Medicine and Health Sciences Commons^™

Detection And Characterization Of Circulating Tumor Associated Cells In Metastatic Breast Cancer., Zhaomei Mu, Naoual Benali-Furet, Georges Uzan, Anaëlle Znaty, Zhong Ye, Carmela Paolillo, Chun Wang, Laura Austin, Giovanna Rossi, Paolo Fortina, Hushan Yang, Massimo Cristofanilli

Department of Medical Oncology Faculty Papers

The availability of blood-based diagnostic testing using a non-invasive technique holds promise for real-time monitoring of disease progression and treatment selection. Circulating tumor cells (CTCs) have been used as a prognostic biomarker for the metastatic breast cancer (MBC). The molecular characterization of CTCs is fundamental to the phenotypic identification of malignant cells and description of the relevant genetic alterations that may change according to disease progression and therapy resistance. However, the molecular characterization of CTCs remains a challenge because of the rarity and heterogeneity of CTCs and technological difficulties in the enrichment, isolation and molecular characterization of CTCs. In this …

Long Non-Coding Rnas As Prognostic Markers In Human Breast Cancer, Hairong Liu, Juan Li, Pratirodh Koirala, Xianfeng Ding, Binghai Chen, Yiheng Wang, Zheng Wang, Chuanxin Wang, Xu Zhang, Yin-Yuan Mo

Faculty Publications

Long non-coding RNAs (lncRNAs) have been recently shown to play an important role in gene regulation and normal cellular functions, and disease processes. However, despite the overwhelming number of lncRNAs identified to date, little is known about their role in cancer for vast majority of them. The present study aims to determine whether lncRNAs can serve as prognostic markers in human breast cancer. We interrogated the breast invasive carcinoma dataset of the Cancer Genome Atlas (TCGA) at the cBioPortal consisting of ~ 1,000 cases. Among 2,730 lncRNAs analyzed, 577 lncRNAs had alterations ranging from 1% to 32% frequency, which include …

1h-Nmr Urinary Metabolomic Profiling For Diagnosis Of Gastric Cancer, Angela W. Chan, Pascal Mercier, Daniel Schiller, Robert Bailey, Sarah Robbins, Dean T. Eurich, Michael B. Sawyer, David Broadhurst

Research outputs 2014 to 2021

Background:

Metabolomics has shown promise in gastric cancer (GC) detection. This research sought to identify whether GC has a unique urinary metabolomic profile compared with benign gastric disease (BN) and healthy (HE) patients.

Methods:

Urine from 43 GC, 40 BN, and 40 matched HE patients was analysed using ¹H nuclear magnetic resonance (¹H-NMR) spectroscopy, generating 77 reproducible metabolites (QC-RSD < 25%). Univariate and multivariate (MVA) statistics were employed. A parsimonious biomarker profile of GC vs HE was investigated using LASSO regularised logistic regression (LASSO-LR). Model performance was assessed using Receiver Operating Characteristic (ROC) curves.

Results:

GC displayed a clear discriminatory biomarker profile; the BN profile overlapped with GC and HE. LASSO-LR identified …