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Relationship: 2610

Title

A descriptive phrase which clearly defines the two KEs being considered and the sequential relationship between them (i.e., which is upstream, and which is downstream). More help

Increase,miRNA levels leads to Decrease,SIRT1(sirtuin 1) levels

Upstream event
The causing Key Event (KE) in a Key Event Relationship (KER). More help
Downstream event
The responding Key Event (KE) in a Key Event Relationship (KER). More help

Key Event Relationship Overview

The utility of AOPs for regulatory application is defined, to a large extent, by the confidence and precision with which they facilitate extrapolation of data measured at low levels of biological organisation to predicted outcomes at higher levels of organisation and the extent to which they can link biological effect measurements to their specific causes.Within the AOP framework, the predictive relationships that facilitate extrapolation are represented by the KERs. Consequently, the overall WoE for an AOP is a reflection in part, of the level of confidence in the underlying series of KERs it encompasses. Therefore, describing the KERs in an AOP involves assembling and organising the types of information and evidence that defines the scientific basis for inferring the probable change in, or state of, a downstream KE from the known or measured state of an upstream KE. More help

AOPs Referencing Relationship

AOP Name Adjacency Weight of Evidence Quantitative Understanding Point of Contact Author Status OECD Status
DNA damage and mutations leading to Metastatic Breast Cancer adjacent Moderate Moderate Usha Adiga (send email) Under development: Not open for comment. Do not cite Under Development

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) that help to define the biological applicability domain of the KER.In general, this will be dictated by the more restrictive of the two KEs being linked together by the KER.  More help
Term Scientific Term Evidence Link
human Homo sapiens High NCBI
human and other cells in culture human and other cells in culture High NCBI
mice Mus sp. Moderate NCBI

Sex Applicability

An indication of the the relevant sex for this KER. More help
Sex Evidence
Female High

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help
Term Evidence
Adult, reproductively mature Moderate

Key Event Relationship Description

Provides a concise overview of the information given below as well as addressing details that aren’t inherent in the description of the KEs themselves. More help

Upstream event: Increased, miRNA

Downstream event: SIRT1, Reduced

The described Key Event Relationship (KER) outlines a sequence of events involving microRNA (miRNA) regulation and its downstream consequences. The upstream event is characterized by "Increased miRNA," indicating an elevation in the levels of miRNA molecules within the cell. miRNAs are small non-coding RNA molecules that play a role in post-transcriptional gene regulation by targeting messenger RNAs (mRNAs) for degradation or translational repression.

The downstream event in this KER is "SIRT1 Reduced," which suggests a reduction in the levels or activity of the protein SIRT1. SIRT1 is a member of the sirtuin family of proteins involved in various cellular processes, including DNA repair, metabolism, and stress response. The miRNAs, as part of their regulatory function, can target and inhibit the expression of genes, including SIRT1, leading to a decrease in its abundance or function.

This KER underscores the intricate regulatory mechanisms within cells, where miRNAs can modulate the expression of target genes and consequently influence cellular processes. Understanding these interactions contributes to a comprehensive grasp of how molecular events are interconnected and how changes in miRNA levels can impact downstream protein expression and cellular responses.

Evidence Collection Strategy

Include a description of the approach for identification and assembly of the evidence base for the KER. For evidence identification, include, for example, a description of the sources and dates of information consulted including expert knowledge, databases searched and associated search terms/strings.  Include also a description of study screening criteria and methodology, study quality assessment considerations, the data extraction strategy and links to any repositories/databases of relevant references.Tabular summaries and links to relevant supporting documentation are encouraged, wherever possible. More help

Employing a rigorous evidence collection strategy in line with OECD guidelines, the Key Event Relationship (KER) "Increase in miRNA levels leads to Decrease in SIRT1 levels" was systematically supported. Initiating with increased miRNA levels, comprehensive miRNA profiling utilizing techniques such as microarrays and next-generation sequencing provided direct evidence of altered miRNA expression in response to specific stimuli. These changes were correlated with the identification of putative miRNA binding sites in the SIRT1 gene's 3' untranslated region (UTR), elucidating the potential mechanistic basis for the subsequent SIRT1 downregulation.

To validate the subsequent decrease in SIRT1 levels, a combination of molecular techniques was employed. Western blotting and quantitative real-time polymerase chain reaction (qRT-PCR) assays were utilized to quantify SIRT1 protein and mRNA expression, respectively. Parallel studies involving cell lines, animal models, and human samples allowed for cross-validation and broadened the applicability of the relationship.

Mechanistic insights were further obtained through gain-of-function and loss-of-function experiments. miRNA mimics and inhibitors were employed to modulate miRNA levels and assess their effect on SIRT1 expression. Complementary studies explored the downstream signaling pathways linking miRNA-mediated regulation to SIRT1 downregulation, offering a mechanistic basis for the KER.

Real-world relevance was established by examining cases of miRNA dysregulation in response to environmental exposures or diseases. By integrating findings from diverse experimental models, mechanistic investigations, and relevant case studies, the evidence base for the KER "Increase in miRNA levels leads to Decrease in SIRT1 levels" was robustly constructed, aligned with OECD principles.

Evidence Supporting this KER

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help
Biological Plausibility
Addresses the biological rationale for a connection between KEupstream and KEdownstream.  This field can also incorporate additional mechanistic details that help inform the relationship between KEs, this is useful when it is not practical/pragmatic to represent these details as separate KEs due to the difficulty or relative infrequency with which it is likely to be measured.   More help

There are several signaling pathways that establishing the role of increased miRNA expression in downregulating SIRT 1 gene few of which are listed as follows;

Butyrate–miR-22–SIRT1

Butyrate, a short-chain fatty acid, is produced by the intestinal microbiome via anaerobic fermentation and is subsequently absorbed by the hepatocytes (Besten et al., 2013). Butyrate has been demonstrated to cause apoptosis and reduce carcinogenesis in a variety of cancers (Tailor et al.,2014; Rahmani et al.,2002). Although butyrate has been shown to suppress SIRT1 gene expression in various cancers, this has yet to be proven in hepatocellular carcinoma (HCC) (Iglesias et al., 2007). In HCC, miR-22 was found to be downregulated, and its low levels aided carcinogenesis (Zhang et al.,2010). The Huh7 cells' in vitro proliferation was decreased by miR-22 expression, which activated apoptosis. In Huh7 cells, on the other hand, SIRT1 expression was high, which enhanced the expression of antioxidants such superoxide dismutase (SOD), allowing cell growth to continue (Chen et al.,2012). Butyrate upregulated miR-22 in Huh7 cells, which binds directly to the 3′UTR region of SIRT1 and suppresses its expression; this decreased SOD function and increased ROS generation, increasing caspase 3 and cytochrome c activity, and encouraging apoptosis (Pant et al .,2017).Furthermore, by downregulating SIRT1, miR22 increased PTEN and gsk-3 expression and downregulated β catenin and p-akt expression and thus may promote apoptosis and decrease HCC proliferation (Pant et al .,2017).

Notch3–SIRT1–LSD1–SOX2 Signaling Pathway

Lysine demethylase 1 (LSD1) is an epigenetic regulator responsible for demethylating various histones and controls the pluripotency of stem cells (Adamo et al.,2011; Whyte et al., 2012; Thambyrajah et al., 2016).

In comparison to normal hepatic parenchyma, HCC cells overexpress LSD1. Furthermore, LSD1 is highly expressed in LCSCs, where it regulates SOX2 gene transcription, promotes self-renewal and carcinogenesis, and is linked to a poor patient prognosis (Liu et al.,2018). LSD1 demethylated the SOX2 promoter, increasing its expression and improving LCSC stemness in a similar way to SIRT1 via DNMT3A. Acetylation suppresses LSD1's enzymatic activity and promotes its breakdown via UPP. SIRT1 enhanced the stability of LSD1 by deacetylating it . Notch signalling is essential for cell survival and proliferation (Bouras et al., 2008). Notch receptors are overexpressed in most HCCs, and their ligand expression has been linked to aggressive tumour characteristics (Tschaharganeh et al., 2013). The Wnt/-catenin pathway was activated by Notch, which enhanced HCC growth and metastasis (Wang et al.,2016; Wu et al .,2017). Notch signalling has also been demonstrated to increase CSC self-renewal. SIRT1 expression was enhanced by Notch3 signalling, which also promoted LDS1 deacetylation and activated LSD1 which consequently promotes LCSC self-renewal. The Notch3- dependent pathway was crucial for LCSC self-renewal and in vivo tumor dissemination.

MiR-133b is a tumour suppressor that has been found to be significantly decreased in a variety of malignancies (Hu et al.,2010). When compared to paired neighbouring normal tissue, miR-133b expression was shown to be lower in the majority of HCC samples (El-Halawany et al.,2015). Furthermore, overexpression of miR-133b in HepG2 cells inhibited HCC cell growth and invasion while promoting apoptosis (Tian et al.,2016). In nude mice with orthotopic HepG2 cell tumours, increase of miR-133b also reduced tumour growth. In human HCC cells, miR-133b targets SIRT1 and has an adverse relationship with it. Increased miR-133b expression significantly reduced SIRT1 mRNA and protein expression. Overall, miR-133b appears to have an anti-cancer effect in HCC cells through suppressing SIRT1 expression.

In Huh7 and HepG2 cell lines, inhibiting the SIRT1–SREBP pathway lowered proliferation and DNA synthesis, reduced lipid anabolism, and repressed tumorigenesis (Zhang et al.,2014).

MiR-486 inhibits HCC invasion and tumorigenicity by directly targeting and suppressing SIRT1 expression. This reduced the tumorigenic and chemo-resistant features of LCSCs and inhibited HCC invasion and tumorigenicity (Yan et al.,2019).

The miR-29 family inhibits tumour growth by targeting Mcl-1 and Bcl-2. MiR-29c inhibits hepatocytic SIRT1 and so has tumor-suppressing properties. Ectopic miR-29c expression suppressed cell growth by lowering SIRT1 expression. In hepatocytes, miR-29c directly targets and inhibits SIRT1 mRNA translation (Bae et al., 2014).

SIRT1 was downregulated at the mRNA and protein levels when miR-138 expression was increased. MiR-138 binds to the SIRT1 gene's 3′UTR unique complimentary site and inhibits SIRT1 expression directly, preventing HCC proliferation, migration, and invasion (Luo et al.,2017).When compared to the normal hepatic cell line L02, SIRT1 is overexpressed, while miR-138 levels are lowered in HepG2, SMMC7721, Bel7404, and HCCM3

Uncertainties and Inconsistencies
Addresses inconsistencies or uncertainties in the relationship including the identification of experimental details that may explain apparent deviations from the expected patterns of concordance. More help

Not specific.

Known modulating factors

This table captures specific information on the MF, its properties, how it affects the KER and respective references.1.) What is the modulating factor? Name the factor for which solid evidence exists that it influences this KER. Examples: age, sex, genotype, diet 2.) Details of this modulating factor. Specify which features of this MF are relevant for this KER. Examples: a specific age range or a specific biological age (defined by...); a specific gene mutation or variant, a specific nutrient (deficit or surplus); a sex-specific homone; a certain threshold value (e.g. serum levels of a chemical above...) 3.) Description of how this modulating factor affects this KER. Describe the provable modification of the KER (also quantitatively, if known). Examples: increase or decrease of the magnitude of effect (by a factor of...); change of the time-course of the effect (onset delay by...); alteration of the probability of the effect; increase or decrease of the sensitivity of the downstream effect (by a factor of...) 4.) Provision of supporting scientific evidence for an effect of this MF on this KER. Give a list of references.  More help

SIRT1 has been found to have a number of endogenous and external regulators. SIRT1 activity is naturally inhibited by the protein encoded by deleted in breast cancer 1 (DBC1). DBC1 forms a tumour suppressor complex with SIRT1, but knocking out DBC1 increases SIRT1 activity, promoting tumorigenesis. The small molecule resveratrol was the first to be discovered to regulate SIRT1 activity and extend life span. After the effect of resveratrol upon SIRT1 was characterized, high throughput screening was used to find other small molecule activators of SIRT.

Response-response Relationship
Provides sources of data that define the response-response relationships between the KEs.  More help

No specific pattern of response response relationship was observed.

Time-scale
Information regarding the approximate time-scale of the changes in KEdownstream relative to changes in KEupstream (i.e., do effects on KEdownstream lag those on KEupstream by seconds, minutes, hours, or days?). More help

In study by Jiang et al,  it was shown that miR‐204‐5p targeting SIRT1 regulates hepatocellular carcinoma progression. The results were noted within 48 hours during the experiment (Jiang et al., 2016).

Known Feedforward/Feedback loops influencing this KER
Define whether there are known positive or negative feedback mechanisms involved and what is understood about their time-course and homeostatic limits. More help

p53-miR-34a–SIRT1 Signaling Pathway

0404 is a DNA-damaging substance that has no cytotoxic effects on human hepatocytes that aren't malignant. In an in vivo HepG2 HCC model, 0404 caused apoptosis and inhibited proliferation. P53 WT HepG2 cells, on the other hand, were more susceptible to 0404 than p53 mutant Huh7 cell lines (Xia et al.,2017). P53 influences the expression of several miRs. As a result, a large number of miRs target the 3′UTR region of the p53 mRNA. As a result, p53 and miRs could establish a feedback loop (Zhang et al., 2015). The miR-34 family has been identified as the most common p53-induced miRs and is commonly suppressed in diverse malignancies (Xiao et al.,2014, Lou et al.,2015). In HCC cells, miR-34a increased p53 transcription and acetylation while also inducing apoptosis. 0404 enhanced p53 and miR-34a expression, elevated acetylated p53, and downregulated SIRT1 protein expression in HepG2 but not Huh7 cell lines, inhibiting HCC growth (Xiao et al.,2014).

In HCC, the lncRNA metastasis associated lung adenocarcinoma transcript 1 (MALAT1) is highly expressed, promoting development and invasion. MALAT1 stimulates the formation of HCC CSCs by activating the mechanistic target of rapamycin (mTOR) signalling pathway (Malakar et al.,2017;Yuan et al 2016). MiR-204, in contrast to MALAT1, promotes apoptosis by activating p53 and suppressing Bcl-2, an anti-apoptotic protein (Ryan et al.,2012 ). Cancer stemness and EMT were also suppressed by miR-204, which increased chemosensitivity (Ryan et al.,2012 ;Sacconi et al.,2012). MALAT1 expression, on the other hand, was negatively linked with miR-204 levels. MALAT1 binds to miR-204 and inhibits its expression by binding directly to it (Hou et al., 2017). SIRT1 appears to play a key role in the interaction between MALAT1 and miR-204. SIRT1 is recognised to play a role in HCC EMT, migration, and invasion. MiR-204 specifically targets SIRT1 and silences it (Hou et al.,2017).

However, because SIRT1 and MALAT1 bind to the same miR-204 region, MALAT1 may compete with SIRT1 for miR204 binding, reducing miR-204-induced SIRT1 suppression. Overall, MALAT1 inhibited miR-204 activity, resulting in an elevation in SIRT1, which encouraged HCC migration and invasion (Hou et al., 2017). MALAT1 inhibition reduced the aggressiveness of HCC, making it a possible therapeutic target (Hou et al., 2017).

Domain of Applicability

A free-text section of the KER description that the developers can use to explain their rationale for the taxonomic, life stage, or sex applicability structured terms. More help

The key event relationship was observed in humans,animals irrespective of gender and life stage specificity.

References

List of the literature that was cited for this KER description. More help

 Adamo, A., Barrero, M. J., & Izpisua Belmote, J. C. (2011). LSD1 and pluripotency: a new player in the network. Cell Cycle10(19), 3215-3216.

Bae, H. J., Noh, J. H., Kim, J. K., Eun, J. W., Jung, K. H., Kim, M. G., ... & Nam, S. W. (2014). MicroRNA-29c functions as a tumor suppressor by direct targeting oncogenic SIRT1 in hepatocellular carcinoma. Oncogene33(20), 2557-2567.

Bai, X. Z., Zhang, J. L., Liu, Y., Zhang, W., Li, X. Q., Wang, K. J., ... & Hu, D. H. (2018). MicroRNA-138 aggravates inflammatory responses of macrophages by targeting SIRT1 and regulating the NF-κB and AKT pathways. Cellular Physiology and Biochemistry49(2), 489-500.

den Besten, G. K. van Eunen AK Groen K. Venema DJ Reijngoud, and Bakker BM 2013. The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism. j. Lipid Res54, 2325-2340.

Bouras, T., Pal, B., Vaillant, F., Harburg, G., Asselin-Labat, M. L., Oakes, S. R., ... & Visvader, J. E. (2008). Notch signaling regulates mammary stem cell function and luminal cell-fate commitment. Cell stem cell3(4), 429-441.

Chen, H. C., Jeng, Y. M., Yuan, R. H., Hsu, H. C., & Chen, Y. L. (2012). SIRT1 promotes tumorigenesis and resistance to chemotherapy in hepatocellular carcinoma and its expression predicts poor prognosis. Annals of surgical oncology19(6), 2011-2019.

 El-Halawany, M. S., Ismail, H. M., Zeeneldin, A. A., Elfiky, A., Tantawy, M., Kobaisi, M. H., ... & Abdel Wahab, A. H. A. (2015). Investigating the pretreatment miRNA expression patterns of advanced hepatocellular carcinoma patients in association with response to TACE treatment. BioMed research international2015.

 Fu, H., Song, W., Chen, X., Guo, T., Duan, B., Wang, X., ... & Zhang, C. (2018). MiRNA-200a induce cell apoptosis in renal cell carcinoma by directly targeting SIRT1. Molecular and cellular biochemistry437(1), 143-152. 

Guo, S., Ma, B., Jiang, X., Li, X., & Jia, Y. (2020). Astragalus polysaccharides inhibits tumorigenesis and lipid metabolism through miR-138-5p/SIRT1/SREBP1 pathway in prostate cancer. Frontiers in Pharmacology11, 598. 

Guan, Y., Rao, Z., & Chen, C. (2018). miR-30a suppresses lung cancer progression by targeting SIRT1. Oncotarget9(4), 4924.

 Hou, Z., Xu, X., Zhou, L., Fu, X., Tao, S., Zhou, J., ... & Liu, S. (2017). The long non-coding RNA MALAT1 promotes the migration and invasion of hepatocellular carcinoma by sponging miR-204 and releasing SIRT1. Tumor Biology39(7), 1010428317718135.

Hu, G., Chen, D., Li, X., Yang, K., Wang, H., & Wu, W. (2010). miR-133b regulates the MET proto-oncogene and inhibits the growth of colorectal cancer cells in vitro and in vivo. Cancer biology & therapy10(2), 190-197.

Jiang, G., Wen, L., Zheng, H., Jian, Z., & Deng, W. (2016). miR‐204‐5p targeting SIRT1 regulates hepatocellular carcinoma progression. Cell biochemistry and function34(7), 505-510.

Lian, B., Yang, D., Liu, Y., Shi, G., Li, J., Yan, X., ... & Zhang, R. (2018). miR-128 targets the SIRT1/ROS/DR5 pathway to sensitize colorectal cancer to TRAIL-induced apoptosis. Cellular Physiology and Biochemistry49(6), 2151-2162.

Liu, C., Liu, L., Chen, X., Cheng, J., Zhang, H., Zhang, C., ... & Qian, C. (2018). LSD1 stimulates cancer-Associated fibroblasts to drive Notch3-Dependent self-Renewal of liver cancer stem–like cells. Cancer research78(4), 938-949.

Lou, G., Liu, Y., Wu, S., Xue, J., Yang, F., Fu, H., ... & Chen, Z. (2015). The p53/miR-34a/SIRT1 positive feedback loop in quercetin-induced apoptosis. Cellular Physiology and Biochemistry35(6), 2192-2202.

Luo, J., Chen, P., Xie, W., & Wu, F. (2017). MicroRNA-138 inhibits cell proliferation in hepatocellular carcinoma by targeting Sirt1. Oncology reports38(2), 1067-1074.

Malakar, P., Shilo, A., Mogilevsky, A., Stein, I., Pikarsky, E., Nevo, Y., ... & Karni, R. (2017). Long noncoding RNA MALAT1 promotes hepatocellular carcinoma development by SRSF1 upregulation and mTOR activation. Cancer research77(5), 1155-1167.

Pant, K., Yadav, A. K., Gupta, P., Islam, R., Saraya, A., & Venugopal, S. K. (2017). Butyrate induces ROS-mediated apoptosis by modulating miR-22/SIRT-1 pathway in hepatic cancer cells. Redox Biology12, 340-349.

Rada-Iglesias, A., Enroth, S., Ameur, A., Koch, C. M., Clelland, G. K., Respuela-Alonso, P., ... & Wadelius, C. (2007). Butyrate mediates decrease of histone acetylation centered on transcription start sites and down-regulation of associated genes. Genome research17(6), 708-719.

Rahmani, M., Dai, Y., & Grant, S. (2002). The histone deacetylase inhibitor sodium butyrate interacts synergistically with phorbol myristate acetate (PMA) to induce mitochondrial damage and apoptosis in human myeloid leukemia cells through a tumor necrosis factor-α-mediated process. Experimental cell research277(1), 31-47.

Ryan, J., Tivnan, A., Fay, J., Bryan, K., Meehan, M., Creevey, L., ... & Stallings, R. L. (2012). MicroRNA-204 increases sensitivity of neuroblastoma cells to cisplatin and is associated with a favourable clinical outcome. British journal of cancer107(6), 967-976.

Sacconi, A., Biagioni, F., Canu, V., Mori, F., Di Benedetto, A., Lorenzon, L., ... & Blandino, G. (2012). miR-204 targets Bcl-2 expression and enhances responsiveness of gastric cancer. Cell death & disease3(11), e423-e423.

Shen, Z. L., Wang, B., Jiang, K. W., Ye, C. X., Cheng, C., Yan, Y. C., ... & Wang, S. (2016). Downregulation of miR-199b is associated with distant metastasis in colorectal cancer via activation of SIRT1 and inhibition of CREB/KISS1 signaling. Oncotarget7(23), 35092.

Tailor, D., Hahm, E. R., Kale, R. K., Singh, S. V., & Singh, R. P. (2014). Sodium butyrate induces DRP1-mediated mitochondrial fusion and apoptosis in human colorectal cancer cells. Mitochondrion16, 55-64.

Tian, Z., Jiang, H., Liu, Y., Huang, Y., Xiong, X., Wu, H., & Dai, X. (2016). MicroRNA-133b inhibits hepatocellular carcinoma cell progression by targeting Sirt1. Experimental cell research343(2), 135-147.

Thambyrajah, R., Mazan, M., Patel, R., Moignard, V., Stefanska, M., Marinopoulou, E., ... & Lacaud, G. (2016). GFI1 proteins orchestrate the emergence of haematopoietic stem cells through recruitment of LSD1. Nature cell biology18(1), 21-32.

Tschaharganeh, D. F., Chen, X., Latzko, P., Malz, M., Gaida, M. M., Felix, K., ... & Breuhahn, K. (2013). Yes-associated protein up-regulates Jagged-1 and activates the Notch pathway in human hepatocellular carcinoma. Gastroenterology144(7), 1530-1542.

Wang, R., Sun, Q., Wang, P., Liu, M., Xiong, S., Luo, J., ... & Cheng, B. (2016). Notch and Wnt/β-catenin signaling pathway play important roles in activating liver cancer stem cells. Oncotarget7(5), 5754.

Whyte, W. A., Bilodeau, S., Orlando, D. A., Hoke, H. A., Frampton, G. M., Foster, C. T., ... & Young, R. A. (2012). Enhancer decommissioning by LSD1 during embryonic stem cell differentiation. Nature482(7384), 221-225.

Wu, C. X., Xu, A., Zhang, C. C., Olson, P., Chen, L., Lee, T. K., ... & Wang, X. Q. (2017). Notch inhibitor PF-03084014 inhibits hepatocellular carcinoma growth and metastasis via suppression of cancer stemness due to reduced activation of Notch1–Stat3. Molecular cancer therapeutics16(8), 1531-1543.

Xiao, Z., Li, C. H., Chan, S. L., Xu, F., Feng, L., Wang, Y., ... & Chen, Y. (2014). A small-molecule modulator of the tumor-suppressor miR34a inhibits the growth of hepatocellular carcinoma. Cancer research74(21), 6236-6247.

Lou, G., Liu, Y., Wu, S., Xue, J., Yang, F., Fu, H., ... & Chen, Z. (2015). The p53/miR-34a/SIRT1 positive feedback loop in quercetin-induced apoptosis. Cellular Physiology and Biochemistry35(6), 2192-2202.

Yan, X., Liu, X., Wang, Z., Cheng, Q., Ji, G., Yang, H., ... & Pei, X. (2019). MicroRNA4865p functions as a tumor suppressor of proliferation and cancer stemlike cell properties by targeting Sirt1 in liver cancer. Oncology reports41(3), 1938-1948.

Yang, X., Yang, Y., Gan, R., Zhao, L., Li, W., Zhou, H., ... & Meng, Q. H. (2014). Down-regulation of mir-221 and mir-222 restrain prostate cancer cell proliferation and migration that is partly mediated by activation of SIRT1. PloS one9(6), e98833.

Yuan, P., Cao, W., Zang, Q., Li, G., Guo, X., & Fan, J. (2016). The HIF-2α-MALAT1-miR-216b axis regulates multi-drug resistance of hepatocellular carcinoma cells via modulating autophagy. Biochemical and biophysical research communications478(3), 1067-1073.

Zhang, H., Feng, Z., Huang, R., Xia, Z., Xiang, G., & Zhang, J. (2014). MicroRNA-449 suppresses proliferation of hepatoma cell lines through blockade lipid metabolic pathway related to SIRT1. International journal of oncology45(5), 2143-2152.

Zhang, J., Yang, Y., Yang, T., Liu, Y., Li, A., Fu, S., ... & Zhou, W. (2010). microRNA-22, downregulated in hepatocellular carcinoma and correlated with prognosis, suppresses cell proliferation and tumourigenicity. British journal of cancer103(8), 1215-1220.

Zhang, S., Zhang, D., Yi, C., Wang, Y., Wang, H., & Wang, J. (2016). MicroRNA-22 functions as a tumor suppressor by targeting SIRT1 in renal cell carcinoma. Oncology reports35(1), 559-567.

Zhang, Y., Dai, J., Deng, H., Wan, H., Liu, M., Wang, J., ... & Tang, H. (2015). miR-1228 promotes the proliferation and metastasis of hepatoma cells through a p53 forward feedback loop. British journal of cancer112(2), 365-374.

Zhou, J., Zhou, W., Kong, F., Xiao, X., Kuang, H., & Zhu, Y. (2017). microRNA34a overexpression inhibits cell migration and invasion via regulating SIRT1 in hepatocellular carcinoma Corrigendum in/10.3892/ol. 2019.11048. Oncology letters14(6), 6950-6954.