Proteomic Profiling of the Tumor Microenvironment

Author(s):  
Michela Capello ◽  
Hiroyuki Katayama ◽  
Samir M. Hanash
Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1237
Author(s):  
Linda K. H. Teng ◽  
Brooke A. Pereira ◽  
Shivakumar Keerthikumar ◽  
Cheng Huang ◽  
Birunthi Niranjan ◽  
...  

Mast cells (MCs) are important cellular components of the tumor microenvironment and are significantly associated with poor patient outcomes in prostate cancer and other solid cancers. The promotion of tumor progression partly involves heterotypic interactions between MCs and cancer-associated fibroblasts (CAFs), which combine to potentiate a pro-tumor extracellular matrix and promote epithelial cell invasion and migration. Thus far, the interactions between MCs and CAFs remain poorly understood. To identify molecular changes that may alter resident MC function in the prostate tumor microenvironment, we profiled the transcriptome of human prostate MCs isolated from patient-matched non-tumor and tumor-associated regions of fresh radical prostatectomy tissue. Transcriptomic profiling revealed a distinct gene expression profile of MCs isolated from prostate tumor regions, including the downregulation of SAMD14, a putative tumor suppressor gene. Proteomic profiling revealed that overexpression of SAMD14 in HMC-1 altered the secretion of proteins associated with immune regulation and extracellular matrix processes. To assess MC biological function within a model of the prostate tumor microenvironment, HMC-1-SAMD14+ conditioned media was added to co-cultures of primary prostatic CAFs and prostate epithelium. HMC-1-SAMD14+ secretions were shown to reduce the deposition and alignment of matrix produced by CAFs and suppress pro-tumorigenic prostate epithelial morphology. Overall, our data present the first profile of human MCs derived from prostate cancer patient specimens and identifies MC-derived SAMD14 as an important mediator of MC phenotype and function within the prostate tumor microenvironment.


2019 ◽  
Vol 18 (7) ◽  
pp. 1410-1427 ◽  
Author(s):  
Elizabeth V. Nguyen ◽  
Brooke A. Pereira ◽  
Mitchell G. Lawrence ◽  
Xiuquan Ma ◽  
Richard J. Rebello ◽  
...  

2017 ◽  
Vol 15 (3) ◽  
pp. 281-293 ◽  
Author(s):  
Lisa Staunton ◽  
Claire Tonry ◽  
Rosina Lis ◽  
Virginia Espina ◽  
Lance Liotta ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Devin G. Roller ◽  
Stephen A. Hoang ◽  
Kristopher D. Rawls ◽  
Katherine A. Owen ◽  
Michael B. Simmers ◽  
...  

AbstractLung cancer rates are rising globally and non-small cell lung cancer (NSCLC) has a five year survival rate of only 24%. Unfortunately, the development of drugs to treat cancer is severely hampered by the inefficiency of translating pre-clinical studies into clinical benefit. Thus, we sought to apply a tumor microenvironment system (TMES) to NSCLC. Using microvascular endothelial cells, lung cancer derived fibroblasts, and NSCLC tumor cells in the presence of in vivo tumor-derived hemodynamic flow and transport, we demonstrate that the TMES generates an in-vivo like biological state and predicts drug response to EGFR inhibitors. Transcriptomic and proteomic profiling indicate that the TMES recapitulates the in vivo and patient molecular biological state providing a mechanistic rationale for the predictive nature of the TMES. This work further validates the TMES for modeling patient tumor biology and drug response indicating utility of the TMES as a predictive tool for drug discovery and development and potential for use as a system for patient avatars.


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