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The oncological safety of autologous fat grafting: a systematic review and meta-analysis

Abstract

Objective

To present a systematic review of the literature and a meta-analysis evaluating the oncological safety of autologous fat grafting (AFG).

Summary background data: AFG for breast reconstruction presents difficulties during follow-up radiological exams, and the oncological potential of grafted fat is uncertain. Previous studies confirmed that the fatty tissue could be transferred under a good condition suitable would not interfere with mammographic follow-up, although the issue of oncological safety remains.

Methods

We reviewed the literature published until 01/18/2021. The outcomes were overall survival (OS), disease-free survival (DFS), and local recurrence (LR). We included studies that evaluated women with breast cancer who undergone surgery followed by reconstruction with AFG. We synthesized data using the inverse variance method on the log-HR (log of the hazard ratio) scale for time-to-event outcomes using RevMan. We assessed heterogeneity using the Chi2 and I2 statistics.

Results

Fifteen studies evaluating 8541 participants were included. The hazard ratios (HR) could be extracted from four studies, and there was no difference in OS between the AFG group and control (HR 0.9, 95% CI 0.53 to 1.54, p = 0.71, I2 = 58%, moderate certainty evidence), and publication bias was not detected. The HR for DFS could be extracted from six studies, and there was no difference between the AFG group and control (HR 1.01, 95% CI 0.73 to 1.38, p = 0.96, I2 = 0%, moderate certainty evidence). The HR for LR could be extracted from ten studies, and there was no difference between the AFG group and control (HR 0.86, 95% CI 0.66 to 1.12, p = 0.43, I2 = 1%, moderate certainty evidence).

Conclusion

According to the current evidence, AFG is a safe technique of breast reconstruction for patients that have undergone BC surgery and did not affect OS, DFS, or LR.

Peer Review reports

Introduction

Autologous fat grafting (AFG) in the breast, to improve its volume and form, was first described at the end of the last century [1]. This technique has been used since the beginning of liposuction, under the term lipofilling. AFG, for breast reconstruction, presents difficulties during follow-up in radiological exams, and the oncological potential of grafted fat is uncertain. These issues lead to a recommendation from the American Society Of Plastic and Reconstructive Surgeons, contraindicating the technique in the breast’s aesthetic and reconstructive plastic surgery in 1987 [2]. However, the work of Coleman and Saboeiro in 2007 confirmed that the fatty tissue could be transferred under suitable conditions, provided that a rigorous preparation and transfer protocol is respected and would not interfere with mammographic follow-up, although the issue of oncological safety remained controversial [3].

Additionally, AFG complications include calcifications, fat necrosis, and cyst formation, which can potentially restrict the early diagnosis of breast cancer and the follow-up of patients with a history of breast cancer [4]. Recently, AFG has been indicated for conservative and radical surgery reconstruction following breast cancer and after or combined with risk-reduction procedures. In conservative treatment, it allows for correcting a defect, a retractile scar, and insufficiency of breast volume. In radical surgery, AFG may complement the reconstruction, and it can be used either before or after radiation treatment to correct breast implant exposure,e among other defects [5, 6]. Recent publications have shown that AFG can be used as the only alternative to breast reconstruction in patients with breasts of small volumes [7]. AFG is helpful in the various stages of breast reconstruction, correcting contours, ending with a more natural appearance of the breast in eligible patients. Despite the current widespread indication and utility of AFG, some questions are related to the AFG technique and its oncological safety.

Currently, there is no evidence to support a specific technique of AFG as a gold standard because of the absence of well-designed prospective studies [8].

The uncertainty surrounding AFG safety is due to adipose-derived stem cells (ASC) in angiogenesis, tissue regeneration, inflammation, and wound healing. Translational studies on this subject resulted in conflicting evidence. Goto et al. [9] demonstrated that culture of patient-derived-xenograft cells with ASC promoted the growth of tumors, increasing their volumes and burden in immunodeficient mice, mediated by ASC-secreted adipsin. Gebremeskel et al. [10] however, showed that although culturing breast cancer cells in ASC-conditioned media caused an increase in cell proliferation, the same effect was not observed when the cells were cultured in fat graft-conditioned media. Tsuji et al. [11] and Silva et al. [12] found similar results when MDA-MB-231 or MCF-7 cancer cells were mixed with human fat grafts and injected directly into mice. These authors found that mice receiving fat grafting presented lower tumor volumes, possibly having a protective effect on tumor growth.

As treatment recommendations and surgical approaches evolve, decisional conflict may arise when patients with breast cancer (BC) diagnosis face the need to choose a management option, including AFG. In addition, various clinical studies have been published investigating the outcome of AFG as a reconstructive technique following breast cancer surgery [4]. However, a significant part of these studies has been inconclusive and with a lower power of evidence. Most of the current clinical evidence is limited by the retrospective nature of the data, small sample sizes, and relatively short follow-up periods [13].

Thus, to address knowledge gaps regarding the oncological safety of AFG in partial and total breast reconstruction, the present meta-analysis was performed.

Methods

We conducted a systematic review and a meta-analysis to evaluate the oncological safety of AFG after breast cancer surgery. We thoroughly reviewed the peer-reviewed literature on the subject published until 01/18/2021. The analyzed outcomes were overall survival (OS), disease-free survival (DFS), and local recurrence (LR).

Inclusion and exclusion criteria

We included randomized controlled trials, cohort studies, case-control studies which evaluated women with a breast cancer diagnosis who underwent surgery followed by immediate or delayed breast reconstruction with AFG, with control groups in which breast reconstruction did not include AFG.

Case series, duplicate papers, duplicate data, and manuscripts without original data (e.g., comments, reviews, case reports, and technical descriptions) were excluded.

Search strategy

This review was performed following the PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-analyses) [14]. We performed searches in the electronic databases of Medline (via PubMed), EMBASE (via OVID), LILACS (Latin American and Caribbean Health Sciences Literature and Cochrane Library using combinations of search terms for autologous fat grafting and breast cancer. Two reviewers independently assessed all titles and abstracts for possible inclusion. All disagreements were resolved via consensus discussion with a third researcher. There was no language restriction. The search strategies for each database can be found in the Additional file 1.

Data extraction

The following data were retrieved from the studies independently by two reviewers: publication details, study design, study setting, inclusion and exclusion criteria, methods used to control for confounders, characteristics of patients (age, stage, follow up, adjuvant treatment), details of the intervention, outcome measures and withdrawals. All data were obtained from the published results and are summarized in Table 1.

Table 1 Main characteristics of the included studies. The oncological safety of autologous fat grafting: a systematic review and meta-analysis

Assessment of risk of bias of the included studies

Two independent reviewers assessed the methodological quality of the studies using the Downs and Black instrument [29]. This quality assessment checklist comprises 27 questions, with a maximum possible score of 28 points for randomized studies and 25 points for non-randomized studies. The reviewers assessed the methodological quality of each study and the risk of bias for the following domains: reporting bias (10 items), external validity bias (3 items), internal validity bias (7 items), confounding bias (6 items), and power of the studies (1 item). We gave scores of 0 or 1 for each risk of bias domain and the associated specific questions, except for one item related to the analysis of the distribution of confounders, which was scored 0, 1, or 2. Finally, the overall quality of evidence for each study was rated depending on the final score: excellent (score 26 to 28), good (score 20 to 25), fair (score 15 to 19), or poor (< 14).

Statistical analysis

Data synthesis

We synthesized data using RevMan [30]. The appropriate unit of analysis was the individual participant rather than the breast, surgical unit, hospital, or center. We combined data using the inverse variance method on the log-HR scale for time-to-event outcomes and the log-RR scale for dichotomous outcomes. When the data were too diverse to permit the combination of effect sizes in a meaningful or valid manner, we presented the results of individual studies in a table and graphical formats and used a narrative approach to summarize the data.

Measures of treatment effect

We reported time-to-event outcomes (e.g., OS, DFS, and LR) as hazard ratios (HRs) with 95% confidence intervals (CIs). Where only published survival curves were available, hazard ratios were calculated using the method of Parmar et al. [31], which assumes that censoring occurs uniformly between the minimum and maximum follow-up times reported in the study. Where numbers at risk were reported in Kaplan-Meier curves, the method of Williamson and Tierney et al. was used [32, 33]. We reported dichotomous outcomes as risk ratios (RRs). We pooled the data for meta-analysis using the pooled log-RR, when appropriate. We reported continuous outcomes (e.g., quality of life) as mean differences (MDs) with 95% CIs.

Assessment of reporting biases, missing data, and heterogeneity

We contacted study authors to establish a complete data set or reasons for the non-reporting of specific outcomes. When ten or more studies were in meta-analyses, we would perform a funnel plot and egger’s test to investigate publication bias [34]. If publication bias was detected, we conducted a sensitivity analysis, excluding the potential source of bias.

When data were missing or unsuitable for analysis (e.g., intention-to-treat is not used), we contacted the study authors to request further information. When data were missing to the extent that the study cannot be included in the meta-analysis and attempts to retrieve data have been exhausted, we presented the results in the review and discussed the context of the findings.

If appropriate, we assessed the presence of statistical heterogeneity using the Chi2 statistic, and we investigated its extension by using the I2 statistic, which estimates the percentage of total variation across studies due to heterogeneity rather than chance. An I2 value of 30 to 60% may represent moderate heterogeneity, and values greater than 50% may be considered to show substantial heterogeneity [35].

GRADE and ‘summary of findings’

We created a ‘Summary of findings table for the main outcomes for the comparison of AFG versus control. Two authors (BSM and RG) independently assessed the certainty of the evidence using the GRADE framework. We used the five GRADE criteria (study limitations, consistency of effect, imprecision, indirectness, and publication bias) to assess the certainty of a body of evidence and reported this certainty as either high, moderate, low, or very low. We considered the following criteria for upgrading the certainty of evidence, if appropriate: large effect and dose-response gradient. We used the methods and recommendations described in Sections 8.5 and 8.7 and Chapters 11 and 12 of the Cochrane Handbook for Systematic Reviews of Interventions [36,37,38].

We used GRADEpro software [39, 40] (available at https://gradepro.org) to prepare the ‘Summary of findings table. We justified all decisions to downgrade or upgrade the certainty of the evidence using footnotes and made comments to aid the reader’s understanding of the review where necessary. The following outcomes were selected for the Summary of findings table: overall survival, disease-free survival, and local recurrence.

To calculate the absolute risk for the control group for time-to-event outcomes, we estimated the event rate at a specific time point (i.e., the five-year time point for both overall survival and disease-free survival) from the Kaplan-Meier curves or based upon an average of the estimates from studies. We entered these estimated values in GRADEpro GDT software, which automatically populated the corresponding absolute risks for the intervention group at the five-year time point.

Results

Study characteristics

Based on our search strategy, 624 references were identified and screened. After removing duplicates, the title and abstracts of 481 references were screened. Of these, 454 records were discarded, and 25 full-text articles were assessed. Fifteen studies fulfilled our eligibility criteria and were included. (Fig. 1 – PRISMA [Preferred Reporting Items for Systematic Reviews and Meta-analysis] Flowchart) [41]. Four of the selected papers were case-control studies [15, 26,27,28], one transversal [19], whereas nine were cohort studies [5, 16,17,18, 21,22,23,24,25, 42] (See: Table 1 Characteristics of included studies).

Fig. 1
figure 1

Flowchart of the study selection process according to PRISMA guidelines

Characteristics of patients included studies

Sample size

In total, the 15 studies included 8541 participants, 2932 cases had undergone an AFG procedure after immediate breast reconstruction or delay, and 5609 controls that have not undergone AFG.

Participants’ age

The mean age was described in 14 out of 15 studies in Table 1 [5, 15,16,17,18,19, 21,22,23,24,25,26,27, 42]. Twelve studies did not show differences between age groups [5, 15,16,17,18,19, 21,22,23,24,25,26,27, 42]. Two studies reported significant differences between groups, with the AFG group having the youngest participants age than the control group [16, 21].

Surgical indication

The breast surgery indications were 77.8% (6642/8541) due to invasive breast carcinoma, 16.3% (1390/8541) to carcinoma in situ, and 5.9% (509/8541) to prophylactic reasons.

Interventions

The studies included patients that underwent mastectomy or breast-conserving surgery (BCS) for breast cancer treatment, and the AFG procedure was performed either at the same time of immediate breast reconstruction or in a second time surgery. In 7 out of 15 studies, only mastectomy procedures were included [5, 15,16,17,18, 21, 22]; 2 out of 15 included only BCS [19, 23], and 6 out of 15 studies, the patients underwent either BCS or mastectomy [24,25,26,27,28, 42].

In 10 out of 15 studies, the technique used to perform the AFG was Coleman [15, 17,18,19, 22,23,24, 26, 28, 42]. In the remaining six studies, the AFG technique was not mentioned [5, 16, 21, 25, 27].

Adjuvant therapy

Twelve out of fifteen studies described some information about adjuvant therapy treatment (chemotherapy, endocrine therapy, and radiotherapy) [5, 15,16,17,18,19, 21,22,23,24,25,26, 28, 42], and three studies did not provide any information on adjuvant treatment [5, 15,16,17,18,19, 21,22,23,24,25,26,27,28, 42].

The indication of adjuvant therapy was based on clinical practice guidelines. In seven out twelve, there is no difference in adjuvant treatment between groups [5, 15,16,17,18,19, 21,22,23,24,25,26, 28, 42]. In five studies, the adjuvant treatment is different in control and the treatment arms [21, 24, 42]. In Krastev et al., the number of patients receiving hormonal therapy was 40% (119) and 50% (151) in the AFG and control groups, respectively; (P = .01) [42]. In Kronowitz et al., the control group was more likely to have HER2/ neu-positive tumors (11.6% and 6.4%, respectively; p = 0.001) and more likely to receive chemotherapy (p < 0.001) [21]. Cases were more likely to receive hormonal therapy (p = 0.043). Sorrentino et al. chemotherapy was performed in 54.1% of AFG patients vs. 44.6% of control patients (p = 0.04) [24]. In Stumpf et al. mais quimioterapia na intervençaão 53% versus 37.1 (the author didi not describe the p value) [23]. Coliandro 84.1% na intervenção versus 66.7 no control [18].

Follow-up

Seven studies had a mean follow-up of 60 months or greater [15, 17, 22, 24,25,26, 42], five studies had a mean follow-up ranging from 40 and 60 months [5, 16, 21, 27, 28]; and three studies had a mean follow-up of less than 40 months [18, 19, 23]. Only Sorrentino [24] and Kronowitz [21] had a different mean time of follow-up between intervention and control groups with a longer time for the intervention group, as shown in Table 1.

The methodological quality of the studies and publication bias

The methodological quality of the studies was evaluated using the Downs and Black instrument for adapted quality assessment. Nine studies [5, 16, 17, 21, 22, 25,26,27, 42] were considered to be ‘good’, whereas five studies [15, 18, 19, 23, 24] were considered ‘fair’ and one study [28] was considered poor. Additional file 2 Table 1 lists the risks of bias in each of the selected studies. The analysis showed no publication bias, with P = .635 in Egger’s test [34].

Meta-analysis

Overall survival

The data were not reported in sufficient detail for most studies, precluding hazard ratio (HR) calculation for overall survival outcome. The HR could be extracted from four studies [5, 24, 25, 42], and an increase of overall survival for the AFG group was detected with high heterogeneity (HR 0.47, 95% CI 0.32 to 0.7, p = 0.0002, four studies, 2918 participants, I2 = 84%, moderate; Fig. 2, Table 2). The funnel plot (Fig. 3A) indicated a high risk of publication bias from one study – Krastet al. al [42] which had higher mortality in the control group. The analysis excluding this article difference found no difference between AFG group and control, and publication bias was not detected (HR 0.9, 95% CI 0.53 to 1.54, p = 0.71, three studies, 2331 participants, I2 = 58%, moderate; Fig. 2).

Fig. 2
figure 2

Forest plots demonstrating the results of the Overall Survival meta-analysis comparing AFG (lipofilling) versus control. A Shows the meta-analysis including the work of Krastev et al. [42]. B Shows the meta-analysis of the results after the exclusion of that manuscript due to the evidence of publication bias

Table 2 Summary of findings table
Fig. 3
figure 3

Funnel plots of the manuscripts included in the OS (A) and LR (B)

Disease-free survival

The HR could be extracted from seven studies [15, 16, 21,22,23,24,25] for DFS analysis, and no difference was found between the AFG group and control (HR 0.9, 95% CI 0.65 to 1.25, p = 0.53, seven studies, 2629 participants, I2 = 0%, moderate; Fig. 4, Table 2).

Fig. 4
figure 4

Forest plots demonstrating the results of the Disease-Free Survival meta-analysis comparing AFG (lipofilling) versus control

Local recurrence

The HR could be extracted from eleven studies [5, 15, 16, 21, 23,24,25,26,27,28, 42] for local recurrence analysis and no difference was found between AFG group and control (HR 0.87, 95% CI 0.64 to 1.16, p = 0.34, 11 studies, 6713 participants, I2 = 0%, moderate; Fig. 5A, Table 2). The funnel plot (Fig. 3B) indicated possible publication bias from one study, Peet al.t al [26], that included only DCIS tumors. The analysis excluding this article did not demonstrate a difference in results between groups. (HR 0.8, 95% CI 0.59 to 1.08, p = 0.14, 10 studies, 6536 participants, I2 = 0%, moderate, Fig. 5B, Table 2).

Fig. 5
figure 5

Forest plots demonstrating the results of the Local Recurrence meta-analysis comparing AFG (lipofilling) versus control. A Shows the meta-analysis including the work of Petit et al. from 2013 [26]. B Shows the meta-analysis of the results after the exclusion of that manuscript due to the evidence of publication bias

Discussion

Based on the results from this review, including 15 observational studies (prospective and retrospective cohort studies) evaluating the oncological safety of AFG in breast cancer patients, there were no differences regarding overall survival, disease-free survival, and local recurrence between patients who were subject to autologous fat grafting or not in breast reconstruction procedures.

For overall survival, this research provides a good indication of the likely effect; although only observational studies were includes, a considerable number of participants (2331 participants) contributed to the analysis, and all plausible confounders (biases) were well balanced between groups. The populations in the controll and intervention groups were similar. A follow-up period ranging from 42 to 86 months gives this results strength to conclude that autologous fat grafting is a safe procedure and should be indicated according to breast reconstruction surgeons’ evaluation without compromise oncological safety. The AFG technique was not described in only 2 of the 15 studies included in our analysis [21, 27]. In both studies, the authors found no difference in LRR or systemic recurrence rates between the AFG and control groups. These results are in accordance with the ones from the other studies included in this meta-analysis and do not interfere with the interpretation of our findings.

We could extract hazard ratios from seven studies comparing the autologous fat grafting or not in breast cancer treatment [15, 16, 21,22,23,24,25]. The confidence interval indicated no statistical difference in the disease-free survival in the intervention and in the control groups with 0% of heterogeneity, which agrees with published literature.

One of the goals of breast cancer surgical treatment is to reduce the risk of local recurrence. It is entirely established that when local recurrence usually occurs, it is followed by distant metastasis, reducing the overall survival of this group of patients [43,44,45]. This review showed that the time-to-local recurrence in breast cancer patients is not affected when the autologous fat grafting is part of the breast reconstruction procedure based on the results from those studies, including a significant number of participants [5, 15, 16, 21, 23,24,25,26,27,28, 42] with a low likelihood of residual confounding and a narrow confidence interval.

On a PubMed search, we identified 12 meta-analyses published evaluating AFG in breast cancer patients that underwent breast reconstruction [20, 46,47,48,49,50,51,52,53,54,55,56]. 4 of those evaluated complications associated with the procedure [48, 52, 53, 56], 2 evaluated aesthetical outcomes [34, 51], two evaluated different fat grafting techniques [54, 55] and only four evaluated local recurrence as an oncological outcome [46, 47, 49, 50]. None of these four that evaluated oncological outcomes had a formal evaluation of the quality of the studies, and none of them evaluated OS. These four studies presented the local recurrence as rates of the event instead of HR, which is the adequate metric for time-to-event outcomes. To our knowledge, this is the first meta-analysis to use this metric to assess the oncological safety of AFG.

This is the first systematic review with a meta-analysis of observational studies from this topic that evaluated the certainty of evidence through an appropriate tool (GRADE). A sensitive search strategy was carried out for all electronic databases, a manual search was made of the reference lists of relevant studies, and we screened clinical trial registries to avoid missing relevant studies. The methodological quality of the observational studies included was evaluated and considered in the presentation of our findings.

The strengths of the present study include our extensive search for pertinent AFG studies, the systematic application of eligibility criteria, the proper consideration of study quality, and our meticulous, analytical approach. However, the main limitations of this systematic review are the potential biases in the review process due to the methodological flaws of the included studies. The evidence in this review came from case-control studies; even though they were well planned, most of them were retrospective, which could overestimate the results. According to the GRADE evaluation, the true effect obtained from this meta-analysis is likely to be close to the estimate of the effect. However, there is a possibility that different results could be found if RCTs assessed this issue. Moreover, it was not possible to calculate the hazard ratio for the assessment of survival data for all studies because many of them did not report time-to-event analyses in sufficient detail. It is rightly emphasized that to carry out reviews, several subjective judgments are required, and a different review team might make slightly different decisions regarding the assessments of eligibility, risks of bias, and evaluated the certainty of evidence.

Even though randomized controlled clinical trials (RCTs) are considered the gold standard for evidence-based medicine due to their lower chances of selection bias and “confounding” effect, sometimes, they are not feasible, especially in the surgical field. This review showed an absence of randomized clinical trials to evaluate autologous fat grafting’s safety in the breast reconstruction field for breast cancer patients. However, the available observational studies did not whittle down our meta-analysis’s results; the studies included have great internal validity, with a high number of participants. In a scenario where an RCT is not feasible to perform, we would like to suggest important points for planning and conducting cohort studies in the surgical oncological field, trying to support this review update. The relevant issues are the CONSORT Statement to guide the manuscript writing, the objective definition of the assessed outcomes, methods for their measurement, and appropriate adjustment for follow-up. Based on this, it is crucial to analyze time-to-event outcomes using survival analysis methods, which were employed in our work, or person-years of follow-up as the denominator for the incidence rates for events of interest. However, prospective RCTs with adequate follow-up still have their established role in confirming the AFG oncological safety following breast cancer reconstruction definitively and further commend its safety concerning breast cancer detection and surveillance.

Conclusion

The evidence found in this review is highly suggestive that AFG in breast cancer patients is a safe procedure based on data from 2331 patients included in 3 studies that contributed for OS analysis and 2629 patients included in 6 studies that contributed for DFS analysis. Even though the number of studies is small, the number of included patients is over two thousand, contributing to the robustness of our findings. This evidence is based on observational studies; most of them well planned and well designed to deal with major confounders leading to reliable results. Randomized studies in this field are pretty difficult to be executed because of the low number of oncological events such as death and local recurrence in breast cancer patients; moreover, the economic issues with planning, organize and execute a randomized study with long follow-up time associated with the paucity of funding resources make the execution of an RCT to evaluate surgical procedures almost prohibitive. Additional research is not likely to have a meaningful impact on the estimated effect observed in this review. We conclude that AFG is oncologically safe, and the decision to perform this procedure should be made according to the patients’ and the physicians’ values and preferences.

With evolving breast reconstruction strategies, breast and plastic surgeons and patients face significant challenges when evaluating surgical options. Incorporating the oncological outcomes of AFG modalities and presenting the safety results will considerably facilitate decision-making for all involved parties. The present study will contribute substantially to advancing evidence-based rehabilitation care of patients with breast cancer and candidates for reconstruction.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Turner A, Abu-Ghname A, Davis MJ, Winocour SJ, Hanson SE, Chu CK. Fat grafting in breast reconstruction. Semin Plast Surg. 2020;34(1):17–23.

    PubMed  PubMed Central  Article  Google Scholar 

  2. Report on autologous fat transplantation. ASPRS Ad-Hoc Committee on New Procedures, September 30, 1987. Plast Surg Nurs. 1987 Winter;7(4):140–1.

    Article  Google Scholar 

  3. Coleman SR, Saboeiro AP. Fat grafting to the breast revisited: safety and efficacy. Plast Reconstr Surg. 2007;119(3):775–85 discussion 786–7.

    CAS  PubMed  Article  Google Scholar 

  4. Nava MB, Blondeel P, Botti G, Casabona F, Catanuto G, Clemens MW, et al. International expert panel consensus on fat grafting of the breast. Plast Reconstr Surg Glob Open. 2019;7(10):e2426.

    PubMed  PubMed Central  Article  Google Scholar 

  5. Seth AK, Hirsch EM, Kim JYS, Fine NA. Long-term outcomes following fat grafting in prosthetic breast reconstruction: a comparative analysis. Plast Reconstr Surg. 2012;130(5):984–90.

    CAS  PubMed  Article  Google Scholar 

  6. Sarfati I, Ihrai T, Duvernay A, Nos C, Clough K. Autologous fat grafting to the postmastectomy irradiated chest wall prior to breast implant reconstruction: a series of 68 patients. Ann Chir Plast Esthet. 2013;58(1):35–40.

    CAS  PubMed  Article  Google Scholar 

  7. Serra-Renom JM, Muñoz-Olmo J, Serra-Mestre JM. Breast reconstruction with fat grafting alone. Ann Plast Surg. 2011;66(6):598–601.

    CAS  PubMed  Article  Google Scholar 

  8. Xue EY, Narvaez L, Chu CK, Hanson SE. Fat processing techniques. Semin Plast Surg. 2020;34(1):11–6.

    PubMed  PubMed Central  Article  Google Scholar 

  9. Goto H, Shimono Y, Funakoshi Y, Imamura Y, Toyoda M, Kiyota N, et al. Adipose-derived stem cells enhance human breast cancer growth and cancer stem cell-like properties through adipsin. Oncogene. 2019;38(6):767–79.

    CAS  PubMed  Article  Google Scholar 

  10. S. G, J. G, J. GA. Promotion of primary murine breast cancer growth and metastasis by adipose-derived stem cells is reduced in the presence of autologous fat graft. Plast Reconstr Surg. 2019;143(1):137–47.

  11. W. T, E. VJ, G. MK, D. DA, S. DV, P RJ. An animal model of local breast cancer recurrence in the setting of autologous fat grafting for breast reconstruction. Stem Cells Transl Med. 2018;7:125–34.

    Article  CAS  Google Scholar 

  12. A. SMM, E. KL, S. DV. Oncologic safety of fat grafting for autologous breast reconstruction in an animal model of residual breast cancer. Plast Reconstr Surg. 2019;143:103–12.

    Article  CAS  Google Scholar 

  13. Shamoun F, Asaad M, Hanson SE. Oncologic safety of autologous fat grafting in breast reconstruction. Clin Breast Cancer. 2021; Available from: https://doi.org/10.1016/j.clbc.2021.01.020.

  14. Swartz MK. The PRISMA Statement: A Guideline for Systematic Reviews and Meta-Analyses [Internet]. J Pediatr Health Care. 2011;25:1–2 Available from: https://doi.org/10.1016/j.pedhc.2010.09.006.

    PubMed  Article  Google Scholar 

  15. Fertsch S, Hagouan M, Munder B, Schulz T, Abu-Ghazaleh A, Schaberick J, et al. Increased risk of recurrence associated with certain risk factors in breast cancer patients after DIEP-flap reconstruction and lipofilling-a matched cohort study with 200 patients. Gland Surg. 2017;6(4):315–23.

    PubMed  PubMed Central  Article  Google Scholar 

  16. Cohen O, Lam G, Karp N, Choi M. Determining the oncologic safety of autologous fat grafting as a reconstructive modality: an institutional review of breast Cancer recurrence rates and surgical outcomes. Plast Reconstr Surg. 2017;140(3):382e–92e.

    CAS  PubMed  Article  Google Scholar 

  17. Calabrese C, Kothari A, Badylak S, Di Taranto G, Marcasciano M, Sordi S, et al. Oncological safety of stromal vascular fraction enriched fat grafting in two-stage breast reconstruction after nipple sparing mastectomy: long-term results of a prospective study. Eur Rev Med Pharmacol Sci. 2018;22(15):4768–77.

    CAS  PubMed  Google Scholar 

  18. Cogliandro A, Barone M, Tenna S, Morelli Coppola M, Persichetti P. The role of Lipofilling after breast reconstruction: evaluation of outcomes and patient satisfaction with BREAST-Q. Aesthet Plast Surg. 2017;41(6):1325–31.

    Article  Google Scholar 

  19. Khan LR, Raine CR, Dixon JM. Immediate lipofilling in breast conserving surgery. Eur J Surg Oncol. 2017;43(8):1402–8.

    CAS  PubMed  Article  Google Scholar 

  20. Krastev TK, Alshaikh GAH, Hommes J, Piatkowski A, van der Hulst RRWJ. Efficacy of autologous fat transfer for the correction of contour deformities in the breast: a systematic review and meta-analysis. J Plast Reconstr Aesthet Surg. 2018;71(10):1392–409.

    PubMed  Article  Google Scholar 

  21. Kronowitz SJ, Mandujano CC, Liu J, Kuerer HM, Smith B, Garvey P, et al. Lipofilling of the breast does not increase the risk of recurrence of breast Cancer: a matched controlled study. Plast Reconstr Surg. 2016;137(2):385–93.

    CAS  PubMed  Article  Google Scholar 

  22. Masia J, Bordoni D, Pons G, Liuzza C, Castagnetti F, Falco G. Oncological safety of breast cancer patients undergoing free-flap reconstruction and lipofilling. Eur J Surg Oncol. 2015;41(5):612–6.

    CAS  PubMed  Article  Google Scholar 

  23. Stumpf CC, Biazus JV, Zucatto FSÂE, Cericatto R, Cavalheiro JAC, Damin APS, et al. Immediate reconstruction with autologous fat grafting: influence in breast cancerregional recurrence. Rev Col Bras Cir. 2017;44(2):179–86.

    PubMed  Article  Google Scholar 

  24. Sorrentino L, Regolo L, Scoccia E, Petrolo G, Bossi D, Albasini S, et al. Autologous fat transfer after breast cancer surgery: an exact-matching study on the long-term oncological safety. Eur J Surg Oncol. 2019;45(10):1827–34.

    PubMed  Article  Google Scholar 

  25. Silva-Vergara C, Fontdevila J, Descarrega J, Burdio F, Yoon T-S, Grande L. Oncological outcomes of lipofilling breast reconstruction: 195 consecutive cases and literature review. J Plast Reconstr Aesthet Surg. 2016;69(4):475–81.

    PubMed  Article  Google Scholar 

  26. Petit JY, Rietjens M, Botteri E, Rotmensz N, Bertolini F, Curigliano G, et al. Evaluation of fat grafting safety in patients with intraepithelial neoplasia: a matched-cohort study. Ann Oncol. 2013;24(6):1479–84.

    CAS  PubMed  Article  Google Scholar 

  27. Petit JY, Botteri E, Lohsiriwat V, Rietjens M, De Lorenzi F, Garusi C, et al. Locoregional recurrence risk after lipofilling in breast cancer patients. Ann Oncol. 2012;23(3):582–8.

    CAS  PubMed  Article  Google Scholar 

  28. Mazur S, Zołocińska A, Siennicka K, Janik-Kosacka K, Chrapusta A, Pojda Z. Safety of adipose-derived cell (stromal vascular fraction - SVF) augmentation for surgical breast reconstruction in cancer patients. Adv Clin Exp Med. 2018;27(8):1085–90.

    PubMed  Article  Google Scholar 

  29. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998;52(6):377–84.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  30. 2012 The Cochrane Collaboration R, et al. Review Manager (RevMan). 5.2. Copenhagen: The Cochrane Collaboration; 2012.

    Google Scholar 

  31. Parmar MK, Torri V, Stewart L. Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Stat Med. 1998;17(24):2815–34.

    CAS  PubMed  Article  Google Scholar 

  32. Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials. 2007;8:16.

    PubMed  PubMed Central  Article  Google Scholar 

  33. Williamson PR, Smith CT, Hutton JL, Marson AG. Aggregate data meta-analysis with time-to-event outcomes. Stat Med. 2002;21(22):3337–51.

    PubMed  Article  Google Scholar 

  34. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  35. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60.

    PubMed  PubMed Central  Article  Google Scholar 

  36. Guyatt GH, Oxman AD, Schünemann HJ, Tugwell P, Knottnerus A. GRADE guidelines: a new series of articles in the journal of clinical epidemiology. J Clin Epidemiol. 2011;64(4):380–2.

    PubMed  Article  Google Scholar 

  37. Balshem H, Helfand M, Schünemann HJ, Oxman AD, Kunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64(4):401–6.

    PubMed  Article  Google Scholar 

  38. Higgins JPT, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.

    PubMed  PubMed Central  Article  Google Scholar 

  39. McMaster University, 2020 (developed by evidence prime, Inc. ). GRADEpro GDT: GRADEpro guideline development tool [software] [internet]. Available from: Available from gradepro.org.

    Google Scholar 

  40. The GRADE Working Group. GRADE handbook for Grading quality of evidence and strength of recommendations. Schünemann H, Brożek J, Guyatt G, Oxman A, editor. guidelinedevelopment.org/handbook. Accessed in 2022.

  41. van Wilgen NJ, Gillespie MS, Richardson DM, Measey J. A taxonomically and geographically constrained information base limits non-native reptile and amphibian risk assessment: a systematic review. PeerJ. 2018;6:e5850.

    PubMed  PubMed Central  Article  Google Scholar 

  42. Krastev T, van Turnhout A, Vriens E, Smits L, van der Hulst R. Long-term follow-up of autologous fat transfer vs conventional breast reconstruction and association with Cancer relapse in patients with breast Cancer. JAMA Surg. 2019;154(1):56–63.

    PubMed  Article  Google Scholar 

  43. Mamounas EP, Tang G, Fisher B, Paik S, Shak S, Costantino JP, et al. 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. 2010;28(10):1677–83.

    PubMed  PubMed Central  Article  Google Scholar 

  44. Turashvili G, Chou JF, Brogi E, Morrow M, Dickler M, Norton L, et al. 21-gene recurrence score and locoregional recurrence in lymph node-negative, estrogen receptor-positive breast cancer. Breast Cancer Res Treat. 2017;166(1):69–76.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  45. Millar EKA, Graham PH, O’Toole SA, McNeil CM, Browne L, Morey AL, et al. Prediction of local recurrence, distant metastases, and death after breast-conserving therapy in early-stage invasive breast cancer using a five-biomarker panel. J Clin Oncol. 2009;27(28):4701–8.

    PubMed  Article  Google Scholar 

  46. Krastev TK, Schop SJ, Hommes J, Piatkowski AA, Heuts EM, van der Hulst RRWJ. Meta-analysis of the oncological safety of autologous fat transfer after breast cancer. Br J Surg. 2018;105(9):1082–97.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  47. Wazir U, El Hage CH, Headon H, Oteifa M, Kasem A, Mokbel K. Oncological safety of lipofilling in patients with breast cancer: a meta-analysis and update on clinical practice. Anticancer Res. 2016;36(9):4521–8.

    PubMed  Article  Google Scholar 

  48. Ørholt M, Larsen A, Hemmingsen MN, Mirian C, Zocchi ML, Vester-Glowinski PV, et al. Complications after breast augmentation with fat grafting: a systematic review. Plast Reconstr Surg. 2020;145(3):530e–7e.

    PubMed  Article  CAS  Google Scholar 

  49. Chen Y, Li G. Safety and effectiveness of autologous fat grafting after breast radiotherapy: a systematic review and meta-analysis. Plast Reconstr Surg. 2021;147(1):1–10.

    CAS  PubMed  Article  Google Scholar 

  50. Agha RA, Fowler AJ, Herlin C, Goodacre TEE, Orgill DP. Use of autologous fat grafting for breast reconstruction: a systematic review with meta-analysis of oncological outcomes. J Plast Reconstr Aesthet Surg. 2015;68(2):143–61.

    PubMed  Article  Google Scholar 

  51. Hoon SY, Cui CX, Cao DJ, Hong ZR. Better clinical outcome for autologous fat transplant combined with silicone gel prosthesis for breast augmentation: evidence from meta-analysis. Asian J Surg. 2020;43(1):166–80.

    PubMed  Article  Google Scholar 

  52. Hershenhouse KS, Bick K, Shauly O, Kondra K, Ye J, Gould DJ, et al. Systematic review and meta-analysis of immediate versus delayed autologous breast reconstruction in the setting of post-mastectomy adjuvant radiation therapy. J Plast Reconstr Aesthet Surg. 2021;74(5):931–44.

    PubMed  Article  Google Scholar 

  53. Schaverien MV, Macmillan RD, McCulley SJ. Is immediate autologous breast reconstruction with postoperative radiotherapy good practice?: a systematic review of the literature. J Plast Reconstr Aesthet Surg. 2013;66(12):1637–51.

    PubMed  Article  Google Scholar 

  54. Laloze J, Varin A, Gilhodes J, Bertheuil N, Grolleau JL, Brie J, et al. Cell-assisted lipotransfer: friend or foe in fat grafting? Systematic review and meta-analysis. J Tissue Eng Regen Med. 2018;12(2):e1237–50.

    CAS  PubMed  Article  Google Scholar 

  55. Tsoi B, Ziolkowski NI, Thoma A, Campbell K, O’Reilly D, Goeree R, editors. Safety of tissue expander/implant versus autologous abdominal tissue breastreconstruction in postmastectomy breast cancer patients: a systematic review and meta-analysis. Plast Reconstr Surg. 2014;133(2):234–49.

  56. Lee K-T, Mun G-H. Effects of obesity on postoperative complications after breast reconstruction using free muscle-sparing transverse rectus abdominis myocutaneous, deep inferior epigastric perforator, and superficial inferior epigastric artery flap: a systematic review and meta-analysis. Ann Plast Surg. 2016;76(5):576–84.

    CAS  PubMed  Article  Google Scholar 

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Acknowledgments

We acknowledge the innumerous authors that published the manuscripts used in the writing of this review and meta-analysis.

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The authors or the institution did not receive any funding related to this manuscript.

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RG performed the literature search, selected the studies to be included in the meta-analysis, performed the statistical analysis, wrote part of the manuscript, and reviewed the final version of the manuscript. BSM performed the statistical analysis, wrote part of the manuscript, and reviewed the final version of the manuscript. BS performed the literature search, selected the studies to be included in the meta-analysis, wrote part of the manuscript, and reviewed the final version of the manuscript. MDR wrote part of the manuscript and reviewed the final version of the manuscript. JMS reviewed the final version of the manuscript. AMM wrote part of the manuscript and reviewed the final version of the manuscript. ECB reviewed the final version of the manuscript. JRF reviewed the final version of the manuscript. The authors read and approved the final manuscript.

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Correspondence to Rodrigo Goncalves.

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Goncalves, R., Mota, B.S., Sobreira-Lima, B. et al. The oncological safety of autologous fat grafting: a systematic review and meta-analysis. BMC Cancer 22, 391 (2022). https://doi.org/10.1186/s12885-022-09485-5

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Keywords

  • Breast cancer
  • Breast reconstruction
  • Lipofilling
  • Autologous fat grafting