ArticleAmerican journal of translational research2026
Predictive value of the combined application of oxidative stress indicators and carcinoembryonic antigen for patients with early lung adenocarcinoma.
Article in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesTo explore the expression levels of oxidative stress indicators and carcinoembryonic antigen (CEA) in different pathologic types of pulmonary ground-glass nodules (GGN) and their predictive value for early lung adenocarcinoma.
methodsThis study was a retrospective analysis. General data were collected from 100 patients diagnosed in The Affiliated Taizhou People's Hospital of Nanjing Medical University from February 2022 to May 2024 with GGN in the lungs. According to pathologic types, they were divided into the glandular prodromal lesion group (n=39) and the lung adenocarcinoma group (n=61). The pretreatment levels of CEA, reactive oxygen species (ROS), superoxide dismutase (SOD), and malondialdehyde (MDA) were compared between the two groups. Risk factors for developing early-stage lung adenocarcinoma were screened by univariate versus multivariate logistic regression analysis. The receiver operator characteristic curve (ROC) was used to evaluate the predictive value of each index for early lung adenocarcinoma.
resultsCompared to the glandular prodromal lesion group, the levels of ROS, MDA and CEA in the lung adenocarcinoma group were significantly higher, while the level of SOD was significantly lower (P<0.05). Multifactorial logistic regression analysis showed that high MDA (OR=7.205, 95% CI: 1.587-32.704), high ROS (OR=3.553, 95% CI: 1.552-8.136), and high CEA (OR=3.241, 95% CI: 1.343-7.818) were risk factors for developing early-stage lung adenocarcinoma (all P<0.05) while elevated SOD levels were a protective factor (OR=0.513, 95% CI: 0.328-0.803, P<0.05). ROC curve analysis showed that the combined application of tests had the highest predictive efficacy, with an area under the curve (AUC) of 0.887, both higher than those of the single tests.
conclusionsOxidative stress indicators and CEA show regular changes in GGN. Combined detection can significantly improve the predictive ability for early lung adenocarcinoma.
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