Prognostic and clinicopathological value of C-reactive protein in patients with bladder cancer: a meta-analysis

Annals of Medicine, Journal Year: 2025, Volume and Issue: 57(1)

Published: Jan. 2, 2025

Background The prognostic value of C-reactive protein (CRP) in patients with bladder cancer (BCa) has been widely analysed; however, the results remain conflicting. Therefore, we performed this meta-analysis to identify precise role CRP level predicting BCa prognosis.

Language: Английский

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Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy

Current Oncology, Journal Year: 2025, Volume and Issue: 32(1), P. 39 - 39

Published: Jan. 13, 2025

Objective: Inflammatory biomarkers have been shown to possess both prognostic and predictive significance in various cancers. Among the emerging biomarkers, pan-immune-inflammation value (PIV) has recently introduced as a novel indicator representing immune response systemic inflammatory state. This study aims comprehensively evaluate of on survival outcomes cervical cancer patients undergoing chemoradiotherapy. Methods: A total 90 who had undergone chemoradiotherapy for were included. Data demographics, treatment protocols, pre-treatment blood parameters, collected. The association between was investigated through univariate multivariate analyses. Results: analysis identified following predictors progression-free (PFS): neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte (PLR), monocyte–lymphocyte (MLR), immune-inflammation index (SII), PIV, C-reactive protein (CRP), albumin, tumor size. Multivariate revealed that only PIV significantly predicted PFS (HR 3.05, 95% CI 1.0 9.3, p = 0.04). In analysis, several variables overall (OS), including NLR, PLR, MLR, SII, CRP, LDH, size, Eastern Cooperative Oncology Group Performance Status (ECOG PS). CRP 3.41, 1.5 7.7, 0.003) ECOG PS 4.78, 1.3 17.3, 0.01) OS, with approaching statistical 2.56, 0.8 7.6, 0.09). Conclusions: provides first comprehensive biomarkers. Many these demonstrated definitive evaluated, most predictive, warranting further exploration future research.

Language: Английский

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Roles of C-reactive protein and LOX-1 on cancer and myeloid-derived suppressor cells in the progression of uterine cervical cancer

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 13, 2025

We investigated clinical implications of CRP and its receptor, LOX-1, in cervical cancer progression the underlying mechanisms. Clinical data from 121 patients with administered definitive radiotherapy were analyzed to investigate relationship among pretreatment serum levels, tumor LOX-1 expression, treatment outcomes. samples, cell lines, mouse xenograft models employed elucidate mechanisms for CRP-mediated cancer, focusing on expression myeloid-derived suppressor (MDSCs) cells. Patients elevated levels showed significantly shorter overall survival when their expressed LOX-1. In contrast, had no prognostic relevance tumors not expressing LOX1-expressing cells induced ERK phosphorylation stimulated proliferation vitro. vivo, promoted LOX-1-expressing cancer. vitro, it MDSC augmented suppressive activity. However, tumor-promoting effects minimal conclusion, facilitates by stimulating downstream effectors MDSCs. Novel treatments targeting or may be against

Language: Английский

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Harnessing unsupervised machine learning with [18F]FDG PET/CT to develop a composite model for predicting overall survival in cervical cancer patients undergoing concurrent chemoradiotherapy

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: May 2, 2025

Background and purpose: This study sought to develop an advanced composite model enhance the prognostic accuracy for cervical cancer patients undergoing concurrent chemoradiotherapy (CCRT). The integrated imaging features from [ 18 F]FDG PET/CT scans with inflammatory markers using a novel unsupervised two-way clustering approach. Methods In this retrospective study, 154 diagnosed primary treated CCRT were evaluated scans. A total of 1,702 radiomic extracted data. These underwent rigorous selection based on reproducibility non-redundancy. method was then employed simultaneously stratify reduce dimensionality features, resulting in generation meta-features that subsequently used predict overall survival. Results Kaplan-Meier survival analysis demonstrated successfully stratified into distinct risk groups significant differences (P<0.001), outperforming traditional K-means clustering. Predictive models constructed derived showed superior performance compared those principal component (PCA), particularly when more than four included. highest C-index values COX, COX_Lasso, RSF observed nine meta-features, yielding results 0.691 ± 0.026, 0.634 0.018, 0.684 0.020, respectively. contrast, solely clinical variables exhibited lower predictive performance, 0.645 0.041, 0.567 0.016, 0.561 0.033. combination data, markers, achieved accuracy, mean AUC 0.88 0.07. Conclusion Integrating data offered robust approach predicting outcomes patients. methodology presented promising avenue personalized patient management, potentially leading informed treatment decisions improved outcomes.

Language: Английский

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Editorial: Lymph node assessment in cervical cancer

Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13

Published: Nov. 1, 2023

EDITORIAL article Front. Oncol., 01 November 2023Sec. Gynecological Oncology Volume 13 - 2023 | https://doi.org/10.3389/fonc.2023.1324654

Language: Английский

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