Skip to main content

SYSTEMATIC REVIEW article

Front. Oncol., 31 May 2022
Sec. Breast Cancer
This article is part of the Research Topic Diagnostic, Prognostic and Predictive Factors of Response in the Era of Precision Oncology in Breast Cancer View all 33 articles

Efficacy and Safety Profile of Histone Deacetylase Inhibitors for Metastatic Breast Cancer: A Meta-Analysis

Changjun Wang&#x;Changjun Wang1†Yan Lin&#x;Yan Lin1†Hanjiang ZhuHanjiang Zhu2Yidong ZhouYidong Zhou1Feng MaoFeng Mao1Xin HuangXin Huang1Qiang Sun*Qiang Sun1*Chenggang Li,*Chenggang Li3,4*
  • 1Department of Breast Surgery, Peking Union Medical College Hospital, Beijing, China
  • 2Department of Dermatology, University of California San Francisco, San Francisco, CA, United States
  • 3State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China
  • 4College of Pharmacy, Nankai University, Tianjin, China

Introduction: Acquired resistance to endocrine therapy (ET) remains a big challenge in the management of metastatic breast cancer (MBC). A novel therapeutic agent, histone deacetylase inhibitors (HDACi), targets the abnormal epigenetic modification and may overcome acquired resistance. However, HDACi efficacy and the safety profile for hormone receptor (HoR)-positive/human epidermal growth factor receptor 2 (HER2)-negative MBC remain controversial.

Methods: Two independent reviewers searched PubMed, Embase, and Cochrane Central Register of Controlled Trials databases for relevant studies on HDACi and HoR+/HER2- MBC. Demographic and clinicopathological parameters were extracted and presented as means and proportions, and between-group differences were assessed by Pearson chi-square test. Fixed- or random-effects models were used for meta-analysis based on inter-study heterogeneity. Pooled results were presented as L’Abbé plot and forest plot. Funnel plot and Egger’s test were employed for evaluation of publication bias.

Results: Four studies with 1,457 patients were included for meta-analysis. The overall objective response rates (ORRs) of HDACi + ET (HE) and placebo + ET (PE) groups were 11.52% and 6.67%, respectively. The HE regimen significantly increased ORR (odds ratio [OR] 1.633, 95% confidence interval [CI] = 1.103–2.418, p < 0.05) and showed higher clinical benefit rate (CBR) than the PE regimen (HE vs. PE groups: 38.82% vs. 30.58%, OR 1.378, 95% CI = 1.020–1.861, p < 0.05). Additionally, the HE regimen was associated with prolonged progression-free survival (PFS) (hazard ratio [HR] 0.761, 95% CI = 0.650–0.872, p < 0.001) and overall survival (OS) (HR 0.849, 95% CI = 0.702–0.996, p < 0.001). Regarding safety profile, the HE regimen had increasing toxicity in terms of higher overall adverse event (AE), Grade ≥3 AE, dose modification, and discontinuation rate.

Conclusions: This meta-analysis validated that the HE regimen had superior efficacy over control in terms of ORR, CBR, PFS, and OS, but was accompanied with increasing toxicity. HDACi plus ET could serve as an important option in managing HoR+/HER2- MBC. Future studies may focus on the clinical difference among different HDACi and AE managements to enhance tolerability.

Introduction

Endocrine therapy (ET) is the keystone in the management of hormone receptor (HoR)-positive/human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer (MBC). However, acquired resistance to ET remains a significant challenge; a large proportion of patients inevitably develop recurrence and lead to treatment escalation. Recently, the emergence of novel agents targeting resistance mechanism sheds light on HoR+/HER2- MBC management. The combination strategies of ET and other target therapies, such as everolimus + exemestane, aromatase inhibitor (AI)/fulvestrant + cyclin-dependent kinase 4/6 inhibitor (CDKi), and PI3K inhibitor + ET, achieved great success for HoR+/HER2- MBC treatment (14), even though drug resistance ultimately develops and urges further broadening of treatment portfolio.

The underlying mechanisms of acquired resistance to ET include loss of function and mutated estrogen receptor, upregulation of other growth factor-related signal pathways, cyclin D1 overexpression, and DNA methylation (58). Epigenetic dysregulation in cancer includes DNA methylation and histone modifications, which both lead to chromatin remodeling (9). Histone deacetylases, histone methyl transferases, and DNA methyl transferases are the main enzymes that regulate the chromatin conformation (10). Based on the mechanism that epigenetic modification could confer ET resistance, histone deacetylase inhibitors (HDACi) including valproic acid, entinostat, vorinostat, and tucidinostat were invented. The key processes regulated by HDACi include cell-cycle arrest, chemo-sensitization, apoptosis induction, and upregulation of tumor suppressors (11, 12). HDACi exhibited an antineoplastic effect via multiple mechanisms, such as restoring p53 transcription (13) and inducing apoptosis (14). Moreover, it also had potent anti-angiogenic and anti-metastatic activities (15, 16), as well as involvement in the reactive oxygen species metabolism, and accelerated the eradication of cancer cells (17).

However, the efficacy of HDACi remains controversial. A Phase II study by Munster et al. suggested that the combination of vorinostat and tamoxifen was well tolerated and exhibited encouraging activity in reversing hormone resistance with 19% objective response rate (ORR) and 40% clinical benefit rate (CBR) (18). Similarly, a study by Yardley et al. and a study by Jiang et al. proved that two HDACi, entinostat and tucidinostat, could both prolong progression-free survival (PFS) with acceptable tolerability (19, 20). In contrast, a study by Connolly et al. showed no improvement of survival in AI-resistant advanced HoR+/HER2- breast cancer with the combination of entinostat and exemestane (21).

Thus, the present meta-analysis included four studies with 1,457 patients to evaluate the efficacy and safety profile of HDACi on HoR+/HER2- MBC.

Methods

Literature Search

Literature search was performed in PubMed (from 1946 to February 2022), Embase (from 1947 to February 2022, hosted by Ovid), and Cochrane Central Register of Controlled Trials (CENTRAL, from 2000 to February 2022) databases. The following medical subject headings and keywords were used for literature search: “Histone deacetylases inhibitor”, “HDAC inhibitor”, “Vorinostat”, “Tucidinostat”, “Chidamide”, “Entinostat”, “Metastatic breast cancer”, and “Advanced breast cancer”. No limitation was set regarding languages or regions of publications. All the references were retrieved to ensure the sensitivity of the literature search and manually screened to select relevant studies.

Selection Criteria and Quality Assessment

To be eligible, studies should meet the following inclusion criteria: studies on metastatic HoR+/HER2- breast cancer; studies on HDACi combined with ET; comparison between HDACi + ET (HE) and placebo + ET (PE); and available data for efficacy and adverse effect (AE) analyses. Exclusion criteria were set as follows: studies in neoadjuvant/adjuvant setting; single-arm studies; studies on the other breast cancer subtypes, such as triple-negative breast cancer or HER2-rich subtype; studies on HDACi combined with treatments other than ET; and review, meta-analysis, editorial, letter, case reports, guidelines, and study protocols. Two independent reviewers (CW and YL) assessed the eligibility of studies according to the above inclusion/exclusion criteria. The initial evaluation was through manual screening of titles and abstracts of all the references. Then, for potentially relevant studies, the full text of publications were retrieved and carefully reviewed by the same two reviewers. Disagreement was resolved by consensus (CW, YL, CL, and QS).

Quality assessment of the included studies was performed according to the STROBE checklist (22, 23). An ordinal scale from 1 to 5 (1 = worst, 5 = best) was used to score each item in the STROBE Checklist by two independent reviewers (CW and YL). The final quality scores were the mean of scores generated by each reviewer with higher values indicating a better methodological quality (24).

Data Extraction

A predesigned data extraction form was used by two reviewers (CW and YL) for data collection. The characteristics of included studies (authors, publication year, country, clinical trial phases, study population, menopausal status, prior ET/chemotherapy, HDACi, number of patients included, and median follow-up), clinicopathological parameters of study population, efficacy data (ORR, CBR, PFS, and overall survival [OS]), and AE data (all AE, Grade ≥3 AE, dose modification [DM] due to AE, and discontinuation due to AE) were extracted for meta-analyses. If the data of interest were not reported in the manuscripts or abstracts, the corresponding author and first author were contacted for detailed information. Survival data (hazard ratio [HR] and 95% confidence interval [CI]) were either extracted directly from tables/figures/text of included studies or estimated from Kaplan–Meier curves using the method provided by Tierney et al. (25).

Statistical Analysis

The demographic and clinicopathological parameters were presented as means and proportions. Between-group differences were assessed by Pearson chi-square test. Heterogeneity was presented by Cochrane’s Q and I2 statistics. For I2 statistics, I2 < 25% was considered as low heterogeneity and I2 > 75% was considered as high heterogeneity. Data were analyzed with a fixed-effects model for Cochrane’s Q test with p > 0.05; otherwise, the random-effects model was applied. For binary outcomes, the L’Abbé plot was used to visually display meta-analysis results of comparison between treatment and control intervention. In the L’Abbé plot, the summary outcome measures were plotted as circles with their sizes proportional to study precisions, and it also contained a reference (diagonal) line indicating identical outcomes in the two groups. Funnel plot symmetry and Egger’s test were used to assess publication bias. For endpoints with significant publication bias, “trim-and-fill” analysis was adopted to estimate the number of studies potentially missing from a meta-analysis due to publication bias and its impact on overall effect-size.

All the statistical tests were two-sided, and statistical significance was defined as p < 0.05. Statistical analyses were conducted by STATA version 16.0 (Stata Corporation, College Station, TX, USA).

Results

Five hundred and five relevant citations were extracted from PubMed, Embase, and CENTRAL Database, and 496 citations were excluded after initial screening according to inclusion/exclusion criteria. Nine publications were considered to be potentially relevant to the study objective and full-text articles were retrieved for further evaluation. Finally, four studies with a total of 1,457 patients were included for meta-analyses (1921, 26). The result of literature search and screening was presented as a flowchart in Figure 1. Supplementary Table 1 showed quality scores of included studies.

FIGURE 1
www.frontiersin.org

Figure 1 Flowchart of articles reviewed and included in the meta-analysis.

Characteristics of Included Studies and Study Population

The main characteristics of included studies are summarized in Table 1. The four studies were three Phase III clinical trials and one Phase II trial (19). Two trials recruited exclusively post-menopausal women (19, 20), while the others enrolled both pre- and post-menopausal patients (21, 26). Only the study by Jiang et al. used tucidinostat as HDACi while all the other trials focused on entinostat (20). Patient randomization had a 2:1 ratio in the studies by Jiang et al. and Xu et al. (20, 26), while for the other trials, it was 1:1. The demographic and clinicopathological characteristics of the study population are listed in Table 2. All the parameters including ECOG score, visceral diseases, sensitivity to prior ET, prior CDKi, prior chemotherapy, and fulvestrant were comparable between HE and PE groups.

TABLE 1
www.frontiersin.org

Table 1 Characteristics of studies included in the meta-analysis.

TABLE 2
www.frontiersin.org

Table 2 Demographic and clinicopathological characteristics of the study population.

Pooled Results for Efficacy Endpoints of HDACi + ET in HoR+/HER2- MBC

All the studies reported ORR data and no significant heterogeneity existed among included studies (I2 = 3.93%, Cochrane’s Q p = 0.37). The overall ORR was 11.52% and 6.67% for HE and PE groups, respectively, and the HE regimen significantly increased ORR (odds ratio [OR] 1.633, 95% CI = 1.103–2.418, p < 0.05) (Table 3 and Figure 2A). The L’Abbé plot is presented in Figure 4A.

TABLE 3
www.frontiersin.org

Table 3 Survival and adverse effect data of included studies.

FIGURE 2
www.frontiersin.org

Figure 2 Pooled results for efficacy endpoints of included studies. (A) ORR; (B) CBR; (C) PFS; (D) OS.

Three studies had CBR data and no significant heterogeneity existed among included studies (I2 = −84.98%, Cochrane’s Q p = 0.58). The overall CBR was 38.82% and 30.58% for HE and PE groups, respectively, and the HE regimen significantly increased CBR (OR 1.378, 95% CI = 1.020–1.861, p < 0.05) (Table 3 and Figure 2B). The L’Abbé plot is presented in Figure 4B.

All the studies reported PFS data and no significant heterogeneity existed among included studies (I2 = 0.00%, Cochrane’s Q p = 0.76). The HE regimen was associated with prolonged PFS (hazard ratio [HR] 0.761, 95% CI = 0.650–0.872, p < 0.001) (Table 3 and Figure 2C).

Three studies had OS data and no significant heterogeneity existed among included studies (I2 = 60.97%, Cochrane’s Q p = 0.08). The HE regimen had a marginal effect that could lower overall mortality (HR 0.849, 95% CI = 0.702–0.996, p < 0.001) (Table 3 and Figure 2D).

Pooled Results for Safety Endpoints of HDACi + ET in HoR+/HER2- MBC

Three studies reported AE rate and no significant heterogeneity existed among included studies (I2 = 25.04%, Cochrane’s Q p = 0.26). The overall AE rates were 98.57% and 87.83% for HE and PE groups, respectively, and the HE regimen had higher AE incidence (OR 9.093, 95% CI = 4.026–20.536, p < 0.001) (Table 3 and Figure 3A). The L’Abbé plot is presented in Figure 4C.

FIGURE 3
www.frontiersin.org

Figure 3 Pooled results for AE endpoints of included studies. (A) All AE; (B) Grade ≥3 AE; (C) dose modification due to AE; (D) treatment discontinuation due to AE.

FIGURE 4
www.frontiersin.org

Figure 4 L’Abbé plots for efficacy and AE endpoints of included studies. (A) ORR; (B) CBR; (C) all AE; (D) Grade ≥3 AE; (E) dose modification due to AE; (F) treatment discontinuation due to AE.

Three studies had Grade ≥3 AE rate and significant heterogeneity existed among included studies (I2 = 83.82%, Cochrane’s Q p < 0.001). The overall Grade ≥ 3 AE rates were 61.88% and 17.83% for HE and PE groups, respectively, and the HE regimen had significantly higher Grade ≥ 3 AE (OR 6.857, 95% CI = 3.523–13.344, p < 0.001) (Table 3 and Figure 3B). The L’Abbé plot is presented in Figure 4D.

Three studies reported DM rate and no significant heterogeneity existed among included studies (I2 = 2.99%, Cochrane’s Q p = 0.36). The overall DM rate was 31.72% and 3.16% for HE and PE groups, respectively, and the HE regimen was associated with a higher DM rate (OR 15.205, 95% CI = 8.748–26.428, p < 0.001) (Table 3 and Figure 3C). The L’Abbé plot is presented in Figure 4E.

Three studies reported discontinuation rate and no significant heterogeneity existed among included studies (I2 = 50.92%, Cochrane’s Q p = 0.13). The overall discontinuation rates were 12.29% and 5.22% for HE and PE groups, respectively, and the HE regimen was associated with higher discontinuation rate (OR 3.021, 95% CI = 1.869–4.881, p < 0.001) (Table 3 and Figure 3D). The L’Abbé plot is presented in Figure 4F.

Subgroup Analysis for Entinostat

Entinostat was one of the most widely investigated agents of HDACi, and three out of four included studies focused on entinostat. Hence, we carried out subgroup analysis for entinostat.

The pooled efficacy data revealed that entinostat had no significant impact on ORR (I2 = −134.13%, Cochrane’s Q p = 0.65; OR 1.339, 95% CI = 0.846–2.119, p = 0.21) and CBR (I2 = −2843.53%, Cochrane’s Q p = 0.85; OR 1.201, 95% CI = 0.806–1.789, p = 0.37) (Figures 5A, B). However, entinostat could significantly increase PFS (I2 = 0.00%, Cochrane’s Q p = 0.65; HR 0.780, 95% CI = 0.649–0.910, p < 0.001) and OS (I2 = 60.97%, Cochrane’s Q p = 0.08; HR 0.849, 95% CI = 0.702–0.996, p < 0.001) (Figures 5C, D).

FIGURE 5
www.frontiersin.org

Figure 5 Sensitivity analysis for efficacy endpoints of studies on entinostat. (A) ORR; (B) CBR; (C) PFS; (D) OS.

The pooled AE data revealed that entinostat had greater toxicity than placebo. It had increasing AE rate (I2 = 50.54%, Cochrane’s Q p = 0.16; OR 7.736, 95% CI = 2.790–19.498, p < 0.001), Grade ≥ 3 AE rate (I2 = 61.25%, Cochrane’s Q p = 0.09; OR 5.331, 95% CI = 3.252–8.739, p < 0.001), DM rate (I2 = −53.72%, Cochrane’s Q p = 0.42; OR 12.325, 95% CI = 6.777–22.415, p < 0.001), and discontinuation rate (I2 = 24.52%, Cochrane’s Q p = 0.25; HR 2.465, 95% CI = 1.499–4.052, p < 0.001) compared to control (Figure 6).

FIGURE 6
www.frontiersin.org

Figure 6 Sensitivity analysis for AE endpoints of studies on entinostat. (A) All AE; (B) Grade ≥3 AE; (C) dose modification due to AE; (D) treatment discontinuation due to AE.

Publication Bias

Potential publication bias was evaluated by Funnel plots with symmetrical appearance (Supplementary Figure 1). Egger’s test suggested no significant publication bias for all the endpoints (ORR p = 0.94, CBR p = 0.57, PFS p = 0.90, AE rate p = 0.10, Grade ≥3 AE rate p = 0.63, DM rate p = 0.69, and discontinuation p = 0.06) except for OS p < 0.05. “Trim-and-fill” analysis for OS showed that observed + imputed studies yielded the same result as observed-only studies with HR 0.849, 95% CI = 0.702–0.996, p < 0.001.

Discussion

ET remains the keystone systemic therapy for advanced HoR+/HER2- breast cancer. Although the emergence of CDKi, mTOR inhibitor, and PI3KCA inhibitor largely prolonged the PFS and OS for HoR+/HER2- MBC patients, acquired resistance remains a significant challenge. HDACi, as a novel therapy that modifies the acetylation on histone and non-histone proteins, has proved its efficacy in hematological malignancies (27), but remains controversial in breast cancer. The present meta-analysis included four randomized controlled studies with 1,457 patients and demonstrated that HDACi had promising efficacy in terms of increasing ORR/CBR and prolonged PFS/OS, but was associated with higher toxicity. Subgroup analysis revealed similar results for entinostat. Entinostat was associated with superior survival (PFS and OS), but higher overall AE rate and Grade ≥ 3 AE rate, and it also caused increasing risk for dose modification and treatment discontinuation.

Our finding was consistent with several previous randomized control trials. A Phase II trial (ENCORE 301) by Yardley et al. proved that the combination of entinostat and ET could improve PFS (4.3 m vs. 2.3 m) and OS (28.1 m vs. 19.8 m) with fatigue and neutropenia as the most frequent Grade 3/4 AE. This combination was associated with increasing risk for treatment discontinuation (11% vs. 2%) (19). A recent ACE trial with another HDACi, tucidinostat, also demonstrated its efficacy in terms of prolonged survival with a similar safety profile (20). Conversely, the E2112 trial showed that the combination of entinostat and exemestane had no significant impact on ORR and survival (21). Given the concern that results of the positive Phase II trial may not necessarily be replicated in the Phase III trial, the Phase III E2112 trial mirrored the design of ENCORE 301 except for enrollment of premenopausal patients and prior fulvestrant/CDKi. The difference in conclusions of ENCORE 301 and E2112 could be attributed to the fact that approximately 30% of the participants received fulvestrant and 30% had prior CDKi. The much heavily pre-treated study population may attenuate the efficacy of HE in E2112. Another possible reason would be the c-Myc gene signatures of study population. c-Myc was a key impact factor for HDACi sensitivity in various cancers (28, 29). For breast cancer, a study by Tanioka et al. proved that tumor progression was associated with upregulated c-Myc gene signatures and c-Myc overexpression conferred resistance to entinostat in breast cancer cell lines. Jun deletion, which accounted for 17%–23% of luminal breast cancer, usually incurred significantly higher c-Myc signature scores with poorer survival. Hence, future trials with c-Myc and Jun signature as stratification factors would be helpful to refine the appropriate candidate for HDACi.

Generally, combination therapy was associated with increasing toxicity, such as everolimus plus exemestane, which is demonstrated in the BOLERO-2 trial (2). For the safety profile of the HE regimen, the pooled results indicated increasing AE, Grade ≥3 AE, DM, and discontinuation rates compared to control. These results were consistent across all the included individual studies and sensitive analyses with DM rate up to 30%, and more than 10% patients withdrew. Thus, careful patient monitoring and improved physician awareness of HE with relevant AE are warranted. The AE profile was concordant with previously reported data and HDACi class effects (30, 31). It mainly consisted of hematologic toxicities, gastrointestinal disturbances, and fatigue. Electrolyte disturbances were also noted in the HDACi group, which may be attributed to HDACi gastrointestinal toxicity (20, 32).

Heterogeneity investigation focused on the difference between entinostat and tucidinostat. According to the Cochrane Q test, all the efficacy and AE endpoints had no significant heterogeneity among included studies (Figures 2 and 3). It further strengthened the primary conclusion that HDACi could improve survival in HoR+/HER2- MBC, but was accompanied with enhanced toxicity. Moreover, according to the characteristics of study design, three out of four included studies investigated entinostat, with one study investigating tucidinostat. Tucidinostat and entinostat both belonged to the subtype-selective class of HDACi that had improved risk–benefit profiles compared to non-selective inhibitors (33). Subtype-selective HDACi had an advantage over non-selective HDACi in terms of enhanced immune cell-mediated tumor cell cytotoxicity (34). The difference between tucidinostat and entinostat was an important confounding factor for pooled results. Hence, sensitivity analyses were conducted with studies on entinostat only. Compared to the overall pooled results, the subgroup with entinostat drew similar conclusions in that entinostat benefited PFS and OS with increasing AE, Grade ≥3 AE, DM, and treatment discontinuation rate, but it did not significantly improve ORR and CBR. It implied that tucidinostat may have a stronger effect on reducing tumor burden than entinostat. However, this conclusion should be used with caution and needs further validation due to several other confounding factors in the ACE trial. The ACE trial enrolled generally younger patients (median age: 8 years difference) with less prior ET (34% less) compared with the E2112 trial (21). This less pre-treated population could partially explain the enhanced efficacy of tucidinostat in the ACE trial. Additionally, the ACE trial only recruited Chinese patients, and the ethnic difference between Asian and Caucasian women may also introduce bias to the pooled result. Finally, the study population received no prior CDKi due to drug availability, indicating that it may confer sensitivity to HDACi.

The present meta-analysis had several strengths. First, it was the first meta-analysis with a large study population (four trials with 1,457 patients included) for the HE regimen. It analyzed several efficacy and safety endpoints (ORR, CBR, PFS, OS, AE rate, Grade ≥3 AE, DM rate, and treatment discontinuation) to give a comprehensive overview of the efficacy and toxicity of the HE regimen. Moreover, subgroup analysis provided detailed information on entinostat, which may facilitate clinical decision-making. The present meta-analysis demonstrated that HDACi with ET showed promising efficacy with increasing toxicity, and it may serve as an optional regimen for HoR+/HER2- MBC. The HE regimen had several advantages. First, OS remained the most important endpoint for the assessment of novel agents in advanced cancers, and the OS improvement by HE was a strong indicator for clinical benefit. Secondly, HE may be effective for progressive disease after CDKi, although only limited patients with prior CDKi were included in the study population. Third, HDACi could potentially increase patient compliance, given that HDACi dosing was usually once/twice per week rather than once/twice per day in CDKi. Finally, differences in toxicity profiles between HDACi and other agents may also be crucial for clinical decision-making to deliver personalized treatment. Given that merely 25% of the study population received prior CDKi and fulvestrant, future studies should focus on HE efficacy for CDKi-resistant MBC. Additionally, the novel combination of HDACi and a selective estrogen receptor degrader (such as fulvestrant) still needs further evaluation by a large-scale clinical trial. It was also of great importance to investigate the ethnic difference between Asian and Caucasian patients, and to find effective biomarkers to predict HDACi sensitivity.

Our study had several limitations. First, it was a meta-analysis based on aggregate data rather than individual patient data. The pooled results were subject to publication bias and summary effects should be interpreted carefully with the context of heterogeneity. Second, only one study on tucidinostat was available; there were no subgroup analyses on tucidinostat and other HDACi. Third, given that limited studies were included, meta-regression and subgroup analysis on several critical clinicopathological variables, such as prior fulvestrant and CDKi usage and previous lines of chemotherapy, could not be conducted.

The present meta-analysis demonstrated that the HE regimen improved patient survival in HoR+/HER2- MBC with increasing but manageable toxicity. A large-scale randomized controlled trial would be helpful to further validate the efficacy and safety profile of HDACi and investigate the clinical difference among different HDACi.

Conclusion

This meta-analysis validated that the HE regimen had superior efficacy over control in terms of improved ORR, CBR, PFS, and OS, but was accompanied with increasing AE. HDACi + ET could serve as an important option for the management of HoR+/HER2- MBC. Future studies may focus on the clinical difference among different HDACi and AE management to enhance tolerability.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.

Author Contributions

CW, YZ, QS, and CL designed the project. CW, YL, QS, and CL performed the literature search and data acquisition. CW and YL performed data extraction. FM, HZ, and XH performed the statistical analyses for heterogeneity investigation. CW, HZ, and YZ supported the writing of the paper. All authors contributed to the article and approved the submitted version.

Funding

This study was funded by Key Projects in the National Science and Technology Pillar Program during the Twelfth Five-year Plan Period (No. 2014BAI08B00), Beijing Municipal Science and Technology Project (No. D161100000816005), State Key Laboratory of Medicinal Chemical Biology (NanKai University) (No. 2019014), and LAM China Non-profit Organization Special Fund for LAM of Zhejiang Women and Children's Foundation (LAM001-202205). The funding agencies had no role in the design or conduct of the study.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2022.901152/full#supplementary-material

Supplementary Figure 1 | Funnel Plots for publication bias evaluation: (A) ORR; (B) CBR; (C) PFS; (D) OS; (E) All AE; (F) Grade ≥3 AE; (G) Dose modification due to AE; (H) Treatment discontinuation due to AE.

References

1. André F, Ciruelos E, Rubovszky G, Campone M, Loibl S, Rugo HS, et al. Alpelisib for PIK3CA -Mutated, Hormone Receptor–Positive Advanced Breast Cancer. N Engl J Med (2019) 380:1929–40. doi: 10.1056/NEJMoa1813904

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Baselga J, Campone M, Piccart M, Burris HA, Rugo HS, Sahmoud T, et al. Everolimus in Postmenopausal Hormone-Receptor–Positive Advanced Breast Cancer. N Engl J Med (2012) 366:520–9. doi: 10.1056/NEJMoa1109653

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Turner NC, Slamon DJ, Ro J, Bondarenko I, Im S-A, Masuda N, et al. Overall Survival With Palbociclib and Fulvestrant in Advanced Breast Cancer. N Engl J Med (2018) 379:1926–36. doi: 10.1056/NEJMoa1810527

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Sledge GW, Toi M, Neven P, Sohn J, Inoue K, Pivot X, et al. The Effect of Abemaciclib Plus Fulvestrant on Overall Survival in Hormone Receptor–Positive, ERBB2-Negative Breast Cancer That Progressed on Endocrine Therapy—MONARCH 2: A Randomized Clinical Trial. JAMA Oncol (2020) 6:116. doi: 10.1001/jamaoncol.2019.4782

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Casimiro MC, Velasco-Velázquez M, Aguirre-Alvarado C, Pestell RG. Overview of Cyclins D1 Function in Cancer and the CDK Inhibitor Landscape: Past and Present. Expert Opin Investig Drugs (2014) 23:295–304. doi: 10.1517/13543784.2014.867017

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Dimitrakopoulos F-I, Kottorou A, Tzezou A. Endocrine Resistance and Epigenetic Reprogramming in Estrogen Receptor Positive Breast Cancer. Cancer Lett (2021) 517:55–65. doi: 10.1016/j.canlet.2021.05.030

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Jeselsohn R, Buchwalter G, De Angelis C, Brown M, Schiff R. ESR1 Mutations—a Mechanism for Acquired Endocrine Resistance in Breast Cancer. Nat Rev Clin Oncol (2015) 12:573–83. doi: 10.1038/nrclinonc.2015.117

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Picon-Ruiz M, Morata-Tarifa C, Valle-Goffin JJ, Friedman ER, Slingerland JM. Obesity and Adverse Breast Cancer Risk and Outcome: Mechanistic Insights and Strategies for Intervention. CA Cancer J Clin (2017) 67:378–97. doi: 10.3322/caac.21405

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Bhattacharjee D, Shenoy S, Bairy KL. DNA Methylation and Chromatin Remodeling: The Blueprint of Cancer Epigenetics. Scientifica (2016) 2016:6072357. doi: 10.1155/2016/6072357

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Ramaiah MJ, Tangutur AD, Manyam RR. Epigenetic Modulation and Understanding of HDAC Inhibitors in Cancer Therapy. Life Sci (2021) 277:119504. doi: 10.1016/j.lfs.2021.119504

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Liang XH, Jackson S, Seaman M, Brown K, Kempkes B, Hibshoosh H, et al. Induction of Autophagy and Inhibition of Tumorigenesis by Beclin 1. Nature (1999) 402:672–6. doi: 10.1038/45257

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Newbold A, Falkenberg KJ, Prince HM, Johnstone RW. How do Tumor Cells Respond to HDAC Inhibition? FEBS J (2016) 283:4032–46. doi: 10.1111/febs.13746

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Condorelli F, Gnemmi I, Vallario A, Genazzani AA, Canonico PL. Inhibitors of Histone Deacetylase (HDAC) Restore the P53 Pathway in Neuroblastoma Cells. Br J Pharmacol (2008) 153:657–68. doi: 10.1038/sj.bjp.0707608

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Borbone E, Berlingieri MT, De Bellis F, Nebbioso A, Chiappetta G, Mai A, et al. Histone Deacetylase Inhibitors Induce Thyroid Cancer-Specific Apoptosis Through Proteasome-Dependent Inhibition of TRAIL Degradation. Oncogene (2010) 29:105–16. doi: 10.1038/onc.2009.306

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Ellis L, Hammers H, Pili R. Targeting Tumor Angiogenesis With Histone Deacetylase Inhibitors. Cancer Lett (2009) 280:145–53. doi: 10.1016/j.canlet.2008.11.012

PubMed Abstract | CrossRef Full Text | Google Scholar

16. El-Naggar AM, Somasekharan SP, Wang Y, Cheng H, Negri GL, Pan M, et al. Class I HDAC Inhibitors Enhance YB-1 Acetylation and Oxidative Stress to Block Sarcoma Metastasis. EMBO Rep (2019) 20:e48375. doi: 10.15252/embr.201948375

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Garmpi A, Garmpis N, Damaskos C, Valsami S, Spartalis E, Lavaris A, et al. Histone Deacetylase Inhibitors as a New Anticancer Option: How Far can We Go With Expectations? Delivery Systems. J BUON Off J Balk Union Oncol (2018) 23:846–61.

Google Scholar

18. Munster PN, Thurn KT, Thomas S, Raha P, Lacevic M, Miller A, et al. A Phase II Study of the Histone Deacetylase Inhibitor Vorinostat Combined With Tamoxifen for the Treatment of Patients With Hormone Therapy-Resistant Breast Cancer. Br J Cancer (2011) 104:1828–35. doi: 10.1038/bjc.2011.156

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Yardley DA, Ismail-Khan RR, Melichar B, Lichinitser M, Munster PN, Klein PM, et al. Randomized Phase II, Double-Blind, Placebo-Controlled Study of Exemestane With or Without Entinostat in Postmenopausal Women With Locally Recurrent or Metastatic Estrogen Receptor-Positive Breast Cancer Progressing on Treatment With a Nonsteroidal Aromatase Inhibitor. J Clin Oncol (2013) 31:2128–35. doi: 10.1200/JCO.2012.43.7251

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Jiang Z, Li W, Hu X, Zhang Q, Sun T, Cui S, et al. Tucidinostat Plus Exemestane for Postmenopausal Patients With Advanced, Hormone Receptor-Positive Breast Cancer (ACE): A Randomised, Double-Blind, Placebo-Controlled, Phase 3 Trial. Lancet Oncol (2019) 20:806–15. doi: 10.1016/S1470-2045(19)30164-0

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Connolly RM, Zhao F, Miller KD, Lee M-J, Piekarz RL, Smith KL, et al. E2112: Randomized Phase III Trial of Endocrine Therapy Plus Entinostat or Placebo in Hormone Receptor–Positive Advanced Breast Cancer. A Trial of the ECOG-ACRIN Cancer Research Group. J Clin Oncol (2021) 39:3171–81. doi: 10.1200/JCO.21.00944

PubMed Abstract | CrossRef Full Text | Google Scholar

22. STROBE Statement. Available at: https://www.strobe-statement.org/index.php?id=available-checklists (Accessed August 8, 2020).

Google Scholar

23. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies. Lancet Lond Engl (2007) 370:1453–7. doi: 10.1016/S0140-6736(07)61602-X

CrossRef Full Text | Google Scholar

24. Wang C-J, Xu Y, Lin Y, Zhu H-J, Zhou Y-D, Mao F, et al. Platinum-Based Neoadjuvant Chemotherapy for Breast Cancer With BRCA Mutations: A Meta-Analysis. Front Oncol (2020) 10:592998. doi: 10.3389/fonc.2020.592998

PubMed Abstract | CrossRef Full Text | Google Scholar

25. 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. doi: 10.1186/1745-6215-8-16

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Xu B, Zhang Q, Hu X, Li Q, Sun T, Li W, et al. Abstract GS1-06: A Randomized Control Phase III Trial of Entinostat, a Once Weekly, Class I Selective Histone Deacetylase Inhibitor, in Combination With Exemestane in Patients With Hormone Receptor Positive Advanced Breast Cancer. Cancer Res (2022) 82:GS1–06. doi: 10.1158/1538-7445.SABCS21-GS1-06

CrossRef Full Text | Google Scholar

27. Jones PA, Issa J-PJ, Baylin S. Targeting the Cancer Epigenome for Therapy. Nat Rev Genet (2016) 17:630–41. doi: 10.1038/nrg.2016.93

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Pei Y, Liu K-W, Wang J, Garancher A, Tao R, Esparza LA, et al. HDAC and PI3K Antagonists Cooperate to Inhibit Growth of MYC-Driven Medulloblastoma. Cancer Cell (2016) 29:311–23. doi: 10.1016/j.ccell.2016.02.011

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Nebbioso A, Carafa V, Conte M, Tambaro FP, Abbondanza C, Martens J, et al. C-Myc Modulation and Acetylation Is a Key HDAC Inhibitor Target in Cancer. Clin Cancer Res Off J Am Assoc Cancer Res (2017) 23:2542–55. doi: 10.1158/1078-0432.CCR-15-2388

CrossRef Full Text | Google Scholar

30. Whittaker SJ, Demierre M-F, Kim EJ, Rook AH, Lerner A, Duvic M, et al. Final Results From a Multicenter, International, Pivotal Study of Romidepsin in Refractory Cutaneous T-Cell Lymphoma. J Clin Oncol Off J Am Soc Clin Oncol (2010) 28:4485–91. doi: 10.1200/JCO.2010.28.9066

CrossRef Full Text | Google Scholar

31. Tan J, Cang S, Ma Y, Petrillo RL, Liu D. Novel Histone Deacetylase Inhibitors in Clinical Trials as Anti-Cancer Agents. J Hematol Oncol J Hematol Oncol (2010) 3:5. doi: 10.1186/1756-8722-3-5

CrossRef Full Text | Google Scholar

32. Rasheed W, Bishton M, Johnstone RW, Prince HM. Histone Deacetylase Inhibitors in Lymphoma and Solid Malignancies. Expert Rev Anticancer Ther (2008) 8:413–32. doi: 10.1586/14737140.8.3.413

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Yang F, Zhao N, Ge D, Chen Y. Next-Generation of Selective Histone Deacetylase Inhibitors. RSC Adv (2019) 9:19571–83. doi: 10.1039/C9RA02985K

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Ning Z-Q, Li Z-B, Newman MJ, Shan S, Wang X-H, Pan D-S, et al. Chidamide (CS055/HBI-8000): A New Histone Deacetylase Inhibitor of the Benzamide Class With Antitumor Activity and the Ability to Enhance Immune Cell-Mediated Tumor Cell Cytotoxicity. Cancer Chemother Pharmacol (2012) 69:901–9. doi: 10.1007/s00280-011-1766-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: histone deacetylase inhibitors, metastatic breast cancer, entinostat, tucidinostat, endocrine therapy

Citation: Wang C, Lin Y, Zhu H, Zhou Y, Mao F, Huang X, Sun Q and Li C (2022) Efficacy and Safety Profile of Histone Deacetylase Inhibitors for Metastatic Breast Cancer: A Meta-Analysis. Front. Oncol. 12:901152. doi: 10.3389/fonc.2022.901152

Received: 21 March 2022; Accepted: 26 April 2022;
Published: 31 May 2022.

Edited by:

Francesco Schettini, Institut de Recerca Biomèdica August Pi i Sunyer (IDIBAPS), Spain

Reviewed by:

Maki Tanioka, Okayama University, Japan
Francesca Carlino, Azienda Sanitaria Locale Caserta, Italy

Copyright © 2022 Wang, Lin, Zhu, Zhou, Mao, Huang, Sun and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Qiang Sun, c3VucWlhbmdwdW1jaEBzaW5hLmNvbQ==; Chenggang Li, bGljaGVuZ2dhbmdAbmFua2FpLmVkdS5jbg==

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.