MALDI-TOF peptidomic analysis of serum and post-prostatic massage urine specimens to identify prostate cancer biomarkers

Table 5 Naïve and RCAL logistic regression results for urinary MALDI-TOF/MS features

m/z	Naïve logistic regression			RCAL			SIMEX
m/z	β	OR	Wald test p value	β*	β* 95% CI	OR	β*	β* 95% CI	OR
1399.8	0.324	1.38	0.032	0.707	0.06–1.35	2.03	0.342	0.03–0.651	1.41
1404.6	0.435	1.54	0.012	0.947	0.21–1.69	2.57	0.459	0.11–0.81	1.58
1553.8	− 0.517	0.60	0.038	− 1.129	− 2.20 to − 0.06	0.32	− 0.600	− 1.13 to − 0.04	0.55
1556.0	− 0.757	0.47	0.018	− 1.652	− 3.03 to − 0.27	0.19	− 0.868	− 1.58 to − 0.12	0.42
1688.0	− 0.710	0.49	0.014	− 1.549	− 2.79 to − 0.30	0.21	− 0.833	− 1.48 to − 0.16	0.43
1707.1	− 0.928	0.40	0.008	− 2.025	− 3.53 to − 0.51	0.13	− 1.051	− 1.85 to − 0.25	0.35
1755.7	− 0.269	0.76	0.018	− 0.591	− 1.08 to − 0.10	0.55	− 0.270	− 0.50 to − 0.05	0.76
1782.1	− 0.767	0.46	0.040	− 1.674	− 3.28 to − 0.06	0.19	− 0.977	− 1.79 to − 0.01	0.38
2416.3	− 0.552	0.58	0.045	− 1.205	− 2.38 to − 0.02	0.30	− 0.565	− 1.20 to 0.01	0.57
2594.3	− 0.543	0.58	0.029	− 1.184	− 2.25 to − 0.12	0.31	− 0.601	− 1.14 to − 0.08	0.55
2797.8	− 0.516	0.60	0.042	− 1.126	− 2.21 to − 0.04	0.32	− 0.550	− 1.06 to − 0.01	0.58

The results of RCAL were calculated using the median ICC; the SIMEX results were calculated using the within-subject σ². Beta coefficients represent the logistic regression coefficient results, while the β* represent the RCAL and SIMEX results. These two models were applied in order to obtain the unbiased regression coefficients β*
OR odds ratio, RCAL regression calibration analysis, SIMEX simulation and extrapolation analysis
Wald test p value = univariate statistics obtained from the logistic regression, without adjusting p values for multiple comparison
*RCAL or SIMEX adjusted logistic regression coefficient

ISSN: 1559-0275