9 research outputs found
On evolutionary origin of cancer
BACKGROUND: The necessary and sufficient capabilities of cancer cell have been identified. Strikingly, this list does not include one that would seem to be a key property, namely the ability of cancer cells to kill their "host". This is believed to be a self-evident consequence of the other capabilities (e.g., metastasis), although the available evidence suggests a distinct killer function. Taking into account this unlisted property can significantly affect the current paradigm of carcinogenesis. PRESENTATION OF THE HYPOTHESIS: On the assumption that killer function is a key capability of the cancer cell, it is suggested that cancer has evolved as a mechanism of negative selection of mutant alleles of vitally important genes present in population. Similarly to apoptosis, which is an altruistic suicidal act of a damaged cell, cancer is an altruistic suicidal act of an individual who carries dangerous alleles and presents a hazard for genetic stability of the population. From this point of view, apoptosis is not a protection means against cancer as generally believed, but rather they are the first and second lines of defense against genome instability, respectively. TESTING THE HYPOTHESIS: The modern DNA array technology is capable of revealing gene expression profiles responsible for killer function of cancer cell as well as those specific targets in the body that are most strongly affected by the tumor growth. IMPLICATIONS OF THE HYPOTHESIS: This hypothesis suggests new avenues of cancer research as well as principally new therapeutic strategies
Asymmetric real-time PCR and multiplex melting curve analysis with TaqMan probes for detecting PIK3CA mutations
The data in this article are related to the research article entitled âOptimization of melting analysis with TaqMan probes for detection of KRAS, NRAS, and BRAF mutationsâ Botezatu et al. [1]. Somatic mutations in the PIK3CA gene (âhot spotsâ in exons 9 and 20) are found in many human cancers, and their presence can determine prognosis and a treatment strategy. An effective method of mutation scanning PIK3CA in clinical laboratories is DNA Melting Analysis (DMA) (Vorkas et al., 2010; Simi et al., 2008) [2,3]. It was demonstrated recently that the TaqMan probes which have been long used in Real Time PCR may also be utilized in DMA (Huang et al., 2011) [4]. After optimization of this method Botezatu et al. [1], it was used for multiplex scanning PIK3CA hotspot mutations in formalin-fixed paraffin-embedded (FFPE) samples from patients with colorectal and lung cancer
TaqMan probes as blocking agents for enriched PCR amplification and DNA melting analysis of mutant genes
Asymmetric mutant-enriched polymerase chain reaction and quantitative DNA melting analysis of KRAS mutation in colorectal cancer
Optimization of melting analysis with TaqMan probes for detection of KRAS, NRAS, and BRAF mutations
Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions
<p>Personality traits are complex phenotypes related to psychosomatic health. Individually, various gene finding methods have not achieved much success in finding genetic variants associated with personality traits. We performed a meta-analysis of four genome-wide linkage scans (N=6149 subjects) of five basic personality traits assessed with the NEO Five-Factor Inventory. We compared the significant regions from the meta-analysis of linkage scans with the results of a meta-analysis of genome-wide association studies (GWAS) (N similar to 17 000). We found significant evidence of linkage of neuroticism to chromosome 3p14 (rs1490265, LOD=4.67) and to chromosome 19q13 (rs628604, LOD=3.55); of extraversion to 14q32 (ATGG002, LOD=3.3); and of agreeableness to 3p25 (rs709160, LOD=3.67) and to two adjacent regions on chromosome 15, including 15q13 (rs970408, LOD=4.07) and 15q14 (rs1055356, LOD=3.52) in the individual scans. In the meta-analysis, we found strong evidence of linkage of extraversion to 4q34, 9q34, 10q24 and 11q22, openness to 2p25, 3q26, 9p21, 11q24, 15q26 and 19q13 and agreeableness to 4q34 and 19p13. Significant evidence of association in the GWAS was detected between openness and rs677035 at 11q24 (P-value=2.6 x 10(-06), KCNJ1). The findings of our linkage meta-analysis and those of the GWAS suggest that 11q24 is a susceptible locus for openness, with KCNJ1 as the possible candidate gene.</p>