Literature DB >> 18615426

Validation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: accurate detection of CA19-9 levels in pancreatic cancer.

Tobias Grote1, Doris R Siwak, Herbert A Fritsche, Corwin Joy, Gordon B Mills, Diane Simeone, David C Whitcomb, Craig D Logsdon.   

Abstract

The current study analyzed reverse phase protein arrays (RPPA) as a means to experimentally validate biomarkers in blood samples. One microliter samples of sera (n = 71), and plasma (n = 78) were serially diluted and printed on NC-coated slides. CA19-9 levels from RPPA results were compared with identical patient samples as measured by ELISA. There was a strong correlation between RPPA and ELISA (r = 0.87) as determined by scatter plots. Sample reproducibility of CA19-9 levels was excellent (interslide correlation r = 0.88; intraslide correlation r = 0.83). The ability of RPPA to accurately distinguish CA19-9 levels between cancer and noncancer samples were determined using receiver operating characteristic curves and compared with ELISA. The AUC for RPPA and ELISA was comparable (0.87 and 0.86, respectively). When the mean CA19-9 levels of normal samples was used as a cutoff for RPPA and compared with the standard clinical ELISA cutoff, comparable specificities (71% for both) were observed. Notably, RPPA samples normalized to albumin showed increased sensitivity compared to ELISA (90% vs. 75%). As RPPA is a high-throughput method that shows results comparable to that of ELISA, we propose that RPPA is a viable technique for rapid experimental screening and validation of candidate biomarkers in blood samples.

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Year:  2008        PMID: 18615426      PMCID: PMC2992687          DOI: 10.1002/pmic.200700951

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  30 in total

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2.  Pegylated, steptavidin-conjugated quantum dots are effective detection elements for reverse-phase protein microarrays.

Authors:  David Geho; Nicholas Lahar; Prem Gurnani; Michael Huebschman; Paul Herrmann; Virginia Espina; Alice Shi; Julia Wulfkuhle; Harold Garner; Emanuel Petricoin; Lance A Liotta; Kevin P Rosenblatt
Journal:  Bioconjug Chem       Date:  2005 May-Jun       Impact factor: 4.774

3.  Non-parametric quantification of protein lysate arrays.

Authors:  Jianhua Hu; Xuming He; Keith A Baggerly; Kevin R Coombes; Bryan T J Hennessy; Gordon B Mills
Journal:  Bioinformatics       Date:  2007-06-28       Impact factor: 6.937

4.  Reverse phase protein array: validation of a novel proteomic technology and utility for analysis of primary leukemia specimens and hematopoietic stem cells.

Authors:  Raoul Tibes; Yihua Qiu; Yiling Lu; Bryan Hennessy; Michael Andreeff; Gordon B Mills; Steven M Kornblau
Journal:  Mol Cancer Ther       Date:  2006-10       Impact factor: 6.261

5.  Serum microarrays for large scale screening of protein levels.

Authors:  Magdalena Janzi; Jenny Odling; Qiang Pan-Hammarström; Mårtenn Sundberg; Joakim Lundeberg; Mathias Uhlén; Lennart Hammarström; Peter Nilsson
Journal:  Mol Cell Proteomics       Date:  2005-08-29       Impact factor: 5.911

6.  Reverse phase protein microarrays which capture disease progression show activation of pro-survival pathways at the cancer invasion front.

Authors:  C P Paweletz; L Charboneau; V E Bichsel; N L Simone; T Chen; J W Gillespie; M R Emmert-Buck; M J Roth; E F Petricoin III; L A Liotta
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7.  Validating a custom multiplex ELISA against individual commercial immunoassays using clinical samples.

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Journal:  Biotechniques       Date:  2007-03       Impact factor: 1.993

8.  Quantum dots-based reverse phase protein microarray.

Authors:  Masato Shingyoji; Daniele Gerion; Dan Pinkel; Joe W Gray; Fanqing Chen
Journal:  Talanta       Date:  2005-08-10       Impact factor: 6.057

9.  CEACAM1, a novel serum biomarker for pancreatic cancer.

Authors:  Diane M Simeone; Baoan Ji; Mousumi Banerjee; Thiruvengadam Arumugam; Dawei Li; Michelle A Anderson; Ann Marie Bamberger; Joel Greenson; Randal E Brand; Vijaya Ramachandran; Craig D Logsdon
Journal:  Pancreas       Date:  2007-05       Impact factor: 3.327

10.  Glycoprotein microarrays with multi-lectin detection: unique lectin binding patterns as a tool for classifying normal, chronic pancreatitis and pancreatic cancer sera.

Authors:  Jia Zhao; Tasneem H Patwa; Weilian Qiu; Kerby Shedden; Robert Hinderer; David E Misek; Michelle A Anderson; Diane M Simeone; David M Lubman
Journal:  J Proteome Res       Date:  2007-04-12       Impact factor: 4.466

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  33 in total

1.  Reno: regularized non-parametric analysis of protein lysate array data.

Authors:  Bin Li; Feng Liang; Jianhua Hu; And Xuming He
Journal:  Bioinformatics       Date:  2012-03-30       Impact factor: 6.937

2.  Variable slope normalization of reverse phase protein arrays.

Authors:  E Shannon Neeley; Steven M Kornblau; Kevin R Coombes; Keith A Baggerly
Journal:  Bioinformatics       Date:  2009-03-31       Impact factor: 6.937

Review 3.  Moonshot Objectives: Catalyze New Scientific Breakthroughs-Proteogenomics.

Authors:  Karin D Rodland; Paul Piehowski; Richard D Smith
Journal:  Cancer J       Date:  2018 May/Jun       Impact factor: 3.360

Review 4.  Dissecting protein function and signaling using protein microarrays.

Authors:  Alejandro Wolf-Yadlin; Mark Sevecka; Gavin MacBeath
Journal:  Curr Opin Chem Biol       Date:  2009-08-05       Impact factor: 8.822

5.  Development of a robust classifier for quality control of reverse-phase protein arrays.

Authors:  Zhenlin Ju; Wenbin Liu; Paul L Roebuck; Doris R Siwak; Nianxiang Zhang; Yiling Lu; Michael A Davies; Rehan Akbani; John N Weinstein; Gordon B Mills; Kevin R Coombes
Journal:  Bioinformatics       Date:  2014-11-06       Impact factor: 6.937

Review 6.  Using reverse-phase protein arrays as pharmacodynamic assays for functional proteomics, biomarker discovery, and drug development in cancer.

Authors:  Yiling Lu; Shiyun Ling; Apurva M Hegde; Lauren A Byers; Kevin Coombes; Gordon B Mills; Rehan Akbani
Journal:  Semin Oncol       Date:  2016-06-15       Impact factor: 4.929

7.  Realizing the promise of reverse phase protein arrays for clinical, translational, and basic research: a workshop report: the RPPA (Reverse Phase Protein Array) society.

Authors:  Rehan Akbani; Karl-Friedrich Becker; Neil Carragher; Ted Goldstein; Leanne de Koning; Ulrike Korf; Lance Liotta; Gordon B Mills; Satoshi S Nishizuka; Michael Pawlak; Emanuel F Petricoin; Harvey B Pollard; Bryan Serrels; Jingchun Zhu
Journal:  Mol Cell Proteomics       Date:  2014-04-28       Impact factor: 5.911

8.  Increasing the sensitivity of reverse phase protein arrays by antibody-mediated signal amplification.

Authors:  Jan C Brase; Heiko Mannsperger; Holger Fröhlich; Stephan Gade; Christian Schmidt; Stefan Wiemann; Tim Beissbarth; Thorsten Schlomm; Holger Sültmann; Ulrike Korf
Journal:  Proteome Sci       Date:  2010-06-22       Impact factor: 2.480

9.  Development of reverse phase protein microarrays for the validation of clusterin, a mid-abundant blood biomarker.

Authors:  Adriana Aguilar-Mahecha; Christiane Cantin; Maureen O'Connor-McCourt; Andre Nantel; Mark Basik
Journal:  Proteome Sci       Date:  2009-04-06       Impact factor: 2.480

10.  Serum S100A6 concentration predicts peritoneal tumor burden in mice with epithelial ovarian cancer and is associated with advanced stage in patients.

Authors:  Bih-Rong Wei; Shelley B Hoover; Mark M Ross; Weidong Zhou; Francesco Meani; Jennifer B Edwards; Elizabeth I Spehalski; John I Risinger; W Gregory Alvord; Octavio A Quiñones; Claudio Belluco; Luca Martella; Elio Campagnutta; Antonella Ravaggi; Ren-Ming Dai; Paul K Goldsmith; Kevin D Woolard; Sergio Pecorelli; Lance A Liotta; Emanuel F Petricoin; R Mark Simpson
Journal:  PLoS One       Date:  2009-10-30       Impact factor: 3.240

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