Proteomics

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Surprisal Analysis of Patient-Specific Signaling Networks in TNBC


ABSTRACT: The present study sought to combine surprisal analysis, utilizing systems-level data to predict unbalanced processes in each patient tumor, with quantitative analysis of tyrosine phosphorylation mediated signaling networks to identify potential therapeutic targets and therapeutic combinations in TNBC patient-derived xenografts.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Breast Cancer Cell

DISEASE(S): Breast Cancer

SUBMITTER: Jason Conage-Pough  

LAB HEAD: Forest Michael White

PROVIDER: PXD042640 | Pride | 2025-01-14

REPOSITORIES: Pride

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Triple negative breast cancer (TNBC) is a heterogeneous group of tumors which lack estrogen receptor, progesterone receptor, and HER2 expression. Targeted therapies have limited success in treating TNBC, thus a strategy enabling effective targeted combinations is an unmet need. To tackle these challenges and discover individualized targeted combination therapies for TNBC, we integrated phosphoproteomic analysis of altered signaling networks with patient-specific signaling signature (PaSSS) analy  ...[more]

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