Cancer cell plasticity: Impact on tumor progression and therapy response DOI
Victoria da Silva-Diz, Laura Lorenzo-Sanz, Adrià Bernat-Peguera

et al.

Seminars in Cancer Biology, Journal Year: 2018, Volume and Issue: 53, P. 48 - 58

Published: Aug. 18, 2018

Language: Английский

Clonal Heterogeneity and Tumor Evolution: Past, Present, and the Future DOI Creative Commons
Nicholas McGranahan, Charles Swanton

Cell, Journal Year: 2017, Volume and Issue: 168(4), P. 613 - 628

Published: Feb. 1, 2017

Language: Английский

Citations

2354
Every step of the way: integrins in cancer progression and metastasis DOI
Hellyeh Hamidi, Johanna Ivaska

Nature reviews. Cancer, Journal Year: 2018, Volume and Issue: 18(9), P. 533 - 548

Published: July 12, 2018

Language: Английский

Citations

1216
Eleven grand challenges in single-cell data science DOI Creative Commons

David Lähnemann,

Johannes Köster, Ewa Szczurek

et al.

Genome biology, Journal Year: 2020, Volume and Issue: 21(1)

Published: Feb. 7, 2020

Abstract The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell technology. Thousands—or even millions—of cells analyzed a single experiment amount to data revolution biology pose unique science problems. Here, we outline eleven challenges that will be central bringing this emerging field of forward. For each challenge, highlight motivating research questions, review prior work, formulate open This compendium is for established researchers, newcomers, students alike, highlighting interesting rewarding problems the coming years.

Language: Английский

Citations

1037
Intra-tumor heterogeneity from a cancer stem cell perspective DOI Creative Commons
Pramudita R. Prasetyanti, Jan Paul Medema

Molecular Cancer, Journal Year: 2017, Volume and Issue: 16(1)

Published: Feb. 16, 2017

Tumor heterogeneity represents an ongoing challenge in the field of cancer therapy. Heterogeneity is evident between cancers from different patients (inter-tumor heterogeneity) and within a single tumor (intra-tumor heterogeneity). The latter includes phenotypic diversity such as cell surface markers, (epi)genetic abnormality, growth rate, apoptosis other hallmarks that eventually drive disease progression treatment failure. Cancer stem cells (CSCs) have been put forward to be one determining factors contribute intra-tumor heterogeneity. However, recent findings shown stem-like state given plastic quality. A corollary this view stemness traits can acquired via modification and/or interaction with microenvironment (TME). Here we discuss contributing CSC potential implications for

Language: Английский

Citations

657
The mathematics of cancer: integrating quantitative models DOI
Philipp M. Altrock, Lin Liu,

Franziska Michor

et al.

Nature reviews. Cancer, Journal Year: 2015, Volume and Issue: 15(12), P. 730 - 745

Published: Nov. 24, 2015

Language: Английский

Citations

647
Chromothripsis and Kataegis Induced by Telomere Crisis DOI Creative Commons
John Maciejowski, Yilong Li,

Nazario Bosco

et al.

Cell, Journal Year: 2015, Volume and Issue: 163(7), P. 1641 - 1654

Published: Dec. 1, 2015

Language: Английский

Citations

618
Comprehensive Transcriptional Analysis of Early-Stage Urothelial Carcinoma DOI Creative Commons

Jakob Hedegaard,

Philippe Lamy, Iver Nordentoft

et al.

Cancer Cell, Journal Year: 2016, Volume and Issue: 30(1), P. 27 - 42

Published: June 21, 2016

Language: Английский

Citations

555
Three-dimensional manipulation of single cells using surface acoustic waves DOI Open Access
Feng Guo,

Zhangming Mao,

Yuchao Chen

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2016, Volume and Issue: 113(6), P. 1522 - 1527

Published: Jan. 25, 2016

Significance We present 3D acoustic tweezers, which can trap and manipulate single cells particles along three mutually orthogonal axes of motion by recourse to surface waves. use tweezers pick up cells, or entire cell assemblies, deliver them desired locations create 2D patterns, print the into complex shapes. This technology is thus shown offer better performance over prior manipulation techniques in terms both accurate precise a noninvasive, label-free, contactless manner. method offers potential accurately multicellular architectures for applications biomanufacturing, tissue engineering, regenerative medicine, neuroscience, cancer metastasis research.

Language: Английский

Citations

533
Fate mapping of human glioblastoma reveals an invariant stem cell hierarchy DOI
Xiaoyang Lan, David J. Jörg, Florence M.G. Cavalli

et al.

Nature, Journal Year: 2017, Volume and Issue: 549(7671), P. 227 - 232

Published: Aug. 29, 2017

Language: Английский

Citations

379
Systems Biology of Cancer Metastasis DOI Creative Commons
Yasir Suhail, Margo P. Cain, Kiran Vanaja

et al.

Cell Systems, Journal Year: 2019, Volume and Issue: 9(2), P. 109 - 127

Published: Aug. 1, 2019

Cancer metastasis is no longer viewed as a linear cascade of events but rather series concurrent, partially overlapping processes, successfully metastasizing cells assume new phenotypes while jettisoning older behaviors. The lack systemic understanding this complex phenomenon has limited progress in developing treatments for metastatic disease. Because traditionally been investigated distinct physiological compartments, the integration these and interlinked aspects remains challenge both systems-level experimental computational modeling metastasis. Here, we present some current perspectives on complexity cancer metastasis, multiscale nature its progression, view processes underlying invasive spread cells. We also highlight gaps our well insights emerging from interdisciplinary systems biology approaches to understand phenomenon.

Language: Английский

Citations

371