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HSP27/Menin Expression as New Prognostic Serum Biomarkers of Prostate Cancer Aggressiveness Independent of PSA
SIMPLE SUMMARY: Cancer biomarkers are biomolecules synthesized by the tumor cell and have a role in early detection of cancer and determining its stage and progression. HSP27 and Menin are biomolecules involved in tumorigenesis and cancer progression; they are overexpressed in many cancers and could...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562023/ https://www.ncbi.nlm.nih.gov/pubmed/36230697 http://dx.doi.org/10.3390/cancers14194773 |
Sumario: | SIMPLE SUMMARY: Cancer biomarkers are biomolecules synthesized by the tumor cell and have a role in early detection of cancer and determining its stage and progression. HSP27 and Menin are biomolecules involved in tumorigenesis and cancer progression; they are overexpressed in many cancers and could be useful as biomarkers. However, the overexpression of HSP27 and Menin in the serum of prostate cancer (PCa) patients and the correlation they have with their tissue expression, as well as their correlation with the clinical data, have not been explored yet. In this study, we first investigated the correlations between HSP27 and Menin in PCa patients, and then we examined the signification of HSP27/Menin in the diagnosis and prognosis of PCa using ROC analysis. Our results suggest that HSP27/Menin are dependent biomarkers in aggressive PCa and are significantly associated with poor prognosis; they could be used in the diagnosis and clinical decision making of individual PCa patients. ABSTRACT: The screening of PCa is based on two tests, the total PSA test and the rectal examination. However, PSA is not specific for PCa stage confirmation, leading in false positive result and involving PCa over-diagnosis and over-treatment. HSP27 and Menin have been found to be overexpressed in a wide range of human cancers. Recent studies showed how HSP27 interacts with and stabilizes Menin to lead PCa progression and treatment resistance. The purpose of our study was to evaluate the correlation of HSP27 and Menin molecular expression, and their prognosis value in PCa with respect to clinicopathological features. Elisa was employed to measure serum HSP27 and Menin concentrations in 73 PCa patients and 80 healthy individuals. Immunohistochemistry (IHC) was used to determine HSP27 and Menin tissue expression in 57 tumors and 4 Benign Prostatic Hyperplasia (BPH) tissues. Serum HSP27 expression correlated with its tissue expression in all PCa patients, whereas serum Menin expression correlated only with tissue expression in aggressive PCa patients. Moreover, the results showed a positive correlation between HSP27 and Menin either in serum (r = 0.269; p = 0.021) or in tissue (r = 0.561; p < 0.0001). In aggressive PCa, serum expression of HSP27 and Menin was positively correlated (r = 0.664; R = 0.441; p = 0.001). The correlation between HSP27 and Menin expression in tissue was found only in patients with aggressive PCa (r = 0.606; R = 0.367; p = 0.004). Statistical analysis showed that the expression of both biomarkers was positively correlated with the hormone resistance or sensitivity, tumor aggressiveness, metastasis, Gleason Score, death and did not significantly correlate with age and PSA. Survival was illustrated by Kaplan–Meier curves; increased HSP27 and Menin expression correlated with shorter survival of PCa patients (p = 0.001 and p < 0.0001, respectively). Accuracy in predicting aggressiveness was quantified by the Area Under the Curve (AUC) of Receiver Operating Characteristic (ROC). We demonstrated that the combination of HSP27/Menin was statistically greater than PSA; it achieved an AUC of 0.824 (95% CI, 0.730–0.918; p < 0.0001). However, HSP27/Menin/PSA combination decreased the diagnostic value with an AUC of 0.569 (95% CI, 0.428–0.710; p = 0.645). Our work suggests the potential role of HSP27/Menin as diagnostic and prognostic biomarkers. |
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