| Literature DB >> 26895472 |
Maria Saveria Rotundo1, Teresa Galeano1, Pierfrancesco Tassone2,3, Pierosandro Tagliaferri1.
Abstract
We evaluated if standard hormonal therapy (HT) could be improved by the addition of mammalian target of rapamycin inhibitors (mTOR-I) in metastatic luminal breast cancer. A meta-analysis on 4 phase II-III randomized clinical trials was performed. Pooled hazard ratio (HR) for progression free survival (PFS)/ time to progression (TTP) was 0.62 in favor of mTOR-I+HT arm (95% confidence interval [CI] 0.55-0.70; p<0.0001). There was significant heterogeneity for PFS/TTP (Cochran's Q 32, p<0.0001, I2 index 90.6%). Pooled HR for overall survival (OS) was 0.84 in favor of the combination arm (95% CI 0.71-0.99; p=0.04). Heterogeneity was not significant (Cochran's Q 4.47, p=0.1, I2 index 55.3%). Pooled risk ratio (RR) for objective response rate (ORR) was 0.88 in favor of experimental arm (95% CI 0.85-0.91; p<0.0001). Heterogeneity was not significant (Cochran's Q 2.11, p=0.3, I2 index 5.2%). Adverse events (AEs), in particular those of grade 3-4, mostly occurred in mTOR-I+HT arm. Combination therapy of HT plus mTOR-I improves the outcome of metastatic luminal breast cancer patients. Our results provide evidence of a class-effect of these targeting molecules.Entities:
Keywords: hormonal therapy; luminal breast cancer; mTOR inhibitor; meta-analysis; metastatic breast cancer
Mesh:
Substances:
Year: 2016 PMID: 26895472 PMCID: PMC5053632 DOI: 10.18632/oncotarget.7446
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1Flow chart of the literature search used in this meta-analysis
Public databases (PubMed, Embase, Central Registry of Controlled Trials of the Cochrane Library) full texts and abstracts were performed to track relevant references for the 2005-2015 time frame.
Characteristics and efficacy results of the eligible studies
| Trial | Author and year of publication | Phase | Design | Primary endpoints | Secondary endpoints | Number of enrolled patients |
|---|---|---|---|---|---|---|
| BOLERO-2 | Yardley 2013 (PFS) | III | EXE+EVE | PFS | Safety, QoL, OS | 485 EXE+EVE |
| Piccart 2014 (OS) | ||||||
| Rugo 2014 (AEs) | EXE+PBO | 239 EXE+PBO | ||||
| TAMRAD | Bachelot 2012 | II | TMX+EVE | 6-months CBR | TTP, OS, ORR, Toxicity | 54 TMX+EVE |
| TMX | 57 TMX | |||||
| HORIZON | Wolff 2012 | III | LETRO+TEMS | PFS | OS, Tumor Response, Clinical Benefit, TTP, TTF, Safety, QoL, Duration of Response | 556 LETRO+TEMS |
| LETRO+PBO | 556 LETRO+PBO | |||||
| SIROLIMUS TRIAL | Bhattacharyya 2011 | II | TMX+ SIR | TTP, ORR | Safety, Toxicity, Preliminary Pharmacoeconomic | 200 TOTAL (PHASE II) |
| Analysis | ||||||
| TMX |
EXE: exemestane, EVE: everolimus, PBO: placebo, TMX: tamoxifene, LETRO: letrozole, TEMS: temsirolimus, SIR: sirolimus, PFS: progression free survival, CBR: clinical benefit rate, TTP: time to progression, ORR: objective response rate, QoL: Quality of Life, OS: overall survival, TTF: time to treatment failure, NS: not significant.
Figure 2Forest plots of progression free survival/time to progression and Funnel plot for publication bias
Pooled HR with 95% CI were generated with fixed and random effects models and the respective forest plots A–B are reported up in the figure. Cochran's Q and I2 index tests for detecting heterogeneity, Begg-Mazumdar and Egger tests for disclosing publication bias were performed C. A funnel plot D was drawn for checking bias.
Figure 3Forest plots of progression free survival/time to progression without Bhattacharyya trial
Pooled HR with 95% CI were generated with fixed and random effects models and the respective forest plots A–B are reported. Cochran's Q and I2 index tests for detecting heterogeneity were performed C.
Figure 4Forest plots of overall survival
Pooled HR with 95% CI were generated with fixed and random effects models and the respective forest plots are reported A–B. Cochran's Q and I2 index tests for detecting heterogeneity were performed C.
Figure 5Forest plots of objective response rate
Pooled RR with 95% CI were generated with fixed and random effects models and the respective forest plots are reported A–B. Cochran's Q and I2 index tests for detecting heterogeneity were performed C.
Meta-analysis results: safety
| Meta-analysis of any grade adverse events. | ||||||||
|---|---|---|---|---|---|---|---|---|
| Fixed-effects RR (95% CI) | Z | P | Heterogeneity Cochran's Q (P) | I2 INDEX (%) | Random-effects RR (95%CI) | Z | P | |
| Asthenia | 0.989 | −2.48 | 0.01 | 4.90 | 79.6 | 0.961 | −1.06 | 0.28 |
| (0.981-0.997) | (0.02) | (0.895-1.033) | ||||||
| Fatigue | 0.97 | −2.63 | 0.008 | 4.06 | 75.4 | 0.80 | −0.85 | 0.39 |
| (0.96-0.99) | (0.04) | (0.48-1.32) | ||||||
| Diarrhea | 0.85 | −6.86 | <0.0001 | 3.76 | 73.4 | 0.78 | −2.10 | 0.03 |
| (0.81-0.89) | (0.05) | (0.62-0.98) | ||||||
| Stomatitis | 0.95 | −6.33 | <0.0001 | 37.28 | 94.6 | 0.87 | −2.49 | 0.01 |
| (0.94-0.96) | (<0.0001) | (0.78-0.97) | ||||||
| Pneumonitis | 0.93 | −5.97 | <0.0001 | 1.65 | 39.7 | 0.92 | −2.21 | 0.02 |
| (0.91-0.95) | (0.19) | (0.85-0.99) | ||||||
| Hyperglycemia | 0.996 | −1.95 | 0.05 | 21.16 | 95.3 | 0.95 | −1.02 | 0.30 |
| (0.992-1.00) | (<0.0001) | (0.87-1.04) | ||||||
| Infection | 0.95 | −2.44 | 0.01 | 2.23 | 55.3 | 0.91 | −1.12 | 0.25 |
| (0.92-0.99) | (0.13) | (0.77-1.07) | ||||||
| Rash | 0.97 | −5.49 | <0.0001 | 41.90 | 95.2 | 0.86 | −2.30 | 0.02 |
| (0.96-0.98) | (<0.0001) | (0.77-0.97) | ||||||
| Dyspnea | 0.96 | −4.22 | <0.0001 | 0.17 | 0 | 0.96 | −4.22 | <0.0001 |
| (0.95-0.98) | (0.67) | (0.95-0.98) | ||||||