Randomized Phase II Study of Ramucirumab or Icrucumab in Combination with Capecitabine in Patients with Previously Treated Locally Advanced or Metastatic Breast Cancer
Bibliographic record
Abstract
BACKGROUND: Icrucumab (ICR) and ramucirumab (RAM) bind vascular endothelial growth factor (VEGF) receptors 1 and 2 (VEGFR-1 and -2), respectively. This open-label, randomized phase II study evaluated their efficacy and safety in combination with capecitabine (CAP) in patients with previously treated unresectable, locally advanced or metastatic breast cancer. METHODS: orally twice daily, days 1-14) alone or in combination with RAM (10 mg/kg intravenously [IV], days 1 and 8) (RAM + CAP) or ICR (12 mg/kg IV, days 1 and 8) (ICR + CAP) every 21 days. The primary endpoint was progression-free survival (PFS). Secondary endpoints included overall survival (OS), tumor response, safety, and pharmacokinetics. RESULTS: = .1550, ICR + CAP versus CAP). There was no statistically significant difference in PFS or OS between either combination arm and CAP. Treatment-related adverse events more frequent (by ≥10%) on RAM + CAP than on CAP were constipation, decreased appetite, headache, epistaxis, and hypertension. Those more frequent (by ≥10%) on ICR + CAP than CAP were anemia, increased lacrimation, periorbital edema, nausea, vomiting, peripheral edema, facial edema, dehydration, and dyspnea. CONCLUSION: 2017;22:245-254 IMPLICATIONS FOR PRACTICE: Icrucumab and ramucirumab are recombinant human IgG1 monoclonal antibodies that bind vascular endothelial growth factor (VEGF) receptors 1 and 2 (VEGFR-1 and -2), respectively. VEGFR-1 activation on endothelial and tumor cell surfaces increases tumor vascularization and growth and supports tumor growth via multiple mechanisms, including contributions to angiogenesis and direct promotion of cancer cell proliferation. Strong preclinical and clinical evidence suggests key roles for VEGF and angiogenesis in breast cancer growth, invasion, and metastasis. This randomized phase II study evaluated the efficacy and safety of each antibody in combination with capecitabine in patients with previously treated unresectable, locally advanced or metastatic breast cancer.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".