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- Biverstal, Anna, et al.
(author)
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Cyclobutane pyrimidine dimers do not fully explain the mutagenicity induced by UVA in Chinese hamster cells
- 2008
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In: Mutation research. - : Elsevier BV. - 0027-5107 .- 1873-135X. ; 648:02-jan, s. 32-39
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Journal article (peer-reviewed)abstract
- UVA generates low levels of cyclobutane pyrimidine dimers (CPDs). Here we asked the question whether CPDs could fully explain the level of mutations induced by UVA. Relative mutagenicities of UVA and UVC were calculated at equal levels of CPDs in cell lines, deficient in different aspects of repair. Survival and gene mutations in the hprt locus were analyzed in a set of Chinese hamster ovary (CHO) cell lines, i.e., wild-type, Cockayne syndrome B protein-deficient (CSB), XRCC3-deficient and XRCC1-deficient adjusted to the same level of CPDs which was analyzed as strand breaks as a result of DNA cleavage by T4 endonuclease V at CPD sites. Induced mutagenicity of UVA was approximately 2 times higher than the mutagenicity of UVC in both wild-type and XRCC1-deficient cells when calculated at equal level of CPDs. Since this discrepancy could be explained by the fact that the TT-dimers, induced by UVA, might be more mutagenic than C-containing CPDs induced by UVC, we applied acetophenone, a photosensitizer previously shown to generate enhanced levels of TT-CPDs upon UVB exposure. The results suggested that the TT-CPDs were actually less mutagenic than the C-containing CPDs. We also found that the mutagenic effect of UVA was not significantly enhanced in a cell line deficient in the repair of CPDs. Altogether this suggests that neither base excision- nor nucleotide excision-repair was involved. We further challenge the possibility that the lesion responsible for the mutations induced by UVA was of a more complex nature and which possibly is repaired by homologous recombination (HR). The results indicated that UVA was more recombinogenic than UVC at equal levels of CPDs. We therefore suggest that UVA induces a complex type of lesion, which might be an obstruction during replication fork progression that requires HR repair to be further processed.
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- Bäckvall, Helena, et al.
(author)
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Genetic tumor archeology : microdissection and genetic heterogeneity in squamous and basal cell carcinoma
- 2005
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In: Mutation research. - : Elsevier BV. - 0027-5107 .- 1873-135X. ; 571:02-jan, s. 65-79
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Research review (peer-reviewed)abstract
- Carcinogenesis is a multi-step series of somatic genetic events. The complexity of this multi-hit process makes it difficult to determine each single event and the definitive outcome of such events. To investigate the genetic alterations in cancer-related genes, sensitive and reliable detection methods are of major importance for generating relevant results. Another critical issue is the quality of starting material which largely affects the outcome of the analysis. Microdissection of cells defined under the microscope ensures a selection of representative material for subsequent genetic analysis. Skin cancer provides an advantageous model for studying the development of cancer. Detectable lesions occur early during tumor progression, facilitating molecular analysis of the cell populations from both preneoplastic and neoplastic lesions. Alterations of the p53 tumor suppressor gene are very common in non-melanoma skin cancer, and dysregulation of p53 pathways appear to be an early event in the tumor development. A high frequency of epidermal p53 clones has been detected in chronically sun-exposed skin. The abundance of clones containing p53 mutated keratinocytes adjacent to basal cell (BCC) and squamous cell carcinoma (SCC) suggests a role in human skin carcinogenesis. Studies using p53 mutations as a clonality marker have suggested a direct link between actinic keratosis, SCC in situ and invasive SCC. Microdissection-based studies have also shown that different parts of individual BCC tumors can share a common p53 mutation yet differ with respect to additional alterations within the p53 gene, consistent with subclonal development within tumors. Here, we present examples of using well-defined cell populations, including single cells, from complex tissue in combination with molecular tools to reveal features involved in skin carcinogenesis.
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- Carvalho, Marcelo, et al.
(author)
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Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1
- 2009
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In: Mutation research. - : Elsevier BV. - 0027-5107 .- 1873-135X .- 1879-2871. ; 660:1-2, s. 1-11
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Journal article (peer-reviewed)abstract
- Germline mutations that inactivate BRCA1 are responsible for breast and ovarian cancer susceptibility. One possible outcome of genetic testing for BRCA1 is the finding of a genetic variant of uncertain significance for which there is no information regarding its cancer association. This outcome leads to problems in risk assessment, counseling and preventive care. The purpose of the present study was to functionally evaluate seven unclassified variants of BRCA1 including a genomic deletion that leads to the in-frame loss of exons 16/17 (Delta exons 16/17) in the mRNA, an insertion that leads to a frameshift and an extended carboxy-terminus (5673insC), and five missense variants (K1487R, S1613C, M1652I, Q1826H and V1833M). We analyzed the variants using a functional assay based on the transcription activation property of BRCA1 combined with supervised learning computational models. Functional analysis indicated that variants S1613C, Q1826H, and M1652I are likely to be neutral, whereas variants V1833M, Delta exons 16/17, and 5673insC are likely to represent deleterious variants. In agreement with the functional analysis, the results of the computational analysis also indicated that the latter three variants are likely to be deleterious. Taken together, a combined approach of functional and bioinformatics analysis, plus structural modeling, can be utilized to obtain valuable information pertaining to the effect of a rare variant on the structure and function of BRCA1. Such information can, in turn, aid in the classification of BRCA1 variants for which there is a lack of genetic information needed to provide reliable risk assessment.
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