AIM: To evaluate the relation of cluster of differentiation 44 (CD44) expression with clinicopathological features of gastric adenocarcinoma, and also its effect on prognosis with an emphasis on the differences betwee...AIM: To evaluate the relation of cluster of differentiation 44 (CD44) expression with clinicopathological features of gastric adenocarcinoma, and also its effect on prognosis with an emphasis on the differences between intestinal and diffuse types. METHODS: From 2000 to 2006, 100 patients with gastric adenocarcinoma, who had undergone total or subtotal gastrectomy without any prior treatment, were studied. Haematoxylin & eosin (HE) staining was used for histological evaluation, including the type (Lauren's classifi cation) and grading of the tumor. The expression of CD44 in the gastric adenocarcinoma mucosa and the adjacent mucosa were determined by immunohistochemistry. The survival analysis was obtained using the Kaplan-Meier test. RESULTS: Of 100 patients, 74 (74%) patients were male. The tumors were categorized as intestinal type (78%) or diffuse type (22%). Sixty-five percent of patients were CD44-positive. CD44 expression was not detected in normal gastric mucosa. Rather, CD44 was more commonly expressed in the intestinal subtype (P = 0.002). A signifi cant relation was seen between the grade of tumor and the expression of CD44 (P = 0.014). The survival analysis showed a poor prognosis of patients with CD44-positive tumors (P = 0.008); and this was more prominent in the intestinal (P = 0.001) rather than diffuse type. CONCLUSION: Cell adhesion molecule CD44 is highly expressed in gastric adenocarcinoma. CD44 expression is correlated with a poor prognosis in patients with the intestinal type of gastric adenocarcinoma. CD44 can, therefore, be utilized as a prognostic marker for this group of patients.展开更多
Background:Long non-coding RNA(lncRNA)actin filament-associated protein 1 antisense RNA 1(AFAP1-AS1)functions as a competing endogenous RNA to regulate target genes expression by sponging microRNAs(miRs)to play cancer...Background:Long non-coding RNA(lncRNA)actin filament-associated protein 1 antisense RNA 1(AFAP1-AS1)functions as a competing endogenous RNA to regulate target genes expression by sponging microRNAs(miRs)to play cancer-promoting roles in cancer stem cells.However,the regulatory mechanism of AFAP1-AS1 in cervical cancer(CC)stem cells is unknown.The present study aimed to provide a new therapeutic target for the clinical treatment of CC.Methods:Hyaluronic acid receptor cluster of differentiation 44 variant exon 6(CD44v6)(+)CC cells were isolated by flow cytometry(FCM).Small interfering RNAs of AFAP1-AS1(siAFAP1-AS1)were transfected into the(CD44v6)(+)cells.The levels of AFAP1-AS1 were measured by quantitative real-time PCR(qRT-PCR).Sphere formation assay,cell cycle analysis,and Western blotting were used to detect the effect of siAFAP1-AS1.RNA pull-down and luciferase reporter assay were used to verify the relationship between miR-27b-3p and AFAP1-AS1 or vascular endothelial growth factor(VEGF)-C.Results:CD44v6(+)CCcells had remarkable stemness and a high level ofAFAP1-AS1.However,AFAP1-AS1knockdownwithsiAFAP1-AS1suppressed the cell cycle transitionofG(1)/S phase and inhibited self-renewal ofCD44v6(+)CCcells,the levels of the stemnessmarkers octamer-binding transcription factor 4(OCT4),osteopontin(OPN),and cluster of differentiation 133(CD133),and the epithelialmesenchymal transition(EMT)-related proteins Twist1,matrix metalloprotease(MMP)-9,and VEGF-C.In the mechanism study,miR-27b-3p/VEGF-C signaling was demonstrated to be a key downstream of AFAP1-AS1 in the CD44v6(+)CC cells.Conclusions:LncRNA AFAP1-AS1 knockdown inhibits the CC cell stemness by upregulating miR-27b-3p to suppress VEGF-C.展开更多
Serum biomarkers in the form of proteins （e.g. cluster of differentiation-44 （CD44）） have been demonstrated to have high clinical sensitivity and specificity for disease diagnosis and prognosis. Owing to the high ...Serum biomarkers in the form of proteins （e.g. cluster of differentiation-44 （CD44）） have been demonstrated to have high clinical sensitivity and specificity for disease diagnosis and prognosis. Owing to the high sample complexity and low molecular abundance in serum, the detection and profiling of biomarkers rely on efficient extraction by materials and devices, mostly using immunoassays via antibody-antigen recognition. Antibody-free approaches are promising and need to be developed for real-case applications in serum to address the limitations of antibody-based techniques in terms of robustness, expense, and throughput. In this work, we demonstrated a novel approach using hyaluronic acid （HA）-modified materials/devices for the extraction, detection, and profiling of serum biomarkers via ligand-protein interactions. We constructed Fe304@SiOa@HA particles with different sizes through layer-by-layer assembly and for the first time applied HA-functionalized particles in the facile extraction and sequence identification of CD44 in serum by mass spectrometry. We also first validated HA-CD44 binding through electrochemical sensing using HA- modified electrodes in both standard solutions and diluted serum samples, achieving a detection limit of -0.6 ng/mL and a linear response range from I ng/mL to 10 ~tg/mL. Furthermore, we performed profiling of HA-binding serum proteome, providing a new preliminary benchmark for the construction of future databases, and we investigated selected surface chemistries of particles for the capture of proteins in serum. Our work not only resulted in the development of a platform technology for CD44 extraction/detection and HA-binding proteome identification, but also guided the design of ligand affinity-based approaches for antibody-free analysis of serum biomarkers towards diagnostic applications.展开更多
目的:探讨miR⁃492对恶性胶质瘤细胞迁移的影响及分子机制。方法:利用miRNA芯片检测恶性胶质瘤组织中miRNAs的表达谱,real time RT⁃PCR验证miR⁃492在恶性胶质瘤组织中的表达;用miR⁃492 mimics转染人恶性胶质瘤细胞系U87细胞,Transwell试...目的:探讨miR⁃492对恶性胶质瘤细胞迁移的影响及分子机制。方法:利用miRNA芯片检测恶性胶质瘤组织中miRNAs的表达谱,real time RT⁃PCR验证miR⁃492在恶性胶质瘤组织中的表达;用miR⁃492 mimics转染人恶性胶质瘤细胞系U87细胞,Transwell试验检测U87细胞迁移能力;利用生物信息学方法筛选miR⁃492的下游靶基因并在U87细胞中验证;Western Blot检测恶性胶质瘤中白细胞分化抗原44(CD44)蛋白的表达,并用皮尔逊相关系数分析恶性胶质瘤组织中miR⁃492和CD44的表达的相关性。结果:与癌旁组织相比,恶性胶质瘤组织中miR⁃492表达下调。miR⁃492 mimics转染可抑制U87细胞转移,同时降低CD44的表达;恶性胶质瘤组织中miR⁃492和CD44的表达呈负相关。结论:我们鉴定了miR⁃492及其靶分子CD44作为对恶性胶质瘤转移有重要作用的调节因子。miR⁃492有望成为恶性胶质瘤的一个有前途的新治疗靶点和生物标志物。展开更多
目的:探讨过表达细胞黏附样分子(close homologue of L1,CHL1)基因对乳腺癌细胞增殖、凋亡及侵袭的影响及其可能的作用机制。方法:细胞实验分为正常组(细胞常规培养,不进行外界干预)、对照组(细胞转染pcDNA3.1-CHL1-mimic-NC后,常规培养...目的:探讨过表达细胞黏附样分子(close homologue of L1,CHL1)基因对乳腺癌细胞增殖、凋亡及侵袭的影响及其可能的作用机制。方法:细胞实验分为正常组(细胞常规培养,不进行外界干预)、对照组(细胞转染pcDNA3.1-CHL1-mimic-NC后,常规培养)、实验组(细胞转染pcDNA3.1-CHL1-mimic后,常规培养);流式细胞术检测各组细胞的凋亡率,Transwell小室检测细胞的侵袭能力。Western blot检测各组细胞中CHL1、分化抗原44(CD44)表达的水平。结果:单因素方差分析显示,正常组、对照组和实验组细胞凋亡率、侵袭细胞个数及CHL1、CD44表达水平的差异均具有统计意义(F=2698.000,P=0.000;F=655.973,P=0.000;F=914.107,P=0.000;F=3653.000,P=0.000)。流式细胞结果显示实验组细胞的凋亡率明显高于对照组(P=0.000);Transwell小室显示实验组细胞的细胞侵袭个数明显少于对照组(P=0.000);Western blot检测显示实验组细胞中CHL1的表达明显高于正常组和对照组(P=0.000),CD44表达明显低于正常组和对照组(P=0.000)。结论:过表达CHL1能够抑制乳腺癌细胞增殖与侵袭能力,促使其凋亡,这可能与特异性结合CD44有关。展开更多
基金Supported by A research grant offered by Mashhad University of Medical Sciences, No. 85017
文摘AIM: To evaluate the relation of cluster of differentiation 44 (CD44) expression with clinicopathological features of gastric adenocarcinoma, and also its effect on prognosis with an emphasis on the differences between intestinal and diffuse types. METHODS: From 2000 to 2006, 100 patients with gastric adenocarcinoma, who had undergone total or subtotal gastrectomy without any prior treatment, were studied. Haematoxylin & eosin (HE) staining was used for histological evaluation, including the type (Lauren's classifi cation) and grading of the tumor. The expression of CD44 in the gastric adenocarcinoma mucosa and the adjacent mucosa were determined by immunohistochemistry. The survival analysis was obtained using the Kaplan-Meier test. RESULTS: Of 100 patients, 74 (74%) patients were male. The tumors were categorized as intestinal type (78%) or diffuse type (22%). Sixty-five percent of patients were CD44-positive. CD44 expression was not detected in normal gastric mucosa. Rather, CD44 was more commonly expressed in the intestinal subtype (P = 0.002). A signifi cant relation was seen between the grade of tumor and the expression of CD44 (P = 0.014). The survival analysis showed a poor prognosis of patients with CD44-positive tumors (P = 0.008); and this was more prominent in the intestinal (P = 0.001) rather than diffuse type. CONCLUSION: Cell adhesion molecule CD44 is highly expressed in gastric adenocarcinoma. CD44 expression is correlated with a poor prognosis in patients with the intestinal type of gastric adenocarcinoma. CD44 can, therefore, be utilized as a prognostic marker for this group of patients.
文摘Background:Long non-coding RNA(lncRNA)actin filament-associated protein 1 antisense RNA 1(AFAP1-AS1)functions as a competing endogenous RNA to regulate target genes expression by sponging microRNAs(miRs)to play cancer-promoting roles in cancer stem cells.However,the regulatory mechanism of AFAP1-AS1 in cervical cancer(CC)stem cells is unknown.The present study aimed to provide a new therapeutic target for the clinical treatment of CC.Methods:Hyaluronic acid receptor cluster of differentiation 44 variant exon 6(CD44v6)(+)CC cells were isolated by flow cytometry(FCM).Small interfering RNAs of AFAP1-AS1(siAFAP1-AS1)were transfected into the(CD44v6)(+)cells.The levels of AFAP1-AS1 were measured by quantitative real-time PCR(qRT-PCR).Sphere formation assay,cell cycle analysis,and Western blotting were used to detect the effect of siAFAP1-AS1.RNA pull-down and luciferase reporter assay were used to verify the relationship between miR-27b-3p and AFAP1-AS1 or vascular endothelial growth factor(VEGF)-C.Results:CD44v6(+)CCcells had remarkable stemness and a high level ofAFAP1-AS1.However,AFAP1-AS1knockdownwithsiAFAP1-AS1suppressed the cell cycle transitionofG(1)/S phase and inhibited self-renewal ofCD44v6(+)CCcells,the levels of the stemnessmarkers octamer-binding transcription factor 4(OCT4),osteopontin(OPN),and cluster of differentiation 133(CD133),and the epithelialmesenchymal transition(EMT)-related proteins Twist1,matrix metalloprotease(MMP)-9,and VEGF-C.In the mechanism study,miR-27b-3p/VEGF-C signaling was demonstrated to be a key downstream of AFAP1-AS1 in the CD44v6(+)CC cells.Conclusions:LncRNA AFAP1-AS1 knockdown inhibits the CC cell stemness by upregulating miR-27b-3p to suppress VEGF-C.
文摘Serum biomarkers in the form of proteins （e.g. cluster of differentiation-44 （CD44）） have been demonstrated to have high clinical sensitivity and specificity for disease diagnosis and prognosis. Owing to the high sample complexity and low molecular abundance in serum, the detection and profiling of biomarkers rely on efficient extraction by materials and devices, mostly using immunoassays via antibody-antigen recognition. Antibody-free approaches are promising and need to be developed for real-case applications in serum to address the limitations of antibody-based techniques in terms of robustness, expense, and throughput. In this work, we demonstrated a novel approach using hyaluronic acid （HA）-modified materials/devices for the extraction, detection, and profiling of serum biomarkers via ligand-protein interactions. We constructed Fe304@SiOa@HA particles with different sizes through layer-by-layer assembly and for the first time applied HA-functionalized particles in the facile extraction and sequence identification of CD44 in serum by mass spectrometry. We also first validated HA-CD44 binding through electrochemical sensing using HA- modified electrodes in both standard solutions and diluted serum samples, achieving a detection limit of -0.6 ng/mL and a linear response range from I ng/mL to 10 ~tg/mL. Furthermore, we performed profiling of HA-binding serum proteome, providing a new preliminary benchmark for the construction of future databases, and we investigated selected surface chemistries of particles for the capture of proteins in serum. Our work not only resulted in the development of a platform technology for CD44 extraction/detection and HA-binding proteome identification, but also guided the design of ligand affinity-based approaches for antibody-free analysis of serum biomarkers towards diagnostic applications.
