Literature DB >> 32648293

CASR rs1801725 polymorphism is associated with the risk and prognosis of colorectal cancer: A case-control study.

Yu-E Diao1, Qing Xu2.   

Abstract

BACKGROUND: The extracellular calcium-sensing receptor (CASR) controls body calcium homeostasis. Increased levels of calcium are associated with protecting against colorectal cancer (CRC). This study aimed to determine the relationship between CASR gene rs1801725 polymorphism and CRC risk and prognosis.
METHODS: We conducted a hospital-based case-control study and a meta-analysis to evaluate the association of CASR gene rs1801725 polymorphism with CRC susceptibility.
RESULTS: This study proved that CASR rs1801725 polymorphism was associated with a higher risk to develop CRC (TT vs GG: OR 1.92, 95% CI [1.03-3.59], P = .042; T vs G: OR 1.30, 95% CI [1.03-1.64], P = .030). Subgroup analysis showed that this polymorphism increased the risk of CRC among smokers, and those aged ≥60 years (TT vs GG: OR 3.37, 95% CI [1.12-10.14], P = .034). We also found that this polymorphism was associated with the tumor size, TNM stage, and lymph node metastasis of CRC (GT vs GG: OR 2.03, 95% CI [1.32-3.10], P = .001). In addition, CASR gene rs1801725 polymorphism correlated with the survival of CRC patients. Further meta-analysis also obtained a significant association between this SNP and CRC risk (TT + GT vs GG: OR 1.28, 95% CI [1.01, 1.63], P = .041). Subgroup analyses by ethnicity observed a link between rs1801725 polymorphism and CRC risk in Asians, but not in Caucasians and mixed populations.
CONCLUSION: In conclusion, this case-control study and meta-analysis showed that CASR rs1801725 polymorphism increased the risk of CRC. Further studies from other races are urgently needed.
© 2020 The Authors. Journal of Clinical Laboratory Analysis Published by Wiley Periodicals LLC.

Entities:  

Keywords:  CASR; case-control study; colorectal cancer; meta-analysis; single nucleotide polymorphism

Year:  2020        PMID: 32648293      PMCID: PMC7676189          DOI: 10.1002/jcla.23463

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


INTRODUCTION

Colorectal cancer (CRC) is the second leading cause of cancer‐related mortality worldwide. , , Approximately 20% of CRC patients were reported to have distant metastasis at the time of presentation. However, the etiology of CRC is still not clearly understood. Many risk factors including diet, smoking status, and alcohol consumption are proved to be significantly associated with the risk of CRC. , , , , , Many studies demonstrated that high calcium intake may help to reduce the risk of CRC. , Calcium is involved in cell proliferation and differentiation, reducing the rate of colonic epithelial cell proliferation. Calcium‐sensing receptor (CASR) and calcium are good tissue controllers for colon cells. Calcium inhibits the normal proliferation of colon cells through CASR signaling. CASR plays a key role in maintaining calcium balance by regulating the parathyroid hormone (PTH) secreted by the parathyroid glands. CASR was reported to be as a tumor suppressor in colon cancer. The CASR gene, containing seven exons, is located on chromosome 3q13. A single nucleotide polymorphism (SNP) of CASR gene, rs1801725 polymorphism, is associated with higher levels of serum calcium. Recently, some studies have focused on the analysis of association between the CASR gene rs1801725 polymorphism and CRC risk. , , , , , , However, no studies exploring the association between CASR rs1801725 polymorphism and CRC risk in Chinese Han populations were reported. Thus, we performed this hospital‐based case‐control study and meta‐analysis to assess evaluate the association of CASR gene rs1801725 polymorphism with CRC risk.

MATERIALS AND METHODS

Participants

This hospital‐based case‐control study included 437 histologically confirmed CRC cases and 490 cancer‐free controls. All patients provided written informed consent before their inclusion in the study, according to the Declaration of Helsinki. This study got the approvement from ethical Committee of Nantong Third People's Hospital (Nantong, China). Patients with histologically confirmed CRC newly diagnosed were enrolled in this study. Patients with neuroendocrine carcinoma, malignant melanoma, gastrointestinal stromal tumor, and metastatic colorectal carcinoma did not meet the inclusion criteria. 490 healthy donors were recruited from the hospital physical examination center at the same period. Controls were excluded if they had history of gastrointestinal disease or any chronic diseases. All patients and controls were Chinese and genetically unrelated. We obtained the sociodemographic parameters (age, sex, family history of cancer, body mass index (BMI), dietary calcium, and tumor site) through medical records.

DNA extraction and genotyping

Blood samples were collected with EDTA containing tubes. According to the manufacturer's instructions, DNA was extracted from peripheral blood using the QIAamp DNA Blood Mini Kit (Qiagen). The DNA quality was determined by measuring the optical density OD 260/280 ratio. SNP genotyping was performed by polymerase chain reaction‐restriction fragment length polymorphism (PCR‐RFLR). The primers were 5’‐CTGAGCTTTGATGAGCCTCAGAAGGAC‐3’ (forward) and 5’‐CACTGATGACAAGCTCTGTGAACTGGA‐3’ (reverse). Polymerase chain reaction amplifications were performed 93°C for 10 minutes and then 35 cycles of 93°C for 45 seconds, then 63°C for 30 seconds, then 72°C for 45 seconds and in the end final extension at 72°C for 10 minutes. The products were run on 3% agarose gel and stained with ethidium bromide for visualization under UV light.

Methods

The goodness‐of‐fit chi‐squared test was used to test deviation of the genotype frequencies from Hardy‐Weinberg equilibrium (HWE) principle. Differences in the demographic or risk factors were examined by t‐test or chi‐squared test. Logistic regression was performed to evaluate the association between CASR rs1801725 polymorphism and risk of CRC with odds ratios (ORs) and 95% confidence intervals (CIs). For statistical analyses, we used the SAS software package (ver. 9.1.3; SAS Institute, Cary, NC, USA). Further, we conducted a meta‐analysis to fully investigate the role of CASR rs1801725 polymorphism with CRC. This meta‐analysis was performed using the Stata 11.0 software (StataCorp, College Station, TX, USA). P < .05 was considered statistically significant. , ,

RESULTS

Characteristics of study population

The baseline characteristics of the study population are shown in Table 1. No significant differences were observed regarding the age, sex, smoking, and alcohol consumption. Other clinical features of CRC are presented in Table 1.
TABLE 1

Patient demographics and risk factors in colorectal cancer

VariableCases (n = 437)Controls (n = 490) P
Age (years)55.72 ± 9.6855.64 ± 10.50.912
Sex
Male317 (72.5%)352 (71.8%).811
Female120 (27.5%)138 (28.2%)
Smoking
Yes210 (48.1%)231 (47.1%).792
No227 (51.9%)259 (52.9%)
Alcohol
Yes186 (42.6%)211 (43.1%).894
No251 (57.4%)279 (56.9%)
Histological grade
Well differentiated96 (22.0%)
Moderate differentiated292 (66.8%)
Poor differentiated49 (11.2%)
TNM stage
Ⅰ+Ⅱ245 (56.1%)
Ⅲ+Ⅳ192 (43.9%)
Tumor size
>5 cm195 (44.6%)
≤5 cm242 (55.4%)
Lymph node metastasis
No238 (54.5%)
Yes199 (45.5%)
Distant metastasis
M0360 (82.4%)
M177 (17.6%)

Bold values are statistically significant (P < .05).

Abbreviation: BMI, Body Mass Index.

Patient demographics and risk factors in colorectal cancer Bold values are statistically significant (P < .05). Abbreviation: BMI, Body Mass Index.

Association of CASR gene rs1801725 polymorphism with the risk of CRC

The genotype distribution in the controls conformed to HWE, suggesting these subjects could represent the total population. As shown in Table 2, TT genotype of rs1801725 polymorphism could increase the risk of CRC compare to GG genotype (TT vs GG: OR 1.92, 95% CI [1.03‐3.59], P = .042). This significant association was also observed in the allelic model.
TABLE 2

Logistic regression analysis of associations between CASR rs1801725 polymorphism and risk of colorectal cancer

GenotypeCases* (n = 437)Controls* (n = 490)OR (95% CI) P
n%n%
GT vs GG125/28428.6/65.0128/34326.1/70.01.18 (0.88, 1.58).269
TT vs GG27/2846.2/65.017/3433.5/70.0 1.92 (1.03, 3.59) .042
TT vs GT + GG27/4096.2/93.617/4713.5/96.11.83 (0.98, 3.40).057
TT + GT vs GG152/28434.8/65.0145/34329.6/70.01.27 (0.96, 1.67).095
T vs G179/69320.5/79.3162/81416.5/83.1 1.30 (1.03, 1.64) .030

Bold values are statistically significant (P < .05).

The genotyping was successful in 436 cases and 488 controls.

Logistic regression analysis of associations between CASR rs1801725 polymorphism and risk of colorectal cancer Bold values are statistically significant (P < .05). The genotyping was successful in 436 cases and 488 controls. Next, we conducted the subgroup analysis of sex, smoking, alcohol, and age (Table 3). Data showed that CASR gene rs1801725 polymorphism increased the risk of CRC among smokers, and those aged ≥60 years. Due to the positive findings, cross‐over analysis was used to assess the effects of the interaction between genetic factors and smoking or drinking on CRC risk (Table 4). For smokers, however, carrying the TT genotype increased the risk of CRC when compared with non‐smokers carrying GG genotype (TT + smoking vs GG + non‐smoking: OR, 2.87, 95% CI, 1.08‐7.64; P = .043), indicating that the interaction between genetic factors and smoking in CRC. However, no interaction was obtained between genetic factors and drinking.
TABLE 3

Stratified analyses between CASR rs1801725 polymorphism and the risk of colorectal cancer

Variable(case/control)GT vs GGTT vs GGGT + TT vs GGTT vs GG + GT
GGGTTT
Sex
Male70/81231/25815/111.04 (0.72‐1.49); 0.8531.58 (0.68‐3.66); 0.2981.06 (0.74‐1.52); 0.7821.54 (0.70‐3.40); 0.321
Female55/4753/8512/60.60 (0.36‐1.02); 0.0641.71 (0.60‐4.91); 0.4410.69 (0.41‐1.14); 0.1572.26 (0.82‐6.23); 0.142
Smoking
Yes44/46148/17717/60.87 (0.55‐1.40); 0.633 2.96 (1.08‐8.20); 0.037 0.94 (0.59‐1.50); 0.814 3.29 (1.27‐8.51); 0.017
No81/82136/16610/110.83 (0.57‐1.22); 0.3810.92 (0.37‐2.29); 1.0000.84 (0.57‐1.22); 0.3861.04 (0.43‐2.50); 1.000
Alcohol
Yes54/58113/14118/100.86 (0.55‐1.34); 0.5691.93 (0.82‐4.56); 0.1140.93 (0.60‐1.44); 0.8232.15 (0.96‐4.77); 0.076
No71/70171/2029/70.84 (0.57‐1.23); 0.3741.27 (0.45‐3.59); 0.7930.85 (0.58‐1.25); 0.4321.44 (0.53‐3.94); 0.613
Age (years)
<60109/99164/20614/100.72 (0.51‐1.02); 0.0681.27 (0.54‐3.41); 0.6680.76 (0.53‐1.05); 0.1031.56 (0.68‐3.58); 0.305
≥6016/29120/13713/71.59 (0.82‐3.07); 0.195 3.37 (1.12‐10.14); 0.034 1.67 (0.87‐3.22); 0.1472.27 (0.88‐5.84); 0.105

Bold values are statistically significant (P < .05).

TABLE 4

Genetic (G) and environmental (E) factors 2*4 fork analysis

G a E b CaseControlOR (95% CI); P valueReflecting information
rs1801725
TT vs GGSmoking
++176 2.87 (1.08,7.64); 0.043 G, E combined effect
+10110.92 (0.37,2.29); 1.000G alone effect
+44460.97 (0.58,1.62); 1.000E alone effect
81821.00 (reference)Common control
GT vs GGSmoking
++1481770.85 (0.58,1.23); 0.389G, E combined effect
+1361660.83 (0.57,1.22); 0.381G alone effect
+44460.97 (0.58,1.62); 1.000E alone effect
81821.00 (reference)Common control
TT vs GGDrinking
++18101.78 (0.77,4.11); 0.216G, E combined effect
+971.27 (0.45,3.59); 0.793G alone effect
+54580.92 (0.56,1.51); 0.800E alone effect
71701.00 (reference)Common control
GT vs GGDrinking
++1131410.79 (0.52,1.19); 0.293G, E combined effect
+1712020.84 (0.57,1.23); 0.374G alone effect
+54580.92 (0.56,1.51); 0.800E alone effect
71701.00 (reference)Common control

G (+): CASR gene rs1801725 variants (Heterozygous or homozygous); G (−): wild type.

E(+): smoking/non‐smoking; E (−): non‐smoking/non‐drinking. Bold values are statistically significant (P < 0.05).

Bold values are statistically significant (P < .05).

Stratified analyses between CASR rs1801725 polymorphism and the risk of colorectal cancer Bold values are statistically significant (P < .05). Genetic (G) and environmental (E) factors 2*4 fork analysis G (+): CASR gene rs1801725 variants (Heterozygous or homozygous); G (−): wild type. E(+): smoking/non‐smoking; E (−): non‐smoking/non‐drinking. Bold values are statistically significant (P < 0.05). Bold values are statistically significant (P < .05). And then, we evaluated the link between CASR gene rs1801725 polymorphism and the clinicopathological features of CRC patients (Table 5). We found that CASR gene rs1801725 polymorphism was related with tumor size, TNM stage, and lymph node metastasis in CRC.
TABLE 5

The associations between CASR rs1801725 polymorphism and clinical characteristics of colorectal cancer

CharacteristicsGenotype distributions
GGGTTTGT + TT
Histological grade
MD/WD73/32209/5710/7219/64
OR (95% CI); P‐value1.0 (reference)1.61 (0.97‐2.67); .0790.63 (0.22‐1.79); .4081.50 (0.91‐2.47); .114
Histological grade
PD/WD20/3218/5710/728/64
OR (95% CI); P‐value1.0 (reference)0.51 (0.23‐1.09); .1142.29 (0.75‐6.98); .1670.70 (0.34‐1.43); .360
TNM stage
Ⅲ+Ⅳ/Ⅰ+Ⅱ59/66113/17120/7133/178
OR (95% CI); P‐value1.0 (reference)1.33 (0.86‐2.95); .223 3.20 (1.26‐8.10); .018 0.84 (0.55‐1.27); .455
Tumor size
>5 cm/≤5 cm50/75127/15718/9145/166
OR (95% CI); P‐value1.0 (reference)1.21 (0.79‐1.86);.375 3.00 (1.25‐7.21); .018 1.31 (0.86‐2.00);.208
Lymph node metastasis
Yes/No53/72170/11415/12185/126
OR (95% CI); P‐value1.0 (reference) 2.03 (1.32‐3.10); .001 1.70 (0.74‐3.93); .286 2.00 (1.31‐3.04); .001
Distant metastasis
M1/M020/10552/2325/2257/254
OR (95% CI); P‐value1.0 (reference)1.18 (0.67‐2.07); .6731.19 (0.40‐3.52); .7761.18 (0.67‐2.06); .677

Bold values are statistically significant (P < .05).

Abbreviations: MD, Moderately differentiation; PD, Poorly differentiation; WD, Well differentiation.

The associations between CASR rs1801725 polymorphism and clinical characteristics of colorectal cancer Bold values are statistically significant (P < .05). Abbreviations: MD, Moderately differentiation; PD, Poorly differentiation; WD, Well differentiation.

CASR gene rs1801725 polymorphism with CRC patient prognosis

We made a follow‐up of CRC patients to evaluate the effect of CASR gene rs1801725 polymorphism on the risk of CRC prognosis. CRC patients with the GG genotype carriers showed worse overall survival than those TT genotype carriers (Figure 1).
FIGURE 1

Kaplan‐Meier analysis of the association of rs1801725 polymorphism with CRC survival

Kaplan‐Meier analysis of the association of rs1801725 polymorphism with CRC survival

Meta‐analysis of CASR gene rs1801725 polymorphism with the risk of CRC

In order to overcome the limitations of individual studies and reduce the possibility of false‐positive findings, we conducted meta‐analysis to analyze the role of CASR rs1801725 polymorphism in the risk of developing CRC. The characteristics of the selected studies are presented in Table 6. Six studies were about Caucasians; 1 were about mixed population; and 1 was about Asians. This meta‐analysis consisted of 3 hospital‐based studies and 5 population‐based studies. The Newcastle‐Ottawa Scale (NOS) scores of the included studies ranged from 5 to 7 stars, which proved the high methodological quality of all these studies.
TABLE 6

Characteristics of included studies

Author and yearSOCCountryEthnicityCaseControlHWENOS
GGGTTTGGGTTT
This study 2020HBChinaAsian2841252734312817Y6
Dabiri 2016PBIRANCaucasian1811071521512118Y7
Mahmoudi 2014HBIRANCaucasian2101231730217830Y6
Jenab 2009PBEuropeCaucasian8592762587027218Y7
Dong 2008PBUSAMixed119737127147643033Y6
Basci 2008PBHungaryCaucasian1867517188684Y7
Peters 2004PBUSACaucasian5451481753117916Y6
Speer 2002HBEuropeCaucasian3620081301Y7

Abbreviations: HB, hospital‐based controls; HWE, Hardy‐Weinberg Equilibrium; NOS, Newcastle‐Ottawa Scale; PB, population‐based controls; SOC, source of controls.

Characteristics of included studies Abbreviations: HB, hospital‐based controls; HWE, Hardy‐Weinberg Equilibrium; NOS, Newcastle‐Ottawa Scale; PB, population‐based controls; SOC, source of controls. In the overall analysis, CASR rs1801725 polymorphism increased the risk of CRC in the recessive model (TT vs GT + GG: OR 1.28, 95% CI [1.01‐1.63], P = .041, Figure 2, Table 7). Stratification analysis of different ethnicity proved that rs1801725 polymorphism was not associated with the risk of CRC in Caucasians and other mixed populations (T vs G, Figure 3). No positive results were obtained in stratification analyses by source of control (SOC). We did Egger's and Begg's tests to confirm that no obvious publication bias was found for rs1801725 polymorphism (data not shown).
FIGURE 2

Forest plot shows odds ratio for the associations between rs1801725 polymorphism and CRC risk (TT vs GT + GG)

TABLE 7

Summary of the subgroup analyses in this meta‐analysis

ComparisonCategoryCategoryStudiesOR (95% CI) P‐value P for heterogeneity
T vs GTotal81.06 (0.98,1.14).143.138
Ethnicity

Asian

Caucasian

1

6

1.30 (1.03,1.64)

1.03 (0.93,1.13)

.030

.602

N/A

.172

Mixed11.05 (0.91,1.20).508N/A
SOCHB31.12 (0.95,1.31).168.155
PB51.04 (0.96,1.14).359.153
TT + GT vs GGTotal81.05 (0.96,1.14).290.324
Ethnicity

Asian

Caucasian

1

6

1.27 (0.96,1.67)

1.01 (0.90,1.13)

.095

.874

N/A

.321

Mixed11.06 (0.91,1.24).459N/A
SOCHB31.13 (0.94,1.36).204.308
PB51.03 (0.93,1.13).592.292
TT vs GT + GGTotal8 1.28 (1.01,1.63) .041 .086
Ethnicity

Asian

Caucasian

1

6

2.42 (1.30,4.52)

1.20 (0.89,1.63)

.005

.229

N/A

.205

Mixed11.00 (0.60,1.66).983N/A
SOCHB31.37 (0.90,2.07).144.046
PB51.25 (0.93,1.66).139.191
TT vs GGTotal81.24 (0.98,1.58).075.190
Ethnicity

Asian

Caucasian

1

6

1.92 (1.03,3.59)

1.21 (0.89,1.63)

.042

.229

N/A

.193

Mixed11.01 (0.60,1.69).973N/A
SOCHB31.23 (0.81,1.89).336.156
PB51.25 (0.93,1.67).135.180
GT vs GGTotal81.03 (0.94,1.13).531.525
Ethnicity

Asian

Caucasian

1

6

1.18 (0.88,1.58)

0.99 (0.88,1.11)

.269

.851

N/A

.456

Mixed11.06 (0.91,1.25).444N/A
SOCHB31.11 (0.91,1.35).297.482
PB51.01 (0.91,1.12).863.415

Bold values are statistically significant (P < .05).

Abbreviations: HB, hospital‐based controls; PB, population‐based controls; SOC, source of controls.

FIGURE 3

Stratification analysis by ethnicity shows odds ratio for the association between rs1801725 polymorphism and CRC risk (T vs G)

Forest plot shows odds ratio for the associations between rs1801725 polymorphism and CRC risk (TT vs GT + GG) Summary of the subgroup analyses in this meta‐analysis Asian Caucasian 1 6 1.30 (1.03,1.64) 1.03 (0.93,1.13) .030 .602 N/A .172 Asian Caucasian 1 6 1.27 (0.96,1.67) 1.01 (0.90,1.13) .095 .874 N/A .321 Asian Caucasian 1 6 2.42 (1.30,4.52) 1.20 (0.89,1.63) .005 .229 N/A .205 Asian Caucasian 1 6 1.92 (1.03,3.59) 1.21 (0.89,1.63) .042 .229 N/A .193 Asian Caucasian 1 6 1.18 (0.88,1.58) 0.99 (0.88,1.11) .269 .851 N/A .456 Bold values are statistically significant (P < .05). Abbreviations: HB, hospital‐based controls; PB, population‐based controls; SOC, source of controls. Stratification analysis by ethnicity shows odds ratio for the association between rs1801725 polymorphism and CRC risk (T vs G)

DISCUSSION

In this study, we found that CASR gene rs1801725 polymorphism was associated with increased risk of CRC in a Chinese Han population. Subgroup analysis observed that CASR gene rs1801725 polymorphism increased the risk of CRC among smokers, and those aged ≥60 years. We also found that this polymorphism was associated with the tumor size, TNM stage, and lymph node metastasis of CRC. In addition, CASR gene rs1801725 polymorphism correlated with the survival of CRC patients. Further meta‐analysis also obtained a significant association between this SNP and CRC risk. Subgroup analyses by ethnicity observed a link between rs1801725 polymorphism and CRC risk in Asians, but not in Caucasians and mixed populations. Some studies have indicated that diet is one of the major risk factors of CRC. High calcium intake is significantly associated with the risk of CRC. , , These studies provide support for inverse associations between intakes of calcium and dairy foods and the risk of CRC. Calcium could prevent suppresses dysplasia and protect the colon from malignant transformation. , CASR is reported to be a potential mediator for these above function. CASR is an important part of the calcium‐mediated pathway of calcium's anti‐cancer effect on the development of CRC. The expression of CASR is higher in normal colorectal epithelial cells, but it is lower in well‐differentiated colon cancer tissues. , To date, several studies , , , , , , have investigated the association between the CASR gene rs1801725 polymorphism and the risk of CRC. However, these studies reached no consistency. Speer et al first reported that there is no association between rs1801725 gene polymorphism and rectal cancer. However, they proved an association between rs1801725 gene polymorphism and more advanced rectal tumors. Several subsequent studies also failed to demonstrate an association between rs1801725 polymorphism and CRC risk. , , , , However, a study from Hungary involving in 278 cases and 260 controls showed that rs1801725 polymorphism was a risky factor for CRC. In this study, we found that CASR rs1801725 polymorphism increased the risk of CRC in a Chinese population. We assumed that CASR rs1801725 polymorphism causing decreased sensing of extracellular calcium might contribute to the development of CRC. The reasons why their conclusions about this SNP and CRC risk were contradictory, but may be partly explained by diversity inheritance of different ethnicities. Additionally, data indicated that CASR rs1801725 polymorphism was related to the tumor size, TNM stage, and lymph node metastasis of CRC. Besides, CASR gene rs1801725 polymorphism was associated with the survival of CRC patients. To the best of our knowledge, this is the first study to observe an association between this SNP and CRC risk in Chinese Han population. Due to the abovementioned inconsistent findings, we reviewed all eligible studies and conducted a meta‐analysis. The results of this meta‐analysis proved the association of CASR rs1801725 polymorphism with higher risk of CRC. We also conducted stratification analyses of ethnicity and SOC. Stratification analyses by ethnicity revealed that CASR rs1801725 polymorphism was associated with higher risk of CRC among Asians, but not among Caucasians. These discrepancies may attribute to a difference in allele frequency of the CASR rs1801725 polymorphism among these groups. For Asians, the C allele frequency was 0.203, which was higher than in Caucasians (0.152). We hypothesized that the potential reasons for different findings between Asians and Caucasians might due to genetic heterogeneity, clinical heterogeneity, different methods of genotyping and also random errors. No significant association was observed in the subgroup analysis of SOC. We believe the data of this meta‐analysis was robust. Firstly, we did this meta‐analysis with larger sample size. Second, sensitivity analysis indicated that our data about rs1801725 polymorphism were reliable and high quality. This study had potential limitations. First, due to limited data, we were not able to investigate the association between CRC and other potential risk factors. Second, our results were based on unadjusted estimates for confounding factors, which is inevitable but might affect final results. Third, due to the lack of relevant data, we are unable to assess the potential interaction between genes and the genetic environment. Fourth, the sample size of this study and meta‐analysis was limited. Fifth, Other functional SNPs of CASR gene should be explored. Sixth, whether CASR gene polymorphism affects the expression of CASR gene and protein should also be investigated. In spite of these limitations, our study is the first study to reveal a significant association between CASR gene polymorphism and CRC risk in Chinese population. Our study protocol was well designed and gained importance to raise the awareness of CASR gene polymorphism on CRC risk. In conclusion, this study found that CASR gene rs1801725 polymorphism was associated with the risk and prognosis of CRC. Future studies are needed to validate whether CASR gene rs1801725 contributes to CRC susceptibility in other ethnic groups.

AUTHOR CONTRIBUTION

Yu‐E Diao and Qing Xu conceived of the study, participated in its design. Yu‐E Diao and Qing Xu conducted the systematic literature review. Qing Xu performed data analyses. Yu‐E Diao and Qing Xu drafted the manuscript. All gave final approval and agree to be accountable for all aspects of work ensuring integrity and accuracy.
  36 in total

1.  Association of genetic variants in the calcium-sensing receptor with risk of colorectal adenoma.

Authors:  Ulrike Peters; Nilanjan Chatterjee; Meredith Yeager; Stephen J Chanock; Robert E Schoen; Katherine A McGlynn; Timothy R Church; Joel L Weissfeld; Arthur Schatzkin; Richard B Hayes
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-12       Impact factor: 4.254

Review 2.  Colorectal cancer.

Authors:  Evelien Dekker; Pieter J Tanis; Jasper L A Vleugels; Pashtoon M Kasi; Michael B Wallace
Journal:  Lancet       Date:  2019-10-19       Impact factor: 79.321

3.  Calcium-sensing receptor A986S polymorphism in human rectal cancer.

Authors:  G Speer; K Cseh; K Mucsi; I Takács; O Dworak; G Winkler; R Szödy; A Tislér; P Lakatos
Journal:  Int J Colorectal Dis       Date:  2002-01       Impact factor: 2.571

4.  Vitamin D receptor and calcium sensing receptor polymorphisms and the risk of colorectal cancer in European populations.

Authors:  Mazda Jenab; James McKay; Hendrik B Bueno-de-Mesquita; Franzel J B van Duijnhoven; Pietro Ferrari; Nadia Slimani; Eugène H J M Jansen; Tobias Pischon; Sabina Rinaldi; Anne Tjønneland; Anja Olsen; Kim Overvad; Marie-Christine Boutron-Ruault; Françoise Clavel-Chapelon; Pierre Engel; Rudolf Kaaks; Jakob Linseisen; Heiner Boeing; Eva Fisher; Antonia Trichopoulou; Vardis Dilis; Erifili Oustoglou; Franco Berrino; Paolo Vineis; Amalia Mattiello; Giovanna Masala; Rosario Tumino; Alina Vrieling; Carla H van Gils; Petra H Peeters; Magritt Brustad; Eiliv Lund; María-Dolores Chirlaque; Aurelio Barricarte; Laudina Rodríguez Suárez; Esther Molina; Miren Dorronsoro; Núria Sala; Göran Hallmans; Richard Palmqvist; Andrew Roddam; Timothy J Key; Kay-Tee Khaw; Sheila Bingham; Paolo Boffetta; Philippe Autier; Graham Byrnes; Teresa Norat; Elio Riboli
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-08-25       Impact factor: 4.254

5.  Calcium and dairy food intakes are inversely associated with colorectal cancer risk in the Cohort of Swedish Men.

Authors:  Susanna C Larsson; Leif Bergkvist; Jörgen Rutegård; Edward Giovannucci; Alicja Wolk
Journal:  Am J Clin Nutr       Date:  2006-03       Impact factor: 7.045

Review 6.  Calcium, calcium-sensing receptor and colon cancer.

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