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
Nuclear Deformability of Breast Cells Analyzed from Patients with Malignant and Benign Breast Diseases
Date
2023-03-13
Author
Antmen, Ezgi
Ermiş Şen, Menekşe
Kuren, Ozgur
Beksac, Kemal
Irkkan, Cigdem
HASIRCI, Vasıf Nejat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
149
views
0
downloads
Cite This
Breast cancer is a heterogeneous and dynamic disease, in which cancer cells are highly responsive to alterations in the microenvironment. Today, conventional methods of detecting cancer give a rather static image of the condition of the disease, so dynamic properties such as invasiveness and metastasis are difficult to capture. In this study, conventional molecular-level evaluations of the patients with breast adenocarcinoma were combined with in vitro methods on micropatterned poly(methyl methacrylate) (PMMA) biomaterial surfaces that deform cells. A correlation between deformability of the nuclei and cancer stemness, invasiveness, and metastasis was sought. Clinical patient samples were from regions of the breast with different proximities to the tumor. Responses at the single-cell level toward the micropatterned surfaces were studied using CD44/24, epithelial cell adhesion marker (EpCAM), MUC1, and PCK. Results showed that molecular markers and shape descriptors can discriminate the cells from different proximities to the tumor center and from different patients. The cells with the most metastatic and invasive properties showed both the highest deformability and the highest level of metastatic markers. In conclusion, by using a combination of molecular markers together with nuclear deformation, it is possible to improve detection and separation of subpopulations in heterogenous breast cancer specimens at the single-cell level.
Subject Keywords
micropattern
,
breast cancer
,
nuclear deformation
,
invasion
,
cell-material interaction
,
CD24 EXPRESSION
,
CANCER
,
CLASSIFICATION
,
INVASION
,
GRADE
,
PROLIFERATION
,
MORPHOLOGY
,
MODEL
,
MCF-7
,
LINES
URI
https://hdl.handle.net/11511/102703
Journal
ACS BIOMATERIALS SCIENCE & ENGINEERING
DOI
https://doi.org/10.1021/acsbiomaterials.2c01059
Collections
Department of Engineering Sciences, Article
Suggestions
OpenMETU
Core
Microarray applications for determination of the effects of emodin on breast cancer cell lines
Ekenel Qomi, Emilia; İşcan, Mesude; Çoruh, Nursen; Department of Biotechnology (2011)
Cancer is a genetic disease that is characterized by uncontrolled cells growth. Breast cancer is a type of cancer originating from breast tissue. Some breast cancers are sensitive to hormones such as estrogen which makes it possible to treat them by blocking the effects of these hormones in the target tissues. These require less aggressive treatment than hormone negative cancers. Breast cancers without hormone receptors, are higher-risk, and are treated more aggressively. The aim of our study is to investig...
Comparison of the Diagnostic Accuracy of Next Generation Sequencing and Microarray Resequencing Methods for Detection of BRCA1 and BRCA2 Gene Mutations
Bahsi, Taha; Ergun, Sezen Güntekin; Ergun, Mehmet Ali; Perçin, E. Ferda (Gazi University, 2018-4-1)
Objective: Breast cancer constitutes 29 % of estimated new cases of cancer in women, and it is also one of the major cause of death in all cancer types. In this study, DNA samples of familial breast cancer patients with BRCA1 and BRCA2 mutations which had been analyzed using conventional DNA sequencing method, were also analyzed with new methods including microarray and next generation sequencing (NGS) in order to compare their results Methods: Seven patients with BRCA1 mutation, one patient with BRCA2 m...
COMPUTER AIDED DIAGNOSIS SYSTEM FOR AUTOMATIC TWO STAGES CLASSIFICATION OF BREAST MASS IN DIGITAL MAMMOGRAM IMAGES
Alqudah, Ali Mohammad; Algharib, Huda M. S.; Algharib, Amal M. S.; Algharib, Hanan M. S. (2019-02-01)
Breast cancer is the most frequent cancer type that is diagnosed in women. The exact causes of such cancer are still unknown. Early and precise detection of breast cancer using mammogram images or biopsy to provide the required medications can increase the healing percentage. There are much current research efforts to developed a computer aided diagnosis (CAD) system based on mammogram images for detecting and classification of breast masses. In this research, a CAD system is developed for automated segment...
Analyses and modeling of ovarian cancer microarray data
Karakelle, Barış S; Purutçuoğlu Gazi, Vilda; Department of Biomedical Engineering (2019)
Ovarian cancer is one of the common cancer types among other oncological diseases. The major causes of this cancer can be listed as age, obesity, hormone therapy, material inheritance and contraceptive pills. Due to its generality and importance, many researches have been conducted from distinct labs about this illness and its plausible causes have been intensively investigated either inmicroarray studies, where just part of the related genes are detected, or in thepairwise correlation analyses between the ...
Overexpressed genes/ESTs and characterization of distinct amplicons on 17q23 in breast cancer cells
Erson Bensan, Ayşe Elif; DEMERS, SK; ROUILLARD, JM; HANASH, SM; PETTY, EM (Elsevier BV, 2001-11-01)
17q23 is a frequent site of gene amplification in breast cancer. Several lines of evidence suggest the presence of multiple amplicons on 17q23. To characterize distinct amplicons on 17q23 and localize putative oncogenes, we screened genes and expressed sequence tags (ESTs) in existing physical and radiation hybrid maps for amplification and overexpression in breast cancer cell lines by semiquantitative duplex PCR, semiquantitative duplex RT-PCR, Southern blot, and Northern blot analyses. We identified two d...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Antmen, M. Ermiş Şen, O. Kuren, K. Beksac, C. Irkkan, and V. N. HASIRCI, “Nuclear Deformability of Breast Cells Analyzed from Patients with Malignant and Benign Breast Diseases,”
ACS BIOMATERIALS SCIENCE & ENGINEERING
, vol. 9, pp. 1629–1643, 2023, Accessed: 00, 2023. [Online]. Available: https://hdl.handle.net/11511/102703.