1.Mechanism of polypyrimidine tract-binding protein 1 on the proliferation and metastasis of gastric cancer cells
Yarui LI ; Mudan REN ; Guifang LU ; Xinlan LU ; Qian ZHAO ; Dan GUO ; Wenhui MA ; Shuixiang HE
Chinese Journal of Digestion 2021;41(2):100-106
Objective:To explore the expression of polypyrimidine tract-binding protein 1 (PTBP1) in gastric cancer (GC) tissues and GC cell lines, and the role of PTBP1 in the proliferation and metastasis of GC cells.Methods:From January to June in 2019 at The First Affiliated Hospital of Xi′an Jiaotong University, the cancer tissues and corresponding para-cancer tissues of GC patients underwent surgical resection were collected. The Kaplan-Meier Plotter database was used to analyze the survival of GC patients. The expression of PTBP1 was down-regulated by transfecting small interfering RNA (siRNA) in human GC cell lines SGC7901 and AGS with relatively high expression of PTBP1. The cells were divided into blank control group, negative control group, and PTBP1 knockdown group. The expression of PTBP1 at mRNA and protein level were detected by real-time fluorescence quantification polymerase chain reaction (RT-qPCR) and Western blotting. At 24, 48, 72 and 96-hour after transfection, the effect of PTBP1 on the proliferation of GC cells was observed by 3-(4, 5 dimethylthiazol)-2, 5 diphenyltetrazolium bromide (MTT) experiment. The changes of invasion and migration of GC cells after down-regulation of PTBP1 were detected by transwell assay. The expression changes of epithelial-mesenchymal transition (EMT) markers E-cadherin, N-cadherin and vimentin after down-regulation of PTBP1 in GC cells were determined by Western blotting. Indenpendent samples t test, analysis of variance and rank sum test were used for statistical analysis. Results:The Kaplan-Meier Plotter prognostic analysis showed that the overall survival of GC patients with high PTBP1 expression was shorter than that of GC patients with low PTBP1 expression (9.2 months, 6.2 months to 17.2 months vs. 19.0 months, 14.5 months to 28.4 months), and the difference was statistically significant ( Z=5.31, P<0.05). The results of RT-qPCR showed that in GC cell lines SGC7901 and AGS, the expression of PTBP1 at mRNA level of PTBP1 knockdown group was lower than that of blank control group and negative control group (SGC7901: 0.78±0.11 vs.3.10±0.19 and 2.99±0.23; AGS: 0.80±0.09 vs. 3.55±0.24 and 3.50±0.18), and the differences were statistically significant ( tSGC7901=10.57 and 8.08, tAGS=10.91 and 13.42; all P<0.01). The results of Western blotting indicated that in GC cell lines SGC7901 and AGS, the expression of PTBP1 at protein level of PTBP1 knockdown group was lower than those of blank control group and negative control group (SGC7901: 0.38±0.04 vs. 1.42±0.05 and 1.35±0.09; AGS: 0.17±0.02 vs. 1.52±0.08 and 1.38±0.45), and the differences were statistically significant ( tSGC7901=15.94 and 10.57, tAGS=16.60 and 20.80; all P<0.01). The results of MTT showed that at 48, 72 and 96-hour after transfection the absorbance values of PTBP1 knockdown group decreased by 0.25±0.01, 0.38±0.02, and 0.84±0.04 as compared with those of negative control group, and the decrease was the most significant at 96-hour after transfection, and the differences were statistically significant ( t=10.21、14.32, both P<0.01). The results of transwell experiment demonstrated that the number of invasion and migration cells of PTBP1 knockdown group were both less than that of the blank control group and the negative control group (SGC7901: 42.00±5.91 vs. 116.40±10.23 and 114.40±10.43; 39.60±6.77 vs. 125.80±11.51 and 122.40±5.90; AGS: 40.20±7.25 vs. 115.60±14.63 and 117.40±9.12; 36.00±5.20 vs. 122.40±12.10 and 125.40±12.74), and the differences were statistically significant ( tSGC7901=14.07, 13.50, 14.43 and 20.62; tAGS=10.27, 14.75, 14.68 and 16.76; all P<0.01). The results of Western blotting showed that the expression of E-cadherin of PTBP1 knockdown group was higher than that of the blank control group and the negative control group (SGC7901: 1.42±0.05 vs. 0.53±0.05 and 0.57±0.03; AGS: 1.34±0.04 vs. 0.54±0.03 and 0.61±0.01), however the expression levels of N-cadherin and vimentin were both lower than those of the blank control group and the negative control group (SGC7901: 0.50±0.03 vs. 1.64±0.05 and 1.46±0.07; 0.32±0.07 vs. 1.42±0.07 and 1.33±0.07; AGS: 0.37±0.06 vs. 1.47±0.04 and 1.36±0.04; 0.41±0.04 vs. 1.53±0.06 and 1.37±0.04), and the differences were statistically significant ( tSGC7901=11.63, 13.19, 18.83, 11.68, 11.43 and 10.43; tAGS= 15.02, 16.23, 14.67, 12.97, 14.45 and 17.18; all P<0.01). Conclusions:The expression levels of PTBP1 increase in GC tissues and cells, which may be involved in regulating the proliferation, metastasis and EMT of GC cells.
2.Study on the efficacy of beat chemotherapy in treating non-small cell lung cancer
Xue WANG ; Yarui MA ; Qi ZHANG ; Jiayi GAO ; Yue YUAN ; Liuer HE ; Lin LI
Chinese Journal of Geriatrics 2024;43(3):342-347
Objective:To assess the effectiveness and safety of beat chemotherapy in treating non-small cell lung cancer, and to investigate its anti-tumor molecular mechanism.Methods:In this study, we developed a subcutaneous tumor model of lung cancer in mice.The mice were subsequently divided into two groups: the beat chemotherapy group and the placebo group(negative control group).Throughout the treatment period, we monitored the changes in body weight and tumor size of the mice.At the conclusion of the treatment, we collected blood samples from the mice to conduct blood routine and biochemical examinations.Furthermore, we obtained tumor tissues from the mice to perform immunohistochemical staining and sequencing of the transcriptome.Results:The study found that beat chemotherapy could effectively delay the growth of lung cancer.The tumor tissues in the beat chemotherapy group were significantly smaller compared to the placebo group.The results of routine blood and blood biochemistry tests showed that the levels of red blood cells(RBCs), white blood cells(WBCs), alanine aminotransferase(ALT), aspartate aminotransferase(AST)and blood creatinine(Scr)were similar between the placebo group and the beat chemotherapy group.The values for RBCs, WBCs, ALT, AST and Scr in the placebo group were(6.97 ± 0.41)× 10 12/L, (13.26 ± 0.29)× 10 9/L, (33.33 ± 2.51)U/L, (235.33 ± 57.62)U/L and(20.67 ± 2.08)μmol/L, respectively.The corresponding values in the beat chemotherapy group were(6.87 ± 0.66)× 10 12/L, (12.59 ± 2.27)× 10 9/L, (38.67 ± 3.79)U/L, (225.33 ± 6.81)U/L and(20.33 ± 3.79)μmol/L.Statistical analysis showed no significant differences between the two groups( t=0.509, 0.209, 2.032, 0.299, 0.134, P=0.638, 0.845, 0.112, 0.780, 0.900).Furthermore, there were no signs of inflammatory infiltration or pathological changes in the liver, kidney, spleen, and lung tissues of the mice.Transcriptome analysis identified 68 differentially expressed genes, which were mainly associated with signal transduction and immunity.Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis revealed the involvement of several signaling pathways, including the transforming growth factor β(TGF-β)signaling pathway, the interleukin-17(IL-17)signaling pathway, and the tumor necrosis factor(TNF)signaling pathway. Conclusions:The use of chemotherapy has been proven to be safe and effective in treating non-small cell lung cancer.It primarily functions by regulating tumor growth through various signaling pathways, including the TGF-β signaling pathway, IL-17 signaling pathway, and TNF.
3.Minimal residual disease in solid tumors: an overview.
Yarui MA ; Jingbo GAN ; Yinlei BAI ; Dandan CAO ; Yuchen JIAO
Frontiers of Medicine 2023;17(4):649-674
Minimal residual disease (MRD) is termed as the small numbers of remnant tumor cells in a subset of patients with tumors. Liquid biopsy is increasingly used for the detection of MRD, illustrating the potential of MRD detection to provide more accurate management for cancer patients. As new techniques and algorithms have enhanced the performance of MRD detection, the approach is becoming more widely and routinely used to predict the prognosis and monitor the relapse of cancer patients. In fact, MRD detection has been shown to achieve better performance than imaging methods. On this basis, rigorous investigation of MRD detection as an integral method for guiding clinical treatment has made important advances. This review summarizes the development of MRD biomarkers, techniques, and strategies for the detection of cancer, and emphasizes the application of MRD detection in solid tumors, particularly for the guidance of clinical treatment.
4.Two-sample bidirectional Mendelian randomization for analyzing the causal effect between gastroesophageal reflux disease and migraine headaches
Jiaxin MA ; Yuanzhi ZHOU ; Wenwen CHEN ; Yahan ZHAO ; Xu ZHANG ; Yarui LI ; Shuixiang HE ; Yan ZHAO
Journal of Xi'an Jiaotong University(Medical Sciences) 2024;45(2):262-270
【Objective】 To explore the causal association between the onset of gastroesophageal reflux disease (GERD) and migraine and to provide genetic evidence, a two-sample bidirectional Mendelian randomization (MR) method was used in this study. 【Methods】 Single nucleotide polymorphism (SNP) information for both samples was obtained from publicly available genome-wide association study (GWAS) databases, in which the appropriate SNPs were selected as instrumental variables, and then bidirectional MR analysis used five MR analysis methods including inverse variance weighting (IVW), MR-Egger regression, weighted median, weighted mode and simple mode methods, followed by sensitivity analysis. 【Results】 IVW showed positive results of forward MR analysis with GERD as exposure [OR=1.398 7, 95%CI (1.181 7-1.655 6), P=9.59×10-5] , while no positive significance of reverse MR analysis results with migraine as exposure (P>0.05). The same results were obtained in methods other than MR-Egger method. Meanwhile, none of the instrumental variables were found to be horizontally polytomous (P=0.92, P=0.64), and the results were robust after the leave-one-out method to exclude single SNPs. 【Conclusion】 There may be a unidirectional causal association between GERD and migraine, and GERD is a risk factor for migraine development.
5.GDF15 negatively regulates chemosensitivity via TGFBR2-AKT pathway-dependent metabolism in esophageal squamous cell carcinoma.
Yingxi DU ; Yarui MA ; Qing ZHU ; Yong FU ; Yutong LI ; Ying ZHANG ; Mo LI ; Feiyue FENG ; Peng YUAN ; Xiaobing WANG
Frontiers of Medicine 2023;17(1):119-131
Treating patients with esophageal squamous cell carcinoma (ESCC) is challenging due to the high chemoresistance. Growth differentiation factor 15 (GDF15) is crucial in the development of various types of tumors and negatively related to the prognosis of ESCC patients according to our previous research. In this study, the link between GDF15 and chemotherapy resistance in ESCC was further explored. The relationship between GDF15 and the chemotherapy response was investigated through in vitro and in vivo studies. ESCC patients with high levels of GDF15 expression showed an inferior chemotherapeutic response. GDF15 improved the tolerance of ESCC cell lines to low-dose cisplatin by regulating AKT phosphorylation via TGFBR2. Through an in vivo study, we further validated that the anti-GDF15 antibody improved the tumor inhibition effect of cisplatin. Metabolomics showed that GDF15 could alter cellular metabolism and enhance the expression of UGT1A. AKT and TGFBR2 inhibition resulted in the reversal of the GDF15-induced expression of UGT1A, indicating that TGFBR2-AKT pathway-dependent metabolic pathways were involved in the resistance of ESCC cells to cisplatin. The present investigation suggests that a high level of GDF15 expression leads to ESCC chemoresistance and that GDF15 can be targeted during chemotherapy, resulting in beneficial therapeutic outcomes.
Humans
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Esophageal Squamous Cell Carcinoma/drug therapy*
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Cisplatin/metabolism*
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Esophageal Neoplasms/metabolism*
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Proto-Oncogene Proteins c-akt/metabolism*
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Carcinoma, Squamous Cell/genetics*
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Growth Differentiation Factor 15/therapeutic use*
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Receptor, Transforming Growth Factor-beta Type II/therapeutic use*
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Cell Line, Tumor
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Cell Proliferation
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Gene Expression Regulation, Neoplastic