Literature DB >> 28625393

Establishment and characterization of uterine sarcoma and carcinosarcoma patient-derived xenograft models.

Tine Cuppens1, Jeroen Depreeuw2, Daniela Annibali1, Debby Thomas3, Els Hermans3, Ellen Gommé3, Xuan Bich Trinh4, David Debruyne5, Philippe Moerman6, Diether Lambrechts7, Frédéric Amant8.   

Abstract

OBJECTIVE: Uterine sarcomas (US) and carcinosarcomas (CS) are rare, aggressive cancers. The lack of reliable preclinical models hampers the search for new treatment strategies and predictive biomarkers. To this end, we established and characterized US and CS patient-derived xenograft (PDX) models.
METHODS: Tumor fragments of US and CS were subcutaneously implanted into immunocompromised mice. Engrafted xenograft and original tumors were compared by means of histology, immunohistochemistry, whole-genome low-coverage sequencing for copy number variations, and RNA sequencing.
RESULTS: Of 13 implanted leiomyosarcomas (LMS), 10 engrafted (engraftment rate of 77%). Also 2 out of 7 CS (29%) and one high-grade US (not otherwise specified) models were successfully established. LMS xenografts showed high histological similarity to their corresponding human tumors. Expression of desmin and/or H-caldesmon was detected in 8/10 LMS PDX models. We noticed that in CS models, characterized by the concomitant presence of a mesenchymal and an epithelial component, the relative distribution of the components is varying over the generations, as confirmed by changes in vimentin and cytokeratin expression. The similarity in copy number profiles between original and xenograft tumors ranged from 57.7% to 98.2% for LMS models and from 47.4 to 65.8% for CS models. Expression pattern stability was assessed by clustering RNA expression levels of original and xenograft tumors. Six xenografts clustered together with their original tumor, while 3 (all LMS) clustered apart.
CONCLUSIONS: We present here a panel of clinically annotated uterine sarcoma and carcinosarcoma PDX models, which will be a useful tool for preclinical testing of new therapies.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28625393     DOI: 10.1016/j.ygyno.2017.06.005

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  5 in total

Review 1.  Patient-Derived Xenograft: A More Standard "Avatar" Model in Preclinical Studies of Gastric Cancer.

Authors:  Mingtang Zeng; Chao Pi; Ke Li; Lin Sheng; Ying Zuo; Jiyuan Yuan; Yonggen Zou; Xiaomei Zhang; Wenmei Zhao; Robert J Lee; Yumeng Wei; Ling Zhao
Journal:  Front Oncol       Date:  2022-05-19       Impact factor: 5.738

2.  Gamma Secretase Inhibitors as Potential Therapeutic Targets for Notch Signaling in Uterine Leiomyosarcoma.

Authors:  Yasmin Abedin; Sofia Gabrilovich; Emily Alpert; Erica Rego; Salma Begum; Qingshi Zhao; Debra Heller; Mark H Einstein; Nataki C Douglas
Journal:  Int J Mol Sci       Date:  2022-05-26       Impact factor: 6.208

3.  Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer.

Authors:  Vanessa F Bonazzi; Olga Kondrashova; Deborah Smith; Katia Nones; Asmerom T Sengal; Robert Ju; Leisl M Packer; Lambros T Koufariotis; Stephen H Kazakoff; Aimee L Davidson; Priya Ramarao-Milne; Vanessa Lakis; Felicity Newell; Rebecca Rogers; Claire Davies; James Nicklin; Andrea Garrett; Naven Chetty; Lewis Perrin; John V Pearson; Ann-Marie Patch; Nicola Waddell; Pamela M Pollock
Journal:  Genome Med       Date:  2022-01-10       Impact factor: 11.117

Review 4.  Unique Molecular Features in High-Risk Histology Endometrial Cancers.

Authors:  Pooja Pandita; Xiyin Wang; Devin E Jones; Kaitlyn Collins; Shannon M Hawkins
Journal:  Cancers (Basel)       Date:  2019-10-27       Impact factor: 6.639

Review 5.  Interrogating the Genomic Landscape of Uterine Leiomyosarcoma: A Potential for Patient Benefit.

Authors:  Genevieve V Dall; Anne Hamilton; Gayanie Ratnayake; Clare Scott; Holly Barker
Journal:  Cancers (Basel)       Date:  2022-03-18       Impact factor: 6.639

  5 in total

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