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    Synthesis of Magnetic Fe3o4 Nanoparticle and Coating It with Modified Starch for Targeted Delivery of Doxorubicin Anticancer Drug

    , M.Sc. Thesis Sharif University of Technology Alizadeh, Mahshid (Author) ; Pourjavadi, Ali (Supervisor)
    Abstract
    One of the major problems in cancer treatment is side effects of treatments. Today, scientists have developed smart nanocarrier for diagnosis and drug delivery that can circulate in the bloodstream, pass the body's immune system to kill cancer cells and attach to the cancer cells to deliver drugs, without the side effects that are in other treatments, such as chemotherapy. magnetic nanoparticles coated by biodegradable polymers are one of the smart polymers. In this study, iron oxide nanoparticles with amine group on their surface are coated by starch modified by methyl acrylate then reacted with hydrazine and hydrazide functional group is formed that can chemically be bonded with the... 

    Organs at Risk (OAR) Segmentation Using Machine Learning Methods

    , M.Sc. Thesis Sharif University of Technology Karimzadeh, Reza (Author) ; Fatemizadeh, Emad (Supervisor) ; Arabi, Hossein (Co-Supervisor)
    Abstract
    For radiotherapy and removal of cancerous tissues, it is necessary to determine the location of the tumor and the vulnerable structures around the tumor before treating and irradiating the high-energy beam. To do this, the images received from the patient need to be segmented. This is usually done manually, which is not only time consuming but also very expensive.Various methods for segmenting these images are presented automatically and semi-automatically, among which methods based on machine learning and deep learning have shown much higher accuracy than other methods. Despite this superiority, these methods have problems such as high computational costs, inability to learn the shape and... 

    Laser induced breakdown spectroscopy and acoustic response techniques to discriminate healthy and cancerous breast tissues

    , Article Applied Optics ; Volume 55, Issue 29 , 2016 , Pages 8227-8235 ; 1559128X (ISSN) Ghasemi, F ; Parvin, P ; Hosseini Motlagh, N. S ; Amjadi, A ; Abachi, S ; Sharif University of Technology
    OSA - The Optical Society 
    Abstract
    Laser induced breakdown spectroscopy and subsequent acoustic response during microplasma formation are employed to identify cancerous human breast tissues. The characteristic optical emissions identify Ca, Na, and Mg rich species in cancerous tissues compared to those of healthy ones. Furthermore, we show that the characteristic parameters of the microplasma, generated on the unhealthy tissues, are elevated. We report higher decibel audio signals emanating from laser induced microplasma and a subsequent audio blueshift for malignant tissues. The higher abundance of trace elements in cancerous tissues as well as higher plasma temperature and electron density in laser induced microplasma... 

    Glioma Tumor Segmentation in Brain MRI Using Atlas-based Learning and Graph Structures

    , M.Sc. Thesis Sharif University of Technology Barzegar, Zeynab (Author) ; Jamzad, Mansour (Supervisor) ; Beigy, Hamid (Co-Supervisor)
    Abstract
    Brain cancer is a lump or tumor in the brain caused by abnormal growth of cells. Glioma is a common type of tumor that develops in the brain. In order to plan precise treatment or accurate tumor removal surgery, brain tumor segmentation is critical for detecting all parts of tumor and its surrounding tissues. To visualize the brain anatomy and detect its abnormalities, we use Magnetic Resonance Imaging (MRI) as an input. Due to many differences in the shape and appearance, accurate segmentation of glioma for identifying all parts of the tumor and its surrounding tissues in cancer detection is a challenging task. Moreover, due to the intensity inhomogeneity existing in brain MRI and gray... 

    Detecting lung cancer lesions in CT images using 3D convolutional neural networks

    , Article 4th International Conference on Pattern Recognition and Image Analysis, IPRIA 2019, 6 March 2019 through 7 March 2019 ; 2019 , Pages 114-118 ; 9781728116211 (ISBN) Moradi, P ; Jamzad, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    Early diagnosis of lung cancer is very important in improving patients life expectancies. Due to the high number of Computed Tomography (CT) images, fast and accurate diagnosis is difficult for radiologists. Therefore, there is an increasing demand for Computer-Aid Diagnosis (CAD) lung cancer. The core of all lung cancer detection systems is the distinction between cancer and non-cancerous tissues. This operation is performed in the false positive reduction phase, which is one of the most critical part of the lung cancer detection systems. The primary objective of this paper is to present a new method based on 3D Convolutional Neural Networks (CNN) that can reduce the false positives rate... 

    MiR-361-5p as a promising qRT-PCR internal control for tumor and normal breast tissues

    , Article PLoS ONE ; Volume 16, Issue 6 June , 2021 ; 19326203 (ISSN) Ghanbari, S ; Salimi, A ; Rahmani, S ; Nafissi, N ; Sharifi Zarchi, A ; Mowla, S. J ; Sharif University of Technology
    Public Library of Science  2021
    Abstract
    Background: One of the most widely used evaluation methods in miRNA experiments is qRT-PCR. However, selecting suitable internal controls (IC) is crucial for qRT-PCR experiments. Currently, there is no consensus on the ICs for miRNA qRT-PCR experiments in breast cancer. To this end, we tried to identify the most stable (the least expression alteration) and promising miRNAs in normal and tumor breast tissues by employing TCGA miRNA-Seq data and then experimentally validated them on fresh clinical samples. Methods: A multi-component scoring system was used which takes into account multiple expression stability criteria as well as correlation with clinical characteristics. Furthermore, we... 

    Detection and a possible link between parvovirus B19 and thyroid cancer

    , Article Tumor Biology ; Volume 39, Issue 6 , 2017 ; 10104283 (ISSN) Etemadi, A ; Mostafaei, S ; Yari, K ; Ghasemi, A ; Chenar, H. M ; Moghoofei, M ; Sharif University of Technology
    Abstract
    Human parvovirus B19 (B19) is a small, non-enveloped virus and belongs to Parvoviridae family. B19 persists in many tissues such as thyroid tissue and even thyroid cancer. The main aim of this study was to determine the presence of B19, its association with increased inflammation in thyroid tissue, and thus its possible role in thyroid cancer progression. Studies have shown that virus replication in non-permissive tissue leads to overexpression of non-structural protein and results in upregulation of proinflammatory cytokines such as interleukin 6 and tumor necrosis factor alpha. A total of 36 paraffin-embedded thyroid specimens and serum were collected from patients and 12 samples were used... 

    Opposite trends of GAS6 and GAS6-AS expressions in breast cancer tissues

    , Article Experimental and Molecular Pathology ; Volume 118 , 2021 ; 00144800 (ISSN) Lavasani, A ; Hussen, B. M ; Taheri, F ; Sattari, A ; Yousefi, H ; Omrani, M. D ; Nazer, N ; Ghafouri Fard, S ; Taheri, M ; Sharif University of Technology
    Academic Press Inc  2021
    Abstract
    Growth arrest-specific gene 6 (GAS6) is a growth factor-like cytokine whose function is related with vitamin K. This protein interacts with receptor tyrosine kinase proteins such as Tyro3, Axl, and TAM Receptor family, therefore affecting the tumorigenic processes via different mechanisms. GAS6-antisense 1 (GAS6-AS1) is a long non-coding RNAs (lncRNAs) that is transcribed from a genomic regions nearby GAS6. This lncRNA is also implicated in the pathobiology of cancer. We intended to judge the role of GAS6 and GAS6-AS1 in the pathogenesis of breast cancer through appraisal of their expression levels in breast cancer tissues and their paired neighboring non-cancerous samples. Expression of... 

    Expression and function of c1orf132 long-noncoding rna in breast cancer cell lines and tissues

    , Article International Journal of Molecular Sciences ; Volume 22, Issue 13 , 2021 ; 16616596 (ISSN) Shafaroudi, A. M ; Sharifi Zarchi, A ; Rahmani, S ; Nafissi, N ; Mowla, S. J ; Lauria, A ; Oliviero, S ; Matin, M. M ; Sharif University of Technology
    MDPI  2021
    Abstract
    miR-29b2 and miR-29c play a suppressive role in breast cancer progression. C1orf132 (also named MIR29B2CHG) is the host gene for generating both microRNAs. However, the region also expresses longer transcripts with unknown functions. We employed bioinformatics and experimental approaches to decipher C1orf132 expression and function in breast cancer tissues. We also used the CRISPR/Cas9 technique to excise a predicted C1orf132 distal promoter and followed the behavior of the edited cells by real-time PCR, flow cytometry, migration assay, and RNA-seq techniques. We observed that C1orf132 long transcript is significantly downregulated in triple-negative breast cancer. We also identified a... 

    Pan-cancer analysis of microRNA expression profiles highlights microRNAs enriched in normal body cells as effective suppressors of multiple tumor types: A study based on TCGA database

    , Article PLoS ONE ; Volume 17, Issue 4 April , 2022 ; 19326203 (ISSN) Moradi, S ; Kamal, A ; Es, H. A ; Farhadi, F ; Ebrahimi, M ; Chitsaz, H ; Sharifi Zarchi, A ; Baharvand, H ; Sharif University of Technology
    Public Library of Science  2022
    Abstract
    Background MicroRNAs (miRNAs) are frequently deregulated in various types of cancer. While antisense oligonucleotides are used to block oncomiRs, delivery of tumour-suppressive miRNAs holds great potential as a potent anti-cancer strategy. Here, we aim to determine, and functionally analyse, miRNAs that are lowly expressed in various types of tumour but abundantly expressed in multiple normal tissues. Methods The miRNA sequencing data of 14 cancer types were downloaded from the TCGA dataset. Significant differences in miRNA expression between tumor and normal samples were calculated using limma package (R programming). An adjusted p value < 0.05 was used to compare normal versus tumor miRNA... 

    Unraveling cancer metastatic cascade using microfluidics-based technologies

    , Article Biophysical Reviews ; Volume 14, Issue 2 , 2022 , Pages 517-543 ; 18672450 (ISSN) Hakim, M ; Kermanshah, L ; Abouali, H ; Hashemi, H. M ; Yari, A ; Khorasheh, F ; Alemzadeh, I ; Vossoughi, M ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2022
    Abstract
    Cancer has long been a leading cause of death. The primary tumor, however, is not the main cause of death in more than 90% of cases. It is the complex process of metastasis that makes cancer deadly. The invasion metastasis cascade is the multi-step biological process of cancer cell dissemination to distant organ sites and adaptation to the new microenvironment site. Unraveling the metastasis process can provide great insight into cancer death prevention or even treatment. Microfluidics is a promising platform, that provides a wide range of applications in metastasis-related investigations. Cell culture microfluidic technologies for in vitro modeling of cancer tissues with fluid flow and the...