Clinical outcome of sequential chemotherapy after immune checkpoint inhibitors in advanced ovarian cancer.
Bibliographic record
Abstract
5580 Background: Immunomodulation through check point inhibition is an important treatment strategy in many cancers. In ovarian cancer (OC) response rates with immune checkpoint inhibitors (ICI) alone are around 10%. Chemotherapy antitumoural effect is driven by cytotoxicity and immunomodulatory effect. ICI treatment reduces tumour induced immune-tolerance improving immunocompetence, essential for chemotherapy effect. We chose to investigate clinical outcomes of chemotherapy post ICI in women with OC. Methods: The Tumor Immunotherapy Program (TIP) database at the Princess Margaret Cancer Centre identified patients with OC treated with chemotherapy after ICI from 2011 to 2018. Evaluation of clinical outcomes including response rate (RR), progression free survival (PFS) and overall survival (OS) was assessed for pre ICI, ICI and post ICI. Results: 40 women with OC were treated with chemotherapy after ICI. 90% had high grade serous histology, 7.5% carcinosarcoma and 2.5% low grade serous. Median number of pre ICI treatment lines was 3 (1-8) and 2 (1-6) in the post ICI setting. Median time of ICI initiation from diagnosis was 3 years. At ICI all patients had PS 0-1 and treated in clinical trials. 2% of the patients had platinum refractory disease, 88% had platinum resistant disease and 10% platinum sensitive disease. 50% were treated with ICI single agent, 16% were treated with ICI combined with chemotherapy, 14% ICI combo and 17% ICI in combination with other agents. Patients were treated for a median of 3 cycles (1-26). 8% experienced PR, 18% SD, no CR were seen. 67% of the patients discontinued treatment due to PD, 25% due to toxicity. Last treatment in pre ICI RR was 35%. First treatment in post ICI RR was 30%. RR for each treatment used in post ICI was 9% for liposomal doxorubicin, 25% for single agent platinum, 29% for weekly paclitaxel and 67% for chemotherapy with bevacizumab. Median PFS in the last pre ICI treatment was 6.5m and 5m in the first post ICI treatment. Median PFS and OS for all the population was 53m and 54m respectively. Conclusions: ICI are associated with modest activity in OC, planned clinical trials exploring systematic sequential therapy integrating ICI, targeted agents and chemotherapy are needed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".