Chemotherapy is of Value in Second Line and Beyond, Relapsed High-grade, Serous Epithelial Ovarian Cancer
Bibliographic record
Abstract
BACKGROUND: Epithelial ovarian cancer is chemotherapy responsive, and multiple lines of chemotherapy are often given. However, there are few data with regard to its effectiveness in later lines. Our aim was to assess its benefit in the high-grade, serous subtype relative to the line of therapy, using etoposide as the example. METHODS: Women treated with oral etoposide at the British Columbia Cancer Agency upon recurrence/progression in the years 2000 to 2010 were reviewed. Kaplan-Meier and Cox regression methods were used to correlate line of therapy with overall survival, progression-free survival, and interval between etoposide initiation and next progression or death (EPFS). RESULTS: A total of 219 women, median age 61, received etoposide as second (17%), third (30%), fourth (26%), fifth (17%), and sixth to eighth (11%) lines of therapy. The median number of cycles was 2 to 4. Patients who received etoposide as fourth-line to eighth-line treatment had a significantly longer median overall survival and initial progression-free survival (from diagnosis to first relapse) when compared with those who received it as second-line to third-line treatment (47.8 vs. 25.8 mo, P<0.0001; and 16.1 vs. 12.1 mo, P<0.0001, respectively); that is, a selected population of survivors received it later in the course of their disease. On univariate analysis, there was no significant difference in median EPFS (range, 2 to 2.9 mo) on the basis of line of therapy. On multivariate analysis, the hazard ratios improved through the third, fourth, and fifth lines (hazard ratios: 0.82, 0.77, and 0.34, respectively), and was statistically significant in the fifth line. The a priori-defined endpoint of clinical benefit was the "percentage not progressing at 3 months," and this was achieved in 32% to 48%. CONCLUSIONS: In this retrospective study, a similar degree of benefit from etoposide, as defined by the percentage remaining progression free at 3 months, was seen in all lines of therapy.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".