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TerminatedNCT01861054Updated May 14, 2021Results posted

Pilot Study to Evaluate Safety & Biological Effects of Orally Administered Reparixin in Early Breast Cancer

A Phase 2 interventional study of Reparixin in Breast Cancer, sponsored by Dompé Farmaceutici S.p.A. Terminated at 9 sites in United States. Open to female participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2021-05-14.

Sponsored by Dompé Farmaceutici S.p.A · Phase 2, Interventional, and Treatment

Why this study was terminated
Enrollment target not reached
Phase
Phase 2
Study type
Interventional
Enrollment
20
Allocation
Not applicable
Ages
18 Years and older
Sex
Female
01

Study summary

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.

  1. 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.

Read the detailed description

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.

02

Conditions studied

  • Breast Cancer

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Keywords

  • Cancer Stem Cells
  • Novel targeted therapy
  • CXCR1/2 Inhibitors
03

In context

Breast Neoplasms

12,544 studies on the registry are indexed under Breast Neoplasms; 2,892 are open to participants now.

This study's enrollment of 20 is below the median of 72 across 9,303 interventional studies indexed under Breast Neoplasms.

Browse Breast Neoplasms studies →

Lead sponsor

Dompé Farmaceutici S.p.A is the lead sponsor of 51 studies on the registry; 4 are open to participants now.

Of its 18 completed or terminated interventional studies of FDA-regulated products, 18 (100%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
Female
Accepts healthy volunteers
No

Inclusion criteria

  • Female aged > 18 years.
  • Patients with operable breast cancer, with measurable tumors of more than 1 cm in diameter, that are not candidates for neoadjuvant therapy.
  • Zubrod (Eastern Co-operative Oncology Group [ECOG]) Performance Status (PS) of 0-1.
  • No prior treatment by surgery, radiotherapy, hormone therapy e.g. TAMOXIFEN® or RALOXIFEN® for prevention or chemotherapy.
  • Scheduled to undergo definitive local surgery for breast cancer.
  • Patients must be willing to undergo two mandatory tumor biopsies (pre and post therapy) that are not required for standard care. A sample of tumor tissue removed during surgery will also be collected for analysis.
  • Patients must be able to swallow and retain oral medication (intact tablet).
  • Able to undergo all screening assessments outlined in the protocol after giving informed consent.
  • Adequate organ function (defined by the following parameters):

    1. Serum creatinine \< 140 μmol/L or creatinine clearance > 60 mL/min.
    2. Serum hemoglobin > 9 g/dL; absolute neutrophil count > 1.5 x 109/L; platelets > 100 x 109/L.
    3. Serum bilirubin \< upper normal limit (UNL).
    4. Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST) ≤ UNL; alkaline phosphatase (ALP) ≤ UNL; albumin within normal limits.
  • Documented hormone receptor (ER and progesterone receptor) and HER-2- status.
  • No known hepatitis B virus (unless due to immunization), hepatitis C virus, human immune deficiency virus-I and II positive status.

Exclusion criteria

Exclusion Criteria:

  • Male.
  • Pregnancy or lactation or unwillingness to use two adequate methods of birth control throughout the study and for 30 days after study discontinuation.
  • Any other breast cancer types including inflammatory form.
  • Prior surgery to the breast area or primary axillary dissection.
  • Prior treatment for breast cancer.
  • Use of an investigational drug within 30 days preceding the first dose of study medication.
  • Any prior or current cancer, except in situ uterine carcinoma or basocellular cutaneous cancer considered as definitively cured.
  • Any associated medical condition considered incompatible with the study, e.g. cardiac, renal, medullar, respiratory or hepatic insufficiency.
  • Neurological or psychiatric disorders which may influence understanding of study and informed consent procedures.
  • Active or uncontrolled infection.
  • Malabsorption syndrome, disease significantly affecting gastrointestinal function.
  • Hypersensitivity to:

    1. ibuprofen or to more than one non-steroidal anti-inflammatory drug;
    2. medications belonging to the class of sulfonamides, such as sulfamethazine, sulfamethoxazole, sulfasalazine, nimesulide or celecoxib.
05

Study design

Phase
Phase 2
Primary purpose
Treatment
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
20 participants (actual)

Study arms

  • Experimental
    Treated patients - Total

    Patients eligible will be treated with Reparixin as add-in monotherapy

    Drug: Reparixin

Interventions

  • DrugReparixin

    1000 mg Oral Reparixin t.i.d. for 21 consecutive days prior to surgery

    Also known as: REP

06

What researchers measure

Primary outcomes

  1. 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

  2. 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)

  3. 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

  4. 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

  5. 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

Secondary outcomes

  1. 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)

  2. 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)

  3. 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.

    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)

  4. 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)

  5. 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

07

Results

Posted Mar 25, 2021

Participant flow

Patients recruitment: before initiating a study, the Investigator was required to have written and dated approval from the Institutional Review Board (IRB)/Independent Ethics Committee (IEC) for the study protocol, written informed consent form (ICF), consent form updates, subject recruitment procedures (e.g., advertisements), and any other written information to be provided to subjects.

Participant flow — Overall Study
MilestoneER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-
Started182
Safety population182
Pk population42
Completed182
Not completed00

Outcome measures

PrimaryChange 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
Reported as:
Mean · percentage of cells
Change From Baseline to Day 21 in Markers of Cancer Stem Cells (CSCs) in the Primary Tumor and the Tumoral Microenvironment (ALDH1,CD44/CD24)
percentage of cellsER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-
ALDH+1.34 ± 2.737-0.40 ± 1.131
CD44+/CD24--0.57 ± 5.6170.20 ± 1.273
Statistical analysis
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.3149 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.8148 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
PrimaryChange 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)
Reported as:
Median · score on a scale
Change From Baseline-1 to Day 21-1 in Pathway Markers by IHC
score on a scaleER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-
Stain Phospho-AKT Extent0 (-1 to 2)0 (0 to 0)
Stain Phospho-AKT Intensity0 (-1 to 1)0 (0 to 0)
Stain AKT Extent0 (-4 to 1)1.0 (1 to 1)
Stain AKT Intensity-0.5 (-3 to 2)0 (0 to 0)
Phospho-FAK Extent0 (-1 to 2)0 (0 to 0)
Phospho-FAK Intensity0 (-1 to 2)-1.0 (-1 to -1)
Stain FAK Extent0 (-2 to 1)1.0 (1 to 1)
Stain FAK Intens0 (-2 to 2)0 (0 to 0)
Stain C-PTEN Extent0 (-4 to 2)0 (0 to 0)
Stain C-PTEN Intensity0 (-2 to 1)0 (0 to 0)
Stain D-PTEN Extent0 (-4 to 2)0 (0 to 0)
Stain D-PTEN Intensity0 (-2 to 1)0 (0 to 0)
Stain CXCR1 Extent0 (-4 to 1)1.0 (1 to 1)
Stain CXCR1 Intensity-0.5 (-3 to 1)1.0 (1 to 1)
Statistical analysis
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = >0.9999
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = >0.9999
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.2245
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.5785
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = >0.9999
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.3139
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.2120
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = >0.9999
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = >0.9999
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.8728
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = >0.9999
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.8728
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.2265
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.2403
PrimaryChange 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
Reported as:
Mean · pg/ML
Change From Baseline to Day 21 in Markers of Inflammation
pg/MLER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-
Interleukin 1 Beta7.019 ± 30.31180 ± 0.000
Interleukin 69.593 ± 39.27330 ± 0
Interleukin 8-25.874 ± 134.321329.320 ± 41.6910
TNFα2.669 ± 8.0313-0.890 ± 3.5780
GM-CSF-2.678 ± 8.21548.705 ± 12.3107
VEGF253.584 ± 1120.612527.635 ± 39.0818
b-FGF20.164 ± 93.4614-9.750 ± 13.7886
Statistical analysis
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = >0.9999 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.6945 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.9448 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.6292 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.2354 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = >0.9999 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.4719 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
PrimaryChange 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
Reported as:
Median · score on a scale
Change From Baseline-1 to Day 21-1 in Markers of Angiogenesis (CD31 Staining)
score on a scaleER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-
Stain CD31 Extent0 (-2 to 1)1.0 (1 to 1)
Stain CD31 Intensity0 (-1 to 1)1.0 (1 to 1)
Statistical analysis
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.0951
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.1643
PrimaryChange 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
Reported as:
Median · score on a scale
Change From Baseline-1 to Day 21-1 in Markers of Autophagy (P62 and LC3B by IHC)
score on a scaleER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-
Stain P62 Extent-1.0 (-3 to 1)0 (0 to 0)
Stain P62 Intensity0 (-2 to 0)-1.0 (-1 to -1)
Statistical analysis
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.4183
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · Wilcoxon (Mann-Whitney) · p = 0.3702
SecondaryPharmacokinetics 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)
Reported as:
Mean · micrograms/mL
Pharmacokinetics of Reparixin (DF1681Y, DF1681Y Unbound, DF2243Y, DF2188Y) - Cmax
micrograms/mLTreated Patients - Total
Day1 - DF1681Y62.925 ± 31.5024
Day21 - DF1681Y63.927 ± 15.7616
Day1 - DF1681Y unbound145.167 ± 116.6114
Day21 - DF1681Y unbound136.552 ± 104.8681
Day 1 - DF2243Y15.788 ± 2.5240
Day 21 - DF2243Y20.812 ± 9.9776
Day 1 - DF2188Y7.302 ± 1.5129
Day 21 - DF2188Y10.367 ± 4.3439
SecondaryPharmacokinetics 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)
Reported as:
Mean · hours
Pharmacokinetics of Reparixin (DF1681Y, DF1681Y Unbound, DF2243Y, DF2188Y) - Tmax and T1/2
hoursTreated Patients - Total
Day1 - DF1681Y tmax2.667 ± 2.8752
Day21 - DF1681Y tmax0.997 ± 0.5508
Day1 - DF1681Y unbound tmax1.583 ± 1.2813
Day21 - DF1681Y unbound tmax1.092 ± 0.4903
Day 1 - DF2243Y tmax4.333 ± 2.3381
Day 21 - DF2243Y tmax2.331 ± 0.8179
Day 1 - DF2188Y tmax2.500 ± 1.2247
Day 21 - DF2188Y tmax1.508 ± 0.5389
Day1 - DF1681Y t1/22.090 ± 0.9847
Day21 - DF1681Y t1/21.626 ± 0.4068
Day1 - DF1681Y unbound t1/21.403 ± 0.4592
Day21 - DF1681Y unbound t1/20.989 ± 0.1683
Day 1 - DF2243Y t1/21.913 ± 0.3268
Day 21 - DF2243Y t1/22.575 ± 0.6442
Day 1 - DF2188Y t1/22.035 ± 1.0618
Day 21 - DF2188Y t1/21.575 ± 0.1953
SecondaryPharmacokinetics 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.

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)
Reported as:
Mean · h*μg/mL
Pharmacokinetics of Reparixin (DF1681Y, DF1681Y Unbound, DF2243Y, DF2188Y) - AUC0-8, AUCinf, AUClast, AUCtau at Day 21,
h*μg/mLTreated Patients - Total
DF1681Y - AUC0-8 - Day 1189.357 ± 60.2362
DF1681Y - AUC0-8 - Day 21174.303 ± 29.8012
DF1681Y unbound- AUC0-8 - Day 1222.602 ± 128.0328
DF1681Y unbound- AUC0-8 - Day 21233.382 ± 166.0402
DF2243Y - AUC0-8 - Day 178.469 ± 18.8116
DF2243Y - AUC0-8 - Day 21105.001 ± 58.2634
DF2188Y - AUC0-8 - Day 131.040 ± 7.9369
DF2188Y - AUC0-8 - Day 2133.395 ± 13.2129
DF1681Y - AUCinf - Day 1211.243 ± 71.4823
DF1681Y - AUCinf - Day 21182.479 ± 36.1551
DF1681Y unbound - AUCinf - Day 1235.152 ± 180.1547
DF1681Y unbound - AUCinf - Day 21234.547 ± 166.3017
DF2243Y - AUCinf - Day 171.297 ± 25.6857
DF2243Y - AUCinf - Day 21129.275 ± 74.5406
DF2188Y - AUCinf - Day 131.669 ± 11.2792
DF2188Y - AUCinf - Day 2135.092 ± 13.9473
DF1681Y - AUClast - Day 1189.319 ± 60.2817
DF1681Y - AUClast - Day 21172.296 ± 28.1847
DF1681Y unbound - AUClast - Day 1222.078 ± 128.1305
DF1681Y unbound - AUClast - Day 21231.235 ± 167.0377
DF2243Y - AUClast - Day 176.821 ± 17.3033
DF2243Y - AUClast - Day 2197.360 ± 46.6809
DF2188Y - AUClast - Day 131.028 ± 7.9336
DF2188Y - AUClast - Day 2135.433 ± 12.8434
DF1681Y - AUCtau - Day 21174.303 ± 29.8012
DF1681Y unbound - AUCtau - Day 21233.382 ± 166.0402
DF2243Y - AUCtau - Day 21105.001 ± 58.2634
DF2188Y - AUCtau - Day 2133.395 ± 13.2129
SecondaryPharmacokinetics 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)
Reported as:
Mean · L/h
Pharmacokinetics of Reparixin (DF1681Y, DF1681Y Unbound, DF2243Y, DF2188Y) - CL/F (L/h) at Day 1, CLSS/F (L/h) Day 21)
L/hTreated Patients - Total
DF1681Y - CL/F - Day 15.173 ± 1.7466
DF1681Y - CLSS/F - Day 215.866 ± 0.9086
DF1681Y unbound - CL/F - Day 17156.189 ± 6334.8463
DF1681Y unbound - CLSS/F - Day 215604.781 ± 2335.8016
SecondaryChange 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
Reported as:
Mean · percent of total
Change From Baseline to Day 21 in Leukocytes Subsets
percent of totalER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-
Lymphocyte in WBC-2.51 ± 9.099-3.70 ± NA
Total T cell in lymphocytes1.28 ± 4.602-2.80 ± NA
B cell in lymphocytes2.678 ± 7.556543.190 ± NA
T-helper cell in lymphocytes-1.44 ± 5.158-24.90 ± NA
CTL in lymphocytes-0.639 ± 5.5106-24.100 ± NA
NKT cell in lymphocytes0.510 ± 1.57590.140 ± NA
ADCC NK subsets in lymphocytes0.727 ± 4.17871.430 ± NA
Regulatory NK subsets in lymphocytes-1.358 ± 3.24650.370 ± NA
Exhausted NK subsets in lymphocytes-0.177 ± 1.7006-0.170 ± NA
CD56-CD16+ NK subsets in lymphocytes0.708 ± 1.67720.310 ± NA
CD11b in PMNs - IL-8-1.48 ± 4.877-11.60 ± NA
CD18 in PMNs - IL-8-0.23 ± 4.1042.10 ± NA
MFI of CD11b - IL-8-1.63 ± 2.2053.50 ± NA
MFI of CD66b - IL-8-3.9 ± 507.79-929.0 ± NA
MFI of CD18 - IL-8-13.0 ± 495.8971.0 ± NA
CD11b in PMNs - US1.56 ± 9.515-4.20 ± NA
CD18 in PMNs - US-5.758 ± 23.7696-0.400 ± NA
MFI of CD11b - US-0.84 ± 1.571-0.30 ± NA
MFI of CD66b - US35.1 ± 536.54-757.0 ± NA
MFI of CD18 - US-105.64 ± 679.547-47.00 ± NA
Percent Monocytes expressing IL6 - IL-88.40590 ± 27.6543260.52600 ± NA
Percent Monocytes expressing IL1b - IL-88.27479 ± 24.3645030.32600 ± NA
Percent Monocytes expressing IL8 - IL-8-0.35947 ± 3.983235-0.04400 ± NA
Percent Monocytes expressing TNFa - IL-80.40504 ± 1.906309-0.39900 ± NA
Percent Neutrophils expressing IL6 - IL-82.83019 ± 26.1458430.36340 ± NA
Percent Neutrophils expressing IL1b - IL-810.24530 ± 32.0680810.33400 ± NA
Percent Neutrophils expressing IL8 - IL-80.04596 ± 1.6670000.05742 ± NA
Percent Neutrophils expressing TNFa - IL-80.35635 ± 2.2690230.03500 ± NA
Percent Monocytes expressing IL6 - US9.77675 ± 29.7054470.26500 ± NA
Percent Monocytes expressing IL1b - US5.58031 ± 28.8629401.03400 ± NA
Percent Monocytes expressing IL8 - US0.14087 ± 2.716051-0.27600 ± NA
Percent Monocytes expressing TNFa - US-0.11532 ± 1.3334060.28200 ± NA
Percent Neutrophils expressing IL6 - US5.50297 ± 21.9322740.59260 ± NA
Percent Neutrophils expressing IL1b - US9.28329 ± 33.7544371.36450 ± NA
Percent Neutrophils expressing IL8 - US0.45567 ± 2.0539900.15020 ± NA
Percent Neutrophils expressing TNFa - US0.46929 ± 2.8762000.54910 ± NA
Percent Monocytes expressing IL6 - LPS-0.23 ± 8.015-9.60 ± NA
Percent Monocytes expressing IL1b - LPS-5.18 ± 18.23727.80 ± NA
Percent Monocytes expressing IL8 - LPS-4.2057 ± 21.72201-74.3700 ± NA
Percent Monocytes expressing TNFa - LPS-3.145 ± 8.8075-56.400 ± NA
Percent Neutrophils expressing IL6 - LPS-2.0310 ± 4.6085772.3690 ± NA
Percent Neutrophils expressing IL1b - LPS-1.68086 ± 5.47011478.19200 ± NA
Percent Neutrophils expressing IL8 - LPS0.14986 ± 1.8446871.18700 ± NA
Percent Neutrophils expressing TNFa - LPS0.1497 ± 1.975371.7720 ± NA
Percent Monocytes expressing IL6 - LPS+IL-8-3.42 ± 6.7831.20 ± NA
Percent Monocytes expressing IL1b - LPS+IL-8-4.79 ± 14.16825.90 ± NA
Percent Monocytes expressing IL8 - LPS+IL-8-7.738 ± 12.9421-76.990 ± NA
Percent Monocytes expressing TNFa - LPS+IL-8-0.3018 ± 9.97119-57.9100 ± NA
Percent Neutrophils expressing IL6 - LPS+IL-81.2629 ± 20.7748462.7900 ± NA
Percent Neutrophils expressing IL1b - LPS+IL-80.1980 ± 27.9630081.6290 ± NA
Percent Neutrophils expressing IL8 - LPS+IL-80.0348 ± 1.815831.0010 ± NA
Percent Neutrophils expressing TNFa - LPS+IL-8-0.0349 ± 1.753082.6490 ± NA
Percent FITC eColi Control4.327 ± 7.7795-8.500 ± NA
Percent FITC eColi Test-1.056 ± 3.6456-4.200 ± NA
Percent PMNs unstimulated-5.025 ± 16.355428.690 ± NA
Percent PMNs fMLP9.152 ± 18.209223.300 ± NA
Percent L-selectin unstimulated4.341 ± 25.8071-25.000 ± NA
Percent L-selectin fMLP-0.2845 ± 0.95877-0.2460 ± NA
Statistical analysis
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.6168 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.6168 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1453 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1453 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1453 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = >0.9999 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.7634 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.5487 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = >0.9999 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = >0.9999 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1451 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2779 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1444 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1453 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.9200 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2779 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.6164 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = >0.9999 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2032 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = >0.9999 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.5250 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.6706 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.8312 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.3992 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2952 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.3992 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2952 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.5250 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.3992 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2952 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = >0.9999 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.3992 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.3992 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2952 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.3992 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2952 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2238 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2238 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1543 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1547 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1547 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1547 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.4314 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.3153 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.4700 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1605 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1605 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1605 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1547 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1547 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.3153 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1543 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1601 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.2368 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.1605 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.4700 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.3392 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)
  • ER+ and/or PR+/ HER-2 - vs ER-/PR-/HER-2- · t-test, 2 sided · p = 0.8080 (P-Value is based on two-sample t-test or Wilcoxon Rank-Sum test, where appropriate, comparing the 2 study groups.)

Adverse events

Collected over throughout the study and at OTV (off treatment visit) up to the 30 days after the last dose of reparixin. Non-serious events are listed at a 5% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Total0/20 (0%)1/20 (5%)15/20 (75%)
Most frequent serious events
Most frequent serious events
EventTotal
POSTOPERATIVE WOUND INFECTIONInfections and infestations1/20
Most frequent other events
Showing 10 of 43
Most frequent other events
EventTotal
FatigueGeneral disorders8/20
NauseaGastrointestinal disorders5/20
Procedural painInjury, poisoning and procedural complications5/20
HeadacheNervous system disorders3/20
InsomniaPsychiatric disorders3/20
Abdominal painGastrointestinal disorders2/20
ConstipationGastrointestinal disorders2/20
FlatulenceGastrointestinal disorders2/20
VomitingGastrointestinal disorders2/20
PainGeneral disorders2/20

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)ER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-Total
<=18 years000
Between 18 and 65 years16117
>=65 years213
Age, Continuous
Age, Continuous(years)ER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-Total
Mean54.0 ± 8.9256.5 ± 12.0254.3 ± 8.91
Sex: Female, Male
Sex: Female, Male(Participants)ER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-Total
Female18220
Male000
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)ER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-Total
Hispanic or Latino606
Not Hispanic or Latino12214
Unknown or Not Reported000
Race (NIH/OMB)
Race (NIH/OMB)(Participants)ER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-Total
American Indian or Alaska Native000
Asian101
Native Hawaiian or Other Pacific Islander000
Black or African American101
White15217
More than one race101
Unknown or Not Reported000
Region of Enrollment
Region of Enrollment(participants)ER+ and/or PR+/ HER-2 -ER-/PR-/HER-2-Total
United States18220
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Study locations

9 sites
  • Indiana University Simon Cancer Center
    Indianapolis, Indiana 46202-5289, United States
  • University of Kansas Cancer Center, 4350 Shawnee Mission Pkwy, Suite 1500, Mailstop 6004
    Fairway, Kansas 66205, United States
  • The Cancer Institute of New Jersey
    New Brunswick, New Jersey 08903, United States
  • Montefiore Medical Center, MMC Medical Park at Eastchester
    Bronx, New York 10461, United States
  • Weill Cornell Medical College
    New York, New York 10065, United States
  • Fox Chase Cancer Center
    Philadelphia, Pennsylvania 19111, United States
  • Magee-Womens Hospital
    Pittsburgh, Pennsylvania 15213, United States
  • Sara Cannon Research Institute
    Nashville, Tennessee 37203, United States
  • The Methodist Hospital Research Institute
    Houston, Texas 77030, United States
09

References and documents

Publications

  • Goldstein LJ, Mansutti M, Levy C, Chang JC, Henry S, Fernandez-Perez I, Prausova J, Staroslawska E, Viale G, Butler B, McCanna S, Ruffini PA, Wicha MS, Schott AF; fRida Trial Investigators. A randomized, placebo-controlled phase 2 study of paclitaxel in combination with reparixin compared to paclitaxel alone as front-line therapy for metastatic triple-negative breast cancer (fRida). Breast Cancer Res Treat. 2021 Nov;190(2):265-275. doi: 10.1007/s10549-021-06367-5. Epub 2021 Sep 3. PubMed 34476645 ↗
  • Goldstein LJ, Perez RP, Yardley D, Han LK, Reuben JM, Gao H, McCanna S, Butler B, Ruffini PA, Liu Y, Rosato RR, Chang JC. A window-of-opportunity trial of the CXCR1/2 inhibitor reparixin in operable HER-2-negative breast cancer. Breast Cancer Res. 2020 Jan 10;22(1):4. doi: 10.1186/s13058-019-1243-8. Erratum In: Breast Cancer Res. 2020 May 20;22(1):52. doi: 10.1186/s13058-020-01294-7. PubMed 31924241 ↗

Individual participant data

Plan to share: No

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 14, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT01861054
Lead sponsor
Dompé Farmaceutici S.p.A
Responsible party
Sponsor
First posted
May 23, 2013
Start date
Feb 2013
Primary completion
Mar 2015
Completion
Mar 1, 2016
Results posted
Mar 25, 2021
Last update
May 14, 2021

Study contacts

Lori J Goldstein, MD, PhD
principal investigator · Fox Chase Cancer Center

Oversight

Data monitoring committee
Yes
View the source record on ClinicalTrials.gov ↗

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