ZEINAB KLAAB¹, AZIZA HASSAN², JAWAHER ALBAQAMI¹, FAIZAH A. ALMALKI^1,*

BIOCELL, Vol.47, No.4, pp. 891-904, 2023, DOI:10.32604/biocell.2023.026556

Abstract Cancer remains to be one of the most severe sicknesses globally. Cases have kept rising over the years. Breast cancer (BC), which is among the leading types of cancers and predominantly affects women, is the second leading cause of cancer mortality. Researchers have developed interventions over the years; however, the BC survival rate has not improved since the 1980s. This has created the need for novel drug interventions that would manage and treat BC more effectively. This study focused on using a combination of natural product extracts such as phytoestrogen (Ziziphus jujube) and Tannin nanoparticles (NP99) together, which we have… More >

GANG WANG^#, MINGPING QIAN^#, WEI JIAN, JUHANG CHU, YIXIANG HUANG^*

Oncology Research, Vol.31, No.1, pp. 63-70, 2023, DOI:10.32604/or.2022.028168

Abstract Circular RNA (circRNA), as a newly discovered non-coding RNA with important regulatory potential, is closely related to the occurrence and progression of various tumors. This study aimed to investigate has_circ_0000069 expression in breast cancer and its influence on cellular activities. Using real-time quantitative polymerase chain reaction, has_circ_0000069 levels were measured in 137 pairs of tissue specimens, as well as cancer cell lines. The cellular activities of cell lines were determined by cell counting kit-8 (CCK-8) and Transwell assays. The potential targeting miRNAs were predicted and verified using an online database and dual-luciferase reporter assay. Has_circ_0000069 was highly expressed in breast… More >

P. Malathi^1,*, G. Charlyn Pushpa Latha²

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1741-1758, 2023, DOI:10.32604/csse.2023.035185

Abstract Breast cancer (BCa) is a leading cause of death in the female population across the globe. Approximately 2.3 million new BCa cases are recorded globally in females, overtaking lung cancer as the most prevalent form of cancer to be diagnosed. However, the mortality rates for cervical and BCa are significantly higher in developing nations than in developed countries. Early diagnosis is the only option to minimize the risks of BCa. Deep learning (DL)-based models have performed well in image processing in recent years, particularly convolutional neural network (CNN). Hence, this research proposes a DL-based CNN model to diagnose BCa from… More >

NADIA Z. SHAABAN¹, NASHWA K. IBRAHIM², HELEN N. SAADA², FATMA H. EL-RASHIDY¹, HEBATALLAH M. SHAABAN³, NERMEEN M. ELBAKARY^2,*, AHMAD S. KODOUS^1,2,*

Oncology Research, Vol.30, No.6, pp. 269-276, 2022, DOI:10.32604/or.2022.027277

Abstract Background: MicroRNAs (miRs) are small (19–25 nucleotides), non-protein coding RNAs that regulate gene expression, and thus play essential roles in cell cycle progression. The evidence has demonstrated that the expression of several miRs is dysregulated in human cancer. Methods: The study includes 179 female patients and 58 healthy women Patients were identified as luminal A, B, Her-2/neu, and basal-like, as well as classified into I, II, and III stages. Analysis of the expression fold change of miR-21 and miR-34a with molecular markers, including the oncogene Bcl-2 (B-cell lymphoma 2) and the tumor suppressor genes BRCA1 (breast cancer susceptibility gene 1),… More >

Ghada Atteia¹, El-Sayed M. El-kenawy^2,3, Nagwan Abdel Samee^1,*, Mona M. Jamjoom⁴, Abdelhameed Ibrahim⁵, Abdelaziz A. Abdelhamid^6,7, Ahmad Taher Azar^8,9, Nima Khodadadi^10,11, Reham A. Ghanem¹², Mahmoud Y. Shams¹³

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1883-1900, 2023, DOI:10.32604/cmc.2023.031723

Abstract The rapid population growth results in a crucial problem in the early detection of diseases in medical research. Among all the cancers unveiled, breast cancer is considered the second most severe cancer. Consequently, an exponential rising in death cases incurred by breast cancer is expected due to the rapid population growth and the lack of resources required for performing medical diagnoses. Utilizing recent advances in machine learning could help medical staff in diagnosing diseases as they offer effective, reliable, and rapid responses, which could help in decreasing the death risk. In this paper, we propose a new algorithm for feature… More >

SEMA MISIR^1,*, SERAP OZER YAMAN², NINA PETROVIĆ^3,4, CEREN SUMER⁵, CEYLAN HEPOKUR¹, YUKSEL ALIYAZICIOGLU²

Oncology Research, Vol.30, No.4, pp. 157-172, 2022, DOI:10.32604/or.2022.027547

Abstract Breast cancer (BC) is the most common heterogeneous disease in women and one of the leading causes of cancer-related death. Surgery, chemotherapy, radiotherapy, hormone, and targeted therapy are the gold standards for BC treatment. One of the significant challenges during the treatment of BC represents resistance to chemotherapeutics, resistance that severely limits the use and effectiveness of the drugs used for BC treatment. Therefore, it is essential to develop new strategies to improve therapeutic efficacy. Circular RNAs (circRNAs) are a large group of non-coding RNAs that covalently form closed circular loops by joining their 5′, and 3′; ends. Accumulating evidence… More >

Muhammad Zia Ur Rehman¹, Jawad Ahmad^2,*, Emad Sami Jaha³, Abdullah Marish Ali³, Mohammed A. Alzain⁴, Faisal Saeed⁵

Computer Systems Science and Engineering, Vol.46, No.1, pp. 897-911, 2023, DOI:10.32604/csse.2023.035382

Abstract Breast cancer is one of the leading cancers among women. It has the second-highest mortality rate in women after lung cancer. Timely detection, especially in the early stages, can help increase survival rates. However, manual diagnosis of breast cancer is a tedious and time-consuming process, and the accuracy of detection is reliant on the quality of the images and the radiologist’s experience. However, computer-aided medical diagnosis has recently shown promising results, leading to the need to develop an efficient system that can aid radiologists in diagnosing breast cancer in its early stages. The research presented in this paper is focused… More >

S. J. K. Jagadeesh Kumar¹, P. Parthasarathi², Mofreh A. Hogo³, Mehedi Masud⁴, Jehad F. Al-Amri⁵, Mohamed Abouhawwash^6,7,*

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2363-2378, 2023, DOI:10.32604/iasc.2023.033800

Abstract Women from middle age to old age are mostly screened positive for Breast cancer which leads to death. Times over the past decades, the overall survival rate in breast cancer has improved due to advancements in early-stage diagnosis and tailored therapy. Today all hospital brings high awareness and early detection technologies for breast cancer. This increases the survival rate of women. Though traditional breast cancer treatment takes so long, early cancer techniques require an automation system. This research provides a new methodology for classifying breast cancer using ultrasound pictures that use deep learning and the combination of the best characteristics.… More >

YUANYUAN HUANG^#, HONGMEI WU^#, RUYUAN LIU, SONG JIN, WEILAI XIANG, CHANG YANG, LI XU, XIAONIAN ZHU^*

BIOCELL, Vol.47, No.3, pp. 445-454, 2023, DOI:10.32604/biocell.2023.025880

Abstract The tripartite motif (TRIMs) protein family has E3 ubiquitin ligase activity among most of its members. They participate in multiple cellular processes and signaling pathways in living organisms, including cell cycle, growth, and metabolism, and mediate chromatin modification, transcriptional regulation, post-translational modification, and cellular autophagy. Previous studies have confirmed that the TRIMs protein family is involved in the development of various cancers and correlated with the prognosis of tumor patients. Here we summarize the biological roles of the TRIMs protein family in cancers. More >

Chao Shang, Dongkui Xu^*

Oncologie, Vol.24, No.4, pp. 649-663, 2022, DOI:10.32604/oncologie.2022.027640

Abstract All over the world, the most common malignancy in women is breast cancer. Breast cancer is also a significant factor of death in women. In 2020, approximately 2.3 million cases of breast cancer were newly diagnosed in women globally, and approximately 685,000 people died. Breast cancer incidence varies by region around the world, but it is all increasing. According to the current morbidity and mortality trend of breast cancer, it is estimated that by 2030, the number of incidence and deaths of breast cancer will reach 2.64 million and 1.7 million, respectively. The age-standardized incidence rate was 66.4/100,000 in developed… More >