0% Complete
the 4th international edition and 13th Iranian Conference on Bioinformatics
international edition and Iranian Conference on Bioinformatics
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Bioinformatic analysis of the role of S100A9 inhibition on reducing the brain metastasis in EGFR-mutant lung cancer
نویسندگان :
Homa Mollaei
1
1- University of Birjand
کلمات کلیدی :
Bioinformatic analysis،S100A9،lung cancer،metastasis
چکیده :
Lung cancer is the most relevant cause of cancer deaths all over the world. Non-small cell lung cancer (NSCLC) is the most common type. Brain metastasis (BM) is a serious challenge for about 30-40% of these patients that not only has an important effect on cancer prognosis but also complicates the treatment approaches (Ma.et al. 2024). S100A9 is a calcium binding protein that was first identified in the of multiple inflammatory pathways. Later, Other investigators have mentioned it as migration inhibitory factor related protein (MRP) because of its ability to translocate to keratin intermediate filaments in response to calcium stimulation. S100 proteins are soluble in 100% ammonium sulfate and now considered as a member of the S100 family of calcium binding proteins those are more than 20 members of the S100 family each with special effect in signal transduction (Markowits.et al. 2014, Koh.et al. 2021). In the present bioinformatic analysis we used GSE190704 dataset. In this study, Biswas AK et al. in 2023, revealed that S100A9 inhibition significantly reduces brain relapse from osimertinib-refractory cancer cells. We analyzed their data via GEO2R. To this end 4 control samples (without treatment) and 4 test samples (with inhibitor treatment) were compared. Results demonstrated that caspase 14 (CASP14), coiled-coil domain containing 8 (CCDC8) and interleukin 20 receptor subunit beta (IL20RB) are the genes with the greatest increase in expression level. Caspases are main contributor of metastasis. CASP14 plays a role in protein maturation of filaggrin and DNA repair. Overexpression of this caspase has been reported in several epithelial malignancies. Moreover, CASP14 overexpression is significantly correlated with higher incidence of the early tumor recurrence and increasing the drug resistance (Fang.et al. 2011) CCDC8 defined as a tumor suppressor in several malignancies, such as breast, lung and prostate cancers. It is contributed to gene expression regulation, cell division, and membrane fusion and may suppress the invasion and metastasis of lung cancer cells (Jiang.et al. 2016). IL20RB is a subunit of the interleukin-20 receptor and interleukin-22 receptor. It is believed to be involved in both pro-inflammatory and anti-inflammatory responses and implicated in VEGF-mediated angiogenesis (Zhang.et al. 2022, Dayton.et al. 2021). All together resulted data revealed that inhibition of S100A9 could be effective in the reducing of cancer cell metastasis throughout the overexpression of key regulator of metastasis such as CASP14, CCDC8 and IL20RB. However, further experimental studies are necessary to validate the bioinformatic data.
لیست مقالات
لیست مقالات بایگانی شده
Predicting Adverse Drug Reactions with Advanced Machine Learning Techniques
AlI Mohammadian - Sara Haghighi Bardine - Fatemezahra Alizade
Bioinformatics analysis of the binding of various ligands to the acylhemoserine lactonase derived from Bacillus.
Nasim Forghani - Matia sadat Borhani - Zoheir Heshmatipour - Mahmoud Salehi - Mohadeseh Piri
Comprehensive Gene and Protein Catalog for Antimicrobial Environments: A Metagenomic Approach to Mitigate Antimicrobial Resistance
Donya Afshar Jahanshahi - Arad Ariaeenejad - Arman Hasannejad - Mohammad Reza Zabihi - Shohreh Ariaeenejad - Kaveh Kavousi
Tailoring Stability of Keratinocyte Growth Factor Variants for Effective Wound Healing in Acidic Conditions
Mansoureh Shahbazi Dastjerdeh - Mohammadtaghi Borjian Boroujeni
Enhancing NAFLD Diagnosis with AI: Insights from the Persian Fasa Cohort Through Advanced Machine Learning Techniques
Marzie Shadpirouz - Mohammad Reza Zabihi - Zahra Salehi - Kiarash Zare - Mohammad Mehdi Naghizadeh - Kaveh Kavousi
In silico analysis of Maize WRKY transcription factors in response to drought and salt stress
Majid NorouzI - Sahar Shahgoli - Bahram Baghban Kohnehrouz
Predicting drug response using omics data and artificial intelligence approach in cancer
Abdolhamid Nazerpanahi - Mohammad Ali Hossein Beigy - Amirhossein Keyhanipour - Kaveh Kavousi - Siavash Kavousi
Study population structure in Iranian Arab horse breed by principal component analysis (PCA) and discriminant analysis of principal components (DAPC) methods using genomic data
Behkam Teymori - Hossein Moradi sharbabak - Mohammad Moradi sharbabak - Mohammad Bagher Zandi - Alireza Fotuhi Siahpirani
Investigating hsa-miR-146b and Its Targets TRAF6 and IRAK1 In Gastric Cancer Using Bioinformatic Tools
Ali Nosrat - Vahid Asghariazar - Elham Safarzadeh
Graphene Oxide Nanosheets as Drug Carriers for Erdafitinib in a Targeted Drug Delivery System: A Cutting-Edge Approach to Cancer Therapy
Hooriye Yahyaei - Nahid Shajari - Amirreza Saeni - Ahmadreza Saeni
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0