Correlation of Systemic Immune Inflammatory Index and Tumor Markers with Bone Metastasis of Lung Cancer

Objective To evaluate the value of the systemic immune-inflammatory index (SII), CEA, Cyfra21-1, and NSE in predicting and diagnosing bone metastasis of lung cancer. Methods The clinical data of 618 patients with lung cancer were retrospectively analyzed. According to the bone metastasis at baseline...

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Main Authors: TANG Min, LI Guixiang
Format: Article
Language:zho
Published: Magazine House of Cancer Research on Prevention and Treatment 2022-12-01
Series:Zhongliu Fangzhi Yanjiu
Subjects:
Online Access:http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2022.22.0422
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author TANG Min
LI Guixiang
author_facet TANG Min
LI Guixiang
author_sort TANG Min
collection DOAJ
description Objective To evaluate the value of the systemic immune-inflammatory index (SII), CEA, Cyfra21-1, and NSE in predicting and diagnosing bone metastasis of lung cancer. Methods The clinical data of 618 patients with lung cancer were retrospectively analyzed. According to the bone metastasis at baseline, the data of the diagnosis group (patients with bone metastasis at baseline and patients without bone metastasis during follow-up) and the prediction group (patients with bone metastasis during follow-up and patients without bone metastasis during follow-up) were analyzed to determine the correlation between the above indicators and lung cancer bone metastasis. Results Predictive group: SII≥850 and NSE≥58.64 ng/ml were independent risk factors and independent predictors for lung cancer bone metastasis. The AUC of the combined SII+NSE model was 0.662, with a sensitivity of 54.5% and a specificity of 74.5%; it was superior to the predictive value of single factor (95%CI: 0.596-0.728; P < 0.001). Diagnostic group: lung adenocarcinoma, SII≥951.6, CEA≥5.14 ng/ml, NSE≥20.15 ng/ml, and Cyfra21-1≥3.94 ng/ml were independent risk factors for bone metastasis in lung cancer patients (P < 0.05). The AUC of SII alone in the diagnosis of lung cancer bone metastasis was 0.754. The AUC of the SII+Cyfra21-1 combined model was 0.82 which was the largest, with a sensitivity of 74% and a specificity of 78.5%; it was superior to any univariate AUC (P < 0.05). Conclusion The levels of SII, CEA, Cyfra21-1, and NSE in the bone metastasis group are significantly higher than those in the non-bone metastasis group. The predictive and diabnostic values would be improved further when SII combined with other single risk factors.
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spelling doaj.art-c032d1c868ea491eb6704ac45b4ced5d2023-01-10T03:42:10ZzhoMagazine House of Cancer Research on Prevention and TreatmentZhongliu Fangzhi Yanjiu1000-85782022-12-0149121252125710.3971/j.issn.1000-8578.2022.22.04228578.2022.22.0422Correlation of Systemic Immune Inflammatory Index and Tumor Markers with Bone Metastasis of Lung CancerTANG Min0LI Guixiang1Cancer Center, The Second Hospital of Lanzhou University, Lanzhou 730030, ChinaCancer Center, The Second Hospital of Lanzhou University, Lanzhou 730030, ChinaObjective To evaluate the value of the systemic immune-inflammatory index (SII), CEA, Cyfra21-1, and NSE in predicting and diagnosing bone metastasis of lung cancer. Methods The clinical data of 618 patients with lung cancer were retrospectively analyzed. According to the bone metastasis at baseline, the data of the diagnosis group (patients with bone metastasis at baseline and patients without bone metastasis during follow-up) and the prediction group (patients with bone metastasis during follow-up and patients without bone metastasis during follow-up) were analyzed to determine the correlation between the above indicators and lung cancer bone metastasis. Results Predictive group: SII≥850 and NSE≥58.64 ng/ml were independent risk factors and independent predictors for lung cancer bone metastasis. The AUC of the combined SII+NSE model was 0.662, with a sensitivity of 54.5% and a specificity of 74.5%; it was superior to the predictive value of single factor (95%CI: 0.596-0.728; P < 0.001). Diagnostic group: lung adenocarcinoma, SII≥951.6, CEA≥5.14 ng/ml, NSE≥20.15 ng/ml, and Cyfra21-1≥3.94 ng/ml were independent risk factors for bone metastasis in lung cancer patients (P < 0.05). The AUC of SII alone in the diagnosis of lung cancer bone metastasis was 0.754. The AUC of the SII+Cyfra21-1 combined model was 0.82 which was the largest, with a sensitivity of 74% and a specificity of 78.5%; it was superior to any univariate AUC (P < 0.05). Conclusion The levels of SII, CEA, Cyfra21-1, and NSE in the bone metastasis group are significantly higher than those in the non-bone metastasis group. The predictive and diabnostic values would be improved further when SII combined with other single risk factors.http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2022.22.0422lung cancerbone metastasissystemic immune-inflammatory indexrisk factorstumor marker
spellingShingle TANG Min
LI Guixiang
Correlation of Systemic Immune Inflammatory Index and Tumor Markers with Bone Metastasis of Lung Cancer
Zhongliu Fangzhi Yanjiu
lung cancer
bone metastasis
systemic immune-inflammatory index
risk factors
tumor marker
title Correlation of Systemic Immune Inflammatory Index and Tumor Markers with Bone Metastasis of Lung Cancer
title_full Correlation of Systemic Immune Inflammatory Index and Tumor Markers with Bone Metastasis of Lung Cancer
title_fullStr Correlation of Systemic Immune Inflammatory Index and Tumor Markers with Bone Metastasis of Lung Cancer
title_full_unstemmed Correlation of Systemic Immune Inflammatory Index and Tumor Markers with Bone Metastasis of Lung Cancer
title_short Correlation of Systemic Immune Inflammatory Index and Tumor Markers with Bone Metastasis of Lung Cancer
title_sort correlation of systemic immune inflammatory index and tumor markers with bone metastasis of lung cancer
topic lung cancer
bone metastasis
systemic immune-inflammatory index
risk factors
tumor marker
url http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2022.22.0422
work_keys_str_mv AT tangmin correlationofsystemicimmuneinflammatoryindexandtumormarkerswithbonemetastasisoflungcancer
AT liguixiang correlationofsystemicimmuneinflammatoryindexandtumormarkerswithbonemetastasisoflungcancer