PubMed · 14911310
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E N COLLINS. 1952. Functional indigestion.. https://pubmed.ncbi.nlm.nih.gov/14911310/
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BACKGROUND: Precise classification of cancer types is critically important for early cancer diagnosis and treatment. Numerous efforts have been made to use gene expression profiles to improve precision of tumor classification. However, reliable cancer-related signals are generally lacking. METHOD: Using recent datasets on colon and prostate cancer, a data transformation procedure from single gene expression to pair-wise gene expression ratio is proposed. Making use of the internal consistency of each expression profiling dataset this transformation improves the signal to noise ratio of the dataset and uncovers new relevant cancer-related signals (features). The efficiency in using the transformed dataset to perform normal/tumor classification was investigated using feature partitioning with informative features (gene annotation) as discriminating axes (single gene expression or pair-wise gene expression ratio). Classification results were compared to the original datasets for up to 10-feature model classifiers. RESULTS: 82 and 262 genes that have high correlation to tissue phenotype were selected from the colon and prostate datasets respectively. Remarkably, data transformation of the highly noisy expression data successfully led to lower the coefficient of variation (CV) for the within-class samples as well as improved the correlation with tissue phenotypes. The transformed dataset exhibited lower CV when compared to that of single gene expression. In the colon cancer set, the minimum CV decreased from 45.3% to 16.5%. In prostate cancer, comparable CV was achieved with and without transformation. This improvement in CV, coupled with the improved correlation between the pair-wise gene expression ratio and tissue phenotypes, yielded higher classification efficiency, especially with the colon dataset - from 87.1% to 93.5%. Over 90% of the top ten discriminating axes in both datasets showed significant improvement after data transformation. The high classification efficiency achieved suggested that there exist some cancer-related signals in the form of pair-wise gene expression ratio. CONCLUSION: The results from this study indicated that: 1) in the case when the pair-wise expression ratio transformation achieves lower CV and higher correlation to tissue phenotypes, a better classification of tissue type will follow. 2) the comparable classification accuracy achieved after data transformation suggested that pair-wise gene expression ratio between some pairs of genes can identify reliable markers for cancer.
Megacystis-microcolon-intestinal hypoperistalsis syndrome (MMIHS) is a rare, often fatal condition. Infants present with a functional obstruction of the gastrointestinal tract (GI), malrotation, microcolon, and a large nonobstructed bladder. Several features common to both MMIHS and Eagle-Barrett or prune belly syndrome (PBS) include hydronephrosis, bladder distension and laxity of the abdominal wall musculature. Additionally, MMIHS and PBS have been reported in the same family, suggesting the possibility of a common pathogenesis. MMIHS usually presents in female infants. We present a male infant diagnosed with both MMIHS and PBS. This is a unique case in which both MMIHS and true PBS are present in the same infant.
Colonic duplication is a rare congenital abnormality that can present diagnostic difficulties. A case of duplication of the entire large bowel and terminal ileum is presented, and a framework for diagnostic work-up and treatment options in these patients is discussed.