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All Journal Pharmaciana: Jurnal Kefarmasian Media Farmasi : Jurnal Ilmu Farmasi (Journal Of Pharmaceutical Science) Jurnal Farmasi Klinik Indonesia Pharmascience Biomedical Journal of Indonesia Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Majalah Farmasi dan Farmakologi (Trends in Pharmacy and Pharmaceutical Sciences) Jurnal Ulul Albab SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Lumbung Farmasi : Jurnal Ilmu Kefarmasian Narra J Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Medical Sains : Jurnal Ilmiah Kefarmasian Media Farmasi Indonesia Borneo Journal of Pharmacy Medical Sains : Jurnal Ilmiah Kefarmasian
Wirawan Adikusuma
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Promising candidate drug target genes for repurposing in cervical cancer: A bioinformatics-based approach Pratiwi, Nurfi; Ulfah, Aida J.; Rachmadina, Rachmadina; Irham, Lalu M.; Afief, Arief R.; Adikusuma, Wirawan; Darmawi, Darmawi; Kemal, Rahmat A.; Rangkuti, Ina F.; Savira, Maya
Narra J Vol. 4 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i3.938

Abstract

Cervical cancer is the fourth most common cancer among women globally, and studies have shown that genetic variants play a significant role in its development. A variety of germline and somatic mutations are associated with cervical cancer. However, genomic data derived from these mutations have not been extensively utilized for the development of repurposed drugs for cervical cancer. The objective of this study was to identify novel potential drugs that could be repurposed for cervical cancer treatment through a bioinformatics approach. A comprehensive genomic and bioinformatics database integration strategy was employed to identify potential drug target genes for cervical cancer. Using the GWAS and PheWAS databases, a total of 232 genes associated with cervical cancer were identified. These pharmacological target genes were further refined by applying a biological threshold of six functional annotations. The drug target genes were then cross-referenced with cancer treatment candidates using the DrugBank database. Among the identified genes, LTA, TNFRSF1A, PRKCZ, PDE4B, and PARP were highlighted as promising targets for repurposed drugs. Notably, these five target genes overlapped with 12 drugs that could potentially be repurposed for cervical cancer treatment. Among these, talazoparib, a potent PARP inhibitor, emerged as a particularly promising candidate. Talazoparib is currently being investigated for safety and tolerability in other cancers but has not yet been studied in the context of cervical cancer. Further clinical trials are necessary to validate this finding and explore its potential as a repurposed drug for cervical cancer.
Unveiling the impacts of metformin on hepatocellular carcinoma: A bioinformatic exploration in cell lines Soraya, Soraya; Arfianti, Arfianti; Adikusuma, Wirawan; Irham, Lalu M.; Hamidy, Muhammad Y.; Winarto, Winarto; Rangkuti, Ina F.; Darmawi, Darmawi
Narra J Vol. 4 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i3.968

Abstract

The most common type of liver cancer is hepatocellular carcinoma (HCC), accounting for 75–85% of cases. Despite its associated side effects, sorafenib remains the standard treatment for HCC. Given the critical need to improve therapeutic efficacy while minimizing adverse effects, alternative drugs must be thoroughly investigated. Numerous studies indicate that combining sorafenib with metformin results in a more favorable treatment profile. The aim of this study was to employ bioinformatics methodologies to elucidate the molecular pathways and genetic underpinnings of metformin's efficacy in HCC treatment. Genes associated with metformin and its action against HCC (Huh-7 and HepG2 cells) were acquired from the NCBI-GEO data collection by utilizing pre-determined keywords. Subsequently, pathways implicated in metformin-mediated HCC treatment were analyzed through the Kyoto Encyclopedia of Genes and Genomes (KEGG). Our analysis revealed the involvement of multiple pathways, with metabolic pathways implicated in 80% of the total cases. Neurodegenerative pathways were involved in only around 60% of the total cases. These findings align with the multifaceted mechanisms of metformin’s action, encompassing adenosine monophosphate-activated protein kinase activation, apoptosis induction, insulin regulation, anti-inflammatory responses, and modulation of cell proliferation. This comprehensive investigation sheds light on the intricate molecular landscape underpinning metformin's therapeutic efficacy in HCC, thereby informing potential avenues for optimizing treatment strategies.
Co-Authors Abdi Wira Septama Abdi Wira Septama Abdi Wira Septama Abdi Wira Septama Abdi Wira Septama Abdi Wira Septama Adi Wira Septama Adrian A. Kaptein Afief, Arief R. Afief, Arief Rahman Ageng Brahmadhi Anak Agung Gede Sugianthara Ananda, Dwi Rizki Anisa Devi Kharisma Wibowo Anisa Nova Puspitaningrum Anisa Nova Puspitaningrum Anisa Nova Puspitaningrum Anita Silas La’ah Anna Pradiningsih Anna Pradiningsih Annisa Abdi Ghifari Arfianti Arfianti Arief Rahman Afief Arief Rahman Afief Arief Rahman Afief Asamuni, GJ Rahma Dewi Auren Nathania Ayu Fatmala Ayu Lifia Nur Kartikasari Baiq Leny Nopitasari Baiq Lenysia Puspita Anjani Baiq Nurbaety Barkah Djaka Purwanto Barkah Djaka Purwanto Cheung, Rocky Chong, Rockie Cyntiya Rahmawati Danang Prasetyaning Amukti Darmawi Darmawi . Darmawi Darmawi Donel S Dyah A. Perwitasari Dyah Aryani Perwitasari Eko Mugiyanto Eko Satria Putra Firdayani Firdayani Firdayani Firdayani, Firdayani Firman Firman Fita Yuliana Furqani, Nur Gina Noor Djalilah GJ Rahma Dewi Asamuni Haafizah Dania Haafizah Dania Haafizah Dania Hamidy, Muhammad Y. Henry Budiawan Prasetya Herjanti Ratnawiningsih Imaniar Noor Faridah Imaniar Noor Faridah Indri Istiqomah Irham, Lalu M. Irmatika Hendriyani Kartikasari, Ayu Lifia Nur Kemal, Rahmat A. Khair, Riat Khairi, Sabiah La Malihi Lalu Muhammad Irham La’ah, Anita Silas Leina Putri Zahra Lisza Niarisessa Made Ary Sarasmita Maliza, Rita MARIA BINTANG Maulida Mazaya Maya Savira Ma’ruf, Muhammad Medi Sushanti, Nining Melodia Rezadhini Melodia Rezadhini Moch. Saiful Bachri Muhammad Yulis Hamidy Nanik Sulistyani Nathania, Auren Ni Made Ary Sarasmita Nining Medi Sushanti Nining Medi Sushanti Nopitasari, Baiq Leny Nugraha, Media Fitri Isma Isma Nur Furqani Nurfi Pratiwi, Nurfi NURUL AZIZAH Nurul Hidayatullah Nurul Qiyaam, Nurul Pendicho Eko Yuliyanto Pranata, Satria Purwanto, Barkah Djaka Puspita Anjani, Baiq Lenysia Puspita Puspitaningrum, Anisa Nova Putu Gede Suriya Gunawan Rachmadina, Rachmadina Rahmat Dani Satria Rahmawati, Cyntiya Rangkuti, Ina F. Razali, Renardy Reza Renardy Reza Razali Rezadhini, Melodia Ria Indah Pratami Riat El Khair Riat Khair Rihhadatul Aisy Risma Widia Ningsih Rockie Chong Rocky Cheung Rocky Cheung Rocky Cheung S, Donel Safwan Safwan Safwan Safwan Santri, Ichtiarini Nurullita Satria, Rahmat Dani Shoma Rikifani Sierly, Nadia Siswanto, Lalu Muhammad Harmain Soraya Soraya Suhandri, Wiwin Tien Partini Tri Murti Andayani Ulfah, Aida J. Uswaton Hasanah Wibowo, Anisa Devi Kharisma Winarto Winarto Winarto Winarto Wiwin Suhandri Wiwit Ade Fidiawati Wiwit Ade Fidiawati Woro Supadmi Woro Supadmi Yudha Rizky Nuari Zahra, Leina Putri Zainul Amiruddin Zakaria Zakaria, Zainul Amiruddin