Literature DB >> 32581595

Efficacy and Safety of Cyclin-Dependent Kinases 4 and 6 Inhibitors in HR+/HER2- Advanced Breast Cancer.

Ning Xie1, Tao Qin1, Wei Ren1, Herui Yao1,2, Yunfang Yu1, Huangming Hong1.   

Abstract

PURPOSE: To assess the efficacy and safety of cyclin-dependent kinases 4 and 6 inhibitors (CDKi) combined with endocrine therapy (ET) in women with hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative advanced breast cancer (ABC) and compare the efficacy of different CDKi (palbociclib, ribociclib, or abemaciclib).
MATERIALS AND METHODS: This study based on randomized Phase 2 or 3 trials of CDKi plus ET compared with placebo plus ET for women with HR+/HER2-ABC and identify relevant randomized clinical trials (RCTs) published prior to February 2020. The primary endpoint was progression-free survival (PFS), the secondary endpoints included overall survival (OS), objective response rate (ORR), clinical benefit response (CBR) and safety. The PROSPERO registry number is 42018081105.
RESULTS: The results from eight trials including 4580 participants were pooled. Evidence indicated that the PFS of CDKi group was significantly prolonged (hazard ratio [HR] 0.55, 95% confidence interval [CI] 0.50-0.60, P < 0.01) compared with placebo group. The ORR and CBR were better (risk ratio [RR] 1.47, 95% CI 1.30-1.67, P < 0.01; 1.24, 95% CI 1.15-1.35, P < 0.01) in the CDKi group. The OS of CDKi group (HR 0.75, 95% CI 0.67-0.85, P < 0.01) was significantly longer than ET alone. Subgroup analyses confirmed that the benefit was consistent across most subgroups. Subgroup analyses showed no statistically significant difference of PFS among three CDKi: palbociclib vs ribociclib (HR 0.55, 95% CI 0.49-0.60, P = 0.34), palbociclib vs abemaciclib (HR 0.53, 95% CI, 0.47-0.59, P = 0.61), and ribociclib vs abemaciclib (HR 0.56, 95% CI, 0.51-0.62, P = 0.72). Treatment-related grade 3 or 4 hematologic adverse events (AEs) were more frequently in CDKi group.
CONCLUSION: CDKi combined with ET can significantly prolong PFS and improve the ORR, CBR and OS in patients with HR+/HER2- ABC. However, the advantage of different CDKi has not been established.
© 2020 Xie et al.

Entities:  

Keywords:  CDK4/6 inhibitor; HER2-negative; HR-positive; advanced breast cancer

Year:  2020        PMID: 32581595      PMCID: PMC7280088          DOI: 10.2147/CMAR.S254365

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Approximately two-thirds of breast cancer patients are hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative, representing the largest subtype of the disease.1,2 Endocrine therapy (ET) is an important treatment for this subtype; however, ET resistance and disease progression occur in a large subset of these cancers, necessitating the discovery of new approaches.3 The dysregulation of the cell cycle is one of the defined hallmarks of breast cancer.4 Cyclin-dependent kinases (CDKs) play an important role in regulating cell cycle progression,5 and their interaction with cyclin D facilitates the hyperphosphorylation of the retinoblastoma (Rb) gene product, which in turn leads to progression through the G1 checkpoint to the S phase of the cell cycle. This phenomenon has been described in a number of malignant conditions and is associated with endocrine resistance in breast cancer.6 Studies have shown that the direct inhibition of cyclin-dependent kinases 4 and 6 (CDK 4/6) disrupts this pathway and can diminish HR-positive breast cancer cell growth, act synergistically with antiestrogens, and reverse endocrine resistance.7,8 Compared with ET alone, the inhibition of CDK4/6 alongside ET has significantly improved progression-free survival (PFS) in patients with HR-positive, HER2-negative, advanced breast cancer (ABC).9–11 However, there are still some unsolved questions. So far, all three CDK4/6 inhibitors (CDKi) (palbociclib, ribociclib, or abemaciclib) followed parallel developmental strategies, and the absence of head-to-head comparative trials made it difficult to make decisions between the different options. The specific patient populations who can benefit from CDKi and whether CDKi are equally effective in different populations remain unclear. In addition, the adverse events (AEs) of CDKi need to be recognized more systematically. To address these concerns, our meta-analysis attempted to collect comprehensive, high-quality evaluations of the most recent randomized clinical trials (RCTs) to provide the available evidence for the efficacy and safety of CDKi in combination with ET in patients with HR-positive, HER2-negative ABC.

Materials and Methods

Search Strategy

A systematic literature search in PubMed, EMBASE, Cochrane Central Register of Controlled Trials, and Web of Science databases was performed to identify relevant RCTs published prior to February 2020. The population, intervention, comparison, and outcome (PICO) strategy was used with the following search terms: CDK4/6 inhibitors, HR-positive, HER2-negative, advanced breast cancer, and randomized clinical trials. No restrictions were imposed regarding sample size, population, language, publication year.

Eligibility and Exclusion Criteria

The Phase II or III RCTs divided patients into CDKi group and placebo group in accordance with the eligibility criteria; original full-text articles that reported one or more of the following outcomes: progression-free survival (PFS), overall survival (OS), objective response rate (ORR), clinical benefit response (CBR), and safety. Further eligibility criteria were that the patients with HR-positive/HER2-negative ABC should have data on menstrual status. The exclusion criteria were as follows: patients who had received previous treatment with a CDKi; inflammatory breast cancer; central nervous system metastases; symptomatic visceral disease or any disease burden; clinically significant cardiac arrhythmias and/or uncontrolled heart disease.

Data Extraction and Quality Assessment

The following baseline characteristics and outcomes were extracted: trial name (including first author, year of publication, and registry numbers for clinical trials), trial phase, number of participants, inclusion criteria, study design, median PFS, and primary and secondary endpoints. In original full-text articles that reported one or more of the following outcomes: PFS, OS, ORR, CBR, and safety, the primary outcome was PFS. The secondary outcomes included ORR (complete response + partial response), CBR (complete response + partial response + stable disease for ≥24 weeks), OS and safety. Measurable disease was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST), version 1.1.

Statistical Analysis

All efficacy endpoints were subjected to intention-to-treat (ITT) analysis when possible. Statistical heterogeneity was evaluated with I2 statistic, and the Mantel Haenszel effects model was applied. A random-effects model was used regardless of whether the heterogeneity was low or high. Dichotomous data were analyzed according to the relative risk (RR). For time-to-event data, estimated hazard ratios (HRs) were pooled using the inverse-variance method. The 95% confidence interval (CI) was reported for all estimates. P < 0.05 was considered statistically significant. We used Review Manager 5.3 to assess the risk of bias in individual studies. Subgroup analyses were then performed to detect the influence of stratification factors and other baseline characteristics. All statistical values are reported with the two-sided P-value. Statistical analyses were performed using R version 3.5.1 (R Foundation for Statistical Computing, Vienna, Austria). To ensure the reliability and accuracy of the results, two authors independently uploaded the data. Any differences of opinion were discussed between the two authors and as needed, a third party was involved until a consensus was reached.

Results

Search Results and Study Characteristics

We qualitatively examined each article according to the eligibility and exclusion criteria and selected eight RCTs with 4580 patients for inclusion in our meta-analysis. The eight RCTs were published between 2015 and 2019.8,10–16 Of the included trials, five trials examined the combination of CDKi and a nonsteroidal aromatase inhibitor (NSAI),8,10–13 three trials examined the combination of CDKi and fulvestrant.14–16 Three trials examined the combination of palbociclib and ET,12–14 three trials examined the combination of ribociclib and ET,8,11,16 and two trials examined the combination of abemaciclib and ET.10,15 The main characteristics of these included studies are listed in Table 1. We applied uniform criteria recommended by the Cochrane Collaboration to evaluate the risk of bias of the RCTs (Figure 1).
Table 1

Baseline Characteristics of the Included Studies

Clinical TrialsPhaseNo. of PatientsInclusion CriteriaStudy DesignPrimary EndpointSecondary EndpointsMedian PFSa
PALOMA-1IIC:84E:81Postmenopausal; HR(+);HER2(−);ABCPalbociclib+letrozole vs letrozolePFSORR, CBR, OS, safety20.2 vs10.2
PALOMA-2IIIC:444E:222Postmenopausal; HR(+);HER2(−);ABCPalbociclib+letrozole vs placebo+letrozolePFSORR, CBR, safety24.8 vs14.5
PALOMA-3IIIC:347E:174Postmenopausal/perimenopausal; HR(+);HER2(−);ABCPalbociclib+fulvestrant vs placebo+fulvestrantPFSORR, CBR, safety9.5 vs4.6
MONARCH 2IIIC:446E:223Postmenopausal;pre/perimenopausal; HR(+);HER2(−);ABCAbemaciclib+fulvestrant vs placebo+fulvestrantPFSORR, CBR, safety16.4 vs9.3
MONARCH 3IIIC:328E:165Postmenopausal; HR(+);HER2(−);ABCAbemaciclib+NSAI vs placebo +NSAIPFSORR, CBR, safetyNR vs14.7
MONALEESA-2IIIC:334E:334Postmenopausal; HR(+);HER2(−);ABCRibociclib+letrozole vs placebo +letrozolePFSORR, CBR, safetyNR vs NR
MONALEESA-7IIIC:335E:337Premenopausal/perimenopausal; HR(+);HER2(−);ABCRibociclib+ET vs placebo+ETPFSORR, CBR, safety23.8 vs13.0
MONALEESA-3IIIC:484E:242Postmenopausal; HR(+);HER2(−);ABCRibociclib+fulvestrant vs placebo+fulvestrantPFSORR, CBR, safety20.5 vs12.8

Note: aMedian PFS about CDK4/6 inhibitors plus endocrine therapy group versus placebo plus endocrine therapy group.

Abbreviations: C, CDK4/6 inhibitor plus endocrine therapy; E, endocrine therapy; HR+, hormone receptor positive; HER2−, human epidermal growth factor receptor 2 negative; ABC, advanced breast cancer; PFS, progression-free survival; ORR, objective response rate; CBR, clinical benefit response; OS, overall survival; NR, not reached.

Figure 1

Risk of bias summary.

Baseline Characteristics of the Included Studies Note: aMedian PFS about CDK4/6 inhibitors plus endocrine therapy group versus placebo plus endocrine therapy group. Abbreviations: C, CDK4/6 inhibitor plus endocrine therapy; E, endocrine therapy; HR+, hormone receptor positive; HER2−, human epidermal growth factor receptor 2 negative; ABC, advanced breast cancer; PFS, progression-free survival; ORR, objective response rate; CBR, clinical benefit response; OS, overall survival; NR, not reached. Risk of bias summary.

Primary Endpoint Analysis

The pooled data of our meta-analysis provide evidence that CDKi combined with ET lead to a significantly longer PFS than placebo plus ET (HR 0.55, 95% CI 0.50–0.60, P < 0.01; Figure 2A). In the subgroup analysis for PFS, across all demographic subgroups and patient baseline prognostic factors, a consistent conclusion that CDKi plus ET could decrease the incidence of disease progression or death, except for race. Although White and Asian had a significant decrease in the incidence of disease progression or death with the CDKi plus ET (HR 0.61, 95% CI 0.54–0.68; HR 0.47, 95% CI 0.34–0.64), there was no significant statistical difference in other race category (HR 0.44, 95% CI 0.16–1.20). All subgroup analyses of PFS confirmed that CDKi plus nonsteroidal aromatase inhibitor (NSAIs) group could decrease the incidence of disease progression or death. However, for Asian and other race category, there was no significant decrease in the incidence of disease progression or death with the treatment of CDKi plus fulvestrant (Table 2).
Figure 2

Forest plot of comparison: (A) progression-free survival; (B) overall survival.

Table 2

Subgroup Analysis of Progression-Free Survival

SubgroupPooled Hazard Ratio for PFS (95% CI)P value*
Palbo/Ribo/Abema+AI vs AIPalbo/Ribo/Abema+Ful vs FulCDKi+ET vs ET
Age
 ˂65 yr0.51(0.42–0.62)0.56(0.46–0.68)0.53(0.47–0.61)˂ 0.01
 ≥65 yr0.57(0.45–0.72)0.61(0.48–0.76)0.59(0.50–0.69)˂ 0.01
Race
 White0.62(0.54–0.72)0.59(0.49–0.70)0.61(0.54–0.68)˂ 0.01
 Asian0.39(0.29–0.51)0.77(0.30–1.96)0.47(0.34–0.64)˂ 0.01
 Other0.44(0.16–1.20)0.44(0.16–1.20)0.11
Region
 North America0.59(0.43–0.79)0.49(0.33–0.73)0.55(0.43–0.70)˂ 0.01
 Europe0.60(0.47–0.76)0.62(0.45–0.85)0.60(0.50–0.73)˂ 0.01
 Asia0.44(0.31–0.63)0.52(0.36–0.75)0.48(0.37–0.62)˂ 0.01
ECOG performance status
 00.57(0.49–0.66)0.52(0.43–0.63)0.55(0.49–0.62)˂ 0.01
 10.51(0.43–0.62)0.60(0.48–0.76)0.56(0.49–0.65)˂ 0.01
Site of metastatic disease
 Visceral0.57(0.49–0.66)0.53(0.43–0.64)0.55(0.49–0.61)˂ 0.01
 Bone Only0.52(0.38–0.73)0.46(0.33–0.66)0.50(0.40–0.62)˂ 0.01
 Nonvisceral0.54(0.45–0.66)0.52(0.40–0.66)0.53(0.46–0.62)˂ 0.01
 other0.50(0.43–0.60)0.69(0.55–0.85)0.56(0.47–0.67)˂ 0.01
Prior chemotherapy
 Yes0.53(0.44–0.65)0.60(0.40–0.89)0.55(0.46–0.65)˂ 0.01
 No0.56(0.47–0.66)0.31(0.18–0.53)0.51(0.42–0.63)˂ 0.01
Prior ET
 Yes0.55(0.45–0.68)0.56(0.43–0.74)0.56(0.47–0.66)˂ 0.01
 No0.53(0.45–0.63)0.58(0.42–0.80)0.54(0.47–0.63)˂ 0.01
 Prior Aromatase inhibitor0.54(0.44–0.66)0.52(0.31–0.88)0.53(0.45–0.64)˂ 0.01
 Prior Tamoxifen0.60(0.49–0.74)0.62(0.45–0.84)0.61(0.51–0.72)˂ 0.01
No. of disease sites
 10.51(0.34–0.77)0.54(0.41–0.72)0.53(0.42–0.67)˂ 0.01
 2-0.47(0.35–0.62)0.47(0.35–0.62)˂ 0.01
 ≥30.61(0.47–0.79)0.57(0.40–0.82)0.59(0.46–0.74)˂ 0.01
 Disease-free interval (≤12 mo) 0.50 (0.38–0.64)0.50(0.38–0.64)-0.50(0.38–0.64)˂ 0.01
 Disease-free interval (>12 mo)0.56(0.45–0.70)-0.56(0.45–0.70)˂ 0.01
 Disease setting (De Novo Metastatic)0.47(0.34–0.66)-0.47(0.34–0.66)˂ 0.01
 Disease setting (Metastatic recurrent)0.60(0.47–0.75)-0.60(0.47–0.75)˂ 0.01
 Pre-or perimenopause-0.45(0.31–0.66)0.45(0.31–0.66)˂ 0.01
 Postmenopausal-0.52(0.40–0.66)0.52(0.40–0.66)˂ 0.01
 PgR status (Positive)0.60(0.51–0.70)0.59(0.46–0.74)0.59(0.52–0.68)˂ 0.01
 PgR status (Negative)0.41(0.30–0.57)0.51(0.33–0.80)0.44(0.34–0.58)˂ 0.01
 Measurable disease (Yes)0.61(0.50–0.74)0.52(0.41–0.66)0.57(0.49–0.67)˂ 0.01
 Measurable disease (No)0.38(0.25–0.57)0.62(0.41–0.94)0.48(0.32–0.70)˂ 0.01
 Previous systemic therapy (Yes)0.54(0.30–0.96)0.43(0.33–0.57)0.45(0.35–0.57)˂ 0.01
 Previous systemic therapy (No)0.34(0.19–0.60)0.55(0.32–0.93)0.44(0.27–0.70)˂ 0.01

Note: *P value for cyclin-dependent kinase inhibitor plus endocrine therapy versus endocrine therapy.

Abbreviations: PFS, progression-free survival; CI, confidence interval; yr, year; Palbo, palbociclib; Ribo, ribociclib; Abema, abemaciclib; CDKi, cyclin-dependent kinase inhibitor; AI, aromatase inhibitors; Ful, fulvestrant; ET, endocrine therapy; ECOG, Eastern Cooperative Oncology Group; mo, months; PgR, progesterone receptor.

Subgroup Analysis of Progression-Free Survival Note: *P value for cyclin-dependent kinase inhibitor plus endocrine therapy versus endocrine therapy. Abbreviations: PFS, progression-free survival; CI, confidence interval; yr, year; Palbo, palbociclib; Ribo, ribociclib; Abema, abemaciclib; CDKi, cyclin-dependent kinase inhibitor; AI, aromatase inhibitors; Ful, fulvestrant; ET, endocrine therapy; ECOG, Eastern Cooperative Oncology Group; mo, months; PgR, progesterone receptor. Forest plot of comparison: (A) progression-free survival; (B) overall survival.

Secondary Endpoint Analysis

The ORR of the patients who had been randomly assigned to the CDKi group was higher than that of the placebo group (RR 1.48, 95% CI 1.30–1.68, P < 0.01). In patients with measurable disease, the CDKi group had a higher ORR than the placebo group (RR 1.47, 95% CI 1.30–1.67, P<0.01). Patients in the CDKi group had a greater CBR to treatment than patients in the placebo group, both in the ITT population (RR 1.21, 95% CI, 1.12–1.30, P<0.01) and in the population with measurable disease (RR 1.24, 95% CI 1.15–1.35, P<0.01) (Table 3). The OS benefit of CDKi plus ET has been compared in MONALEESA-7, MONALEESA-3, MONARCH-2, and PALOMA-3 trials. CDKi plus ET showed significantly longer OS than ET alone (HR for death 0.75, 95% CI 0.67–0.85, P<0.01; Figure 2B).
Table 3

Pooled Risk Ratio for Overall Response

Pooled RR for ResponsePalbo/Ribo/Abema+AI vs AIPalbo/Ribo/Abema+Ful vs FulPalbo+ET vs ETRibo+ET vs ETAbe+ET vs ETCDKi+ET vs ETP value*
All randomly assigned patients
Objective response1.35(1.22–1.50)1.86(1.42–2.45)1.41(1.03–1.92)1.44(1.27–1.65)1.72(1.10–2.69)1.48(1.30–1.68)˂ 0.01
Clinical benefit response1.15(1.08–1.22)1.32(1.07–1.63)1.40(1.12–1.74)1.11(1.06–1.18)1.18(1.00–1.40)1.21(1.12–1.30)˂ 0.01
Complete response1.30(0.67–2.52)1.64(0.08–33.84)0.24(0.01–4.17)1.36(0.69–2.68)6.48(1.24–33.98)1.56(0.64–3.82)0.33
Partial response1.40(1.24–1.59)1.93(1.32–2.82)1.92(0.81–4.56)1.44(1.25–1.65)1.63(1.08–2.47)1.53(1.32–1.77)˂ 0.01
Stable disease0.87(0.76–1.00)0.96(0.77–1.20)1.14(0.99–1.33)0.91(0.80–1.03)0.79(0.71–0.89)0.92(0.81–1.04)0.18
Progressive disease0.45(0.32–0.63)0.51(0.42–0.63)0.33(0.11–1.02)0.52(0.40–0.68)0.47(0.33–0.67)0.49(0.42–0.59)˂ 0.01
Indeterminate1.04(0.71–1.55)1.19(0.65–2.17)0.87(0.43–1.75)1.02(0.68–1.53)1.52(0.89–2.61)1.13(0.85–1.50)0.42
Patients with measurable disease
Objective response1.35(1.23–1.49)1.88(1.33–2.65)1.47(1.08–2.00)1.41(1.25–1.60)1.72(1.03–2.89)1.47(1.30–1.67)˂ 0.01
Clinical benefit response1.17(1.11–1.24)1.40(1.12–1.75)1.41(1.10–1.79)1.15(1.08–1.23)1.27(1.03–1.56)1.24(1.15–1.35)˂ 0.01
Complete response1.40(1.12–1.75)8.64(1.15–64.71)3.05(0.13–73.42)1.34(0.67–2.71)8.05(1.07–60.67)1.67(0.87–3.19)0.12
Partial response1.38(1.23–1.56)1.94(1.27–2.99)1.99(0.84–4.71)1.41(1.24–1.60)1.63(1.02–2.62)1.52(1.30–1.77)˂ 0.01
Stable disease0.84(0.74–0.95)0.98(0.67–1.43)1.10(0.91–1.33)0.97(0.76–1.24)0.69(0.58–0.82)0.90(0.75–1.08)0.24
Progressive disease0.41(0.29–0.58)0.50(0.40–0.62)0.31(0.09–1.13)0.49(0.37–0.65)0.44(0.30–0.64)0.47(0.39–0.57)˂ 0.01
Indeterminate0.70(0.16–3.09)1.54(0.88–2.70)2.57(1.15–5.75)0.45(0.09–2.21)1.54(0.84–2.84)1.01(0.44–2.36)0.97

Note: *P value for cyclin-dependent kinase inhibitor plus endocrine therapy versus endocrine therapy.

Abbreviations: RR, risk ratio; Palbo, palbociclib; Ribo, ribociclib; Abema, abemaciclib; CDKi, cyclin-dependent kinase inhibitor; AI, aromatase inhibitors; Ful, fulvestrant; ET, endocrine therapy.

Pooled Risk Ratio for Overall Response Note: *P value for cyclin-dependent kinase inhibitor plus endocrine therapy versus endocrine therapy. Abbreviations: RR, risk ratio; Palbo, palbociclib; Ribo, ribociclib; Abema, abemaciclib; CDKi, cyclin-dependent kinase inhibitor; AI, aromatase inhibitors; Ful, fulvestrant; ET, endocrine therapy.

Subgroup Analysis and Sensitivity Analysis

Subgroup analysis for three CDKi showed no statistically significant difference of PFS existed among these three CDKi plus NSAI regimens as first-line therapy: palbociclib vs ribociclib (HR 0.55, 95% CI 0.49–0.60, P = 0.34; ), palbociclib vs abemaciclib (HR 0.53, 95% CI, 0.47–0.59, P = 0.61; ), and ribociclib vs abemaciclib (HR 0.56, 95% CI 0.51–0.62, P = 0.72; ). According to stratification factors and other baseline characteristics, confirmed that the therapeutic effect of CDKi was not weakened (Supplementary Table S1). Sensitivity analysis was used to detect the stability of the consolidated results except the only Phase-II clinical trial (PALOMA-1). The result showed that all the outcomes were stable (HR 0.55, 95% CI 0.50–0.60, P<0.01; Supplementary ).

Safety

For grade 3 or 4 hematologic AEs, the results indicated that the CDKi group had a significantly increased risk of neutropenia (RR 33.52, 95% CI 17.27–65.05, P < 0.01), leukopenia (RR 22.08, 95% CI 12.12–40.21, P < 0.01), thrombocytopenia (RR 7.08, 95% CI 1.95–25.73, P < 0.01), and anemia (RR 2.25, 95% CI 1.39–3.64, P < 0.01). It is noteworthy that the CDKi group had a significantly increased risk of aspartate aminotransferase elevated (RR 3.48, 95% CI 1.89–6.43, P < 0.01) and alanine aminotransferase elevated (RR 6.08, 95% CI 3.16 −11.71, P < 0.01). As for pain in extremity, the dangers of it were minimized in the CDKi group, compared with the placebo group (RR 0.27, 95% CI 0.08–0.87, P = 0.03). Furthermore, fatigue, decreased appetite and asthenia were also more common in the CDKi group. However, for other serious AEs, there were no significant differences between groups with respect to vomiting (RR 1.33, 95% CI 0.60–2.94, P = 0.49), rash (RR 3.02, 95% CI 0.95–9.54, P = 0.06) and electrocardiogram QT prolonged (RR 4.01, 95% CI 0.89–18.05, P = 0.07). For three different CDKi, abemaciclib significantly increased the risk of grade 3 to 4 diarrhea (Table 4).
Table 4

Subgroup Analysis of Common Grade 3 and 4 Adverse Events

Pooled RR for Adverse EventsPalbo/Ribo/Abema+AI vs AIPalbo/Ribo/Abema+Ful vs FulPalbo+ET vs ETRibo+ET vs ETAbema+ET vs ETCDKi+ET vs ETP value*
Pooled RR for G3-G4 AEs (95% CI)2.68(2.41–2.99)2.65(2.06–3.41)3.22(2.61–3.98)2.53(2.24–2.85)2.60(2.14–3.16)2.66(2.43–2.92)˂ 0.01
Neutropenia29.96(15.35–58.47)60.39(6.86–531.24)56.00(23.38–134.09)47.32(9.67–231.51)15.49(6.94–34.59)33.52(17.27–65.05)˂ 0.01
Leucopenia19.64(9.55–39.66)30.83(9.92–95.85)31.98(10.28–99.46)21.24(8.00–56.35)18.33(3.63–92.54)22.08(12.12–40.21)˂ 0.01
Thrombocytopenia5.98(0.75–47.69)7.88(1.52–40.85)6.75(1.26–36.15)NA7.59(1.01–57.05)7.08(1.95–25.73)˂ 0.01
Anemia2.15(1.23–3.75)2.51(0.89–7.13)2.58(1.21–5.49)1.35(0.73–2.51)6.18(2.25–17.01)2.25(1.39–3.64)˂ 0.01
Fatigue3.69(1.51–8.98)3.22(1.12–9.26)2.80(0.96–8.19)3.42(1.21–9.67)6.18(1.18–32.48)3.49(1.76–6.89)˂ 0.01
Nausea1.14(0.35–3.73)1.64(0.49–5.55)0.35(0.06–2.09)2.52(0.93–6.84)1.63(0.41–6.55)1.33(0.59–2.99)0.50
Arthralgia0.95(0.38–2.41)1.07(0.23–4.97)0.97(0.22–4.15)1.08(0.39–2.96)0.51(0.03–8.05)0.98(0.44–2.17)0.96
Diarrhea2.70(1.05–6.94)1.75(0.06–49.05)1.07(0.22–5.14)1.48(0.54–4.05)12.84(3.28–50.25)2.59(0.85–7.88)0.09
Hot flush2.99(0.31–28.68)0.17(0.01–4.06)0.17(0.01–4.06)2.99(0.31–28.68)NA1.14(0.17–7.54)0.89
Decreased appetite3.37(1.06–10.70)1.87(0.46–7.56)2.20(0.46–10.52)3.77(0.81–17.49)2.24(0.49–10.32)2.65(1.09–6.46)0.03
Dyspnea1.42(0.49–4.13)0.92(0.13–6.72)0.77(0.26–2.28)4.02(0.45–35.81)2.02(0.58–7.09)1.36(0.63–2.93)0.44
Abdominal pain1.47(0.38–5.68)2.08(0.59–7.42)1.00(0.09–10.92)3.02(0.32–28.87)1.76(0.57–5.39)1.77(0.70–4.46)0.23
Back pain2.05(0.68–6.21)1.02(0.41–2.54)1.08(0.31–3.84)1.93(0.70–5.32)0.76(0.13–4.51)1.36(0.69–2.68)0.37
Headache0.38(0.09–1.56)1.88(0.47–7.60)0.46(0.02–8.55)0.84(0.19–3.74)1.80(0.30–11.03)0.81(0.30–2.14)0.67
Vomiting1.17(0.41–3.33)1.70(0.38–7.54)0.36(0.09–1.41)3.65(1.42–9.33)0.85(0.24–2.92)1.33(0.60–2.94)0.49
Asthenia6.41(1.16–35.34)NA7.17(0.91–56.60)5.03(0.24–104.37)NA6.41(1.16–35.34)0.03
Bone pain1.02(0.08–13.21)0.50(0.07–3.51)1.13(0.13–9.65)0.34(0.04–3.21)NA0.67(0.17–2.60)0.57
Constipation2.43(0.50–11.77)2.28(0.38–13.58)1.00(0.09–10.97)6.32(0.80–49.76)1.80(0.30–11.03)2.36(0.72–7.70)0.15
Stomatitis1.81(0.27–12.32)2.51(0.29–21.44)1.96(0.22–17.70)2.01(0.18–22.08)2.53(0.12–52.50)2.10(0.50–8.75)0.31
Dizziness2.73(0.30–24.68)2.38(0.27–20.88)1.96(0.22–17.70)3.02(0.12–73.82)3.54(0.18–68.30)2.55(0.54–11.96)0.24
Pain in extremity0.16(0.03–0.95)0.31(0.03–3.04)0.12(0.02–0.73)0.48(0.10–2.22)NA0.27(0.08–0.87)0.03
Rash2.79(0.59–13.16)3.32(0.59–18.56)2.16(0.37–12.70)3.35(0.56–19.87)5.57(0.31–100.25)3.02(0.95–9.54)0.06
Pyrexia2.84(0.31–25.61)1.52(0.16–14.5)1.50(0.06–36.71)5.03(0.24–104.37)1.52(0.16–14.50)2.09(0.43–10.11)0.36
Increased aspartate aminotransferase3.80(1.76–8.24)3.20(0.65–15.84)1.50(0.41–5.45)4.40(2.23–8.68)NA3.48(1.89–6.43)˂ 0.01
Increased alanine aminotransferase5.17(2.47–10.84)14.12(2.77–71.96)6.49(0.37–114.55)6.48(2.27–15.44)NA6.08(3.16–11.71)˂ 0.01
Infections1.73(0.74–4.07)0.70(0.22–2.17)0.70(0.22–2.17)1.73(0.74–4.07)NA1.19(0.50–2.85)0.70
InsomniaNA1.50(0.06–36.58)1.50(0.06–36.58)-NA1.50(0.06–36.58)0.80
Musculoskeletal pain1.56(0.19–12.59)0.50(0.03–7.92)1.04(0.13–8.43)1.01(0.06–16.02)NA1.03(0.19–5.46)0.97
Upper respiratory tract infection2.26(0.33–15.35)3.51(0.17–72.72)3.15(0.35–28.27)2.01(0.18–22.08)NA2.57(0.51–12.94)0.25
Pain1.44(0.24–8.79)0.35(0.03–3.84)0.53(0.09–3.25)2.01(0.18–22.08)NA0.86(0.20–3.65)0.84
Pulmonary embolism8.35(0.46–152.63)3.49(0.18–67.28)5.45(0.69–43.26)NANA5.45(0.69–43.26)0.11
Chest pain0.93(0.06–14.58)1.50(0.06–36.58)1.14(0.14–9.17)NANA1.14(0.14–9.17)0.90
Neck pain0.31(0.01–7.48)1.50(0.06–36.58)0.68(0.07–6.48)NANA0.68(0.07–6.48)0.74
Pleural effusion0.19(0.01–3.81)0.50(0.03–7.92)0.32(0.04–2.44)NANA0.32(0.04–2.44)0.27
Electrocardiogram QT prolonged4.02(0.45–35.81)4.00(0.50–31.80)NA4.01(0.89–18.05)NA4.01(0.89–18.05)0.07
Treatment modification due to AEs (discontinuation)3.68(1.44–9.41)2.95(1.58–5.51)2.01(1.20–3.34)2.92(0.84–10.14)5.96(3.26–10.89)3.33(1.85–6.00)˂ 0.01
Treatment modification due to AEs (reduction)9.19(3.23–26.16)9.27(2.22–38.74)3.11(2.21–4.36)11.61(3.47–38.87)13.96(2.84–68.57)9.08(4.27–19.30)˂ 0.01
Serious AEs1.37(0.89–2.10)1.39(0.77–2.50)1.21(0.57–2.59)1.22(0.70–2.12)1.96(1.46–2.62)1.38(1.00–1.89)0.05
Deaths due to AEs1.77(0.78–4.02)0.81(0.34–1.93)1.38(0.47–4.07)1.29(0.31–5.39)1.97(0.42–9.17)1.22(0.68–2.22)0.50
Related to treatment3.51(1.80–6.82)5.53(1.85–16.50)NA3.39(1.76–6.50)6.57(2.05–21.04)3.97(2.25–7.00)˂ 0.01

Note: *P value for cyclin-dependent kinase inhibitor plus endocrine therapy versus endocrine therapy.

Abbreviations: RR, risk ratio; CI, confidence interval; Palbo, palbociclib; Ribo, ribociclib; Abema, abemaciclib; CDKi, cyclin-dependent kinase inhibitor; AI, aromatase inhibitors; Ful, fulvestrant; ET, endocrine therapy; G, grade; AEs, adverse events; NA, not available.

Subgroup Analysis of Common Grade 3 and 4 Adverse Events Note: *P value for cyclin-dependent kinase inhibitor plus endocrine therapy versus endocrine therapy. Abbreviations: RR, risk ratio; CI, confidence interval; Palbo, palbociclib; Ribo, ribociclib; Abema, abemaciclib; CDKi, cyclin-dependent kinase inhibitor; AI, aromatase inhibitors; Ful, fulvestrant; ET, endocrine therapy; G, grade; AEs, adverse events; NA, not available.

Discussion

This study constitutes a comprehensive and systematic evaluation of the efficacy and safety of CDKi combined with ET for patients with HR-positive, HER2-negative ABC. Overall, PFS (P < 0.01) was significantly longer in the CDKi group than in the placebo group, and the ORR and CBR were better in the CDKi group. In addition, CDKi plus ET showed a significant OS benefit over ET alone. The results of the safety analyses showed that the CDKi group was well tolerated. The most common grade 3 or 4 AEs in the CDKi combination group were hematologic AEs. Furthermore, these treatment effects were consistent across most prespecified subgroups, such as age, Eastern Cooperative Oncology Group (ECOG) performance status, ET resistance, and the kind of CDKi. These data provide additional confirmation for the use of CDKi and ET combinations as effective first-line treatment for women with HR-positive/HER2-negative ABC. Hormone-directed drugs have been the mainstay of treatment for advanced HR-positive breast cancer for more than four decades. To improve clinical outcomes, many drugs targeting HRs or ligand pathways have emerged, including tamoxifen, steroidal and NSAIs, and fulvestrant.17 However, most drugs that target other pathways, including the Her1 and Her2 pathways, angiogenesis, and IGFR, have been less than satisfactory and might play a role in the development of resistance to hormone drugs.18–20 The development of CDKi for the treatment of HR-positive ABC was based on the findings of preclinical studies that identified a dependence of HR-positive breast cancer on CDK4 and CDK6 signaling and a synergistic effect from targeting the HR, cyclin D CDK4/6 Rb pathway.21 Early preclinical data suggest that relative amounts of pRb in various breast cancer subtypes may be predictive, although pRb loss is uncommon in HR-positive, HER2-negative breast cancers.21 PALOMA-1 indicated that the increase in cyclin D1, loss of p16, or both may be a potential predictor, but further studies are needed.12 The large genome expression analysis report of the PALOMA-3 study showed that although palbociclib plus fulvestrant was effective for all patients with biomarker grouping,14 the high expression of CCNE1 mRNA was associated with relative resistance to palbociclib, and the expression level of CCNE1 mRNA might be a predictive indicator of the efficacy of palbociclib plus fulvestrant.22 More biomarkers and biomarkers of resistance will also be assessed in ongoing and future molecular studies.23,24 Palbociclib, ribociclib and abemaciclib are orally administered, potent, and selective small-molecule inhibitors of CDK 4 and 6.25,26 Previous studies have demonstrated that palbociclib, ribociclib and abemaciclib have the ability to inhibit pRb phosphorylation as well and suppress the proliferation of breast cancer cells, in particular for the HR-positive subtype of breast cancer.21,27 Relevant clinical data showed that CDKi could inhibit the growth of tumors, which would not only be a great benefit to patients with ABC but also to patients with early breast cancer.28 In addition, related preclinical studies have shown that HER2+ breast cancer cell lines remain sensitive to CDKi, indicating that HER2+ breast cancer patients may also benefit from the treatment of CDKi.29 However, preclinical research revealed that there was no relevant effect of CDKi on the triple-negative subtype of breast cancer.21 Although the OS benefit of CDKi combined with ET has reported in multiple trials,30–34 how to combine CDKi with chemotherapy and targeted drugs is still an important clinical problem to be solved. Nevertheless, further studies are needed to determine whether CDKi have the ability to antagonize the antitumor effects of cytotoxic chemotherapy or targeted therapy, which has the function of killing cancer cells in the cell cycle.35 In addition, more RCTs are needed to determine which groups are more suitable for treatment with CDKi. A high incidence of hematologic AEs has consistently been observed in combination treatment with CDKi. The most common hematologic grade 3 or 4 AEs were neutropenia, leucopenia, anemia and thrombocytopenia. Although the incidence of neutropenia of any grade in the CDKi group was 66.08% in the current meta-analysis, the incidence of febrile neutropenia was 1.13%. Although hematologic AEs were the most common all-grade and grade 3 or 4 AEs, they were not accompanied with serious clinical outcomes and are likely the result of an on-target effect of CDKi on marrow progenitor cells.36 The absence of serious complications resulting from CDKi-associated hematologic AEs probably reflects a cytostatic rather than cytotoxic effect of the drug on bone marrow progenitor cells, different from what is seen with typical cytotoxic drugs. Our meta-analysis provides useful data for the safety profile of the combination of CDKi and ET, suggesting that AEs are manageable and treatable. AEs were generally manageable with CDKi dose adjustments. There was a low proportion of patients who discontinued study treatment owing to AEs. Our study has some limitations. Firstly, there is no head-to-head trial compared different CDKi, and we have no individual patient data to make a further comparison, mainly because of the limited data available in the real-world study. Secondly, there are no data of biomarkers to predict efficacy. Finally, further follow-up of OS is still needed to determine the effect of CDKi on long-term survival.

Conclusion

In conclusion, the data from these RCTs provide proof for the efficacy and safety of CDKi in advanced, HR-positive, HER2-negative ABC. The improvement in PFS is substantial in this population. Although the AEs of CDKi are higher, it is generally acceptable and manageable. These data clearly warrant further investigation of the efficacy and safety of CDKi in combination with hormonal blockade, both in patients with this subtype of breast cancer and in other cancer settings.
  34 in total

1.  Changing concepts of hormone receptor-positive advanced breast cancer therapy.

Authors:  Rowan T Chlebowski
Journal:  Clin Breast Cancer       Date:  2012-12-08       Impact factor: 3.225

Review 2.  Ribociclib (LEE011): Mechanism of Action and Clinical Impact of This Selective Cyclin-Dependent Kinase 4/6 Inhibitor in Various Solid Tumors.

Authors:  Debu Tripathy; Aditya Bardia; William R Sellers
Journal:  Clin Cancer Res       Date:  2017-03-28       Impact factor: 12.531

Review 3.  Overcoming endocrine resistance in metastatic breast cancer: Current evidence and future directions.

Authors:  Andrea Milani; Elena Geuna; Gloria Mittica; Giorgio Valabrega
Journal:  World J Clin Oncol       Date:  2014-12-10

4.  Overcoming Therapeutic Resistance in HER2-Positive Breast Cancers with CDK4/6 Inhibitors.

Authors:  Shom Goel; Qi Wang; April C Watt; Sara M Tolaney; Deborah A Dillon; Wei Li; Susanne Ramm; Adam C Palmer; Haluk Yuzugullu; Vinay Varadan; David Tuck; Lyndsay N Harris; Kwok-Kin Wong; X Shirley Liu; Piotr Sicinski; Eric P Winer; Ian E Krop; Jean J Zhao
Journal:  Cancer Cell       Date:  2016-03-14       Impact factor: 31.743

5.  Ribociclib plus letrozole in early breast cancer: A presurgical, window-of-opportunity study.

Authors:  G Curigliano; P Gómez Pardo; F Meric-Bernstam; P Conte; M P Lolkema; J T Beck; A Bardia; M Martínez García; F Penault-Llorca; S Dhuria; Z Tang; N Solovieff; M Miller; E Di Tomaso; S A Hurvitz
Journal:  Breast       Date:  2016-06-20       Impact factor: 4.380

Review 6.  Signaling through cyclin D-dependent kinases.

Authors:  Y J Choi; L Anders
Journal:  Oncogene       Date:  2013-05-06       Impact factor: 9.867

7.  Endocrine Therapy for Hormone Receptor-Positive Metastatic Breast Cancer: American Society of Clinical Oncology Guideline.

Authors:  Hope S Rugo; R Bryan Rumble; Erin Macrae; Debra L Barton; Hannah Klein Connolly; Maura N Dickler; Lesley Fallowfield; Barbara Fowble; James N Ingle; Mohammad Jahanzeb; Stephen R D Johnston; Larissa A Korde; James L Khatcheressian; Rita S Mehta; Hyman B Muss; Harold J Burstein
Journal:  J Clin Oncol       Date:  2016-05-23       Impact factor: 44.544

8.  Acquired CDK6 amplification promotes breast cancer resistance to CDK4/6 inhibitors and loss of ER signaling and dependence.

Authors:  C Yang; Z Li; T Bhatt; M Dickler; D Giri; M Scaltriti; J Baselga; N Rosen; S Chandarlapaty
Journal:  Oncogene       Date:  2016-10-17       Impact factor: 9.867

9.  Cyclin E1 Expression and Palbociclib Efficacy in Previously Treated Hormone Receptor-Positive Metastatic Breast Cancer.

Authors:  Nicholas C Turner; Yuan Liu; Zhou Zhu; Sherene Loi; Marco Colleoni; Sibylle Loibl; Angela DeMichele; Nadia Harbeck; Fabrice André; Mohamed Amine Bayar; Stefan Michiels; Zhe Zhang; Carla Giorgetti; Monica Arnedos; Cynthia Huang Bartlett; Massimo Cristofanilli
Journal:  J Clin Oncol       Date:  2019-02-26       Impact factor: 44.544

Review 10.  Recent advances of highly selective CDK4/6 inhibitors in breast cancer.

Authors:  Hanxiao Xu; Shengnan Yu; Qian Liu; Xun Yuan; Sridhar Mani; Richard G Pestell; Kongming Wu
Journal:  J Hematol Oncol       Date:  2017-04-24       Impact factor: 17.388

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  3 in total

Review 1.  Breast cancer liver metastasis: current and future treatment approaches.

Authors:  Narmeen S Rashid; Jacqueline M Grible; Charles V Clevenger; J Chuck Harrell
Journal:  Clin Exp Metastasis       Date:  2021-03-06       Impact factor: 5.150

2.  Cost Effectiveness of Ribociclib and Palbociclib in the Second-Line Treatment of Hormone Receptor-Positive, HER2-Negative Metastatic Breast Cancer in Post-Menopausal Indian Women.

Authors:  Nidhi Gupta; Dharna Gupta; Jyoti Dixit; Nikita Mehra; Ashish Singh; Manjunath Nookala Krishnamurthy; Gaurav Jyani; Kavitha Rajsekhar; Jayachandran Perumal Kalaiyarasi; Partha Sarathi Roy; Prabhat Singh Malik; Anisha Mathew; Pankaj Malhotra; Sudeep Gupta; Lalit Kumar; Amal Kataki; Shankar Prinja
Journal:  Appl Health Econ Health Policy       Date:  2022-05-10       Impact factor: 3.686

Review 3.  Clinical Utility of CDK4/6 Inhibitors in Sarcoma: Successes and Future Challenges.

Authors:  Jocelyn Y Hsu; Nathan D Seligson; John L Hays; Wayne O Miles; James L Chen
Journal:  JCO Precis Oncol       Date:  2022-02
  3 in total

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