| Literature DB >> 35911763 |
Janna Berg1,2, Ann Rita Halvorsen3,4, May-Bente Bengtson1, Morten Lindberg5, Bente Halvorsen6,7, Pål Aukrust6,7,8, Åslaug Helland2,3,4, Thor Ueland6,7,9.
Abstract
Introduction: Persistent inflammation and immune activation in the lungs are associated with adverse outcomes such as radiation pneumonitis (RP) and poor survival in non-small-cell lung cancer (NSCLC) patients. However, it is unknown how this is reflected by leukocyte activation markers in serum. Objective: The aim was to evaluate the serum levels of activation of different leukocyte subsets and to examine those in relation to the pathogenesis of RP and survival in NSCLC.Entities:
Keywords: blood biomarkers; leukocyte subsets; lung cancer; radiation pneumonitis; radiation-induced lung injury (RILI); radiotherapy; stereotactic body radiation therapy; t cell
Mesh:
Year: 2022 PMID: 35911763 PMCID: PMC9329944 DOI: 10.3389/fimmu.2022.875152
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Markers included in the study.
| Markers for | Protein short name | Protein full name |
|---|---|---|
|
| sTIM3 | T cell immunoglobulin and mucin domain-containing protein 3 |
| sPD-1 | Programmed cell death 1 | |
| sCD25 | Soluble interleukin-2 receptor alpha chain (IL-2Rα) | |
|
| CCL19 | Chemokine (C-C motif) ligand 19 |
| CCL21 | Chemokine (C–C motif) ligand 21 | |
|
| MPO | Myeloperoxidase |
|
| sCD163 | Cluster of differentiation 163 |
| sCD14 | Cluster of differentiation 14 |
Patient characteristics in relation to study outcomes.
| Radiation Pneumonitis | 2-year mortality | 5-year mortality | ||||
|---|---|---|---|---|---|---|
| No (n = 47) | Yes (n = 19) | No (n = 46) | Yes (n = 20) | No (n = 25) | Yes (n = 41) | |
| Age, years | 73.7 (6.8) | 71.2 (9.4) | 73.4 (7.3) | 71.9 (8.4) | 73.0 (6.7) | 72.9 (8.2) |
| Male sex | 25 (53%) | 9 (47%) | 20 (44%) | 14 (70%)* | 13 (52%) | 21 (51%) |
| SBRT | 36 (77%)** | 8 (42%) | 34 (74%) | 10 (50%) | 20 (80%) | 24 (59%) |
| CCRT | 11 (23%) | 11 (58%)* | 12 (26%) | 10 (50%) | 5 (20%) | 17 (42%) |
| Previous smoker | 36 (77%)** | 8 (42%) | 34 (74%) | 10 (50%) | 18 (72%) | 26 (63%) |
| COPD | 27 (57%) | 9 (47%) | 25 (54%) | 11 (55%) | 12 (48%) | 24 (59%) |
| Morphology | 15 (38%) | 7 (41%) | 12 (32%) | 10 (53%) | 8 (33%) | 14 (42%) |
| Stage III | 8 (17%) | 8 (44%)* | 9 (20%) | 7 (35%) | 4 (16%) | 12 (30%) |
| Emphysema | 22 (47%) | 9 (47%) | 23 (50%) | 8 (40%) | 11 (44%) | 20 (49%) |
| Radiation Pneumonitis | 10 (22%) | 9 (45%) | 6 (24%) | 13 (32%) | ||
CCRT Concurrent chemoradiation therapy; SBRT Stereotactic body radiation therapy.*p<0.05, **p<0.01.
Figure 1The CONSORT study flow diagram.
Figure 2Temporal profile of sCD25, sTIM-3 and CCL21 in relation to radiation pneumonitis (RP) in (A) all patients and (B) within patients receiving stereotactic body radiation therapy (SBRT) or concurrent chemoradiation therapy (CCRT). The black p-value represents the effect of RP from the univariate general linear model, while the green p-value represents the interaction with time (RP*time). *p < 0.05, **p < 0.01 vs. baseline. †p < 0.05, ††p < 0.01 vs. RP- same time-point.
Figure 3Serum markers and mortality. (A) ROC analysis showing the AUC for baseline serum markers in relation to 2- and 5-year mortality. *p < 0.05, **p < 0.01, ***p < 0.001. (B) ROC curves for sCD25 and sTIM-3 with AUC (95% CI) in text. (C) Cox-regression analysis of baseline sCD25 and sTIM-3 in relation to mortality. HRs represent risk per 1 SD (log) change in serum markers and are shown with inclusion of the strongest baseline predictors as well as a composite score of these. Temporal profile of (D) sCD25 and (E) sTIM-3 in survivors (blue) and nonsurvivors (red). The black p-value represents the effect of mortality from the univariate general linear model, while the green p-value represents the interaction with time (mortality*time). *p < 0.05 vs. baseline. †p < 0.05, ††p < 0.01 vs. survivors at the same time point.