SNP rs12982687 affects binding capacity of lncRNA UCA1 with miR-873-5p: involvement in smoking-triggered colorectal cancer progression

Fu, Yang; Zhang, Yizheng; Cui, Jinyuan; Yang, Ge; Peng, Sanfei; Mi, Wunan; Yin, Xiangya; Yu, Yang; Jiang, Jianwu; Liu, Qi; Qin, Yiyu; Xu, Wen

doi:10.1186/s12964-020-0518-0

Cell Communication and Signaling

Table 3 Interactive analysis between rs12982687 within UCA1 and living habits on susceptibility to colorectal cancer

From: SNP rs12982687 affects binding capacity of lncRNA UCA1 with miR-873-5p: involvement in smoking-triggered colorectal cancer progression

Clinical feature	Genotype	Characteristics	Case	Control	P value	OR (95% CI)	βe	βeg	γ value^*
Age (years)	TT	<50	32	79			0.00
	CT	<50	42	86	0.506	1.21 (0.69–2.09)	0.19
	CC	<50	265	508	0.255	1.29 (0.83–1.99)	0.25
	TT	≥50	5	15	0.726	0.82 (0.28–2.45)	0.00	−0.19	–
	CT	≥50	220	477	0.563	1.14 (0.73–1.77)	0.19	0.13	0.68
	CC	≥50	198	243	0.002	2.01 (1.28–3.16)	0.25	0.70	2.80
Gender	TT	Female	13	40			0.00
	CT	Female	65	110	0.090	1.82 (0.91–3.65)	0.60
	CC	Female	111	151	0.015	2.26 (1.16–4.43)	0.82
	TT	Male	24	54	0.436	1.37 (0.62–3.01)	0.00	0.31	–
	CT	Male	197	453	0.377	1.34 (0.70–2.56)	0.60	0.29	0.49
	CC	Male	352	600	0.067	1.81 (0.95–3.42)	0.82	0.59	0.72
Smoking	TT	None	8	39			0.00
	CT	None	43	185	0.768	1.13 (0.49, 2.60)	0.12
	CC	None	146	358	0.081	1.99 (0.91, 4.36)	0.69
	TT	Often	29	55	0.033	2.57 (1.06, 6.22)	0.00	0.94	–
	CT	Often	219	378	0.007	2.82 (1.30, 6.15)	0.12	1.04	8.65
	CC	Often	317	393	< 0.001	3.93 (1.81, 8.54)	0.69	1.37	1.98
Alcohol	TT	None	25	18			0.00
	CT	None	81	332	< 0.001	0.18 (0.09–0.34)	−1.74
	CC	None	99	298	< 0.001	0.24 (0.13–0.46)	−1.43
	TT	Often	12	76	< 0.001	0.11 (0.05–0.27)	0.00	−2.17	–
	CT	Often	181	231	0.075	0.56 (0.30–1.07)	−1.74	−0.57	0.33
	CC	Often	364	453	0.081	0.58 (0.31–1.08)	−1.43	− 0.55	0.38
Fruit intake, > 1 serving/day	TT	Yes	8	79			0.00
	CT	Yes	146	166	0.913	0.97 (0.61, 1.55)	− 0.03
	CC	Yes	279	342	0.351	1.25 (0.78, 1.99)	0.22
	TT	No	29	15	0.443	1.45 (0.56, 3.79)	0.00	0.37	–
	CT	No	116	397	0.006	1.97 (1.21, 3.20)	−0.03	0.68	−22.59
	CC	No	184	409	0.002	2.05 (1.30, 3.21)	0.22	0.72	3.26
Vegetable intake, > 1 serving/day	TT	Yes	12	92			0.00
	CT	Yes	177	383	< 0.001	4.14 (2.22, 7.74)	1.42
	CC	Yes	294	515	< 0.001	3.93 (2.12, 7.30)	1.37
	TT	No	25	2	< 0.001	95.83 (20.12, 456.46)	0.00	4.56	–
	CT	No	85	180	0.011	2.34 (1.20, 4.59)	1.42	0.85	0.60
	CC	No	169	236	< 0.001	6.46 (3.44, 12.14)	1.37	1.87	1.36
Foods or beverages temperature	TT	Warm	23	61			0.00
	CT	Warm	126	310	0.778	1.08 (0.64–1.82)	0.08
	CC	Warm	119	253	0.410	1.25 (0.74–2.11)	0.22
	TT	Hot	14	33	0.769	1.13 (0.51–2.47)	0.00	0.12	–
	CT	Hot	136	253	0.182	1.43 (0.85–2.41)	0.08	0.35	4.43
	CC	Hot	344	498	0.016	1.83 (1.11–3.02)	0.22	0.61	2.75
Smoked or pickled foods intake	TT	None	25	47			0.00
	CT	None	120	277	0.448	0.81 (0.48–1.38)	−0.21
	CC	None	150	278	0.957	1.01 (0.60–1.71)	0.01
	TT	Often	12	47	0.069	0.48 (0.22–1.07)	0.00	−0.73	–
	CT	Often	142	286	0.797	0.93 (0.55–1.58)	− 0.21	− 0.07	0.33
	CC	Often	313	473	0.397	1.24 (0.75–2.06)	0.01	0.22	21.84

*The interaction coefficient (i.e. γ) was the result of βeg divided by βe. In case of γ > 1, genetic factors amplified the effect of environmental exposures; in case of γ > 1, genetic factors weakened the effect of environmental exposures; in case of γ = 1, no interaction was present between genetic factors and environmental exposures. When the environmental exposure was detrimental, genetic factors were deemed to be strongly protective in case of βe > 0 and γ < 0. The bold results indicated there is a statistically significance when its p value <0.05

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