Abstract 5: Artificial intelligence-driven precision medicine identifies prognostic WNT pathway alterations in African American colorectal cancer patients treated with FOLFOX.

Abstract Background: African Americans (AA) experience disproportionate burden of colorectal cancer. Dysregulation of the Wingless-related integration site (WNT) and transforming growth factor-beta (TGF-β) pathways contributes to tumor progression, yet their prognostic roles in FOLFOX-treated CRC among AA patients remain understudied. Methods: We analyzed 2,562 colorectal cancer cases stratified by ancestry, age at onset, and FOLFOX treatment using Fisher’s exact, chi-square, and Kaplan-Meier analyses from AACR Project GENIE andcBioPortal databases. To enhance data integration and interpretation, we applied AI-HOPE and AI-HOPE-WNT/TGFβ, conversational artificial intelligence (AI) platforms designed to integrate clinical, genomic, and treatment data through natural language-driven queries. Results: Overall survival analyses showed that early-onset AA patients treated with FOLFOX who had WNT pathway alterations experienced significantly better survival (p = 0.035). WNT pathway alterations were less frequent in late-onset AA patients treated with FOLFOX compared to those not treated (80% vs. 92%; p = 0.05). Similarly, TGF-β pathway alterations were reduced in late-onset non-Hispanic White (NHW) patients receiving FOLFOX compared to untreated cases (23% vs. 31%; p = 0.0005). Conclusions: Chemotherapy exposure may influence pathway-specific mutation frequencies across ancestry and disease stage. AI-enabled integrative analyses highlight the potential of conversational AI platforms to accelerate biomarker discovery and reveal ancestry- and treatment-specific vulnerabilities in colorectal cancer. Citation Format: Tsion Z. Minas, Brigette Waldrup, Francisco G. Carranza, Sophia Manjarrez, Enrique Velazquez-Villarreal. Artificial intelligence-driven precision medicine identifies prognostic WNT pathway alterations in African American colorectal cancer patients treated with FOLFOX [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-5
Primary Topic
Cardiovascular Health and Risk Factors
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article
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article

Abstract 5: Artificial intelligence-driven precision medicine identifies prognostic WNT pathway alterations in African American colorectal cancer patients treated with FOLFOX.

Tsion Z. Minas, Sophia Manjarrez, Francisco G. Carranza, Enrique Velazquez-Villarreal et al.
Cancer Research
Cardiovascular Health and Risk Factors
article

Abstract 5: Artificial intelligence-driven precision medicine identifies prognostic WNT pathway alterations in African American colorectal cancer patients treated with FOLFOX.

Tsion Z. Minas, Sophia Manjarrez, Francisco G. Carranza, Enrique Velazquez-Villarreal, Brigette Waldrup
article en

Abstract

Abstract Background: African Americans (AA) experience disproportionate burden of colorectal cancer. Dysregulation of the Wingless-related integration site (WNT) and transforming growth factor-beta (TGF-β) pathways contributes to tumor progression, yet their prognostic roles in FOLFOX-treated CRC among AA patients remain understudied. Methods: We analyzed 2,562 colorectal cancer cases stratified by ancestry, age at onset, and FOLFOX treatment using Fisher’s exact, chi-square, and Kaplan-Meier analyses from AACR Project GENIE andcBioPortal databases. To enhance data integration and interpretation, we applied AI-HOPE and AI-HOPE-WNT/TGFβ, conversational artificial intelligence (AI) platforms designed to integrate clinical, genomic, and treatment data through natural language-driven queries. Results: Overall survival analyses showed that early-onset AA patients treated with FOLFOX who had WNT pathway alterations experienced significantly better survival (p = 0.035). WNT pathway alterations were less frequent in late-onset AA patients treated with FOLFOX compared to those not treated (80% vs. 92%; p = 0.05). Similarly, TGF-β pathway alterations were reduced in late-onset non-Hispanic White (NHW) patients receiving FOLFOX compared to untreated cases (23% vs. 31%; p = 0.0005). Conclusions: Chemotherapy exposure may influence pathway-specific mutation frequencies across ancestry and disease stage. AI-enabled integrative analyses highlight the potential of conversational AI platforms to accelerate biomarker discovery and reveal ancestry- and treatment-specific vulnerabilities in colorectal cancer. Citation Format: Tsion Z. Minas, Brigette Waldrup, Francisco G. Carranza, Sophia Manjarrez, Enrique Velazquez-Villarreal. Artificial intelligence-driven precision medicine identifies prognostic WNT pathway alterations in African American colorectal cancer patients treated with FOLFOX [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5.

Cancer ResearchVol. 86(7_Supplement)
Johns Hopkins University (US), City of Hope (US), Beckman Research Institute, University of Baltimore (US)
Quality Education
Openalex Percentile: Top 29%
Cardiovascular Health and Risk Factors
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