gy, standard tangents | The Intrabeam device (Carl Zeiss Meditec, Oberkochen, Germany) | Tayside, Scotland | 51.6/61.2 |
| Veronesi & Orecchia ( | 651 | 654 | 21 Gy | 50 Gy given in 25 fractions using tangential beams, followed by a boost dose of 10 Gy in 5 fractions | NOVAC 7 (Hythesis, Latina, Italy) and Liac (Info and Tech, Rome, Italy) | Multicenter | 69.6 |
| Peng ( | 60 | 60 | 21 Gy | NA | Linear accelerator | China | 8.0–24.0 |
| Xiao ( | 70 | 70 | 21 Gy | NA | Linear accelerator | China | 8.0–24.0 |
| Engel ( | 27 | 21 | 20 Gy | 40–56 Gy with or without a boost of 10–16 Gy, standard tangents | The Intrabeam device (Carl Zeiss Meditec, Oberkochen, Germany) | Heidelberg, Germany | 51.6 |
| Andersen ( | 126 | 112 | 20 Gy | 40–56 Gy with or without a boost of 10–16 Gy, standard tangents | The Intrabeam device (Carl Zeiss Meditec, Oberkochen, Germany) | Copenhagen, Denmark | 17.4/17.1 |
| Sperk ( | 54 | 55 | 20 Gy | 40–56 Gy with or without a boost of 10–16 Gy, standard tangents | The Intrabeam device (Carl Zeiss Meditec, Oberkochen, Germany) | Mannheim, Germany | 40.0/42.0 |
| Rivera ( | 14 | 16 | 20 Gy | 40–56 Gy with or without a boost of 10–16 Gy, standard tangents | The Intrabeam device (Carl Zeiss Meditec, Oberkochen, Germany) | Los Angeles, California | 48.0 |
| Corica ( | 60 | 66 | 16–33 Gy | 45–50.4 Gy in 25–28 fractions | The Intrabeam device (Carl Zeiss Meditec, Oberkochen, Germany) | Western Australia | 47 |
RCTs, randomized controlled trials; IORT, intraoperative radiotherapy; WBRT, whole breast radiotherapy; NA, not available.
Figure 2Forest plots of main survival outcomes. (A) LRFS. (B) OS. (C) RFS. (D) DMFS. (E) CSS.
Survival outcomes of pooled estimations of OS, RFS, LRFS, DMFS, and CSS in breast cancer patients with IORT and WBRT.
| Outcome | No. of trials (patients) | RR (95% CI)Fixed-effect estimate | p value of fixed-effect model | RR (95% CI)Random-effect estimate | p value of random-effect model | Heterogeneity I2 (%) | p value of heterogeneity | p value of Egger’s test | p value of Begg’s test |
|---|---|---|---|---|---|---|---|---|---|
| LRFS | 5 (5016) | 1.984 (1.609–2.447) | <0.0001 |
|
| 78.6% | 0.0009 | 0.7216 | 0.6242 |
| OS | 5 (5016) | 0.966 (0.827–1.129) | 0.6649 | 0.967 (0.828–1.129) | 0.6705 | 0.0% | 0.6869 | 0.4383 | 0.3272 |
| RFS | 5 (5016) | 1.626 (1.409–1.876) | <0.0001 | 1.687 (0.884–3.219) | 0.1127 | 91.1% | <0.0001 | 0.7468 | 0.1416 |
| DMFS | 4 (4896) | 0.934 (0.795–1.099) | 0.4120 | 0.935 (0.795–1.100) | 0.4177 | 0.0% | 0.8663 | 0.9333 | 1.0000 |
| CSS | 5 (5016) | 1.153 (0.906–1.466) | 0.2477 | 1.150 (0.904–1.464) | 0.2540 | 0.0% | 0.9793 | 0.3080 | 0.3272 |
RR, relative risk; CI, confidence interval; OS, overall survival; RFS, recurrence-free survival; LRFS, local recurrence-free survival; DMFS, distant metastasis-free survival; CSS, cancer-specific survival.
I2: index for assessing heterogeneity; value ≥40% indicates a moderate to high heterogeneity.
Egger’s test: p value of Egger’s regression for asymmetry assessment.
Begg’s test: p value of Begg and Mazumdar rank correlation test for asymmetry assessment.
Bold italics indicate statistically significant values (p < 0.05).
Figure 3Subgroup analysis for LRFS in breast cancer patients with IORT vs. EBRT. (A) Asian/Follow-up shorter than 2 years/Published before 2020 subgroup and Caucasian/Follow-up longer than 2 years/Published after 2020 subgroup. (B) Monocentric RCT and polycentric RCT subgroups.
Subgroup analysis for survival outcomes of OS, RFS, LRFS, DMFS, and CSS in breast cancer patients with IORT and WBRT.
| Outcome | Subgroups | No. of trials | RR (95% CI) | p value of fixed-effect model | RR (95% CI) | p value of random-effect model | I2 | Heterogeneity p | p between subgroupRandom-effect estimate |
|---|---|---|---|---|---|---|---|---|---|
| Fixed-effect estimate | Random-effect estimate | ||||||||
| LRFS | Before 2020/Asian/Follow-up time shorter than 2 years | 2 | 1.000 [0.255; 3.916] | 1 | 0.984 [0.240; 4.042] | 0.9820 | 0.00% | 0.4658 | 0.2681 |
| After 2020/Caucasian/Follow-up time longer than 2 years | 3 | 2.018 [1.632; 2.496] | <0.0001 |
|
| 88.47% | 0.0002 | ||
| Monocentric | 3 | 3.715 [2.289; 6.028] | <0.0001 | 2.272 [0.658; 7.837] | 0.1941 | 53.62% | 0.1158 | 0.7417 | |
| Polycentric | 2 | 1.637 [1.294; 2.070] | <0.0001 | 1.800 [0.970; 3.341] | 0.0625 | 81.04% | 0.0216 | ||
| OS | Before 2020/Asian/Follow-up time shorter than 2 years | 2 | 1.667 [0.223; 12.448] | 0.6185 | 1.601 [0.200; 12.826] | 0.6578 | 0.00% | 0.6077 | 0.6340 |
| After 2020/Caucasian/Follow-up time longer than 2 years | 3 | 0.963 [0.824; 1.125] | 0.6313 | 0.964 [0.825; 1.127] | 0.6456 | 0.00% | 0.4111 | ||
| Monocentric | 3 | 1.046 [0.808; 1.354] | 0.7321 | 1.043 [0.806; 1.351] | 0.7479 | 0.00% | 0.8076 | 0.5314 | |
| Polycentric | 2 | 0.926 [0.762; 1.124] | 0.4360 | 0.934 [0.744; 1.174] | 0.5611 | 24.06% | 0.2512 | ||
| RFS | Before 2020/Asian/Follow-up time shorter than 2 years | 2 | 1.000 [0.297; 3.367] | 1.0000 | 0.982 [0.283; 3.404] | 0.9767 | 0.00% | 0.4899 | 0.3810 |
| After 2020/Caucasian/Follow-up time longer than 2 years | 3 | 1.638 [1.418; 1.892] | <0.0001 | 1.871 [0.900; 3.888] | 0.0933 | 95.46% | <0.0001 | ||
| Monocentric | 3 | 4.017 [2.871; 5.621] | <0.0001 | 2.211 [0.620; 7.885] | 0.2214 | 65.17% | 0.0566 | 0.3591 | |
| Polycentric | 2 |
|
| 1.214 [1.031; 1.429] | 0.0201 | 0.00% | 0.4327 | ||
| DMFS | Before 2020/Asian/Follow-up time shorter than 2 years | 1 | 1.000 [0.064; 15.673] | 1.0000 | 1.000 [0.064; 15.673] | 1.0000 | NA % | 1.0000 | 0.9619 |
| After 2020/Caucasian/Follow-up time longer than 2 years | 3 | 0.934 [0.794; 1.099] | 0.4110 | 0.935 [0.795; 1.100] | 0.4169 | 0.00% | 0.6953 | ||
| Monocentric | 2 | 0.858 [0.590; 1.248] | 0.4242 | 0.858 [0.590; 1.248] | 0.4237 | 0.00% | 0.9125 | 0.6182 | |
| Polycentric | 2 | 0.954 [0.797; 1.142] | 0.6068 | 0.954 [0.797; 1.142] | 0.6066 | 0.00% | 0.4936 | ||
| CSS | Before 2020/Asian/Follow-up time shorter than 2 years | 2 | 1.667 [0.223; 12.448] | 0.6185 | 1.601 [0.200; 12.826] | 0.6578 | 0.00% | 0.6077 | 0.7543 |
| After 2020/Caucasian/Follow-up time longer than 2 years | 3 | 1.146 [0.899; 1.460] | 0.2711 | 1.145 [0.899; 1.460] | 0.2728 | 0.00% | 0.9622 | ||
| Monocentric | 3 | 1.120 [0.754; 1.664] | 0.5751 | 1.115 [0.750; 1.658] | 0.5895 | 0.00% | 0.8259 | 0.8470 | |
| Polycentric | 2 | 1.172 [0.865; 1.587] | 0.3055 | 1.172 [0.865; 1.587] | 0.3062 | 0.00% | 0.8942 |
RR, relative risk; CI, confidence interval; OS, overall survival; RFS, recurrence-free survival; LRFS, local recurrence-free survival; DMFS, distant metastasis-free survival; CSS, cancer-specific survival.
I2: index for assessing heterogeneity; value ≥40% indicates a moderate to high heterogeneity.
Bold italics indicate statistically significant values (p < 0.05).
Figure 4Subgroup analysis for OS in breast cancer patients with IORT vs. EBRT. (A) Asian/Follow-up shorter than 2 years/Published before 2020 subgroup and Caucasian/Follow-up longer than 2 years/Published after 2020 subgroup. (B) Monocentric RCT and polycentric RCT subgroups.
Figure 5Subgroup analysis for RFS in breast cancer patients with IORT vs. EBRT. (A) Asian/Follow-up shorter than 2 years/Published before 2020 subgroup and Caucasian/Follow-up longer than 2 years/Published after 2020 subgroup. (B) Monocentric RCT and polycentric RCT subgroups.
Figure 6Subgroup analysis for DMFS in breast cancer patients with IORT vs. EBRT. (A) Asian/Follow-up shorter than 2 years/Published before 2020 subgroup and Caucasian/Follow-up longer than 2 years/Published after 2020 subgroup. (B) Monocentric RCT and polycentric RCT subgroups.
Figure 7Subgroup analysis for CSS in breast cancer patients with IORT vs. EBRT. (A) Asian/Follow-up shorter than 2 years/Published before 2020 subgroup and Caucasian/Follow-up longer than 2 years/Published after 2020 subgroup. (B) Monocentric RCT and polycentric RCT subgroups.
Information of radiotherapy-related AEs.
| Specific AEs | No. of trials (patients) | RR (95% CI) | p value of Fixed-effect model | RR (95% CI) | p value of Random-effect model | Heterogeneity I2 (%) | p value of heterogeneity | p value of Egger’s test | p value of Begg’s test |
|---|---|---|---|---|---|---|---|---|---|
| Fixed-effect estimate | Random-effect estimate | ||||||||
| Fat toxicity | 5 (469) |
|
| 3.346 (1.628–6.876) | 0.0010 | 0.0% | 0.7047 | 0.0399 | 0.6242 |
| Edema | 2 (260) |
|
| 3.108 (0.873–11.069) | 0.0801 | 37.2% | 0.2068 | NA | NA |
| Skin toxicity | 2 (4327) |
|
| 0.275 (0.156–0.485) | <0.0001 | 0.0% | 0.8110 | NA | NA |
| Scar calcification | 3 (209) |
|
| 2.387 (1.211–4.707) | 0.0120 | 0.0% | 0.5417 | 0.0975 | 0.1172 |
| Excellent/good cosmetic outcome | 3 (386) | 1.230 (1.089–1.388) | 0.0008 | 1.225 (0.941–1.594) | 0.1313 | 78.7% | 0.0092 | 0.3950 | 0.6015 |
| Pulmonary fibrosis | 2 (287) | 0.254 (0.144–0.447) | <0.0001 | 0.295 (0.028–3.115) | 0.3100 | 92.6% | 0.0002 | NA | NA |
| Seroma | 2 (3489) | 2.315 (0.527–10.176) | 0.2664 | 2.306 (0.519–10.252) | 0.2725 | 0.0% | 0.7391 | NA | NA |
| Pain | 2 (347) | 0.819 (0.574–1.170) | 0.2730 | 0.848 (0.524–1.372) | 0.5012 | 29.4% | 0.2341 | NA | NA |
| Architectural distortion | 3 (209) | 1.085 (0.899–1.311) | 0.3948 | 1.038 (0.806–1.336) | 0.7726 | 48.5% | 0.1433 | 0.2143 | 0.1172 |
| Any retraction | 2 (139) | 1.390 (0.894–2.163) | 0.1437 | 1.338 (0.850–2.105) | 0.2082 | 5.5% | 0.3036 | NA | NA |
RR, relative risk; CI, confidence interval; NA, not available..
I2: index for assessing heterogeneity; value ≥40% indicates a moderate to high heterogeneity.
Egger’s test: p value of Egger’s regression for asymmetry assessment.
Begg’s test: p value of Begg and Mazumdar rank correlation test for asymmetry assessment.
Bold italics indicate statistically significant values (p < 0.05).
Figure 8Funnel plot for publication bias in the survival outcomes. (A) LRFS. (B) OS. (C) RFS. (D) DMFS. (E) CSS.