Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
The Spatiotemporal Evolution of Lymph Node Spread in Early Breast Cancer
Download
index.pdf
Date
2018-10-01
Author
Barry, Peter
Vatsiou, Alexandra
Spiteri, Inmaculada
Nichol, Daniel
Cresswell, George D.
Acar, Ahmet
Trahearn, Nicholas
Hrebien, Sarah
Garcia-Murillas, Isaac
Chkhaidze, Kate
Ermini, Luca
Huntingford, Ian Said
Cottom, Hannah
Zabaglo, Lila
Koelble, Konrad
Khalique, Saira
Rusby, Jennifer E.
Muscara, Francesca
Dowsett, Mitch
Maley, Carlo C.
Natrajan, Rachael
Yuan, Yinyin
Schiavon, Gaia
Turner, Nicholas
Sottoriva, Andrea
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
169
views
65
downloads
Cite This
Purpose: The most significant prognostic factor in early breast cancer is lymph node involvement. This stage between localized and systemic disease is key to understanding breast cancer progression; however, our knowledge of the evolution of lymph node malignant invasion remains limited, as most currently available data are derived from primary tumors.
URI
https://hdl.handle.net/11511/89496
Journal
CLINICAL CANCER RESEARCH
DOI
https://doi.org/10.1158/1078-0432.ccr-17-3374
Collections
Department of Biology, Article
Suggestions
OpenMETU
Core
The Genomic Landscape of Deubiquitinating Enzymes Across Breast Cancer Subtypes
Bınarcı, Büşra; Tuncer, Taner; Akman, H. Begüm (Orta Doğu Teknik Üniversitesi Enformatik Enstitüsü; 2022-10)
Breast cancer, the most frequently diagnosed malignancy in women worldwide, is a highly heterogeneous disease on the molecular level and is classified into multiple subtypes [1]. There are 4 major subtypes of breast cancer that are grouped based on the presence/absence of hormone receptors (HR) (estrogen and progesterone receptor) and HER2 receptor which is a growth factor receptor: HR+/HER2-, HR+/HER2+, HR-/HER2-, and HR-/HER2+ [2]. Hemodynamic regulation of protein synthesis and degradation is one of the ...
Identification of gene mutations involved in drug resistance in liver cancer using RNA-SEQ data analysis
Shojaei, Mona; Atalay, Rengül; Acar, Aybar Can; Department of Bioinformatics (2016)
A significant concern in cancer research is the detection of cancer associated somatic mutations. Liver cancer is the 5th most common and 2nd deadliest cancer in the world. Several somatic mutations were previously reported in liver cancer but their relations to chemotherapeutic response was not studied in detail. In this study, the relationship between mutation status and drug treatment response of well-differentiated Huh7 and poorly-differentiated Mahlavu liver cancer cells were analyzed. The RNA-Seq data...
The serum immunoglobulin G glycosylation signature of gastric cancer
Ruhaak, L. Renee; Barkauskas, Donald A.; Torres, Javier; Cooke, Cara L.; Wu, Lauren D.; Stroble, Carol; Özcan Kabasakal, Süreyya; Williams, Cynthia C.; Camorlinga, Margarita; Rocke, David M.; Lebrilla, Carlito B.; Solnick, Jay V. (Elsevier BV, 2015-03-01)
Biomarkers may facilitate detection of gastric cancer at an earlier stage and reduce mortality. Here we sought to determine if the glycosylation profile of serum immunoglobulin G (IgG) could distinguish patients with non-atrophic gastritis (NAG), duodenal ulcer (DU) and gastric cancer (GC). Serum IgG was released and analyzed using nano-LC–TOF mass spectrometry. Statistically significant false discovery rate (FDR)-adjusted p-values were observed for 18 glycans, eight that differed significantly between NAG ...
A comparative study on EpCAM antibody immobilization on gold surfaces and microfluidic channels for the detection of circulating tumor cells
Cetin, Didem; Okan, Meltem; Bat, Erhan; Külah, Haluk (2020-04-01)
Detection of circulating tumor cells (CTCs) from the bloodstream holds great importance to diagnose cancer at early stages. However, CTCs being extremely rare in blood makes them difficult to reach. In this paper, we introduced different surface modification techniques for the enrichment and detection of MCF-7 in microfluidic biosensor applications using gold surface and EpCAM antibody. Mainly, two different mechanisms were employed to immobilize the antibodies; covalent bonding and bioaffinity interaction....
Targeting HIF1-alpha/miR-326/ITGA5 axis potentiates chemotherapy response in triple-negative breast cancer
Assidicky, Ridho; Tokat, Unal Metin; Tarman, Ibrahim Oguzhan; Saatci, Ozge; Ersan, Pelin Gulizar; Raza, Umar; Ogul, Hasan; Riazalhosseini, Yasser; Can, Tolga; Sahin, Ozgur (2022-03-01)
Purpose Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer that is frequently treated with chemotherapy. However, many patients exhibit either de novo chemoresistance or ultimately develop resistance to chemotherapy, leading to significantly high mortality rates. Therefore, increasing the efficacy of chemotherapy has potential to improve patient outcomes. Methods Here, we performed whole transcriptome sequencing (both RNA and small RNA-sequencing), coupled with network simu...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
P. Barry et al., “The Spatiotemporal Evolution of Lymph Node Spread in Early Breast Cancer,”
CLINICAL CANCER RESEARCH
, pp. 4763–4770, 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/89496.