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Related Experiment Video

Updated: Jan 11, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

A sex-informed transcriptomic prognostic score for gynecologic cancers: Multiplatform validation and spatial

Mauricio A Cuello^1,2,3, Fernán Gómez-Valenzuela⁴, Ignacio Wichmann^5,6

¹Department of Gynecology, School of Medicine, Pontificia Universidad Católica de Chile (PUC), Santiago, Chile.

International Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics

|November 15, 2025

Summary

A novel 10-gene transcriptomic score, informed by sex-stratified analysis, accurately predicts gynecologic cancer patient outcomes. This sex-agnostic score identifies aggressive tumor states and may guide precision oncology strategies.

Keywords:

biomarkers cohort studies gene expression profiling gynecologic neoplasms prognosis sex characteristics transcriptome tumor microenvironment

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Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

Area of Science:

Genomics and Computational Biology
Cancer Research
Precision Medicine

Background:

Transcriptomic signatures are crucial for cancer prognosis.
Sex-specific differences in cancer biology necessitate sex-informed approaches.
Existing prognostic scores may not fully capture tumor heterogeneity.

Purpose of the Study:

To develop and validate a sex-informed transcriptomic prognostic score for gynecologic malignancies.
To assess the score's performance across multiple cohorts and platforms.
To investigate the biological underpinnings of high-risk scores in gynecologic tumors.

Main Methods:

Retrospective analysis of transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and CPTAC-3.
Construction of a 10-gene score using sex-stratified Cox models and LASSO regression.
Validation across multiple independent cohorts and through spatial transcriptomic analysis.

Main Results:

The 10-gene score demonstrated strong prognostic discrimination (HR=2.15) with AUCs of 0.69-0.72.
The score was robust across diverse datasets and analytical platforms.
In gynecologic tumors, high-score regions correlated with fibroblast-rich, immune-depleted areas, indicating stromal remodeling and immune exclusion.

Conclusions:

A sex-informed, spatially validated transcriptomic score offers reproducible risk stratification for gynecologic cancers.
The score captures aggressive tumor states associated with immune evasion.
This score may enhance biomarker-guided clinical trials and precision oncology implementation.