The genomic landscape of metastatic breast cancer highlights changes in mutation and signature frequencies DOI
Lindsay Angus, Marcel Smid, Saskia M. Wilting

et al.

Nature Genetics, Journal Year: 2019, Volume and Issue: 51(10), P. 1450 - 1458

Published: Sept. 30, 2019

Language: Английский

Breast cancer DOI
Nadia Harbeck, Frédérique Penault‐Llorca, Javier Cortés

et al.

Nature Reviews Disease Primers, Journal Year: 2019, Volume and Issue: 5(1)

Published: Sept. 23, 2019

Language: Английский

Citations

2258

Roles of the immune system in cancer: from tumor initiation to metastatic progression DOI Open Access
Hugo González, Catharina Hagerling, Zena Werb

et al.

Genes & Development, Journal Year: 2018, Volume and Issue: 32(19-20), P. 1267 - 1284

Published: Oct. 1, 2018

The presence of inflammatory immune cells in human tumors raises a fundamental question oncology: How do cancer avoid the destruction by attack? In principle, tumor development can be controlled cytotoxic innate and adaptive cells; however, as develops from neoplastic tissue to clinically detectable tumors, evolve different mechanisms that mimic peripheral tolerance order tumoricidal attack. Here, we provide an update recent accomplishments, unifying concepts, future challenges study tumor-associated cells, with emphasis on metastatic carcinomas.

Language: Английский

Citations

1755

Breast cancer development and progression: Risk factors, cancer stem cells, signaling pathways, genomics, and molecular pathogenesis DOI Creative Commons
Yixiao Feng,

Mia Spezia,

Shifeng Huang

et al.

Genes & Diseases, Journal Year: 2018, Volume and Issue: 5(2), P. 77 - 106

Published: May 12, 2018

As the most commonly occurring cancer in women worldwide, breast poses a formidable public health challenge on global scale. Breast consists of group biologically and molecularly heterogeneous diseases originated from breast. While risk factors associated with this varies respect to other cancers, genetic predisposition, notably mutations

Language: Английский

Citations

1174

Insights into Molecular Classifications of Triple-Negative Breast Cancer: Improving Patient Selection for Treatment DOI Open Access
Ana C. Garrido-Castro, Nancy U. Lin, Kornélia Polyák

et al.

Cancer Discovery, Journal Year: 2019, Volume and Issue: 9(2), P. 176 - 198

Published: Jan. 24, 2019

Abstract Triple-negative breast cancer (TNBC) remains the most challenging subtype to treat. To date, therapies directed specific molecular targets have rarely achieved clinically meaningful improvements in outcomes of patients with TNBC, and chemotherapy standard care. Here, we seek review recent efforts classify TNBC based on comprehensive profiling tumors for cellular composition features. Technologic advances allow tumor characterization at ever-increasing depth, generating data that, if integrated clinical–pathologic features, may help improve risk stratification patients, guide treatment decisions surveillance, identify new drug development. Significance: is characterized by higher rates relapse, greater metastatic potential, shorter overall survival compared other major subtypes. The identification biomarkers that can a unmet need. Understanding mechanisms drive resistance key design novel therapeutic strategies prevent development disease and, ultimately, this patient population.

Language: Английский

Citations

1075

Pan-cancer whole-genome analyses of metastatic solid tumours DOI Creative Commons
Peter Priestley, Jonathan Baber, Martijn P. Lolkema

et al.

Nature, Journal Year: 2019, Volume and Issue: 575(7781), P. 210 - 216

Published: Oct. 23, 2019

Abstract Metastatic cancer is a major cause of death and associated with poor treatment efficacy. A better understanding the characteristics late-stage required to help adapt personalized treatments, reduce overtreatment improve outcomes. Here we describe largest, our knowledge, pan-cancer study metastatic solid tumour genomes, including whole-genome sequencing data for 2,520 pairs normal tissue, analysed at median depths 106× 38×, respectively, surveying more than 70 million somatic variants. The characteristic mutations lesions varied widely, that reflect those primary types, high rates duplication events (56%). Individual were relatively homogeneous, vast majority (96%) driver being clonal up 80% tumour-suppressor genes inactivated bi-allelically by different mutational mechanisms. Although genomes showed similar landscape tumours, find could contribute responsiveness therapy or resistance in individual patients. We implement an approach review clinically relevant associations their potential actionability. For 62% patients, identify genetic variants may be used stratify patients towards therapies either have been approved are clinical trials. This demonstrates importance comprehensive genomic profiling precision medicine cancer.

Language: Английский

Citations

918

The evolutionary history of 2,658 cancers DOI Creative Commons
Moritz Gerstung, Clemency Jolly, Ignaty Leshchiner

et al.

Nature, Journal Year: 2020, Volume and Issue: 578(7793), P. 122 - 128

Published: Feb. 5, 2020

Cancer develops through a process of somatic evolution

Language: Английский

Citations

909

The Genomic Landscape of Endocrine-Resistant Advanced Breast Cancers DOI Creative Commons
Pedram Razavi,

Matthew T. Chang,

Guotai Xu

et al.

Cancer Cell, Journal Year: 2018, Volume and Issue: 34(3), P. 427 - 438.e6

Published: Sept. 1, 2018

Language: Английский

Citations

812

Tracking Cancer Evolution Reveals Constrained Routes to Metastases: TRACERx Renal DOI Creative Commons
Samra Turajlic, Hang Xu, Kevin Litchfield

et al.

Cell, Journal Year: 2018, Volume and Issue: 173(3), P. 581 - 594.e12

Published: April 1, 2018

Clear-cell renal cell carcinoma (ccRCC) exhibits a broad range of metastatic phenotypes that have not been systematically studied to date. Here, we analyzed 575 primary and 335 biopsies across 100 patients with ccRCC, including two cases sampledat post-mortem. Metastatic competence was afforded by chromosome complexity, identify 9p loss as highly selected event driving metastasis ccRCC-related mortality (p = 0.0014). Distinct patterns dissemination were observed, rapid progression multiple tissue sites seeded tumors monoclonal structure. By contrast, observed attenuated in characterized high tumor heterogeneity, acquired gradually initial solitary metastasis. Finally, early divergence primitive ancestral clones protracted latency up decades feature pancreatic metastases.

Language: Английский

Citations

726

Single-cell landscape of the ecosystem in early-relapse hepatocellular carcinoma DOI Creative Commons
Yun‐Fan Sun, Liang Wu, Yu Zhong

et al.

Cell, Journal Year: 2020, Volume and Issue: 184(2), P. 404 - 421.e16

Published: Dec. 23, 2020

Language: Английский

Citations

625

Genomic characterization of metastatic breast cancers DOI
François Bertucci, Charlotte K.Y. Ng, Anne Patsouris

et al.

Nature, Journal Year: 2019, Volume and Issue: 569(7757), P. 560 - 564

Published: May 1, 2019

Language: Английский

Citations

594