Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology.
Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology.
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DOI：
10.1177/20417314211055015
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发表时间：
2021-01
影响因子：
8.2
通讯作者：
Arend RC
中科院分区：
文献类型：
--
作者：
Martinez A;Buckley MS;Scalise CB;Wang D;Katre AA;Birrer MJ;Berry JL;Arend RC
在妇科恶性肿瘤中，卵巢癌（OC）的生存率最低，由于其高复发率和耐药性，其临床治疗仍然具有挑战性。提高这些患者的生存率至关重要，尽管这需要将临床前研究转化为实际患者护理的能力：从工作台到床边和背部。我们的目标是开发一个临床前模型，准确地代表肿瘤生物学及其微环境。我们利用SKOV-3、OVCAR-8和CS-99细胞系证明该模型适用于体外评估细胞增殖。我们单独测试了OC细胞，并与癌症相关成纤维细胞（CAF）或免疫细胞共培养。此外，我们使用患者来源的卵巢癌和癌肉瘤样本，以表明该系统在7天后保持原代组织的组织学形态。此外，我们使用细胞系和患者来源的肿瘤标本测试了对化疗的反应，并证实与载体组相比，治疗组中的细胞死亡显著更高。最后，我们在生物反应器系统中几天后对含有患者组织的3-D模型进行免疫分析，发现免疫群体仍然存在。我们的数据表明，该模型是一种合适的临床前模型，有助于最终影响妇科癌症患者治疗的研究。
Among gynecologic malignancies, ovarian cancer (OC) has the poorest survival rate, and its clinical management remains challenging due to the high rate of recurrence and chemoresistance. Improving survival for these patients is critical, although this requires the ability to translate preclinical studies to actual patient care: bench to bedside and back. Our objective was to develop a preclinical model that accurately represents tumor biology and its microenvironment. We utilized SKOV-3, OVCAR-8, and CS-99 cell lines to show that this model was suitable for in vitro assessment of cell proliferation. We tested OC cells independently and in co-culture with cancer associated fibroblasts (CAFs) or immune cells. Additionally, we used patient-derived ovarian carcinoma and carcinosarcoma samples to show that the system maintains the histologic morphology of the primary tissue after 7 days. Moreover, we tested the response to chemotherapy using both cell lines and patient-derived tumor specimens and confirmed that cell death was significantly higher in the treated group compared to the vehicle group. Finally, we immune profiled the 3-D model containing patient tissue after several days in the bioreactor system and revealed that the immune populations are still present. Our data suggest that this model is a suitable preclinical model to aid in research that will ultimately impact the treatment of patients with gynecologic cancer.
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影响因子：
3.3
作者：
Marshall LE;Goliwas KF;Miller LM;Penman AD;Frost AR;Berry JL
通讯作者：
Berry JL
影响因子：
11.5
作者：
Lo, Charlotte S.;Sanii, Sanaz;Nelson, Brad H.
通讯作者：
Nelson, Brad H.
影响因子：
2.2
作者：
Ledford, Leah Rc;Lockwood, Suzy
通讯作者：
Lockwood, Suzy
影响因子：
4
作者：
Khan, Shaheena M.;Funk, Holly M.;Rinker-Schaeffer, Carrie W.
通讯作者：
Rinker-Schaeffer, Carrie W.
DOI：
10.1073/pnas.90.8.3294
发表时间：
1993-04-15
影响因子：
11.1
作者：
KOBAYASHI, H;MAN, S;KERBEL, RS
通讯作者：
KERBEL, RS