ArticleWorld journal of gastroenterology2005
Gene expression profiling of gastric cancer by microarray combined with laser capture microdissection.
Article in World journal of gastroenterology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- Integrated Metabolomics and Transcriptomics Analysis of Monolayer and Neurospheres from Established Glioblastoma Cell Lines.Cancers · 2021Article
- Identification of Metastasis-Associated MicroRNAs in Metastatic Melanoma by miRNA Expression Profile and Experimental Validation.Frontiers in genetics · 2021Article
- Oncogenic Kaposi's Sarcoma-Associated Herpesvirus Upregulates Argininosuccinate Synthase 1, a Rate-Limiting Enzyme of the Citrulline-Nitric Oxide Cycle, To Activate the STAT3 Pathway and Promote Growth Transformation.Journal of virology · 2019Article
- Identification of key genes associated with gastric cancer based on DNA microarray data.Oncology letters · 2016Article
- Argininosuccinate synthetase 1 suppression and arginine restriction inhibit cell migration in gastric cancer cell lines.Scientific reports · 2015Article
- Increased expression of argininosuccinate synthetase protein predicts poor prognosis in human gastric cancer.Oncology reports · 2015Article
- Article
- Distinctions in gastric cancer gene expression signatures derived from laser capture microdissection versus histologic macrodissection.BMC medical genomics · 2011Article
- Over-expression of Ephb4 is associated with carcinogenesis of gastric cancer.Digestive diseases and sciences · 2011Article
- δ-Tocotrienol and quercetin reduce serum levels of nitric oxide and lipid parameters in female chickens.Lipids in health and disease · 2011Article
- Identification and validation of genes involved in gastric tumorigenesis.Cancer cell international · 2010Article
- RAB26 and RAB3D are direct transcriptional targets of MIST1 that regulate exocrine granule maturation.Molecular and cellular biology · 2010Article
- Trefoil factor-3 expression in human colon cancer liver metastasis.Clinical & experimental metastasis · 2009Article
- Defining disease with laser precision: laser capture microdissection in gastroenterology.Gastroenterology · 2008Article
- Simultaneous isolation of DNA and RNA from the same cell population obtained by laser capture microdissection for genome and transcriptome profiling.The Journal of molecular diagnostics : JMD · 2008Article
- Characterization of a method for profiling gene expression in cells recovered from intact human prostate tissue using RNA linear amplification.Prostate cancer and prostatic diseases · 2006Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo examine the gene expression profile of gastric cancer (GC) by combination of laser capture microdissection (LCM) and microarray and to correlate the profiling with histological subtypes.
methodsUsing LCM, pure cancer cells were procured from 45 cancerous tissues. After procurement of about 5000 cells, total RNA was extracted and the quality of RNA was determined before further amplification and hybridization. One microgram of amplified RNA was converted to cDNA and hybridized to cDNA microarray.
resultsAmong 45 cases, only 21 were qualified for their RNAs. A total of 62 arrays were performed. These included 42 arrays for cancer (21 cases with dye-swab duplication) and 20 arrays for non-tumorous cells (10 cases with dye-swab duplication) with universal reference. Analyzed data showed 504 genes were differentially expressed and could distinguish cancerous and non-cancerous groups with more than 99% accuracy. Of the 504 genes, trefoil factors 1, 2, and 3 were in the list and their expression patterns were consistent with previous reports. Immunohistochemical staining of trefoil factor 1 was also consistent with the array data. Analyses of the tumor group with these 504 genes showed that there were 3 subgroups of GC that did not correspond to any current classification system, including Lauren's classification.
conclusionBy using LCM, linear amplification of RNA, and cDNA microarray, we have identified a panel of genes that have the power to discriminate between GC and non-cancer groups. The new molecular classification and the identified novel genes in gastric carcinogenesis deserve further investigations to elucidate their clinicopathological significance.
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