Coral-like hierarchical structured carbon nanoscaffold with improved sensitivity for biomolecular detection in cancer tissue

2020 ◽  
Vol 150 ◽  
pp. 111924 ◽  
Author(s):  
Yan Zhang ◽  
Kai Chi ◽  
Jian Xiao ◽  
Yangyang Xu ◽  
Anshun Zhao ◽  
...  
Keyword(s):  
Cancer Tissue ◽  
Biomolecular Detection

Cellular Localization of Enzymatically Active Thrombin in Intact Human Tissues by Hirudin Binding

1995 ◽  
Vol 73 (05) ◽  
pp. 793-797 ◽  
Author(s):  
Leo R Zacharski ◽  
Vincent A Memoli ◽  
William D Morain ◽  
Jean-Marc Schlaeppi ◽  
Sandra M Rousseau
Keyword(s):  
Tumor Cell ◽  
Cell Carcinoma ◽  
Cellular Localization ◽  
Thrombin Generation ◽  
Normal Lung ◽  
Cancer Tissue ◽  
Immunohistochemical Techniques ◽  
Tumor Types ◽  
Negative Controls

SummaryCellular sites of coagulation activation within complex, intact tissues have been studied by immunohistochemical techniques. Hirudin, a specific and high affinity inihibitor of the active site of thrombin, together with antibody to hirudin were applied to sections of AMeX-fixed specimens of normal lung, kidney, placenta, freshly incised skin and unperturbed skin obtained at fresh autopsy; to rheumatoid synovial tissue; and to malignant tissue from a variety of tumor types. Staining for thrombin was observed selectively on pulmonary alveolar, rheumatoid synovial, and placental macrophages that express an intact extrinsic coagulation pathway. Staining was also observed restricted to the endothelium of capillaries in freshly incised skin but not in either unperturbed skin or in aged incisions. Staining of tumor cell bodies was observed in small cell carcinoma of the lung, renal cell carcinoma, and malignant melanoma tissues that we found previously to show tumor cell-associated procoagulant activity. This staining occurred commonly on cells within the tumor mass that were distant from stromal fibrinogen/fibrin. By contrast, tumor-associated macrophage but not tumor cell staining was seen in adenocarcinoma and squamous cell carcinoma of the lung, and little or no staining was seen in colon cancer tissue. Negative controls in which either the hirudin probe or its antibody were omitted failed to show staining. These results are in accord with previous findings and suggest that such techniques may be useful for studying the cellular sites of thrombin generation in intact tissues. We postulate that administration of potent and specific thrombin antagonists, such as hirudin, to patients with relevant tumor types might be followed by homing of hirudin to tumor cells in vivo so that effects of local thrombin generation on malignant progression can be determined.

MicroRNAs and their role in hematological malignant diseases

2012 ◽  
Vol 153 (52) ◽  
pp. 2051-2059 ◽  
Author(s):  
Zsuzsanna Gaál ◽  
Éva Oláh
Keyword(s):  
Target Genes ◽  
Lymphoblastic Leukemia ◽  
Cancer Tissue ◽  
Altered Expression ◽  
Diagnosis And Prognosis ◽  
Oncologic Patients ◽  
Different Types ◽  
Non Coding Rnas ◽  
Success Of Treatment ◽  
Posttranscriptional Level

MicroRNAs are a class of small non-coding RNAs regulating gene expression at posttranscriptional level. Their target genes include numerous regulators of cell cycle, cell proliferation as well as apoptosis. Therefore, they are implicated in the initiation and progression of cancer, tissue invasion and metastasis formation as well. MicroRNA profiles supply much information about both the origin and the differentiation state of tumours. MicroRNAs also have a key role during haemopoiesis. An altered expression level of those have often been observed in different types of leukemia. There are successful attempts to apply microRNAs in the diagnosis and prognosis of acute lymphoblastic leukemia and acute myeloid leukemia. Measurement of the expression levels may help to predict the success of treatment with different kinds of chemotherapeutic drugs. MicroRNAs are also regarded as promising therapeutic targets, and can contribute to a more personalized therapeutic approach in haemato-oncologic patients. Orv. Hetil., 2012, 153, 2051–2059.

A PILOT STUDY OF HER-2/NEU GENE AMPLIFICATION ASSESSED BY FLUORESCENCE IN SITU HYBRIDIZATION (FISH) IN GASTRIC CANCER

2014 ◽  
pp. 15-20
Author(s):  
Van Huy Tran ◽  
Thi Minh Thi Ha ◽  
Trung Nghia Van ◽  
Viet Nhan Nguyen ◽  
Phan Tuong Quynh Le ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
In Situ Hybridization ◽  
Fluorescence In Situ Hybridization ◽  
Cancer Patients ◽  
Gene Amplification ◽  
Cancer Tissue ◽  
Tissue Samples ◽  
Her 2 ◽  
Gastric Cancer Patients

Background: HER-2/neu is a predictive biomarker for treatment of gastric cancer using trastuzumab in combination with chemotherapy. This study aimed to evaluate the status of HER-2/neu gene amplification using fluorescence in situ hybridization (FISH) in gastric cancer. Patients and methods: thirty six gastric cancer patients were assessed HER-2/neu gene amplification by FISH using PathVysionTM HER-2 DNA Probe kit (including HER-2/neu probe and CEP-17 probe) with biopsy and surgical specimens. Results: The HER-2/neu gene amplification was observed in three cases (8.3%), the HER-2/neu gene amplification rate in Lauren’s intestinal-type and diffuse-type were 11.8% and 5.2%, respectively. Conclusion: We applied successfully FISH technique with gastric cancer tissue samples. This technique could be performed as routine test in gastric cancer in order to select patients that benefit from trastuzumab in combination with chemotherapy.

Aberrant β-catenin activity in hepatoid adenocarcinoma of the stomach

2020 ◽  
Vol 20 ◽  
Author(s):  
Nan Wang ◽  
Rui Kong ◽  
Wei Han ◽  
Jie Lu
Keyword(s):  
Hepatocellular Carcinoma ◽  
Pearson Correlation ◽  
Clinicopathological Characteristics ◽  
Cancer Tissue ◽  
Hepatoid Adenocarcinoma ◽  
Tumor Initiating Cells ◽  
Significant Difference ◽  
Diagnostic Confusion ◽  
Hematoxylin And Eosin ◽  
Cancer Tissues

Background: Hepatoid adenocarcinoma of the stomach (HAS) has been recognized as a rare primary gastric tumor characterized by hepatocellular carcinoma-like histology. HAS often causes diagnostic confusion with conventional gastric adenocarcinoma (CGA) due to the difficulty to detect hepatoid differentiation solely based on findings from hematoxylin and eosin (H&E) staining. Hence, HAS should be distinguished from solid-type CGA based on their different biological behaviors. β-catenin is highly expressed in hepatocellular carcinoma (HCC), which is involved in the maintenance of tumor initiating cells, drug resistance, tumor progression, and metastasis. Methods and Results: Given the dearth of HAS cases, systematic examination of the expression of β-catenin in HAS remains under-explored. In this study, 14 cases were subjected to immunostaining with with AFP, β-catenin, glypican3, hepar-1 and CerbB-2. In parallel, the clinicopathological characteristics of these patients were collected. We detected statistically significant difference in the expression of β-catenin (P = 0.000), glypican3 (P = 0.019), and hepar-1 (P = 0.007) between HAS cancer tissues and the adjacent non-cancerous tissues. Furthermore, a significant correlation was observed between the expression of β-catenin in HAS cancer tissue and adjacent tissue (Pearson correlation coefficient: 0.686, P = 0.007). Moreover, in cancer tissues, a significant correlation was observed between the expression of β-catenin and survival time (Spearman correlationcoefficient= - 0.482, P = 0.003). However, we found the expression of β-catenin did not correlate with the degree of tumor differentiation and tumor size, age, gender, serum AFP levels, microinvasion, and metastasis (P > 0.05). Conclusion: Our findings establish β-catenin as a useful marker that can distinguish HAS from CGA and may improve the early diagnosis to guide the appropriate and timely treatment of HAS patients.

Identifying Breast Cancer-induced gene perturbations and its application in guiding drug repurposing

2020 ◽  
Vol 15 ◽  
Author(s):  
Jujuan Zhuang ◽  
Shuang Dai ◽  
Lijun Zhang ◽  
Pan Gao ◽  
Yingmin Han ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Differential Expression ◽  
Enrichment Analysis ◽  
Cancer Tissue ◽  
Connectivity Analysis ◽  
Cancer Drugs ◽  
Normal Tissues ◽  
Differential Gene ◽  
Differential Modules ◽  
Differential Connectivity

Background: Breast cancer is a complex disease with high prevalence in women, the molecular mechanisms of which are still unclear at present. Most transcriptomic studies on breast cancer focus on differential expression of each gene between tumor and the adjacent normal tissues, while the other perturbations induced by breast cancer including the gene regulation variations, the changes of gene modules and the pathways, which might be critical to the diagnosis, treatment and prognosis of breast cancer are more or less ignored. Objective: We presented a complete process to study breast cancer from multiple perspectives, including differential expression analysis, constructing gene co-expression networks, modular differential connectivity analysis, differential gene connectivity analysis, gene function enrichment analysis key driver analysis. In addition, we prioritized the related anti-cancer drugs based on enrichment analysis between differential expression genes and drug perturbation signatures. Methods: The RNA expression profiles of 1109 breast cancer tissue and 113 non-tumor tissues were downloaded from The Cancer Genome Atlas (TCGA) database. Differential expression of RNAs was identified using the “DESeq2” bioconductor package in R, and gene co-expression networks was constructed using the weighted gene co-expression network analysis (WGCNA). To compare the module changes and gene co-expression variations between tumor and the adjacent normal tissues, modular differential connectivity (MDC) analysis and differential gene connectivity analysis (DGCA) were performed. Results: Top differential genes like MMP11 and COL10A1 were known to be associated with breast cancer. And we found 23 modules in the tumor network had significantly different co-expression patterns. The top differential modules were enriched in Goterms related to breast cancer like MHC protein complex, leukocyte activation, regulation of defense response and so on. In addition, key genes like UBE2T driving the top differential modules were significantly correlated with the patients’ survival. Finally, we predicted some potential breast cancer drugs, such as Eribulin, Taxane, Cisplatin and Oxaliplatin. Conclusion: As an indication, this framework might be useful in understanding the molecular pathogenesis of diseases like breast cancer and inferring useful drugs for personalized medication

Discovering Therapeutic Protein Targets for Bladder Cancer Using Proteomic Data Analysis

2020 ◽  
Vol 13 (2) ◽  
pp. 150-172 ◽  
Author(s):  
Samira Bahrami ◽  
Bahram Kazemi ◽  
Hakimeh Zali ◽  
Peter C. Black ◽  
Abbas Basiri ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Gene Ontology ◽  
Monoclonal Antibodies ◽  
Membrane Proteins ◽  
Growth Factor Receptor ◽  
Subcellular Location ◽  
Cancer Tissue ◽  
Heat Shock Protein 60 ◽  
Absolute Quantitation ◽  
Muscle Invasive

Background: Bladder cancer accounts for almost 54% of urinary system cancer and is the second most frequent cause of death in genitourinary malignancies after prostate cancer. About 70% of bladder tumors are non-muscle-invasive, and the rest are muscle-invasive. Recurrence of the tumor is the common feature of bladder cancer. Chemotherapy is a conventional treatment for MIBC, but it cannot improve the survival rate of these patients sufficiently. Therefore, researchers must develop new therapies. Antibody-based therapy is one of the most important strategies for the treatment of solid tumors. Selecting a suitable target is the most critical step for this strategy. Objective: The aim of this study is to detect therapeutic cell surface antigen targets in bladder cancer using data obtained by proteomic studies. Methods: Isobaric tag for relative and absolute quantitation (iTRAQ) analysis had identified 131 overexpressed proteins in baldder cancer tissue and reverse-phase proteomic array (RPPA) analysis had been done for 343 tumor tissues and 208 antibodies. All identified proteins from two studies (131+208 proteins) were collected and duplicates were removed (331 unique proteins). Gene ontology study was performed using gene ontology (GO) and protein analysis through evolutionary relationships (PANTHER) databases. The Human Protein Atlas database was used to search the protein class and subcellular location of membrane proteins obtained from the PANTHER analysis. Results: Membrane proteins that could be suitable therapeutic targets for bladder cancer were selected. These included: Epidermal growth factor receptor (EGFR), Her2, Kinase insert domain receptor (KDR), Heat shock protein 60 (HSP60), HSP90, Transferrin receptor (TFRC), Activin A Receptor Like Type 1 (ACVRL1), and cadherin 2 (CDH2). Monoclonal antibodies against these proteins or their inhibitors were used for the treatment of different cancers in preclinical and clinical trials. Conclusion: These monoclonal antibodies and inhibitor molecules and also their combination can be used for the treatment of bladder cancer.

Sign in / Sign up

Export Citation Format

Share Document