Downregulated Expression of linc-ROR in Gastric Cancer and Its Potential Diagnostic and Prognosis Value

Background. Gastric cancer (GC) is one of the global mortality diseases and has a poor prognosis due to the lack of ideal tumor biomarkers. Numerous studies have shown that long noncoding RNAs (lncRNAs) can affect the occurrence and development of cancer through a variety of signaling pathways. The abnormal expression and specificity of lncRNAs in tumors make them potential biomarkers of cancers. Nevertheless, the diagnostic roles of lncRNAs in GC have been poorly understood. So this study focuses on the clinical diagnostic value of lncRNAs in GC. Materials and Methods. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to investigate the expression of the linc-ROR (long intergenic noncoding RNA, regulator of reprogramming) in 105 paired GC tissues and adjacent normal tissues. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were established to assess the diagnostic value of linc-ROR. The relationship between expression of linc-ROR and clinicopathological factors of patients with GC was further explored. Kaplan-Meier analysis was performed to evaluate the prognostic value of linc-ROR expression. Results. The linc-ROR expression level was significantly decreased in GC tissues compared with its adjacent nontumor tissues ( n = 105 , P < 0.001 ). We also discovered that linc-ROR was evidently downregulated in 68.6% (72/105) of GC tissues. The AUC’s value of linc-ROR was up to 0.6495, with sensitivity and specificity of 0.7524 and 0.5143, respectively. Intriguingly, the linc-ROR expression levels were obviously associated with tumor differentiation ( P = 0.004 ). Notably, the overall survival rate of GC patients with high expression of linc-ROR was significantly higher than those with low expression. Conclusion. Our data revealed that linc-ROR has clinical potential as a biomarker for the diagnosis of GC and assessment of its prognosis.

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Downregulated Expression of hsa_circ_0005556 in Gastric Cancer and Its Clinical Significance

Disease Markers ◽

10.1155/2019/2624586 ◽

2019 ◽

Vol 2019 ◽

pp. 1-7 ◽

Cited By ~ 2

Author(s):

Liangwei Yang ◽

Yu Yu ◽

Xiuchong Yu ◽

Jiaming Zhou ◽

Zhiping Zhang ◽

...

Keyword(s):

Gastric Cancer ◽

Roc Curve ◽

Noncoding Rna ◽

Operating Characteristic ◽

Diagnostic Value ◽

Circular Rnas ◽

Normal Tissues ◽

Potential Biomarker ◽

Polymerase Chain

Background. Gastric cancer (GC) has a poor prognosis due to the lack of ideal tumor markers. Circular RNAs (circRNAs) are a novel type of noncoding RNA related to the occurrence of GC. Among our research, we investigated the role of hsa_circ_0005556 in GC. Materials and Methods. The expression of hsa_circ_0005556 of 100 paired GC tissues and adjacent normal tissues was detected using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). A receiver operating characteristic (ROC) curve was established to evaluate the diagnostic value of hsa_circ_0005556. The correlation between the expression of hsa_circ_0005556 and corresponding clinicopathological characteristic was explored. Results. hsa_circ_0005556 was significantly downregulated in GC tissues contrasted with adjacent normal tissues (n=100, p<0.001). The areas under the ROC curve (AUC) of hsa_circ_0005556 were up to 0.773, while 64% sensitivity and 82% specificity, respectively. Moreover, its expression levels were significantly associated with differentiation (p=0.001), TNM stage (p=0.013), and lymphatic metastasis (p=0.039). GC patients of high hsa_circ_0005556 levels had a longer overall survival (OS) than those of the low group (p=0.047). Conclusion. hsa_circ_0005556 is a potential biomarker for GC, which may guide judgment of the indication of endoscopic treatment for early gastric cancer (EGC).

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High-Expression HBO1 Predicts Poor Prognosis in Gastric Cancer

American Journal of Clinical Pathology ◽

10.1093/ajcp/aqz065 ◽

2019 ◽

Vol 152 (4) ◽

pp. 517-526 ◽

Cited By ~ 2

Author(s):

Yan Wang ◽

Sufang Chen ◽

Wei Tian ◽

Qing Zhang ◽

Chunyi Jiang ◽

...

Keyword(s):

Gastric Cancer ◽

Messenger Rna ◽

Origin Recognition Complex ◽

Tnm Staging ◽

Normal Tissues ◽

Kaplan Meier ◽

Serum Carcinoembryonic Antigen ◽

Polymerase Chain ◽

Cancer Tissues ◽

Kaplan Meier Plotter

Abstract Objectives Our goal was to assess the expression of histone acetyltransferase binding to origin recognition complex 1 (HBO1) in gastric cancer and the effect on prognosis for the patients. Methods We used quantitative reverse transcription polymerase chain reaction, Western blot, and tissue microarray immunohistochemistry to investigate the expressions of HBO1 messenger RNA (mRNA) and protein in gastric cancer tissues. Online resources, including Oncomine and Kaplan-Meier Plotter, were used to further assess the correlation between HBO1 expression and the prognosis of the patients with gastric cancer. Results HBO1 mRNA and protein expressions in gastric cancer tissues were both significantly higher than those in normal tissues. The correlations between high HBO1 expression and differentiation, invasive depth (T), lymph node metastasis (N), distant metastasis (M), TNM staging, and serum carcinoembryonic antigen levels were positive. High HBO1 expression was negatively correlated with survival time in patients with gastric cancer. Conclusions HBO1 might be a valuable biomarker to evaluate the prognosis of patients with gastric cancer.

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Serum MALAT1 Assumes Signifying Capacity in Gastric Cancer Diagnosis.

10.21203/rs.3.rs-76087/v1 ◽

2020 ◽

Author(s):

Keqian Zhang ◽

Tianqi Mao ◽

Zhicheng He ◽

Xiaojiao Wu ◽

Yu Peng ◽

...

Keyword(s):

Gastric Cancer ◽

Roc Analysis ◽

Operating Characteristic ◽

Area Under The Curve ◽

Diagnostic Value ◽

Chain Reaction ◽

Serum Samples ◽

Chi Square ◽

Chi Square Test ◽

Polymerase Chain

Abstract Background: Gastric cancer (GC) represents one of the most serious cancers worldwide with the increasing mortality. Metastasis associated lung adenocarcinoma transcript 1 (MALAT1), a kind of lncRNAs, has been reported to be involved in the progression of cancers. This study aimed to assess serum expression pattern of MALAT1 and its clinical significance in diagnosis of GC.Methods: Serum specimens were collected from 120 GC patients and 58 healthy individuals. The expression profile of MALAT1 was examined using quantitative real-time polymerase chain reaction (qRT-PCR), and its association with clinical parameters was estimated by chi-square test. The diagnostic value of MALAT1 in GC was evaluated by the receiver operating characteristic (ROC) analysis.Results: Upregulated expression of MALTA1 was found in GC patients compared with the healthy controls (P<0.05). The overexpression of MALAT1 was positively correlated with lymph node metastasis (P=0.041) and TNM stage (P=0.005). An area under the curve (AUC) was 0.897 in ROC analysis, suggesting the high diagnostic value of MALAT1. Conclusion: The expression of MALAT1 was upregulated in GC serum samples, and its expression might serve as a potential diagnostic biomarker in patients with GC.

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Diagnostic Biomarker KIF23 is Associated With Immune Infiltration in Gastric Cancer

10.21203/rs.3.rs-778412/v1 ◽

2021 ◽

Author(s):

Maoshu Bai ◽

Xin Liu

Keyword(s):

Gastric Cancer ◽

Area Under The Curve ◽

Enrichment Analysis ◽

Progression Free Survival ◽

Roc Curves ◽

Diagnostic Value ◽

Expression Level ◽

Diagnostic Biomarker ◽

Immune Infiltration ◽

The Relationship

Abstract Background: Kinesin family member 23 (KIF23), an index of tumor proliferation, can serve as a prognostic marker in numerous tumors. However, the relationship between KIF23 expression and immune infiltration and the diagnostic value of KIF23 remain unclear in GC (gastric cancer). This study aimed to explored the diagnostic value of KIF23 and its interactions with tumor-infiltrating immune cells in GC by bioinformatics analysis. Mothods: The relationship between clinicopathologic features and KIF23 expression was also analyzed using the Wilcoxon rank-sum test and logistic regression. And the expression level of KIF23 was validated by IHC and GEO databases, which was consistent with informatics results. Receiver operating characteristic (ROC) curves were generated to evaluate the value of KIF23 as a binary classifier using the area under the curve (AUC value).Results: High expression of KIF23 was significantly associated with longer overall survival and progression-free survival in GC. The mutations of KIF23 in GC were analyzed using cBioPortal and the Catalogue of Somatic Mutations in Cancer database. Enrichment analysis of co-expressed genes and KIF23 analysis was performed using LinkedOmics. By using STRING and GeneMANIA databases, we investigated the protein-coding genes related to KIF23 and its co-expression genes in GC tissues. Then, the relationship between KIF23 expression and immune infiltration in GC was investigated using Timer and GEPIA. We found that KIF23 might be used as a potential diagnostic biomarker in GC. Subsequently, KIF23 expression level was correlated with the infiltration levels of CD8 + T cells, macrophages, neutrophils, and more obviously with B cells and dendritic cells. In addition, KIF23 expression was significantly associated with T cell exhaustion (CTLA-4 and GZMB). KIF23 expression showed correlations with the infiltration of diverse immune markers in GC. Conclusions: Our findings suggest KIF23 can serve as a marker for immune infiltration and diagnostic in GC, making it a potential treatment of target.

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Detection of OSR2, VAV3, and PPFIA3 Methylation in the Serum of Patients with Gastric Cancer

Disease Markers ◽

10.1155/2016/5780538 ◽

2016 ◽

Vol 2016 ◽

pp. 1-7 ◽

Cited By ~ 2

Author(s):

Wen-han Li ◽

Zhang-jian Zhou ◽

Tian-he Huang ◽

Kun Guo ◽

Wei Chen ◽

...

Keyword(s):

Gastric Cancer ◽

Methylation Status ◽

Good Alternative ◽

Diagnostic Value ◽

Noninvasive Detection ◽

Serum Samples ◽

Normal Tissues ◽

Normal Individuals ◽

Serum Dna ◽

Polymerase Chain

Aim. This study was to evaluate the diagnostic value of OSR2, VAV3, and PPFIA3 hypermethylation in gastric cancer (GC) patients. Patients and Methods. By using methylation-specific polymerase chain reaction (MSP), we detected the methylation status in tissue and serum samples from 48 gastric cancer (GC) patients and 25 normal individuals. Results. We found that OSR2, VAV3, and PPFIA3 were methylated in 70.8% (34/48), 54.2% (26/48), and 60.4% (29/48) of GC tissue, respectively. On the contrary, those genes were barely methylated in their paired paracancerous histological normal tissues (PCHNTs) (all P values < 0.01). We next analyzed the methylated OSR2, VAV3, and PPFIA3 in serum DNA. Compared with 25 normal individuals, those three genes were significantly hypermethylated in GC patients serum samples (all P values < 0.01). Regarding their diagnostic value in serum samples, the combined sensitivity of at least one positive among the three markers in serum was 83.3%, with a specificity of 88%. Conclusion. Our test suggested that methylation of OSR2, VAV3, and PPFIA3 genes in serum sample may offer a good alternative in a simple, promising, and noninvasive detection of GC.

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KIF23 Predict Immune Infiltration and Overall Survival in Gastric Cancer

10.21203/rs.3.rs-1222170/v1 ◽

2022 ◽

Author(s):

Maoshu Bai ◽

Xin Liu

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Area Under The Curve ◽

Enrichment Analysis ◽

Progression Free Survival ◽

Roc Curves ◽

Diagnostic Value ◽

Expression Level ◽

Immune Infiltration ◽

The Relationship

Abstract BackgroundKinesin family member 23 (KIF23), an index of tumor proliferation, can serve as a prognostic marker in numerous tumors. However, the relationship between KIF23 expression and immune infiltration and the diagnostic value of KIF23 remain unclear in GC (gastric cancer). This study aimed to explored the prognosis value of KIF23 and its interactions with tumor-infiltrating immune cells in GC by bioinformatics analysis. ResultsThe relationship between clinicopathologic features and KIF23 expression was also analyzed using the Wilcoxon rank-sum test and logistic regression. And the expression level of KIF23 was validated by IHC and GEO databases, which was consistent with informatics results. Receiver operating characteristic (ROC) curves were generated to evaluate the value of KIF23 as a binary classifier using the area under the curve (AUC value). High expression of KIF23 was significantly associated with longer overall survival and progression-free survival in GC. The mutations of KIF23 in GC were analyzed using cBioPortal and the Catalogue of Somatic Mutations in Cancer database. Enrichment analysis of co-expressed genes and KIF23 analysis was performed using LinkedOmics. By using STRING and GeneMANIA databases, we investigated the protein-coding genes related to KIF23 and its co-expression genes in GC tissues. Then, the relationship between KIF23 expression and immune infiltration in GC was investigated using Timer and GEPIA. We found that KIF23 might be used as a potential prognosis biomarker in GC. Subsequently, KIF23 expression level was correlated with the infiltration levels of CD8 + T cells, macrophages, neutrophils, and more obviously with B cells and dendritic cells. In addition, KIF23 expression was significantly associated with T cell exhaustion (CTLA-4 and GZMB). KIF23 expression showed correlations with the infiltration of diverse immune markers in GC. ConclusionOur findings suggest KIF23 can serve as a marker for immune infiltration and prognosis in GC.

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LINC00958 promotes the proliferation of TSCC via miR-211-5p/CENPK axis and activating the JAK/STAT3 signaling pathway

Cancer Cell International ◽

10.1186/s12935-021-01808-z ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Bo Jia ◽

Junfeng Dao ◽

Jiusong Han ◽

Zhijie Huang ◽

Xiang Sun ◽

...

Keyword(s):

Noncoding Rna ◽

Xenograft Model ◽

Tumor Xenograft ◽

Luciferase Reporter ◽

Cell Cycle Regulators ◽

Normal Tissues ◽

Stat3 Signaling ◽

Long Intergenic Noncoding Rna

Abstract Background Tongue squamous cell carcinoma (TSCC) is one of the most common oral tumors. Recently, long intergenic noncoding RNA 00958 (LINC00958) has been identified as an oncogene in human cancers. Nevertheless, the role of LINC00958 and its downstream mechanisms in TSCC is still unknown. Methods The effect of LINC00958 on TSCC cells proliferation and growth were assessed by CCK-8, colony formation, 5-Ethynyl-2′-deoxyuridline (EdU) assay and flow cytometry assays in vitro and tumor xenograft model in vivo. Bioinformatics analysis was used to predict the target of LINC00958 in TSCC, which was verified by RNA immunoprecipitation and luciferase reporter assays. Results LINC00958 was increased in TSCC tissues, and patients with high LINC00958 expression had a shorter overall survival. LINC00958 knockdown significantly decreased the growth rate of TSCC cells both in vitro and in vivo. In mechanism, LINC00958 acted as a ceRNA by competitively sponging miR-211-5p. In addition, we identified CENPK as a direct target gene of miR-211-5p, which was higher in TSCC tissues than that in adjacent normal tissues. Up-regulated miR-211-5p or down-regulated CENPK could abolish LINC00958-induced proliferation promotion in TSCC cells. Furthermore, The overexpression of CENPK promoted the expression of oncogenic cell cycle regulators and activated the JAK/STAT3 signaling. Conclusions Our findings suggested that LINC00958 is a potential prognostic biomarker in TSCC.

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Identification of Flap Endonuclease 1 With Diagnostic and Prognostic Value in Breast Cancer

Frontiers in Oncology ◽

10.3389/fonc.2021.603114 ◽

2021 ◽

Vol 11 ◽

Author(s):

Min Wu ◽

Pan Zhang ◽

Penghui Wang ◽

Zhen Fang ◽

Yaqin Zhu

Keyword(s):

Breast Cancer ◽

Prognostic Marker ◽

Prognostic Value ◽

Diagnostic Value ◽

Roc Curve Analysis ◽

Free Survival ◽

Flap Endonuclease 1 ◽

Normal Tissues ◽

Kaplan Meier ◽

Kaplan Meier Plotter

ObjectiveThis study aims to identify the potential value of flap endonuclease 1 (FEN1) as a diagnostic and prognostic marker for breast cancer (BC).MethodsELISA was used to measure serum FEN1 levels and ECLIA for CA153 and CEA levels. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic value. Oncomine and UALCAN databases were used to analyze the differences in FEN1 mRNA and protein expressions. Kaplan-Meier Plotter database was then used to assess the prognostic value.ResultsBioinformatics analysis showed that the FEN1 mRNA and protein levels were significantly higher in BC tissues than in normal tissues. FEN1 was detected in culture medium of BC cell lines and serum FEN1 concentrations were significantly increased in BC patients than in cancer-free individuals. Besides, FEN1 exhibited higher diagnostic accuracy (AUC values>0.800) than CA153 and CEA for distinguishing BC patients, especially early BC, from the healthy and benign groups, or individually. Additionally, serum FEN1 levels were significantly associated with the stage (P=0.001) and lymph invasion (P=0.016), and serum FEN1 levels were increased with the development of BC. Furthermore, serum FEN1 levels were significantly decreased in post-operative patients than in pre-operative patients (P=0.016). Based on the Kaplan-Meier Plotter database, the survival analysis indicated that FEN1 overexpression was associated with poor prognoses for overall survival (OS), relapse-free survival (RFS), and distant metastasis-free survival (DMFS) in BC patients.ConclusionFEN1 might be a novel diagnostic and prognostic marker for BC.

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Immune Cell Landscape in Gastric Cancer

BioMed Research International ◽

10.1155/2021/1930706 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Yang Yang ◽

Wei He ◽

Zi-rui Wang ◽

Yu-jiao Wang ◽

Lan-lan Li ◽

...

Keyword(s):

Gastric Cancer ◽

B Cells ◽

Immune Cells ◽

Immune Cell ◽

Univariate Analysis ◽

Molecular Therapy ◽

Expression Level ◽

Regulatory Factors ◽

Normal Tissues ◽

The Relationship

Background. The tumor-infiltrating immune cells are closely associated with the prognosis of gastric cancer (GC). This article is aimed at determining the composition change of immune cells and immune regulatory factors in GC and normal tissues, depicting their prognosis value in GC, and revealing the relationship between them and GC clinical parameters. Methods. We used CIBERSORT to calculate the proportion of 22 immune cells in the GC or normal tissues; a t -test was applied to assess the expression difference of immune cells and immune regulatory factors in normal and GC tissues. The relationship of the immune cells, immune regulatory factors, and GC patients’ clinical characteristics was assessed by univariate analysis. Results. In this study, we found that the proportion of macrophages increased, while plasma cells and monocytes decreased in GC tissues. In these immune fractions, Tregs and naïve B cells were found to be correlated with GC patients’ prognosis. Interestingly, the expression of immune regulatory factors was ambiguous with their classical function in GC tissues. For example, TIM-3, FOXP3, and CMTM6 were overexpressed, while CD27 and PD-1 were underexpressed in GC tissues. We also found that IDO1, PD-1, TIGIT, and TIM-3 were highly expressed in high-grade GC tissues, the HERC2 expression level was related to patients’ gender, and the TIGIT expression level was sensitive to targeted therapy. Furthermore, our results suggested that the infiltration of Tregs and naive B cells was strongly correlated with the T stage, radiation therapy, targeted molecular therapy, and the expression levels of TIM-3 and FOXP3 in GC. Conclusion. The expression pattern of tumor-infiltrating immune cells and immune regulatory factors was systematically depicted in the GC tumor microenvironment, indicating that individualized treatment based on the tumor-infiltrating immune cells and immune regulatory factors may be beneficial to GC patients.

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LINC00958 promotes the proliferation of TSCC via miR-211-5p/CENPK axis and activating the JAK/STAT3 signaling pathway

10.21203/rs.3.rs-78207/v2 ◽

2021 ◽

Author(s):

Bo Jia ◽

Junfeng Dao ◽

Jiusong Han ◽

Zhijie Huang ◽

Xiang Sun ◽

...

Keyword(s):

Noncoding Rna ◽

Xenograft Model ◽

Tumor Xenograft ◽

Luciferase Reporter ◽

Cell Cycle Regulators ◽

Normal Tissues ◽

Stat3 Signaling ◽

Long Intergenic Noncoding Rna

Abstract Background: Tongue squamous cell carcinoma (TSCC) is one of the most common oral tumors. Recently, long intergenic noncoding RNA 00958 (LINC00958) has been identified as an oncogene in human cancers. Nevertheless, the role of LINC00958 and its downstream mechanisms in TSCC is still unknown. Methods: The expression levels of LINC00958 in human TSCC tissues and adjacent normal tissues were detected. The effect of LINC00958 on TSCC cells proliferation and growth were assessed by CCK-8, colony formation, 5-Ethynyl-2’-deoxyuridline (EdU) assay, and flow cytometry assays in vitro and tumor xenograft model in vivo. Bioinformatics analysis was used to predict the target of LINC00958 in TSCC, which was verified by RNA immunoprecipitation and luciferase reporter assays. Results: We found LINC00958 was increased in TSCC tissues, and patients with high LINC00958 expression had a shorter overall survival. LINC00958 knockdown significantly decreased the growth rate of TSCC cells both in vitro and in vivo . In mechanism, LINC00958 acted as a competing endogenous RNA (ceRNA) by competitively sponging miR-211-5p. In addition, we identified centromere protein K (CENPK) as a direct target gene of miR-211-5p, which was higher in TSCC tissues than that in adjacent normal tissues. Up-regulated miR-211-5p or down-regulated CENPK could abolish LINC00958-induced proliferation promotion in TSCC cells. Conclusion: Furthermore, CENPK promoted the expression of oncogenic cell cycle regulators and activated the JAK/STAT3 signaling. Our findings suggest that LINC00958 is a potential prognostic biomarker in TSCC.

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