A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity DOI
Bartłomiej Wacław, Ivana Božić, Meredith E. Pittman

et al.

Nature, Journal Year: 2015, Volume and Issue: 525(7568), P. 261 - 264

Published: Aug. 24, 2015

Language: Английский

Radiomics: Images Are More than Pictures, They Are Data DOI Open Access
Robert J. Gillies, Paul E. Kinahan, Hedvig Hricak

et al.

Radiology, Journal Year: 2015, Volume and Issue: 278(2), P. 563 - 577

Published: Nov. 18, 2015

In the past decade, field of medical image analysis has grown exponentially, with an increased number pattern recognition tools and increase in data set sizes. These advances have facilitated development processes for high-throughput extraction quantitative features that result conversion images into mineable subsequent these decision support; this practice is termed radiomics. This contrast to traditional treating as pictures intended solely visual interpretation. Radiomic contain first-, second-, higher-order statistics. are combined other patient mined sophisticated bioinformatics develop models may potentially improve diagnostic, prognostic, predictive accuracy. Because radiomics analyses be conducted standard care images, it conceivable digital will eventually become routine practice. report describes process radiomics, its challenges, potential power facilitate better clinical making, particularly patients cancer.

Language: Английский

Citations

6764

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma DOI
Anoop P. Patel, Itay Tirosh,

John J. Trombetta

et al.

Science, Journal Year: 2014, Volume and Issue: 344(6190), P. 1396 - 1401

Published: June 13, 2014

Human cancers are complex ecosystems composed of cells with distinct phenotypes, genotypes, and epigenetic states, but current models do not adequately reflect tumor composition in patients. We used single-cell RNA sequencing (RNA-seq) to profile 430 from five primary glioblastomas, which we found be inherently variable their expression diverse transcriptional programs related oncogenic signaling, proliferation, complement/immune response, hypoxia. also observed a continuum stemness-related states that enabled us identify putative regulators stemness vivo. Finally, show established glioblastoma subtype classifiers variably expressed across individual within demonstrate the potential prognostic implications such intratumoral heterogeneity. Thus, reveal previously unappreciated heterogeneity regulatory central biology, prognosis, therapy.

Language: Английский

Citations

4334

The causes and consequences of genetic heterogeneity in cancer evolution DOI
Rebecca A. Burrell, Nicholas McGranahan, Jiří Bártek

et al.

Nature, Journal Year: 2013, Volume and Issue: 501(7467), P. 338 - 345

Published: Sept. 17, 2013

Language: Английский

Citations

2168

An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma DOI Creative Commons
Cyril Neftel,

Julie Laffy,

Mariella G. Filbin

et al.

Cell, Journal Year: 2019, Volume and Issue: 178(4), P. 835 - 849.e21

Published: July 18, 2019

Language: Английский

Citations

1990

Cancer stem cells in glioblastoma DOI Open Access
Justin D. Lathia, Stephen C. Mack, Erin E. Mulkearns-Hubert

et al.

Genes & Development, Journal Year: 2015, Volume and Issue: 29(12), P. 1203 - 1217

Published: June 15, 2015

Tissues with defined cellular hierarchies in development and homeostasis give rise to tumors hierarchies, suggesting that recapitulate specific tissues mimic their origins. Glioblastoma (GBM) is the most prevalent malignant primary brain tumor contains self-renewing, tumorigenic cancer stem cells (CSCs) contribute initiation therapeutic resistance. As normal progenitor participate tissue repair, these developmental programs re-emerge CSCs support progressive growth of tumors. Elucidation molecular mechanisms govern has informed novel targeted therapeutics for GBM other cancers. are not self-autonomous units; rather, they function within an ecological system, both actively remodeling microenvironment receiving critical maintenance cues from niches. To fulfill future goal developing therapies collapse CSC dynamics, drawing parallels pathological states highly interactive microenvironments use signaling pathways will be beneficial.

Language: Английский

Citations

1460

Mutational Analysis Reveals the Origin and Therapy-Driven Evolution of Recurrent Glioma DOI Open Access
Brett Johnson, Tali Mazor,

Chibo Hong

et al.

Science, Journal Year: 2013, Volume and Issue: 343(6167), P. 189 - 193

Published: Dec. 13, 2013

Back with a Vengeance After surgery, gliomas (a type of brain tumor) recur in nearly all patients and often more aggressive form. Johnson et al. (p. 189 , published online 12 December 2013) used exome sequencing to explore whether recurrent tumors harbor different mutations than the primary mutational profile recurrences is influenced by postsurgical treatment temozolomide (TMZ), chemotherapeutic drug known damage DNA. In 40% cases, at least half initial glioma were undetected recurrence. The many TMZ-treated bore signature TMZ-induced mutagenesis appeared follow an evolutionary path high-grade distinct from that untreated patients.

Language: Английский

Citations

1278

Genomic architecture and evolution of clear cell renal cell carcinomas defined by multiregion sequencing DOI
Marco Gerlinger, Stuart Horswell, James Larkin

et al.

Nature Genetics, Journal Year: 2014, Volume and Issue: 46(3), P. 225 - 233

Published: Feb. 2, 2014

Language: Английский

Citations

1184

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology DOI
Kaustav Bera, Kurt A. Schalper, David L. Rimm

et al.

Nature Reviews Clinical Oncology, Journal Year: 2019, Volume and Issue: 16(11), P. 703 - 715

Published: Aug. 9, 2019

Language: Английский

Citations

1142

Biological and Therapeutic Impact of Intratumor Heterogeneity in Cancer Evolution DOI Creative Commons
Nicholas McGranahan, Charles Swanton

Cancer Cell, Journal Year: 2015, Volume and Issue: 27(1), P. 15 - 26

Published: Jan. 1, 2015

Language: Английский

Citations

1007

A Big Bang model of human colorectal tumor growth DOI
Andrea Sottoriva, Haeyoun Kang, Zhicheng Ma

et al.

Nature Genetics, Journal Year: 2015, Volume and Issue: 47(3), P. 209 - 216

Published: Feb. 9, 2015

Language: Английский

Citations

967