Literature DB >> 12472280

Proteomic evaluation of archival cytologic material using SELDI affinity mass spectrometry: potential for diagnostic applications.

Patricia A Fetsch1, Nicole L Simone, Peter K Bryant-Greenwood, Francesco M Marincola, Armando C Filie, Emmanuel F Petricoin, Lance A Liotta, Andrea Abati.   

Abstract

Proteomic studies of cells via surface-enhanced laser desorption/ionization spectrometry (SELDI) analysis have enabled rapid, reproducible protein profiling directly from crude samples. We applied this technique to archival cytology material to determine whether distinct, reproducible protein fingerprints could be identifiedfor potential diagnostic purposes in blinded specimens. Rapid Romanowsky-stained cytocentrifuged specimens from fine-needle aspirates of metastatic malignant melanoma (with both known cutaneous primary and unknown primary sites), clear cell sarcoma, and renal cell carcinoma and reactive effusions were examined using the SELDI technology. A unique characteristic fingerprint was identified for each disease entity. Fifteen "blinded" unknown samples then were analyzed. When the protein profilefingerprints were plotted against the known fingerprints for the aforementioned diagnoses, the appropriate match or diagnosis was obtained in 13 (87%) of 15 cases. These preliminary findings suggest a substantial potential for SELDI applications to specific pathologic diagnoses.

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Year:  2002        PMID: 12472280     DOI: 10.1309/EJKL-7328-KFPR-56WA

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  8 in total

1.  Diagnostic molecular pathology, part 2: proteomics and clinical applications of molecular diagnostics in hematopathology.

Authors:  Georges J Netto; Rana Saad
Journal:  Proc (Bayl Univ Med Cent)       Date:  2005-01

Review 2.  [Identification of biomarkers and therapeutic targets for renal cell cancer using ProteinChip technology].

Authors:  K Junker; F von Eggeling; J Müller; T Steiner; J Schubert
Journal:  Urologe A       Date:  2006-03       Impact factor: 0.639

Review 3.  Proteomic analysis of soft tissue sarcoma.

Authors:  Yoshiyuki Suehara
Journal:  Int J Clin Oncol       Date:  2011-03-09       Impact factor: 3.402

Review 4.  Key clinical issues in renal cancer: a challenge for proteomics.

Authors:  Rosamonde E Banks; Rachel A Craven; Patricia Harnden; Sanjeev Madaan; Adrian Joyce; Peter J Selby
Journal:  World J Urol       Date:  2007-08-25       Impact factor: 4.226

5.  Liquid chromatography-tandem and MALDI imaging mass spectrometry analyses of RCL2/CS100-fixed, paraffin-embedded tissues: proteomics evaluation of an alternate fixative for biomarker discovery.

Authors:  Alain Mangé; Pierre Chaurand; Helene Perrochia; Pascal Roger; Richard M Caprioli; Jérôme Solassol
Journal:  J Proteome Res       Date:  2009-12       Impact factor: 4.466

6.  Availability and quality of paraffin blocks identified in pathology archives: a multi-institutional study by the Shared Pathology Informatics Network (SPIN).

Authors:  Ashokkumar A Patel; Dilipkumar Gupta; David Seligson; Eyas M Hattab; Ulysses J Balis; Thomas M Ulbright; Isaac S Kohane; Jules J Berman; John R Gilbertson; Sarah Dry; Osvaldo Schirripa; Hong Yu; Michael J Becich; Anil V Parwani
Journal:  BMC Cancer       Date:  2007-02-28       Impact factor: 4.430

7.  Discovery of biomarkers for osteosarcoma by proteomics approaches.

Authors:  Yoshiyuki Suehara; Daisuke Kubota; Kazutaka Kikuta; Kazuo Kaneko; Akira Kawai; Tadashi Kondo
Journal:  Sarcoma       Date:  2012-11-21

8.  Method of regulatory network that can explore protein regulations for disease classification.

Authors:  Hong Qiang Wang; Hai Long Zhu; William C S Cho; Timothy T C Yip; Roger K C Ngan; Stephen C K Law
Journal:  Artif Intell Med       Date:  2009-12-03       Impact factor: 5.326

  8 in total

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