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Browsing by Author "Gu, Mingxia"
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Item Acoustofluidic assembly of primary tumor-derived organotypic cell clusters for rapid evaluation of cancer immunotherapy(BMC, 2023-02-04) Wu, Zhuhao; Ao, Zheng; Cai, Hongwei; Li, Xiang; Chen, Bin; Tu, Honglei; Wang, Yijie; Lu, Rongze Olivia; Gu, Mingxia; Cheng, Liang; Lu, Xin; Guo, Feng; Medicine, School of MedicineCancer immunotherapy shows promising potential for treating breast cancer. While patients may have heterogeneous treatment responses for adjuvant therapy, it is challenging to predict an individual patient’s response to cancer immunotherapy. Here, we report primary tumor-derived organotypic cell clusters (POCCs) for rapid and reliable evaluation of cancer immunotherapy. By using a label-free, contactless, and highly biocompatible acoustofluidic method, hundreds of cell clusters could be assembled from patient primary breast tumor dissociation within 2 min. Through the incorporation of time-lapse living cell imaging, the POCCs could faithfully recapitulate the cancer-immune interaction dynamics as well as their response to checkpoint inhibitors. Superior to current tumor organoids that usually take more than two weeks to develop, the POCCs can be established and used for evaluation of cancer immunotherapy within 12 h. The POCCs can preserve the cell components from the primary tumor due to the short culture time. Moreover, the POCCs can be assembled with uniform fabricate size and cell composition and served as an open platform for manipulating cell composition and ratio under controlled treatment conditions with a short turnaround time. Thus, we provide a new method to identify potentially immunogenic breast tumors and test immunotherapy, promoting personalized cancer therapy.Item Evaluation of cancer immunotherapy using mini-tumor chips(Ivyspring International, 2022-05-01) Ao, Zheng; Cai, Hongwei; Wu, Zhuhao; Hu, Liya; Li, Xiang; Kaurich, Connor; Gu, Mingxia; Cheng, Liang; Lu, Xin; Guo, Feng; Pathology and Laboratory Medicine, School of MedicineRationale: Predicting tumor responses to adjuvant therapies can potentially help guide treatment decisions and improve patient survival. Currently, tumor pathology, histology, and molecular profiles are being integrated into personalized profiles to guide therapeutic decisions. However, it remains a grand challenge to evaluate tumor responses to immunotherapy for personalized medicine. Methods: We present a microfluidics-based mini-tumor chip approach to predict tumor responses to cancer immunotherapy in a preclinical model. By uniformly infusing dissociated tumor cells into isolated microfluidic well-arrays, 960 mini-tumors could be uniformly generated on-chip, with each well representing the ex vivo tumor niche that preserves the original tumor cell composition and dynamic cell-cell interactions and autocrine/paracrine cytokines. Results: By incorporating time-lapse live-cell imaging, our mini-tumor chip allows the investigation of dynamic immune-tumor interactions as well as their responses to cancer immunotherapy (e.g., anti-PD1 treatment) in parallel within 36 hours. Additionally, by establishing orthotopic breast tumor models with constitutive differential PD-L1 expression levels, we showed that the on-chip interrogation of the primary tumor's responses to anti-PD1 as early as 10 days post tumor inoculation could predict the in vivo tumors' responses to anti-PD1 at the endpoint of day 24. We also demonstrated the application of this mini-tumor chip to interrogate on-chip responses of primary tumor cells isolated from primary human breast and renal tumor tissues. Conclusions: Our approach provides a simple, quick-turnaround solution to measure tumor responses to cancer immunotherapy.Item Frataxin deficiency promotes endothelial senescence in pulmonary hypertension(The American Society for Clinical Investigation, 2021-06-01) Culley, Miranda K.; Zhao, Jingsi; Tai, Yi Yin; Tang, Ying; Perk, Dror; Negi, Vinny; Yu, Qiujun; Woodcock, Chen-Shan C.; Handen, Adam; Speyer, Gil; Kim, Seungchan; Lai, Yen-Chun; Satoh, Taijyu; Watson, Annie M.M.; Al Aaraj, Yassmin; Sembrat, John; Rojas, Mauricio; Goncharov, Dmitry; Goncharova, Elena A.; Khan, Omar F.; Anderson, Daniel G.; Dahlman, James E.; Gurkar, Aditi U.; Lafyatis, Robert; Fayyaz, Ahmed U.; Redfield, Margaret M.; Gladwin, Mark T.; Rabinovitch, Marlene; Gu, Mingxia; Bertero, Thomas; Chan, Stephen Y.; Medicine, School of MedicineThe dynamic regulation of endothelial pathophenotypes in pulmonary hypertension (PH) remains undefined. Cellular senescence is linked to PH with intracardiac shunts; however, its regulation across PH subtypes is unknown. Since endothelial deficiency of iron-sulfur (Fe-S) clusters is pathogenic in PH, we hypothesized that a Fe-S biogenesis protein, frataxin (FXN), controls endothelial senescence. An endothelial subpopulation in rodent and patient lungs across PH subtypes exhibited reduced FXN and elevated senescence. In vitro, hypoxic and inflammatory FXN deficiency abrogated activity of endothelial Fe-S–containing polymerases, promoting replication stress, DNA damage response, and senescence. This was also observed in stem cell–derived endothelial cells from Friedreich’s ataxia (FRDA), a genetic disease of FXN deficiency, ataxia, and cardiomyopathy, often with PH. In vivo, FXN deficiency–dependent senescence drove vessel inflammation, remodeling, and PH, whereas pharmacologic removal of senescent cells in Fxn-deficient rodents ameliorated PH. These data offer a model of endothelial biology in PH, where FXN deficiency generates a senescent endothelial subpopulation, promoting vascular inflammatory and proliferative signals in other cells to drive disease. These findings also establish an endothelial etiology for PH in FRDA and left heart disease and support therapeutic development of senolytic drugs, reversing effects of Fe-S deficiency across PH subtypes.Item KMT2D-NOTCH Mediates Coronary Abnormalities in Hypoplastic Left Heart Syndrome(American Heart Association, 2022) Yu, Zhiyun; Zhou, Xin; Liu, Ziyi; Pastrana-Gomez, Victor; Liu, Yu; Guo, Minzhe; Tian, Lei; Nelson, Timothy J.; Wang, Nian; Mital, Seema; Chitayat, David; Wu, Joseph C.; Rabinovitch, Marlene; Wu, Sean M.; Snyder, Michael P.; Miao, Yifei; Gu, Mingxia; Radiology and Imaging Sciences, School of MedicineItem Rapid Profiling of Tumor-Immune Interaction Using Acoustically Assembled Patient-Derived Cell Clusters(Wiley, 2022) Ao, Zheng; Wu, Zhuhao; Cai, Hongwei; Hu, Liya; Li, Xiang; Kaurich, Connor; Chang, Jackson; Gu, Mingxia; Cheng, Liang; Lu, Xin; Guo, Feng; Pathology and Laboratory Medicine, School of MedicineTumor microenvironment crosstalk, in particular interactions between cancer cells, T cells, and myeloid‐derived suppressor cells (MDSCs), mediates tumor initiation, progression, and response to treatment. However, current patient‐derived models such as tumor organoids and 2D cultures lack some essential niche cell types (e.g., MDSCs) and fail to model complex tumor‐immune interactions. Here, the authors present the novel acoustically assembled patient‐derived cell clusters (APCCs) that can preserve original tumor/immune cell compositions, model their interactions in 3D microenvironments, and test the treatment responses of primary tumors in a rapid, scalable, and user‐friendly manner. By incorporating a large array of 3D acoustic trappings within the extracellular matrix, hundreds of APCCs can be assembled within a petri dish within 2 min. Moreover, the APCCs can preserve sensitive and short‐lived (≈1 to 2‐day lifespan in vivo) tumor‐induced MDSCs and model their dynamic suppression of T cell tumor toxicity for up to 24 h. Finally, using the APCCs, the authors succesully model the combinational therapeutic effect of a multi‐kinase inhibitor targeting MDSCs (cabozantinib) and an anti‐PD‐1 immune checkpoint inhibitor (pembrolizumab). The novel APCCs may hold promising potential in predicting treatment response for personalized cancer adjuvant therapy as well as screening novel cancer immunotherapy and combinational therapy.