ArticleExperimental and therapeutic medicine2012
Prediction of response to bacillus Calmette-Guérin treatment in non-muscle invasive bladder cancer patients through interleukin-6 and interleukin-10 ratio.
Article in Experimental and therapeutic medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The trial behind it
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Who cites it
12 citing papers in PubMed.
- Predictive and prognostic biomarkers of Bacillus Calmette-Guérin therapy failure in bladder cancer patients: A systematic review.Molecular oncology · 2026Review
- From Bench to Bladder: The Rise in Immune Checkpoint Inhibition in the Treatment of Non-Muscle Invasive Bladder Cancer.Cancers · 2025Review
- Predicting response to bacillus Calmette-Guerin in high-risk non-muscle invasive bladder cancer.Translational cancer research · 2024Review
- Similar immune responses to alpha1-oleate and Bacillus Calmette-Guérin treatment in patients with bladder cancer.Cancer medicine · 2024Article
- Identifying novel biomarkers associated with bladder cancer treatment outcomes.Frontiers in oncology · 2023Review
- Prediction of BCG responses in non-muscle-invasive bladder cancer in the era of novel immunotherapeutics.International urology and nephrology · 2019Review
- Prediction tools in non-muscle invasive bladder cancer.Translational andrology and urology · 2019Review
- An up-to-date catalog of available urinary biomarkers for the surveillance of non-muscle invasive bladder cancer.World journal of urology · 2018Review
- Article
- How do we manage high-grade T1 bladder cancer? Conservative or aggressive therapy?Investigative and clinical urology · 2016Review
- Chronic inflammation in urothelial bladder cancer.Virchows Archiv : an international journal of pathology · 2015Article
- Treatment of non-muscle invasive bladder cancer with Bacillus Calmette-Guerin (BCG): Biological markers and simulation studies.BBA clinical · 2015Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to evaluate whether the interleukin-6 (IL-6) and interleukin-10 (IL-10) ratio (IL-6/IL-10) can be used as a prognostic marker of recurrence following bacillus Calmette-Guérin (BCG) therapy in patients with high-risk non-muscle invasive bladder cancer (NMIBC). One hundred and twenty-one consecutive urological patients (72 affected by high-risk NMIBC and 49 controls) were selected for this prospective study. Urine samples for dipstick and interleukin analyses were collected from each subject before surgery. All patients underwent transurethral resection of bladder tumours (TUR-BT), followed by six weekly BCG instillations. IL-6 and IL-10 concentrations in urine were determined by solid phase ELISA Quantikine IL-6 and IL-10 Immunoassay. Patients with NMIBC were stratified in accordance with IL-6/IL-10: group A ≤0.09 and group B >0.10. The main outcome measures were time to first recurrence and recurrence rate following BCG therapy. At enrolment, IL-6/IL-10 was not statistically different between patients and controls (p=0.763, degrees of freedom (df)=1, F-test result (F)=0.092). Of the 72 patients with NMIBC, 38 (52.7%) had an IL-6/IL-10 of ≤0.09 (group A), while 34 (47.3%) had an IL-6/IL-10 of >0.10 (group B). A significant difference between IL-6/IL-10 and status at follow-up was found (p=0.016, df=1, χ(2)=5.800). The Kaplan-Meier curves demonstrated that group B patients had a significantly higher probability of being recurrence-free than group A patients [p=0.003; recurrence rate (RR)=3.1]. At multivariate analysis, IL-6/IL-10 (p<0.003) and the number of lesions (p<0.001) were identified as independent predictors of BCG response probability. In conclusion, this study highlights the feasible role of IL-6/IL-10 in predicting recurrence following BCG therapy in high-risk NMIBC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.