| Literature DB >> 31992541 |
Josephine A Taverna1, Chia-Nung Hung2, Daniel T DeArmond3, Meizhen Chen4, Chun-Lin Lin5, Pawel A Osmulski4, Maria E Gaczynska4, Chiou-Miin Wang6, Nicholas D Lucio4, Chih-Wei Chou4, Chun-Liang Chen2, Alia Nazarullah7, Shellye R Lampkin7, Lianqun Qiu8, David J Bearss9, Steven Warner10, Clifford J Whatcott11, Lars Mouritsen12, Mark Wade13, Steven Weitman14, Ruben A Mesa15, Nameer B Kirma16, Wei-Ting Chao17, Tim H-M Huang18.
Abstract
Cytometry by time-of-flight (CyTOF) simultaneously measures multiple cellular proteins at the single-cell level and is used to assess inter- and intra-tumor heterogeneity. This approach may be used to investigate the variability of individual tumor responses to treatments. Herein, we stratified lung tumor subpopulations based on AXL signaling as a potential targeting strategy. Integrative transcriptome analyses were used to investigate how TP-0903, an AXL kinase inhibitor, influences redundant oncogenic pathways in metastatic lung cancer cells. CyTOF profiling revealed that AXL inhibition suppressed SMAD4/TGF-β signaling and induced JAK1-STAT3 signaling to compensate for the loss of AXL. Interestingly, high JAK1-STAT3 was associated with increased levels of AXL in treatment-naïve tumors. Tumors with high AXL, TGF-β and JAK1 signaling concomitantly displayed CD133-mediated cancer stemness and hybrid EMT features in advanced stage patients, suggesting greater potential for distant dissemination. Diffusion pseudotime analysis revealed cell-fate trajectories among four different categories that were linked to clinicopathologic features for each patient. Patient-derived organoids (PDOs) obtained from tumors with high AXL and JAK1 were sensitive to TP-0903 and ruxolitinib (JAK inhibitor) treatments supporting the CyTOF findings. This study shows that single-cell proteomic profiling of treatment-naïve lung tumors, coupled with ex vivo testing of PDOs, identifies continuous AXL, TGF-β and JAK1-STAT3 signal activation in select tumors that may be targeted by combined AXL-JAK1 inhibition.Entities:
Year: 2020 PMID: 31992541 DOI: 10.1158/0008-5472.CAN-19-3183
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701