A Nomogram based on Inflammatory Factors C-Reactive Protein and Fibrinogen to Predict the Prognostic Value in Patients with Resected Non-Small Cell Lung Cancer

Zeng, Qiuyao; Xue, Ning; Dai, De-Chang; Xing, Shan; He, Xia; Li, Shibing; Du, Yi; Huang, Chanyan; Li, Linfang; Liu, Wanli

doi:10.7150/jca.17423

Cited by 32 publications

(35 citation statements)

References 49 publications

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“…As a result, well combination of molecular markers and traditional staging system may improve the predictive power. Multivariable analysis in our cohort identified TNM stage and tumor grade as independent prognostic factors (Table 3 ), which were highly consistent with studies concerning risk factors in NSCLC [ 18 , 19 ]. In the present study, we developed a predictive survival model containing clinical stage and two molecular biomarkers for NSCLC.…”

Section: Discussionsupporting

confidence: 89%

A molecular and staging model predicts survival in patients with resected non-small cell lung cancer

et al. 2018

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BackgroundThe current TNM staging system is far from perfect in predicting the survival of individual non-small cell lung cancer (NSCLC) patients. In this study, we aim to combine clinical variables and molecular biomarkers to develop a prognostic model for patients with NSCLC.MethodsCandidate molecular biomarkers were extracted from the Gene Expression Omnibus (GEO), and Cox regression analysis was performed to determine significant prognostic factors. The survival prediction model was constructed based on multivariable Cox regression analysis in a cohort of 152 NSCLC patients. The predictive performance of the model was assessed by the Area under the Receiver Operating Characteristic Curve (AUC) and Kaplan–Meier survival analysis.ResultsThe survival prediction model consisting of two genes (TPX2 and MMP12) and two clinicopathological factors (tumor stage and grade) was developed. The patients could be divided into either high-risk group or low-risk group. Both disease-free survival and overall survival were significantly different among the diverse groups (P < 0.05). The AUC of the prognostic model was higher than that of the TNM staging system for predicting survival.ConclusionsWe developed a novel prognostic model which can accurately predict outcomes for patients with NSCLC after surgery.Electronic supplementary materialThe online version of this article (10.1186/s12885-018-4881-9) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 89%

A molecular and staging model predicts survival in patients with resected non-small cell lung cancer

et al. 2018

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“…Fibrinogen, as a pro-inflammatory protein commonly involved in the process of hemostasis, has played an important role in both inflammatory responses and tumor progression and metastasis [ 6 – 8 ]. Numerous studies have reported that fibrinogen level in plasma was upregulated in several types of cancers and related to cancer progression and prognosis [ 9 – 14 ].…”

Section: Introductionmentioning

confidence: 99%

The association of plasma fibrinogen with clinicopathological features and prognosis in esophageal cancer patients

Liu

Gao

et al. 2017

Oncotarget

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BackgroundNumerous studies have shown that plasma fibrinogen was linked to esophageal cancer (EC) risk. However, the clinical significance of plasma fibrinogen in EC patients remain unclear and need to be further clarified.ResultsA total of 2865 patients with EC from 11 published studies were included in this meta-analysis. The prognostic and clinical relevance of plasma fibrinogen were evaluated in EC patients. Statistical significance of the pooled hazard ratio (HR) was found for overall survival (OS), disease free survival (DFS) and recurrence-free survival (RFS) in EC. Subgroup analyses for OS were also performed to confirm the prognostic value of plasma fibrinogen. Additionally, the overall results indicated that elevated plasma fibrinogen was significantly associated with tumor invasion, lymph node metastasis (LNM) and clinical stage.Materials and MethodsA comprehensive literature retrieval was performed in PubMed, Embase, Cochrane database, Web of science and Chinese National Knowledge Infrastructure (CNKI) and Wanfang databases to identify relevant studies published prior to April 15, 2017.ConclusionsElevated plasma fibrinogen could be served as a promising biomarker for predicting a poor prognosis and unfavorable clinicopathologic features for EC.

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“…Numerous previous studies have discovered that the coagulation system is overly activated in many cancers, such as lung cancer [8,9], hepatocellular carcinoma [10,11], pancreatic cancer [12], and oesophageal cancer [13,14] and so on, but data about cancers of the urinary system, especially renal cell carcinoma, are still lacking. Jun Du [15] enrolled 286 patients receiving radical nephrectomy and retrospectively evaluated the association of preoperative plasma fibrinogen level with the clinicopathological parameters and survival.…”

Section: Discussionmentioning

confidence: 99%

High Preoperative Plasma Fibrinogen Independently Predicts a Poor Prognosis in Patients with Nonmetastatic RCC

et al. 2020

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Background: This study aims to determine the relationship between preoperative plasma fibrinogen levels and the prognosis of patients with nonmetastatic renal cell carcinoma (RCC), including overall survival (OS), cancer-specific survival (CSS) and progression-free survival (PFS). Methods: We retrospectively analysed the clinical data and prognostic information of 1194 nonmetastatic RCC patients who received radical nephrectomy or nephron-sparing surgery between 2005 and 2015 at our institution. Serum was collected for fibrinogen detection in the week prior to curative operation, and prognostic information was regularly collected by specially trained personnel. The cutoff value of the preoperative plasma fibrinogen level was defined by receiver operating characteristic (ROC) analysis. The chi-square test was used to analyse the association between preoperative fibrinogen level and clinical characteristics. Kaplan-Meier analysis was used to calculate survival curves, and significant differences were determined by the log-rank test. Other significant prognostic factors were evaluated by the Cox multivariate proportional hazard model. Results: The median follow-up period after radical or partial nephrectomy was 42.4 months (ranging from 0.433 to 146.37 months). The optimal preoperative plasma fibrinogen concentration was 3.975 g/L. The preoperative fibrinogen level was significantly associated with age, pathological T stage, sarcomatoid differentiation, necrosis and vein tumour thrombus (all p<0.05). High plasma fibrinogen levels were related to poor prognosis in terms of OS (p<0.001), CSS (p<0.001) and PFS (p<0.001). Multivariate analysis showed that the preoperative fibrinogen level remained an independent prognostic factor for OS (HR: 3.22, 95%CI: 1.87-5.55, p<0.001), CSS (HR: 4.12, 95%: 2.15-7.89, p<0.001) and PFS (HR: 3.137, 95%CI: 2.17-4.53, p<0.001). Conclusions: High preoperative plasma fibrinogen level is an independent negative prognostic factor for OS, CSS and PFS in patients with non-metastatic RCC. Preoperative plasma fibrinogen could be an ideal indicator for evaluating the outcomes of postoperative patients with nonmetastatic RCC.

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A Nomogram based on Inflammatory Factors C-Reactive Protein and Fibrinogen to Predict the Prognostic Value in Patients with Resected Non-Small Cell Lung Cancer

Cited by 32 publications

References 49 publications

A molecular and staging model predicts survival in patients with resected non-small cell lung cancer

A molecular and staging model predicts survival in patients with resected non-small cell lung cancer

The association of plasma fibrinogen with clinicopathological features and prognosis in esophageal cancer patients

High Preoperative Plasma Fibrinogen Independently Predicts a Poor Prognosis in Patients with Nonmetastatic RCC

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