Evaluation of hyperprogression in patients with sarcoma treated with targeted therapy and/or immunotherapy in early-phase clinical trials.
Bibliographic record
Abstract
11560 Background: Hyper-progressive disease (HPD) is an adverse outcome with acceleration of tumor growth, often accompanied by clinical deterioration. This phenomenon is described with immunotherapy (IT) but its incidence in sarcoma and/or in the context of targeted therapy (TT) remains unknown. Tumor growth rate (TGR) allows for dynamic evaluation of tumor volume change over time and may complement RECIST. We evaluated HPD in sarcoma patients (pts) treated in early-phase trials by assessing TGR and describing their subsequent clinical outcomes. Methods: We retrospectively reviewed medical records from advanced soft tissue sarcoma (STS) pts enrolled in early phase trials at the Princess Margaret Cancer Centre between January 2012 and December 2022. TGR was calculated based on tumor measurements taken at pre-baseline, baseline, and on-treatment CT scans. We used the Champiat formula (Clin Cancer Res 2017) to calculate TGR ratio. Primary objective was to describe the incidence of HPD, defined as a TGR ratio of > 50%. Secondary objective was to investigate the correlation between HPD with progression-free survival (PFS) and overall survival (OS). Results: We identified a total of 192 pts involved in STS early phase trials from 2012-2022. Most common histology was leiomyosarcoma seen in 72 pts. Eighty-four pts (43.8%) received TT, 75 (39%) pts received IT-based, and the rest had combined TT/IT regimens (n = 33, 17.2%). The incidence of HPD was 6.8% (n = 13), including IT-based (n = 9) and non-IT-based (n = 4) regimens. HPD was associated with a worse PFS, and OS compared to non-HPD pts (median PFS 1.6m vs 4.6m HR: 5.5, 95%CI 2.8-10.6, P < 0.001; median OS 5.5 vs 16.1 months; HR: 3.7, 95%CI: 2.0-7.1, P < 0.001). On multivariable analysis, only IT was significantly associated with HPD (OR 3.9, 95%CI: 1.1-13, P = 0.021). There was no association between HPD and new lesions or sarcoma histology subtype. Conclusions: HPD occurs in a small subset of sarcoma patients undergoing clinical trials with TT or IT. Exploring TGR provides clinically meaningful data as it pertains to HPD as it predicts OS and PFS in sarcoma patients undergoing early-phase clinical trials.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".