Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P04155 (pS2)
 1,234 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

We measured pS2 protein in the serum of patients with adenocarcinoma and non-adenocarcinoma types of lung cancer, non-cancerous lung lesions, and the control sera. Although the serum pS2 protein level in patients with lung adenocarcinoma was significantly higher than that in patients with other diseases, as well in control samples, it had little clinical value as a screening tumor marker because the levels in control samples showed a wide range of variation. However, analysis according to the histological subtype of lung adenocarcinoma, ordinary and bronchioloalveolar, revealed a high serum level of pS2 protein in several patients with advanced stage disease in the former, and mucus-producing goblet cell subtypes in the latter, which showed strong pS2 protein expression in tissues, whose serum levels diminished to the control level after resection. Thus, the serum levels of pS2 protein may be a useful marker of tumor burden in selected patients with lung adenocarcinoma.
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PMID:Estimation of serum level of pS2 protein in patients with lung adenocarcinoma. 869 68

In previous studies, we have shown that RNA levels of the thiamine transporter THTR2 were down-regulated in breast cancer tumors in comparison with normal tissues and that THTR2-mediated increases in thiamine uptake activity contributed to increased apoptosis after exposure to ionizing radiation. To further understand the biological effects of the alteration of THTR2 expression, we conducted a DNA microarray study of gene expression in THTR2-transfected breast cancer cells and found that, in addition to increased expression of THTR2 attributable to the transgene, three other genes were up-regulated >2.5-fold in the transfected cells: cytochrome P450 isoform CYP4B1, 15-hydroxyprostaglandin dehydrogenase (15-PGDH), and transcription factor CRIP1. In addition, two genes were confirmed to be down-regulated in THTR2-transfected cells: trefoil factor 1 (TFF1) and Rho-GDP dissociation inhibitor (RGDI). Up-regulation of 15-PGDH and CYP4B1 expression was observed in other breast cancer cell lines transfected with THTR2, and down-regulation was observed after suppression of THTR2 with siRNA vectors. To determine the role of exogenous thiamine in the expression of these genes, we analyzed THTR2-transfected breast cancer cells grown in thiamine-depleted medium by quantitative reverse transcription-PCR and showed that three of these five genes showed evidence of regulation by exogenous thiamine in a manner concordant with the effects of THTR2 overexpression. One of the genes up-regulated by THTR2 transfection was down-regulated by thiamine depletion (CYP4B1), and two genes with decreased expression in THTR2-transfected breast cancer cells were up-regulated by thiamine depletion (TFF1 and RGDI). In summary, these studies show unexpected relationships between thiamine metabolism and genes that may be involved in the oncogenesis of breast and lung cancer.
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PMID:Thiamine transporter gene expression and exogenous thiamine modulate the expression of genes involved in drug and prostaglandin metabolism in breast cancer cells. 1532 74

Lung cancer is the most common cause of cancer-related deaths in the world. The trefoil factor (TFF) family is composed of three thermostable, and protease-resistant proteins, named TFF1, TFF2 and TFF3. TFF protein levels have been found to be related to the development of various types of cancer. However, it is still unclear whether TFF proteins are differentially expressed in the serum of different histological subtypes of lung cancer compared to healthy individuals. In this study, we investigated the levels of TFF proteins in serum and lung tissues of 130 lung cancer patients (58 squamous cell lung carcinoma cases, 43 adenocarcinoma cases and 29 SCLC cases) and 60 healthy individuals. It was found that TFF1 and TFF2 have similar or slightly higher levels in these three subtypes of lung cancer compared to healthy individuals, while TFF3 levels were significantly higher in the examined lung cancer cases compared to healthy individuals. Immunoblot analyses of TFF1, TFF2 and TFF3 indicated that lung cancer tissues and lung cancer cell lines have a higher expression of the TFF3 protein, but not of TFF1 or TFF2 proteins, compared to tissues from healthy individuals or from the normal cell line. Quantitative RT-PCR analysis indicated higher levels of TFF3, but not TFF1 and TFF2, transcripts in lung cancer tissues or cell lines. These results show increased TFF3 levels in serum and lung tissues, suggesting that TFF3 may serve as a promising, easily detected biomarker of lung cancer.
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PMID:Increased trefoil factor 3 levels in the serum of patients with three major histological subtypes of lung cancer. 2224 23

Biomarkers that facilitate prediction of disease progression in lung cancer patients might be clinically valuable in optimizing individualized therapy. In this study, the ability of the DNA methylation biomarkers PITX2 and SHOX2 to predict disease outcome in lung cancer patients has been evaluated. Quantitative, methylation-specific (HeavyMethyl), real-time polymerase chain reaction assays were used to measure DNA methylation of PITX2 and SHOX2 in bisulfite-converted DNA from formalin-fixed, paraffin-embedded tissues from 474 non-small-cell lung cancer patients. In univariate Cox Proportional Hazard analysis, high methylation of SHOX2 and PITX2 was a significant predictor of progression-free survival [SHOX2: n=465, hazard ratio (HR)=1.395 (1.130 to 1.721), P=0.002; PITX2: n=445, HR=1.312 (1.059 to 1.625), P=0.013]. Patients with low methylation of either PITX2 and/or SHOX2 (n=319) showed a significantly higher risk of disease progression as compared with patients with higher methylation of both genes [n=126; HR=1.555 (1.210 to 1.999), P=0.001]. This was particularly true for the subgroup of patients receiving no adjuvant radiotherapy or chemotherapy [n=258, HR=1.838 (1.252 to 2.698), P=0.002]. In multivariate analysis, both biomarkers added significant independent prognostic information to pT, pN, pM, and grade. Another interesting finding of this study was that SHOX2 and PITX2 DNA methylation was shown to be inversely correlated with TTF1 (also known as NKX2-1) expression (PITX2: P=0.018, SHOX2: P<0.001). TFF1 expression was previously found to be associated with improved survival in the same patient cohort. DNA methylation of PITX2 and SHOX2 is an independent prognostic biomarker for disease progression in non-small-cell lung cancer patients.
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PMID:DNA methylation of the homeobox genes PITX2 and SHOX2 predicts outcome in non-small-cell lung cancer patients. 2255 92

Risk assessment and treatment choice remains a challenge in early non-small-cell lung cancer (NSCLC). The aim of this study was to identify novel genes involved in the risk of early relapse (ER) compared to no relapse (NR) in resected lung adenocarcinoma (AD) patients using a combination of high throughput technology and computational analysis. We identified 18 patients (n.13 NR and n.5 ER) with stage I AD. Frozen samples of patients in ER, NR and corresponding normal lung (NL) were subjected to Microarray technology and quantitative-PCR (Q-PCR). A gene network computational analysis was performed to select predictive genes. An independent set of 79 ADs stage I samples was used to validate selected genes by Q-PCR.From microarray analysis we selected 50 genes, using the fold change ratio of ER versus NR. They were validated both in pool and individually in patient samples (ER and NR) by Q-PCR. Fourteen increased and 25 decreased genes showed a concordance between two methods. They were used to perform a computational gene network analysis that identified 4 increased (HOXA10, CLCA2, AKR1B10, FABP3) and 6 decreased (SCGB1A1, PGC, TFF1, PSCA, SPRR1B and PRSS1) genes. Moreover, in an independent dataset of ADs samples, we showed that both high FABP3 expression and low SCGB1A1 expression was associated with a worse disease-free survival (DFS).Our results indicate that it is possible to define, through gene expression and computational analysis, a characteristic gene profiling of patients with an increased risk of relapse that may become a tool for patient selection for adjuvant therapy.
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PMID:Gene identification for risk of relapse in stage I lung adenocarcinoma patients: a combined methodology of gene expression profiling and computational gene network analysis. 2708