"Kanker payudara merupakan penyebab utama kematian pada wanita, dengan resistensi terhadap kemoterapi menjadi tantangan yang signifikan. Alternatif terapi, seperti ekstrak tanaman, telah menunjukkan potensi efek antikanker, khususnya terhadap sel MCF-7. Penelitian ini bertujuan untuk menganalisis ekspresi gen, interaksi protein-protein, dan penambatan molekuler pada sel MCF-7 yang diberikan ekstrak Solanum lycopersicum, Cimicifuga racemosa, dan Leuzea carthamoides. Penelitian ini menggunakan pendekatan in silico untuk menganalisis dataset GEO GSE6800, GSE94548, dan GSE6803 yang memuat data ekstrak Solanum lycopersicum, Cimicifuga racemosa, Leuzea carthamoides, dan sel MCF-7. Pola ekspresi gen tanaman menunjukkan perbedaan, baik pada gen yang meningkat maupun menurun ekspresinya. Ekspresi gen dianalisis menggunakan algoritma limma, sementara interaksi protein-protein dianalisis melalui STRING dan divisualisasikan dengan Cytoscape. Penambatan molekuler dilakukan dengan AutoDock, sementara prediksi drug-likeness dan ADME/Tox menggunakan pkCSM dan ProTox-3.0. Terdapat perbedaan signifikan dalam ekspresi gen antara kelompok perlakuan dan kontrol, meliputi gen yang meningkat maupun menurun. Melalui analisis protein-protein, protein SLC7A5, BLM, RACGAP1, AKR1C1, dan AKR1C3 teridentifikasi sebagai penanda fenotipe dan Gene Ontology terkait kanker payudara. Penambatan molekuler mengungkap 15 senyawa potensial sebagai kandidat terapi dengan kelima target protein, menunjukkan nilai binding affinity -6,62 hingga -10,48 kkal/mol. Prediksi ADMETox menunjukkan semua senyawa memenuhi prinsip ADME dan toksisitas, kecuali polypodine B. Ekstrak Solanum lycopersicum, Cimicifuga racemosa, dan Leuzea carthamoides berpotensi memiliki efek antikanker melalui ekspresi gen dan interaksi protein, membuka peluang untuk pengembangan agen kemoterapi berbasis tanaman.
Breast cancer remains a leading cause of mortality among women, with resistance to chemotherapy presenting a major obstacle. Plant extracts have shown promising anticancer effects, notably against MCF-7 cells. This study investigates gene expression, protein-protein interactions, and molecular docking in MCF-7 cells treated with extracts from Solanum lycopersicum, Cimicifuga racemosa, and Leuzea carthamoides. An in silico analysis was conducted using GEO datasets GSE6800, GSE94548, and GSE6803, containing data on Solanum lycopersicum, Cimicifuga racemosa, and Leuzea carthamoides extracts in MCF-7 cells. Gene expression patterns, featuring both upregulated and downregulated genes, were analyzed using the limma algorithm. Protein-protein interactions were examined using STRING and visualized via Cytoscape. Molecular docking was performed with AutoDock, while drug-likeness and ADME/Tox predictions were assessed using pkCSM and ProTox-3.0. Significant differences in gene expression were found between treated and control groups, with both increased and decreased gene activity. Protein-protein interaction analysis identified key targets, including SLC7A5, BLM, RACGAP1, AKR1C1, and AKR1C3, which are associated with breast cancer phenotypes. Molecular docking revealed 15 potential therapeutic compounds targeting these proteins, showing binding affinities ranging from -6.62 to -10.48 kcal/mol. ADMETox predictions confirmed adherence to drug-likeness and toxicity standards, except for polypodine B. Extracts from Solanum lycopersicum, Cimicifuga racemosa, and Leuzea carthamoides demonstrate potential anticancer properties by modulating gene expression and protein interactions, offering a basis for developing plant-based chemotherapeutics. "
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2024
