Work Description

Title: Engineered immunologic niche monitors checkpoint blockade response and probes mechanisms of resistance Open Access Deposited

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Attribute Value
Methodology
  • In this work, we investigated the dynamic gene expression within the immunologic niche (IN) to provide biomarkers that correlate with the response to αPD-1 in TNBC. We employed the 4T1 model of metastatic TNBC, which was treated with αPD-1 and resulted in cohorts that were either sensitive or resistant indicated by the growth of the primary tumor and survival.
Description
  • The IN were sampled during and after ICB and sequenced to identify gene expression signatures that correlated with sensitivity or resistance. We also analyzed gene expression at the IN prior to ICB treatment to identify markers predicting therapeutic response. Longitudinally interrogating an IN, to monitor changes associated with ICB response, presents a new opportunity to personalize care and investigate mechanisms underlying treatment resistance.
Creator
Depositor
  • rurie@umich.edu
Contact information
Discipline
Funding agency
  • National Institutes of Health (NIH)
Keyword
Date coverage
  • 2020-05-01 to 2022-12-18
Resource type
Last modified
  • 06/29/2023
Published
  • 06/29/2023
Language
DOI
  • https://doi.org/10.7302/wthd-z193
License
To Cite this Work:
Raghani, R. M., Urie, R. R., Shea, L. D. (2023). Engineered immunologic niche monitors checkpoint blockade response and probes mechanisms of resistance [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/wthd-z193

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Files (Count: 5; Size: 2.76 GB)

Data and documents pertaining to the manuscript "Engineered immunologic niche monitors checkpoint blockade response and probes mechanisms of resistance".
Organized into four folders:
(1) Survival and Tumor Growth
(2) Immunohistochemistry
(3) Flow Cytometry
(4) RNA Sequencing

Each folder contains an individual Readme .txt file for the corresponding data and information.

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