Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2006 Apr 15;12(8):2463-7.
doi: 10.1158/1078-0432.CCR-05-1479.

Measuring tissue-based biomarkers by immunochromatography coupled with reverse-phase lysate microarray

Affiliations

Measuring tissue-based biomarkers by immunochromatography coupled with reverse-phase lysate microarray

Martin J Romeo et al. Clin Cancer Res. .

Abstract

Purpose: There is a need for new technologies to study tissue-based biomarkers. The current gold standard, immunohistochemistry, is compromised by variability in tissue processing and observer bias. Reverse transcription-PCR (RT-PCR), immunocytochemistry, and reverse-phase lysate microarrays (RPM) are promising alternative technologies but have not yet been validated, or correlated, on the same patient-derived tissues. Furthermore, RPM is currently limited by time-consuming microdissection and low amounts of evaluable protein lysates.

Experimental design: Metastatic melanoma was surgically excised from 30 patients and macroscopically dissected from surrounding stroma. Each specimen was processed by formalin-fixation (immunohistochemistry), cytospin (immunocytochemistry), or disaggreagation and enrichment (RT-PCR and RPM). The latter protocol uses immunochromatography to remove hematopoetic-derived cells, thus enriching for melanoma cells. Each sample was measured for the expression of gp100 or MART-1 normalized to actin.

Results: Immunochromatography coupled with RPM (I-RPM) is reproducible (r >/= 0.70) and, for gp100, correlates strongly with immunohistochemistry and immunocytochemistry (r = 0.78 and 0.76, respectively) and moderately with transcript levels, measured by RT-PCR (r = 0.61). In contrast, for MART-1, I-RPM correlates strongly with transcript level (r = 0.78) but only moderately strong correlations are noted with immunohistochemistry and immunocytochemistry (r = 0.64 and 0.59, respectively). In general, transcript levels show only moderately strong correlations with immunohistochemistry and immunocytochemistry (r = 0.41-0.64).

Conclusion: I-RPM is a promising technology for quantitative grading of tissue biomarkers; however, antigen-dependent correlations are noted.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Summary of tissue processing. Surgically excised melanoma tumor specimens were macroscopically dissected free of benign stroma and then subjected to fine needle aspiration (for immunocytochemistry), formalin fixation (for immunohistochemistry), or enrichment by negative immunochromatography (for RPM and RT-PCR). The latter purification separates disaggregated cells (TOTAL) into leukocytes/histiocytes (CD45+) and tumor (MEL) fractions.
Fig. 2
Fig. 2
Processing of disaggregated cells from melanoma tumors by negative I-RPM. A, cytospin preparations (stained with Diffquick) reveal almost complete purity of melanoma (large arrows) in the MEL fractions and infiltrating leukocytes (small arrows) in theTOTAL fraction. B, lysates fromTOTAL, MEL, and CD45+ fractions were arrayed in minidilution format onto multiple slides.The slides were then stained with antibodies to gp100, S100, actin, and CD45 (leukocyte common antigen, LCA) or negative control.

References

    1. Zolg JW, Langen H. How industry is approaching the search for new diagnostic markers and biomarkers. Mol Cell Proteomics. 2004;3:345–54. - PubMed
    1. Taylor CR. The total test approach to standardization of immunohistochemistry. [see comment] Arch Pathol Lab Med. 2000;124:945–51. - PubMed
    1. Stoughton RB, Friend SH. Innovation: how molecular profiling could revolutionize drug discovery. Nat Rev Drug Discov. 2005;4:345–50. - PubMed
    1. Liotta LA, Espina V, Mehta AI, et al. Protein microarrays: meeting analytical challenges for clinical applications. Cancer Cell. 2003;3:317–25. - PubMed
    1. Chan SM, Ermann J, Su L, Fathman CG, Utz PJ. Protein microarrays for multiplex analysis of signal transduction pathways. Nat Med. 2004;10:1390–6. - PubMed

MeSH terms