This is a pilot "window of opportunity" clinical study in patients with operable breast cancer investigating use of reparixin as single agent in the time period between clinical diagnosis and surgery. The primary objectives of this study were: 1- to evaluate the effects of orally administered reparixin on CSCs in the primary tumor and the tumoral microenvironment in an early breast cancer population: A. CSC were measured in tissue samples by techniques that could include: ALDEFLUOR assay and assessment of CD44/CD24 by flow cytometry, or examination of RNA transcripts by RT-PCR, aldehyde dehydrogenase-1, CD44/CD24 and epithelial mesenchymal transition markers (Snail, Twist, Notch) by immunohistochemistry (IHC). CSC were defined as ALDEFLUOR positive (ALDH-1+) and/or CD44 high/CD24 low by flow cytometry or RT-PCR and IHC and by the detection of ALDH-1+ cells with or without epithelial mesenchymal transition (EMT) transcription factor in IHC assays. B. Serine-threonine protein kinase (AKT), focal adhesion kinase (FAK), phosphatase and tensin homolog (PTEN) and chemokine receptor-1 (CXCR1) levels were measured in tissue samples by IHC. C. Measurement of markers of inflammation (interleukin-1beta \[IL-1β\], interleukin-6 \[IL-6\], interleukin-8 \[IL-8\], tumor necrosis factor-alpha \[TNF-α\], granulocyte macrophage colony stimulating factor \[GM-CSF\], vascular endothelial growth factor \[VEGF\], basic fibroblast growth factor \[b-FGF\] and high-sensitivity C-reactive protein \[hsCRP\]) in plasma, leukocyte subsets (enumerate T subsets, B, and natural killer/natural killer T \[NK/NKT\] cells) and study polymorphonuclear leukocyte \[PMN\] biology in peripheral blood samples. D. Measurement of markers of angiogenesis (CD31 staining), tumor-infiltrating leukocytes (CD4, CD8, NK and macrophages), autophagy (P62 and LC3 by IHC), EpCAM and EMT markers (CD326, CD45, Twist1, SNAIL1, SLUG, ZEB1, FOXC2, TG2, Akt2, P13k and CK19 by RT-PCR) and tissue cellularity (residual disease characterization in tumor bed) in tumor tissue samples. 2\. To evaluate the safety of oral reparixin administered three times daily (t.i.d.) for 21 consecutive days. The secondary objective was to define the pharmacokinetic (PK) profile of orally administered reparixin.
According to the cancer stem cell (CSC) model, tumors are organized in a cellular hierarchy maintained by a subpopulation of cells displaying stem cell properties. These properties include self-renewal (which drives tumorigenesis) and differentiation (which generates the tumor bulk and contributes to cellular heterogeneity). CSCs were first observed in hematological malignancies but have also been identified in solid tumors of breast, prostate, brain, colon and pancreas. CSCs are thought to be resistant to conventional chemotherapies and this may be why relapse occurs in many patients and this might explain the failure to develop therapies that are consistently able to eradicate solid tumors. Although currently available drugs can shrink metastatic tumors, these effects are usually transient and often do not appreciably extend the life of patients. One reason for the failure of these treatments is the acquisition of drug resistance by the cancer cells as they evolve; another possibility is that existing therapies fail to kill CSCs effectively. Existing therapies have been developed largely against the bulk population of tumor cells because they are often identified by their ability to shrink tumors. Because most cancer cells have limited proliferative potential, an ability to shrink a tumor mainly reflects an ability to kill these cells. It seems that normal stem cells from various tissues tend to be more resistant to chemotherapeutics than mature cell types from the same tissues. The reasons for this are not clear, but may relate to high levels of expression of anti-apoptotic proteins or adenosine triphosphate-binding cassette transporters such as the multidrug resistance gene. If the same were true of CSCs, then one would predict that these cells would be more resistant to chemotherapeutics than tumor cells with limited proliferative potential. Even therapies that cause complete regression of tumors might spare enough CSCs to allow re-growth of the tumors. Therapies that are more specifically directed against CSCs might result in much more durable responses and even cures of metastatic tumors. There are limited data on the impact of treatment tailoring based on CSC detection. Gene profiling of CSCs could lead to identification of therapeutic targets on CSCs (e.g. hormone receptors (HR), human epidermal growth factor receptor-2 \[HER-2\] expression, epidermal growth factor receptor \[EGFR\] expression), and could represent tumor biopsy in "real time". Several groups showed frequent discordance of HER-2 status between primary tumor and CSCs, and case reports showed clinical utility for the use of trastuzumab-based therapy based on HER-2 CSCs status. Similarly, the hormonal status of CSCs could be different from that of the primary tumor, which could lead to increase the number of patients suitable for endocrine therapy, but also could explain why endocrine therapy fails in a subset of HR positive (HR+) patients. More specifically, a recent observation from Ginestier et al. demonstrated that over expression of chemokine receptor 1 (CXCR-1) is associated with the aldehyde dehydrogenase positive (ALDH+) cells. In breast carcinomas, the ALDEFLUOR+ phenotype shows partial overlap with the CD44+CD24-Lin-CSC phenotype. Cellular hierarchies have been identified in a series of molecularly characterized breast cancer cell lines and it has been demonstrated that these lines contained ALDEFLUOR+ components that were both tumorigenic and metastatic in NOD/SCID mice. Furthermore, previous observations demonstrated that the addition of recombinant interleukin-8 (IL-8) increased the CSC population as well as increasing its propensity for invasion. Moreover, tissue damage induced by chemotherapeutic agents may induce IL-8 as part of the injury response. This suggests that strategies aimed at interfering with the IL 8/CXCR-1 axis may be able to target CSCs, increasing the efficacy of current therapies. This experimental data provides another therapeutic target in breast cancer. Reparixin seems to be a good candidate for use in breast cancer patients because of its very acceptable toxicity profile shown in the Phase I and II clinical trials conducted so far, along with its observed activity in vitro against breast cancer cell lines and in vivo in tumor xenografts in mice. A phase 1 study is currently underway to study the effects of reparixin in combination with paclitaxel in metastatic breast cancer. This small pilot study aims at exploring the effects on breast CSC markers as well as the safety and PK profile of orally administered single agent reparixin in HER-2 negative (HER-2-) early breast cancer patients in the 3 weeks prior to surgery. The study will be performed in the interval between disease diagnosis and planned surgery and may lead to a minimal delay in surgery. This is balanced by the potential benefits of the study by evaluating CSCs and their prognostic importance as well as obtaining information about the impact of reparixin therapy.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
20
1000 mg Oral Reparixin t.i.d. for 21 consecutive days prior to surgery
Indiana University Simon Cancer Center
Indianapolis, Indiana, United States
University of Kansas Cancer Center, 4350 Shawnee Mission Pkwy, Suite 1500, Mailstop 6004
Fairway, Kansas, United States
The Cancer Institute of New Jersey
New Brunswick, New Jersey, United States
Weill Cornell Medical College
New York, New York, United States
Montefiore Medical Center, MMC Medical Park at Eastchester
The Bronx, New York, United States
Fox Chase Cancer Center
Philadelphia, Pennsylvania, United States
Magee-Womens Hospital
Pittsburgh, Pennsylvania, United States
Sara Cannon Research Institute
Nashville, Tennessee, United States
The Methodist Hospital Research Institute
Houston, Texas, United States
Change From Baseline to Day 21 in Markers of Cancer Stem Cells (CSCs) in the Primary Tumor and the Tumoral Microenvironment (ALDH1,CD44/CD24)
CSCs were measured in tissue samples by the following techniques: ALDH-1 by ALDEFLUOR and by immunohistochemistry (IHC); CD44/CD24 by flow cytometry or examination of RNA transcripts by RT-PCR and by immunohistochemistry (IHC); epithelial mesenchymal markers (Snail, Twist, Notch) by immunohistochemistry (IHC).
Time frame: At day 21
Change From Baseline-1 to Day 21-1 in Pathway Markers by IHC
Pathway markers (AKT, FAK, PTEN and CXCR1) were measured in tissue samples at the pre-study (Day -14 to 0) and Day 21 (or within 24 hours of last dose). For the evaluation of the stain extent, the following semi-quantitative score method (0 to 4) was used: 0, no positive cells; 1, 1-25%; 2, 26-50%; 3, 51-75%; and 4, 76-100%. Hence for this scale, the higher the values, the worse is the outcome. For the evaluation of the stain intensity, the following score method (0 to 3) was used: 0, negative; 1, weak; 2, moderate, 3; strong. Also for this scale, the higher the score, the worse the outcome. Serine-threonine protein kinase (AKT, also known as protein kinase B, PKB) Focal adhesion kinase (FAK) Chemokine receptor-1 (CXCR1)
Time frame: Day 21 (or last day of treatment)
Change From Baseline to Day 21 in Markers of Inflammation
Markers of inflammation (IL-1β, IL-6, IL-8, TNF-α, GM-CSF, VEGF, and b-FGF) were measured in plasma from peripheral blood. IL = interleukins TNF-α = tumor necrosis factor-alpha GM-CSF = macrophage colony stimulating factor VEGF = vascular endothelial growth factor b-FGF = basic fibroblast growth factor
Time frame: At Day 21
Change From Baseline-1 to Day 21-1 in Markers of Angiogenesis (CD31 Staining)
CD31 staining by IHC. For the evaluation of the stain extent, the following semi-quantitative score method (0 to 4) was used: 0, no positive cells; 1, 1-25%; 2, 26-50%; 3, 51-75%; and 4, 76-100%. Hence for this scale, the higher the values, the worse is the outcome. For the evaluation of the stain intensity, the following score method (0 to 3) was used: 0, negative; 1, weak; 2, moderate, 3; strong. Also for this scale, the higher the score, the worse the outcome. CD31 is a transmembrane glycoprotein, 130-140 kDa, also know as platelet-endothelium cell adhesion molecule (PECAM-1). CD31 is ligand for CD38 and plays a role in thrombosis and angiogenesis. CD31 is strongly expressed in endothelial cells and weakly expressed in megakaryocytes, platelets, occasional plasma cells, lymphocytes (espc. marginal zone B-cells, peripheral T-cells) and neutrophils.
Time frame: At day 21
Change From Baseline-1 to Day 21-1 in Markers of Autophagy (P62 and LC3B by IHC)
Autophagy is a lysosomal degradation and recycling process implicated in cancer progression and therapy resistance. Labeling of p62 serves as a useful marker for the induction of autophagy, clearance of protein aggregates, and the inhibition of autophagy. Labeling of LC3B serves to track the binding of p62 and subsequent recruitment of autophagosomes. For the evaluation of the extent, the following semi-quantitative score method (0 to 4) was used: 0, no positive cells; 1, 1-25%; 2, 26-50%; 3, 51-75%; and 4, 76-100%. Hence for this scale, the higher the values, the worse is the outcome. For the evaluation of the intensity, the following score method (0 to 3) was used: 0, negative; 1, weak; 2, moderate, 3; strong. Also for this scale, the higher the score, the worse the outcome.
Time frame: At day 21
Pharmacokinetics of Reparixin (DF1681Y, DF1681Y Unbound, DF2243Y, DF2188Y) - Cmax
Once absorbed, reparixin is highly protein bound. By comparing Cmax and AUC for unbound drug to that for total drug, only \< 0.1% to 0.2% of reparixin is available as unbound (free) drug. The intent of the PK outcomes was not to compare the results between the two cohorts; for this reason results for the PK outcomes are reported for the whole group of the treated patients. Cmax = Maximum plasma concentration obtained directly from the data without interpolation, expressed in concentration units
Time frame: At Days 1 (pre-first dose and 0.25, 0.5, 1, 2, 4, 6, 8h post dose) and 21(pre-first dose and 0.25, 0.5, 1, 2, 4, 6, 8h post dose)
Pharmacokinetics of Reparixin (DF1681Y, DF1681Y Unbound, DF2243Y, DF2188Y) - Tmax and T1/2
Once absorbed, reparixin is highly protein-bound. By comparing Cmax and AUC for unbound drug to that for total drug, only \< 0.1% to 0.2% of reparixin is available as unbound (free) drug. The intent of the PK outcomes was not to compare the results between the two cohorts; for this reason results for the PK outcomes are reported for the whole group of the treated patients. tmax = Time to reach the maximum plasma concentration obtained directly from the data without interpolation t1/2 = Terminal elimination half-life calculated as ln(2)/ lambda z; calculated only if the coefficient of determination R2 in lambda z estimation is at least 0.8.
Time frame: At Days 1 (pre-first dose and 0.25, 0.5, 1, 2, 4, 6, 8h post dose) and 21(pre-first dose and 0.25, 0.5, 1, 2, 4, 6, 8h post dose)
Pharmacokinetics of Reparixin (DF1681Y, DF1681Y Unbound, DF2243Y, DF2188Y) - AUC0-8, AUCinf, AUClast, AUCtau at Day 21,
The intent of the PK outcomes was not to compare the results between the two cohorts; for this reason results for the PK outcomes are reported for the whole group of the treated patients. AUC0-8 = The area under the plasma concentration-time curve from time 0 to 8 hours post-dose; AUClast = The area under the concentration-time curve from time 0 to last quantifiable concentration AUCtau = The area under the plasma concentration-time curve for dosing interval (dosing interval \[tau\] = 8 hours); AUCinf = The total area under the plasma concentration-time curve from time zero to time infinity; AUC0-inf = AUClast + Clast/lambda zeta, where Clast is the last observed concentration ≥ lower limit of quantitation at time tlast. All these parameters were calculated by the linear trapezoidal rule.
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Time frame: At Days 1 (pre-first dose and 0.25, 0.5, 1, 2, 4, 6, 8h post dose) and 21(pre-first dose and 0.25, 0.5, 1, 2, 4, 6, 8h post dose)
Pharmacokinetics of Reparixin (DF1681Y, DF1681Y Unbound, DF2243Y, DF2188Y) - CL/F (L/h) at Day 1, CLSS/F (L/h) Day 21)
The intent of the PK outcomes was not to compare the results between the two cohorts; for this reason results for the PK outcomes are reported for the whole group of the treated patients. CL/F = Apparent oral clearance - for DF1681Y only, calculated as dose/AUCinf.; calculated only when the coefficient of determination R2 in lambda zeta estimation is at least 0.8 and percent AUC extrapolation is less than or equal to 20%. CLss/F = Steady state apparent oral clearance - for DF1681Y only calculated as dose/AUCtau.
Time frame: At Days 1 (pre-first dose and 0.25, 0.5, 1, 2, 4, 6, 8h post dose) and 21(pre-first dose and 0.25, 0.5, 1, 2, 4, 6, 8h post dose)
Change From Baseline to Day 21 in Leukocytes Subsets
The Leukocytes subsets analyzed are the following: Lymphocyte in WBC, Total T cell in lymphocytes, B cells in lymphocytes, T-helper cell in lymphocytes, CTL in lymphocytes, NKT cell in lymphocytes, ADCC NK subsets in lymphocytes, Regulatory NK subsets in lymphocytes, Exhausted NK subsets in lymphocytes, CD56-CD16+ NK subsets in lymphocytes, CD11b in PMNs - IL-8, CD18 in PMNs - IL-8, MFI of CD11b - IL-8, MFI of CD66b - IL-8, MFI of CD18 - IL-8, CD11b in PMNs - US, CD18 in PMNs - US, MFI of CD11b - US, MFI of CD66b - US, MFI of CD18 - US, Percent Monocytes expressing IL6 - IL-8,Percent Monocytes expressing IL1b - IL-8, Percent Monocytes expressing IL8 - IL-8, Percent Monocytes expressing TNFa - IL-8, Percent Neutrophils expressing IL6 - IL-8, Percent Neutrophils expressing IL1b - IL-8, Percent Neutrophils expressing IL8 - IL-8, Percent Neutrophils expressing TNFa - IL-8,Percent Monocytes expressing IL6 - US,Percent Monocytes expressing IL1b - US, etc.
Time frame: At Day 21