Upregulation of L-Plastin Gene by Testosterone in Breast and Prostate Cancer Cells: Identification of Three Cooperative Androgen Receptor-Binding Sequences

Lin, Ching Shwun; Lau, Andy T. Y.; Yeh, Che Chung; Chang, Chia Hui; Lue, Tom F.

doi:10.1089/104454900314654

Cited by 28 publications

(25 citation statements)

References 20 publications

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“…LCP1 is up-regulated in prostate cancer (Lin et al, 2000) and has been suggested to be a potential marker for metastasis in colorectal cancer (Otsuka et al, 2001). Bladder cancer tissue microarray analysis also indicates that LCP1 expression is significantly correlated with tumor grade (Harris et al, 2005(Harris et al, , 2008.…”

Section: Discussionmentioning

confidence: 99%

Gene expression profile and enrichment pathways in different stages of bladder cancer

Fang

Zang²,

Chen³

et al. 2013

Genet. Mol. Res.

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ABSTRACT. Bladder cancer is a highly heterogeneous neoplasm. We examined the gene expression profile in 3 bladder cancer stages (Ta, T1, T2) using expression microarray analysis of 40 bladder tumors. Differentially expressed genes were found by the t-test, with <0.005 as the significance threshold. KEGG pathway-enrichment analysis was used to study the signaling pathways of the genes. We found 36 genes that could be used as molecular markers for predicting the transition from Ta-T1 to T1-T2. Among these, 11 overlapped between Ta-T1 and T1-T2 stages. Six genes were downregulated at the Ta-T1 stage, but were up-regulated at the T1-T2 stage (ANXA5, ATP6V1B2, CTGF, GEM, IL13RA1, and LCP1); 5 genes were up-regulated at the Ta-T1 stage, but down-regulated at the T1-T2 stage (ACPP, GNL1, RIPK1, RAPGEF3, and ZER1). Another 25 genes changed relative expression levels at the T1-T2 stage. These genes (including COL1A1, COL1A2, FN1, ITGA5, LGALS1, SPP1, VIM, POSTN, and COL18A1) may be involved in bladder cancer progression by affecting extracellular matrix-receptor interaction and focal adhesion. The cytokine-cytokine receptor interaction, neuroactive ligandreceptor interaction, and calcium-signaling pathway were associated with bladder cancer progression at both the Ta-T1 and T1-T2 stages.

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Section: Discussionmentioning

confidence: 99%

Gene expression profile and enrichment pathways in different stages of bladder cancer

Fang

Zang²,

Chen³

et al. 2013

Genet. Mol. Res.

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“…Among these are several proteins potentially implicated in breast cancer such as L-plastin, STAT1, haptoglobin, and thymidine phosphorylase. 5,7,14,29 Proteins that are known to be involved in the regulation of the cytoskeleton are also prominent in this list. These include L-plastin, moesin, gelsolin, and talin.…”

Section: Size-resolved Differential Profiling Of Tumor Versus Clinicamentioning

confidence: 99%

Proteome Profiling of Breast Tumors by Gel Electrophoresis and Nanoscale Electrospray Ionization Mass Spectrometry

et al. 2008

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We have conducted proteome-wide analysis of fresh surgery specimens derived from breast cancer patients, using an approach that integrates size-based intact protein fractionation, nanoscale liquid separation of peptides, electrospray ion trap mass spectrometry, and bioinformatics. Through this approach, we have acquired a large amount of peptide fragmentation spectra from size-resolved fractions of the proteomes of several breast tumors, tissue peripheral to the tumor, and samples from patients undergoing noncancer surgery. Label-free quantitation was used to generate protein abundance maps for each proteome and perform comparative analyses. The mass spectrometry data revealed distinct qualitative and quantitative patterns distinguishing the tumors from healthy tissue as well as differences between metastatic and non-metastatic human breast cancers including many established and potential novel candidate protein biomarkers. Selected proteins were evaluated by Western blotting using tumors grouped according to histological grade, size, and receptor expression but differing in nodal status. Immunohistochemical analysis of a wide panel of breast tumors was conducted to assess expression in different types of breast cancers and the cellular distribution of the candidate proteins. These experiments provided further insights and an independent validation of the data obtained by mass spectrometry and revealed the potential of this approach for establishing multimodal markers for early metastasis, therapy outcomes, prognosis, and diagnosis in the future.

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“…42 The presence of PLS3 could possibly interfere with that function. Conversely, aberrant expression of LCP1 has been reported in many cancers, including breast, prostate, 43 and colon cancer, 44 tissues that normally express PLS3, suggesting that coexpression may not be an uncommon feature of malignant cells.…”

Section: Significance Of the Selected Genesmentioning

confidence: 99%

Quantitative PCR on 5 genes reliably identifies CTCL patients with 5% to 99% circulating tumor cells with 90% accuracy

Nebozhyn

Loboda

Kari

et al. 2006

Blood

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We previously identified a small number of genes using cDNA arrays that accurately diagnosed patients with Sé zary Syndrome (SS), the erythrodermic and leukemic form of cutaneous T-cell lymphoma (CTCL). We now report the development of a quantitative real-time polymerase chain reaction (qRT-PCR) assay that uses expression values for just 5 of those genes: STAT4, GATA-3, PLS3, CD1D, and TRAIL. qRT-PCR data from peripheral blood mononuclear cells (PBMCs) accurately classified 88% of 17 patients with high blood tumor burden and 100% of 12 healthy controls in the training set using Fisher linear discriminant analysis (FLDA). The same 5 genes were then assayed on 56 new samples from 49 SS patients with blood tumor burdens of 5% to 99% and 69 samples from 65 new healthy controls. The average accuracy over 1000 resamplings was 90% using FLDA and 88% using support vector machine (SVM). We also tested the classifier on 14 samples from patients with CTCL with no detectable peripheral involvement and 3 patients with atopic dermatitis with severe erythroderma. The accuracy was 100% in identifying these samples as non-SS patients. These results are the first to demonstrate that gene expression profiling by quantitative PCR on a selected number of critical genes can be employed to molecularly diagnosis SS. (Blood. 2006;107:3189-3196)

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Upregulation of L-Plastin Gene by Testosterone in Breast and Prostate Cancer Cells: Identification of Three Cooperative Androgen Receptor-Binding Sequences

Cited by 28 publications

References 20 publications

Gene expression profile and enrichment pathways in different stages of bladder cancer

Gene expression profile and enrichment pathways in different stages of bladder cancer

Proteome Profiling of Breast Tumors by Gel Electrophoresis and Nanoscale Electrospray Ionization Mass Spectrometry

Quantitative PCR on 5 genes reliably identifies CTCL patients with 5% to 99% circulating tumor cells with 90% accuracy

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