| Literature DB >> 31703728 |
Jin Sun Lee1, Susan E Yost1, Suzette Blanchard2, Daniel Schmolze3, Hongwei Holly Yin3, Raju Pillai3, Kim Robinson1, Aileen Tang1, Norma Martinez1, Jana Portnow1, Wei Wen4, John H Yim4, Heather Ann Brauer5, Yuqi Ren5, Thehang Luu6, Joanne Mortimer7, Yuan Yuan8.
Abstract
BACKGROUND: Alteration of the PI3K/AKT/mTOR pathway is a common genomic abnormality detected in triple-negative breast cancer (TNBC). Everolimus acts synergistically with eribulin in TNBC cell lines and xenograft models. This phase I trial was designed to test the safety and tolerability of combining eribulin and everolimus in patients with metastatic TNBC.Entities:
Keywords: Eribulin; Everolimus; Metastatic TNBC; Phase I trial
Mesh:
Substances:
Year: 2019 PMID: 31703728 PMCID: PMC6839083 DOI: 10.1186/s13058-019-1202-4
Source DB: PubMed Journal: Breast Cancer Res ISSN: 1465-5411 Impact factor: 6.466
Patient characteristics
| Patients ( | |
|---|---|
| Age | 55 (36–76) |
| ECOG performance status | |
| 0 | 8 (30%) |
| 1 | 15 (56%) |
| 2 | 4 (15%) |
| Median BMI (range) | 30 (19–48) |
| Race/ethnicity | |
| White | 18 (67%) |
| Asian/Pacific Islander | 3 (11%) |
| Black | 2 (7%) |
| Unknown | 4 (15%) |
| Non-Hispanic | 18 (67%) |
| Hispanic | 9 (33%) |
| Initial tumor stage | |
| I | 3 (11%) |
| II | 14 (52%) |
| III | 6 (22%) |
| IV | 4 (15%) |
| Lines of chemo for metastases | |
| 0–1 | 12 (44%) |
| ≥ 2 | 15 (56%) |
| Sites of metastases | |
| Distant lymph nodes | 18 (67%) |
| Lung | 15 (56%) |
| Distant skin/subcutaneous tissue | 11 (41%) |
| Bone | 11 (41%) |
| Liver | 10 (37%) |
| Pleura | 9 (33%) |
| Brain | 2 (7%) |
| Others* | 5 (19%) |
*Others are the latissimus dorsi muscle, adrenal glands, ovary, and contralateral breast
Fig. 1Patient accrual and correlative analysis summary. A total of 27 patients were accrued and received treatment on the study. Two of the patients’ on-treatment biopsy revealed HER2+ FISH-amplified tumor, and study treatment was terminated (patients were excluded from the efficacy analysis but included in the toxicity analysis). mRNA profiling was performed for 20 patients with NanoString PanCancer Pathways analysis and 11 patients for BC360™. FoundationOne ® genomic mutation profiles were available for 9 patients
Dosing levels and DLTs
| Dosing levels | Number | Evaluable | DLT (%) | DLT type |
|---|---|---|---|---|
| A1: everolimus 5 mg daily; eribulin 1.4 mg/m2 days 1 and 8 every 3 weeks | 10 | 8† | 4 (50%) | 1 patient: grade3 mucositis 2 patients: grade 4 neutropenia, including one with febrile neutropenia 1 patient: received less than 75% of planned dose of everolimus due to prolonged grade 2 mucositis |
| A2: everolimus 7.5 mg daily; eribulin 1.4 mg/m2 days 1 and 8 every 3 weeks | 4 | 3* | 2 (67%) | 1 patient: grade 3 hyperglycemia 1 patient: grade 3 mucositis |
| B1: everolimus 5 mg daily; eribulin 1.1 mg/m2 days 1 and 8 every 3 weeks | 13 | 12‡ | 4 (33%) | 2 patients: grade 4 neutropenia 1 patient: grade 3 mucositis 1 patient: did not receive 75% of everolimus due to persisting grade 2 mucositis |
†One patient progressed without completion of the first 2 cycles of therapy, hence unevaluable for DLT; 1 patient did not receive planned dose due to grade 3 hypoglycemia attributed to diabetes
*One patient was found to be HER2+ on repeat biopsy, deem ineligible
‡One patient was found to be HER2+ on repeat biopsy, deem ineligible
Fig. 2Summary of toxicities. a Hematological toxicities: 12/27 (44%) had ≥ grade 3 hematological toxicity, including neutropenia (n = 10), lymphopenia (n = 6), and leukopenia (n = 7). b Non-hematologic toxicities: 9/27 (33%) had grade 3 non-hematological toxicity, including oral mucositis (n = 3), hyperglycemia (n = 3), and fatigue (n = 5). The counts of maximum ≥ grade 2 for each participant was listed for each event type (either ≥ grade 3 toxicity, or 2 participants experienced a grade 2 toxicity)
Fig. 3Kaplan-Meier survival analysis. a Median PFS was 2.6 months (95% CI [2.1, 4.0]). b Median OS was 8.3 months (95% CI [5.5, undefined])
NanoString PanCancer Pathways® differentially expressed genes
| mRNA | Log2 fold change | Standard error (log2) | Linear fold change | Gene sets | |
|---|---|---|---|---|---|
| SPP1 | − 2.96 | 0.804 | 0.129 | 0.0017 | PI3K |
| CDKN2A | − 2.05 | 0.805 | 0.242 | 0.0211 | Cell cycle, apoptosis, tumor suppressor gene |
| CNTFR | − 1.98 | 0.702 | 0.253 | 0.0111 | JAK-STAT |
| DDIT4 | − 1.65 | 0.557 | 0.319 | 0.0848 | PI3K |
| WNT5A | − 1.49 | 0.702 | 0.355 | 0.0474 | Hedgehog, Wnt |
| ITGA9 | 1.01 | 0.36 | 2.02 | 0.0116 | PI3K |
| LAT | 1.07 | 0.453 | 2.1 | 0.0297 | Ras |
| IL7R | 1.08 | 0.427 | 2.11 | 0.0214 | JAK-STAT, PI3K |
| PPARGC1A | 1.21 | 0.519 | 2.32 | 0.0312 | Chromatin modification |
| TSLP | 1.23 | 0.544 | 2.34 | 0.0379 | JAK-STAT |
| ID4 | 1.31 | 0.353 | 2.47 | 0.00163 | TGF-β |
| TNR | 1.33 | 0.602 | 2.52 | 0.0408 | PI3K |
| RASGRP2 | 1.42 | 0.614 | 2.68 | 0.0336 | MAPK, Ras |
| HNF1A | 1.49 | 0.591 | 2.8 | 0.0223 | Driver gene |
| COL2A1 | 1.59 | 0.606 | 3.01 | 0.0178 | PI3K |
| EFNA2 | 1.69 | 0.626 | 3.22 | 0.0154 | PI3K, Ras |
| CCR7 | 1.7 | 0.68 | 3.25 | 0.0229 | Transcriptional misregulation |
| IL2ORB | 1.71 | 0.607 | 3.26 | 0.0116 | JAK-STAT |
| WNT16 | 1.87 | 0.777 | 3.66 | 0.0277 | Hedgehog, transcriptional misregulation, Wnt |
| CALML5 | 2.07 | 0.749 | 4.21 | 0.0127 | Ras |
| IL6 | 2.51 | 0.707 | 5.71 | 0.00244 | JAK-STAT, PI3K, transcriptional misregulation |
| CD19 | 2.62 | 0.764 | 6.13 | 0.00323 | PI3K |
Fig. 4NanoString PanCancer Pathways® analysis (n = 20). a Volcano plot showing differentially expressed genes with linear fold change > 2 and p < 0.05 comparing SD+PD and PR. b Decreased CDKN2A expression (p = 0.02) in responders. c Increased CALML5 expression (p = 0.01) in responders