Table 2.

Potential determinants of tumor growth

Tumor Growtha
Statistical significance and regression coefficienta
Overall tumor growth (β, 95% CI)1.060 (1.038–1.083)
Effect modifiers (P-value for interaction)
GenderP = 0.437
 Male, n = 34 (β, 95% CI)1.071 (1.036–1.108)
 Female, n = 46 (β, 95% CI)1.053 (0.975–1.138)
Age at lung NET diagnosisP = 0.356
 Reference value for age = 01.096 (1.019–1.178)
 Change per year (β, 95% CI)0.999 (0.997–1.001)
Smoking statusbP = 0.199
 Never smoked, n = 39 (β, 95% CI)1.065 (0.985–1.152)
 Former or current smoker, n = 19 (β, 95% CI)1.036 (0.999–1.074)
GenotypeP = 0.120
 Nonsense/frameshift exon 2,9,10 mutations n = 28 (β, 95% CI)1.036 (0.999–1.074)
 Other mutations,c n = 50 (β, 95% CI)1.074 (0.990–1.164)
GenotypeP = 0.408
 JunD interacting domain mutations,d n = 25 (β, 95% CI)1.071 (1.033–1.109)
 Other mutations,d n = 45 (β, 95% CI)1.050 (0.968–1.140)
GenotypeP = 0.106
 CHES1 interacting domain mutations,e n = 20 (β, 95% CI)1.031 (0.996–1.066)
 Other mutations,e n = 50 (β, 95% CI)1.068 (0.988–1.156)
GenotypeP = 0.447
 Missense mutations,f n = 15 (β, 95% CI)1.054 (1.026–1.082)
 Nonsense/frameshift mutations,f n = 40 (β, 95% CI)1.076 (0.992–1.167)
Baseline tumor sizeP = 0.147
 Diameter < median, n = 55 (β, 95% CI)1.057 (1.033–1.081)
 Diameter ≥ median, n = 59 (β, 95% CI)1.071 (1.028–1.116)
Tumor Growtha
Statistical significance and regression coefficienta
Overall tumor growth (β, 95% CI)1.060 (1.038–1.083)
Effect modifiers (P-value for interaction)
GenderP = 0.437
 Male, n = 34 (β, 95% CI)1.071 (1.036–1.108)
 Female, n = 46 (β, 95% CI)1.053 (0.975–1.138)
Age at lung NET diagnosisP = 0.356
 Reference value for age = 01.096 (1.019–1.178)
 Change per year (β, 95% CI)0.999 (0.997–1.001)
Smoking statusbP = 0.199
 Never smoked, n = 39 (β, 95% CI)1.065 (0.985–1.152)
 Former or current smoker, n = 19 (β, 95% CI)1.036 (0.999–1.074)
GenotypeP = 0.120
 Nonsense/frameshift exon 2,9,10 mutations n = 28 (β, 95% CI)1.036 (0.999–1.074)
 Other mutations,c n = 50 (β, 95% CI)1.074 (0.990–1.164)
GenotypeP = 0.408
 JunD interacting domain mutations,d n = 25 (β, 95% CI)1.071 (1.033–1.109)
 Other mutations,d n = 45 (β, 95% CI)1.050 (0.968–1.140)
GenotypeP = 0.106
 CHES1 interacting domain mutations,e n = 20 (β, 95% CI)1.031 (0.996–1.066)
 Other mutations,e n = 50 (β, 95% CI)1.068 (0.988–1.156)
GenotypeP = 0.447
 Missense mutations,f n = 15 (β, 95% CI)1.054 (1.026–1.082)
 Nonsense/frameshift mutations,f n = 40 (β, 95% CI)1.076 (0.992–1.167)
Baseline tumor sizeP = 0.147
 Diameter < median, n = 55 (β, 95% CI)1.057 (1.033–1.081)
 Diameter ≥ median, n = 59 (β, 95% CI)1.071 (1.028–1.116)

β stands for the regression coefficient from the linear mixed models analysis, denoting growth as change in tumor size (factor) per year. Statistical significance is shown in bold.

Abbreviation: CHES1, checkpoint kinase 1; CI, confidence interval; NET, neuroendocrine tumor.

aTumor growth was assessed using multilevel linear mixed models analysis, accounting for clustering of observations within lung tumors within patients. Logarithmic-transformed lung NET diameter was used as a dependent variable and follow-up time was used as main fixed effect. Potential determinants of tumor growth were treated as additional fixed (interacting) covariates.

bData on smoking status were available in 58/80 patients included in the growth analysis (72.5%).

cAll other mutations included. Patients without genetic analysis or with a CDKN1B mutation were treated as missings (n = 2).

dOnly patients with pathogenic germline nonsense, frameshift, missense mutations, and in-frame deletions included. JunD interacting domain: codons 1–40, 139–242, and 323–428.

eOnly patients with pathogenic germline nonsense, frameshift, missense mutations, and in-frame deletions included. CHES1 interacting domain: codons 428–610.

fOnly patients with pathogenic germline nonsense, frameshift, and missense mutations included.

Table 2.

Potential determinants of tumor growth

Tumor Growtha
Statistical significance and regression coefficienta
Overall tumor growth (β, 95% CI)1.060 (1.038–1.083)
Effect modifiers (P-value for interaction)
GenderP = 0.437
 Male, n = 34 (β, 95% CI)1.071 (1.036–1.108)
 Female, n = 46 (β, 95% CI)1.053 (0.975–1.138)
Age at lung NET diagnosisP = 0.356
 Reference value for age = 01.096 (1.019–1.178)
 Change per year (β, 95% CI)0.999 (0.997–1.001)
Smoking statusbP = 0.199
 Never smoked, n = 39 (β, 95% CI)1.065 (0.985–1.152)
 Former or current smoker, n = 19 (β, 95% CI)1.036 (0.999–1.074)
GenotypeP = 0.120
 Nonsense/frameshift exon 2,9,10 mutations n = 28 (β, 95% CI)1.036 (0.999–1.074)
 Other mutations,c n = 50 (β, 95% CI)1.074 (0.990–1.164)
GenotypeP = 0.408
 JunD interacting domain mutations,d n = 25 (β, 95% CI)1.071 (1.033–1.109)
 Other mutations,d n = 45 (β, 95% CI)1.050 (0.968–1.140)
GenotypeP = 0.106
 CHES1 interacting domain mutations,e n = 20 (β, 95% CI)1.031 (0.996–1.066)
 Other mutations,e n = 50 (β, 95% CI)1.068 (0.988–1.156)
GenotypeP = 0.447
 Missense mutations,f n = 15 (β, 95% CI)1.054 (1.026–1.082)
 Nonsense/frameshift mutations,f n = 40 (β, 95% CI)1.076 (0.992–1.167)
Baseline tumor sizeP = 0.147
 Diameter < median, n = 55 (β, 95% CI)1.057 (1.033–1.081)
 Diameter ≥ median, n = 59 (β, 95% CI)1.071 (1.028–1.116)
Tumor Growtha
Statistical significance and regression coefficienta
Overall tumor growth (β, 95% CI)1.060 (1.038–1.083)
Effect modifiers (P-value for interaction)
GenderP = 0.437
 Male, n = 34 (β, 95% CI)1.071 (1.036–1.108)
 Female, n = 46 (β, 95% CI)1.053 (0.975–1.138)
Age at lung NET diagnosisP = 0.356
 Reference value for age = 01.096 (1.019–1.178)
 Change per year (β, 95% CI)0.999 (0.997–1.001)
Smoking statusbP = 0.199
 Never smoked, n = 39 (β, 95% CI)1.065 (0.985–1.152)
 Former or current smoker, n = 19 (β, 95% CI)1.036 (0.999–1.074)
GenotypeP = 0.120
 Nonsense/frameshift exon 2,9,10 mutations n = 28 (β, 95% CI)1.036 (0.999–1.074)
 Other mutations,c n = 50 (β, 95% CI)1.074 (0.990–1.164)
GenotypeP = 0.408
 JunD interacting domain mutations,d n = 25 (β, 95% CI)1.071 (1.033–1.109)
 Other mutations,d n = 45 (β, 95% CI)1.050 (0.968–1.140)
GenotypeP = 0.106
 CHES1 interacting domain mutations,e n = 20 (β, 95% CI)1.031 (0.996–1.066)
 Other mutations,e n = 50 (β, 95% CI)1.068 (0.988–1.156)
GenotypeP = 0.447
 Missense mutations,f n = 15 (β, 95% CI)1.054 (1.026–1.082)
 Nonsense/frameshift mutations,f n = 40 (β, 95% CI)1.076 (0.992–1.167)
Baseline tumor sizeP = 0.147
 Diameter < median, n = 55 (β, 95% CI)1.057 (1.033–1.081)
 Diameter ≥ median, n = 59 (β, 95% CI)1.071 (1.028–1.116)

β stands for the regression coefficient from the linear mixed models analysis, denoting growth as change in tumor size (factor) per year. Statistical significance is shown in bold.

Abbreviation: CHES1, checkpoint kinase 1; CI, confidence interval; NET, neuroendocrine tumor.

aTumor growth was assessed using multilevel linear mixed models analysis, accounting for clustering of observations within lung tumors within patients. Logarithmic-transformed lung NET diameter was used as a dependent variable and follow-up time was used as main fixed effect. Potential determinants of tumor growth were treated as additional fixed (interacting) covariates.

bData on smoking status were available in 58/80 patients included in the growth analysis (72.5%).

cAll other mutations included. Patients without genetic analysis or with a CDKN1B mutation were treated as missings (n = 2).

dOnly patients with pathogenic germline nonsense, frameshift, missense mutations, and in-frame deletions included. JunD interacting domain: codons 1–40, 139–242, and 323–428.

eOnly patients with pathogenic germline nonsense, frameshift, missense mutations, and in-frame deletions included. CHES1 interacting domain: codons 428–610.

fOnly patients with pathogenic germline nonsense, frameshift, and missense mutations included.

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