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Zaha, D. C. Significance of immunohistochemistry in breast cancer. World J. Clin. Oncol. 5, 382–392 (2014). Rudolph, M. et al. AKT1 (E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection. BMC Cancer 16, 622 (2016). Kuleshov, M. V. et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 44, W90–W97 (2016). Detected mutations were annotated and classified as driver and passenger somatic mutations using the method implemented in OncodriveMUT algorithm 76 and the Cancer Genome Interpreter ( https://www.cancergenomeinterpreter.org/home) framework, which allows to identify the most likely driver mutations of a tumor. The oncogenic classification: known and predicted mutation (in any neoplasia), were considered as driver alteration and taken into account for analysis. Structural 3D view of AKT1 mutations The heterogeneous transcriptional phenotypes observed in women with BC belonging to different ancestries, is in part influenced by the alterations in cancer genomes such as mutations and SCNV. Even when a well concordance of SCNA profiles were observed with other ancestries, differences exist in the frequencies of these genomic alterations alongside the detection of unique SCNA in tumors from HM women.

The sample was subdivided by decade of age in 4 groups: 3 rd decade, 4 th decade, 5 th decade > 6 th decade of life. And taking into consideration that breast size increases by 20 cc for every kg above the ideal body weight (BMI: 18.5 - 24.9 Kg/m 2), groups were also subdivided by BMI. Demographic information collected included: age, heigh, weight, BMI (Kg/m 2). We believe that the findings of this study should be mentioned in the preoperative consultations, for the patient to be aware of what are the reconstructive needs to achieve the best result ( Figure 9).Rooney, M. S., Shukla, S. A., Wu, C. J., Getz, G. & Hacohen, N. Molecular and genetic properties of tumors associated with local immune cytolytic activity. Cell 160, 48–61 (2015). Li, G. et al. Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients. PLoS ONE 13, e0203495 (2018). Patete, P., Eder, M., Raith, S., Volf, A., Kovacs, L. and Baroni, G. (2013) Comparative Assessment of 3D Surface Scanning Systems in Breast Plastic and Reconstructive Surgery. Surgical Innovation, 20, 509-515. Big breasts might seem like a blessing to some. However, one buxom influencer finds her cumbersome chest to be a massive burden, as she’s allegedly forced to wear multiple bras at once to work out, among other inconveniences. The blond bombshell showed off her apparently problematic mammaries in a series of TikTok videos with millions of views. As expected, we find some particular differences at PAM50 subtype level among population groups evaluated (Fig. 1c, d). LumA subtype has a higher prevalence among HM women than in AA and Nigerians (HM vs. AA: 43% vs. 26% Fisher’s exact BH p = 0.041, HM vs. Nigerian: 43% vs. 17%. BH p = < 0.001). Further, basal-like subtype is clearly less represented in HM patients with respect to AA and Nigerian (OR AA vs. HM: 3.6, 95% CI: 2.2–5.8, BH p = 0.001; Nigerian vs. HM: 3.3, 95% CI: 1.8–6 BH p = 0.002) (Fig. 1d and Supplementary Data 2). Among the other subtypes, there was a substantial overlap in the frequencies between HM, Hispanic non-Mexican and non-Hispanic patients and differences did not reach statistical significance (Fig. 1d).

Chakravarty, D. et al. OncoKB: a precision oncology knowledge base. JCO Precis. Oncol. 2017, PO.17.00011 (2017). The mean values for the Base of the Breast divided by age group were 3rd decade of life (12.6 cm, L 12.6 cm), Fourth decade of life (R 12.7 cm, L 12.8 cm), Fifth decade of life (R 14.9 cm, L 14.7 cm), >6 th decade of life (R 14.8 cm, L 15.1 cm) ( Figure 7). We found that the average base of the breast in the Mexican population is 13.4 cm, regardless of the side (p < 0.490) ( Table 4). Yoshihara, K. et al. Inferring tumour purity and stromal and immune cell admixture from expression data. Nat. Commun. 4, 2612 (2013).Laboratorio de Biología Computacional, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico Gene-level amplification/deletion threshold values computed by GISTIC, considering only high-level amplifications (+2) and deep deletions (−2), were used to compare significant events against patients from other ancestries. Collectively, the most frequently altered genes by DNA copy-number alterations at focal level were the amplifications of ERBB2 (17q17q12), WHSC1L1 (8p11.23), CCND1(11q13.3), ORAOV1(11q13.3) and MYC (8q24.21) (Fig. 6e and Supplementary Data 8). Recurrent focal copy-number losses included CSMD1 (8p23.2), SHISA6 (17p12), and DMRT1/2/3 genes (9p24.3) (Fig. 6f and Supplementary Data 8) (Supplementary Fig. 9d). Gained or lost regions as identified by GISTIC2 had significant corresponding peaks within the other ancestry groups evaluated. Dissecting the biological impact of genomic complexity alterations While comparing the measurements of our population with those published of other nations and ethnicities, we found differences and similarities. The Nipple Areola Complex diameter was similar to Saudi Arabia and Turkey, but statistically different from Asian and Caucasian patients [3] [4] ( Table 8).