ArticleInternational journal of molecular sciences2026
Artificial Intelligence-Enhanced Molecular Profiling of JAK-STAT Pathway Alterations in FOLFOX-Treated Early-Onset Colorectal Cancer.
Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Enhancing Targeted Colorectal Cancer Therapies with Natural Products: Mechanistic Pathways.Biomedicines · 2026Review
- Pathway-Centric Comparative Molecular Profiling of Sézary Syndrome and Primary Cutaneous CD8Cancers · 2026Article
- A Conversational Artificial Intelligence Framework for Comparative Pathway-Level Profiling of Sézary Syndrome and Primary Cutaneous CD8medRxiv : the preprint server for health sciences · 2026Article
- Conversational Artificial Intelligence-Enabled Molecular Characterization of Sézary Syndrome Reveals Distinct Pathway-Level Alterations Compared with Non-Sézary Cutaneous T-Cell Lymphoma.medRxiv : the preprint server for health sciences · 2026Article
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Authors and funding
5 authors.
Funding
Abstract
Early-onset colorectal cancer (EOCRC) continues to rise, with the steepest increases observed among Hispanic/Latino (H/L) populations, underscoring the urgency of identifying ancestry- and treatment-specific biomarkers. The JAK-STAT signaling axis plays a central role in colorectal tumor biology, yet its relevance under FOLFOX-based chemotherapy in EOCRC remains poorly defined. In this study, we evaluated 2515 colorectal cancer (CRC) cases (266 H/L; 2249 non-Hispanic White [NHW]), stratifying analyses by ancestry, age of onset, and FOLFOX exposure. Statistical comparisons were performed using Fisher's exact and chi-square tests, and survival patterns were assessed via Kaplan-Meier analysis. To extend conventional analytics, we deployed AI-HOPE and AI-HOPE-JAK-STAT, conversational artificial intelligence platforms capable of harmonizing genomic, clinical, demographic, and treatment variables through natural language queries, to accelerate multi-parameter biomarker exploration. JAK-STAT pathway alterations showed marked variation by ancestry and treatment context. Among H/L EOCRC cases, alterations were significantly enriched in patients who did not receive FOLFOX compared with those who did (21.2% vs. 4.1%;
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Registered trials
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