Predictive Values of Inflammation-Related Markers and Thyroid Function in Pediatric Thyroid Cancer Patients

Li, Shuo; Liu, Yihao; Liu, Shaoxuan; Du, Gongbo; Wang, Zipeng; Yin, Dengke

doi:10.3389/fped.2021.802214

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…It has been established that elevated NLR is associated with malignant pathological findings in a variety of solid tumors (prostate, endometrial, adrenal, lung, and thyroid cancers) ( 28 – 32 ), including, of course, renal tumors ( 33 , 34 ). In addition, studies have also confirmed the association of NLR with prognosis in RCC patients.…”

Section: Discussionmentioning

confidence: 99%

Pathological diagnostic nomograms for predicting malignant histology and unfavorable pathology in patients with endophytic renal tumor

Deng

Liu

et al. 2022

Front. Oncol.

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PurposeTo develop and validate nomograms for pre-treatment prediction of malignant histology (MH) and unfavorable pathology (UP) in patients with endophytic renal tumors (ERTs).MethodsWe retrospectively reviewed the clinical information of 3245 patients with ERTs accepted surgical treatment in our center. Eventually, 333 eligible patients were included and randomly enrolled into training and testing sets in a ratio of 7:3. We performed univariable and multivariable logistic regression analyses to determine the independent risk factors of MH and UP in the training set and developed the pathological diagnostic models of MH and UP. The optimal model was used to construct a nomogram for MH and UP. The area under the receiver operating characteristics (ROC) curves (AUC), calibration curves and decision curve analyses (DCA) were used to evaluate the predictive performance of models.ResultsOverall, 172 patients with MH and 50 patients with UP were enrolled in the training set; and 74 patients with MH and 21 patients with UP were enrolled in the validation set. Sex, neutrophil-to-lymphocyte ratio (NLR), R score, N score and R.E.N.A.L. score were the independent predictors of MH; and BMI, NLR, tumor size and R score were the independent predictors of UP. Single-variable and multiple-variable models were constructed based on these independent predictors. Among these predictive models, the malignant histology-risk nomogram consisted of sex, NLR, R score and N score and the unfavorable pathology-risk nomogram consisted of BMI, NLR and R score performed an optimal predictive performance, which reflected in the highest AUC (0.842 and 0.808, respectively), the favorable calibration curves and the best clinical net benefit. In addition, if demographic characteristics and laboratory tests were excluded from the nomograms, only the components of the R.E.N.A.L. Nephrometry Score system were included to predict MH and UP, the AUC decreased to 0.781 and 0.660, respectively (P=0.001 and 0.013, respectively).ConclusionIn our study, the pathological diagnostic models for predicting malignant and aggressive histological features for patients with ERTs showed outstanding predictive performance and convenience. The use of the models can greatly assist urologists in individualizing the management of their patients.

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Section: Discussionmentioning

confidence: 99%

Pathological diagnostic nomograms for predicting malignant histology and unfavorable pathology in patients with endophytic renal tumor

Deng

Liu

et al. 2022

Front. Oncol.

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“…Several studies have demonstrated its use as a reliable predictor of severity for diverse conditions, including sepsis, COVID 2019 (COVID-19), and acute pancreatitis ( 24 , 29 , 30 ). In oncology, the NLR has been studied in numerous malignancies as a diagnostic and prognostic tool ( 31 - 33 ). In recent years, several studies have explored the potential of NLR as a prognostic biomarker for advanced GC treated with immunotherapy, and the results vary.…”

Section: Introductionmentioning

confidence: 99%

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as biomarkers to prognosticate survival in advanced gastric cancer patients in the era of immunotherapy: a systematic review and meta-analysis

Matsas,

Aguiar Jr,

Del Giglio

2024

J Gastrointest Oncol

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Background Gastric cancer (GC) remains an important global health concern with limited treatment options for advanced cases. Immunotherapy has shown promising results, but identifying predictive biomarkers for treatment efficacy is challenging. Novel inflammatory markers, such as the platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR), derived from complete blood count measurements, have gained attention as potential prognostic indicators. This systematic review and meta-analysis investigates the roles of the PLR and NLR as predictors of overall survival (OS) and progression-free survival (PFS) in advanced GC and gastroesophageal junction cancer (GEJC) patients treated with immunotherapy. Methods A comprehensive search of the literature was conducted through PubMed, Embase, and Cochrane Library to identify relevant studies. A total of 16 studies involving NLR and 8 studies involving PLR were included. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the association between high biomarker values and poor OS and PFS. Subgroup analyses were performed to explore potential sources of heterogeneity. Poor OS, PFS were defined by each study as statistically significant shorter survival. Results A high NLR was significantly associated with worse OS (HR: 2.11; 95% CI: 1.70–2.62) and PFS (HR: 1.76; 95% CI: 1.43–2.17). High PLR was also significantly associated with poorer OS (HR: 1.77; 95% CI: 1.44–2.17) and PFS (HR: 1.61; 95% CI: 1.33–1.96). Subgroup analyses and sensitivity analyses supported the robustness of these findings. Publication bias was noted in NLR analysis for OS but not for PFS. PLR analysis showed low publication bias. Conclusions Elevated NLR and PLR are associated with unfavorable OS and PFS outcomes in advanced GC/GEJC patients on immunotherapy. These findings imply the utility of these easily accessible biomarkers in prognostic assessment. However, standardized cutoff values and further research on interactions with the tumor microenvironment and comorbidities are needed. Additional prospective studies are warranted to validate these findings for both biomarkers.

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Predictive Values of Inflammation-Related Markers and Thyroid Function in Pediatric Thyroid Cancer Patients

Cited by 2 publications

References 23 publications

Pathological diagnostic nomograms for predicting malignant histology and unfavorable pathology in patients with endophytic renal tumor

Pathological diagnostic nomograms for predicting malignant histology and unfavorable pathology in patients with endophytic renal tumor

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as biomarkers to prognosticate survival in advanced gastric cancer patients in the era of immunotherapy: a systematic review and meta-analysis

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