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

Padoan, Andrea; Basso, Daniela; Zambon, Carlo-Federico; Prayer-Galetti, Tommaso; Arrigoni, Giorgio; Bozzato, Dania; Moz, Stefania; Zattoni, Filiberto; Bellocco, Rino; Plebani, Mario

doi:10.1186/s12014-018-9199-8

Clinical Proteomics

Table 6 Naïve logistic regression, RCAL and SIMEX of serum MALDI-TOF/MS features found to be statistically significant (p < 0.05) following the Benjamini–Hochberg (BH) procedure

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

Features’ m/z	Naïve logistic regression			RCAL			SIMEX
Features’ m/z	β	OR	BH adjusted p-value	β*	β* 95% CI	OR	β*	β* 95% CI	OR
1020.5	0.32	1.37	0.032	0.52	0.16–0.87	1.68	0.44	0.17–0.71	1.55
1192.4	− 0.79	0.45	0.035	− 1.29	− 2.20 to − 0.38	0.28	− 1.56	− 2.45 to − 0.67	0.21
1218.6	− 0.95	0.39	0.017	− 1.54	− 2.46 to − 0.62	0.21	− 1.90	− 2.80 to − 0.99	0.15
1367.8	− 0.67	0.51	0.017	− 1.08	− 1.69 to − 0.47	0.34	− 1.01	− 1.56 to − 0.47	0.36
1405.7	0.69	2.00	0.023	1.13	0.39–1.86	3.08	1.24	0.54–1.94	3.46
1418.6	0.32	1.38	0.017	0.52	0.20–0.84	1.68	0.38	0.14–0.62	1.46
1418.6	0.32	1.38	0.017	0.63	0.24–1.01	1.87	0.38	0.13–0.61	1.46
1440.6	1.03	2.80	0.028	1.67	0.54–2.80	5.30	2.24	1.11–3.38	9.44
1460.7	0.62	1.85	0.043	1.00	0.26–1.74	2.72	1.10	0.38–1.81	2.99
1504.9	− 0.41	0.66	0.023	− 0.67	− 1.10 to − 0.23	0.51	− 0.55	− 0.92 to − 0.18	0.58
1591.1	− 0.65	0.52	0.017	− 1.06	− 1.68 to − 0.44	0.35	− 1.10	− 1.66 to − 0.54	0.33
1605.9	− 0.20	0.82	0.043	− 0.32	− 0.55 to − 0.08	0.73	− 0.21	− 0.37 to − 0.05	0.81
1719.0	− 0.49	0.61	0.021	− 0.79	− 1.30 − 0.28	0.45	− 0.69	− 1.13 to − 0.25	0.50
1739.9	0.26	1.30	0.017	0.42	0.17–0.67	1.52	0.28	0.11–0.46	1.33
1818.9	− 1.21	0.30	0.014	− 1.96	− 3.02 to − 0.89	0.14	− 2.53	− 3.58 to − 1.48	0.08
1826.7	− 0.82	0.44	0.014	− 1.34	− 2.05 to − 0.63	0.26	− 1.37	− 2.04 to − 0.70	0.25
1832.1	− 1.66	0.19	0.003	− 2.69	− 3.9 to − 1.47	0.07	− 3.52	− 4.79 to − 2.25	0.03
1835.0	− 0.72	0.49	0.017	− 1.17	− 1.86 to − 0.46	0.31	− 1.25	− 1.92 to − 0.58	0.29
1838.9	− 0.50	0.61	0.036	− 0.80	− 1.37 to − 0.23	0.45	− 0.74	− 1.25 to − 0.23	0.48
1847.0	− 0.37	0.69	0.017	− 0.60	− 0.96 to − 0.24	0.55	− 0.44	− 0.71 to − 0.17	0.64
1886.0	− 0.79	0.45	0.024	− 1.29	− 2.14 to − 0.44	0.28	− 1.43	− 2.27 to − 0.59	0.24
1895.9	0.30	1.35	0.017	0.48	0.20–0.76	1.62	0.34	0.14–0.54	1.40
1902.9	− 0.98	0.38	0.028	− 1.59	− 2.66 to − 0.51	0.20	− 2.12	− 3.21 to − 1.04	0.12
1919.2	− 0.73	0.48	0.023	− 1.18	− 1.95 to − 0.41	0.31	− 1.24	− 1.97 to − 0.51	0.29
1934.1	− 0.32	0.72	0.017	− 0.53	− 0.83 to − 0.22	0.59	− 0.37	− 0.59 to − 0.15	0.69
1968.9	− 1.03	0.36	0.017	− 1.67	− 2.71 to − 0.62	0.19	− 2.08	− 3.15 to − 1.02	0.12
1977.1	− 0.96	0.38	0.017	− 1.55	− 2.51 to − 0.59	0.21	− 1.90	− 2.87 to − 0.93	0.15
1980.2	− 1.01	0.36	0.017	− 1.65	− 2.67 to − 0.62	0.19	− 2.14	− 3.16 to − 1.11	0.12
1984.5	− 0.64	0.53	0.017	− 1.04	− 1.63 to − 0.44	0.35	− 0.96	− 1.51 to − 0.41	0.38
1994.9	− 1.53	0.22	0.012	− 2.48	− 3.75 to − 1.20	0.08	− 3.29	− 4.61 to − 1.97	0.04
2006.3	− 0.26	0.77	0.017	− 0.43	− 0.70 to − 0.16	0.65	− 0.30	− 0.49 to − 0.10	0.74
2037.1	− 0.82	0.44	0.032	− 1.33	− 2.25 to − 0.40	0.27	− 1.60	− 2.49 to − 0.71	0.20
3156.6	0.33	1.39	0.043	0.54	0.14–0.93	1.71	0.45	0.13–0.76	1.56
3272.6	0.52	1.69	0.029	0.85	0.27–1.43	2.34	0.82	0.29–1.34	2.27
3681.0	0.59	1.80	0.043	0.95	0.25–1.65	2.59	1.06	0.39–1.73	2.89

The results of RCAL were calculated using the median ICC; the SIMEX results were calculated using the within-subject σ². RCAL and SIMEX models were applied in order to obtain the unbiased regression coefficients β*
OR odds ratio, RCAL regression calibration analysis, SIMEX simulation and extrapolation analysis, BH Benjamini–Hochberg
*RCAL or SIMEX adjusted logistic regression coefficients

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ISSN: 1559-0275

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