Tumorigenesis

PDIA3 and PDIA6 gene expression as an aggressiveness marker in primary ductal breast cancer

F. S. Ramos, Serino, L. T. R., Carvalho, C. M. S., Lima, R. S., Urban, C. A., Cavalli, I. J., and Ribeiro, E. M. S. F., PDIA3 and PDIA6 gene expression as an aggressiveness marker in primary ductal breast cancer, vol. 14, pp. 6960-6967, 2015.

Changes in the expression of the protein disulfide isomerase genes PDIA3 and PDIA6 may increase endoplasmic reticulum stress, leading to cellular instability and neoplasia. We evaluated the expression of PDIA3 and PDIA6 in invasive ductal carcinomas. Using reverse transcription-quantitative polymerase chain reaction, we compared the mRNA expression level in 45 samples of invasive ductal carcinoma with that in normal breast samples. Increased expression of the PDIA3 gene in carcinomas (P = 0.0009) was observed.

Expression profiling of CEACAM6 associated with the tumorigenesis and progression in gastric adenocarcinoma

X. Deng, Liu, P., Zhao, Y., and Wang, Q., Expression profiling of CEACAM6 associated with the tumorigenesis and progression in gastric adenocarcinoma, vol. 13, pp. 7686-7697, 2014.

Carcinoembryonic antigen-related cellular adhesion molecule 6 (CEACAM6) is a member of the immunoglobulin superfamily and has been recently reported to affect the neoplastic, metastatic, and invasive ability of malignant cells by regulating intracellular signaling pathways during tumorigenesis and progression. We investigated the expression and amplification of CEACAM6 in relation to the clinicopathological and biological significance of gastric adenocarcinoma.

Splicing factors are differentially expressed in tumors

N. Kirschbaum-Slager, Lopes, G. M. P., Galante, P. A. F., Riggins, G. J., and de Souza, S. J., Splicing factors are differentially expressed in tumors, vol. 3, pp. 512-520, 2004.

Although alternative splicing of many genes has been found associated with different stages of tumorigenesis and splicing variants have been characterized as tumor markers, it is still not known whether these examples are sporadic or whether there is a broader association between the two phenomena. In this report we evaluated, through a bioinformatics approach, the expression of splicing factors in both normal and tumor tissues. This was possible by integrating data produced by proteomics, serial analysis of gene expression (SAGE) and microarray experiments.

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