2018
DOI: 10.1158/1538-7445.am2018-2557
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Abstract 2557: Assessing the therapeutic efficacy of disease-specific T-cell biofactories

Abstract: Current protein-based cancer therapies have several disadvantages, which include general toxicity, lack of response at the administered dose and differing responses from patients to patient. To circumvent these issues, we propose a platform in which engineered T-cells specifically recognize tumors and secrete therapeutic peptides directly at the disease site leading to targeted cancer cell killing. This approach will increase the specificity of the therapy and decrease toxicity to healthy cells. … Show more

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Cited by 2 publications
(17 citation statements)
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“…A unified protocol was finally generated and the results are presented in Figure 2K. A ≈4.8‐fold increase in the titer over a generally reported protocol, also used in our previous work, [ 6 ] was observed. To demonstrate the scalability of the process, which will also be relevant in phase I/II trials, we translated the lentivirus production process to T175 flask.…”
Section: Figurementioning
confidence: 61%
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“…A unified protocol was finally generated and the results are presented in Figure 2K. A ≈4.8‐fold increase in the titer over a generally reported protocol, also used in our previous work, [ 6 ] was observed. To demonstrate the scalability of the process, which will also be relevant in phase I/II trials, we translated the lentivirus production process to T175 flask.…”
Section: Figurementioning
confidence: 61%
“…As such, options for many cell‐based diseases (e.g., cancers, viral infections, autoimmune disorders) that evade the immune system are limited. To address this challenge, we recently reported [ 6 ] on a cell‐based living vector that, upon interacting with the antigen‐presenting target cells, synthesizes proportionate amounts of desired proteins in situ. While the transformation and subsequent stabilization is realizable with immortalized cell lines, this is a challenge with primary cells that have limited lifespan.…”
Section: Figurementioning
confidence: 99%
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