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Background: In recent years, targeted cancer treatment methods at various molecular levels have been developed for Non-Small Cell Lung Cancer (NSCLC), one of two major subtypes of lung cancer. miRNAbased clinical trials are currently the preferred targeted therapeutic strategy. Also, ceRNAs (competing endogenous RNA) would be the newest and the most effective approach to uncover novel interactions between mRNAs and miRNAs in NSCLC carcinogenesis. There are many factors influencing the efficiency of a miRNA to suppress or silence translation of the target mRNA. The most effective event is the presence of other RNAs showing ceRNA activity. These RNAs contain binding sites for specific miRNAs and enable miRNAs to bind these pseudo targets, instead of the original binding sites on the target mRNA. Therefore, the mRNA of the target gene is less affected by this miRNA, while the amount of miRNA remains the same in the media. Method: For this project, we determined that five clinically important different oncogenes (PDL1, FGFR1, DDX3X, SLC1A5, FXR1) are involved in the pathogenesis of NSCLC. For this purpose, we transfected model NSCLC cell line, A549, with miRNAs (miR-150-5p, miR-15a-5p, miR-503-5p) targeting these oncogenes to investigate whether these oncogenes will be suppressed at the mRNA level and also how the suppression efficiency of these miRNA on the oncogenes will be affected by possible ceRNA (CNKSR3, POU2F1, HIPK2) activities. Results: miR-15a-5p was determined to have the most suppressive effect on the five genes and three potential ceRNAs (p<0.05). Furthermore, CNKSR3 was the ceRNA most affected by all three miRNAs (p<0.05). Conclusion: CNKSR3 was affected more than the oncogenes known to act on NSCLC and this might make it a stronger and novel marker for use in possible treatment regimens designed using miR-15a-5p silencing effect on oncogenes in NSCLC pathogenesis. According to the literature, this is the first study associating NSCLC with miR-15a-5p and

Background: In recent years, targeted cancer treatment methods at various molecular levels have been developed for Non-Small Cell Lung Cancer (NSCLC), one of two major subtypes of lung cancer. miRNAbased clinical trials are currently the preferred targeted therapeutic strategy. Also, ceRNAs (competing endogenous RNA) would be the newest and the most effective approach to uncover novel interactions between mRNAs and miRNAs in NSCLC carcinogenesis. There are many factors influencing the efficiency of a miRNA to suppress or silence translation of the target mRNA. The most effective event is the presence of other RNAs showing ceRNA activity. These RNAs contain binding sites for specific miRNAs and enable miRNAs to bind these pseudo targets, instead of the original binding sites on the target mRNA. Therefore, the mRNA of the target gene is less affected by this miRNA, while the amount of miRNA remains the same in the media. Method: For this project, we determined that five clinically important different oncogenes (PDL1, FGFR1, DDX3X, SLC1A5, FXR1) are involved in the pathogenesis of NSCLC. For this purpose, we transfected model NSCLC cell line, A549, with miRNAs (miR-150-5p, miR-15a-5p, miR-503-5p) targeting these oncogenes to investigate whether these oncogenes will be suppressed at the mRNA level and also how the suppression efficiency of these miRNA on the oncogenes will be affected by possible ceRNA (CNKSR3, POU2F1, HIPK2) activities. Results: miR-15a-5p was determined to have the most suppressive effect on the five genes and three potential ceRNAs (p<0.05). Furthermore, CNKSR3 was the ceRNA most affected by all three miRNAs (p<0.05). Conclusion: CNKSR3 was affected more than the oncogenes known to act on NSCLC and this might make it a stronger and novel marker for use in possible treatment regimens designed using miR-15a-5p silencing effect on oncogenes in NSCLC pathogenesis. According to the literature, this is the first study associating NSCLC with miR-15a-5p and

MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression, involved in the silencing of messenger RNA (mRNA) translation. The importance of miRNA signatures in disease screening, prognosis, and progression of different tumor types and subtypes is increasing. miRNA expression levels change depending on numerous factors. In this review, we are describing the circumstances under which miRNA levels can change, these are named levels of heterogeneity of miRNAs. miRNAs can have oncogenic, tumor suppressive, or both roles depending on tumor type and target mRNA whose translation they silence. The expression levels of a single miRNA may vary across different cancer types and subtypes, indicating that a miRNA signature may be tissue specific. miRNA levels of expression also vary during disease formation and propagation, indicating the presence of a time profile for their expression. The complexity of the miRNA-mRNA interference network mirrors different genetic and epigenetic changes that influence miRNA and mRNA availability to each other, and hence, their binding ability. The potential role of miRNAs as biomarkers is two-fold; first, for monitoring of the phases of cancer pathogenesis, and second, to characterize the particular type/subtype of cancer. It is important that a particular miRNA should be characterized by examining as many types and subtypes of cancers as are available, as well as being extracted from different types of samples, in order to obtain a complete picture of its behavior and importance in the disease pathology.

MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression, involved in the silencing of messenger RNA (mRNA) translation. The importance of miRNA signatures in disease screening, prognosis, and progression of different tumor types and subtypes is increasing. miRNA expression levels change depending on numerous factors. In this review, we are describing the circumstances under which miRNA levels can change, these are named levels of heterogeneity of miRNAs. miRNAs can have oncogenic, tumor suppressive, or both roles depending on tumor type and target mRNA whose translation they silence. The expression levels of a single miRNA may vary across different cancer types and subtypes, indicating that a miRNA signature may be tissue specific. miRNA levels of expression also vary during disease formation and propagation, indicating the presence of a time profile for their expression. The complexity of the miRNA-mRNA interference network mirrors different genetic and epigenetic changes that influence miRNA and mRNA availability to each other, and hence, their binding ability. The potential role of miRNAs as biomarkers is two-fold; first, for monitoring of the phases of cancer pathogenesis, and second, to characterize the particular type/subtype of cancer. It is important that a particular miRNA should be characterized by examining as many types and subtypes of cancers as are available, as well as being extracted from different types of samples, in order to obtain a complete picture of its behavior and importance in the disease pathology.