Literature DB >> 30467556

Patient-derived Models Reveal Impact of the Tumor Microenvironment on Therapeutic Response.

Ayesha A Shafi1, Matthew J Schiewer1, Renée de Leeuw1, Emanuela Dylgjeri1, Peter A McCue1, Neelima Shah2, Leonard G Gomella1,3, Costas D Lallas1,3, Edouard J Trabulsi1,3, Margaret M Centenera4,5, Theresa E Hickey4, Lisa M Butler4,5, Ganesh Raj6, Wayne D Tilley4, Edna Cukierman2, Karen E Knudsen1,3,7.   

Abstract

BACKGROUND: Androgen deprivation therapy is a first-line treatment for disseminated prostate cancer (PCa). However, virtually all tumors become resistant and recur as castration-resistant PCa, which has no durable cure. One major hurdle in the development of more effective therapies is the lack of preclinical models that adequately recapitulate the heterogeneity of PCa, significantly hindering the ability to accurately predict therapeutic response.
OBJECTIVE: To leverage the ex vivo culture method termed patient-derived explant (PDE) to examine the impact of PCa therapeutics on a patient-by-patient basis. DESIGN SETTING AND PARTICIPANTS: Fresh PCa tissue from patients who underwent radical prostatectomy was cultured as PDEs to examine therapeutic response. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The impact of genomic and chemical perturbations in PDEs was assessed using various parameters (eg, AR levels, Ki67 staining, and desmoplastic indices). RESULTS AND LIMITATIONS: PDE maintained the integrity of the native tumor microenvironment (TME), tumor tissue morphology, viability, and endogenous hormone signaling. Tumor cells in this model system exhibited de novo proliferative capacity. Examination of the native TME in the PDE revealed a first-in-field insight into patient-specific desmoplastic stromal indices and predicted responsiveness to AR-directed therapeutics.
CONCLUSIONS: The PDE model allows for a comprehensive evaluation of individual tumors in their native TME to ultimately develop more effective therapeutic regimens tailored to individuals. Discernment of novel stromal markers may provide a basis for applying precision medicine in treating advanced PCa, which would have a transformative effect on patient outcomes. PATIENT
SUMMARY: In this study, an innovative model system was used to more effectively mimic human disease. The patient-derived explant (PDE) system can be used to predict therapeutic response and identify novel targets in advanced disease. Thus, the PDE will be an asset for the development of novel metrics for the implementation of precision medicine in prostate cancer.The patient-derived explant (PDE) model allows for a comprehensive evaluation of individual human tumors in their native tumor microenvironment (TME). TME analysis revealed first-in-field insight into predicted tumor responsiveness to AR-directed therapeutics through evaluation of patient-specific desmoplastic stromal indices.

Entities:  

Keywords:  Androgen receptor; Ex vivo; Prostate cancer; Tumor microenvironment

Year:  2018        PMID: 30467556      PMCID: PMC6241309          DOI: 10.1016/j.euo.2018.04.019

Source DB:  PubMed          Journal:  Eur Urol Oncol        ISSN: 2588-9311


  51 in total

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10.  Human ex vivo prostate tissue model system identifies ING3 as an oncoprotein.

Authors:  Urszula L McClurg; Arash Nabbi; Charles Ricordel; Svitlana Korolchuk; Stuart McCracken; Rakesh Heer; Laura Wilson; Lisa M Butler; Bronwyn Kate Irving-Hooper; Rémy Pedeux; Craig N Robson; Karl T Riabowol; Olivier Binda
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  17 in total

1.  Pleiotropic Impact of DNA-PK in Cancer and Implications for Therapeutic Strategies.

Authors:  Emanuela Dylgjeri; Christopher McNair; Jonathan F Goodwin; Heather K Raymon; Peter A McCue; Ayesha A Shafi; Benjamin E Leiby; Renée de Leeuw; Vishal Kothari; Jennifer J McCann; Amy C Mandigo; Saswati N Chand; Matthew J Schiewer; Lucas J Brand; Irina Vasilevskaya; Nicolas Gordon; Talya S Laufer; Leonard G Gomella; Costas D Lallas; Edouard J Trabulsi; Felix Y Feng; Ellen H Filvaroff; Kristin Hege; Dana Rathkopf; Karen E Knudsen
Journal:  Clin Cancer Res       Date:  2019-07-02       Impact factor: 12.531

2.  Relevance of humanized three-dimensional tumor tissue models: a descriptive systematic literature review.

Authors:  D Contartese; Francesca Salamanna; F Veronesi; M Fini
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Review 3.  Patient-derived tumour models for personalized therapeutics in urological cancers.

Authors:  Arjanneke F van de Merbel; Geertje van der Horst; Gabri van der Pluijm
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4.  Engineering clinically-relevant human fibroblastic cell-derived extracellular matrices.

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5.  Identification of prognostic genes in the acute myeloid leukemia microenvironment.

Authors:  Shaoxin Huang; Biyu Zhang; Wenyan Fan; Qihan Zhao; Lei Yang; Wang Xin; Denggang Fu
Journal:  Aging (Albany NY)       Date:  2019-11-18       Impact factor: 5.682

Review 6.  Three-Dimensional Cell Cultures as an In Vitro Tool for Prostate Cancer Modeling and Drug Discovery.

Authors:  Fabrizio Fontana; Michela Raimondi; Monica Marzagalli; Michele Sommariva; Nicoletta Gagliano; Patrizia Limonta
Journal:  Int J Mol Sci       Date:  2020-09-16       Impact factor: 5.923

Review 7.  Understanding cell-cell communication and signaling in the colorectal cancer microenvironment.

Authors:  Shaikha AlMusawi; Mehreen Ahmed; Abdolrahman S Nateri
Journal:  Clin Transl Med       Date:  2021-02

8.  Macrophage-Derived Cholesterol Contributes to Therapeutic Resistance in Prostate Cancer.

Authors:  Asmaa El-Kenawi; William Dominguez-Viqueira; Min Liu; Shivanshu Awasthi; Julieta Abraham-Miranda; Aysenur Keske; KayLee K Steiner; Leenil Noel; Amparo N Serna; Jasreman Dhillon; Robert J Gillies; Xiaoqing Yu; John M Koomen; Kosj Yamoah; Robert A Gatenby; Brian Ruffell
Journal:  Cancer Res       Date:  2021-07-23       Impact factor: 12.701

Review 9.  Patient-derived explants (PDEs) as a powerful preclinical platform for anti-cancer drug and biomarker discovery.

Authors:  Ian R Powley; Meeta Patel; Gareth Miles; Howard Pringle; Lynne Howells; Anne Thomas; Catherine Kettleborough; Justin Bryans; Tim Hammonds; Marion MacFarlane; Catrin Pritchard
Journal:  Br J Cancer       Date:  2020-01-02       Impact factor: 7.640

10.  Characterization of somatic mutation-associated microenvironment signatures in acute myeloid leukemia patients based on TCGA analysis.

Authors:  Jun Wang; Feng-Ting Dao; Lu Yang; Ya-Zhen Qin
Journal:  Sci Rep       Date:  2020-11-04       Impact factor: 4.379

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