FGFR2 expression to predict survival outcome in patients with metastatic papillary renal cell carcinoma.
Bibliographic record
Abstract
506 Background: In our previous study we showed that fibroblast growth factor receptor 2 (FGFR2) mutations are rare across papillary types of renal cell carcinoma (pRCC). The aim of the present study is to test FGFR2 expression for association with survival outcome in the largest patient cohort to date. Methods: Formalin-fixed, paraffin-embedded specimens of removed primary tumors from 214 untreated metastatic pRCC patients were evaluated by immunohistochemistry with FGFR2 antibody (Santa Cruz Biotechnology). Expression was quantified by consensus of two independent observers using a four-value intensity score (0, 1+, 2+, and 3+) and the percentage (0-100%) of the extent of reactivity. Expression was scored according to the percentage of positive cells present among all tumor cells in the section. The cytoplasmic and nuclear expression score was obtained by multiplying the intensity and reactivity extension values (range, 0-300). FGFR2 expression was tested for associations with progression-free survival (PFS), overall survival (OS) and best objective response. Results: Expression of FGFR2 was observed in 23% (49/214) of primary pRCC, mostly in cytoplasm of tumor cells. 2 of 214 (1%) patients had nuclear FGFR2 expression. Intensity was 3+ in all cases. Expression of FGFR2 was significant lower in the normal tissue of kidney (1%, P=0.001). FGFR2 expression was strongly associated with a number of metastatic sites (2 and more metastatic sites vs. 0-1), type 2 of pRCC, lower nucleolar grade (P<0.001). FGFR2-positive patients had significantly shorter OS and PFS in first-line therapy (P<0.05; Table). On multivariate analysis, FGFR2 expression, MSKCC risk group, and type of pRCC were found to be independent predictors of survival. Conclusions: In this study, we described immunohistochemical expression of FGFR2 in a large series of pRCC specimens. FGFR2 expression was found to be prognostic factor for survival in patients with metastatic pRCC. Clinical trial information: rosoncoweb2011. [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 | 0.000 | 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".