8-Oxo-7,8-dihydro-2'-deoxyguanosine and other lesions along the coding strand of the exon 5 of the tumour suppressor gene P53 in a breast cancer case-control study.

The next-generation sequencing studies of breast cancer have reported that the tumour suppressor P53 (TP53) gene is mutated in more than 40% of the tumours. We studied the levels of oxidative lesions, including 8-oxo-7,8-dihydro-2'-deoxyguanosine (8-oxodG), along the coding strand of the exon 5 in breast cancer patients as well as in a reactive oxygen species (ROS)-attacked breast cancer cell line using the ligation-mediated polymerase chain reaction technique. We detected a significant 'in vitro' generation of 8-oxodG between the codons 163 and 175, corresponding to a TP53 region with high mutation prevalence, after treatment with xanthine plus xanthine oxidase, a ROS-generating system. Then, we evaluated the occurrence of oxidative lesions in the DNA-binding domain of the TP53 in the core needle biopsies of 113 of women undergoing breast investigation for diagnostic purpose. An increment of oxidative damage at the -G- residues into the codons 163 and 175 was found in the cancer cases as compared to the controls. We found significant associations with the pathological stage and the histological grade of tumours. As the major news of this study, this largest analysis of genomic footprinting of oxidative lesions at the TP53 sequence level to date provided a first roadmap describing the signatures of oxidative lesions in human breast cancer. Our results provide evidence that the generation of oxidative lesions at single nucleotide resolution is not an event highly stochastic, but causes a characteristic pattern of DNA lesions at the site of mutations in the TP53, suggesting causal relationship between oxidative DNA adducts and breast cancer.

Breast fine-needle aspiration malondialdehyde deoxyguanosine adduct in breast cancer.

This study has analysed the generation of 3-(2-deoxy-ß-D-erythro-pentafuranosyl)pyrimido[1,2-α]purin-10(3H)-one deoxyguanosine adduct [M1dG], a biomarker of oxidative stress and lipid peroxidation, in breast fine-needle aspirate samples of 22 patients with breast cancer, at different clinical stages, in respect to 13 controls. The multivariate analysis show that M(1)dG adduct was higher in cases than in controls (Mean Ratio (MR) = 5.26, 95% CI = 3.16-8.77). Increased M1dG was observed in women with a tumour grade 3 and a pathological diameter 2 (MR = 7.61, 95% CI = 3.91-14.80 and MR = 5.75, 95% CI = 3.13-10.59, respectively). A trend with increasing tumour grade and pathological diameter was present (MR = 1.98, 95% CI = 1.57-2.50 and MR = 2.44, 95% CI = 1.71-3.48, respectively). Not significant effects of age and smoking habit were found (MR = 1.58, 95% CI = 0.92-2.72 and MR = 1.68, 95% CI 0.88-3.20, respectively). An increment over the background frequency of M1dG can contribute to breast cancer development. Increasing severity of breast tumour can influence DNA damage level.

Accuracy and underestimation of malignancy of breast core needle biopsy: the Florence experience of over 4000 consecutive biopsies.

Breast core needle biopsy (CNB) is used for sampling breast lesions in both the screening and diagnostic context. We present the accuracy of breast CNB from a consecutive series of 4035 core biopsies, using methods that minimise selection and verification bias. We calculate accuracy and underestimation of malignancy for both automated (14G) and directional vacuum-assisted (11G) CNB performed under stereotactic or sonographic guidance. Overall sensitivity of CNB is 94.2% (92.9-95.5%) and specificity is 88.1% (86.6-89.6%), positive and negative predictive values are 84.8% (82.9-86.7%) and 95.6% (94.6-96.6%), respectively. In sampling microcalcification, the overall underestimation of malignancy is 26.6% (22.9-30.3%): underestimation is significantly higher for automated CB relative to VAB (chi2 ((df = 1)) = 8.90 , P = 0.002), the absolute difference in underestimation being 14% (5-23%); sensitivity is higher for VAB than automated CB (chi2 ((df = 1)) = 3.28, P = 0.06) but specificity is significantly higher for automated CB (14G) relative to VAB (11G) (chi2 ((df = 1)) = 6.37, P = 0.01), and the overall accuracy of the two methods is similar. Sensitivity of CNB improved with experience (over time and in relation to caseload). Accuracy was not substantially affected by lesion palpability or image-guidance method, and was similar for both masses and calcification but lower for lesions depicted as distortions on mammography. Inadequacy was very low and decreased with greater operator caseload, and was not associated with core gauge or image-guidance method. False negatives occurred in 4.4% (3.4-5.4%) of cases, and where core histology was benign but discordant with (suspicious) imaging and/or clinical findings the likelihood of malignancy was 33.1% (18.5-47.7%), emphasising the importance of correlating all test information in breast diagnosis.