miR‐212 as potential biomarker suppresses the proliferation of gastric cancer via targeting SOX4

Shao, Junfeng; Su, Feng; Zhang, Shupeng; Chen, Hekai; Li, Zhao-Jin; Xing, Guoqiang; Liu, Hongjie; Li, Yong-Yuan

doi:10.1002/jcla.23511

Cited by 16 publications

(14 citation statements)

References 27 publications

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“…Furthermore, the serum levels of miR-212-5p were higher in female healthy controls compared to male healthy controls, indicating that this miRNA expression could be affected by gender. This finding differed from previous observations that miR-212 serum levels were not statistically significantly associated with gender [ 48 ]. Regarding age, we found that the serum level of miR-212-5p was positively correlated with age.…”

Section: Discussioncontrasting

confidence: 99%

Circulating Soluble ACE2 and Upstream microRNA Expressions in Serum of Type 2 Diabetes Mellitus Patients

Elemam

Hasswan

Aljaibeji

et al. 2021

IJMS

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The global coronavirus disease 2019 (COVID-19) pandemic was associated with multiple organ failure and comorbidities, such as type 2 diabetes mellitus (T2DM). Risk factors, such as age, gender, and obesity, were associated with COVID-19 infection. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is known to use several host receptors for viral entry, such as angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2) in the lung and other organs. However, ACE2 could be shed from the surface to be soluble ACE2 (sACE2) in the circulation. The epigenetic factors affecting ACE2 expression include a type of small non-coding RNAs called microRNAs (miRNAs). In this study, we aimed at exploring the status of the sACE2 as well as serum levels of several upstream novel miRNAs as non-invasive biomarkers that might have a potential role in T2DM patients. Serum samples were collected from 50 T2DM patients and 50 healthy controls, and sACE2 levels were quantified using enzyme-linked immunosorbent assay (ELISA). Also, RNA was extracted, and TaqMan miRNA reverse transcription quantitative PCR (RT-qPCR) was performed to measure serum miRNA levels. Our results revealed that sACE2 is decreased in the T2DM patients and is affected by age, gender, and obesity level. Additionally, 4 miRNAs, which are revealed by in silico analysis to be potentially upstream of ACE2 were detectable in the serum. Among them, miR-421 level was found to be decreased in the serum of diabetic patients, regardless of the presence or absence of diabetic complications, as well as being differential in various body mass index (BMI) groups. The other 3 miRNAs (miR-3909, miR-212-5p, and miR-4677-3p) showed associations with multiple factors including age, gender, BMI, and serum markers, in addition to being correlated to each other. In conclusion, our study reveals a decline in the circulating serum levels of sACE2 in T2DM patients and identified 4 novel miRNAs that were associated with T2DM, which are influenced by different clinical and demographic factors.

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Section: Discussioncontrasting

confidence: 99%

Circulating Soluble ACE2 and Upstream microRNA Expressions in Serum of Type 2 Diabetes Mellitus Patients

Elemam

Hasswan

Aljaibeji

et al. 2021

IJMS

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“… 41 Bao et al investigated the diagnostic potential and biological function of miR‐148a‐3p in GC progression in the GC tissues and plasma of patients and found that miR‐148a‐3p was significantly downregulated in both the gastric tissue and plasma of GC patients, suggesting that miR‐148a‐3p may inhibit cancer progression and is a novel diagnostic biomarker for GC. 40 Shao et al 41 analyzed the relationship of serum level of miR‐212 with GC through detecting the serum level of miR‐212 in 100 healthy people and 110 GC patients, and these authors found that miR‐212 was epigenetically downregulated in GC and could directly regulate the 3′UTR of SOX4 mRNA to suppress p53 and Bax, suggesting that low level of miR‐212 can be a potential circulation biomarker and poor prognosis predicator of GC. Novel findings in our study and in other studies 40 , 41 will ultimately accumulate to clarify the mechanism of GC and clear the way for better treatment of this cancer.…”

Section: Discussionmentioning

confidence: 99%

“… 40 Shao et al 41 analyzed the relationship of serum level of miR‐212 with GC through detecting the serum level of miR‐212 in 100 healthy people and 110 GC patients, and these authors found that miR‐212 was epigenetically downregulated in GC and could directly regulate the 3′UTR of SOX4 mRNA to suppress p53 and Bax, suggesting that low level of miR‐212 can be a potential circulation biomarker and poor prognosis predicator of GC. Novel findings in our study and in other studies 40 , 41 will ultimately accumulate to clarify the mechanism of GC and clear the way for better treatment of this cancer.…”

Section: Discussionmentioning

confidence: 99%

miR‐125a‐5p promotes gastric cancer growth and invasion by regulating the Hippo pathway

Wang

et al. 2021

Clinical Laboratory Analysis

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“…Bioinformatic analysis revealed that upregulated expression of MFSD12 is a key promoter of cell proliferation, potential prognostic biomarker, and therapeutic target for melanoma (Wei et al, 2019). SOX4 is a key transcription factor involved in occurrence and development of many cancers (Liu et al, 2018;Wang et al, 2018;Ding et al, 2019) and was shown to be related to the proliferation, migration, and invasion of GA cells and prognosis of GA patients (Fang et al, 2012;Dong et al, 2018;Shao et al, 2020). Therefore, the model has good sensitivity and specificity (AUC = 0.7742), and the risk score calculated by the model can effectively predict the risk of GA patients (p < 0.0001, hazard ratio = 2.845, 95% CI: 2.033-3.981).…”

Section: Discussionmentioning

confidence: 99%

mRBioM: An Algorithm for the Identification of Potential mRNA Biomarkers From Complete Transcriptomic Profiles of Gastric Adenocarcinoma

Dong

Rao

et al. 2021

Front. Genet.

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PurposeIn this work, an algorithm named mRBioM was developed for the identification of potential mRNA biomarkers (PmBs) from complete transcriptomic RNA profiles of gastric adenocarcinoma (GA).MethodsmRBioM initially extracts differentially expressed (DE) RNAs (mRNAs, miRNAs, and lncRNAs). Next, mRBioM calculates the total information amount of each DE mRNA based on the coexpression network, including three types of RNAs and the protein-protein interaction network encoded by DE mRNAs. Finally, PmBs were identified according to the variation trend of total information amount of all DE mRNAs. Four PmB-based classifiers without learning and with learning were designed to discriminate the sample types to confirm the reliability of PmBs identified by mRBioM. PmB-based survival analysis was performed. Finally, three other cancer datasets were used to confirm the generalization ability of mRBioM.ResultsmRBioM identified 55 PmBs (41 upregulated and 14 downregulated) related to GA. The list included thirteen PmBs that have been verified as biomarkers or potential therapeutic targets of gastric cancer, and some PmBs were newly identified. Most PmBs were primarily enriched in the pathways closely related to the occurrence and development of gastric cancer. Cancer-related factors without learning achieved sensitivity, specificity, and accuracy of 0.90, 1, and 0.90, respectively, in the classification of the GA and control samples. Average accuracy, sensitivity, and specificity of the three classifiers with machine learning ranged within 0.94–0.98, 0.94–0.97, and 0.97–1, respectively. The prognostic risk score model constructed by 4 PmBs was able to correctly and significantly (∗∗∗p < 0.001) classify 269 GA patients into the high-risk (n = 134) and low-risk (n = 135) groups. GA equivalent classification performance was achieved using the complete transcriptomic RNA profiles of colon adenocarcinoma, lung adenocarcinoma, and hepatocellular carcinoma using PmBs identified by mRBioM.ConclusionsGA-related PmBs have high specificity and sensitivity and strong prognostic risk prediction. MRBioM has also good generalization. These PmBs may have good application prospects for early diagnosis of GA and may help to elucidate the mechanism governing the occurrence and development of GA. Additionally, mRBioM is expected to be applied for the identification of other cancer-related biomarkers.

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miR‐212 as potential biomarker suppresses the proliferation of gastric cancer via targeting SOX4

Abstract: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Cited by 16 publications

References 27 publications

Circulating Soluble ACE2 and Upstream microRNA Expressions in Serum of Type 2 Diabetes Mellitus Patients

Circulating Soluble ACE2 and Upstream microRNA Expressions in Serum of Type 2 Diabetes Mellitus Patients

miR‐125a‐5p promotes gastric cancer growth and invasion by regulating the Hippo pathway

mRBioM: An Algorithm for the Identification of Potential mRNA Biomarkers From Complete Transcriptomic Profiles of Gastric Adenocarcinoma

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