Literature DB >> 30125350

Clonal heterogeneity influences drug responsiveness in renal cancer assessed by ex vivo drug testing of multiple patient-derived cancer cells.

Khalid Saeed1, Poojitha Ojamies1, Teijo Pellinen1, Samuli Eldfors1, Riku Turkki1, Johan Lundin1, Petrus Järvinen2, Harry Nisen2, Kimmo Taari2, Taija M Af Hällström1,3, Antti Rannikko2, Tuomas Mirtti1,4, Olli Kallioniemi1,5, Päivi Östling1,5.   

Abstract

Renal cell cancer (RCC) has become a prototype example of the extensive intratumor heterogeneity and clonal evolution of human cancers. However, there is little direct evidence on how the genetic heterogeneity impacts on drug response profiles of the cancer cells. Our goal was to determine how genomic clonal evolution impacts drug responses. Finding from our study could help to define the challenge that clonal evolution poses on cancer therapy. We established multiple patient-derived cells (PDCs) from different tumor regions of four RCC patients, verified their clonal relationship to each other and to the uncultured tumor tissue by genome sequencing. Furthermore, comprehensive drug-sensitivity testing with 460 oncological drugs was performed on all PDC clones. The PDCs retained many cancer-specific copy number alterations and mutations in driver genes such as VHL, PBRM1, PIK3C2A, KMD5C and TSC2 genes. The drug testing highlighted vulnerability in the PDCs toward approved RCC drugs, such as the mTOR-inhibitor temsirolimus, but also novel sensitivities were uncovered. The individual PDC clones from different tumor regions in a patient showed distinct drug-response profiles, suggesting that genomic heterogeneity contributes to the variability in drug responses. Studies of multiple PDCs from a patient with cancer are informative for elucidating cancer heterogeneity and for the determination on how the genomic evolution is manifested in cancer drug responsiveness. This approach could facilitate tailoring of drugs and drug combinations to individual patients.
© 2018 UICC.

Entities:  

Keywords:  drug sensitivity testing; intratumor heterogeneity; patient-derived cells; precision medicine; renal carcinoma; subclones

Mesh:

Substances:

Year:  2018        PMID: 30125350     DOI: 10.1002/ijc.31815

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  13 in total

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Journal:  World J Urol       Date:  2018-11-28       Impact factor: 4.226

2.  Differential sensitivity of renal carcinoma cells to doxorubicin and epigenetic therapeutics depends on the genetic background.

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Journal:  Mol Cell Biochem       Date:  2021-02-16       Impact factor: 3.396

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5.  Cancer Sample Biobanking at the Next Level: Combining Tissue With Living Cell Repositories to Promote Precision Medicine.

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Journal:  Front Cell Dev Biol       Date:  2019-10-22

Review 6.  Conditional cell reprogramming for modeling host-virus interactions and human viral diseases.

Authors:  Xuefeng Liu; Abdul M Mondal
Journal:  J Med Virol       Date:  2020-06-16       Impact factor: 2.327

7.  Ex Vivo Analysis of Primary Tumor Specimens for Evaluation of Cancer Therapeutics.

Authors:  Cristina E Tognon; Rosalie C Sears; Gordon B Mills; Joe W Gray; Jeffrey W Tyner
Journal:  Annu Rev Cancer Biol       Date:  2020-12-08

8.  In Silico Drug Prescription for Targeting Cancer Patient Heterogeneity and Prediction of Clinical Outcome.

Authors:  Elena Piñeiro-Yáñez; María José Jiménez-Santos; Gonzalo Gómez-López; Fátima Al-Shahrour
Journal:  Cancers (Basel)       Date:  2019-09-13       Impact factor: 6.639

9.  Microbiome within Primary Tumor Tissue from Renal Cell Carcinoma May Be Associated with PD-L1 Expression of the Venous Tumor Thrombus.

Authors:  Michael A Liss; Yidong Chen; Ronald Rodriguez; Deepak Pruthi; Teresa Johnson-Pais; Hanzhang Wang; Ahmed Mansour; James R White; Dharam Kaushik
Journal:  Adv Urol       Date:  2020-02-18

10.  Application Research of Individualized Conditional Reprogramming System to Guide Treatment of Gastric Cancer.

Authors:  Weizhu Zhao; Kai Liu; Zhikun Sun; Longgang Wang; Bing Liu; Luguang Liu; Xianlin Qu; Zhixiang Cao; Jujie Sun; Jie Chai
Journal:  Front Oncol       Date:  2021-07-16       Impact factor: 6.244

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