Literature DB >> 28842744

Multisite tumor sampling enhances the detection of intratumor heterogeneity at all different temporal stages of tumor evolution.

Asier Erramuzpe1, Jesús M Cortés1,2,3, José I López4,5,6.   

Abstract

Intratumor heterogeneity (ITH) is an inherent process of tumor development that has received much attention in previous years, as it has become a major obstacle for the success of targeted therapies. ITH is also temporally unpredictable across tumor evolution, which makes its precise characterization even more problematic since detection success depends on the precise temporal snapshot at which ITH is analyzed. New and more efficient strategies for tumor sampling are needed to overcome these difficulties which currently rely entirely on the pathologist's interpretation. Recently, we showed that a new strategy, the multisite tumor sampling, works better than the routine sampling protocol for the ITH detection when the tumor time evolution was not taken into consideration. Here, we extend this work and compare the ITH detections of multisite tumor sampling and routine sampling protocols across tumor time evolution, and in particular, we provide in silico analyses of both strategies at early and late temporal stages for four different models of tumor evolution (linear, branched, neutral, and punctuated). Our results indicate that multisite tumor sampling outperforms routine protocols in detecting ITH at all different temporal stages of tumor evolution. We conclude that multisite tumor sampling is more advantageous than routine protocols in detecting intratumor heterogeneity.

Entities:  

Keywords:  Divide and conquer algorithm; In silico analysis; Intratumor heterogeneity; Personalized; Personalized therapy; Tumor evolution; Tumor sampling

Mesh:

Year:  2017        PMID: 28842744     DOI: 10.1007/s00428-017-2223-y

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.064


  36 in total

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Authors:  José I López; Jesús M Cortés
Journal:  Hum Pathol       Date:  2017-02-23       Impact factor: 3.466

Review 3.  Future perspectives of circulating tumor DNA in colorectal cancer.

Authors:  C Nadal; T Winder; A Gerger; David Tougeron
Journal:  Tumour Biol       Date:  2017-05

4.  Many private mutations originate from the first few divisions of a human colorectal adenoma.

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Journal:  J Pathol       Date:  2015-08-03       Impact factor: 7.996

5.  Regional biases in mutation screening due to intratumoural heterogeneity of prostate cancer.

Authors:  Tae-Min Kim; Seung-Hyun Jung; In-Pyo Baek; Sung-Hak Lee; Youn-Jin Choi; Ji-Youl Lee; Yeun-Jun Chung; Sug-Hyung Lee
Journal:  J Pathol       Date:  2014-08       Impact factor: 7.996

6.  Competition and natural selection in a mathematical model of cancer.

Authors:  John D Nagy
Journal:  Bull Math Biol       Date:  2004-07       Impact factor: 1.758

7.  Genomic architecture and evolution of clear cell renal cell carcinomas defined by multiregion sequencing.

Authors:  Marco Gerlinger; Stuart Horswell; James Larkin; Andrew J Rowan; Max P Salm; Ignacio Varela; Rosalie Fisher; Nicholas McGranahan; Nicholas Matthews; Claudio R Santos; Pierre Martinez; Benjamin Phillimore; Sharmin Begum; Adam Rabinowitz; Bradley Spencer-Dene; Sakshi Gulati; Paul A Bates; Gordon Stamp; Lisa Pickering; Martin Gore; David L Nicol; Steven Hazell; P Andrew Futreal; Aengus Stewart; Charles Swanton
Journal:  Nat Genet       Date:  2014-02-02       Impact factor: 38.330

8.  Intratumor Heterogeneity in Primary Kidney Cancer Revealed by Metabolic Profiling of Multiple Spatially Separated Samples within Tumors.

Authors:  Takatsugu Okegawa; Megumi Morimoto; Satoru Nishizawa; Satoshi Kitazawa; Kohei Honda; Hideo Araki; Toshiya Tamura; Ayumi Ando; Yoshinori Satomi; Kikuo Nutahara; Takahito Hara
Journal:  EBioMedicine       Date:  2017-04-06       Impact factor: 8.143

9.  Clonal evolution in breast cancer revealed by single nucleus genome sequencing.

Authors:  Yong Wang; Jill Waters; Marco L Leung; Anna Unruh; Whijae Roh; Xiuqing Shi; Ken Chen; Paul Scheet; Selina Vattathil; Han Liang; Asha Multani; Hong Zhang; Rui Zhao; Franziska Michor; Funda Meric-Bernstam; Nicholas E Navin
Journal:  Nature       Date:  2014-07-30       Impact factor: 49.962

10.  A multi-site cutting device implements efficiently the divide-and-conquer strategy in tumor sampling.

Authors:  Jose I Lopez; Jesus M Cortes
Journal:  F1000Res       Date:  2016-07-06
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  5 in total

1.  Electrochemical Evaluation of Tumor Development via Cellular Interface Supported CRISPR/Cas Trans-Cleavage.

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Review 2.  The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling.

Authors:  Estíbaliz López-Fernández; José I López
Journal:  Cancers (Basel)       Date:  2018-12-04       Impact factor: 6.639

3.  Towards Personalized Sampling in Clear Cell Renal Cell Carcinomas.

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Review 4.  Intratumor and Intertumor Heterogeneity in Melanoma.

Authors:  Tomasz M Grzywa; Wiktor Paskal; Paweł K Włodarski
Journal:  Transl Oncol       Date:  2017-10-24       Impact factor: 4.243

5.  Spatially mapped single-cell chromatin accessibility.

Authors:  Casey A Thornton; Ryan M Mulqueen; Kristof A Torkenczy; Andrew Nishida; Eve G Lowenstein; Andrew J Fields; Frank J Steemers; Wenri Zhang; Heather L McConnell; Randy L Woltjer; Anusha Mishra; Kevin M Wright; Andrew C Adey
Journal:  Nat Commun       Date:  2021-02-24       Impact factor: 14.919

  5 in total

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