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Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis
Bladder cancer occurs in the epithelial lining of the urinary bladder and is amongst the most common types of cancer in humans, killing thousands of people a year. This paper is based on the hypothesis that the use of clinical and histopathological data together with information about the concentrat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383273/ https://www.ncbi.nlm.nih.gov/pubmed/25866762 http://dx.doi.org/10.1155/2015/168682 |
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author | Redondo-Gonzalez, Enrique de Castro, Leandro Nunes Moreno-Sierra, Jesús Maestro de las Casas, María Luisa Vera-Gonzalez, Vicente Ferrari, Daniel Gomes Corchado, Juan Manuel |
author_facet | Redondo-Gonzalez, Enrique de Castro, Leandro Nunes Moreno-Sierra, Jesús Maestro de las Casas, María Luisa Vera-Gonzalez, Vicente Ferrari, Daniel Gomes Corchado, Juan Manuel |
author_sort | Redondo-Gonzalez, Enrique |
collection | PubMed |
description | Bladder cancer occurs in the epithelial lining of the urinary bladder and is amongst the most common types of cancer in humans, killing thousands of people a year. This paper is based on the hypothesis that the use of clinical and histopathological data together with information about the concentration of various molecular markers in patients is useful for the prediction of outcomes and the design of treatments of nonmuscle invasive bladder carcinoma (NMIBC). A population of 45 patients with a new diagnosis of NMIBC was selected. Patients with benign prostatic hyperplasia (BPH), muscle invasive bladder carcinoma (MIBC), carcinoma in situ (CIS), and NMIBC recurrent tumors were not included due to their different clinical behavior. Clinical history was obtained by means of anamnesis and physical examination, and preoperative imaging and urine cytology were carried out for all patients. Then, patients underwent conventional transurethral resection (TURBT) and some proteomic analyses quantified the biomarkers (p53, neu, and EGFR). A postoperative follow-up was performed to detect relapse and progression. Clusterings were performed to find groups with clinical, molecular markers, histopathological prognostic factors, and statistics about recurrence, progression, and overall survival of patients with NMIBC. Four groups were found according to tumor sizes, risk of relapse or progression, and biological behavior. Outlier patients were also detected and categorized according to their clinical characters and biological behavior. |
format | Online Article Text |
id | pubmed-4383273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-43832732015-04-12 Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis Redondo-Gonzalez, Enrique de Castro, Leandro Nunes Moreno-Sierra, Jesús Maestro de las Casas, María Luisa Vera-Gonzalez, Vicente Ferrari, Daniel Gomes Corchado, Juan Manuel Biomed Res Int Research Article Bladder cancer occurs in the epithelial lining of the urinary bladder and is amongst the most common types of cancer in humans, killing thousands of people a year. This paper is based on the hypothesis that the use of clinical and histopathological data together with information about the concentration of various molecular markers in patients is useful for the prediction of outcomes and the design of treatments of nonmuscle invasive bladder carcinoma (NMIBC). A population of 45 patients with a new diagnosis of NMIBC was selected. Patients with benign prostatic hyperplasia (BPH), muscle invasive bladder carcinoma (MIBC), carcinoma in situ (CIS), and NMIBC recurrent tumors were not included due to their different clinical behavior. Clinical history was obtained by means of anamnesis and physical examination, and preoperative imaging and urine cytology were carried out for all patients. Then, patients underwent conventional transurethral resection (TURBT) and some proteomic analyses quantified the biomarkers (p53, neu, and EGFR). A postoperative follow-up was performed to detect relapse and progression. Clusterings were performed to find groups with clinical, molecular markers, histopathological prognostic factors, and statistics about recurrence, progression, and overall survival of patients with NMIBC. Four groups were found according to tumor sizes, risk of relapse or progression, and biological behavior. Outlier patients were also detected and categorized according to their clinical characters and biological behavior. Hindawi Publishing Corporation 2015 2015-03-19 /pmc/articles/PMC4383273/ /pubmed/25866762 http://dx.doi.org/10.1155/2015/168682 Text en Copyright © 2015 Enrique Redondo-Gonzalez et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Redondo-Gonzalez, Enrique de Castro, Leandro Nunes Moreno-Sierra, Jesús Maestro de las Casas, María Luisa Vera-Gonzalez, Vicente Ferrari, Daniel Gomes Corchado, Juan Manuel Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis |
title | Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis |
title_full | Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis |
title_fullStr | Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis |
title_full_unstemmed | Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis |
title_short | Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis |
title_sort | bladder carcinoma data with clinical risk factors and molecular markers: a cluster analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383273/ https://www.ncbi.nlm.nih.gov/pubmed/25866762 http://dx.doi.org/10.1155/2015/168682 |
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