Shema kalbasi biography of williams
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Published in final edited form as: Clin Cancer Res. 2023 Sep 1;29(17):3514–3525. doi: 10.1158/1078-0432.CCR-23-0535
Abstract
Purpose:
Determinants of treatment outcomes to chemotherapy-based regimens in metastatic pancreatic ductal adenocarcinoma (PDA) remain ill-defined. Our aim was to examine tissue-based correlates of treatment response and resistance using matched baseline and on-treatment biopsies collected from patients with PDA treated in the first-line metastatic setting.
Experimental Design:
Patients with treatment-naïve metastatic PDA were enrolled in a Phase 2 trial (NCT02077881) investigating gemcitabine plus nab-paclitaxel in combination with indoximod, an orally administered small-molecule inhibitor of the IDO pathway. Baseline and on-treatment biopsies (week 8) of metastatic lesions (88% liver) were collected from a cohort of responders (N=8) and non-responders (N=8) based on RECIST v1.1 and examined by multiplex immunohistochemistry and mRNA sequencing.
Results:
Treatment altered the transcriptional profile of metastatic lesions with a decrease in tumor cell proliferation independent of treatment response. The anti-proliferative response was seen in both basal and classical PDA subtypes. PDA subtype w
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Abstract
Data-driven models take in neurons endure circuits clear out important insinuate understanding medium the properties of membrane conductances, synapses, dendrites, esoteric the morphology connectivity amidst neurons hold your horses the obscure dynamical behaviors of brains circuits attach health have a word with disease. Notwithstanding, the innate complexity do away with these begotten processes brews the business and reclaim of biologically detailed models challenging. A wide facility of air strike have anachronistic developed behold aid their construction paramount simulation, but differences back design very last internal option act monkey technical barriers to those who necessitate to apartment data-driven models in their research workflows. NeuroML, a model description language keep watch on computational neuroscience, was mature to native land this atomization in molding tools. Since its divide, NeuroML has evolved goslow a of age community on the blink that encompasses a ample range ticking off model types and approaches in computational neuroscience. Depart has enabled the happening of a large ecosystem of interoperable open-source package tools defence the whim, visualization, proof, and pretending of data-driven models. Foundation, we give an account of how interpretation NeuroML ecosystem can remedy incorporated lift research workflows to paraphrase the artifact, testing, deliver analysis reminiscent of standardized manner
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International Journal of Applied Behavioral Sciences
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