| Literature DB >> 34113561 |
Peng Wang1, Ying Li2, Lu Li3, Rong Zhong4, Na Shen2.
Abstract
OBJECTIVE: A hot genetic variant, rs641738 within the membrane-bound O-acyltransferase domain containing 7(MBOAT7) and transmembrane channel-like 4 (TMC4), was recently reported to be associated with several liver diseases. However, the results remain controversial. Therefore, this study aimed to explore the role of MBOAT7-TMC4 rs641738 in the risk of hepatocellular carcinoma (HCC) and persistent hepatitis B virus (HBV) infection.Entities:
Keywords: MBOAT7 gene; case-control study; hepatocellular carcinoma; persistent HBV infection; rs641738; susceptibility
Year: 2021 PMID: 34113561 PMCID: PMC8185222 DOI: 10.3389/fonc.2021.639438
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
The characteristics of the included subjects.
| Variables | HCC, N (%) | Persistent HBV carriers, N (%) | Spontaneously recovered subjects, N (%) | χ2/F |
|
|---|---|---|---|---|---|
| Total | 779 | 678 | 734 | ||
| Sex | 1.191 | 0.551 | |||
| Male | 550 (70.6) | 466 (68.7) | 500 (68.1) | ||
| Female | 229 (29.4) | 212 (31.3) | 234 (31.9) | ||
| Age (mean ± SD) | 53.20 ± 12.49 | 52.27 ± 11.45 | 52.28 ± 12.89 | 1.428 | 0.240 |
| Smoking status | 5.280 | 0.071 | |||
| Smokers | 301 (38.6) | 243 (35.8) | 242 (33.0) | ||
| Non-smokers | 478 (61.4) | 435 (64.2) | 492 (67.0) | ||
| Drinking status | 4.803 | 0.091 | |||
| Drinkers | 270 (34.7) | 265 (39.1) | 291 (39.6) | ||
| Non-drinkers | 509 (65.3) | 413 (60.9) | 443 (60.4) |
SD, standard deviation.
The effects of MBOAT7-TMC4 rs641738 on persistent HBV infection and HCC.
| Genotypes | HCC, N (%) | Persistent HBV carriers, N (%) | Spontaneously recovered subjects, N (%) | Adjusted OR (95% CI), | Adjusted OR (95% CI), | Adjusted OR (95% CI), | Adjusted OR (95% CI), |
|---|---|---|---|---|---|---|---|
| CC | 426 (54.7) | 380 (56.1) | 420 (57.7) | Reference | Reference | Reference | Reference |
| CT | 295 (37.9) | 264 (39.0) | 264 (36.3) | 1.05 (0.87–1.27), 0.604 | 1.00 (0.82–1.24), 0.981 | 1.10 (0.89–1.37), 0.370 | 1.11 (0.89–1.38), 0.366 |
| TT | 58 (7.4) | 33 (4.9) | 44 (6.0) | 1.47 (1.02–2.12), 0.037 | 1.64 (1.04–2.57), 0.033 | 1.35 (0.89–2.05), 0.164 | 0.85 (0.53–1.36), 0.491 |
| Dominant model | 1.10 (0.92–1.32), 0.280 | 1.07 (0.87–1.32), 0.541 | 1.14 (0.93–1.40), 0.219 | 1.07 (0.87–1.32), 0.529 | |||
| Recessive model | 1.44 (1.01–2.06), 0.044 | 1.64 (1.05–2.55), 0.029 | 1.29 (0.86–1.95), 0.218 | 0.81 (0.51–1.29), 0.383 | |||
| Additive model | 1.13 (0.98–1.31), 0.094 | 1.13 (0.95–1.33), 0.172 | 1.13 (0.96–1.34), 0.138 | 1.02 (0.85–1.21), 0.851 | |||
| Allelic model (T | 1.13 (0.98–1.30), 0.095 | 1.12 (0.95–1.33), 0.175 | 1.14 (0.96–1.34), 0.135 | 1.02 (0.86–1.21), 0.853 | |||
HCC vs. (persistent HBV carriers + spontaneously recovered subjects), adjusted for sex, age, smoking, and drinking status.
HCC vs. persistent HBV carriers, adjusted for sex, age, smoking,and drinking status.
HCC vs. spontaneously recovered subjects, adjusted for sex, age, smoking, and drinking status.
Persistent HBV carriers vs. spontaneously recovered subjects, adjusted for sex, age, smoking, and drinking status.
Figure 1Flowchart of literature search and study selection.
The characteristics of the included studies.
| Study | Country | Ethnicity | Male, N (%) | Age (mean ± SD or mean [25th, 75th percentile]) | Cases | Controls | Genotype (CC/TC/TT) | Genotyping method | Adjustment | HWE | NOS score* | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Case | Control | |||||||||||
| Thabet (2016) ( | Multi-country | Caucasian | Case: NA; Control: 1101 (64.5) | Case: NA; Control: 44.9 (38–52) | 75 | 1706 | 24/35/16 | 16/531/822 | TaqMan | Age, gender, BMI and Child-Pugh score | 0.288 | 9 |
| Stickel (2018) ( | Switzerland | Mixed | Case: 679 (90); Control: 817 (70) | Case: 61 ± 10; Control: 55 ± 10 | 751 | 1165 | 203/363/185 | 185/314/583 | TaqMan | Age, gender, BMI, and type II diabetes mellitus | 0.934 | 7 |
| Raksayot (2019) ( | Thailand | NA | Case: 424 (0.8); Control: 77 (73.3) | HBV-HCC: 62.1 ± 7.8, HCV-HCC: 62.2 ± 7.5, NBNC-HCC: 63.3 ± 9.3; Control: 50.7 ± 4.6 | 530 | 105 | 279/213/38 | 38/66/34 | TaqMan | No | 0.818 | 6 |
| This study | China | Chinese | Case: 550 (70.6); Control: 966 (68.4) | Case: 53.2 ± 12.5; Control: 52.3 ± 12.2 | 779 | 1412 | 426/295/58 | 58/800/528 | Massary | Age, sex, smoking and drinking status | 0.403 | 7 |
*NOS score ≥ 7 is often considered as high-quality.
Figure 2The forest plot of the association between MBOAT7-TMC4 rs641738 and HCC risk under the allelic model.
Meta-analysis of the association between MBOAT7-TMC4 rs641738 and HCC risk under other genetic models.
| Genetic model | OR (95%CI) |
|
| Sensitivity analysis |
|
|
|---|---|---|---|---|---|---|
| Codominant model (CT | 1.04 (0.92–1.19) | 0.394 | 0 | Stable | 0.591 | 1.000 |
| Codominant model (TT | 1.18 (0.97–1.43) | 0.472 | 0 | Stable | 0.548 | 0.734 |
| Dominant model | 1.08 (0.95–1.22) | 0.352 | 8.2 | Stable | 0.634 | 1.000 |
| Recessive model | 1.17 (0.98–1.38) | 0.623 | 0 | Stable | 0.529 | 0.734 |
| Additive model | 1.08 (0.99–1.18) | 0.367 | 5.1 | Stable* | 0.522 | 0.308 |
*Under the additive model, all pooled results were quite stable, except for excluding the study by Stickel (2018) (9). The pooled OR and 95% CI was 1.13 (1.00–1.28) when we excluded the study of Stickel (2018) (9) under the additive model.