Literature DB >> 34002049

Selection of metastasis competent subclones in the tumour interior.

Yue Zhao1,2,3,4, Xiao Fu5, Jose I Lopez6, Andrew Rowan1, Lewis Au7,8, Annika Fendler7, Steve Hazell9, Hang Xu10, Stuart Horswell11, Scott T C Shepherd7,8, Lavinia Spain7,8, Fiona Byrne7, Gordon Stamp12, Tim O'Brien13, David Nicol14, Marcellus Augustine1, Ashish Chandra15, Sarah Rudman16, Antonia Toncheva17, Lisa Pickering8, Erik Sahai18, James Larkin8, Paul A Bates19, Charles Swanton20,21,22, Samra Turajlic23,24, Kevin Litchfield25,26.   

Abstract

The genetic evolutionary features of solid tumour growth are becoming increasingly well described, but the spatial and physical nature of subclonal growth remains unclear. Here, we utilize 102 macroscopic whole-tumour images from clear cell renal cell carcinoma patients, with matched genetic and phenotypic data from 756 biopsies. Utilizing a digital image processing pipeline, a renal pathologist marked the boundaries between tumour and normal tissue and extracted positions of boundary line and biopsy regions to X and Y coordinates. We then integrated coordinates with genomic data to map exact spatial subclone locations, revealing how genetically distinct subclones grow and evolve spatially. We observed a phenotype of advanced and more aggressive subclonal growth in the tumour centre, characterized by an elevated burden of somatic copy number alterations and higher necrosis, proliferation rate and Fuhrman grade. Moreover, we found that metastasizing subclones preferentially originate from the tumour centre. Collectively, these observations suggest a model of accelerated evolution in the tumour interior, with harsh hypoxic environmental conditions leading to a greater opportunity for driver somatic copy number alterations to arise and expand due to selective advantage. Tumour subclone growth is predominantly spatially contiguous in nature. We found only two cases of subclone dispersal, one of which was associated with metastasis. The largest subclones spatially were dominated by driver somatic copy number alterations, suggesting that a large selective advantage can be conferred to subclones upon acquisition of these alterations. In conclusion, spatial dynamics is strongly associated with genomic alterations and plays an important role in tumour evolution.

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Mesh:

Year:  2021        PMID: 34002049      PMCID: PMC7611703          DOI: 10.1038/s41559-021-01456-6

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  12 in total

Review 1.  Clear Cell Renal Cell Carcinomas with Aggressive Behavior Display Low Intratumor Heterogeneity at the Histological Level.

Authors:  Claudia Manini; Estíbaliz López-Fernández; Charles H Lawrie; Annick Laruelle; Javier C Angulo; José I López
Journal:  Curr Urol Rep       Date:  2022-04-13       Impact factor: 3.092

2.  Patient-Derived Triple-Negative Breast Cancer Organoids Provide Robust Model Systems That Recapitulate Tumor Intrinsic Characteristics.

Authors:  Melissa Kramer; Suzanne Russo; Payal Naik; Sonam Bhatia; Gayatri Arun; Kyle Brophy; Peter Andrews; Cheng Fan; Charles M Perou; Jonathan Preall; Taehoon Ha; Dennis Plenker; David A Tuveson; Arvind Rishi; John E Wilkinson; W Richard McCombie; Karen Kostroff; David L Spector
Journal:  Cancer Res       Date:  2022-04-01       Impact factor: 13.312

3.  Spatial genomics enables multi-modal study of clonal heterogeneity in tissues.

Authors:  Tongtong Zhao; Zachary D Chiang; Julia W Morriss; Lindsay M LaFave; Evan M Murray; Isabella Del Priore; Kevin Meli; Caleb A Lareau; Naeem M Nadaf; Jilong Li; Andrew S Earl; Evan Z Macosko; Tyler Jacks; Jason D Buenrostro; Fei Chen
Journal:  Nature       Date:  2021-12-15       Impact factor: 69.504

4.  Evolution under Spatially Heterogeneous Selection in Solid Tumors.

Authors:  Guanghao Li; Zuyu Yang; Dafei Wu; Sixue Liu; Xuening Li; Tao Li; Yawei Li; Liji Liang; Weilong Zou; Chung-I Wu; Hurng-Yi Wang; Xuemei Lu
Journal:  Mol Biol Evol       Date:  2022-01-07       Impact factor: 16.240

5.  Evaluation of Response to Immune Checkpoint Inhibitors Using a Radiomics, Lesion-Level Approach.

Authors:  Chorog Song; Hyunjin Park; Ho Yun Lee; Seunghak Lee; Joong Hyun Ahn; Se-Hoon Lee
Journal:  Cancers (Basel)       Date:  2021-12-01       Impact factor: 6.639

Review 6.  Strategies for Improving the Efficacy of CAR T Cells in Solid Cancers.

Authors:  Jon Amund Kyte
Journal:  Cancers (Basel)       Date:  2022-01-23       Impact factor: 6.639

7.  Single-cell RNA sequencing reveals the multi-cellular ecosystem in different radiological components of pulmonary part-solid nodules.

Authors:  Yanmeng Li; Xiao Li; Haiming Chen; Kunkun Sun; Hao Li; Ying Zhou; Jun Wang; Fan Bai; Fan Yang
Journal:  Clin Transl Med       Date:  2022-02

8.  Theranostic Nanoplatform with Sequential SDT and ADV Effects in Response to Well-Programmed LIFU Irradiation for Cervical Cancer.

Authors:  Jun Zhou; Jingxin Hou; Shuling Liu; Jie Xu; Ying Luo; Jun Zheng; Xin Li; Zhigang Wang; Haitao Ran; Dajing Guo
Journal:  Int J Nanomedicine       Date:  2021-12-07

Review 9.  Spatial omics: Navigating to the golden era of cancer research.

Authors:  Yingcheng Wu; Yifei Cheng; Xiangdong Wang; Jia Fan; Qiang Gao
Journal:  Clin Transl Med       Date:  2022-01

Review 10.  Profiling Cancer Cells by Cell-SELEX: Use of Aptamers for Discovery of Actionable Biomarkers and Therapeutic Applications Thereof.

Authors:  Sarah Shigdar; Lisa Agnello; Monica Fedele; Simona Camorani; Laura Cerchia
Journal:  Pharmaceutics       Date:  2021-12-24       Impact factor: 6.321

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