Clinical features and outcomes of secondary somatic malignancy (SSM) arising from teratoma in late relapse germ cell tumor (GCT).
Bibliographic record
Abstract
518 Background: Late relapse (>2 years) GCT is associated with an increased rate of SSM. We report our experience with SSM in the setting of late relapse and determine predictors of overall survival (OS). Methods: From 1985 to 2018, 46 patients with GCT and SSM at late relapse were identified. Clinical and pathologic parameters were reviewed. The Kaplan-Meier method was used to estimate OS from time of relapse and a Cox proportional hazards model to assess predictors of OS. Results: Of 46 men (44 testicular primary, 2 mediastinal primary), median time to late relapse with SSM was 10.4 years (range, 2.3 - 38.1). Most (n=27, 59%) were symptomatic at presentation but 11 were detected by elevated tumor markers (AFP 8, HCG 2, both 1) and 8 by surveillance imaging. SSMs were adenocarcinoma (25), sarcoma (14), poorly differentiated neoplasm (3), Wilms (2), PNET (1) and glioma (1). Median time to relapse was longer for adenocarcinoma vs other histotypes of SSM (14.6 vs 4.1 years, p < 0.001). The initial site of relapse was the retroperitoneum (RP, 26), pelvis (7), lung (6), retrocrural space (3), mediastinum (2), neck (1) and duodenum (1). Only 10 of 26 men with late relapse in the RP had undergone prior RPLND (all at outside institutions; variable templates) with histology in 7/10 showing teratoma. The other 16 men had received chemotherapy only (8), orchiectomy only for stage I (3), RPLND aborted due to cardiac arrest (1), and unknown (4). All 46 late relapses were managed with surgical resection; 26 also received chemotherapy (16 SSM-directed, 10 GCT-directed). Overall, 12 patients died and the median OS was 14.2 years. On univariable analysis, symptomatic presentation (HR = 3.1), SSM at multiple sites (HR = 3.9), extra-RP disease (HR: 3.9), and incomplete/no resection of SSM (HR = 3.6) predicted mortality. On multivariable analysis, only extra-RP disease was independently associated with inferior OS (5-year OS, 82 vs 52%, p = 0.017). Conclusions: SSM is an important potential complication of late relapse GCT and seems to be associated with the lack of resection of retroperitoneal metastases. Early identification and complete surgical resection prior to SSM arising in extra-RP sites is critical to optimizing outcomes.
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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 | 0.001 | 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".