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- Selvin, Tove, et al.
(författare)
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Phenotypic screening platform identifies statins as enhancers of immune cell-induced cancer cell death.
- 2023
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Ingår i: BMC cancer. - : Springer Science and Business Media LLC. - 1471-2407. ; 23:1
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Tidskriftsartikel (refereegranskat)abstract
- High-throughput screening (HTS) of small molecule drug libraries has greatly facilitated the discovery of new cancer drugs. However, most phenotypic screening platforms used in the field of oncology are based solely on cancer cell populations and do not allow for the identification of immunomodulatory agents.We developed a phenotypic screening platform based on a miniaturized co-culture system with human colorectal cancer- and immune cells, providing a model that recapitulates part of the tumor immune microenvironment (TIME) complexity while simultaneously being compatible with a simple image-based readout. Using this platform, we screened 1,280 small molecule drugs, all approved by the Food and Drug Administration (FDA), and identified statins as enhancers of immune cell-induced cancer cell death.The lipophilic statin pitavastatin had the most potent anti-cancer effect. Further analysis demonstrated that pitavastatin treatment induced a pro-inflammatory cytokine profile as well as an overall pro-inflammatory gene expression profile in our tumor-immune model.Our study provides an in vitro phenotypic screening approach for the identification of immunomodulatory agents and thus addresses a critical gap in the field of immuno-oncology. Our pilot screen identified statins, a drug family gaining increasing interest as repurposing candidates for cancer treatment, as enhancers of immune cell-induced cancer cell death. We speculate that the clinical benefits described for cancer patients receiving statins are not simply caused by a direct effect on the cancer cells but rather are dependent on the combined effect exerted on both cancer and immune cells.
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| 2. |
- Selvin, Tove
(författare)
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Preclinical tumor-immune modeling : For the identification of immunomodulatory drugs
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- For a long time, the field of cancer research was dominated by a tumor cell-centric view. That, however, changed once it became recognized that medical cancer treatment is largely influenced by the combined effect exerted on both cancer and immune cells. In this work, we aimed to develop and apply preclinical model systems for the identification and evaluation of immunomodulatory anti-cancer agents. In Paper I, we employed single-cell RNA sequencing (scRNA-seq) to investigate immunological effects of trifluridine (FTD), a nucleoside analogue used for the treatment of colorectal cancer (CRC). The study revealed that while FTD induces immunogenic cell death (ICD), it may also attenuate T cell-mediated antitumor responses. In paper II and III, we developed and applied a phenotypic screening platform based on a miniaturized tumor-immune model. In paper II, aiming to identify immunological effects of clinical relevance and provide a reference point for screening novel compound libraries, the model system was used to assess a broad panel of standard anticancer agents. In paper III, the platform was used to screen a drug library containing 1280 small molecule drugs, all approved by the FDA or other agencies. Using this approach, statins were identified as enhancers of immune cell-mediated cancer cell killing. Finally, in paper IV, we developed the immuno-oncology hollow fiber assay (HFA) with the goal of bridging the gap between cell based in vitro assays and more complex mouse models for evaluation of immuno-oncological agents. The HFA is an in vivo assay in which semipermeable fibers are filled with cancer cells and implanted in rodents. We further developed the HFA to incorporate both cancer and immune cells. This novel assay demonstrated the potential to capture immune-mediated cancer cell killing in vivo within a matter of days. Collectively, this work provides a research approach for immuno-oncology drug screening, in vitro validation, and initial in vivo evaluation.
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