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Frontiers in Veterinary Science 2020Canine and human bladder cancer present similar anatomical, morphological, and molecular characteristics, and dogs can be considered a model for human bladder cancer....
Canine and human bladder cancer present similar anatomical, morphological, and molecular characteristics, and dogs can be considered a model for human bladder cancer. However, the veterinary literature lacks information regarding cross-validation analysis between human and canine large-scale data. Therefore, this research aimed to perform a meta-analysis of the canine literature on bladder cancer, identifying genes and proteins previously evaluated in these studies. In addition, we also performed a cross-validation of the canine transcriptome data and the human data from The Cancer Genome Atlas (TCGA) to identify potential markers for both species. The meta-analysis was performed using the following indexing terms: "bladder" AND "carcinoma" AND "dog" in different international databases, and 385 manuscripts were identified in our initial search. Then, several inclusion criteria were applied, and only 25 studies met these criteria. Among these studies, five presented transcriptome data, and 20 evaluated only isolated genes or proteins. Regarding the studies involving isolated protein analysis, the HER-2 protein was the most studied (3/20), followed by TAG-72 (2/20), COX-2 (2/20), survivin (2/20), and CK7 (2/20), and the remaining nine studies evaluated one isolated protein each. Regarding the cross-validation analysis of human and canine transcriptome data, we identified 35 dysregulated genes, including , and . Our results demonstrate that the canine literature on bladder cancer previously focused on the evaluation of isolated markers with no association with patient survival. This limitation may be related to the lack of a homogenous protocol for treating patients and the lack of follow-up during treatment. In addition, the lack of information regarding tumor muscle invasion can be considered an important limitation when comparing human and canine bladder tumors. Our analysis involving canine and human transcriptome data provided several genes with the potential to be markers for both human and canine bladder tumors, and these genes should be considered for future studies on canine bladder cancer.
PubMed: 33304937
DOI: 10.3389/fvets.2020.558978 -
Clinica Chimica Acta; International... Feb 2015Survivin in pleural effusion is a promising marker for the diagnosis of malignant pleural effusion. (Meta-Analysis)
Meta-Analysis
BACKGROUND
Survivin in pleural effusion is a promising marker for the diagnosis of malignant pleural effusion.
METHODS
Based on the principles and methods of Cochrane systematic reviews, PubMed, EMBASE, Web of Knowledge (ISI), the Cochrane Library, and China National Knowledge Infrastructure (CNKI) databases were searched to identify studies that assessed the diagnostic value of survivin in pleural effusion for malignant pleural effusion. Stata 12 and Meta-disc 1.4 software were used to test the heterogeneity and to perform the meta-analysis.
RESULTS
Our search returned 167 articles, of which ten fulfilled the inclusion criteria. These studies included a total of 614 patients with malignant pleural effusion and 430 patients with benign pleural effusion as controls. The summary assessments revealed that the pooled sensitivity was 0.86 (95% CI: 0.82-0.88) and the pooled specificity was 0.92 (95% CI: 0.89-0.94). The positive likelihood ratio was 8.76 (95% CI: 5.41-14.20), the negative likelihood ratio was 0.16 (95% CI: 0.13-0. 20) and the diagnostic odds ratio (DOR) was 59.72 (95% CI: 39.60-90.05). The area under the curve (AUC) for the pleural effusion survivin tests was 0.9485, and the *Q index estimate for these tests was 0.8885.
CONCLUSIONS
Survivin in pleural effusion has potential diagnostic value with advanced sensitivity and specificity and it can be used as adjunct tool for non-invasive diagnosis of malignant pleural effusion.
Topics: Humans; Inhibitor of Apoptosis Proteins; Pleural Effusion, Malignant; Survivin
PubMed: 25559946
DOI: 10.1016/j.cca.2014.12.029 -
Journal of Molecular Histology Jun 2024The prevalence of TNBC in India is higher compared to western countries. There is a multitude of biomarkers associated with different clinical outcomes of TNBC with... (Meta-Analysis)
Meta-Analysis
BACKGROUND
The prevalence of TNBC in India is higher compared to western countries. There is a multitude of biomarkers associated with different clinical outcomes of TNBC with contradictory reports. Identification of a set of specific biomarkers from the very many number of proteins reported in the literature to predict prognosis of TNBC is an urgent clinical need.
METHODOLOGY
A systematic review of key molecular biomarkers in cohort studies that have been investigated for their role in breast cancer prognosis was conducted. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was followed. A meta-analysis was used to evaluate their pooled hazard ratio (HR) and the corresponding 95% confidence interval (95% CI) statistically. Immunohistochemical characterization of the meta-analyzed markers were performed in a cohort of 200 retrospective TNBC and 100 non TNBC patient tissues. Kaplan-Meier plot were used to evaluate disease free survival (DFS), and overall survival (OS). Cox regression models were used to evaluate predictors of DFS and OS.
RESULTS
Using a meta-analytical approach, we consolidated the biomarker signatures associated with survival outcomes in breast cancers. The promising markers that emerged for the prediction of DFS and OS included E-Cadherin, Survivin, p53, MTA1, HIF1A, CD133, Vimentin and CK5/6. Evaluation of these markers in tumor tissue revealed that subcellular localization of p53, MTA1 and HIF1A had a significant association in predicting TNBC prognosis. Kaplan Meier plot revealed that p53 (OS p = 0.007, DFS p = 0.004), HIF 1 A (OS p = 0.054, DFS p = 0.009) and MTA1 (OS p = 0.043, DFS = p = 0.001) expression in the primary tumor tissue were found to be significantly correlated with poor OS and DFS, whereas expression of Survivin (DFS p = 0.024) and E Cadherin (DFS p = 0.027) correlated with DFS alone in TNBC. Univariate analysis revealed that p53, HIF1A and MTA1 could be independent prognostic markers.
CONCLUSION
Our study suggests cytoplasmic over expression of HIF1A, nuclear over expression of MTA1 and mutated p53 in the primary tumor tissue of TNBC have significance as markers predicting survival of TNBC patients.
Topics: Humans; Triple Negative Breast Neoplasms; Tumor Suppressor Protein p53; Repressor Proteins; Biomarkers, Tumor; Female; Trans-Activators; Hypoxia-Inducible Factor 1, alpha Subunit; Histone Deacetylases; Prognosis; Kaplan-Meier Estimate
PubMed: 38613589
DOI: 10.1007/s10735-024-10190-9 -
The International Journal of Biological... Dec 2019Colorectal cancer is a very common cancer worldwide. Serum tumor-associated autoantibodies (TAAbs), especially the anti-p53 autoantibody, may be promising biomarkers to... (Meta-Analysis)
Meta-Analysis
Colorectal cancer is a very common cancer worldwide. Serum tumor-associated autoantibodies (TAAbs), especially the anti-p53 autoantibody, may be promising biomarkers to detect early-stage colorectal cancer. This study aimed to identify all known autoantibodies and their value in colorectal cancer diagnosis, as well as exploring the underlying connections and mechanisms through a bioinformatics analysis. Databases were used to select available articles of TAAbs in colorectal cancer. In a meta-analysis of the anti-p53 autoantibody, the diagnostic odds ratio and area under the curve (AUC) of the summary receiver-operating characteristic (SROC) curve were calculated using Stata 12.0 and Meta-Disc 1.4. We identified 73 articles including 199 single autoantibodies and 42 multiple autoantibodies. The maximum value of Youden's index was 0.76, combining c-MYC, p53, cyclin B1, p62, Koc, IMP1, and survivin. The diagnostic odds ratio for anti-p53 autoantibody at all stages was 10.86 (95% CI 8.40, 14.06) with low heterogeneity (I = 40.3%) and the AUC of the SROC curve was 0.82. For the anti-p53 autoantibody in early-stage colorectal cancer, the diagnostic odds ratio was 4.82 (95% CI 2.95, 7.87) with heterogeneity (I = 7.9%) and the AUC of the SROC curve was 0.72. Eighty-seven autoantibodies were selected for bioinformatics analyses. We found that the most enriched functional terms and protein-protein interactions may relate to the mechanism of autoantibody generation. In summary, our study summarized the diagnostic value of TAAbs in colorectal cancer, either as single molecules or in combination. Bioinformatics analyses may be a new approach to explore the mechanism of autoantibody generation.
Topics: Autoantibodies; Biomarkers, Tumor; Colorectal Neoplasms; Computational Biology; Humans
PubMed: 31588830
DOI: 10.1177/1724600819880906 -
Pharmacological Research May 2020During the latest decades, the interest on the effectiveness of natural compounds and their impact on human health constantly increased, especially on those...
During the latest decades, the interest on the effectiveness of natural compounds and their impact on human health constantly increased, especially on those demonstrating to be effective on cancer. Molecules coming from nature are currently used in chemotherapy like Taxol, Vincristine or Vinblastine, and several other natural substances have been showed to be active in reducing cancer cell progression and migration. Among them, astaxanthin, a xanthophyll red colored carotenoid, displayed different biological activities including, antinflammatory, antioxidant, proapoptotic, and anticancer effects. It can induce apoptosis through downregulation of antiapoptotic protein (Bcl-2, p-Bad, and survivin) expression and upregulation of proapoptotic ones (Bax/Bad and PARP). Thanks to these mechanisms, it can exert anticancer effects towards colorectal cancer, melanoma, or gastric carcinoma cell lines. Moreover, it possesses antiproliferative activity in many experimental models and enhances the effectiveness of conventional chemotherapic drugs on tumor cells underling its potential future use. This review provides an overview of the current knowledge on the anticancer potential of astaxanthin by modulating several molecular targets. While it has been clearly demonstrated its multitarget activity in the prevention and regression of malignant cells in in vitro or in preclinical investigations, further clinical studies are needed to assess its real potential as anticancer in humans.
Topics: Animals; Antineoplastic Agents; Apoptosis; Cell Cycle Checkpoints; Humans; Neoplasms; Xanthophylls
PubMed: 32057895
DOI: 10.1016/j.phrs.2020.104689 -
Acta Obstetricia Et Gynecologica... Sep 2019Progestogens are widely used for the conservative treatment of endometrial hyperplasia and early endometrial cancer. Nevertheless, they do not achieve the regression in...
INTRODUCTION
Progestogens are widely used for the conservative treatment of endometrial hyperplasia and early endometrial cancer. Nevertheless, they do not achieve the regression in all cases. Although several immunohistochemical markers have been assessed to predict the response to treatment, their usefulness is still unclear. We aimed to analyze the usefulness of each immunohistochemical marker studied in predicting the response to progestogens in endometrial hyperplasia and early endometrial cancer.
MATERIAL AND METHODS
Electronic databases were searched for relevant articles from January 2000 to June 2018. All studies assessing the association of immunohistochemical markers with the outcome of the progestogen-based therapy in endometrial hyperplasia and early endometrial cancer were included. The expression of immunohistochemical markers in pretreatment phase and changes of expression during the follow-up were evaluated in relation to response to therapy and relapse.
RESULTS
Twenty-seven studies with 1360 women were included in the systematic review; 43 immunohistochemical markers were assessed. The most studied predictive markers in the pretreatment phase were progesterone and estrogen receptors, although with conflicting results; their isoforms, and in particular progesterone receptor B, appeared more promising. Further studies are needed to confirm the usefulness of mismatch repair proteins, Dusp6, GRP78 and PTEN combined with other molecules such as phospho-AKT or phospho-mTOR. In the follow-up phase, Nrf2 and survivin showed the stronger evidence; a role may also be played by Bcl2 and Ki67. Further studies are necessary for Fas, NCoR, AKR1C1, HE4, PAX2 and SPAG9.
CONCLUSIONS
Several immunohistochemical markers might be helpful in predicting the response to conservative treatment of endometrial hyperplasia and early endometrial cancer on pretreatment and follow-up specimens. Further studies are needed to confirm their usefulness and possibly integrate them in a predictive immunohistochemical panel.
Topics: Biomarkers, Tumor; Conservative Treatment; Endometrial Hyperplasia; Endometrial Neoplasms; Endoplasmic Reticulum Chaperone BiP; Female; Humans; Immunohistochemistry; Predictive Value of Tests; Progestins
PubMed: 30793281
DOI: 10.1111/aogs.13587 -
Cellular Physiology and Biochemistry :... 2018Recently, many studies have demonstrated that various tumor-associated autoantibodies have been detected in early stages of lung cancer. Therefore, we conducted a... (Meta-Analysis)
Meta-Analysis
BACKGROUND/AIMS
Recently, many studies have demonstrated that various tumor-associated autoantibodies have been detected in early stages of lung cancer. Therefore, we conducted a meta-analysis to comprehensively evaluate available evidence on the diagnostic value of autoantibodies against tumor-associated antigens in lung cancer.
METHODS
We systematically searched PubMed, Scopus, Web of Science and other databases through 23 March 2018. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2. We used the bivariate mixed-effect models to calculate pooled values of sensitivity, specificity, positive likelihood ratios, negative likelihood ratios, diagnostic odds ratios and associated 95% confidence intervals. Summary receiver operating characteristic (SROC) curves were used to summarize overall test performance. Deek's funnel plot was used to detect publication bias.
RESULTS
Review of 468 candidate articles identified fifty-three articles with a total of 11,515 patients for qualitative review and meta-analysis. Pooled sensitivity, specificity and area under the SROC curve were as follows for tumor-associated autoantibodies against the following proteins: p53, 0.19, 0.98, 0.82; NY-ESO-1, 0.17, 0.98, 0.90; Survivin, 0.19, 0.99, 0.96; c-myc, 0.14, 0.98, 0.45; Cyclin B1, 0.18, 0.98, 0.91; GBU4-5, 0.07, 0.98, 0.91; CAGE, 0.14, 0.98, 0.90; p16, 0.08, 0.97, 0.91; SOX2, 0.14, 0.99, 0.93; and HuD, 0.17, 0.99, 0.82.
CONCLUSION
Each tumor-associated autoantibody on its own showed excellent diagnostic specificity for lung cancer but inadequate sensitivity. Our results suggest that combinations or panels of tumor-associated autoantibodies may provide better sensitivity for diagnosing lung cancer, and the diagnostic accuracy of tumor-associated autoantibodies should be validated in more studies.
Topics: Autoantibodies; Biomarkers, Tumor; Humans; Lung Neoplasms; Neoplasm Staging; ROC Curve
PubMed: 30562746
DOI: 10.1159/000495935