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Multicenter Study
. 2017 Jun 20;8(25):41412-41421.
doi: 10.18632/oncotarget.17916.

The relationship between tumor markers and pulmonary embolism in lung cancer

Wei Xiong  1 , Yunfeng Zhao  2 , Mei Xu  3 , Jian Guo  4 , Bigyan Pudasaini  1 , Xueling Wu  5 , Jinming Liu  1
Affiliations
Multicenter Study

The relationship between tumor markers and pulmonary embolism in lung cancer

Wei Xiong et al. Oncotarget. .

Abstract

Background: Tumor markers (TMs) and D-Dimer are both hallmarks of severity and prognosis of lung cancer. Tumor markers could be related to pulmonary embolism (PE) in lung cancer.

Results: The number of abnormal tumor markers of lung cancer patients with pulmonary embolism (3.9 ± 1.1vs1.6 ± 0.6,P 0.005) was more than that in patients without pulmonary embolism. TMs panel (P trend < 0.001), CEA (R2 0.735, P0.003) and CYFRA21-1 (R2 0.718, P0.005) were positively correlated with D-Dimer in patients with pulmonary embolism. The multivariate logistic regression analysis showed that, for tumor markers, TMs panel (OR5.98, P < 0.001) had the strongest correlation with pulmonary embolism. The AUC (area under curve) of TMs panel and CEA were 0.82 [95%CI (0.71-0.95), P < 0.001] and 0.71 [95%CI (0.62-0.84), P 0.002] by ROC (receiver operating characteristic) curve analysis, respectively.

Materials and methods: Tumor markers were compared between lung cancer patients complicated with pulmonary embolism and those without pulmonary embolism Then the correlation between each tumor marker as well as panel of combined TMs and D-Dimer as well as pulmonary embolism were analyzed for patients with pulmonary embolism.

Conclusions: There is a relationship between tumor markers and pulmonary embolism in patients with lung cancer. The panel of combined tumor markers is a valuable diagnostic marker for pulmonary embolism in lung cancer.

Keywords: CEA; lung cancer; panel of combined tumor markers; pulmonary embolism; tumor markers.

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Conflict of interest statement

CONFLICTS OF INTEREST

The authors report no funding or conflicts of interest in this work.

Figures

Figure 1
Figure 1. Correlation between D-Dimer and CEA(R2 0.735, P0.003) as well as CYFRA21-1(R2 0.718, P0.005) in case group
Figure 2
Figure 2. Correlation between D-Dimer and number of abnormal TMs in case group(P trend < 0.001)
Figure 3
Figure 3. ROC curve for the diagnostic value of TMs panel and CEA in pulmonary embolism
Figure 4
Figure 4. Enrollment, screening, matching and assessment
See this image and copyright information in PMC

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