Recurrence score-predicted value derived from estrogen receptor, tumor-infiltrating lymphocytes, progesterone receptor, and Ki-67 may substitute for the Oncotype DX recurrence score in estrogen receptor (ER)+/human epidermal growth factor receptor 2 (HER2)- breast cancer.

Oncotype DX is the only multigene assay supported by the National Comprehensive Cancer Network (USA) with Level 1 evidence for use on node-negative and postmenopausal node-positive patients with estrogen receptor (ER)+/human epidermal growth factor receptor 2 (HER2)-breast cancer to predict the prognosis and to estimate chemotherapy add-on effects. However, the test's high cost prevents its use in most cases. Therefore, we aimed to obtain an alternative recurrence score (RS) prediction formula using the optimal clinicopathological factors.

Using the DNA Integrity Number to Analyze DNA Quality in Specimens Collected from Liquid-Based Cytology after Fine-Needle Aspiration of Breast Tumors and Lesions.

Introduction: Cancer genome analysis using next-generation sequencing requires adequate and high-quality DNA samples. Genomic analyses were conventionally performed using formalin-fixed paraffin-embedded sections rather than cytology samples such as cell block or smear specimens. Specimens collected from liquid-based cytology (LBC) have the potential to be sources of high-quality DNA suitable for genetic analysis even after long-term storage.

[A Case of Triple Negative Breast Cancer with Successful Control of Recurrent Disease Activity for More than Ten Years].

A woman in her 70s underwent mastectomy plus axillary lymph node excision(Bt plus Ax)in December 2011 for left breast cancer classified as pT2N1M0, pStage ⅡB. The tumor was identified as an invasive ductal carcinoma(IDC), neural/ glial antigen 2(NG2), pT2(35 mm), INF γ, ly2, v0, g+, f+, s+, extensive intraductal component(EIC)-negative, ICT- positive, NCAT-positive, n(4/18), estrogen receptor(ER)-negative, progesterone receptor(PgR)-negative, human epidermal growth factor receptor 2(HER2)-negative, Ki-67 30-40%. Postoperative adjuvant fluorouracil plus epirubicin HCl plus cyclophosphamide(FEC)plus paclitaxel(PTX)therapy was administered.

Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination.

Purpose: The aim of this study is to explore new salivary biomarkers to discriminate breast cancer patients from healthy controls.

Methods: Saliva samples were collected after 9 h fasting and were immediately stored at - 80 °C. Capillary electrophoresis and liquid chromatography with mass spectrometry were used to quantify hundreds of hydrophilic metabolites.

Exosome-encapsulated microRNA-223-3p as a minimally invasive biomarker for the early detection of invasive breast cancer.

Patients diagnosed preoperatively with ductal carcinoma (DCIS) breast cancer have the potential to develop invasive ductal carcinoma (IDC). The present study investigated the usefulness of exosome-encapsulated microRNA-223-3p (miR-223-3p) as a biomarker for detecting IDC in patients initially diagnosed with DCIS by biopsy. The potential association between miR-223-3p and clinicopathological characteristics was examined in patients with breast cancer.