Patient Characteristics Associated with Growth of Patient-Derived Tumor Implants in Mice (Patient-Derived Xenografts)

被引:0
|
作者
Guerrero, Tatiana Hernandez [1 ]
Banos, Natalia [2 ]
Nevado, Laura del Puerto [3 ]
Mahillo-Fernandez, Ignacio [2 ,3 ]
De-Speville, Bernard Doger [2 ]
Calvo, Emiliano [4 ]
Wick, Michael [5 ]
Garcia-Foncillas, Jesus [2 ,3 ]
Moreno, Victor [2 ]
机构
[1] START Barcelona HM Nou Delfos, Avinguda Vallcarca 151, Barcelona 08023, Spain
[2] START Madrid Fdn Jimenez Diaz Univ Hosp, Ave Reyes Catolicos 2, Madrid 28040, Spain
[3] IIS Fdn Jimenez Diaz UAM, Translat Oncol Div, Madrid 28040, Spain
[4] START Madrid CIOCC HM Sanchinarro, C Ona 10, Madrid 28050, Spain
[5] XENOStart START San Antonio, 4383 Med Dr, San Antonio, TX 78229 USA
关键词
patient-derived xenografts; PDX; mice; models; translational; prediction; engraftment; tumor growth; cancer; oncology; preclinical; SERUM LACTATE-DEHYDROGENASE; MISMATCH REPAIR DEFICIENCY; NUDE-MICE; OVARIAN-CANCER; LUNG CANCERS; CELL-LINES; MODELS; ESTABLISHMENT; SURVIVAL; TRANSPLANTATION;
D O I
10.3390/cancers15225402
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: patient-derived xenografts (PDXs) have defined the field of translational cancer research in recent years, becoming one of the most-used tools in early drug development. The process of establishing cancer models in mice has turned out to be challenging, since little research focuses on evaluating which factors impact engraftment success. We sought to determine the clinical, pathological, or molecular factors which may predict better engraftment rates in PDXs. Methods: between March 2017 and January 2021, tumor samples obtained from patients with primary or metastatic cancer were implanted into athymic nude mice. A full comprehensive evaluation of baseline factors associated with the patients and patients' tumors was performed, with the goal of potentially identifying predictive markers of engraftment. We focused on clinical (patient factors) pathological (patients' tumor samples) and molecular (patients' tumor samples) characteristics, analyzed either by immunohistochemistry (IHC) or next-generation sequencing (NGS), which were associated with the likelihood of final engraftment, as well as with tumor growth rates in xenografts. Results: a total of 585 tumor samples were collected and implanted. Twenty-one failed to engraft, due to lack of malignant cells. Of 564 tumor-positive samples, 187 (33.2%) grew at time of analysis. The study was able to find correlation and predictive value for engraftment for the following: the use of systemic antibiotics by the patient within 2 weeks of sampling (38.1% (72/189) antibiotics- group vs. 30.7% (115/375) no-antibiotics) (p = 0.048), and the administration of systemic steroids to the patients within 2 weeks of sampling (41.5% (34/48) steroids vs. 31.7% (153/329), no-steroids) (p = 0.049). Regarding patient's baseline tests, we found certain markers could help predict final engraftment success: for lactate dehydrogenase (LDH) levels, 34.1% (140/411) of tumors derived from patients with baseline blood LDH levels above the upper limit of normality (ULN) achieved growth, against 30.7% (47/153) with normal LDH (p = 0.047). Histological tumor characteristics, such as grade of differentiation, were also correlated. Grade 1: 25.4% (47/187), grade 2: 34.8% (65/187) and grade 3: 40.1% (75/187) tumors achieved successful growth (p = 0.043), suggesting the higher the grade, the higher the likelihood of success. Similarly, higher ki67 levels were also correlated with better engraftment rates: low (Ki67 < 15%): 8.9% (9/45) achieved growth vs. high (Ki67 >= 15%): 31% (35/113) (p: 0.002). Other markers of aggressiveness such as the presence of lymphovascular invasion in tumor sample of origin was also predictive: 42.2% (97/230) with lymphovascular vs. 26.9% (90/334) of samples with no invasion (p = 0.0001). From the molecular standpoint, mismatch-repair-deficient (MMRd) tumors showed better engraftment rates: 62.1% (18/29) achieved growth vs. 40.8% (75/184) of proficient tumors (p = 0.026). A total of 84 PDX were breast models, among which 57.9% (11/19) ER-negative models grew, vs. 15.4% (10/65) of ER-positive models (p = 0.0001), also consonant with ER-negative tumors being more aggressive. BRAFmut cancers are more likely to achieve engraftment during the development of PDX models. Lastly, tumor growth rates during first passages can help establish a cutoff point for the decision-making process during PDX development, since the higher the tumor grades, the higher the likelihood of success. Conclusions: tumors with higher grade and Ki67 protein expression, lymphovascular and/or perineural invasion, with dMMR and are negative for ER expression have a higher probability of achieving growth in the process of PDX development. The use of steroids and/or antibiotics in the patient prior to sampling can also impact the likelihood of success in PDX development. Lastly, establishing a cutoff point for tumor growth rates could guide the decision-making process during PDX development.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Patient-derived tumor immune microenvironments in patient-derived xenografts of lung cancer
    Pu, Xingxiang
    Zhang, Ran
    Wang, Li
    Chen, Yungchang
    Xu, Yi
    Pataer, Apar
    Meraz, Ismail M.
    Zhang, Xiaoshan
    Wu, Shuhong
    Wu, Lin
    Su, Dan
    Mao, Weimin
    Heymach, John V.
    Roth, Jack A.
    Swisher, Stephen G.
    Fang, Bingliang
    JOURNAL OF TRANSLATIONAL MEDICINE, 2018, 16
  • [2] Patient-derived tumor immune microenvironments in patient-derived xenografts of lung cancer
    Xingxiang Pu
    Ran Zhang
    Li Wang
    Yungchang Chen
    Yi Xu
    Apar Pataer
    Ismail M. Meraz
    Xiaoshan Zhang
    Shuhong Wu
    Lin Wu
    Dan Su
    Weimin Mao
    John V. Heymach
    Jack A. Roth
    Stephen G. Swisher
    Bingliang Fang
    Journal of Translational Medicine, 16
  • [3] Opportunities and challenges of patient-derived models in cancer research: patient-derived xenografts, patient-derived organoid and patient-derived cells
    Hou, Xiaoying
    Du, Cong
    Lu, Ligong
    Yuan, Shengtao
    Zhan, Meixiao
    You, Pengtao
    Du, Hongzhi
    WORLD JOURNAL OF SURGICAL ONCOLOGY, 2022, 20 (01)
  • [4] Opportunities and challenges of patient-derived models in cancer research: patient-derived xenografts, patient-derived organoid and patient-derived cells
    Xiaoying Hou
    Cong Du
    Ligong Lu
    Shengtao Yuan
    Meixiao Zhan
    Pengtao You
    Hongzhi Du
    World Journal of Surgical Oncology, 20
  • [5] Patient-Derived Tumor Xenografts Why Now?
    Liu, Edison T.
    Bult, Carol J.
    Shultz, Leonard D.
    JAMA ONCOLOGY, 2016, 2 (05) : 567 - 568
  • [6] Patient-derived murine xenografts
    Annette Fenner
    Nature Reviews Urology, 2015, 12 (10) : 536 - 536
  • [7] Maintaining Tumor Heterogeneity in Patient-Derived Tumor Xenografts
    Cassidy, John W.
    Caldas, Carlos
    Bruna, Alejandra
    CANCER RESEARCH, 2015, 75 (15) : 2963 - 2968
  • [8] CHARACTERIZATION OF PATIENT-DERIVED TUMOR SPHERES AND XENOGRAFTS FOR GLIOBLASTOMA
    Kijima, Noriyuki
    Kanematsu, Daisuke
    Shofuda, Tomoko
    Yoshioka, Ema
    Handa, Yukako
    Moriuchi, Shusuke
    Nonaka, Masahiro
    Okita, Yoshiko
    Tsuyuguchi, Naohiro
    Fukai, Junya
    Higuchi, Yuichiro
    Suemizu, Hiroshi
    Kanemura, Yonehiro
    NEURO-ONCOLOGY, 2017, 19 : 258 - 258
  • [9] The future of patient-derived tumor xenografts in cancer treatment
    Sia, Daniela
    Moeini, Agrin
    Labgaa, Ismail
    Villanueva, Augusto
    PHARMACOGENOMICS, 2015, 16 (14) : 1671 - 1683
  • [10] Uveal Melanoma Patient-Derived Xenografts
    Carita, Guillaume
    Nemati, Fariba
    Decaudin, Didier
    OCULAR ONCOLOGY AND PATHOLOGY, 2015, 1 (03) : 161 - 169