Establishment and analysis of a novel miRNA prognostic risk model for bladder cancer based on TCGA database
Bibliographic record
Abstract
膀胱癌是最常见的泌尿道肿瘤，并且由于缺乏可靠的诊断标记物，大多数膀胱癌被诊断为晚期。本研究在TCGA数据库中分析了膀胱癌患者的转录组和临床数据，经过预处理后将其分为试验组和验证组。首先，通过单变量Cox回归分析确定与膀胱癌预后密切相关的miRNA，然后通过多变量Cox回归分析建立基于miRNA表达谱的预后风险模型。通过ROC分析确定患者分类风险水平的最佳分界点，并在验证组和整个组中通过Kaplan-Meier估计来验证预后风险评分类型。 从miRTarBase，targetScan和miRDB的三个miRNA库中至少选择了两个可能的靶基因，并进行了KEGG途径和GO富集分析。所有这些交叉基因都是通过PPI网络和生存分析构建的。最后，建立了5-miRNA（hsa-miR-338-5p，hsa-miR-218-1-3p，hsa-miR-17-3p，hsa-miR-6728-5p，hsa-miR-10a- 3p）已成功构建。多变量Cox分析显示，它具有良好的可预测性，可作为预测膀胱癌患者预后和生存的新生物标志物，并可通过IGF1发挥其生物学功能。
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".