S100A9 regulates cisplatin chemosensitivity of squamous cervical cancer cells and related mechanism

Zhao, Changjiu; Lu, Ermei; Hu, Xiaoli; Cheng, Hui; Zhang, Jianan; Zhu, Xueqiong

doi:10.2147/cmar.s168276

Cited by 18 publications

(15 citation statements)

References 46 publications

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“…mir-374a serves an important physiological role in drug resistance and proliferation of cancer cells; li et al (21) discovered that mir-374a is a ddP-resistant regulator in human ovarian cancer cells and the expression levels of miR-374a in ddP-resistant ovarian cancer cells were higher than those in non-DDP-resistant ovarian cancer cells (19). FOXO1, a vital transcription factor that mainly participates in cell proliferation, is closely associated with drug resistance of cancer cells (37). in the present study, knockdown of mir-374a using a mir-374a inhibitor inhibited the growth of ovarian cancer cells and promoted cell cycle arrest at the G0/G1 phase.…”

Section: Discussionmentioning

confidence: 99%

Propofol inhibits proliferation and cisplatin resistance in ovarian cancer cells through regulating the microRNA‑374a/forkhead box O1 signaling axis

Sun

Peng

et al. 2020

Mol Med Report

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ovarian cancer is a prominent disease that demonstrates high incidence rates in women and often presents multidrug resistance. Propofol has been demonstrated to suppress the malignancy of various types of human cancer; however, the underlying molecular mechanisms of propofol in ovarian cancer remain largely unknown. The present study aimed to investigate whether and how propofol inhibits proliferation and cisplatin (ddP) resistance in ovarian cancer cells. ovarian cancer cell viability was assessed by the cell counting kit-8 assay; apoptosis and cell cycle progression were determined by flow cytometry; the relative expression levels of microRNA (miR)-374a and forkhead box O1 (FOXO1) were analyzed using reverse transcription-quantitative Pcr; the binding ability of miR-374a to FOXO1 was assessed by the dual-luciferase reporter assay; cellular sensitivity to ddP was detected using the MTT assay; and finally, the protein expression levels of FOXO1, p27, and Bcl-2-like-protein 11 (Bim) were analyzed by western blotting. Propofol reduced viability, promoted apoptosis and decreased mir-374a expression levels in A2780 cells. In addition, the viability of a2780/ddP cells in the propofol + ddP treatment group was significantly inhibited, and the apoptotic rate was increased. In addition, miR-374a overexpression increased cell viability and the proportion of cells in the S phase, and decreased the proportion of cells in the G0/G1 phase. conversely, genetic knockdown of miR-374a exerted the opposite effects on cell viability and cell cycle progression. Moreover, mir-374a was demonstrated to bind to FOXO1. Propofol promoted the expression of FOXO1, p27 and Bim, induced cell cycle arrest and decreased ovarian cancer cell viability. in addition, treatment with propofol and DDP regulated FOXO1 and increased apoptosis of ovarian cancer cells. in conclusion, propofol downregulated mir-374a and modulated the FOXO1 pathway to reduce proliferation and DDP resistance in ovarian cancer cells.

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Section: Discussionmentioning

confidence: 99%

Propofol inhibits proliferation and cisplatin resistance in ovarian cancer cells through regulating the microRNA‑374a/forkhead box O1 signaling axis

Sun

Peng

et al. 2020

Mol Med Report

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“…Glutathione-S-transferaseπ (GST-π) is significantly increased in patients with NSCLC. The increase of GST-π indicates that the tumor is insensitive to radiotherapy and chemotherapy and has a poor prognosis (Zhao et al, 2018). Similarly, p53 gene is mutated in about 60% of patients with NSCLC, and its mutation often occurs in the early stage of tumor occurrence, so if specimens can be obtained in time, it will be helpful for early diagnosis (Wu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Identification of Key Genes in Lung Adenocarcinoma and Establishment of Prognostic Mode

Xing

Zhang

et al. 2020

Front. Mol. Biosci.

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Background: The development of human tumors is associated with the abnormal expression of various functional genes, and a massive tumor-based database needs to be deeply mined. Based on a multigene prediction model, access to urgent prognosis of patients has become possible. Materials and Methods: We selected three RNA expression profiles (GSE32863, GSE10072, and GSE43458) from the lung adenocarcinoma (LUAD) database of the Gene Expression Omnibus (GEO) and analyzed the differentially expressed genes (DEGs) between tumor and normal tissue using GEO2R program. After that, we analyzed the transcriptome data of 479 LUAD samples (54 normal tissue samples and 425 cancer tissue samples) and their clinical follow-up data from the (TCGA) database. Kaplan-Meier (KM) curve and receiver operating characteristic (ROC) were used to assess the prediction model. Multivariate Cox analysis was used to identify independent predictors. TCGA pancreatic adenocarcinoma datasets were used to establish a nomogram model. Results: We found 98 significantly prognosis-related genes using KM and COX analysis, among which six genes were found to be the DEGs in GEO. Using multivariate analysis, it was found that a single gene could not be used as an independent predictor of prognosis. However, the risk score calculated by weighting these six genes could serve as an independent prognosis predictor. COX analysis performed with multiple covariates such as age, gender, tumor stage, and TNM typing showed that risk score could still be utilized as an independent risk factor for patient survival rate (p = 0.013) and had an applicable reliability (area under the curve, AUC = 0.665). By combining risk score and various clinical features, the nomogram model was constructed, which had been proven to have high consistency for the prediction of 3-and 5-year survival rate (concordance = 0.751) and high accuracy as tested by ROC (AUC = 0.71;AUC = 0.708). Conclusion: We proposed a method to predict the prognosis of LUAD by weighting multiple genes and constructed a nomogram model suitable for the prognostic evaluation of LUAD, which could provide a new tool for the identification of therapeutic targets and the efficacy evaluation of LUAD.

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“…Protease-activated receptors (PARs) are a group of transmembrane G-coupled receptors which are activated by cleavage in the extracellular domain. A link between proteolytic activity and the development of CC has been reported [34]. Sá nchez-Herná ndez, et al proved that the expression level PAR2 is significantly increased in CC cell lines and 16 patients specimens [35].…”

Section: Egfr and Tf-par2 Signaling Pathwaysmentioning

confidence: 93%

“…S100 calcium-binding protein A9 (S100A9) has been determined to be upregulated in diverse cancers and plays an important role in resistance to chemotherapy. The overexpression of S100A9 boosts the phosphorylation and inhibition of FOXO1 through PI3K/AKT and MEK/ERK signaling pathways and leads to poor response to cisplatin-treatment in SiHa cells [34]. FOXO1 directly regulates the apoptotic genes including OCT4, SOX2, and NANOG.…”

Section: Notch Signaling Pathwaymentioning

confidence: 99%

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Signaling Pathways in Cervical Cancer Chemoresistance: Are microRNAs and Long-Noncoding RNAs the Main Culprits?

Mousavi¹,

Hemmat²,

Baghi³

et al. 2020

Preprint

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Cervical cancer is known as one of the most important cancers in women worldwide. Chemotherapy is a standard treatment for advanced/recurrent cervical cancer in which the prognosis of the disease is really poor and the 1-year survival chance in these patients is maximally 20%. However, resistance to anticancer drugs is a major problem in treating cancer. Cervical cancer stem cells are considered as a fundamental cause of chemo and radio-resistance and also relapse after primary successful treatment. Signaling pathways include a wide range of molecular mechanisms contribute to drug resistance. Recently, microRNAs (miRNAs) are announced as a group of molecular biomarkers involving in response to chemotherapy in cancer patients. As the miRNAs, there are some long non-coding RNAs (LncRNAs) which their aberrant expression is considered as a biomarker for monitoring chemoresistance. In this review, we summarized current reports about the involvement of signaling pathways during chemoresistance in cervical cancer. Then, genes that have been demonstrated their involvement during drug resistance in cervical cancer were tabulated. Further, miRNAs that have been reported as biomarkers during treatment are listed. By bioinformatic analysis, we predictedmiR-335-5p and miR-16-5p as the most potential biomarkers for monitoring resistance to chemotherapy. Finally, long non-coding RNAs that have been introduced in recent studies as novel biomarkers during the response to chemotherapy were mentioned.

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S100A9 regulates cisplatin chemosensitivity of squamous cervical cancer cells and related mechanism

Cited by 18 publications

References 46 publications

Propofol inhibits proliferation and cisplatin resistance in ovarian cancer cells through regulating the microRNA‑374a/forkhead box O1 signaling axis

Propofol inhibits proliferation and cisplatin resistance in ovarian cancer cells through regulating the microRNA‑374a/forkhead box O1 signaling axis

Identification of Key Genes in Lung Adenocarcinoma and Establishment of Prognostic Mode

Signaling Pathways in Cervical Cancer Chemoresistance: Are microRNAs and Long-Noncoding RNAs the Main Culprits?

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