Polymorphisms and Clinical Outcome in Recurrent Ovarian Cancer Treated with Cyclophosphamide and Bevacizumab
Bibliographic record
Abstract
PURPOSE: This study was designed to evaluate the associations between angiogenesis gene polymorphisms and clinical outcome in ovarian cancer patients treated with low-dose cyclophosphamide and bevacizumab. EXPERIMENTAL DESIGN: Seventy recurrent/metastatic epithelial ovarian cancer patients were enrolled in a phase II clinical trial. Genomic DNA was available from 53 blood samples. Polymorphisms were analyzed using the PCR-RFLP protocol. A 5' end 33P gammaATP-labeled PCR protocol was used to analyze dinucleotide repeats. RESULTS: Patients genotyped A/A or A/T for the IL-8 T-251A gene polymorphism had a statistically significant lower response rate (19%; 0%) than those homozygous T/T (50%; P = 0.006, Fisher's exact test). Patients carrying a minimum one C allele (C/C; C/T) of the CXCR2 C+785T polymorphism showed a median progression-free survival (PFS) of 7.4 months compared with the PFS of 3.7 months for those homozygous T/T (P = 0.026, log-rank test). Patients with the VEGF C+936T polymorphism C/T genotype had a longer median PFS of 11.8 months, compared with those with the C/C and T/T genotype, which had median PFS of 5.5 months and 3.2 months, respectively (P = 0.061, log-rank test). Patients carrying both AM 3'end alleles < 14 CA repeats had the shortest median PFS of 3.4 months; patients with at least one allele > 14 repeats or both alleles > 14 repeats showed a median PFS of 6.4 months and 7.2 months, respectively (P = 0.008, log-rank test). CONCLUSION: Our data suggest that the IL-8 A-251T polymorphism may be a molecular predictor of response to bevacizumab-based chemotherapy. The CXCR2 C+785T, VEGF C+936T single nucleotide polymorphisms and the AM 3' dinucleotide repeat polymorphisms may be molecular markers for PFS in ovarian cancer patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".