Gene expression profiling of in vitro radiation resistance in cervical carcinoma: A feasibility study

Tewari, Devansu; Monk, Bradley J.; Al-Ghazi, M; Parker, Ricardo J.; Heck, Johannes; Burger, Robert A.; Fruehauf, John P.

doi:10.1016/j.ygyno.2005.05.043

Cited by 30 publications

(26 citation statements)

References 14 publications

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“…However, the accurate molecular mechanisms underlying their roles remain unclear. Several reports demonstrated that numerous tumor suppressor genes and oncogenes are associated with radiosensitivity (27)(28)(29)(30)(31)(32)(33). MIIP was first identified in a yeast two-hybrid screen for proteins that interact and inhibit insulin-like growth factor binding protein 2 (6).…”

Section: Discussionmentioning

confidence: 99%

MIIP gene expression is associated with radiosensitivity in human nasopharyngeal carcinoma cells

et al. 2018

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Abstract. The present study aims to investigate the radiosensitization effect of the migration and invasion inhibitory protein (MIIP) gene on nasopharyngeal carcinoma (NPC) cells. The MIIP gene was transfected into NPC 5-8F and CNE2 cells. The level of MIIP was analyzed by quantitative reverse transcription-polymerase chain reaction analysis and western blot. The changes in radiosensitivity of the cells were analyzed by colony formation assay. The changes in cell apoptosis and cycle distribution following irradiation were detected by flow cytometry. The expression of BCL2 associated X, apoptosis regulator/B-cell lymphoma 2 was evaluated using western blot. DNA damage was analyzed by counting γ-H2AX foci. The expression levels of γ-H2AX were evaluated by immunofluorescence and western blot. In a previous study by the authors, the results indicated that the expression of MIIP gene evidently increased in MIIP-transfected 5-8F (5-8F OE) and MIIP-transfected CNE2 (CNE2 OE) cells compared with the parental or negative control cells. In the present study, the survival rate of 5-8F OE and CNE2 OE cells markedly decreased following irradiation (0, 2, 4, 6 and 8 Gy) compared with the negative control (5-8F NC and CNE2 NC) and the untreated (5-8F and CNE2) groups. The expression of MIIP was able to increase apoptosis, which resulted in G2/M cell cycle arrest and DNA damage repair was attenuated in 5-8F and CNE2 cells following irradiation as measured by the accumulation of γ-H2AX. It was indicated that MIIP expression is associated with the radiosensitivity of NPC cells and has a significant role in regulating cell radiosensitivity.

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Section: Discussionmentioning

confidence: 99%

MIIP gene expression is associated with radiosensitivity in human nasopharyngeal carcinoma cells

et al. 2018

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“…There have been many reports on the molecular pattern analysis using microarray to understand the chemoand radio-resistance in cervical cancer (Achary et al, 2000;Tewari et al, 2005;Wong et al, 2006), rectal cancer (Kim et al, 2007) and esophageal cancer (Fukuda et al, 2004). Most of the studies are to identify differentially expressed genes in patients with different clinical outcomes, which can be applied to the evaluation of prognosis more accurately.…”

Section: Introductionmentioning

confidence: 99%

Differential Expressions of Apoptosis-related Genes in Lung Cancer Cell Lines Determine the Responsiveness to Ionizing Radiation

Lee¹,

Choi²,

Lim³

et al. 2008

Genomics & Informatics

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Radiotherapy would be the choice of treatment for human cancers, because of high cost-effectiveness. However, a certain population of patients shows a resistance to radiotherapy and recurrence. In an effort to increase the efficacy of radiotherapy, many efforts were driven to find the genes causing the unresponsiveness to ionizing radiation. In this paper, we compared the gene expression profiles of two lung cancer cell lines, H460 and H1299, which showed differential responses to ionizing radiations. Each cell were irradiated at 2 Gy, and harvested after 0, 2, 4, 8, 12 and 24 hours to examine the expressions. Two-way ANOVA analysis on time-series experiments of two cells could select 2863 genes differentially expressed upon ionizing radiation among 32,321 genes in microarray (p＜0.05). We classified these genes into 21 clusters by SOM clustering according to the interaction between cell types and time. Two SOM clusters were enriched with apoptosis-related genes in pathway analysis. One cluster contained higher levels of phosphatidyl inositol 3-phosphate kinase (PI3K) subunits in H1299, radio-resistant cells than H460, radiosensitive cells. TRAIL receptors were expressed in H460 cells while the decoy receptor for TRAIL was expressed in H1299 cells. From these results, we could characterize the differential responsiveness to ionizing radiation according to their differential expressions of apoptosis-related genes, which might be the candidates to increase the power of radiotherapy.

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“…The Medline database was used by entering all possible combinations from one of the following key words; 'radiosensitivity/radiosensitive/radioresistant/radiation/ radiotherapy,' with 'microarray'. these analyses are uterine cervical cancer (4 studies), head and neck cancer (3 studies), colorectal cancer (2 studies), breast cancer (1 study), esophageal cancer (1 study), pancreatic cancer (1 study), lung cancer (1 study), glioblastoma (1 study), hepatocellular carcinoma (1 study) and choroidal melanoma (1 study) (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27).…”

Section: Introductionmentioning

confidence: 99%

“…In uterine cervical cancer, Tewari et al conducted a feasibility study of integrating an in vitro chemo-radiation response assay with a gene microarray system to investigate the molecular patterns of expression that contribute to radiation resistance in uterine cervical caner (15). Viable primary untreated cervical cancer specimens were obtained and exposed to γ irradiation at a dose of 3 Gy.…”

Section: Introductionmentioning

confidence: 99%

Predicting the tumor response to radiotherapy using microarray analysis (Review)

Ogawa¹,

Murayama²,

Mori³

2007

Oncol Rep

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Abstract. Predicting the tumor response to radiotherapy is one of the major goals of human cancer treatment. Identification of the genes that are differentially expressed between radiosensitive and radioresistant cancers by global gene analysis may provide new insights into the mechanisms underlying clinical radioresistance and improve the efficacy of radiotherapy. In this study, we reviewed the published reports identifying sets of discriminating genes using microarray analysis that can be used for characterization and the prediction of response to radiotherapy in human cancers. These reports indicate that many of the identified genes were associated with DNA-repair, apoptosis, growth factor, signal transduction, cell cycle and cell adhesion. Several genes were found to be predictors of the radiation response with various cancers and certain sets of identified genes were also found to predict the radiation response by using clustering analysis. Global gene expression profiling of responders and nonresponders can be useful in predicting responses to radiotherapy and may also provide insights into the development of individualized therapies and novel therapeutic targets. Contents1. Introduction 2. Microarray analysis comparing radiosensitive and radioresistant cancer samples and cancer cell lines 3. Summary of the identified genes from cancer cell lines investigated by microarray IntroductionRadiotherapy is one of the major treatments for patients with various cancers. The general rationale for radiotherapy is based on the findings that radiation can inhibit cell proliferation or induce apoptotic cell death in vitro and inhibit tumor growth in vivo (1). However, the tumor response to radiotherapy sometimes differs among individual tumors even with the same histological field, and the lack of knowledge regarding the determinants of response has handicapped the development of predictive assays and the development of novel treatment strategies. Therefore, identification of the determinants of the tumor response to radiation has long been a goal of radiation oncologists and biologists. Recently, an association between radioresistance and the expression of several genes was observed, with candidate genes, such as p53 (2), ras (3), raf-1 (4), bcl-2 (5) and survivin (6). Furthermore, cancer stem cells have emerged as a contributor to radioresistance through the preferential activation of the DNA damage checkpoint response and an increase in DNA repair capacity (7). Although such discoveries have helped develop a partial understanding of the molecular mechanisms responsible for cellular radiosensitivity, the entire process remains to be elucidated. The advent of microarray gene expression technology permits simultaneous analysis of the expression levels of thousands of genes (8-10). Therefore, a study on molecular genetic events related to radiosensitivity can be conducted. This research can lead to the identification of gene regulatory pathways that result in the development of resistance to therapeutic procedures. To d...

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Gene expression profiling of in vitro radiation resistance in cervical carcinoma: A feasibility study

Cited by 30 publications

References 14 publications

MIIP gene expression is associated with radiosensitivity in human nasopharyngeal carcinoma cells

MIIP gene expression is associated with radiosensitivity in human nasopharyngeal carcinoma cells

Differential Expressions of Apoptosis-related Genes in Lung Cancer Cell Lines Determine the Responsiveness to Ionizing Radiation

Predicting the tumor response to radiotherapy using microarray analysis (Review)

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