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Study of Ordinal Regression Method for Supporting Factors Investigation in Stages Condition of Breast Cancer Patients in Dr. Soetomo Surabaya Hospital, Indonesia
Dr. Soetomo Surabaya Hospital in 2019 received 167,000 cancer patients, and the highest was breast cancer. The increase in the stage of breast cancer is caused by the size of the tumor and how widely the cancer cells... -
Pharmacophore Modeling, Molecular Docking, and ADMET Approach for Identification of Anti-Cancer Agents Targeting the C-Jun N-Terminal Kinase (JNK) Protein
One of the most prevalent cancers in Indonesia is breast cancer, based on Indonesia's pathological-based registration.   Breast cancer is a complex, heterogeneous disease classified into... -
The Implementation of Machine Learning Algorithms for Breast Cancer Biomarker Validation in Metabolomics Studies
Breast cancer is a heterogeneous disease characterized by distinct molecular and metabolic characteristics, making its diagnostics and treatment challenging. The existence of metabolic reprogramming in breast cancer... -
Flavonoid Role as Autophagy Modulators in Breast Cancer Treatment Strategy
Autophagy is a tightly regulated catabolic process that enables cancer cells to survive under metabolic stress and contributes to the development of chemoresistance. Targeting autophagy has therefore emerged as a... -
Connecting the Dots: Transcriptomic Approaches and Relationship between Myocardial Infarction and Breast Cancer
Myocardial infarction, resulting from coronary blood vessel blockage, inflicts lasting damage on the heart muscle. Meanwhile, breast cancer ranks among the most diagnosed cancers, causing millions of deaths annually.... -
Exploring the Chemopreventive Potential of Soybean Phytochemicals Targeting BRCA1 Protein: A Molecular Docking Study
Breast cancer remains a significant cause of cancer-related mortality among women globally, highlighting the importance for preventive strategies targeting early molecular events. BRCA1 plays a critical role in... -
In Silico Evaluation of Bisbenzylisoquinoline Compounds from Stephania sp. as EGFR Inhibitors for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC) represents a highly aggressive breast malignancy subtype characterized by constrained therapeutic alternatives and poor clinical outcomes. Since Epidermal Growth Factor Receptor... -
In Silico Evaluation of Cardiac Glycosides from Vernonia amygdalina as EGFR Inhibitors in Triple Negative Breast Cancer
Triple-negative breast cancer (TNBC) is an aggressive subtype with limited targeted therapies, emphasizing the urgent need for novel molecular inhibitors. Epidermal growth factor receptor (EGFR) is overexpressed in... -
Integrative Transcriptomic and Docking Analysis of Coffee Bioactives Targeting CCNA2, AKT1, and CDK2 in TNBC
Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype characterized by high proliferation rates, poor prognosis, and limited therapeutic options. Coffee-derived bioactive compounds have...