Advantages and limitations of microarray technology in human cancer

Russo, Giuseppe; Zegar, Charles; Giordano, Antonio

doi:10.1038/sj.onc.1206865

Cited by 254 publications

(156 citation statements)

References 112 publications

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“…The two main exceptions are cell lines and tumors, in which one can have more than enough cells of the same type for MA analysis. Not surprisingly, these two are the main fields of successful MA studies (21)(22)(23). However, tumors only represent a narrow segment of pathological processes in humans, and immortalized cell lines have been repeatedly shown to differ significantly from in vivo cells, even the ones from which they originated (24,25).…”

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confidence: 99%

Getting the right cells to the array: Gene expression microarray analysis of cell mixtures and sorted cells

et al. 2004

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Background: Most biological samples are cell mixtures. Some basic questions are still unanswered about analyzing these heterogeneous samples using gene expression microarray technology (MAT). How meaningful is a cell mixture's overall gene expression profile (GEP)? Is it necessary to purify the cells of interest before microarray analysis, and how much purity is needed? How much does the purification itself distort the GEP, and how well can the GEP of a small cell subset be recovered? Methods: Model cell mixtures with different cell ratios were analyzed by both spotted and Affymetrix MAT. GEP distortion during cell purification and GEPs of purified cells were studied. CD34ϩ cord blood cells were purified and analyzed by MAT. Results: GEPs for mixed cell populations were found to mirror the cell ratios in the mixture. Over 75% pure

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confidence: 99%

Getting the right cells to the array: Gene expression microarray analysis of cell mixtures and sorted cells

et al. 2004

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“…The signal is detected, quantified, integrated and normalized with software and reflect the gene expression profile or molecular portrait of given biological sample. However, this molecular portrait is determined by the number and type of probes spotted on a slide, thus in traditional microarrays, only molecules that are searched, can be found [46]. there are no amplification methods available, thus a high requirement on detection step is taken and low-abundant proteins may be misrepresented [47].…”

Section: Introduction To Microarray Technologymentioning

confidence: 99%

Microarray analysis of metallothioneins in human diseases—A review

Křížková

Kępińska

Emri

et al. 2016

Journal of Pharmaceutical and Biomedical Analysis

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. 1 Microarray analysis of metallothioneins in human diseases AbstractMetallothioneins (MTs), low molecular mass cysteine-rich proteins, which are able to bind up to 20 monovalent and up to 7 divalent heavy metal ions are widely studied due to their functions in detoxification of metals, scavenging free radicals and cells protection against the oxidative stress. It was found that the loss of the protective effects of MT leads to an escalation of pathogenic processes and carcinogenesis. 3The most extensive area is MTs expression for oncological applications, where the information about gene patterns is helpful for the identification biological function, resistance to drugs and creating the correct chemotherapy. In other medical applications the effect of oxidative stress to cell lines exposed to heavy metals and hydrogen peroxide is studied as well as influence of drugs and cytokines on MTs expression and MTs expression in the adiposetissue. The precise detection of low metallothionein concentrations and its isoforms is necessary to understand the connection between quantity and isoforms of MTs to size, localization and type of cancer. This information is necessary for well-timed therapy and increase the chance to survival. Microarray chips appear as good possibility for finding all information about expression of MTs genes and isoforms not only in cancer, but also in other diseases, especially diabetes, obesity, cardiovascular diseases, ageing, osteoporosis, psychiatric disorders and as the effects of toxic drugs and pollutants, which is discussed in this review. List of abbreviations:HCC -hepatocellular carcinoma, HFD -high fat diet, MMP -matrix metalloproteinase, MT -metallothionein, MTF -metal transcription factor, MRE -metal responsive element, ROS -reactive oxygen species.

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“…[10][11][12] Characterization of gene expression profiles between NPC and nontumor nasopharyngeal epithelial tissues using a custom-made chromosome-specific cDNA microarray may facilitate the identification of a candidate tumor suppressor gene that regulates the tumorigenesis and metastasis of NPC.…”

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confidence: 99%

Lactotransferrin: A candidate tumor suppressor—Deficient expression in human nasopharyngeal carcinoma and inhibition of NPC cell proliferation by modulating the mitogen‐activated protein kinase pathway

Zhou

Zeng

Zhang

et al. 2008

Intl Journal of Cancer

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Lactotransferrin (LTF) has been shown to regulate tumorogenesis. However, little is known about the role of LTF in regulating the development of human nasopharyngeal carcinoma (NPC). The aim of our study was to investigate whether LTF could regulate the development of NPC by characterizing the pattern of LTF expression in human NPC tissues using cDNA and tissue microarrays. Loss of LTF expression was observed in a significantly higher frequency of NPC tissues compared to that in nontumor nasopharyngeal epithelial tissues. While 61.25% of NPC tissues at the T1/T2 stage were positive for LTF expression, only 40.82% of NPC at the T3/T4 stage were stained by anti-LTF. Similarly, 41.58% of NPC with local lymph node metastasis displayed LTF expression, a value significantly lower than the 46.36% in primary tumors (p < 0.05). These findings suggest that LTF may negatively regulate the development and metastasis of NPC in vivo. Furthermore, overexpression of or treatment with LTF inhibited the proliferation of NPC cells and promoted cell cycle arrest at the G 0 /G 1 phase in vitro. While LTF treatment downregulated expression of cyclin D1 and phosphorylation of retinoblastoma protein (Rb), expression of p21 and p27 in 5-8F NPC cells was enhanced. Moreover, LTF treatment modulated the mitogen-activated protein kinase (MAPK) pathway, but did not affect p53 and STAT3 expression in 5-8F NPC cells. Thus LTF is likely to be a candidate tumor suppressor and downregulates the development of NPC by inhibiting NPC proliferation through induction of cell cycle arrest and modulation of the MAPK signaling pathway. Therefore, our findings provide new insights in understanding the mechanism(s) underlying the action of LTF in regulating the development of human NPC.

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Advantages and limitations of microarray technology in human cancer

Cited by 254 publications

References 112 publications

Getting the right cells to the array: Gene expression microarray analysis of cell mixtures and sorted cells

Getting the right cells to the array: Gene expression microarray analysis of cell mixtures and sorted cells

Microarray analysis of metallothioneins in human diseases—A review

Lactotransferrin: A candidate tumor suppressor—Deficient expression in human nasopharyngeal carcinoma and inhibition of NPC cell proliferation by modulating the mitogen‐activated protein kinase pathway

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