Evaluation of in vitro chemosensitivity of vaccine-associated feline sarcoma cell lines to vincristine and paclitaxel

2002 ◽  
Vol 63 (5) ◽  
pp. 728-732 ◽  
Author(s):  
Nilanjana Banerji ◽  
Xia Li ◽  
Jeffrey S. Klausner ◽  
Vivek Kapur ◽  
Sagarika Kanjilal
2001 ◽  
Vol 62 (9) ◽  
pp. 1354-1357 ◽  
Author(s):  
Laurel E. Williams ◽  
Nilanjana Banerji ◽  
Jeffrey S. Klausner ◽  
Vivek Kapur ◽  
Sagarika Kanjilal

2017 ◽  
Vol 47 (2) ◽  
pp. 219-226 ◽  
Author(s):  
Elizabeth A. Maxwell ◽  
Heidi Phillips ◽  
David J. Schaeffer ◽  
Timothy M. Fan

2021 ◽  
Vol 12 ◽  
Author(s):  
Darina Ocadlikova ◽  
Mariangela Lecciso ◽  
Javier Martin Broto ◽  
Katia Scotlandi ◽  
Michele Cavo ◽  
...  

BackgroundHigh-grade sarcomas are a heterogeneous group of aggressive tumors arising in bone and soft tissues. After relapse, treatment options are limited. The multi-targeted receptor tyrosine kinase inhibitors (TKIs) sunitinib and inhibitor of PD-1 (anti-PD-1) nivolumab have shown antitumor activity in selected subtypes. In this study, we examine the role of TKIs and PD-1 based therapy in in vitro cocultures of sarcoma.MethodsThe human osteosarcoma (SaOS-2) and synovial sarcoma (SYO-1) cell lines were treated with sunitinib. After cell death and proliferation assessment, expression of PD-L1 was analyzed by flow cytometry. Sunitinib-treated sarcoma cells were cocultured with dendritic cells (DCs), and the phenotype of mature DCs was determined by flow cytometry. Mature DCs were cultured with autologous T cells. PD-1 expression on T cells, their proliferation, T regulatory cell (Tregs) induction and IFN-γ production, before and after nivolumab exposure, were analyzed.ResultsAlong with its anti-proliferative and direct pro-apoptotic effect on sarcoma cell lines, sunitinib prompted PD-L1 upregulation on sarcoma cells. Interestingly, sunitinib-treated sarcoma cells drive DCs to full maturation and increase their capacity to induce sarcoma-reactive T cells to produce IFN-γ. Conversely, no effect on T cell proliferation and T cell subpopulation composition was observed. Moreover, both bone and synovial sarcoma cell lines induced Tregs through DCs but sunitinib treatment completely abrogated Treg induction. Finally, sarcoma cell lines induced PD-1 upregulation on both effector T cells and Tregs when loaded into DCs, providing a rationale for using PD-1 blockade. Indeed, PD-1 blockade by nivolumab synergized with sunitinib in inducing IFN-γ-producing effector T cells.ConclusionsTaken together, our in vitro data indicate that the treatment of sarcoma cells with sunitinib can exert significant changes on immune cell subsets toward immune activation, leading to DC-based cross-priming of IFN-γ-producing effector T cells and reduced Treg induction. PD-1 blockade with nivolumab has a synergistic effect with sunitinib, supporting the use of TKI and anti-PD-1 approach in sarcomas, and perhaps in other cancers. DC-targeted drugs, including toll-like receptor 3 inhibitors and CD47 inhibitors, are under development and our preclinical model might help to better design their clinical application.


1988 ◽  
Vol 15 (4) ◽  
pp. 937-942 ◽  
Author(s):  
Ralph R. Weichselbaum ◽  
Michael A. Beckett ◽  
Michael A. Simon ◽  
Carla McCauley ◽  
Daniel Haraf ◽  
...  

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3436-3436
Author(s):  
Amit Kumar Mitra ◽  
Taylor S Harding ◽  
Brian Van Ness

Abstract Proteasome inhibitors (PI) are effective chemotherapeutic agents in the treatment of multiple myeloma (MM), used alone or in combination with other anti-cancer agents, such as alkylating agents, topoisomerase inhibitors, corticosteroids, histone deacetylase inhibitors (HDACis) and immunomodulatory drugs (IMiDs). Bortezomib (Velcade/Bz) was the first PI to be approved by US-FDA for the treatment of relapsed and refractory MM. Other second generation PIs include carfilzomib (Kyprolis/Cz), ixazomib/Iz and oprozomib (Opz). Wide inter-individual variation in response to treatment with PIs is a major limitation in achieving consistent therapeutic effect in MM. Yet few studies have compared the efficacy of all four PIs in a range of myeloma subtypes. In our current study, we performed comprehensive in vitro chemosensitivity profiling of response to four (4) PIs (Bz, Cz, Ix and Opz) in a panel of forty-five (45) human myeloma cells lines (HMCLs) generated through the immortalization of primary multiple myeloma cells (MMCs) and representing the biological and genetic heterogeneity of MM with regards to chromosomal abnormalities, oncogene mutations (e.g. Ras), tumor suppressor variations (e.g. p53), cell surface phenotypes, or growth factor response. Cells were treated with increasing concentrations of Bz, Cz, Ix and Opz as single agents and cell viability assays were performed using CellTiter-Glo luminescent cell viability assay to generate survival curves and determine the half maximal inhibitory concentration (IC50) values by calculating the nonlinear regression using sigmoidal dose-response equation (variable slope). Our results in comparing the cellular responses to PI treatment among HMCLs showed wide range of variability in IC50 values identifying some lines which were highly sensitive and some lines relatively refractory to PI treatment. Pearson product-moment correlation (PPMC) test demonstrated statistically significant (adjusted p values < 0.001) positive correlation between IC50 values of the following drug pairs: Bz vs Opz (r = 0.82); and Ix vs Opz (r = 0.88); Bz vs Ix (r = 0.65); Cz vs Opz (r = 0.69) and Cz vs Ix (r = 0.63). Subgroup analysis revealed significant correlation between carfizomib IC50 and chromosome number (p < 0.05). Furthermore, it was interesting to note that although all 4 drugs belong to the same drug class (PI), not all cell lines responded the same across all PI treatments. This demonstrates tumor heterogeneity even in response to inhibitors of the same class, and further demonstrates tumors refractory to one PI may still respond to another. We are currently examining genetic characteristics that are associated with response among the four PIs, and analysis of these characteristics will be presented. Disclosures No relevant conflicts of interest to declare.


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