Use of ultra-high performance liquid chromatography-high-resolution mass spectroscopy to profile the metabolites from the serum of patients with breast cancer.

Breast cancer (BC) is the most common type of malignancy and the leading cause of cancer-associated mortality in women worldwide. As such, assessing the metabolic changes during human breast carcinogenesis is key for developing disease prevention methods and treatment. In the present study, non-targeted metabolomics with chemometrics based on ultra-high performance liquid chromatography-high-resolution mass spectrometry were performed to assess differences in serum metabolite patterns between patients with BC and healthy individuals. A total of 3,246 metabolites in the sera of healthy controls and patients with BC were found. Kyoto Encyclopedia of Genes and Genomes pathway analysis demonstrated that arginine, proline, nicotinate, nicotinamide, caffeine and arachidonic acid metabolism, as well as fatty acid biosynthesis were significantly altered in patients with BC in comparison with controls. These results suggested that serum metabolic profiling has potential for discovering molecular biomarkers for the detection of BC. It may also further the understanding of the underlying mechanisms associated with this disease.

The Vacuum-Assisted Breast Biopsy System is an Effective Strategy for the Treatment of Gynecomastia.

BACKGROUND: Gynecomastia is the most common benign disease in males with an increasing prevalence in recent years. It may cause local pain and psychological disorders. The vacuum-assisted breast biopsy system has been reported to be a novel surgical approach for the treatment of gynecomastia. However, there are little detailed reports comparing the curative effect between traditional surgery and vacuum-assisted breast biopsy for gynecomastia. Besides, there was little study which compared the application of two different systems for the treatment of gynecomastia. Our study aimed to investigate the effectiveness of vacuum-assisted breast biopsy systems for patients with gynecomastia. METHODS: We retrospectively reviewed 83 patients with gynecomastia between January 2015 and December 2019. Open surgery was performed in 56 patients, and vacuum-assisted breast biopsy was performed in 27 patients. The characteristics of patients as well as the curative effects between the two groups were analyzed. The two vacuum-assisted breast biopsy systems (Mammotome and Encor) were performed for the patients with gynecomastia. The efficacy, safety, complications, and patient satisfactions were recorded during postoperative follow-up periods. RESULTS: Compared with the open surgery group, the vacuum-assisted breast biopsy group had significantly smaller scar sizes left after the operation (5.5 ± 1.3 cm vs 0.8 ± 0.2 cm, p < 0.001), and shorter hospital stay time (5.5 ± 2.4 ds vs 3.1 ± 1.6 ds, p < 0.001). Patients in vacuum-assisted breast biopsy group had a better cosmetic outcome than those in open surgery group. There were no statistically significant differences between the two vacuum-assisted breast biopsy systems according to the mean age, the mean operation time, sites, or grade. In addition, no serious complications were observed in vacuum-assisted breast biopsy group. All the patients recovered well and were satisfied with the cosmetic outcomes. CONCLUSION: The vacuum-assisted breast biopsy system can be used as a feasible and minimally invasive approach for the treatment of gynecomastia. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

How to balance the bioinformatics data: pseudo-negative sampling.

BACKGROUND: Imbalanced datasets are commonly encountered in bioinformatics classification problems, that is, the number of negative samples is much larger than that of positive samples. Particularly, the data imbalance phenomena will make us underestimate the performance of the minority class of positive samples. Therefore, how to balance the bioinformatic data becomes a very challenging and difficult problem. RESULTS: In this study, we propose a new data sampling approach, called pseudo-negative sampling, which can be effectively applied to handle the case that: negative samples greatly dominate positive samples. Specifically, we design a supervised learning method based on a max-relevance min-redundancy criterion beyond Pearson correlation coefficient (MMPCC), which is used to choose pseudo-negative samples from the negative samples and view them as positive samples. In addition, MMPCC uses an incremental searching technique to select optimal pseudo-negative samples to reduce the computation cost. Consequently, the discovered pseudo-negative samples have strong relevance to positive samples and less redundancy to negative ones. CONCLUSIONS: To validate the performance of our method, we conduct experiments base on four UCI datasets and three real bioinformatics datasets. According to the experimental results, we clearly observe the performance of MMPCC is better than other sampling methods in terms of Sensitivity, Specificity, Accuracy and the Mathew's Correlation Coefficient. This reveals that the pseudo-negative samples are particularly helpful to solve the imbalance dataset problem. Moreover, the gain of Sensitivity from the minority samples with pseudo-negative samples grows with the improvement of prediction accuracy on all dataset.

The Vacuum-Assisted Breast Biopsy System is an Effective Treatment Strategy for Breast Lumps After Augmentation with Autologous Fat Grafting.

BACKGROUND: With the extensive application of autologous fat grafting (AFG) to the breasts, postoperative complications such as breast lumps attract high attention. Breast lumps greatly reduce patient satisfaction and bring mental stress. However, there are few detailed reports about minimally invasive treatment strategies for breast lumps after AFG. Our study aimed to investigate the effectiveness of the vacuum-assisted breast biopsy (VABB) system for patients with lumps after AFG. MATERIALS AND METHODS: We retrospectively reviewed 37 patients with breast lumps between April 2015 and January 2019. The characteristics of patients and breast lumps were analyzed. Breast lumps were classified into four types, including cystic, solid, complex and calcification. The vacuum-assisted breast biopsy (Mammotome and Encor) was performed for the patients with lumps after AFG. The efficacy, safety, complications and patient satisfactions were recorded during postoperative follow-up periods. RESULTS: Under the guidance of ultrasound, the breast lumps could be thoroughly and accurately excised by the vacuum-assisted biopsy system. No patient experienced breast infections or major complications requiring treatment. Hematoma was observed in only 2 patients and gradually resolved without any special management. With a median follow-up of 29 months, no recurrence was observed. Furthermore, there were no statistical differences in duration of the procedures and complications between the two VABB systems. All the patients recovered well and were satisfied with the cosmetic outcome. CONCLUSION: The vacuum-assisted breast biopsy system can be used as an effective and minimally invasive approach for the surgical management of lumps after AFG. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Circulating HOTAIR expression predicts the clinical response to neoadjuvant chemotherapy in patients with breast cancer.

BACKGROUND: Long noncoding RNA HOTAIR has been detected in the serum of patients with various malignances and may be served as novel biomarker for diagnosis and prognosis prediction of breast cancer. However, the value of circulating HOTAIR to predict the response to neoadjuvant chemotherapy (NAC) remains unclear. OBJECTIVE: In the present study, we analyzed whether pretreatment circulating HOTAIR levels predict the response to NAC and investigated prognostic impact of circulating HOTAIR on disease-free survival (DFS) in breast cancer patients treated with NAC. METHODS: Circulating HOTAIR levels in the serum of 112 breast cancer patients before NAC were measured using quantitative real-time PCR. The correlation of circulating HOTAIR with the clinicopathologic status and the response to NAC were analyzed. Kaplan-Meier survival analysis and log-rank test were used to estimate the DFS. RESULTS: In 112 serum samples obtained before NAC, high circulating HOTAIR was associated with larger tumor size, more positive lymph nodes as well as more distant metastasis. However, there was no significant correlation between the circulating HOTAIR levels and age, Ki67 status or hormone receptor. Furthermore, patients with high circulating HOTAIR achieved less clinical response as well as pathologic complete response than those with low circulating HOTAIR (p< 0.05). The Kaplan-Meier survival curve with a median follow-up of 48 months demonstrated that patients with high circulating HOTAIR expression had a worse disease-free survival than those with low circulating HOTAIR (log-rank p= 0.012). CONCLUSIONS: High circulating HOTAIR level correlates with less response to neoadjuvant chemotherapy as well as a worse prognosis in breast cancer patients. Therefore, the present study provides a favorable basis to use circulating HOTAIR as a predictor of neoadjuvant chemotherapy response.