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Adsorption processes are responsible for detection of cancer biomarkers in biosensors (and immunosensors), which can be captured with various principles of detection. In this study, we used a biosensor made with nanostructured films of polypyrrole and p53 antibodies, and image analysis of scanning electron microscopy data made it possible to correlate morphological changes of the biosensor with the concentration of cells containing the cancer biomarker p53. The selectivity of the biosensor was proven by distinguishing images obtained with exposure of the biosensor to cells containing the biomarker from those acquired with cells that did not contain it. Detection was confirmed with cyclic voltammetry measurements, while the adsorption of the p53 biomarker was probed with polarization-modulated infrared reflection absorption (PM-IRRAS) and a quartz crystal microbalance (QCM). Adsorption is described using the Langmuir-Freundlich model, with saturation taking place at a concentration of 100 Ucells/mL. Taken together, our results point to novel ways to detect biomarkers or any type of analyte for which detection is based on adsorption as is the case of the majority of biosensors.

Basaloid squamous cell carcinoma (BSCC), a variant of squamous cell carcinoma (SCC), is a rare and aggressive epithelial malignancy which has been reported in only 0.1-11 % of primary esophageal carcinomas. In this study, a comparison of clinicopathological features and protein expression between esophageal BSCC (EBSCC) and conventional esophageal SCC (ESCC) cases from Brazil was performed in order to find factors that can be relevant to better characterize EBSCC. The expression of HER2, epidermal growth factor receptor (EGFR), Ki-67, and cyclins (A, B1, and D1) in 111 cases (95 ESCC and 16 EBSCC) was evaluated by immunohistochemistry using tissue microarray. When the clinicopathological data were compared, no significant difference was found between the two histological types. Although the difference is not significant (p = 0.055), the EGFR expression was more frequent in the conventional ESCC than in the EBSCC group. Our results indicate that the clinicopathological profiles of conventional ESCC and EBSCC are similar and provide no indicators for differences in prognosis between these two groups.

Background and Aim: The identification of gastric carcinomas (GC) has traditionally been based on histomorphology. Recently, DNA microarrays have successfully been used to identify tumors through clustering of the expression profiles. Random forest clustering is widely used for tissue microarrays and other immunohistochemical data, because it handles highly-skewed tumor marker expressions well, and weighs the contribution of each marker according to its relatedness with other tumor markers. In the present study, we identified biologically- and clinically-meaningful groups of GC by hierarchical clustering analysis of immunohistochemical protein expression., Methods: We selected 28 proteins (p16, p27, p21, cyclin D1, cyclin A, cyclin B1, pRb, p53, c-met, c-erbB-2, vascular endothelial growth factor, transforming growth factor [TGF]-βI, TGF-βII, MutS homolog-2, bcl-2, bax, bak, bcl-x, adenomatous polyposis coli, clathrin, E-cadherin, β-catenin, mucin (MUC)1, MUC2, MUC5AC, MUC6, matrix metalloproteinase [MMP]-2, and MMP-9) to be investigated by immunohistochemistry in 482 GC. The analyses of the data were done using a random forest-clustering method., Results: Proteins related to cell cycle, growth factor, cell motility, cell adhesion, apoptosis, and matrix remodeling were highly expressed in GC. We identified protein expressions associated with poor survival in diffuse-type GC., Conclusions: Based on the expression analysis of 28 proteins, we identified two groups of GC that could not be explained by any clinicopathological variables, and a subgroup of long-surviving diffuse-type GC patients with a distinct molecular profile. These results provide not only a new molecular basis for understanding the biological properties of GC, but also better prediction of survival than the classic pathological grouping., (© 2011 Journal of Gastroenterology and Hepatology Foundation and Blackwell Publishing Asia Pty Ltd.)

An increasing number of studies have shown altered expression of secreted protein acidic and rich in cysteine (SPARC) and N-myc down-regulated gene (NDRG1) in several malignancies, including breast carcinoma; however, the role of these potential biomarkers in tumor development and progression is controversial. In this study, NDRG1 and SPARC protein expression was evaluated by immunohistochemistry on tissue microarrays containing breast tumor specimens from patients with 10 years of follow-up. NDRG1 and SPARC protein expression was determined in 596 patients along with other prognostic markers, such as ER, PR, and HER2. The status of NDRG1 and SPARC protein expression was correlated with prognostic variables and patient clinical outcome. Immunostaining revealed that 272 of the 596 cases (45.6%) were positive for NDRG1 and 431 (72.3%) were positive for SPARC. Statistically significant differences were found between the presence of SPARC and NDRG1 protein expression and standard clinicopathological variables. Kaplan-Meier analysis showed that NDRG1 positivity was directly associated with shorter disease-free survival (DFS, P < 0.001) and overall survival (OS, P < 0.001). In contrast, patients expressing low levels of SPARC protein had worse DFS (P = 0.001) and OS (P = 0.001) compared to those expressing high levels. Combined analysis of the two markers indicated that DFS (P < 0.001) and OS rates (P < 0.001) were lowest for patients with NDRG1-positive and SPARC-negative tumors. Furthermore, NDRG1 over-expression and SPARC down-regulation correlated with poor prognosis in patients with luminal A or triple-negative subtype breast cancer. On multivariate analysis using a Cox proportional hazards model, NDRG1 and SPARC protein expression were independent prognostic factors for both DFS and OS of breast cancer patients. These data indicate that NDRG1 over-expression and SPARC down-regulation could play important roles in breast cancer progression and serve as useful biomarkers to better define breast cancer prognosis.

Background: Young patients are thought to develop gastric carcinomas with a molecular genetic profile that is distinct from that of gastric carcinomas occurring at a later age. The aim of this study was to compare the clinicopathological features and expression patterns of the markers E-cadherin and beta-catenin, and mucins (MUC1, MUC2, MUC5AC, and MUC6) in young and older patients., Methods: The clinicopathological features and overall survival data of 62 young patients (age 40 years). A tissue microarray method and immunohistochemistry were used in order to analyze marker expression in paraffin-embedded tissue blocks obtained from both groups., Results: The young group presented a higher percentage of diffuse-type tumors in comparison to the older group (P<0.01). The rates of positivity for E-cadherin and beta-catenin membranous expression patterns and mucin (MUC2, MUC5AC and MUC6) positivity were higher in the young group (P<0.01). Although young patients showed a lower frequency of alterations in marker expression and had significantly better survival rates than the older patients, neither age nor the marker expression pattern were found to be independent prognostic factors of survival. Only stage, tumor size, and tumor location persisted as prognostic factors for patients with gastric cancer., Conclusion: Biological markers of cellular adhesion and gastric differentiation were differently expressed in young and older patients. Our findings support the hypothesis that young patients develop carcinomas with a different genetic pathway compared to the pathway of tumors occurring at a later age, and we suggest further investigations to assess the prognostic relevance of the markers to specific subgroups.

In a previous study, using differential display reverse transcriptase-PCR (DDRT-PCR) we showed that down-regulation of the PHLDA1 (pleckstrin homology-like domain, family A, member 1; also named TDAG51) mRNA was down-regulated in breast tumors compared with normal breast tissue. The present study was conducted to determine the expression pattern and predictive prognostic value of PHLDA1 in breast cancer. A series of 720 primary invasive breast tumors were examined for PHLDA1 expression. PHLDA1 mRNA expression was determined in 74 breast tumors using quantitative Real Time PCR analysis (qPCR). PHLDA1 protein expression was evaluated by immunohistochemistry (IHC) using Tissue Microarrays (TMA) containing 699 primary invasive breast tumors. Reduced PHLDA1 mRNA expression was identified in 72% (53/74) of the primary breast tumors analyzed. Seventy-three percent (512/699) of cases analyzed showed negative PHLDA1 protein expression. Down-regulation of PHLDA1 protein was a strong predictor of poor prognosis for breast cancer patients. Breast cancer patients with tumors that were negative for PHLDA1 protein expression had shorter disease free survival (P < 0.001) and overall survival (P < 0.001) than patients with tumors that were positive for PHLDA1 protein expression. In addition patients with tumors exhibiting reduced PHLDA1 expression and paucity for ER had the worse outcome (P < 0.001). Multivariate analysis indicated that PHLDA1 protein expression is an independent prognostic factor of patient survival. To our knowledge, the expression pattern of PHLDA1 in breast cancer has not previously been investigated. Our results provide strong evidence that reduced PHLDA1 expression is important in breast cancer progression and could serve as useful prognostic marker of disease outcome.