Literature DB >> 32299813

Patient-Derived Organoids from Multiple Colorectal Cancer Liver Metastases Reveal Moderate Intra-patient Pharmacotranscriptomic Heterogeneity.

Jarle Bruun1,2, Kushtrim Kryeziu1,2, Peter W Eide1,2, Seyed H Moosavi1,2,3, Ina A Eilertsen1,2,3, Jonas Langerud1,2,3, Bård Røsok2,4, Max Z Totland1,2, Tuva H Brunsell1,2,3,5, Teijo Pellinen6, Jani Saarela6, Christian H Bergsland1,2,3, Hector G Palmer7, Kristoffer W Brudvik2,4, Tormod Guren2,8, Rodrigo Dienstmann7, Marianne G Guren2,8, Arild Nesbakken2,3,5, Bjørn Atle Bjørnbeth2,4, Anita Sveen1,2,3, Ragnhild A Lothe9,2,3.   

Abstract

PURPOSE: Molecular tumor heterogeneity may have important implications for the efficacy of targeted therapies in metastatic cancers. Inter-metastatic heterogeneity of sensitivity to anticancer agents has not been well explored in colorectal cancer. EXPERIMENTAL
DESIGN: We established a platform for ex vivo pharmacogenomic profiling of patient-derived organoids (PDO) from resected colorectal cancer liver metastases. Drug sensitivity testing (n = 40 clinically relevant agents) and gene expression profiling were performed on 39 metastases from 22 patients.
RESULTS: Three drug-response clusters were identified among the colorectal cancer metastases, based primarily on sensitivities to EGFR and/or MDM2 inhibition, and corresponding with RAS mutations and TP53 activity. Potentially effective therapies, including off-label use of drugs approved for other cancer types, could be nominated for eighteen patients (82%). Antimetabolites and targeted agents lacking a decisive genomic marker had stronger differential activity than most approved chemotherapies. We found limited intra-patient drug sensitivity heterogeneity between PDOs from multiple (2-5) liver metastases from each of ten patients. This was recapitulated at the gene expression level, with a highly proportional degree of transcriptomic and pharmacological variation. One PDO with a multi-drug resistance profile, including resistance to EGFR inhibition in a RAS-mutant background, showed sensitivity to MEK plus mTOR/AKT inhibition, corresponding with low-level PTEN expression.
CONCLUSIONS: Intra-patient inter-metastatic pharmacological heterogeneity was not pronounced and ex vivo drug screening may identify novel treatment options for metastatic colorectal cancer. Variation in drug sensitivities was reflected at the transcriptomic level, suggesting potential to develop gene expression-based predictive signatures to guide experimental therapies. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 32299813     DOI: 10.1158/1078-0432.CCR-19-3637

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  26 in total

Review 1.  Modeling colorectal cancers using multidimensional organoids.

Authors:  Ibrahim M Sayed; Amer Ali Abd El-Hafeez; Priti P Maity; Soumita Das; Pradipta Ghosh
Journal:  Adv Cancer Res       Date:  2021-03-26       Impact factor: 6.242

2.  Patient-derived organoids as a preclinical platform for precision medicine in colorectal cancer.

Authors:  Young-Won Cho; Dong-Wook Min; Hwang-Phill Kim; Yohan An; Sheehyun Kim; Jeonghwan Youk; Jaeyoung Chun; Jong Pil Im; Sang-Hyun Song; Young Seok Ju; Sae-Won Han; Kyu Joo Park; Tae-You Kim
Journal:  Mol Oncol       Date:  2022-01-01       Impact factor: 7.449

Review 3.  Patient-Derived Tumor Organoids for Drug Repositioning in Cancer Care: A Promising Approach in the Era of Tailored Treatment.

Authors:  Silvia Vivarelli; Saverio Candido; Giuseppe Caruso; Luca Falzone; Massimo Libra
Journal:  Cancers (Basel)       Date:  2020-12-04       Impact factor: 6.639

4.  A Comparative Oncology Drug Discovery Pipeline to Identify and Validate New Treatments for Osteosarcoma.

Authors:  Jason A Somarelli; Gabrielle Rupprecht; Erdem Altunel; Etienne M Flamant; Sneha Rao; Dharshan Sivaraj; Alexander L Lazarides; Sarah M Hoskinson; Maya U Sheth; Serene Cheng; So Young Kim; Kathryn E Ware; Anika Agarwal; Mark M Cullen; Laura E Selmic; Jeffrey I Everitt; Shannon J McCall; Cindy Eward; William C Eward; David S Hsu
Journal:  Cancers (Basel)       Date:  2020-11-11       Impact factor: 6.639

Review 5.  Advances in colon cancer research: in vitro and animal models.

Authors:  Tamsin Rm Lannagan; Rene Jackstadt; Simon J Leedham; Owen J Sansom
Journal:  Curr Opin Genet Dev       Date:  2021-01-07       Impact factor: 5.578

6.  Optimizing individualized treatment strategy based on breast cancer organoid model.

Authors:  Bo Pan; Xuelu Li; Dongyi Zhao; Ning Li; Kainan Wang; Man Li; Zuowei Zhao
Journal:  Clin Transl Med       Date:  2021-04

Review 7.  Bioinformatic Approaches to Validation and Functional Analysis of 3D Lung Cancer Models.

Authors:  P Jonathan Li; Jeroen P Roose; David M Jablons; Johannes R Kratz
Journal:  Cancers (Basel)       Date:  2021-02-09       Impact factor: 6.639

Review 8.  Genetic and biological hallmarks of colorectal cancer.

Authors:  Jiexi Li; Xingdi Ma; Deepavali Chakravarti; Shabnam Shalapour; Ronald A DePinho
Journal:  Genes Dev       Date:  2021-06       Impact factor: 11.361

Review 9.  Organoids and Colorectal Cancer.

Authors:  Antonio Barbáchano; Asunción Fernández-Barral; Pilar Bustamante-Madrid; Isabel Prieto; Nuria Rodríguez-Salas; María Jesús Larriba; Alberto Muñoz
Journal:  Cancers (Basel)       Date:  2021-05-28       Impact factor: 6.639

10.  Metastatic heterogeneity of the consensus molecular subtypes of colorectal cancer.

Authors:  Peter W Eide; Seyed H Moosavi; Ina A Eilertsen; Tuva H Brunsell; Jonas Langerud; Kaja C G Berg; Bård I Røsok; Bjørn A Bjørnbeth; Arild Nesbakken; Ragnhild A Lothe; Anita Sveen
Journal:  NPJ Genom Med       Date:  2021-07-14       Impact factor: 8.617

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