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): Q Exactive Plus, Orbitrap Exploris 480

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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Dataset's files

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Action DRS
JCP_051422_AC2_pY_BR98_erl_tax_9plex.mzML Mzml
JCP_051422_AC2_pY_BR98_erl_tax_9plex.mzid.gz Mzid
JCP_051422_AC2_pY_BR98_erl_tax_9plex.raw Raw
JCP_051422_AC4_pY_PDX11_erl_ag_18plex.mzML Mzml
JCP_051422_AC4_pY_PDX11_erl_ag_18plex.mzid.gz Mzid
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Publications

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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