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2021
DOI: 10.1007/s11523-021-00830-5
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Selective Inhibition of JAK1 Primes STAT5-Driven Human Leukemia Cells for ATRA-Induced Differentiation

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Cited by 2 publications
(2 citation statements)
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“…Machine learning offers an effective tool for synthesizing and analyzing the amassing omics data to extract prominent features that can be used to develop mechanistic models for hypothesis generation. 49 , 64 As a first step, we look forward to the harmonization of our dataset with other recently published proteomic studies in AML 18 , 23 , 36 , 37 , 39 , 40 to improve prognostication, and better understand the biology of drug response in AML patients.…”
Section: Discussionmentioning
confidence: 99%
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“…Machine learning offers an effective tool for synthesizing and analyzing the amassing omics data to extract prominent features that can be used to develop mechanistic models for hypothesis generation. 49 , 64 As a first step, we look forward to the harmonization of our dataset with other recently published proteomic studies in AML 18 , 23 , 36 , 37 , 39 , 40 to improve prognostication, and better understand the biology of drug response in AML patients.…”
Section: Discussionmentioning
confidence: 99%
“… 24 , 25 , 26 , 27 This motivated the National Cancer Institute (NCI) to create the Clinical Proteomic Tumor Analysis Consortium (CPTAC), in which patient-derived samples were assayed using state-of-the-art mass spectrometry (MS) pipelines to produce proteomic and phosphoproteomic measurements of hundreds of tumors in breast, ovary, kidney, head and neck, endometrium, brain, and other tissues. 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 Efforts to study the impact of the proteomic signatures on drug response have been previously evaluated in AML cell lines 24 , 36 , 37 and in primary AML patient samples. 18 , 36 , 38 , 39 , 40 In each study, these proteomic measurements demonstrated patterns that were not evident at the genomic or transcriptomic level.…”
Section: Introductionmentioning
confidence: 99%