Distinctions in gastric cancer gene expression signatures derived from laser capture microdissection versus histologic macrodissection

[1]  T. Limpaiboon,et al.  Trefoil factors: tumor progression markers and mitogens via EGFR/MAPK activation in cholangiocarcinoma. , 2011, World journal of gastroenterology.

[2]  A. Oshima,et al.  A Gene Expression Signature of Acquired Chemoresistance to Cisplatin and Fluorouracil Combination Chemotherapy in Gastric Cancer Patients , 2011, PloS one.

[3]  A. Oshima,et al.  Three-gene predictor of clinical outcome for gastric cancer patients treated with chemotherapy , 2010, The Pharmacogenomics Journal.

[4]  Misao Ohki,et al.  Krüppel‐like factor 12 plays a significant role in poorly differentiated gastric cancer progression , 2009, International journal of cancer.

[5]  F. Sotgia,et al.  An absence of stromal caveolin-1 expression predicts early tumor recurrence and poor clinical outcome in human breast cancers. , 2009, The American journal of pathology.

[6]  D. Wigle,et al.  Impact of sample acquisition and linear amplification on gene expression profiling of lung adenocarcinoma: laser capture micro-dissection cell-sampling versus bulk tissue-sampling , 2009, BMC Medical Genomics.

[7]  M. Seto,et al.  Genome‐wide analysis of DNA copy number alterations and gene expression in gastric cancer , 2008, The Journal of pathology.

[8]  Lei Guo,et al.  Cross-platform comparison of SYBR® Green real-time PCR with TaqMan PCR, microarrays and other gene expression measurement technologies evaluated in the MicroArray Quality Control (MAQC) study , 2008, BMC Genomics.

[9]  F. Pépin,et al.  Stromal gene expression predicts clinical outcome in breast cancer , 2008, Nature Medicine.

[10]  D. Postma,et al.  Microarray amplification bias: loss of 30% differentially expressed genes due to long probe – poly(A)-tail distances , 2007, BMC Genomics.

[11]  Sandra Healy,et al.  Cross platform microarray analysis for robust identification of differentially expressed genes , 2007, BMC Bioinformatics.

[12]  Yingdong Zhao,et al.  Analysis of Gene Expression Data Using BRB-Array Tools , 2007, Cancer informatics.

[13]  Mark B Gerstein,et al.  Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing , 2006, BMC Genomics.

[14]  T. Furuya,et al.  Relation of DNA ploidy to genetic aberrations detected by chromosomal CGH and FISH in gastric adenocarcinomas. , 2006, Oncology reports.

[15]  Jian-ting Cai,et al.  Expression of trefoil factors 1 and 2 in precancerous condition and gastric cancer. , 2006, World journal of gastroenterology.

[16]  Ming-Tsan Lin,et al.  Gene expression profiling of gastric cancer by microarray combined with laser capture microdissection. , 2005, World journal of gastroenterology.

[17]  J Han JM van Krieken,et al.  Macrodissection versus microdissection of rectal carcinoma: minor influence of stroma cells to tumor cell gene expression profiles , 2005, BMC Genomics.

[18]  Katrin Hoffmann,et al.  Gene expression levels assessed by oligonucleotide microarray analysis and quantitative real-time RT-PCR – how well do they correlate? , 2005, BMC Genomics.

[19]  Hidetaka Mochizuki,et al.  Screening of DNA copy‐number aberrations in gastric cancer cell lines by array‐based comparative genomic hybridization , 2005, Cancer science.

[20]  Yusuke Nakamura,et al.  Comparison of gene-expression profiles between diffuse- and intestinal-type gastric cancers using a genome-wide cDNA microarray , 2004, Oncogene.

[21]  Hong Nguyen,et al.  Differential trends in the intestinal and diffuse types of gastric carcinoma in the United States, 1973-2000: increase in the signet ring cell type. , 2004, Archives of pathology & laboratory medicine.

[22]  Il-Jin Kim,et al.  DNA microarray analysis of the correlation between gene expression patterns and acquired resistance to 5-FU/cisplatin in gastric cancer. , 2004, Biochemical and biophysical research communications.

[23]  Siew Hong Leong,et al.  A combined comparative genomic hybridization and expression microarray analysis of gastric cancer reveals novel molecular subtypes. , 2003, Cancer research.

[24]  Jun Yu,et al.  Expression of trefoil peptides (TFF1, TFF2, and TFF3) in gastric carcinomas, intestinal metaplasia, and non‐neoplastic gastric tissues , 2002, The Journal of pathology.

[25]  J. Sheu,et al.  Correlation of histologic subtypes and replication error phenotype with comparative genomic hybridization in gastric cancer , 2001, Genes, chromosomes & cancer.

[26]  J. Trent,et al.  Recurrent chromosome changes in 62 primary gastric carcinomas detected by comparative genomic hybridization. , 2000, Cancer genetics and cytogenetics.

[27]  T Takahashi,et al.  Gains, losses, and amplifications of genomic materials in primary gastric cancers analyzed by comparative genomic hybridization , 1999, Genes, chromosomes & cancer.

[28]  Yingdong Zhao,et al.  Gene Set Expression Comparison kit for BRB-ArrayTools , 2008, Bioinform..

[29]  John T. Wei,et al.  Integrative molecular concept modeling of prostate cancer progression , 2007, Nature Genetics.

[30]  P. Bejarano.  Differential Trends in the Intestinal and Diffuse Types of Gastric Carcinoma in the United States, 1973-2000: Increase in the Signet Ring Cell Type , 2006 .