The purpose of our study was to establish the frequency and distribution of the four most common BRCA1 mutations in Polish general population and in a series of breast cancer patients. Analysis of the population frequency of 5382insC (c.5266dupC), 300T >G (p.181T >G), 185delAG (c.68_69delAG) and 3819del5 (c.3700_3704del5) mutations of the BRCA1 gene were performed on a group of respectively 16,849, 13,462, 12,485 and 3923 anonymous samples collected at birth in seven Polish provinces. The patient group consisted of 1845 consecutive female breast cancer cases. The most frequent BRCA1 mutation in the general population was 5382insC found in 29 out of 16,849 samples (0.17%). 300T >G and 3819del5 mutations were found in respectively 11 of 13,462 (0.08%) and four of 3923 (0.1%) samples. The population prevalence for combined Polish founder 5382insC and 300T >G mutations was 0.25% (1/400). The frequencies of 5382insC and 300T >G carriers among consecutive breast cancer cases were, respectively, 1.9% (35/1845) and 1.2% (18/1486). Comparing these data with the population frequency, we calculated the relative risk of breast cancer for 5382insC mutation at OR = 17 and for 300T >G mutation at OR = 26. Our results, based on large population studies, show high frequencies of founder 5382insC and 300T >G BRCA1 mutations in Polish general population. Carriage of one of these mutations is connected with a very high relative risk of breast cancer.
It can be concluded that all the cancer cells tested have higher telomerase expression and activity than normal cells. Therefore, telomerase can be a good cancer marker, provided that quantitative analysis is carried out.
Reactivation of telomerase plays an important role in carcinogenesis. Malignant cells almost always possess high activity and expression of telomerase. The aim of this study was to see whether there is any relationship between telomerase activity and expression and hTERT and hTERC gene amplification in acute lymphoblastic leukemia (ALL) and non-lymphoblastic leukemia (ANLL) cells. In addition telomere length was tested in leukemic cells at the time of diagnosis and during remission. Expression of the three components of telomerase (hTERT, hTERC and TP1) as well as telomerase activity was found both in ALL and ANLL cells. Telomerase activity was diminished in patients in remission. The leukemic cells showed considerable heterogeneity of terminal restriction fragments, that is telomere length. ALL cells showed a variable pattern of telomere length in contrast to ANLL cells which produced a predominantly short telomere pattern. Telomere length in the lymphocytes of leukemia patients was shorter in remission as compared to the time of diagnosis. FISH analysis revealed amplification of hTERT and hTERC genes in ALL and ANLL cells. Quantitative analysis showed that leukemic cells possess higher number of hTERT and hTERC copies than the normal PBL. Our results suggest that the activation of telomerase in leukemic cells is connected with amplification of hTERT and hTERC genes. The high expression and activity of telomerase found in leukemic cells may be partially explained by amplified hTERT and hTERC genes. Amplification of the telomerase genes seems to be a common event in carcinogenesis and may play a role in telomerase reactivation leading to cell immortalization.
In the etiopathogenesis of multiple sclerosis (MS), both genetic and environmental factors play an important role. Among environmental factors, viral infections are most likely connected with the etiology of MS. There are many evidence suggesting possible involvement of retroviruses in the development of autoimmune diseases including MS. Multiple sclerosis-associated retrovirus (MSRV) seems to be the important candidate for viral etiology of MS. The aim of the study was to analyze MSRV pol sequences in patients with MS. As control, groups of myasthenia gravis, Parkinson's disease, and migraine patients, and healthy individuals have been studied. The MSRV pol sequences have been analyzed in RNA isolated from the serum and in DNA and RNA of peripheral blood lymphocytes from untreated MS patients and control groups. The MSRV pol sequences have been detected by reverse transcriptase-polymerase chain reaction (RT-PCR) and PCR technique, using specific oligonucleotide primers. In the serum RNA (cDNA), MSRV pol sequences have been identified in 31/32 MS patients. MSRV pol sequences were detected in serum cDNA of 9/17 myasthenia gravis patients, 7/16 Parkinson's disease patients, 10/21 migraine patients, and 13/27 healthy individuals. MSRV pol sequences were observed also in RNA from lymphocytes of all MS patients, 12/17 myasthenia gravis patients, 9/16 Parkinson's disease patients, 14/21 migraine patients, and 18/27 healthy donors. In the DNA from peripheral blood lymphocytes of all studied patients and healthy individuals, MSRV pol sequences have been found. The observed pattern of fiber-fluorescence in situ hybridization (FISH) signals suggests the presence of multiple copies of MSRV pol sequences, most likely tandemly dispersed in the genome. It can be concluded that MSRV pol sequences are endogenous, widespread in lymphocytes DNA, and transcribed into RNA of MS patients as well as of other studied patients and healthy individuals. However, more frequent expression of MSRV sequences detected in lymphocytes RNA (cDNA), as well as their presence in higher frequency in the serum of MS patients, may suggest the involvement of MSRV in the etiopathogenesis on MS.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.