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.

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.

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.

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.

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.