关键词: Biomarker ELISA Estrogen-negative breast cancer NOHA

Mesh : Arginine / blood Biomarkers, Tumor / blood deficiency Breast Neoplasms / blood chemistry pathology therapy Chromatography, High Pressure Liquid Enzyme-Linked Immunosorbent Assay Female Humans Limit of Detection Neoplasm Staging Predictive Value of Tests Receptors, Estrogen / deficiency Reproducibility of Results Spectrometry, Mass, Electrospray Ionization

来  源:   DOI:10.1016/j.jim.2019.112671   PDF(Sci-hub)

Abstract:
Estrogen-negative (ER-) breast cancer, is recognized as an aggressive subtype, more difficult to treat, with poor survival and prognosis. They are hormonally unresponsive, with no readily effective and specific target therapy. We have previously identified Nw-hydroxy L-Arginine (NOHA) as a blood-based biomarker to distinguish between ER- and ER+ breast cancer tumors based upon disease burden, progression and molecular phenotype (U.S. Utility Patent 10,073,099). In this study we have demonstrated a competitive ELISA based assay for NOHA measurement using a proprietary monoclonal antibody (mAb) specific for NOHA (U.S. provisional patent 62/754,053). The ELISA assay was evaluated on sensitivity, selectivity, precision, dilution linearity and percent recovery parameters. The assay showed sensitivity at ≥60 pg/ml NOHA antigen with 1 ng/ml NOHA mAb, and maintained NOHA antigen specificity even in the presence of other closely related cationic amino acids (i.e. L-Arginine, D-Arginine, l-Lysine, d-Lysine, L-Ornithine, and L-Citrulline). The reliability of the ELISA protocol was confirmed with the low percent-covariance, for all tested parameters of sensitivity (≤8.2%), selectivity (≤8.6%), precision (≤12.6%), dilution linearity (≤11.2%) and recovery (≤6.7%). Additionally, we can demonstrate NOHA quantification by this ELISA assay to complement the sensitivity achievable with LC-MS (in both assay buffer and with patient plasma samples), thus suggesting it\'s utility as a simple yet sensitive methodology that might help in ER- breast cancer prognosis, and disease progression monitoring without the need for expensive analytical equipment (such as LC-MS), large lab space, or specialized technical training.
摘要:
暂无翻译
公众号