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[A. Biochemistry/Molecular Biology] A-6



              Cancer patient tissueoid with self-homing nano-targeting of


                                             metabolic inhibitor




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                                             #
          Hyo-Jin Yoon¹ , Young Shin Chung² , Yong Jae Lee²#, Seung Eun Yu¹, Sewoom Baek¹, Hye-Seon Kim¹,
                    Sang Wun Kim², Yu-jin Nam¹, Jung-Yun Lee²*, Sunghoon Kim²*, Hak-Joon Sung²*

         ¹Department of Medical Engineering, Yonsei University College of Medicine, Seoul 03722, Korea, ²Department of

          Obstetrics and Gynecology, Institution of Women’s Life Medical Science, Yonsei University College of Medicine,
                                                    Seoul 03722, Korea




        The current paradigm of cancer medicine focuses on patient- and/or cancer-specific treatments, which has led to

        continuous progress in the development of patient representatives (e.g., organoids) and cancer-targeting carriers
        for  drug  screening.  As  breakthrough  concepts,  i)  living  cancer  tissues  convey  intact  profiles  of  patient-specific

        microenvironmental signatures. ii) The growth mechanisms of cancer mass with intense cell-cell interactions can be
        harnessed  to  develop  self-homing  nano-targeting  by  using  cancer  cell-derived  nanovesicles(CaNVs).  Hence,  we

        developed  a  tissueoid  model  of  ovarian  cancer  (OC)  by  culturing  OC  patient  tissues  in  a  3D  gel  chip,  whose
        microchannel networks enable perfusion to maintain the tissue viability. A novel model of systemic cancer responses

        was approached by xenografting OC tissueoids into ischaemic hindlimbs in nude mice. CaNVs were produced to
        carry general chemotherapeutics or new drugs under pre/clinical studies that target the BRCA mutation or energy

        metabolism, thereby increasing the test scope. This pioneer study cross-validates drug responses from the OC clinic,
        tissueoid,  and  animal  model  by  demonstrating  the  alignment  of  results  in  drug  type  specific  efficiency,  BRCA

        mutation-dependent drug efficiency, and metabolism inhibition based anti-cancer effects. Hence, this study provides
        a directional foundation to accelerate the discovery of patient-specific drugs with CaNV application towards future

        precision medicine.
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