Naglaa F. Soliman^1,2, Naglaa S. Ali², Mahmoud I. Aly^2,3, Abeer D. Algarni^1,*, Walid El-Shafai⁴, Fathi E. Abd El-Samie^1,4

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1315-1334, 2022, DOI:10.32604/cmc.2022.017001 - 07 September 2021

Abstract Breast cancer is the most common type of cancer, and it is the reason for cancer death toll in women in recent years. Early diagnosis is essential to handle breast cancer patients for treatment at the right time. Screening with mammography is the preferred examination for breast cancer, as it is available worldwide and inexpensive. Computer-Aided Detection (CAD) systems are used to analyze medical images to detect breast cancer, early. The death rate of cancer patients has decreased by detecting tumors early and having appropriate treatment after operations. Processing of mammogram images has four main… More >

MOTAWA E. EL-HOUSEINI¹, MOSTAFA S. ARAFAT², AHMED M. EL-HUSSEINY³, ISLAM M. KASEM², MAHMOUD M. KAMEL⁴, AHMED H. EL-HABASHY⁵, MEDHAT M. KHAFAGY⁶, ENAS M. RADWAN⁴, MAHA H. HELAL⁷, MONA S. ABDELLATEIF^1,*

Oncology Research, Vol.29, No.5, pp. 319-329, 2021, DOI:10.32604/or.2022.025249 - 10 October 2022

Abstract Immunotherapy becomes a promising line of treatment for breast cancer (BC) however, its success rate is still limited. Methods: The study was designed to optimize the condition for producing an effective dendritic cell (DCs) based immunotherapy by using DCs and T lymphocytes together with tumor-infiltrating lymphocytes (TILs) and tumor-infiltrating DCs (TIDCs), treated with anti-PD1 and anti-CTLA4 monoclonal antibodies. This mixture of immune cells was co-cultured with autologous breast cancer cells (BCCs) isolated from 26 BC females. Results: There was a significant upregulation of CD86 and CD83 on DCs (P = 0.001 and 0.017, respectively), similarly upregulation of… More >

LIMIN ZHOU¹, LIANBO ZHANG², XIN GUAN³, YI DONG¹, TAO LIU^1,*

Oncology Research, Vol.29, No.4, pp. 251-262, 2021, DOI:10.32604/or.2022.03582 - 31 August 2022

Abstract Long noncoding RNA PPP1R14B antisense RNA 1 (PPP1R14B-AS1) has emerged as a critical modulator of liver cancer and lung adenocarcinoma progression. However, the functional importance and biological relevance of PPP1R14B-AS1 in breast cancer remain unclear. Therefore, this study was designed to detect PPP1R14B-AS1 levels in breast cancer cells using qRT–PCR and elucidate the influence of PPP1R14B-AS1 on aggressive phenotypes. Furthermore, molecular events mediating the action of PPP1R14B-AS1 were characterized in detail. Functional experiments addressed the impacts of PPP1R14B-AS1 knockdown on breast cancer cells. In this study, PPP1R14B-AS1 was found to be overexpressed in breast cancer,… More >

YI DONG¹, LIANBO ZHANG², XIN GUAN³, TAO LIU¹, LIMIN ZHOU^1,*

Oncology Research, Vol.29, No.4, pp. 291-303, 2021, DOI:10.32604/or.2022.025172 - 31 August 2022

Abstract Increasing numbers of long noncoding RNAs (lncRNAs) are implicated in breast cancer oncogenicity. However, the contribution of LINC02568 toward breast cancer progression remains unclear and requires further investigation. Herein, we evaluated LINC02568 expression in breast cancer and clarified its effect on disease malignancy. We also investigated the mechanisms underlying the pro-oncogenic role of LINC02568. Consequently, LINC02568 was upregulated in breast cancer samples, with a notable association with worse overall survival. Functionally, depleted LINC02568 suppressed cell proliferation, colony formation, and metastasis, whereas LINC02568 overexpression exerted the opposite effects. Our mechanistic investigations suggested that LINC02568 was physically More >

TAO LIU¹, LIMIN ZHOU¹, LIANBO ZHANG², XIN GUAN³, YI DONG^1,*

Oncology Research, Vol.29, No.3, pp. 189-200, 2021, DOI:10.32604/or.2022.03573 - 01 August 2022

Abstract Many studies have illustrated the significance of long noncoding RNAs in oncogenesis and promotion of breast cancer (BC). However, the biological roles of CCDC183 antisense RNA 1 (CCDC183-AS1) in BC have rarely been characterized. Thus, we explored whether CCDC183-AS1 is involved in the malignancy of BC and elucidated the possible underlying mechanisms. Our data confirmed elevated CCDC183-AS1 expression in BC, which was associated with poor clinical outcomes. Functionally, knocking down CCDC183-AS1 hampered cell proliferation, colony formation, migration, and invasion in BC. Additionally, the absence of CCDC183-AS1 restrained tumor growth in vivo. Mechanistically, CCDC183-AS1 executed as a More >

Asmaa E. E. Ali^*, Mofreh Mohamed Salem, Mahmoud Badway, Ali I. EL Desouky

Journal on Artificial Intelligence, Vol.3, No.3, pp. 81-96, 2021, DOI:10.32604/jai.2021.022433 - 25 January 2022

Abstract Breast cancer (BrC) is now the world’s leading cause of death for women. Early detection and effective treatment of this disease are the only rescues to reduce BrC mortality. The prediction of BrC diseases is very difficult because it is not an individual disease but a mixture of various diseases. Many researchers have used different techniques such as classification, Machine Learning (ML), and Deep Learning (DL) of the prediction of the breast tumor into Benign and Malignant. However, still there is a scope to introduce appropriate techniques for developing and implementing a more effective diagnosis… More >

Yuqin Xie, Shuang Deng, Qian Deng, Jiudong Xu

Oncologie, Vol.23, No.4, pp. 609-609, 2021, DOI:10.32604/oncologie.2021.020379 - 31 December 2021

Abstract This article has no abstract. More >

Çağrı Öner^1,* and Ertuğrul Çolak²

Oncologie, Vol.23, No.3, pp. 393-407, 2021, DOI:10.32604/Oncologie.2021.016958 - 26 September 2021

Abstract piRNAs are novel members of small non-coding RNAs and have an impact on genetic and epigenetic mechanisms of cells. It was aimed to investigate the role of piR-651 on MCF-7 benign breast cancer cells by focusing on molecular characteristics. Anti-piR-651 was transfected and effects of piR-651 on proliferation, adhesion, and motility of MCF-7 cells were detected after the 24th, 48th, and 72nd hour. Gene expressions of piR-651, Ki-67, MMP-2, ERα, HIF-1α, and hTERT were determined by using RT-PCR. piR-651 inhibition caused the decrease of proliferation, adhesion (p < 0.001), and motility of MCF-7 cells. The efficiency… More >

Elda A. Flores-Contreras¹, Everardo González-González^2,3, Ana I. Zarazúa-Niño¹, Elsa N. Garza-Treviño¹, Natalia Martínez-Acuña¹, Viviana C. Zomosa-Signoret⁴, Román Vidaltamayo⁴, Gerardo E. Muñoz-Maldonado⁵, Raquel Garza-Guajardo⁶, Manuel de J. García-Solís⁷, Alejandro Abarca-Blanco³, Ana M. G. Rivas-Estilla¹, Carlos Córdova-Fletes^1,*

Oncologie, Vol.23, No.3, pp. 373-392, 2021, DOI:10.32604/oncologie.2021.017786 - 26 September 2021

Abstract Breast cancer (BC) is one of the leading causes of death in women worldwide. A major challenge in BC is chemoresistance, which is often modulated by epigenetic regulators such as long non-coding RNAs (lncRNAs). Because these regulator lncRNAs may play diverse roles, determining their specific pathways and/or functions is crucial to identify possible biomarkers and/or therapeutic targets for BC. In this study, we used gene expression microarrays in order to identify lncRNAs related to the BC biology. We found, among six differentially expressed (DE) lncRNAs, that the expression of lnc-ERP44-3:6 was consistently down-regulated in all breast… More >

Hanan A. Hosni Mahmoud^*, Amal H. Alharbi, Doaa S. Khafga

Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 803-814, 2021, DOI:10.32604/iasc.2021.018607 - 01 July 2021

Abstract In this paper, we aim to apply deep learning convolution neural network (Deep-CNN) technology to classify breast masses in mammograms. We develop a Deep-CNN combined with multi-feature extraction and transfer learning to detect breast cancer. The Deep-CNN is utilized to extract features from mammograms. A support vector machine (SVM) is then trained on the Deep-CNN features to classify normal, benign, and cancer cases. The scoring features from the Deep-CNN are coupled with texture features and used as inputs to the final classifier. Two texture features are included: texture features of spatial dependency and gradient-based histograms.… More >