Real-life analysis of treatment approaches and the role of inflammatory markers on survival in patients with advanced biliary tract cancer

Aydın, Sabin Göktaş; Demirel, Burçin Çakan; Bılıcı, Ahmet; Topcu, Atakan; Kahraman, Seda; Akbıyık, Ilgın; Atçı, Muhammed Mustafa; Ölmez, Ömer Fatih; Yaren, Arzu; Geredeli, Çağlayan; Şeker, Mesut; Ürün, Yüksel; Karadurmuş, Nuri; Aydın, Ahmet

doi:10.1080/03007995.2022.2108619

Current Medical Research and Opinion

2022

DOI: 10.1080/03007995.2022.2108619

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Real-life analysis of treatment approaches and the role of inflammatory markers on survival in patients with advanced biliary tract cancer

Sabin Göktaş Aydın

Burçin Çakan Demirel

Ahmet Bılıcı

et al.

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2024

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Cited by 2 publications

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Nomogram for Predicting Postoperative Pulmonary Metastasis in Hepatocellular Carcinoma Based on Inflammatory Markers

Zhou,

Zheng,

Wang

et al. 2024

Cancer Control

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Background Uncertainty surrounds the usefulness of inflammatory markers in hepatocellular carcinoma (HCC) patients for predicting postoperative pulmonary metastasis (PM). The purpose of this study was to assess the predictive value of inflammatory markers as well as to create a new nomogram model for predicting PM. Methods Cox regression was utilized to identify independent prognostic variables and to create a nomogram that predicted PM for comparison with a validation cohort and other prediction systems. We retrospectively analyzed a total of 1109 cases with HCC were included. Results The systemic inflammatory response index (SIRI) and aspartate aminotransferase-to-platelet ratio index (APRI) were independent risk factors for PM, with a concordance index of .78 (95% CI: .74-.81) for the nomogram. The areas under the curve of the nomograms for PM predicted at 1-, 3-, and 5-year were .82 (95% CI: .77-.87), .82 (95% CI: .78-.87) and .81 (95% CI: .75-.86), respectively, which were better than those of Barcelona Clinic Liver Cancer and China liver cancer stage. Decision curve analyses demonstrated a broader range of nomogram threshold probabilities. Conclusion A nomogram based on SIRI and APRI can accurately predict postoperative PM in HCC.

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Nomogram for Predicting Postoperative Pulmonary Metastasis in Hepatocellular Carcinoma Based on Inflammatory Markers

Zhou,

Zheng,

Wang

et al. 2024

Cancer Control

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Exploring the Connection Between Microsatellite Instability and Inflammatory Indicators in Cancers

Karaoğlan,

Savaş,

Utkan

et al. 2024

Future Oncol.

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Aim: This study aimed to investigate the association between microsatellite instability (MSI) status and inflammatory indicators in patients with cancer. Patients & methods: A total of 204 patients with various cancer diagnoses, including 102 with MSI-high (MSI-H) and 102 with microsatellite stable tumors, were enrolled. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), C-reactive protein (CRP)-to-albumin ratio and systemic immune-inflammation index were evaluated. Results: In microsatellite stable patients, NLR, LMR, PLR and systemic immune-inflammation index were significantly linked to worse survival in univariate analysis, and having a LMR ≤2.6 negatively affected survival in multivariate analysis, although these indicators did not affect the survival of MSI-H patients. Conclusion: The impact of chronic inflammation on survival varies with MSI status. Further research is needed for targeted therapies in different tumors.

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Real-life analysis of treatment approaches and the role of inflammatory markers on survival in patients with advanced biliary tract cancer

Cited by 2 publications

References 22 publications

Nomogram for Predicting Postoperative Pulmonary Metastasis in Hepatocellular Carcinoma Based on Inflammatory Markers

Nomogram for Predicting Postoperative Pulmonary Metastasis in Hepatocellular Carcinoma Based on Inflammatory Markers

Exploring the Connection Between Microsatellite Instability and Inflammatory Indicators in Cancers

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