Characterizing sites of metastatic involvement in metastatic clear-cell, papillary, and chromophobe renal cell carcinoma.
Bibliographic record
Abstract
5071 Background: There exists considerable biological and clinical variability between histologic variants of metastatic renal-cell carcinoma (mRCC). Data reporting on sites of metastatic involvement in less common histologies of mRCC are sparse. We sought to characterize the frequency of metastatic site involvement across the three most common histologies of mRCC: clear-cell (ccRCC), papillary (pRCC), and chromophobe (chrRCC). Methods: Using the International mRCC Database Consortium (IMDC) database, patients with mRCC starting systemic therapy between 2002-2019 were identified and sites of metastases at the time of systemic therapy initiation were documented. Patients with multiple sites of metastatic involvement were included in analyses of all groups to which they had metastases. The primary outcomes were prevalence of metastatic site involvement and overall survival (OS). Patients with mixed histology were excluded. Results: 10,105 patients were eligible for analysis. Median age at diagnosis was 60, 72% were male and 79% underwent nephrectomy. 92%, 7% and 2% of patients had ccRCC, pRCC, and chrRCC, respectively. Frequency of metastatic site involvement across the histologic subtypes is shown in Table. Lung, adrenal, brain and pancreatic metastases were more frequent in ccRCC, lymph node involvement was most frequent in pRCC, and liver metastases were most frequent in chrRCC. Median OS for ccRCC varied by site of metastatic involvement, ranging between 16 months (brain/pleura) and 50 months (pancreas). OS by site of metastatic involvement was compared between histologies for the four most common sites of metastases (lung, lymph nodes, bone, liver). As compared to patients with ccRCC, patients with pRCC had lower OS regardless of site of metastasis (p < 0.05). Power was limited and thus differences in OS between ccRCC and chrRCC were not detectable. Conclusions: Sites of metastatic involvement differ based on histology in mRCC. These data highlight the clinical and biologic variability between histologic subtypes of mRCC and constitute the largest cohorts of patients with metastatic pRCC and chrRCC to report on sites of metastases. Sites of Metastatic Involvement by Histology. [Table: see text]
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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 | 0.001 |
| 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".