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Deciphering RTK-RAS and MAPK Pathway Dependencies in Gemcitabine-Treated Pancreatic Ductal Adenocarcinoma Through Conversational Artificial Intelligence
by
Carranza, Francisco G.
, Manjarrez, Sophia
, Waldrup, Brigette
, Diaz, Fernando C.
, Velazquez-Villarreal, Enrique
in
Adenocarcinoma
/ Age
/ Aged
/ Analysis
/ Antimetabolites, Antineoplastic - therapeutic use
/ Artificial Intelligence
/ Carcinoma, Pancreatic Ductal - drug therapy
/ Carcinoma, Pancreatic Ductal - genetics
/ Carcinoma, Pancreatic Ductal - metabolism
/ Carcinoma, Pancreatic Ductal - pathology
/ Chemotherapy
/ Deoxycytidine - analogs & derivatives
/ Deoxycytidine - pharmacology
/ Deoxycytidine - therapeutic use
/ Female
/ Gemcitabine
/ Genetic research
/ Hispanic Americans
/ Humans
/ Kinases
/ Male
/ MAP Kinase Signaling System - drug effects
/ Medical prognosis
/ Metabolism
/ Metastasis
/ Middle Aged
/ Mutation
/ Oncology
/ Pancreatic cancer
/ Pancreatic Neoplasms - drug therapy
/ Pancreatic Neoplasms - genetics
/ Pancreatic Neoplasms - metabolism
/ ras Proteins - genetics
/ ras Proteins - metabolism
/ Tumor proteins
/ Tumors
2026
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Deciphering RTK-RAS and MAPK Pathway Dependencies in Gemcitabine-Treated Pancreatic Ductal Adenocarcinoma Through Conversational Artificial Intelligence
by
Carranza, Francisco G.
, Manjarrez, Sophia
, Waldrup, Brigette
, Diaz, Fernando C.
, Velazquez-Villarreal, Enrique
in
Adenocarcinoma
/ Age
/ Aged
/ Analysis
/ Antimetabolites, Antineoplastic - therapeutic use
/ Artificial Intelligence
/ Carcinoma, Pancreatic Ductal - drug therapy
/ Carcinoma, Pancreatic Ductal - genetics
/ Carcinoma, Pancreatic Ductal - metabolism
/ Carcinoma, Pancreatic Ductal - pathology
/ Chemotherapy
/ Deoxycytidine - analogs & derivatives
/ Deoxycytidine - pharmacology
/ Deoxycytidine - therapeutic use
/ Female
/ Gemcitabine
/ Genetic research
/ Hispanic Americans
/ Humans
/ Kinases
/ Male
/ MAP Kinase Signaling System - drug effects
/ Medical prognosis
/ Metabolism
/ Metastasis
/ Middle Aged
/ Mutation
/ Oncology
/ Pancreatic cancer
/ Pancreatic Neoplasms - drug therapy
/ Pancreatic Neoplasms - genetics
/ Pancreatic Neoplasms - metabolism
/ ras Proteins - genetics
/ ras Proteins - metabolism
/ Tumor proteins
/ Tumors
2026
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Deciphering RTK-RAS and MAPK Pathway Dependencies in Gemcitabine-Treated Pancreatic Ductal Adenocarcinoma Through Conversational Artificial Intelligence
by
Carranza, Francisco G.
, Manjarrez, Sophia
, Waldrup, Brigette
, Diaz, Fernando C.
, Velazquez-Villarreal, Enrique
in
Adenocarcinoma
/ Age
/ Aged
/ Analysis
/ Antimetabolites, Antineoplastic - therapeutic use
/ Artificial Intelligence
/ Carcinoma, Pancreatic Ductal - drug therapy
/ Carcinoma, Pancreatic Ductal - genetics
/ Carcinoma, Pancreatic Ductal - metabolism
/ Carcinoma, Pancreatic Ductal - pathology
/ Chemotherapy
/ Deoxycytidine - analogs & derivatives
/ Deoxycytidine - pharmacology
/ Deoxycytidine - therapeutic use
/ Female
/ Gemcitabine
/ Genetic research
/ Hispanic Americans
/ Humans
/ Kinases
/ Male
/ MAP Kinase Signaling System - drug effects
/ Medical prognosis
/ Metabolism
/ Metastasis
/ Middle Aged
/ Mutation
/ Oncology
/ Pancreatic cancer
/ Pancreatic Neoplasms - drug therapy
/ Pancreatic Neoplasms - genetics
/ Pancreatic Neoplasms - metabolism
/ ras Proteins - genetics
/ ras Proteins - metabolism
/ Tumor proteins
/ Tumors
2026
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Deciphering RTK-RAS and MAPK Pathway Dependencies in Gemcitabine-Treated Pancreatic Ductal Adenocarcinoma Through Conversational Artificial Intelligence
Journal Article
Deciphering RTK-RAS and MAPK Pathway Dependencies in Gemcitabine-Treated Pancreatic Ductal Adenocarcinoma Through Conversational Artificial Intelligence
2026
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Overview
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy marked by substantial molecular heterogeneity and variable response to gemcitabine-based therapy. While KRAS mutations are nearly universal, the broader RTK-RAS and MAPK signaling architecture and its relationship to treatment response remain incompletely defined. We conducted an integrative clinical-genomic analysis of 184 PDAC tumors stratified by age at diagnosis and gemcitabine exposure, interrogating somatic alterations across curated RTK-RAS/MAPK gene sets. Conversational artificial intelligence agents (AI-HOPE-RTK-RAS and AI-HOPE-MAPK) enabled dynamic cohort construction and pathway-level analyses, with findings validated using standard statistical methods. In late-onset PDAC, ERBB2 and RET mutations were significantly enriched in gemcitabine-treated tumors. Early-onset cases demonstrated differential enrichment of CACNA2D family alterations in non-treated tumors and higher frequencies of FLNB and TP53 mutations in treated disease. Importantly, late-onset patients not treated with gemcitabine who lacked RTK-RAS or MAPK alterations exhibited significantly improved overall survival. These findings reveal age- and treatment-dependent pathway dependencies beyond canonical KRAS status and support a precision oncology framework in PDAC. Conversational AI facilitated rapid, multidimensional clinical–genomic integration to uncover clinically relevant signaling substructures.
Publisher
MDPI AG,Multidisciplinary Digital Publishing Institute (MDPI)
Subject
/ Age
/ Aged
/ Analysis
/ Antimetabolites, Antineoplastic - therapeutic use
/ Carcinoma, Pancreatic Ductal - drug therapy
/ Carcinoma, Pancreatic Ductal - genetics
/ Carcinoma, Pancreatic Ductal - metabolism
/ Carcinoma, Pancreatic Ductal - pathology
/ Deoxycytidine - analogs & derivatives
/ Deoxycytidine - pharmacology
/ Deoxycytidine - therapeutic use
/ Female
/ Humans
/ Kinases
/ Male
/ MAP Kinase Signaling System - drug effects
/ Mutation
/ Oncology
/ Pancreatic Neoplasms - drug therapy
/ Pancreatic Neoplasms - genetics
/ Pancreatic Neoplasms - metabolism
/ Tumors
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