The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Cancers originating from different organs can show similar genomic alterations whereas cancers originating from the same organ can vary across patients. Therefore cancer stratification that does not depend on the tissue of origin can play an important role to better understand cancers having similar genomic patterns irrespective of their origins. In this work, we formulated the problem as a weighted...
In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive Boosting version Ml (AdaboostM1) is proposed for finding genes that can classify the group of cancers correctly. In this approach, BBHA is used to perform gene selection and AdaboostM1 with 10-fold cross validation is adopted as the classifier. Also, to find the relation between the biomarkers for biological point...
The identification of molecular markers with prognostic value in colorectal cancer is a challenging task that is needed to define therapeutic guidelines. Despite recent advances in the screening, diagnosis, and treatment of colorectal cancer, an estimated 608,000 people die every year from this form of cancer, which is 8% of all cancer deaths. We performed two staged integrated bioinformatics analytics...
Cancers are a large family of diseases that involve abnormal cell growth with the potential to spread to other parts of the body. A cancer disease in any of its forms represents a major cause of death worldwide. In cancer diagnosis, classification of different tumor types is of the greatest significance. Accuracy for prediction of various tumor types gives better treatment and minimization of toxicity...
Anaplastic thyroid carcinoma (ATC) is one of the most aggressive human malignancies, which is refractory to surgery, radiotherapy, radioiodine therapy and conventional chemotherapy. Vorinostat (SAHA, also called suberoylanilide hydroxamic acid) is one of Histone deacetylase inhibitors (HDACIs), which is a promising agent for cancer therapy. Death receptor 5 (DR5) is a transmembrane receptor containing...
Colon cancer initiating cells (CCICs) are more tumorigenic and metastatic than the majority of colorectal cancer (CRC) cells. CCICs have also been associated with stem cell-like properties. However, there is a lack of system-level understanding of what mechanisms distinguish CCICs from common CRC cells. We compared the transcriptomes of CD133+ CCICs and CD133- CRC cells from multiple sources, which...
Through the Project Development of a federated infrastructure network for the generation of virtualization services of workstation (FI4VDI, Infrastruture Federation — Virtual Desktop Infrastructure) is intended to establish joint initiatives of R&D+i to reinforc the technological research system — strategic actions regarding innovation in the field of digital economy and society, and the development...
Cancer, (uncontrolled cell proliferation), has demonstrably high impact on human life: complex feelings and lifestyle changes, caused by malignancy, affect not only patients, but also family and friends. Cancer origin has been linked to genetic and epigenetic abnormalities that target stem cells. Here, we introduce an agent-based model for colon crypt dynamics, where the agents represent three cell...
Despite the generally excellent outcomes associated with early stage colon cancer treatment, a significant number of patients still develop recurrence and ultimately die from their disease. The standard tumor-node-metastasis (TNM) staging system cannot predict which patient will recur and will need additional therapy. This study aims to provide clinicians with a new computational tool based on quantitative...
Tumor-infiltrating lymphocytes (TILs) play critical roles in host anti-tumor immune responses. It is known that cancer patients with tumor-reactive lymphocyte infiltration in their tumors have better prognoses, while patients with tumors infiltrated by immunosuppressive cells have worse prognoses. We found that administration of 6-gingerol, which is a component of ginger, inhibited tumor growth in...
The expression of TNF super family member often undergoes post-translation modifying, including internalization and shedding by specific enzymes. Matrix metalloproteases (MMPs) and proteases containing a disintegrin and a metalloprotease domain (ADAMs) are often responsible for the shedding of these members. But the proteases shedding TNF-related apoptosis inducing ligand (TRAIL, a newly described...
Observe the inhibition of Rg1 against the growth of colon cancer cell strains through dye exclusion experiment in vitro. In vivo, establish the colon cancer animal model, divide the mice bearing tumor into 6 groups randomly, i.e., Rg1 3, 1, 0.3 mg·kg−1 groups, cyclophosphamide group (CTX), solvent control group, and combined administration group (CTX + Rg1); administer drug into abdominal cavity daily...
To examine the expression status of TSP50 in different types of human tumors. we tested the expression of TSP50 in Lung cancer, stomach cancer, liver cancer, colon cancer and prostate cancer by performing IHC assays technique. the expression of TSP50 in Lung cancer indicated that the positive rate was about 89%; the expression of TSP50 in stomach cancer the positive rate was about 88%; the expression...
To investigate the role of the angiopoietin-2 (Ang-2) signal transduction pathway in colon cancer, colon cancer cells (SW1116) were divided into four groups, control group, serum-free group, Ang-2 group (treated with 1.2 mg/L Ang-2) and PI3K/Akt inhibitor group (treated with LY294002 and Ang-2). Then Tie-2, PI3K and Akt were detected via Western blotting after 24 h. Compared to the serum-free group,...
Knowledge gained through classification of microarray gene expression data is increasingly important as they are useful for phenotype classification of diseases. Different from black box methods, rule based system can produce interpretable classifier with knowledge compressed in terms of rules. This paper proposes a rule based approach called "Large coverage rule (LCR)" for microarray data...
A novel methodology to identify L1 Ta-1 insertion events in human patient tissue samples using high-throughput pyrosequencing was developed. Using this method, many new L1 Ta-1 insertions were identified. One novel L1 Ta-1 insertion was identified in a tumor tissue DNA, but was absent in the adjacent normal tissue DNA. These results suggest that L1 Ta-1 insertions can occur during colon cancer development,...
Identification of salient patterns for the classification of gene expression profiles is a useful step in examining the biological significance and correlation of genes with disease states. We propose a clustering-based approach in which feature selection is first carried out to identify influential genes and then salient patterns are determined to characterize each of the different classes. The proposed...
With the development of DNA microarrys technology, it is very important to classify the different tumor types correctly in cancer diagnosis and drug discovery. In this paper, we discuss how to use the nonnegative matrix factorization (NMF) to extract features and illustrate how to adopt classification model to improve the classification accuracy. For the DNA microarrys, the gene expression data is...
As the gene expression profiling data being with the characteristic of severe multicollinearity, small samples, and high dimension, it is difficult to build tumor classification model. Partial least square regression was applied as dimension reduction method to the model of tumor classification. Respectively, principal components are extracted from five gene expression profiling data sets: Gastric,...
Objective: To study the effect of hesperidin extracted from the peel of Gannan kumquat on cell proliferation and apoptosis of human poorly diferentiated nasopharyongeal carcinoma epithelial cell (CNE-2Z). Methods: Effect of hesperidin on proliferation of CNE-2Z cells was detected by the MTT method. Effect of hesperidin on apoptosis of CNE-2Z cells was utilized by the acridine orange / ethidium bromide...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.