Author
Ruben Darmawan
Bio: Ruben Darmawan is an academic researcher from Sebelas Maret University. The author has contributed to research in topics: Cancer & Tumor suppressor gene. The author has an hindex of 1, co-authored 1 publications receiving 8 citations.
Topics: Cancer, Tumor suppressor gene, Cell cycle, Gene mutation, E2F
Papers
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TL;DR: The conclusion from this experiment is that the expression of p53, Rb and c-myc proteins in cervical cancer are in mild category (30-70%).
Abstract: The pathogenesis of cancer as whole (50%) is caused by gene mutation. Pathogenesis of cervical cancer has focusing on Human Papilloma Virus (HPV). Early-7 (E7) proteins of HPV shell bind the Rb tumor suppressor gene, so pRb (Rb protein) can’t express. Because of the E2F transcription factor gene can’t bound with pRb, so E2F gene are going active and help c-myc for DNA replication and to stimuli the cell cycle. E6 protein of HPV is bind to and facilitates the degradation of the p53 tumor suppressor gene product. The objective of this experiment is to known the expression of p53, Rb and c-myc proteins in cancer of uterine cervix. Nineteen blocks paraffin tissue of cervical cancer are cut in thoroughly cleaned cryotome and place in glass plate that covered with poly-elysine. The immunohistochemistry is done with monoclonal antibody anti p53, Rb and c-myc proteins. The Result of this experiment is shown that the expression of proteins of p53 protein is 40%, Rb protein is 30.8% and c-myc protein is 50.1%. The conclusion from this experiment is that the expression of p53, Rb and c-myc proteins in cervical cancer are in mild category (30-70%). The experiment about cervical cancer is suggested.Key words: cervical cancer; p53; Rb; c-myc; immunohistochemistry.
8 citations
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TL;DR: Implementation of model for multi-criteria GDSS in which the simulation data is the mutated genes that can causecancer is proposed, which is a computer-based system that can be utilized in detecting human gene mutations that cause disease.
Abstract: Analysis of genes expression can be done with the investigation of a particular microarray data for the description of a gen. This is done to identify whatgenes that were active in the human body. Detection of gene mutation is an activity that can provide contribution in the medical field. Detection of mutated gene is needed to avoid the diseases caused by themsuch as cancer. The detection of gene mutations can be performed by utilizing computer-based system. Group Decision Support System (GDSS) is a computer-based system that can be utilized in detecting human gene mutations that cause disease. The ELECTRE method, which is a Multi-Attribute DecisionMaking, is a method in modeling multi-criteria GDSS. In this paper we propose implementation of model for multi-criteria GDSS in which the simulation data is the mutated genes that can causecancer
34 citations
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TL;DR: Annona muricata Linn leaf in chloroform is a good candidate for chemoprevention escort chemotherapy for cancer causing viruses.
Abstract: Introduction: Now many studies conducted on the drug substance from nature that can serve as an anticancer agent as a potential chemoprevention agent, such as Annona muricata Linn leaf escort chemotherapy, which was flaring. The cancer cell in humans was included the loss of p53 protein function due to mutations in the protein gene. Other causes are that the p53 proteins are not functioning due to an increase in protein misfolding event chaperones and degradation events ubiquitous as binding by viral protein. Method: Cytotoxicity assay performed on 24 well plate micro-cultures. HeLa cells are as 2 × 10 4 cells in 100 mL in RPMI media. Created control is RPMI and solvent DMSO 0.25%. Cytotoxic Test performed by the method of calculation tryphan blue dye exclusion. Being fasted for 24 hours in the culture medium, then the cells are grown in micro-plate with media plus samples with a non-lethal concentration (LC50) of partition and fractionation Annona muricata Linn leaf. Sampling is performed at 24 hours. Each of these wells is calculated the number of living cells and made the curve of cell number and incubation time. Result: The results showed that HeLa cells are being LC50 partition of leaves Annona muricata Linn in ethyl acetate his cell death rate was higher (2000 µg/ml have 131.89%; 15.625 µg/ml have 11.37%) and in ethanol-distillate water his cell death rate was lower (2000 µg/ml have 35.80%; 15.625 µg/ml have 3.97%). Another results showed that HeLa cells are being LC50 fractionation of leaves Annona muricata Linn in chloroform his cell death rate was higher (2000 µg/ml have 91.86%; 15.625 µg/ml have 2.68%) and in ethyl acetate, his cell death rate was lower (2000 µg/ml have 23.79%; 15.625 µg/ml have 4.69%). Figure regression LC50 of HeLa cell culture treatment with partition or fractionation looks of regression test is the positive regression coefficient. Conclusion: Annona muricata Linn leaf in chloroform is a good candidate for chemoprevention escort chemotherapy for cancer causing viruses.
29 citations
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TL;DR: This paper proposes ELECTRE-Entropy for GDSS Modeling and proposes entropy weighting for each criteria under ELECTRE Method, one method in Multi-Attribute Decision Making (MADM).
Abstract: Application of Group Decision Support System (GDSS) can assist for delivering the decision of various opinions (preference) cancer detection based on the preferences of various expertise. In this paper we propose ELECTRE-Entropy for GDSS Modeling. We propose entropy weighting for each criteria under ELECTRE Method.ELECTRE is one method in Multi-Attribute Decision Making (MADM). Modeling of Group Decision Support Sytemapplyfor multi-criteria which the simulation data mutated genes that can cause cancer and solution recommended.
11 citations
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01 Jan 2011
TL;DR: In this paper, the ELECTRE method, which is a Multi-Attribute Decision Making, is a method in modeling multicriteria GDSS. In this paper, the simulation data is the mutated genes that can cause cancer.
Abstract: Detection of gene mutation is an activity that can provide contribution in the medical field. Detection of mutated gene is needed to avoid the diseases caused by them such as cancer. The detection of gene mutations can be performed by utilizing computer-based system. Group Decision Support System (GDSS) is a computer-based system that can be utilized in detecting human gene mutations that cause disease. The ELECTRE method, which is a Multi-Attribute Decision Making, is a method in modeling multicriteria GDSS. In this paper we propose implementation of model for multi-criteria GDSS in which the simulation data is the mutated genes that can cause cancer.
5 citations
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TL;DR: The higher the dose of Annona muricata Linn the higher the p53 expression thereby activates apoptosis process and the higher dose also leads to lower hsp70 expression indicating stable homeostasis of Raji cells.
Abstract: Purpose: Organic extracts of plant Annonaceae enhances apoptosis in animal cells and get the drives to reach a new homeostasis. The incidence rate of nasopharyngeal cancer in Indonesia is quite high. Protein 53Kd (p53) play a role in apoptosis process, being heat shock protein 70 (hsp70) play a role in homeostasis. The aim of this research is to identify the apoptotic effects of Annona muricata Linn leaf toward Raji cells by observing the p53 and hsp70 expression. Methods : Apoptotic assay was performed in 24 wells micro-culture plate. Raji cells were prepared as 2 × 10 4 cells in 100 ml RPMI media per well. Roswell Park Memorial Institute (RPMI) medium was created and solvent was controlled with Dimethyl Sulfoxide (DMSO) solvent 0.25. Apoptotic test was performed by calculating trypan-blue-dye exclution. The cells were then grown in micro-culture plate with media plus extract non-lethal concentration of partition and fractionation of Annona muricata Linn leaf. The sampling was performed for 24 hours. The number of living cells was calculated in each of these well and incubation time were determined. Immunohistochemical staining was done to identify the expression of p53 and hsp70. Results: The results showed that Raji cells treated with partition of Annona muricata Linn leaf in ethyl acetate solvent 133.00 % resulted in higher apoptosis. Another results showed that Raji cells treated with fractionation Annona muricata Linn leaf in ethyl acetate solvent 103.20 % resulted in higher apoptosis. The expression of p53 after treatment with fractionation Annona muricata Linn leaf was higher than before while hsp70 expression after treatment with fractionation Annona muricata Linn leaf was lower. Conclusion : The conclusion is the higher the dose of Annona muricata Linn the higher the p53 expression thereby activates apoptosis process The higher dose of Anonna muricata Linn also leads to lower hsp70 expression indicating stable homeostasis of Raji cells. ---------------------------------------------- Cite this article as: Astirin OP, Prayitno A, Artanti AN, Fitria MS, Witianingsih DA, Pranatami DA, Putra ST. The expression of p53 and hsp70 proteins after treatment with Annona muricata Linn leaf for activating apoptotic and lead to homeostasis program of Raji cells. Int J Cancer Ther Oncol 2014; 2(2):02028. DOI: 10.14319/ijcto.0202.8
4 citations