Adoptive cell therapies are dramatically altering the treatment landscape of cancer. However, treatment of solid tumors remains a major unmet need, in part due to limited adoptive cell infiltration into the tumor and in part due to the immunosuppressive tumor microenvironment. The heterogeneity of tumors and presence of nonresponders also call for development of antigen‐independent therapeutic approaches. Myeloid cells offer such an opportunity, given their large presence in the immunosuppressive tumor microenvironment, such as in triple negative breast cancer. However, their therapeutic utility is hindered by their phenotypic plasticity. Here, the impressive trafficking ability of adoptively transferred monocytes is leveraged into the immunosuppressive 4T1 tumor to develop an antitumor therapy. To control monocyte differentiation in the tumor microenvironment, surface‐adherent “backpacks” stably modified with interferon gamma (IFNγ) are developed to stimulate macrophage plasticity into a pro‐inflammatory, antitumor phenotype, a strategy as referred to as Ornate Polymer backpacks on Tissue Infiltrating Monocytes (OPTIMs). Treatment with OPTIMs substantially reduces tumor burden in a mouse 4T1 model and significantly increases survival. Cytokine and immune cell profiling reveal that OPTIMs remodeled the tumor microenvironment into a pro‐inflammatory state.
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Wang, Lily Li‐Wen ; Janes, Morgan E. ; Kumbhojkar, Ninad ; Kapate, Neha ; Clegg, John R. ; Prakash, Supriya ; Heavey, Mairead K. ; Zhao, Zongmin ; Anselmo, Aaron C. ; Mitragotri, Samir ( , Bioengineering & Translational Medicine)
Abstract Cell therapies have emerged as a promising therapeutic modality with the potential to treat and even cure a diverse array of diseases. Cell therapies offer unique clinical and therapeutic advantages over conventional small molecules and the growing number of biologics. Particularly, living cells can simultaneously and dynamically perform complex biological functions in ways that conventional drugs cannot; cell therapies have expanded the spectrum of available therapeutic options to include key cellular functions and processes. As such, cell therapies are currently one of the most investigated therapeutic modalities in both preclinical and clinical settings, with many products having been approved and many more under active clinical investigation. Here, we highlight the diversity and key advantages of cell therapies and discuss their current clinical advances. In particular, we review 28 globally approved cell therapy products and their clinical use. We also analyze >1700 current active clinical trials of cell therapies, with an emphasis on discussing their therapeutic applications. Finally, we critically discuss the major biological, manufacturing, and regulatory challenges associated with the clinical translation of cell therapies.
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Beal, Jacob ; Farny, Natalie G. ; Haddock-Angelli, Traci ; Selvarajah, Vinoo ; Baldwin, Geoff S. ; Buckley-Taylor, Russell ; Gershater, Markus ; Kiga, Daisuke ; Marken, John ; Sanchania, Vishal ; et al ( , Communications Biology)
Abstract Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing
E. coli . Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.