Disease characteristics and survival outcomes of extragonadal primary germ cell tumour in two Canadian tertiary cancer centres
Bibliographic record
Abstract
INTRODUCTION: Extragonadal germ cell tumours (EGCTs) are a heterogeneous group with distinct natural history and responses to treatment modalities. We sought to evaluate characteristics and survival outcomes in men with EGCTs. METHODS: We performed a retrospective analysis on a consecutive list of men diagnosed with EGCT in two Albertan cancer centres between 1990 and 2013. Demographic characteristics and outcomes, stratified by primary site, were evaluated. RESULTS: Sixty-nine cases were identified. The median age was 29 (range 15-76) and 48 cases (70%) were non-seminomatous. Twenty-four (35%) belonged to International Germ Cell Cancer Collaborative Group (IGCCCG) favourable risk group, 14 (20%) to intermediate, and 31 (45%) to poor. Thirty (43%) had mediastinal primary (MPs); 29 were treated with first-line bleomycin, etopo-side, and cisplatin (BEP). Seventeen (57%) relapses occurred, of which three patients achieved long-term survival. Seventeen (25%) had a central nervous system (CNS) primary, with eight (47%) classic germinoma. Seven (41%) received primary chemotherapy alone; 5 (29%) received primary radiotherapy alone, and 5 (29%) received both. Nineteen (28%) had a retroperitoneal primary (RPs) and received first-line chemotherapy; all but two received BEP and eight (42%) had surgical resection. Three (5%) had other or unknown primary. Five-year overall survival (OS) and disease-free survival for all patients were 56% and 44%, respectively; for MPs, 44% and 34%; for CNS primary, 76% and 53%; for RPs, 58% and 53%. Factors that correlated with decreased OS were elevated alpha fetoprotein (AFP) (p<0.001) or human chorionic gonadotropin (HCG) (p=0.001), lactate dehydrogenase (LDH) levels (p=0.028), bone metastasis (p<0.001), lung metastasis (p<0.001), and IGCCCG poor risk (p=0.001). CONCLUSIONS: EGCT is a rare, but important subset of GCT. Patients with EGCTs, despite aggressive treatments, still have poorer outcomes than gonadal primary.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".