Breast cancer development and progression: Risk factors, cancer stem cells, signaling pathways, genomics, and molecular pathogenesis

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

---

Nanoparticle Probes for the Detection of Cancer Biomarkers, Cells, and Tissues by Fluorescence

Chemical Reviews, Journal Year: 2015, Volume and Issue: 115(19), P. 10530 - 10574

Published: Aug. 27, 2015

ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTNanoparticle Probes for the Detection of Cancer Biomarkers, Cells, and Tissues by FluorescenceAlyssa B. Chinen†∥, Chenxia M. Guan‡∥, Jennifer R. Ferrer§∥, Stacey N. Barnaby†∥, Timothy J. Merkel†∥, Chad A. Mirkin*†∥View Author Information† ∥ †Department Chemistry, ‡Department Chemical Engineering, §Department Interdepartmental Biological Sciences, ∥International Institute Nanotechnology, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, United States*E-mail: [email protected]Cite this: Chem. Rev. 2015, 115, 19, 10530–10574Publication Date (Web):August 27, 2015Publication History Received29 May 2015Published online27 August inissue 14 October 2015https://pubs.acs.org/doi/10.1021/acs.chemrev.5b00321https://doi.org/10.1021/acs.chemrev.5b00321review-articleACS PublicationsCopyright © 2015 American SocietyRequest reuse permissionsArticle Views28319Altmetric-Citations849LEARN ABOUT THESE METRICSArticle Views are COUNTER-compliant sum full text article downloads since November 2008 (both PDF HTML) across all institutions individuals. These metrics regularly updated to reflect usage leading up last few days.Citations number other articles citing this article, calculated Crossref daily. Find more information about citation counts.The Altmetric Attention Score is a quantitative measure attention that research has received online. Clicking on donut icon will load page at altmetric.com with additional details score social media presence given article. how calculated. Share Add toView InAdd Full Text ReferenceAdd Description ExportRISCitationCitation abstractCitation referencesMore Options onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Cancer,Cells,Fluorescence,Nanoparticles,Peptides proteins Get e-Alerts

Language: Английский

---

Collective Invasion in Breast Cancer Requires a Conserved Basal Epithelial Program

Cell, Journal Year: 2013, Volume and Issue: 155(7), P. 1639 - 1651

Published: Dec. 1, 2013

Language: Английский

---

Cancer Stem Cells: Basic Concepts and Therapeutic Implications

Annual Review of Pathology Mechanisms of Disease, Journal Year: 2016, Volume and Issue: 11(1), P. 47 - 76

Published: May 19, 2016

Different mechanisms contribute to intratumor heterogeneity, including genetic mutations, the microenvironment, and existence of subpopulations cancer cells with increased renewal capacity ability recapitulate heterogeneity found in primary tumors, which are referred as stem (CSCs). In this review, we discuss how concept CSCs has been defined, what assays currently used define functional properties CSCs, intrinsic extrinsic regulate CSC functions, plastic are, importance epithelial-to-mesenchymal transition conferring properties. Finally, by may resist medical therapy tumor relapse.

Language: Английский

---

Glioblastoma: From Molecular Pathology to Targeted Treatment

Annual Review of Pathology Mechanisms of Disease, Journal Year: 2011, Volume and Issue: 9(1), P. 1 - 25

Published: March 2, 2011

Glioblastoma (GBM) is one of the most lethal human cancers. Genomic analyses are defining molecular architecture GBM, uncovering relevant subsets patients whose disease may require different treatments. Many pharmacological targets have been revealed, promising to transform patient care through targeted therapies. However, for patients, clinical responses inhibitors either not apparent or durable. In this review, we address challenge developing more effective, molecularly guided approaches treatment GBM patients. We summarize current state knowledge regarding classifiers and examine their benefit stratifying treatment. survey landscape disease, discussing challenges raised by acquired drug resistance. Furthermore, analyze biochemical features suggesting a next generation targets, contribution tumor heterogeneity its implications. conclude with an analysis experimental potential

Language: Английский

---

Tumor Heterogeneity in Breast Cancer

Frontiers in Medicine, Journal Year: 2017, Volume and Issue: 4

Published: Dec. 8, 2017

Breast cancer is a heterogeneous disease and differs greatly among different patients (intertumor heterogeneity) even within each individual tumor (intratumor heterogeneity). Clinical morphologic intertumor heterogeneity reflected by staging systems histopathologic classification of breast cancer. Heterogeneity in the expression established prognostic predictive biomarkers, hormone receptors HER2 oncoprotein, basis for targeted treatment. Molecular classifications are indicators genetic heterogeneity, which probed with multigene assays can lead to improved stratification into low high risk groups personalized therapy. Intratumor occurs at morphologic, genomic, transcriptomic proteomic levels, creating diagnostic therapeutic challenges. Understanding molecular cellular mechanisms that relevant development treatment resistance major area research. Despite knowledge complex phenotypic features underpinning there has been only limited advancement diagnostic, or strategies The current guidelines reporting biomarkers aim maximize patient eligibility therapy, but do not take account intratumor heterogeneity. implemented routine clinical practice. Additional studies in-depth analysis required understand significance rapidly accumulating data. This review highlights inter- carcinoma special emphasis on pathologic findings, provides insights

Language: Английский

---

“Combo” nanomedicine: Co-delivery of multi-modal therapeutics for efficient, targeted, and safe cancer therapy

Advanced Drug Delivery Reviews, Journal Year: 2015, Volume and Issue: 98, P. 3 - 18

Published: Nov. 4, 2015

Language: Английский

---

Single-cell analysis tools for drug discovery and development

Nature Reviews Drug Discovery, Journal Year: 2015, Volume and Issue: 15(3), P. 204 - 216

Published: Dec. 16, 2015

Language: Английский

---

Cancer Evolution: Mathematical Models and Computational Inference

Systematic Biology, Journal Year: 2014, Volume and Issue: 64(1), P. e1 - e25

Published: Oct. 7, 2014

Cancer is a somatic evolutionary process characterized by the accumulation of mutations, which contribute to tumor growth, clinical progression, immune escape, and drug resistance development. Evolutionary theory can be used analyze dynamics cell populations make inference about history from molecular data. We review recent approaches modeling evolution cancer, including population models initiation phylogenetic methods model relationship between subclones, probabilistic graphical describe dependencies among mutations. helps understand how tumors arise will also play an increasingly important prognostic role in predicting disease progression outcome medical interventions, such as targeted therapy.

Language: Английский

---

Glucocorticoids promote breast cancer metastasis

Nature, Journal Year: 2019, Volume and Issue: 567(7749), P. 540 - 544

Published: March 1, 2019

Language: Английский

---