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Abstract

The management of advanced or recurrent endometrial cancers presents a challenge due to the development of resistance to treatments. The knowledge regarding the role of the tumor microenvironment (TME) in determining the disease’s progression and treatment outcome has evolved in recent years. As a TME component, cancer-associated fibroblasts (CAFs) are essential in developing drug-induced resistance in various solid tumors, including endometrial cancers. Hence, an unmet need exists to test the role of endometrial CAF in overcoming the roadblock of resistance in endometrial cancers. We present a novel tumor–TME two-cell ex vivo model to test CAF’s role in resisting the anti-tumor drug, paclitaxel. Endometrial CAFs, both NCAFs (tumor-adjacent normal-tissue-derived CAFs) and TCAFs (tumor-tissue-derived CAFs) were validated by their expression markers. Both TCAFs and NCAFs expressed positive markers of CAF, including SMA, FAP, and S100A4, in varying degrees depending on the patients, while they consistently lacked the negative marker of CAF, EpCAM, as tested via flow cytometry and ICC. CAFs expressed TE-7 and immune marker, PD-L1, via ICC. CAFs better resisted the growth inhibitory effect of paclitaxel on endometrial tumor cells in 2D and 3D formats compared to the resistance of the tumoricidal effect of paclitaxel in the absence of CAFs. TCAF resisted the growth inhibitory effect of paclitaxel on endometrial AN3CA and RL-95-2 cells in an HyCC 3D format. Since NCAF similarly resisted the growth inhibitor action of paclitaxel, we tested NCAF and TCAF from the same patient to demonstrate the protective action of NCAF and TCAF in resisting the tumoricidal effect of paclitaxel in AN3CA in both 2D and 3D matrigel formats. Using this hybrid co-culture CAF and tumor cells, we established a patient-specific, laboratory-friendly, cost-effective, and time-sensitive model system to test drug resistance. The model will help test the role of CAFs in developing drug resistance and contribute to understanding tumor cell-CAF dialogue in gynecological cancers and beyond.

Details

1009240
Title
A CAF-Based Two-Cell Hybrid Co-Culture Model to Test Drug Resistance in Endometrial Cancers
Author
Sulaiman, Raed 1 ; De, Pradip 2 ; Aske, Jennifer C 3   VIAFID ORCID Logo  ; Lin, Xiaoqian 3 ; Dale, Adam 3 ; Gaster, Kris 4 ; Luis Rojas Espaillat 5 ; Starks, David 5 ; Dey, Nandini 6   VIAFID ORCID Logo 

 Department of Pathology, Avera Research Institute, Sioux Falls, SD 57105, USA 
 Translational Oncology Laboratory, Avera Research Institute, Sioux Falls, SD 57105, USA[email protected] (J.C.A.); [email protected] (A.D.); Department of Internal Medicine, University of South Dakota SSOM, USD, Sioux Falls, SD 57105, USA; Viecure, Greenwood Village, CO 80111, USA 
 Translational Oncology Laboratory, Avera Research Institute, Sioux Falls, SD 57105, USA[email protected] (J.C.A.); [email protected] (A.D.) 
 Assistant VP Outpatient Cancer Clinics, Avera Cancer Institute, Sioux Falls, SD 57105, USA 
 Department of Gynecologic Oncology, Avera Research Institute, Sioux Falls, SD 57105, USA 
 Translational Oncology Laboratory, Avera Research Institute, Sioux Falls, SD 57105, USA[email protected] (J.C.A.); [email protected] (A.D.); Department of Internal Medicine, University of South Dakota SSOM, USD, Sioux Falls, SD 57105, USA 
Publication title
Volume
11
Issue
5
First page
1326
Publication year
2023
Publication date
2023
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
22279059
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2023-04-29
Milestone dates
2023-04-07 (Received); 2023-04-28 (Accepted)
Publication history
 
 
   First posting date
29 Apr 2023
ProQuest document ID
2819379304
Document URL
https://www.proquest.com/scholarly-journals/caf-based-two-cell-hybrid-co-culture-model-test/docview/2819379304/se-2?accountid=208611
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-08-26
Database
ProQuest One Academic