Several bacterial species identified in human breast tissue using next generation sequencing techniques (e.g. Lactobacillus spp.) were not detected using our culture-based assay, despite using media on which these microbes routinely grow (e.g. MRS). Conclusions: Our data suggest that the true profile of the breast microbiota may be considerably less diverse than what high- throughput data indicate. To our knowledge, this is the first study in which viable bacteria have been recovered from human breast tumour tissue. Conflict of Interest: No significant relationships. P353 To determine the frequency of depressive disorder and its socioeconomic factors in diagnosed cases of breast cancer visiting a tertiary care hospital of developing country B. Mir Kan 1 *, W. Ali 2,3 . 1 Oncology, Aga Khan University, Karachi, Pakistan, 2 Psychiatry & Behavioral Sciences, Jinnah Post Graduate Medical Center, Karachi, Pakistan, 3 Psychiatry, Aga Khan University, Karachi, Pakistan Goals: Breast cancer is a leading cancer diagnosis among women worldwide, with more than 210,000 new cases and 40,000 deaths per year in the United States. Since surgical treatment of breast cancer may lead to reduced or uneven breast size and complete removal of one or both breasts can cause disfigurement, scarring, chronic pain decreased range of motion, and lymph edema(swelling typically in one or more extremities) hence Psychological distress can occur. The prevalence of psychological distress among breast cancer patients is high, and they are at higher risk of developing severe anxiety, depression and potential mood disorders. The goal of this study to determine the socio- economic factors associated with anxiety and depression among breast cancer patients and to access the changes of psychological distress after the completion of treatment at 1 year of follow-up. Methods: The totals of 93 women who fulfill the inclusion and exclusion criteria like histopathology proven breast cancer patient who do not have previous history of depressive disorder were included in this study. The purpose procedure, risk and benefits of the study were explained, confidentiality was ensured and informed consent was taken from the eligible patients. Brief history of breast cancer was taken and then assess for depression on the basis of Hamilton rating scale for depression and score ≥7 was marked as women with positive depressive disorder. Results: Mean±SD of age was 58.64 ± 11.26 with C.I (56.32–60.95) years. Out of 93 women frequencyof depressive disorder was found in 32 (34%) patients. Mean±SD of duration of breast cancer was 15.86 ± 5.26 with C.I (14.77–16.94) weeks. Mean±SD of duration of HAM-D score was 8.23 ± 7.55 with C.I (6.67–9.78). on further stratification, the education level of women, 30 out of 93 (32%) were > more then 10th class literate while in other hand 16 (17%) were illiterate. Most of the women 58 (62%) were belong to lower class and 6 (6.45%) belong to upper middle class. In marital status of the patients 8 (9%) were unmarried and 35 (38%) were married. In distribution of number of kids 48.13% had 2–6 kids while 51.61% had 7–10 kids with Mean±SD 6.32 ± 2.24. Conclusions: Study clearly shows that younger age group, low monthly income, having less financial support, low education level and being single were associated with anxiety and depression. For managing breast cancer patients, more care or support should be given to this type of patients as they are at high risk of anxiety and depression. Conflict of Interest: No significant relationships. P354 The breast cancer genetic risk model based on eight single nucleotide polymorphisms Z. Dankova 1 *, P. Zubor 2 , M. Grendar 3 , M. Kalman 4 , K. Zelinova 1 , M. Jagelkova 1 , A. Kapinova 1 , D. Simova 2 , D. Vlcakova 2 , Z. Lasabova 1 . 1 Department of Oncology, Jessenius Faculty of Medicine, Biomedical center Martin, Martin, Slovakia, 2 Clinic of Gynaecology and Obstetrics, Martin University Hospital, Martin, Slovakia, 3 Bioinformatic Unit, Jessenius Faculty of Medicine, Biomedical Center Martin, Martin, Slovakia, 4 Department of Pathology, Martin University Hospital, Martin, Slovakia Goals: Beside the well-known mutations in BRCA1 and BRCA2 genes, 90 other susceptible genetic variants with different penetration have been identified to play important role in inherited breast cancer risk. We analyzed eight low penetrant, common single nucleotide polymorphisms and calculated predictive accuracy of the genetic risk model. Methods: This prospective case-control study consist of 171 women with developed breast cancer (57.06±11.60 years) and 146 healthy controls (50.24 ± 10.69 years) without previous history of any malignancy. The genotypes of eight genetic variants (rs4415084 FGF10, rs2981582 FGFR2, rs889312 MAP3K1 , rs3817198 LSP1 , rs3803662 TOX3/TNRC9, rs2293554 CASP8, rs13387042 and rs13281615 CASC21) were analysed by High Resolution Melting method (LightCycler ® 480 Instrument) and validated by Sanger sequencing (Applied Biosystems™ 3500 Series Genetic Analysers). The Random Forest algorithm was used to get genetic risk model accuracy explained by ROC with AUC values. Results: Two genetic variants (rs2981582 FGFR2 and rs889312 MAP3K1) significantly associated with breast cancer with higher odds ratios of homozygotes with two risk alleles than the hetero- zygotes with one mutant allele: FGFR2 TT: 1.953 (95%CI 1.014–3.834, p =0.049), CT 1.771 (95%CI 1.088–2.899, p = 0.026) and MAP3K1 CC 2.894 (95%CI 1.028–9.566, p=0.048), AC 1.760 (95%CI 1.108–2.813, p =0.019). These variants showed also the best single discriminative ability, followed by CASP8 variant. The Random Forest classification algorithm identified as the most important predictor to be age, followed by FGFR2, LSP1 and MAP3K1 . Discriminative accuracy of the genetic risk model distinguishing controls and breast cancer patients, based on 8 SNPs and age, had value of AUC 0.728 with sensitivity 70.6% and specificity 65.1%. It was significantly higher than in other genetic risk model studies based on more SNPs. Conclusions: Various statistical analyses of this research identified four (FGFR2, MAP3K1, LSP1 and CASP8 genetic variants) out of eight studied single nucleotide polymorphisms to play substantial role in breast carcinogenesis. We assume that inclusion of other gynaeco- logical, family and life style risk factors, into the risk model could increase both, AUC value and also sensitivityand specificity, that the model will have sufficient predictive performance. Study was supported by the grants VEGA 1/0124/17, 1/0199/17 and 1/0018/16 and APVV-16-0021. Conflict of Interest: No significant relationships. P355 Melanocyte colonisation of invasive ductal carcinoma: a case report D. Vlc ˇáková 1 *, T. Kulkovska 1 , P. Žúbor 1 , J. Danko 1 , T. Bielik 1 , E. Kudela 1 , D. Šimová 1 , E. Kozubík 1 , M. Boboroská 2 , K. Kajo 3 . 1 Department of Gynecology and Obstetrics, Jessenius Faculty of Medicine, Comenius University in Bratislava, Martin, Slovakia, 2 Department of Pathology, Jessenius Faculty of Medicine, Comenius University in Bratislava, Martin, Slovakia, 3 Department of Gynecology and Obstetrics, St. Elizabeth Cancer Insitute Hospital, Bratislava, Slovakia Goals: We aimed to present a unique melanocytic transformation in invasive breast cancer as a very rare case. There were reported only 4 cases and published in Medline. We describe the detailed profile of 16th St.Gallen International Breast Cancer Conference / The Breast 44S1 (2019) S79–S142 S137