Study · Endometrial regulons
Robustness and cross-cohort concordance of developmental regulons in endometrial carcinoma
Prespecified TCGA-UCEC discovery with CPTAC-UCEC external evaluation, target-deletion robustness and clinical sensitivity analyses.
Abstract
This study asks whether the molecular classes of endometrial carcinoma differ in developmental regulatory programmes while keeping association, target-set robustness and cross-cohort transportability as separate claims.
A fetal Müllerian epithelial module and 20 prespecified developmental transcription-factor regulons were evaluated in TCGA-UCEC. Six signals then underwent external evaluation in two independent CPTAC-UCEC strata, together with deletion, purity, molecular-subtype, grade and histology sensitivity analyses.
Two regulons hold their prespecified direction in an independent cohort. None is presented as a validated biomarker.
01 · Effect estimates
Cross-cohort forest plot
Study overview
Six prespecified target regulons, evaluated without a composite score.
Audit
Change one documented analytical decision and inspect the effect on the published evidence.
Purity adjustment
The switch changes the fitted model shown as the current result. Both estimates were computed in the pinned GitHub release.
- No purity minus primary
- +0.014
- Direction
- Preserved
- |d| ≥ 0.50
- Unchanged
- CI includes zero
- Unchanged
Source: six-target GitHub result table.
Remove one gene
Each option is a completed leave-one-out analysis from the GitHub deletion ledger. The most disruptive deletion is listed first.
- Change in d
- +0.058
- Direction
- Preserved
- |d| ≥ 0.50
- Falls below
- Rows tested
- 75
Source: gene leave-one-out GitHub ledger.
Effect floor
- Targets clearing floor
- 6/6
- Published floor
- 0.50
- Current floor
- 0.50
- Model
- TCGA primary
The floor changes the decision gate only. Effect estimates are unchanged.
External cohort
- Direction
- Concordant
- CI includes zero
- No
- Sample
- n=95
- Change in d
- −0.136
Source: CPTAC per-stratum effects and fixed-effect meta-analysis.
Clinical adjustment
- Change in d
- −0.004
- Attenuation
- -0.7%
- Direction
- Preserved
- Sample
- n=505
Available for the published GATA2 and SOX9 grade and histology analyses.
Six canonical targets
No ranking or composite score is used. Every verdict is derived from the pinned GitHub result tables.
02 · Separated evidence dimensions
Evidence map
Association, target-set robustness and transportability remain separate. No composite score is calculated.
GATA2C2 Meets locked criteriaCAT2 DEPLETION No universal creditNo universal deletion credit Direction supportedExternally replicated direction
SOX9C2 Meets locked criteriaCAT2 DEPLETION No universal creditNo universal deletion credit Direction supportedExternally replicated direction
HOXA9C2 Meets locked criteriaCAT2 DEPLETION No universal creditNo universal deletion credit Unresolved / underpoweredevaluable: not replicated
WT1C2 Meets locked criteriaCAT2 DEPLETION No universal creditNo universal deletion credit Unresolved / underpoweredevaluable: not replicated
PAX8C1 Meets locked criteriaCAT1 ENRICHMENT Meets locked criteriaUniversal deletion credit Unresolved / underpoweredunderpowered sensitivity
LHX1C1 Meets locked criteriaCAT1 ENRICHMENT Meets locked criteriaUniversal deletion credit Blocked by vetoOpposite-direction veto
Leave-one-target-out robustness
Deletion results test dependence on individual regulon targets; they do not measure external replication.
03 · Gene leave-one-out
Deletion robustness map
Every mark is one mapped gene removed and re-estimated under the locked pointwise gate. Orange marks fall below |d| = 0.50.
GATA2
75 mapped genes- Failures
- 1/75
- Minimum |d|
- 0.4950
- Worst deletion
- NFE2
SOX9
70 mapped genes- Failures
- 15/70
- Minimum |d|
- 0.4593
- Worst deletion
- XPO4
HOXA9
19 mapped genes- Failures
- 2/19
- Minimum |d|
- 0.4701
- Worst deletion
- MYCN
WT1
92 mapped genes- Failures
- 1/92
- Minimum |d|
- 0.4877
- Worst deletion
- SULF2
PAX8
23 mapped genes- Failures
- 0/23
- Minimum |d|
- 0.5767
- Worst deletion
- SLC3A1
LHX1
6 mapped genes- Failures
- 0/6
- Minimum |d|
- 0.6999
- Worst deletion
- HHEX
Cohort structure
Discovery, sensitivity and external strata remain separate to avoid overstating transportability.
Sensitivity analyses
Subtype decomposition and clinical adjustment are rendered directly from the pinned GitHub tables.
04 · Sensitivity analyses
Subtype and clinical sensitivity
Molecular-subtype decomposition
Bootstrap intervals for the three descriptive subtype contrasts.
Grade and histology adjustment
Matched base model versus adjusted model.
Analysis workflow
A frozen, reproducible sequence from cohort definition to external evaluation.
GitHub repository
Evidence materializes a pinned scientific snapshot for stable rendering and links every displayed value back to its source file.
Reuse and data boundary
Original scientific materials are CC BY 4.0; software is Apache-2.0. Third-party source terms remain applicable. Controlled raw patient data are not redistributed by Evidence.
Pinned scientific commit: f702249bd50d31697e1ffcb9c54b606b39757812
Citations
Use the preprint DOI for the scientific work and the software DOI for the reproducibility record.
Research article
Toncheva D, Sgurev V, Mitev V. Robustness and cross-cohort concordance of developmental regulons in endometrial carcinoma. 2026.
Code and reproducibility
Toncheva D, Sgurev V, Mitev V. Endometrial developmental regulons: computational and reproducibility record. v1.0.1.