ArticleCancer biomarkers : section A of Disease markers2019
Prognostic value of the combined expression of tumor-associated trypsin inhibitor (TATI) and p53 in patients with bladder cancer undergoing radical cystectomy.
Article in Cancer biomarkers : section A of Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 10 citations in OpenAlex.
- The therapeutic and prognostic implications of molecular biomarkers in urothelial carcinoma.Translational cancer research · 2020Review
- Diagnostic and Prognostic Potential of Biomarkers CYFRA 21.1, ERCC1, p53, FGFR3 and TATI in Bladder Cancers.International journal of molecular sciences · 2020Review
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10 authors at 2 institutions in 1 country.
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Abstract
backgroundUrothelial carcinoma of the bladder is a heterogeneous disease for which reliable prognostic molecular biomarkers have not been established.
objectiveTo investigate the prognostic value of tumor-associated trypsin inhibitor (TATI) expression combined with p53 expression in bladder cancer patients who have undergone radical cystectomy.
methodsTissue microarrays from 110 patients were analyzed immunohistochemically for TATI and p53 protein expression. Complete clinical-pathological information and follow-up data were collected. Univariable Kaplan-Meier analysis and log-rank test were performed to assess the association between TATI and p53 expression patterns with clinical outcomes. Cox's proportional hazard analysis was performed to identify potential independent risk factors for predicting disease progression and evaluate the prognostic value of combining the expression of TATI and p53 on progression-free survival (PFS) and overall survival (OS).
resultsTATI expression was positively correlated with favorable differentiation of bladder cancer, and lower tumor stage. p53 expression was positively related to tumor stage, tumor grade, and lymph-node invasion. Univariate Kaplan-Meier analysis revealed significant differences between TATI-positive vs. TATI-negative and p53-positive vs. p53-negative patients, regarding PFS. Multivariate analysis showed that both TATI and p53 expression were independent factors for predicting disease progression.
conclusionTATI expression patterns could enhance the prognostic value of p53 overexpression on progression.
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