Impact of arsenic exposure on clinicopathological characteristics of bladder cancer: A comparative study between patients from an arsenic-exposed region and nonexposed reference sites

Fernández, Mario; Valdebenito, Patricio; Delgado, Iris; Segebre, Jorge; Chaparro, Eduardo; Fuentealba, David; Castillo, M Martin; Vial, Cecilia; Barroso, J.P.; Ziegler, Annemarie; Bustamante, Alberto

doi:10.1016/j.urolonc.2019.09.013

Cited by 9 publications

(1 citation statement)

References 25 publications

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“…The prevalence of BCa appears to be low in Southeast Asia (excluding Japan), India, South Africa, and Mexico [ 4 ]. Several risk factors for BCa have been reported [ 7 ], including male sex [ 8 ], age [ 9 ], smoking [ 10 ], alcohol drinking, genetic hereditary, red meat, obesity, pathogens, and environmental contamination, including chlorinated hydrocarbons, polycyclic aromatic hydrocarbons [ 11 ], aromatic amines [ 12 ], nitrate and nitrite [ 13 ], and heavy metals such as mercury and arsenic metals [ 14 , 15 ]. BCa rarely appears before 45 years and most often appears in the later years of life, with an average age of 69 years for men and 71 years for women [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Urinary Angiogenin as a Marker for Bladder Cancer: A Meta-Analysis

Aalami

Abdeahad

Mesgari

et al. 2021

BioMed Research International

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Aims. Bladder cancer (BCa) is a common cancer in North America and Europe that carries considerable morbidity and mortality. A reliable biomarker for early detection of the bladder is crucial for improving the prognosis of BCA. In this meta-analysis, we examine the diagnostic role of the angiogenin (ANG) protein in patients’ urine with bladder neoplasm. Methods. We performed a systematic literature search using ScienceDirect, Web of Science, PubMed/MEDLINE, Scopus, Google Scholar, and Embase, up to 10th October 2020 databases. Meta-Disc V.1.4 and Comprehensive Meta-Analysis V.2.2 software calculated the pooled specificity, sensitivity, area under the curve (AUC), diagnostic odds ratio (DOR), positive likelihood ratio (LR+), negative likelihood ratio (LR-), Q ∗ index, and summary receiver-operating characteristic (SROC) for the role of ANG as a urinary biomarker for BCa patients. Results. Four case-control studies were included with 656 participants (417 cases and 239 controls) in this meta-analysis. The pooled sensitivity of 0.71 (95% CI: 0.66–0.75), specificity of 0.78 (95% CI: 0.73–0.81), LR+ of 3.34 (95% CI: 2.02–5.53), LR- of 0.37 (95% CI: 0.32–0.44), DOR of 9.99 (95% CI: 4.69–21.28), and AUC of 0.789 and Q ∗ index of 0.726 demonstrate acceptable diagnostic precision of ANG in identifying BCa. Conclusion. This meta-analysis showed that ANG could be a fair biomarker for the diagnosis of BCa patients.

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