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10.18632/oncotarget.24277

http://scihub22266oqcxt.onion/10.18632/oncotarget.24277
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suck abstract from ncbi


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pmid29541402
      Oncotarget 2018 ; 9 (13 ): 11126-11144
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  • Semaphorin 4D in human head and neck cancer tissue and peripheral blood: A dense fibrotic peri-tumoral stromal phenotype #MMPMID29541402
  • Derakhshandeh R ; Sanadhya S ; Lee Han K ; Chen H ; Goloubeva O ; Webb TJ ; Younis RH
  • Oncotarget 2018[Feb]; 9 (13 ): 11126-11144 PMID29541402 show ga
  • The search for stromal biomarkers in carcinoma patients is a challenge in the field. Semaphorin 4D (Sema4D), known for its various developmental, physiological and pathological effects, plays a role in pro and anti-inflammatory responses. It is expressed in many epithelial tumors including head and neck squamous cell carcinoma (HNSCC). Recently, we found that HNSCC-associated Sema4D modulates an immune-suppressive, tumor-permissible environment by inducing the expansion of myeloid derived suppressor cells. The purpose of this study was to determine the value of Sema4D as a biomarker for the peri-tumoral stromal phenotype in human HNSCC. Our data showed Sema4D(+ve/high) tumor cells in 34% of the studied cohort with positive correlation to Stage III (p=0.0001). Sema4D(+ve/high) tumor cells correlated directly with dense fibrotic peri-tumoral stroma (p=0.0001) and inversely with infiltrate of Sema4D(+ve/high) tumor-associated inflammatory cells (TAIs) (p=0.01). Most of the Sema4D(+ve/high) TAIs were co-positive for the macrophage biomarker CD163. Knockdown of Sema4D in WSU-HN6 cells inhibited collagen production by fibroblasts, and decreased activated TGF-?1 levels in culture medium of HNSCC cell lines. In a stratification model of HNSCC using combined Sema4D and the programmed death ligand 1 (PDL-1), Sema4D(+ve/high) tumor cells represented a phenotype distinct from the PDL-1 positive tumors. Finally,Sema4D was detected in plasma of HNC patients at significantly higher levels (115.44, ± 39.37) compared to healthy donors (38.60± 12.73) (p <0.0001). In conclusion, we present a novel HNSCC tumor stratification model, based on the expression of the biomarker Sema4D. This model opens new avenues to novel targeted therapeutic strategies.
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