A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability

Background  

Large discrepancies in signature composition and outcome concordance have been observed between different microarray breast cancer expression profiling studies. This is often ascribed to differences in array platform as well as biological variability. We conjecture that other reasons for the observed discrepancies are the measurement error associated with each feature and the choice of preprocessing method. Microarray data are known to be subject to technical variation and the confidence intervals around individual point estimates of expression levels can be wide. Furthermore, the estimated expression values also vary depending on the selected preprocessing scheme. In microarray breast cancer classification studies, however, these two forms of feature variability are almost always ignored and hence their exact role is unclear.     

Purification and characterization of the coliphage N4-coded single-stranded DNA binding protein

We have purified and characterized a single-stranded DNA binding protein (N4 SSB) induced after coliphage N4 infection. It has a monomeric molecular weight of 31,000 and contains 10 tyrosine and 1-2 tryptophan amino acid residues. Its fluorescence spectrum is dominated by the tyrosine residues, and their fluorescence is quenched when the protein binds single-stranded DNA. Fluorescence quenching was used as an assay to quantitate binding of the protein to single-stranded nucleotides. The N4 single-stranded DNA binding protein binds cooperatively to single-stranded nucleic acids and binds single-stranded DNA more tightly than RNA. The binding involves displacement of cations from the DNA and anions from the protein. The apparent binding affinity is very salt-dependent, decreasing as much as 1,000-fold for a 10-fold increase in NaCl concentration. The degree of cooperativity (omega) is relatively independent of salt concentration. At 37 degrees C in 0.22 M NaCl, the protein has an intrinsic binding constant for M13 viral DNA of 3.8 x 10(4) M-1, a cooperativity factor omega of 300, and binding site size of 11 nucleotides per monomer. The protein lowers the melting point of poly(dA.dT).poly(dA-dT) by greater than 60 degrees C but cannot lower the melting transition or assist in the renaturation of natural DNA. N4 single-stranded DNA binding protein enhances the rate of DNA synthesis catalyzed by the N4 DNA polymerase by increasing the processivity of the N4 DNA polymerase and melting out hairpin structures that block polymerization.     

Clinical value of a mucin-like carcinoma-associated antigen (MCA) in patients with carcinomas of the kidney and the urinary collecting system.

A new tumor marker, mucin-like carcinoma-associated antigen (MCA), was evaluated in thirty-four patients with renal cell carcinomas and forty patients with carcinomas of the urinary collecting system. In the first group, specificity was 95%, sensitivity 65%, the predictive value for positive diagnosis was 94%, and for negative diagnosis 72%. In the second group specificity was 83%, sensitivity 71%, predictive value for positive diagnosis was 63%, and for negative diagnosis 88%. Receiver operating characteristic curves indicated that the maximum amount of information was greater in patients of the first group than the second (0.379 vs. 0.332 bits). In the light of these data, the MCA test can be recommended for assessing metastatic spread in patients particularly with renal cell carcinomas.     

Duodenal mucosal risk markers in patients with familial adenomatous polyposis: effects of celecoxib/ursodeoxycholic acid co-treatment and comparison with patient controls

Background

Familial adenomatous polyposis (FAP) is a disease characterized by the development of hundreds to thousands of adenomatous polyps in the colorectum early in life. Virtually all patients with FAP will develop colorectal cancer before the age of 40 to 50 years, unless prophylactic colectomy is performed, which significantly improves their prognosis. The mortality pattern has changed and duodenal cancer now is one of the main cancer-related causes of death in these patients. Practically all patients with FAP develop premalignant duodenal adenomas, which may develop to duodenal cancer in approximately 3-7% of patients. Duodenal cancer in patients with FAP has a poor prognosis. The clinical challenge is to identify patients at high-risk for duodenal carcinoma. Chemoprevention would be desirable to avoid duodenectomy. The main goal of this study is to identify risk markers in normal duodenal mucosa of patients with FAP, that could help identify patients at increased risk for malignant transformation.

Methods

Messenger RNA (mRNA) levels of glutathione S-transferase A1 (GSTA1), glutathione S-transferase P1 (GSTP1), KIAA1199, E-cadherin, peroxisome proliferative activated receptor δ (PPARδ), caspase-3, cyclin D1, β-catenin, and cyclooxygenase-2 (COX-2) were measured in duodenal mucosa, using the QuantiGene 2.0 Plex assay. Levels in normal appearing mucosa of patients with FAP (n?=?37) were compared with levels in non-FAP patient controls (n?=?16). In addition, levels before and after treatment with either celecoxib & ursodeoxycholic acid (UDCA, n?=?14) or celecoxib & placebo (n?=?13) were evaluated in patients with FAP.

Results

mRNA levels of glutathione S-transferase A1 (28.16% vs. 38.24%, p?=?0.008) and caspase-3 (3.30% vs. 5.31%, p?=?0.001) were significantly lower in patients with FAP vs. non-FAP patient controls, respectively. COX-2 mRNA levels in normal duodenal mucosa of patients with FAP were found to be unexpectedly low. None of the potential risk markers was influenced by celecoxib or celecoxib & UDCA.

Conclusions

Protection against toxins and carcinogens (GSTA1) and apoptosis (caspase-3) is low in patients with FAP, which could contribute to increased susceptibility for malignant transformation of duodenal mucosa.

Trial registration

http://ClinicalTrials.gov number NCT00808743

     

A rational approach for the development of reduced-size analogues of neuropeptide Y with high affinity to the Y1 receptor

Four sets of centrally truncated analogues of neuropeptide Y have been synthesized. In each series the N-terminal part was constant, while the C-terminal segment was systematically varied in length. The C- and N-terminal parts were linked by 6-aminohexanoic acid. The affinity to the Y₁ receptor was investigated on human neuroblastoma cells SK-N-MC. Significant differences were found between the series of peptides as well as within each set. Remarkably, the affinity did not solely depend on the length of the segment, and with increasing numbers of residues the IC₅₀ values were not always decreased. With a given N-terminal segment, only one optimal length of the C-terminal segment was found, which suggests that it is not the amino acids themselves but their 3D arrangement and orientation that is important for high receptor affinity.     

Mitochondrial mismatch analysis is insensitive to the mutational process

Mismatch distributions are histograms showing the pattern of nucleotide (or restriction) site differences between pairs of individuals in a sample. They can be used to test hypotheses about the history of population size and subdivision (if selective neutrality is assumed) or about selection (if a constant population size is assumed). Previous work has assumed that mutations never strike the same site twice, an assumption that is called the model of infinite sites. Fortunately, the results are surprisingly robust even when this assumption is violated. We show here that (1) confidence regions inferred using the infinite- sites model differ little from those inferred using a model of finite sites with uniform site-specific mutation rates, and (2) even when site- specific mutation rates follow a gamma distribution, confidence regions are little changed until the gamma shape parameter falls well below its plausible range, to roughly 0.01. In addition, we evaluate and reject the proposition that mismatch waves are produced by pooling data from several subdivisions of a structured population.