BACKGROUND: There is an unmet clinical need for economic, minimally invasive procedures that use a limited number of cells for the molecular profiling of tumors in individual patients. Reverse-phase protein microarray (RPPM) technology has been applied successfully to the quantitative analysis of breast, ovarian, prostate, and colorectal cancers using frozen surgical specimens. METHODS: For this report, the authors investigated the novel use of RPPM technology for the analysis of both archival cytology aspirate smears and frozen fine-needle aspiration (FNA) samples. RPPMs were printed with 63 breast FNA samples that were obtained before, during, and after treatment from 21 patients who were enrolled in a Phase II trial of neoadjuvant capecitabine and docetaxel therapy for breast cancer. RESULTS: Based on an MCF7 cell line model of breast adenocarcinoma, the sensitivity of the RPPM detection method was in the femtomolar range with a coefficient of variance <13.5% for the most dilute sample. Assay linearity was noted from 1.0 microg/microL to 7.8 ng/microL total protein/array spot (R(2) = 0.9887) for a membrane receptor protein (epidermal growth factor receptor; R(2) = 0.9935). CONCLUSIONS: The results from this study indicated that low-abundance analytes and phosphorylated and nonphosphorylated proteins in specimens that consist of a few thousand cells obtained through FNA can be quantified with RPPM technology. The ability to monitor the in vivo state of cell-signaling proteins before and after treatment potentially will augment the ability to design individualized therapy regimens through the mapping of aberrant cell-signaling phenotypes. The mapping of these protein pathways will further the development of rational drug targets.
BACKGROUND: There is an unmet clinical need for economic, minimally invasive procedures that use a limited number of cells for the molecular profiling of tumors in individual patients. Reverse-phase protein microarray (RPPM) technology has been applied successfully to the quantitative analysis of breast, ovarian, prostate, and colorectal cancers using frozen surgical specimens. METHODS: For this report, the authors investigated the novel use of RPPM technology for the analysis of both archival cytology aspirate smears and frozen fine-needle aspiration (FNA) samples. RPPMs were printed with 63 breast FNA samples that were obtained before, during, and after treatment from 21 patients who were enrolled in a Phase II trial of neoadjuvant capecitabine and docetaxel therapy for breast cancer. RESULTS: Based on an MCF7 cell line model of breast adenocarcinoma, the sensitivity of the RPPM detection method was in the femtomolar range with a coefficient of variance <13.5% for the most dilute sample. Assay linearity was noted from 1.0 microg/microL to 7.8 ng/microL total protein/array spot (R(2) = 0.9887) for a membrane receptor protein (epidermal growth factor receptor; R(2) = 0.9935). CONCLUSIONS: The results from this study indicated that low-abundance analytes and phosphorylated and nonphosphorylated proteins in specimens that consist of a few thousand cells obtained through FNA can be quantified with RPPM technology. The ability to monitor the in vivo state of cell-signaling proteins before and after treatment potentially will augment the ability to design individualized therapy regimens through the mapping of aberrant cell-signaling phenotypes. The mapping of these protein pathways will further the development of rational drug targets.
Authors: Virginia Espina; Kirsten H Edmiston; Michael Heiby; Mariaelena Pierobon; Manuela Sciro; Barbara Merritt; Stacey Banks; Jianghong Deng; Amy J VanMeter; David H Geho; Lucia Pastore; Joel Sennesh; Emanuel F Petricoin; Lance A Liotta Journal: Mol Cell Proteomics Date: 2008-07-30 Impact factor: 5.911
Authors: Mariaelena Pierobon; Corinne Ramos; Shukmei Wong; K Alex Hodge; Jessica Aldrich; Sara Byron; Stephen P Anthony; Nicholas J Robert; Donald W Northfelt; Mohammad Jahanzeb; Linda Vocila; Julia Wulfkuhle; Guido Gambara; Rosa I Gallagher; Bryant Dunetz; Nicholas Hoke; Ting Dong; David W Craig; Massimo Cristofanilli; Brian Leyland-Jones; Lance A Liotta; Joyce A O'Shaughnessy; John D Carpten; Emanuel F Petricoin Journal: Clin Cancer Res Date: 2017-04-26 Impact factor: 12.531
Authors: Maryam Goudarzi; Mark M Ross; Weidong Zhou; Amy Van Meter; Jianghong Deng; Lisa M Martin; Chidima Martin; Lance Liotta; Emanuel Petricoin; Niv Ad Journal: J Proteome Res Date: 2011-07-08 Impact factor: 4.466
Authors: Janine G Einspahr; Valerie Calvert; David S Alberts; Clara Curiel-Lewandrowski; James Warneke; Robert Krouse; Steven P Stratton; Lance Liotta; Caterina Longo; Giovanni Pellacani; Giovanni Pellicani; Anil Prasad; Paul Sagerman; Yira Bermudez; Jianghong Deng; G Timothy Bowden; Emanuel F Petricoin Journal: Cancer Prev Res (Phila) Date: 2012-03
Authors: Pavel Gromov; Julio E Celis; Irina Gromova; Fritz Rank; Vera Timmermans-Wielenga; José M A Moreira Journal: Mol Oncol Date: 2008-10-02 Impact factor: 6.603