Mechanisms underlying the association between sarcopenia and poor oncologic outcomes in clear cell renal cell carcinoma.
Bibliographic record
Abstract
662 Background: Sarcopenia (low skeletal muscle mass) is associated with poor outcomes in patients with ccRCC. The mechanisms underlying this association are unclear. To understand this association, we examined gene expression differences by sarcopenic status in patients with ccRCC. Methods: The cohort consisted of 62 ccRCC patients treated by nephrectomy and previously transcriptomically-profiled in the Cancer Genome Atlas. Computed tomography scans without contrast performed within two months of surgery were reviewed to determine skeletal muscle cross-sectional area. Sarcopenia (yes/no) was defined according to gender-specific international consensus definitions. Baseline differences in clinicopathologic characteristics were assessed using the Chi-squared test for categorical and t-test for continuous variables. Differential expression analyses were performed using the R package “DESeq2.” Gene set enrichment analyses (GSEA) and single-set GSEA were used to evaluate differences in MSigDB Hallmark gene sets and estimate immune cell infiltration, respectively. P-values were corrected for multiple testing (p-adjust). Results: The cohort was predominantly male (82%), white (97%) and had localized disease (58%). Median age was 58.9 years (SD: 12.1). Sarcopenic (47%) patients were older (p < 0.001), obese (p < 0.001), and presented with higher AJCC stage (p = 0.006). In primary tumor specimens, sarcopenic patients demonstrated increased expression of angiogenic, inflammatory (e.g., IL-6, TNF-alpha), and epithelial mesenchymal transition programs (p-adjust < 0.05). Furthermore, sarcopenic patients had higher macrophage (p = 0.003) and Th17 immune cell infiltration (p = 0.003). Conclusions: Our findings suggest that ccRCC patients who are sarcopenic harbor gene expression programs associated with more aggressive biology. Increased macrophage infiltration and decreased Th17 immune cell infiltration have been previously associated with worse prognosis in ccRCC. It is not clear whether sarcopenia is a cause or consequence of tumor aggressiveness. Validation of these results in a larger cohort of patients and orthogonal validation are ongoing.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".