miR-577 Regulates TGF-β Induced Cancer Progression through a SDPR-Modulated Positive-Feedback Loop with ERK-NF-κB in Gastric Cancer

Luo, Yuhao; Wu, Jianhua; Wu, Qianying; Li, Xiaoyin; Wu, Jiani; Zhang, Jingwen; Rong, Xiaoxiang; Rao, Jingjun; Liao, Yulin; Bin, Jianping; Huang, Na; Liao, Wangjun

doi:10.1016/j.ymthe.2019.02.002

Cited by 44 publications

(57 citation statements)

References 36 publications

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“…Considering the crucial role in tumor metastasis and stemness induction, the NF-κB/miR-577/SDPR feedback loop could be a possible target for gastric cancer treatment [119].…”

Section: Mir-577mentioning

confidence: 99%

microRNA: The Impact on Cancer Stemness and Therapeutic Resistance

Jiao

Qian

et al. 2019

Cells

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Cancer ranks as the second leading cause of death worldwide, causing a large social and economic burden. However, most anti-cancer treatments face the problems of tumor recurrence and metastasis. Therefore, finding an effective cure for cancer needs to be solved urgently. Recently, the discovery of cancer stem cells (CSCs) provides a new orientation for cancer research and therapy. CSCs share main characteristics with stem cells and are able to generate an entire tumor. Besides, CSCs usually escape from current anti-cancer therapies, which is partly responsible for tumor recurrence and poor prognosis. microRNAs (miRNAs) belong to small noncoding RNA and regulate gene post-transcriptional expression. The dysregulation of miRNAs leads to plenty of diseases, including cancer. The aberrant miRNA expression in CSCs enhances stemness maintenance. In this review, we summarize the role of miRNAs on CSCs in the eight most common cancers, hoping to bridge the research of miRNAs and CSCs with clinical applications. We found that miRNAs can act as tumor promoter or suppressor. The dysregulation of miRNAs enhances cell stemness and contributes to tumor metastasis and therapeutic resistance via the formation of feedback loops and constitutive activation of carcinogenic signaling pathways. More importantly, some miRNAs may be potential targets for diagnosis, prognosis, and cancer treatments.

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“…Considering the crucial role in tumor metastasis and stemness induction, the NF-κB/miR-577/SDPR feedback loop could be a possible target for gastric cancer treatment [119].…”

Section: Mir-577mentioning

confidence: 99%

microRNA: The Impact on Cancer Stemness and Therapeutic Resistance

Jiao

Qian

et al. 2019

Cells

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“…Previous researches explored the prognostic and diagnostic signi cance of SDPR in gastric cancer (25), hepatocellular carcinoma (26), papillary thyroid cancer (PTC) (27). Our research originally found downregulation of SDPR in lung cancers as well as in KRAS-mutant subgroup ( Fig.…”

Section: Discussionmentioning

confidence: 93%

“…SDPR (also known as CAVIN2, NC_000002.12, gene ID 8436), a key substrate for protein kinase C, was found to play a critical role in inducing membrane curvature and participate in the formation of CAVeolae (23). Recently, SDPR was reported to be a potential diagnostic indicator in cancers such as hepatocellular carcinoma and gastric cancer (24)(25)(26). However, whether SDPR could be a predictor or target for lung cancer, especially in KRAS-mutant group remians to be clari ed.…”

Section: Introductionmentioning

confidence: 99%

Prognostic Values, ceRNA Network, and Immune Regulation Function of SDPR in KRAS-Mutant Lung Cancer

Luo

Peng

Ding

et al. 2020

Preprint

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Background: SDPR plays an important role in formation of pulmonary alveoli. However, the function and values of Serum Deprivation Protein Response (SDPR) remain unknown in lung cancer. We explored prognostic values, expression pattern and biological function of SDPR in NSCLC and KRAS-mutant lung cancers.Methods: SDPR expression were evaluated by RT-qPCR, IHC, Western blotting based on human NSCLC cells, lung adenocarcinoma tissues array, KRAS-mutant transgenetic mice, TCGA and GEO datasets. The prognosis values of SDPR were evaluated by Kaplan–Meier and Cox regression analysis. The bioinformatics implication of SDPR including SDPR-combinated Transcription factors (TFs) and microRNAs were predicted. In addition, correlations between SDPR, immune checkpoint molecules and tumor infiltration models were illustrated.Results: SDPR expression was downregulated among tumor cells and tissues. Low SDPR expression was an independent factor that correlated with shorter overall survival of patients in both lung cancer and KRAS-mutant subgroup. Meanwhile, ceRNA network to clarify the regulatory and biological functions of SDPR was constructed. Negative correlations were found between SDPR and immune checkpiont moluculars (PD-L1, TNFRSF18, TNFRSF9, and TDO2). Moreover, diversity immune infiltration models were observed in NSCLC with different SDPR expression and copy number variation (CNV) patterns.Conclusions: This study elucidates regulation network of SDPR in KRAS-mutant NSCLC, and illustrates correlations between low SDPR expression and suppressed immune systems, unfolding a prognostic factor and potential target for the treatment of lung cancer, especially for KRAS-mutant NSCLC.

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“…Recently, SDPR was reported to play a vital role in cancer progression and metastasis via epithelial mesenchymal transition (EMT) in gastric and breast cancer (25,34). However, the function of SDPR on lung cancer, especially for KRAS-mutant group, remains unclear.…”

Section: Correlation Between Sdpr Immune Negative Regulatory Moleculmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prognostic Values, ceRNA Network, and Immune Regulation Function of SDPR in KRAS-mutant Lung Cancer

Luo

Peng

Ding

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: SDPR plays an important role in formation of pulmonary alveoli. However, the function and values of SDPR remain unknown in lung cancer. We explored prognostic values, expression pattern and biological function of SDPR in NSCLC and KRAS-mutant lung cancers.Methods: SDPR expression were evaluated by RT-qPCR, IHC, Western blotting based on human NSCLC cells, lung adenocarcinoma tissues array, KRAS-mutant transgenetic mice, TCGA and GEO datasets. The prognosis values of SDPR were evaluated by Kaplan–Meier and Cox regression analysis. The bioinformatics implication of SDPR including SDPR-combinated TFs and microRNAs were predicted. In addition, correlations between SDPR, immune checkpoint molecules and tumor infiltration models were illustrated.Results: SDPR expression was downregulated among tumor cells and tissues. Low SDPR expression was an independent factor that correlated with shorter overall survival of patients in both lung cancer and KRAS-mutant subgroup. Meanwhile, ceRNA network to clarify the regulatory and biological functions of SDPR was constructed. Negative correlations were found between SDPR and immune checkpiont moluculars (PD-L1, TNFRSF18, TNFRSF9, and TDO2). Moreover, diversity immune infiltration models were observed in NSCLC with different SDPR expression and copy number variation (CNV) patterns.Conclusions: This study elucidates regulation network of SDPR in KRAS-mutant NSCLC, and illustrates correlations between low SDPR expression and suppressed immune systems, unfolding a prognostic factor and potential target for the treatment of lung cancer, especially for KRAS-mutant NSCLC.

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miR-577 Regulates TGF-β Induced Cancer Progression through a SDPR-Modulated Positive-Feedback Loop with ERK-NF-κB in Gastric Cancer

Cited by 44 publications

References 36 publications

microRNA: The Impact on Cancer Stemness and Therapeutic Resistance

microRNA: The Impact on Cancer Stemness and Therapeutic Resistance

Prognostic Values, ceRNA Network, and Immune Regulation Function of SDPR in KRAS-Mutant Lung Cancer

Prognostic Values, ceRNA Network, and Immune Regulation Function of SDPR in KRAS-mutant Lung Cancer

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