Introduction
Materials and methods
Study participants
Determination of selenium levels
Statistical analysis
Results
Features of the study cohort
N | % | |
---|---|---|
Sex | ||
Male | 70 | 70.7 |
Female | 29 | 29.3 |
Age, mean (range) in years | 66.8 (46–88) | – |
Smoking status | ||
Yes | 95 | 96.0 |
No | 4 | 4.0 |
Presence of metastases | ||
Non-metastatic | 57 | 57.6 |
Metastatic | 42 | 42.4 |
Chemotherapy | ||
Yes | 56 | 56.6 |
No | 43 | 43.4 |
Stereotactic | ||
Yes | 10 | 10.1 |
No | 89 | 89.9 |
EQD2, mean (range) in Gy | 61.9 (31.3–190.9) | – |
Borders of Kaplan–Meier analysis between t0 and t1 | ||
(1) most decrease (≤ −8.5 μg/l) | 14 | 14.1 |
(2) almost no change (−8.5–+8.5 μg/l) | 49 | 49.5 |
(3) most increase (≥ +8.5 μg/l) | 36 | 36.4 |
Borders of Kaplan-Meier analysis between t0 and t2 | ||
(1) most decrease (≤ −11.4 μg/l) | 16 | 16.2 |
(2) almost no change (−11.4–+11.4 μg/l) | 52 | 52.5 |
(3) most increase (≥ +11.4 μg/l) | 31 | 31.3 |
Overall survival (median) in months | 10 | – |
Serum selenium level (mean) in μg/l | ||
t0 | 63.6 (±18.5) | – |
t1 | 83.1 (±45.3) | – |
t2 | 83.6 (±59.0) | – |
Non-metastatic (n = 57) | Metastatic (n = 42) | |
---|---|---|
Sex | ||
Male | 42 (73.7%) | 28 (66.7%) |
Female | 15 (26.3%) | 14 (33.3%) |
Mean age in years | 68.8 | 64.5 |
Smoking | 53 (93.0%) | 42 (100%) |
OS median in months | 16.1 | 3.8 |
EQD2, mean in Gy | 62.5 | 52.1 |
Serum selenium levels (mean) in μg/l | ||
t0 | 62.4 | 64.9 |
t1 | 94.9 | 67.9 |
t2 | 97.9 | 65.9 |
Treatment-induced alterations of serum selenium levels
Correlation of the serum selenium status with clinical parameters of NSCLC patients at the distinct timepoints
Univariate analysis | Multivariate analysis | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Model 1 (Ia) | Model 2 (IIb) | Model 3 (IIIc) | Model 4 (IVd) | Model 5 (Ve) | ||||||||||||||
HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | |
t0 | 0.5 | 0.2–1.1 | 0.096 | 0.9 | 0.3–2.5 | 0.9 | 0.92 | 0.3–2.5 | 0.9 | 0.99 | 0.4–2.7 | 0.99 | 0.6 | 0.2–1.8 | 0.4 | 0.6 | 0.2–1.7 | 0.3 |
t1 | 0.48 | 0.3–0.8 | 0.005 | 0.5 | 0.3–0.9 | 0.03 | 0.5 | 0.3–0.9 | 0.03 | 0.5 | 0.3–0.9 | 0.03 | 0.6 | 0.3–1.2 | 0.2 | 0.6 | 0.3–1.2 | 0.2 |
t2 | 0.6 | 0.3–0.95 | 0.03 | 0.3 | 0.4–1.1 | 0.09 | 0.6 | 0.4–1.1 | 0.09 | 0.6 | 0.3–1.1 | 0.08 | 0.7 | 0.4–1.4 | 0.4 | 0.7 | 0.4–1.4 | 0.4 |
Univariate analysis | Multivariate analysis | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Model 1 (Ia) | Model 2 (IIb) | Model 3 (IIIc) | Model 4 (IVd) | ||||||||||||
HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | |
t0 | 0.3 | 0.1–0.9 | 0.04 | 0.4 | 0.1–1.3 | 0.1 | 0.4 | 0.1–1.4 | 0.2 | 0.5 | 0.1–2.0 | 0.3 | 0.4 | 0.1–1.6 | 0.2 |
t1 | 0.6 | 0.3–1.2 | 0.2 | 0.8 | 0.4–1.8 | 0.6 | 0.8 | 0.4–1.8 | 0.7 | 0.8 | 0.4–1.6 | 0.5 | 0.7 | 0.3‑1.5 | 0.4 |
t2 | 0.8 | 0.4–1.5 | 0.4 | 0.95 | 0.5–1.7 | 0.9 | 0.97 | 0.5–1.8 | 0.9 | 0.95 | 0.5–1.8 | 0.9 | 0.9 | 0.5–1.7 | 0.8 |
Univariate analysis | Multivariate analysis | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Model 1 (Ia) | Model 2 (IIb) | Model 3 (IIIc) | Model 4 (IVd) | ||||||||||||
HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | |
t0 | 0.7 | 0.2–2.5 | 0.5 | 2.2 | 0.4–13.3 | 0.4 | 1.7 | 0.2–12.2 | 0.6 | 2.0 | 0.3–15.5 | 0.5 | 2.0 | 0.3–15.9 | 0.5 |
t1 | 0.4 | 0.2–0.97 | 0.04 | 0.3 | 0.1–0.96 | 0.04 | 0.3 | 0.1–1.05 | 0.06 | 0.2 | 0.04–0.95 | 0.04 | 0.2 | 0.04–0.95 | 0.04 |
t2 | 0.2 | 0.1–0.8 | 0.02 | 0.1 | 0.02–0.6 | 0.01 | 0.1 | 0.02–0.8 | 0.03 | 0.1 | 0.02–0.8 | 0.03 | 0.1 | 0.02–0.8 | 0.03 |