Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer

被引:13
|
作者
Altunel, Erdem [1 ,2 ]
Roghani, Roham S. [1 ,2 ]
Chen, Kai-Yuan [2 ,3 ]
Kim, So Young [4 ]
McCall, Shannon [5 ]
Ware, Kathryn E. [1 ]
Shen, Xiling [2 ,3 ]
Somarelli, Jason A. [1 ]
Hsu, David S. [1 ,2 ]
机构
[1] Duke Univ, Div Med Oncol, Dept Med, Med Ctr, 3008 Snyderman Bldg,905 S LaSalle St, Durham, NC 27710 USA
[2] Duke Univ, Ctr Genom & Computat Biol, Durham, NC 27706 USA
[3] Duke Univ, Dept Biomed Engn, Durham, NC USA
[4] Duke Univ, Duke Funct Genom Core, Durham, NC USA
[5] Duke Univ, Dept Pathol, Durham, NC 27706 USA
关键词
Metastatic colorectal cancer; Patient derived xenograft; High-throughput drug screen; Ponatinib; ENDOTHELIAL GROWTH-FACTOR; FGFR GENETIC ALTERATIONS; CHRONIC MYELOID-LEUKEMIA; TUMOR XENOGRAFTS; TYROSINE KINASE; INHIBITOR; SENSITIVITY; MODELS; TRIAL; FLUOROURACIL;
D O I
10.1186/s12885-020-07090-y
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Metastatic colorectal cancer (CRC) continues to be a major health problem, and current treatments are primarily for disease control and palliation of symptoms. In this study, we developed a precision medicine strategy to discover novel therapeutics for patients with CRC. Methods Six matched low-passage cell lines and patient-derived xenografts (PDX) were established from CRC patients undergoing resection of their cancer. High-throughput drug screens using a 119 FDA-approved oncology drug library were performed on these cell lines, which were then validated in vivo in matched PDXs. RNA-Seq analysis was then performed to identify predictors of response. Results Our study revealed marked differences in response to standard-of-care agents across patients and pinpointed druggable pathways to treat CRC. Among these pathways co-targeting of fibroblast growth factor receptor (FGFR), SRC, platelet derived growth factor receptor (PDGFR), or vascular endothelial growth factor receptor (VEGFR) signaling was found to be an effective strategy. Molecular analyses revealed potential predictors of response to these druggable pathways. Conclusions Our data suggests that the use of matched low-passage cell lines and PDXs is a promising strategy to identify new therapies and pathways to treat metastatic CRC.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer
    Erdem Altunel
    Roham S. Roghani
    Kai-Yuan Chen
    So Young Kim
    Shannon McCall
    Kathryn E. Ware
    Xiling Shen
    Jason A. Somarelli
    David S. Hsu
    BMC Cancer, 20
  • [2] Development of predictive models for personalized, precision medicine in colorectal cancer using machine learning
    Hung, Man
    Hon, Shirley
    Gu, Yushan
    Bounsanga, Jerry
    Hon, Eric
    Hansen, Alec R.
    Nielson, Dominique
    Voss, Maren
    QUALITY OF LIFE RESEARCH, 2017, 26 (01) : 65 - 65
  • [3] Personalized medicine in colorectal cancer: a comprehensive study of precision diagnosis and treatment
    Gila, Fatemeh
    Khoddam, Somayeh
    Jamali, Zahra
    Ghasemian, Mohmmad
    Shakeri, Shayan
    Dehghan, Zeinab
    Fallahi, Jafar
    PERSONALIZED MEDICINE, 2025, 22 (01) : 59 - 81
  • [4] Editorial: Innovative translational research to identify colorectal cancer biomarkers for personalized medicine
    Castellvi-Bel, Sergi
    Carvalho, Beatriz
    FRONTIERS IN GENETICS, 2024, 15
  • [5] Incorporating Novel Technologies in Precision Oncology for Colorectal Cancer: Advancing Personalized Medicine
    Ahluwalia, Pankaj
    Ballur, Kalyani
    Leeman, Tiffanie
    Vashisht, Ashutosh
    Singh, Harmanpreet
    Omar, Nivin
    Mondal, Ashis K.
    Vaibhav, Kumar
    Baban, Babak
    Kolhe, Ravindra
    CANCERS, 2024, 16 (03)
  • [6] ORGANOID DEVELOPMENT IN COLORECTAL CANCER: NEW MODELS FOR PERSONALIZED MEDICINE
    Moret, R. Abad
    Serrano, E. Diaz
    Enriquez, A. B. Suarez
    San Andres, B. Diaz
    Marcos, C. Castillo
    Cordoba, L.
    Campo, C. Fondevila
    Cid, R. Cantero
    BRITISH JOURNAL OF SURGERY, 2024, 111
  • [7] Personalized immunotherapy in cancer precision medicine
    Kazuma Kiyotani
    Yujiro Toyoshima
    Yusuke Nakamura
    Cancer Biology & Medicine, 2021, 18 (04) : 955 - 965
  • [8] Personalized immunotherapy in cancer precision medicine
    Kiyotani, Kazuma
    Toyoshima, Yujiro
    Nakamura, Yusuke
    CANCER BIOLOGY & MEDICINE, 2021, 18 (04) : 955 - 965
  • [9] Personalized immunotherapy in cancer precision medicine
    Kazuma Kiyotani
    Yujiro Toyoshima
    Yusuke Nakamura
    Cancer Biology & Medicine , 2021, (04) : 955 - 965
  • [10] Precision Medicine for Personalized Cancer Therapy
    Wong, Ada Hang-Heng
    Deng, Chu-Xia
    INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES, 2015, 11 (12): : 1410 - 1412