Yining Shi
Monogram Biosciences
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Publication
Featured researches published by Yining Shi.
Diagnostic Molecular Pathology | 2009
Yining Shi; Weidong Huang; Yuping Tan; Xueguang Jin; Rajiv Dua; Elicia Penuel; Ali Mukherjee; Jeff Sperinde; Herjit Pannu; Ahmed Chenna; Lisa DeFazio-Eli; Sailaja Pidaparthi; Youssouf Badal; Gerald Wallweber; Lili Chen; Steve Williams; Hasan Tahir; Jeffrey S. Larson; Laurie Goodman; Jeannette M. Whitcomb; Christos J. Petropoulos; John W. Winslow
The availability of drugs targeting the EGFR/HER/erbB signaling pathway has created a need for diagnostics that accurately predict treatment responses. We have developed and characterized a novel assay to provide sensitive and quantitative measures of HER proteins and homodimers in formalin-fixed, paraffin-embedded (FFPE) cell lines and breast tumor tissues, to test these variables. In the VeraTag assay, HER proteins and homodimers are detected through the release of fluorescent tags conjugated to specific HER antibodies, requiring proximity to a second HER antibody. HER2 protein quantification was normalized to tumor area, and compared to receptor numbers in 12 human tumor cell lines determined by fluorescence-activated cell sorting (FACS), and with HER immunohistochemistry (IHC) test categories and histoscores in cell lines and 170 breast tumors. HER1 and HER2 expression levels determined by the VeraTag assay are proportional to receptor number over more than a 2 log10 range, and HER homodimer levels are consistent with crosslinking and immunoprecipitation results. VeraTag HER2 measurements of breast tumor tissue and cell lines correlate with standard IHC test categories (P<0.001). VeraTag HER2 levels also agree with IHC histoscores at lower HER2 protein levels, but are continuous and overlapping between IHC test categories, extending the dynamic range 5-fold to 10-fold at higher HER2 levels. The VeraTag assay specifically and reproducibly measures HER1 and HER2 protein and homodimers in FFPE tissues. The continuous measure of HER2 protein levels over a broad dynamic range, and the novel HER2 homodimer measure, are presently being assessed as predictive markers for responses to targeted HER2 therapy.
Breast Cancer Research and Treatment | 2013
Allan Lipton; Laurie Goodman; Kim Leitzel; Jennifer W. Cook; Jeff Sperinde; Mojgan Haddad; Wolfgang J. Köstler; Weidong Huang; Jodi Weidler; Suhail M. Ali; Alicia Newton; Eva-Marie Fuchs; Agnes Paquet; Christian F. Singer; Reinhard Horvat; Xueguang Jin; Joyee Banerjee; Ali Mukherjee; Yuping Tan; Yining Shi; Ahmed Chenna; Jeffrey S. Larson; Yolanda Lie; Thomas Sherwood; Christos J. Petropoulos; Stephen Williams; John Winslow; Gordon Parry; Michael Bates
Trastuzumab is effective in the treatment of HER2/neu over-expressing breast cancer, but not all patients benefit from it. In vitro data suggest a role for HER3 in the initiation of signaling activity involving the AKT–mTOR pathway leading to trastuzumab insensitivity. We sought to investigate the potential of HER3 alone and in the context of p95HER2 (p95), a trastuzumab resistance marker, as biomarkers of trastuzumab escape. Using the VeraTag® assay platform, we developed a dual antibody proximity-based assay for the precise quantitation of HER3 total protein (H3T) from formalin-fixed paraffin-embedded (FFPE) breast tumors. We then measured H3T in 89 patients with metastatic breast cancer treated with trastuzumab-based therapy, and correlated the results with progression-free survival and overall survival using Kaplan–Meier and decision tree analyses that also included HER2 total (H2T) and p95 expression levels. Within the sub-population of patients that over-expressed HER2, high levels of HER3 and/or p95 protein expression were significantly associated with poor clinical outcomes on trastuzumab-based therapy. Based on quantitative H3T, p95, and H2T measurements, multiple subtypes of HER2-positive breast cancer were identified that differ in their outcome following trastuzumab therapy. These data suggest that HER3 and p95 are informative biomarkers of clinical outcomes on trastuzumab therapy, and that multiple subtypes of HER2-positive breast cancer may be defined by quantitative measurements of H3T, p95, and H2T.
Pathology Research International | 2010
Jeffrey S. Larson; Laurie Goodman; Yuping Tan; Lisa DeFazio-Eli; Agnes Paquet; Jennifer W. Cook; Amber Rivera; Kristi Frankson; Jolly Bose; Lili Chen; Judy Cheung; Yining Shi; Sarah Irwin; Linda D. B. Kiss; Weidong Huang; Shannon Utter; Thomas Sherwood; Michael Bates; Jodi Weidler; Gordon Parry; John W. Winslow; Christos J. Petropoulos; Jeannette M. Whitcomb
We report here the results of the analytical validation of assays that measure HER2 total protein (H2T) and HER2 homodimer (H2D) expression in Formalin Fixed Paraffin Embedded (FFPE) breast cancer tumors as well as cell line controls. The assays are based on the VeraTag technology platform and are commercially available through a central CAP-accredited clinical reference laboratory. The accuracy of H2T measurements spans a broad dynamic range (2-3 logs) as evaluated by comparison with cross-validating technologies. The measurement of H2T expression demonstrates a sensitivity that is approximately 7–10 times greater than conventional immunohistochemistry (IHC) (HercepTest). The HERmark assay is a quantitative assay that sensitively and reproducibly measures continuous H2T and H2D protein expression levels and therefore may have the potential to stratify patients more accurately with respect to response to HER2-targeted therapies than current methods which rely on semiquantitative protein measurements (IHC) or on indirect assessments of gene amplification (FISH).
Archive | 2003
Po-Ying Chan-Hui; Yining Shi; Sailaja Pidaparthi; Rajiv Dua; Sharat Singh
Archive | 2004
Po-Ying Chan-Hui; Rajiv Dua; Ali Mukherjee; Sailaja Pidaparthi; Hossein Salimi-Moosavi; Yining Shi; Sharat Singh
Archive | 2007
Po-Ying Chan-Hui; Rajiv Dua; Ali Mukherjee; Sailaja Pidaparthi; Hossein Salimi-Moosavi; Yining Shi; Sharat Singh
Archive | 2004
Po-Ying Chan-Yui; Sharat Singh; Hossein Salimi-Moosavi; Yining Shi; Sailaja Pidaparthi; Rajiv Dua; Ali Mukherjee
Archive | 2004
Po-Ying Chan-Hui; Rajiv Dua; Ali Mukherjee; Sailaja Pidaparthi; Hossein Salimi-Moosavi; Yining Shi; Sharat Singh
Archive | 2005
Po-Ying Chan-Hui; Rajiv Dua; Ali Mukherjee; Sailaja Pidaparthi; Hossein Salimi-Moosavi; Yining Shi; Sharat Singh
Archive | 2004
Po-Ying Chan-Hui; Yining Shi; Sailaja Pidaparthi; Rajiv Dua; Sharat Singh