Patient-derived organoid models of malignant phyllodes tumours for drug sensitivity testing and identification of targeted therapeutic strategies

被引:0
|
作者
Chen, Jie [1 ,2 ]
Liu, Liangquan [2 ]
Yang, Yunxu [3 ]
Luo, Jing [2 ]
Liu, Shengchun [1 ]
机构
[1] Chongqing Med Univ, Affiliated Hosp 1, Dept Breast & Thyroid Surg, Chongqing 400016, Peoples R China
[2] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Sch Med, Dept Breast Surg, Chengdu 610072, Peoples R China
[3] West China Hlth Valley, Chengdu OrganoidMed Med Lab, Chengdu, Peoples R China
关键词
Malignant phyllodes tumours; patient-derived organoid; drug testing; IC50; targeted drugs; DIFFERENTIAL-DIAGNOSIS; CANCER ORGANOIDS; CELL-CYCLE; BREAST; MANAGEMENT; RECQL4; KI-67; CD34; CD10; P53;
D O I
10.1080/1061186X.2025.2473010
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background: Malignant phyllodes tumours (MPT) of the breast are rare fibroepithelial neoplasms. It exhibits rapid growth, large size, and a high local recurrence rate. Methods: In this study, we established novel patient-derived organoid (PDO) models from two primary MPT samples and conducted comprehensive genetic profiling and drug screening. Results: The PDO models faithfully recapped the histopathological and molecular features of the primary tumours, including stromal overgrowth, leaf-like projections, and the expression of key diagnostic markers. Drug testing revealed significant heterogeneity in response profiles to chemotherapeutic reagents between the two MPT-derived organoids, implying the importance of personalised drug testing. Next-generation sequencing analysis identified recurrent mutations in TP53, RB1, EGFR, ATM, and RECQL4, which correlated with the drug sensitivity profiles observed in the organoid models. Targeted therapeutic drugs, such as Abemaciclib (targeting the RB1 pathway) with an IC50 value of 1.744 mu M, and Alflutinib Mesylate (targeting the EGFR pathway) with an IC50 value of 0.9150 mu M, exhibited significant cytotoxic effects in the MPT2 organoid models. Conclusions: This study highlights the novel application of PDOs for studying the molecular landscape of MPTs and identifying effective therapeutic targets, offering a promising platform for guiding personalised treatment strategies for this rare and challenging cancer.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Patient-derived prostate cancer cells for piloting of drug sensitivity and resistance testing
    Saeed, Khalid
    Rahkama, Vesa
    Eldfors, Samuli
    Bychkov, Dmitry
    Mpindi, John Patrick
    Yadav, Bhagwan
    Paavolainen, Lassi
    Aittokallio, Tero
    Wennerberg, Krister
    Peehl, Donna M.
    Horvath, Peter
    Mirtti, Tuomas
    Rannikko, Antti
    Kallioniemi, Olli
    Ostling, Paivi
    af Hallstrom, Taija M.
    BJU INTERNATIONAL, 2015, 116 : 49 - 49
  • [32] Patient-Derived Bladder Cancer Organoids: Model Construction and Drug Sensitivity Testing
    Liu, Runze
    Zhang, Yong
    Zhou, Zhongbao
    UROLOGIA INTERNATIONALIS, 2025,
  • [33] Comparison of drug responses using patient-derived xenograft (PDX) and patient-derived organoid (PDO) models from treatment-refractory breast cancer
    Ryu, Jin-Sun
    Noh, You-sun
    Kim, Bo-Ra
    Kim, Yun-Hee
    Jeon, A-Ra
    Sim, Sung Hoon
    Park, In Hae
    Lee, Eun Gyeong
    Lee, Eun Sook
    Lee, Keun Seok
    Kong, Sun-Young
    CANCER RESEARCH, 2020, 80 (16)
  • [34] Patient-derived xenograft models of non-small cell lung cancer for evaluating targeted drug sensitivity and resistance
    Kita, Kenji
    Fukuda, Koji
    Takahashi, Hiro
    Tanimoto, Azusa
    Nishiyama, Akihiro
    Arai, Sachiko
    Takeuchi, Shinji
    Yamashita, Kaname
    Ohtsubo, Koshiro
    Otani, Sakiko
    Yanagimura, Naohiro
    Suzuki, Chiaki
    Ikeda, Hiroko
    Tamura, Masaya
    Matsumoto, Isao
    Yano, Seiji
    CANCER SCIENCE, 2019, 110 (10) : 3215 - 3224
  • [35] Multiplexed live-cell imaging for drug responses in patient-derived organoid models of endometrial cancer
    Colling, Kaitriana E.
    Symons, Emily L.
    Sumanasiri, Hiruni K.
    Thiel, Kristina W.
    CLINICAL CANCER RESEARCH, 2024, 30 (05)
  • [36] Neuroblastoma patient-derived orthotopic xenografts: Clinically relevant models for drug testing
    Braekeveldt, Noemie
    Wigerup, Caroline
    Gisselsson, David
    Mohlin, Sofie
    Merselius, My
    Beckman, Siv
    Tadeo, Irene
    Berbegall, Anna P.
    Ora, Ingrid
    Navarro, Samuel
    Noguera, Rosa
    Pahlman, Sven
    Bexell, Daniel
    CANCER RESEARCH, 2016, 76
  • [37] Therapeutic vulnerability of malignant phyllodes tumour to pazopanib identified through a novel patient-derived xenograft and cell line model
    Ng, D. Y. X.
    Li, Z.
    Lee, E.
    Koh, J.
    Ng, C. C. Y.
    Lim, A.
    Wei, L.
    Ng, S. R.
    Lim, K. S.
    Sim, Y.
    Thike, A. A.
    Nur, D. B. M. N.
    Tan, P. H.
    Teh, B. T.
    Chan, J. Y.
    ANNALS OF ONCOLOGY, 2020, 31 : S1264 - S1264
  • [38] Patient-derived model systems of endometrial cancers for disease modeling and drug sensitivity testing
    Li, Tianyue
    Huang, Xiaohao
    Rosenmeyer, Riley
    Robinson, Samuel
    Salsabil, Kazi
    Xiong, Yiqin
    Meng, Xiangbing
    Yang, Shujie
    CANCER RESEARCH, 2024, 84 (06)
  • [39] Gastric cancer in the age of targeted agents: identification and validation of novel therapeutic strategies through the generation of a patient-derived xenografts platform
    Menegon, Silvia
    Apicella, Maria
    Migliore, Cristina
    Capeloa, Tania
    Cargnelutti, Marilisa
    Degiuli, Maurizio
    Sapino, Anna
    Cassoni, Paola
    De Simone, Michele
    Comoglio, Paolo M.
    Marsoni, Silvia
    Corso, Simona
    Giordano, Silvia
    CANCER RESEARCH, 2016, 76
  • [40] Clinical Relevance of Patient-Derived Organoid of Surgically Resected Lung Cancer as an In Vitro Model for Biomarker and Drug Testing
    Koga, Takamasa
    Soh, Junichi
    Hamada, Akira
    Miyano, Yuki
    Fujino, Toshio
    Obata, Keiko
    Ohara, Shuta
    Nishino, Masaya
    Chiba, Masato
    Shimoji, Masaki
    Takemoto, Toshiki
    Suda, Kenichi
    Sakai, Kazuko
    Sato, Hidenori
    Mitsudomi, Tetsuya
    JTO CLINICAL AND RESEARCH REPORTS, 2023, 4 (09):