Speckle-type POZ protein (SPOP) is an E3 ubiquitin ligase adaptor protein that functions as a potential
tumor suppressor, and SPOP mutations have been identified in ~10% of human prostate cancers.
However, it remains unclear if mutant SPOP proteins can be utilized as biomarkers for early detection,
diagnosis, prognosis or targeted therapy of prostate cancer. Moreover, the SPOP mutation sites are
distributed in a relatively short region where multiple lysine residues, posing significant challenges for
bottom-up proteomics analysis of the SPOP mutations. To address this issue, PRISM (high-pressure,
high-resolution separations coupled with intelligent selection and multiplexing)-SRM (selected reaction
monitoring) mass spectrometry assays have been developed for quantifying wild-type SPOP protein and
11 prostate cancer-derived SPOP mutations. Despite inherent limitations due to amino acid sequence
constraints, all the PRISM-SRM assays developed using Arg-C digestion showed a linear dynamic range of
at least two orders of magnitude, with limits of quantification range from 0.1 to 1 fmol/µg of total
protein in the cell lysate. Applying these SRM assays to analyze HEK293T cells with and without
expression of the three most frequent SPOP mutations in prostate cancer (Y87N, F102C or F133V) led to
confident detection of all three SPOP mutations in corresponding positive cell lines but not in the
negative cell lines. Expression of the F133V mutation and wild-type SPOP was at much lower levels
compared to that of F102C and Y87N mutations; however, at present it is unknown if this also affects
the activity of the SPOP protein. In summary, PRISM-SRM enables multiplexed, isoform-specific
detection of mutant SPOP proteins in cell lysates, which holds great potential in biomarker development
for prostate cancer.
Revised: January 14, 2021 |
Published: August 15, 2017
Citation
Wang H., C.E. Barbieri, J. He, Y. Gao, T. Shi, C. Wu, and A.A. Schepmoes, et al. 2017.Quantification of mutant SPOP proteins in prostate cancer using mass spectrometry-based targeted proteomics.Journal of Translational Medicine 15.PNNL-SA-125993.doi:10.1186/s12967-017-1276-7