VascFlux-GEO: Comparator selection and auditability in vascular transcriptome module prediction
Background: Mathematical coupling and comparator selection are established concerns when a transcriptome response is defined as follow-up minus baseline. We assessed whether apparent within-cohort improvement survives matched constant-follow-up and scalar-shrinkage controls, and whether specified evaluation faults are detectable in an auditable vascular transcriptome benchmark. Results: Using eight frozen modules, 72 rosuvastatin pairs, 14 peripheral artery disease pairs, 20 repeated subject-held-out five-fold partitions, and 5,000 subject bootstrap draws of fixed losses, we compared 15 explicit specifications. Supporting post hoc analyses included 800 known-truth training/test simulations, annotation and input-ablation sensitivities, complete-tuning integrity checks, and an independent-source cross-sectional artery description. In GSE86216, nested follow-up ridge had lower observed repeated-CV mean absolute error than mean follow-up, 0.3280 versus 0.3405 (difference 0.0126; descriptive central 95% percentile range 0.0033–0.0224), while scalar shrinkage had lower observed error (0.3256). These ranges have no validated coverage guarantee. No full-matrix advantage was established; equivalence was not tested. In peripheral artery disease, nested ridge (0.3449) had slightly higher observed MAE than the median follow-up comparator (0.3409), and no advantage was established. Simulations illustrated how mean follow-up can outperform mean change without temporal signal, while the GSE281841 histological stenosis-grade description remained limited by anatomical imbalance, unconfirmed participant identity and an unresolved sample-count discrepancy. Conclusions: These retrospective, nonconfirmatory comparisons show modestly lower observed within-cohort error than constant-follow-up controls in one cohort, without established full-matrix advantage. They do not partition prediction into mathematical, technical and biological components. Independent longitudinal validation and clinical utility remain unestablished.
Authors
- Li Shen (ORCID: https://orcid.org/0009-0001-2157-6880)
- Junbo Ge (ORCID: https://orcid.org/0009-0003-3442-4477)
- Lingsen You (ORCID: https://orcid.org/0000-0003-0794-5907)
- Zisu Peng
- Yujun Guo
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University (CN)
- Zhongshan Hospital (CN)
Publication Details
- Journal
- medRxiv
- Published
- 2026-10-28
- DOI
- https://doi.org/10.64898/2026.10.25.26366405
- Primary Topic
- Gene expression and cancer classification
- Type
- preprint
Funders
- National Natural Science Foundation of China
- Fudan University