Retracted Article: SNHG3 promotes proliferation and invasion by regulating the miR-101/ZEB1 axis in breast cancer

Effective hybrid feature selection using different bootstrap enhances cancers classification performance

BACKGROUND

Machine learning can be used to predict the different onset of human cancers. Highly dimensional data have enormous, complicated problems. One of these is an excessive number of genes plus over-fitting, fitting time, and classification accuracy. Recursive Feature Elimination (RFE) is a wrapper method for selecting the best subset of features that cause the best accuracy. Despite the high performance of RFE, time computation and over-fitting are two disadvantages of this algorithm. Random forest for selection (RFS) proves its effectiveness in selecting the effective features and improving the over-fitting problem.

METHOD

This paper proposed a method, namely, positions first bootstrap step (PFBS) random forest selection recursive feature elimination (RFS-RFE) and its abbreviation is PFBS- RFS-RFE to enhance cancer classification performance. It used a bootstrap with many positions included in the outer first bootstrap step (OFBS), inner first bootstrap step (IFBS), and outer/ inner first bootstrap step (O/IFBS). In the first position, OFBS is applied as a resampling method (bootstrap) with replacement before selection step. The RFS is applied with bootstrap = false i.e., the whole datasets are used to build each tree. The importance features are hybrid with RFE to select the most relevant subset of features. In the second position, IFBS is applied as a resampling method (bootstrap) with replacement during applied RFS. The importance features are hybrid with RFE. In the third position, O/IFBS is applied as a hybrid of first and second positions. RFE used logistic regression (LR) as an estimator. The proposed methods are incorporated with four classifiers to solve the feature selection problems and modify the performance of RFE, in which five datasets with different size are used to assess the performance of the PFBS-RFS-RFE.

RESULTS

The results showed that the O/IFBS-RFS-RFE achieved the best performance compared with previous work and enhanced the accuracy, variance and ROC area for RNA gene and dermatology erythemato-squamous diseases datasets to become 99.994%, 0.0000004, 1.000 and 100.000%, 0.0 and 1.000, respectively.

CONCLUSION

High dimensional datasets and RFE algorithm face many troubles in cancers classification performance. PFBS-RFS-RFE is proposed to fix these troubles with different positions. The importance features which extracted from RFS are used with RFE to obtain the effective features.

Small nucleolar RNA and its potential role in breast cancer - A comprehensive review

Small Nucleolar RNAs (snoRNAs) are known for their canonical functions, including ribosome biogenesis and RNA modification. snoRNAs act as endogenous sponges that regulate miRNA expression. Thus, precise snoRNA expression is critical for fine-tuning miRNA expression. snoRNAs processed into miRNA-like sequences play a crucial role in regulating the expression of protein-coding genes similar to that of miRNAs. Recent studies have linked snoRNA deregulation to breast cancer (BC). Inappropriate snoRNA expression contributes to BC pathology by facilitating breast cells to acquire cancer hallmarks. Since snoRNAs show significant differential expression in normal and cancer conditions, measuring snoRNA levels could be useful for BC prognosis and diagnosis. The present article provides a comprehensive overview of the role of snoRNAs in breast cancer pathology. More specifically, we have discussed the regulation, biological function, signaling pathways, and clinical utility of abnormally expressed snoRNAs in BC. Besides, we have also discussed the role of snoRNA host genes in breast tumorigenesis and emerging and future research directions in the field of snoRNA and cancer.

Long non-coding RNA SNHG3 promotes breast cancer cell proliferation and metastasis by binding to microRNA-154-3p and activating the notch signaling pathway

BACKGROUND

Breast cancer (BC) is a malignant tumor that occurs in the epithelial tissue of the breast gland. Long non-coding RNA (lncRNA) small nucleolar RNA host gene 3 (SNHG3) has been found to promote BC cell proliferation and invasion by regulating the microRNA (miR)-101/zinc-finger enhancer binding axis in BC. Herein, the objective of the present study is to evaluate the effect of lncRNA SNHG3 on BC cell proliferation and metastasis with the Notch signaling pathway.

METHODS

Differentially expressed lncRNA in BC tissues and normal breast tissues was analyzed. SNHG3 si-RNA-1 and SNHG3 si-RNA-2 were constructed to detect the mechanism of SNHG3 interference in BC cell proliferation, viability, migration and invasion. Then, dual-luciferase reporter gene assay was utilized to verify the binding relation between SNHG3 and miR-154-3p as well as miR-154-3p and Notch2. Moreover, xenograft transplantation was applied to confirm the in vitro experiments.

RESULTS

Highly expressed SNHG3 was observed in BC tissues. The growth of BC cells in vivo and in vitro was evidently repressed after silencing SNHG3. BC cell invasion and migration were inhibited by silencing SNHG3 in vitro. SNHG3 could act as a competing endogenous RNA of miR-154-3p and upregulate the Notch signaling pathway to promote BC cell development. Activation of the Notch signaling pathway can partly reverse the inhibition of cell activity induced by silencing SNHG3.

CONCLUSION

Our study demonstrated that interfered lncRNA SNHG3 promoted BC cell proliferation and metastasis by activating the Notch signaling pathway. This investigation may offer new insight for BC treatment.

SNHG3 Functions as miRNA Sponge to Promote Breast Cancer Cells Growth Through the Metabolic Reprogramming

Cancer-associated fibroblasts (CAFs) are important ingredient in tumor microenvironment. The dynamic interplay between CAFs and cancer cells plays essential roles during tumor development and progression. However, the mechanisms of intercellular communication between CAFs and cancer cells remain largely unknown. We characterized exosomes secreted from breast cancer patient-derived CAFs by transmission electron microscopy. The expression of SNHG3, miR-330-5p, and PKM (Pyruvate Kinase M1/M2) was examined by real-time QPCR and immunoblot. The function of SNHG3 on the growth and metabolism of tumor cells was used by CCK8 and mitochondrial oxygen consumption assays. The binding between SNHG3, miR-330-5p, and PKM was examined by dual luciferase reporter assays. Orthotopical xenograft of breast tumor experiments was performed to determine the function of SNHG3 in vivo. We demonstrated that exosomes secreted from CAFs reprogram the metabolic pathways after tumor cells uptake the exosomes. CAF-secreted exosomal lncRNA SNHG3 served as a molecular sponge for miR-330-5p in breast cancer cells. Moreover, PKM could be targeted by miR-330-5p and was controlled by SNHG3 in breast cancer cells. Mechanistically, SNHG3 knockdown in CAF-secreted exosomes suppressed glycolysis metabolism and cell proliferation by the increase of miR-330-5p and decrease of PKM expression in tumor cells. SNHG3 functions as a miR-330-5p sponge to positively regulate PKM expression, inhibit mitochondrial oxidative phosphorylation, increase glycolysis carboxylation, and enhance breast tumor cell proliferation. Overall, SNHG3 could play a major role in the development and progression of breast cancer and support the therapeutic potential of targeting communication between cancer cells and tumor microenvironment.

Assessment of the expression pattern of mTOR-associated lncRNAs and their genomic variants in the patients with breast cancer

The mechanistic target of rapamycin (mTOR) is a fundamental component of a signaling pathway that is involved in the pathogenesis of breast cancer via different mechanisms. This pathway is functionally linked with a number of small nucleolar RNA host genes (SNHGs). In the present project, we have searched for the expression quantitative trait loci (eQTLs) within SNHGs that are possibly involved in the pathogenesis of breast cancer. Following this in silico step, we have assessed expression levels of mTOR and four SNHGs in malignant and nonmalignant samples obtained from 80 patients with breast cancer. We also genotyped rs4615861 of SNHG3 and rs3087978 of SNHG5 in the peripheral blood of patients. SNHG12 expression was not detected in any of the assessed malignant or nonmalignant tissues. So this gene was excluded from further steps. Expression of mTOR and other three long noncoding RNAs (lncRNAs) were significantly increased in the malignant tissues compared with the nonmalignant tissues. When classifying patients into down-/upregulation categorized based on the transcript levels of each gene in malignant tissue versus nonmalignant tissues, we noticed associations between expression of SNHG1 and stage (p = 0.03), expression of SNHG5 and grade (p = 0.05), as well as between expression of SNHG3 and history of oral contraceptive use (p = 0.04). We also detected higher levels of SNHG3 expression in estrogen receptor/progesterone receptor (ER/PR) negative tumors compared with the ER/PR positive tumors (p  = 0.003 and p = 0.01, respectively). Moreover, there was a trend toward higher expression of this lncRNA in HER2-positive tumors compared with the HER2-negative ones (p = 0.07). Combination of transcript levels of all genes could differentiate malignant tissues from nonmalignant tissues with the diagnostic power of 69% (p = 0.0001). The rs3087978 was associated with the expression of mTOR in malignant tissues in a way that TT and TG genotypes were associated with the higher and lower levels of expressions, respectively (p = 0.01). The current study underscores the significance of SNHGs in the pathogenesis of breast cancer.

Knockdown of lncRNA HOXD-AS1 suppresses proliferation, migration and invasion and enhances cisplatin sensitivity of glioma cells by sponging miR-204

Increasing evidence suggests the involvement of long noncoding RNAs (lncRNAs) in various biological process including cancer progression and drug resistance. LncRNA HOXD cluster antisense RNA 1 (HOXD-AS1) had been demonstrated to act as an oncogenic gene, contributing to the development and progression of several cancers. However, its functional role and molecular mechanism underlying glioma progression and cisplatin (DDP) resistance has not been well elucidated. In this study, we found that HOXD-AS1 was up-regulated in glioma tissues and cells and negatively correlated with survival time. HOXD-AS1 knockdown suppressed proliferation, migration and invasion as well as enhanced DDP sensitivity of glioma cells. Moreover, HOXD-AS1 could function as a miR-204 sponge in glioma cells. Overexpression of miR-204 could mimic the functional role of down-regulated HOXD-AS1 in glioma cells. Furthermore, miR-204 inhibition reversed the effect of HOXD-AS1 knockdown on cancer progression and DDP sensitivity of glioma cells. In conclusion, knockdown of HOXD-AS1 suppressed proliferation, migration and invasion and enhanced DDP sensitivity of glioma cells through sequestering miR-204, providing a promising therapeutic target for glioma patients.