4.6 Article

Associations of systemic inflammation markers with identification of pulmonary nodule and incident lung cancer in Chinese population

Journal

CANCER MEDICINE
Volume 11, Issue 12, Pages 2482-2491

Publisher

WILEY
DOI: 10.1002/cam4.4606

Keywords

CT scan; lung cancer; neutrophil-to-lymphocyte ratio; platelet-to-lymphocyte ratio; pulmonary nodules; systemic immune-inflammation index

Categories

Funding

  1. Science Fund for Creative Research Groups of the National Natural Science Foundation of China [81521004]
  2. Research Unit of Prospective Cohort of Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences [2019RU038]
  3. China Postdoctoral Science Foundation [2019 M651900]
  4. Nature Science Foundation of Jiangsu Province [BK20190652]
  5. Jiangsu Province Health and Family Planning Research Project [H2017019]
  6. Graduate Research and Innovation Program of Jiangsu Province [KYCX20_1413]

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This study found that the systemic inflammation markers NLR, PLR, and SII were associated with poor lung cancer prognosis. Additionally, high levels of these markers were also found to be associated with an increased risk of positive nodules and lung cancer.
Objectives Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), easily accessible systemic inflammation response parameters, were reported to associate with poor lung cancer prognosis. However, research on the effects of these markers on the risk of positive nodules (PNs) and lung cancer is limited. Methods Participants in this retrospective study were those who had their first computed tomography (CT) screening at Jiangsu Province Hospital's Health Promotion Center between January 1, 2017 and December 31, 2020. We identified PNs (>= 6 mm in diameter) from free text of CT reports and lung cancer from medical records. Multivariate logistic analysis was used to assess the association between NLR, PLR, or SII and PNs or lung cancer. Results The detected rate of PNs was 9.60% among the 96,476 participants. Age, smoking and body mass index were possible influencing factors for PNs. We observed linear dose-effect relationship between NLR, PLR, or SII and PNs (p(non-linear) > 0.05). Compared with low quintile, participants with top quintiles of NLR, PLR or SII had an increased risk of PNs, with the adjusted ORs of 1.19 (1.11-1.28), 1.11 (1.04-1.19) or 1.11 (1.03-1.18), respectively. Meanwhile, NLR showed the U-shaped relationship with lung cancer, with adjusted ORs of 1.40 (1.08-1.81) comparing highest NLR quintile to the third quintile. The high PLR and SII showed significantly associated with lung cancer with adjusted ORs of 1.29 (0.99-1.68) and 1.35 (1.04-1.74) comparing to the lowest quintile. Conclusions The high levels of systemic inflammation markers were associated with the risk of positive pulmonary nodules and lung cancer, which suggested systemic immune response may be an important pre-clinical feature for the early identification of diseases.

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