Literature DB >> 34106605

Association of ERBB4 genetic polymorphism with the risk and prognosis of non-small cell lung cancer in Chinese Han population: A population-based case-control study.

Wan-Ping Wang1, Hai-Bo Bian, Xia-Zhen Wang, Liang Liu, Ding Wei.   

Abstract

ABSTRACT: The aim of this study was to explore the association of rs1836724 single-nucleotide polymorphism (SNP) of ERBB4 with risk and prognosis of non-small cell lung cancer (NSCLC) in the Chinese Han population.The genotype of rs1836724 SNP of ERBB4 from 258 patients with NSCLC and 200 noncancer controls were detected the TaqMan-MGB probes real-time fluorescence polymerase chain reaction. The distribution of genotype and alleles between the 2 groups was compared, and the association between clinicopathological characteristic and rs1836724 SNP was analyzed. Prognosis and influencing factors were analyzed by Kaplan-Meier and Cox regression analysis.There were significant differences in the genotype and allele distribution of ERBB4 rs1836724 between the NSCLC group and control group (P < .05). And CC genotype of rs1836724 was associated with increased risk of NSCLC in the Chinese Han population. Rs1836724 SNP was associated with TNM stage and lymph nodal metastasis (P = .001, P = .007). The median follow-up was 29 months, and the progression-free survival and overall survival of 258 NSCLC patients were 27.91% and 31.39%, respectively. Patients with GG genotype of rs1836724 had poor progression-free survival and overall survival. Rs1836724 SNP was an independent prognostic marker of NSCLC patients, CC genotype had a high risk of poor prognosis (odds ratio = 1.587, 95% confidence interval: 1.079-2.335, P = .019).In Chinese Han populations, rs1836724 SNP of ERBB4 may contribute toward the increased risk and poor prognosis of NSCLC.
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

Entities:  

Year:  2021        PMID: 34106605      PMCID: PMC8133196          DOI: 10.1097/MD.0000000000025762

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


Introduction

Lung cancer is the leading cause of cancer-related morbidity and mortality in the worldwide for both men and women.[ It was reported that the number of new lung cancer was 2.1 million and 1.8 million deaths predicted in 2018.[ Non-small cell lung cancer (NSCLC) is the main histopathologic type of lung cancer, accounting for 80% of all lung cancer cases.[ There are no obvious clinical manifestations in the early stage of NSCLC, and metastasis has already occurred in most NSCLC patients when they were diagnosed. Despite therapeutic progress, NSCLC patients remain have a poor prognosis, and the 5-year survival rate is only approximately 20%.[ So it is of utmost importance to identify a novel marker of the early diagnosis and prognosis for patients with NSCLC. ERBB4 is one of the member of epidermal growth factor receptor subfamily, which has been found to be closely related to the growth, development of cells, and play important roles in the occurrence and development of various tumors.[ And ERBB4 is emerging as an increasingly important player in the genesis and progression of human cancers. ERBB4 is abnormally expressed in various human cancers, which may strongly link to the growth and survival of cancers, such as breast cancer, lung cancer, ovary cancer, and colon cancer.[ The previous studies found that ERBB4 increases the proliferation potential of lung cancer cells,[ and serum ERBB4 mRNA expression was associated with distant metastasis and TNM stages, as one of the predictive factor for metastasis and poor overall survival of lung adenocarcinoma patients.[ And it was reported that ERBB4 polymorphism might contribute to increased risk of various human cancers, such as colorectal and breast cancers,[ hepatocellular carcinoma,[ and esophageal squamous cell carcinoma.[ However, rarely studies have examined the significance of ERBB4 polymorphism on the risk and prognosis of NSCLC. The present study was aimed to explore the correlation of the single-nucleotide polymorphism (SNP) of ERBB4, rs1836724, which might be the potential target sequence of miRNA, with the risk and prognosis of NSCLC in the Han Chinese population.

Materials and methods

Subjects

According to the reference to obtain the expected relative risk and minor allele frequency, the sample size was calculated with the calculation formula in the 〈Medical statistics〉.[ A total of 258 patients who diagnosed as NSCLC at Changzhi People's Hospital from January, 2015 to December 2017 were collected as the NSCLC group, including 173 males and 85 females. Including criteria were: underwent surgical resection, and treated with routine chemotherapy after the operation; did not receive chemotherapy or radiotherapy before surgical resection; unrelated Han Chinese; w0ithout previous malignant disease or other primary tumor. All patients had complete clinical information and postoperative pathological reports including the pathological types, TNM stages, and the degrees of tumor differentiation. The pathological types and TNM stages were determined based on classification and pathology of lung cancer.[ A total of 258 NSCLC patients were followed up every 2 months in the first year after surgery and every 3 to 6 months thereafter by routine examination of outpatient or phone calls. Recurrence and survival status were recorded by regular rechecks and end point of follow-up was defined as January 2020. Two hundred noncancer and unrelated controls, consisting of 120 males and 80 females who underwent physical examination, were randomly selected as control group, during the same period. The basic information on the age, sex, smoking history, or family history of all participants was obtained from hospital records. All participants signed the informed consent and the present study was approved by the ethics committee of People's Hospital of Changzhi.

SNP genotyping

Peripheral venous blood samples from each participant were collected to analyze genotyping. Genomic DNA was extracted from peripheral venous blood using Takara blood genome DNA extraction Kit in accordance with the manufacturer's protocol. The specific primer and TaqMan MGB double fluorescent probes that countered rs1836724 SNP were designed and synthesized by ABI company. Genomic DNA as the template and sterilized water as negative control, SNP genotypes of rs1836724 were detected on Applied Biosystems 7500 sequence Detection System (ABI, USA) by real-time fluorescence polymerase chain reaction. And the genotype was validated by gene sequencing methods.

Statistical analysis

SPSS19.0 software (SPSS Inc, Chicago, IL) was used to analyze the data. The characteristics and genotype frequencies between NSCLC group and control group were compared using χ2 or independent t test. χ2 value was calculated to examine the Hardy-Weinberg equilibrium. The correlation between genotype and characteristics of NSCLC patients was analyzed by χ2 test. Survival curves were estimated with Kaplan-Meier method and compared with the log-rank test. Cox regression analysis was performed to analyze the potential prognostic factors for NSCLC patients. P < .05 was considered significant difference.

Results

Characteristics between patients with NSCLC and controls

The characteristics of the patients with NSCLC and normal controls were displayed in Table 1. There was no significant difference in age, BMI, and sex between NSCLC group and control group, whereas the smoking and family history of NSCLC was significantly higher in the NSCLC group than that in the control group (P < .05).
Table 1

Characteristics between NSCLC group and control group.

NSCLC group (n = 258)Control group (n = 200)χ2/tP
Age, y (x¯±s)56.38 ± 8.3955.15 ± 8.941.518.130
BMI, kg/m2 (x¯±s)23.12 ± 1.3023.35 ± 1.451.504.133
Sex (male/female)174/84120/802.714.099
Smoking, n (%)140 (54.3)88 (44.0)4.747.029
Family history, n (%)72 (27.9)36 (18.0)6.136.013

BMI = body mass index, NSCLC = non-small cell lung cancer.

Characteristics between NSCLC group and control group. BMI = body mass index, NSCLC = non-small cell lung cancer.

Association of ERBB4 SNP with risk of NSCLC

The distributions of genotype and alleles of rs1836724 of ERBB4 in NSCLC group and control group were shown in Table 2. The genotype frequencies in the controls were both in agreement with the Hardy-Weinberg equilibrium (P > .05). The genotype frequency of CC in NSCLC patients was higher than that in control group (P < .05). And Logistic regression analysis revealed that CC genotype of rs1836724 was correlated with a significant increased risk of NSCLC after adjustment of general data, and C allele of rs1836724 had a higher risk of NSCLC, respectively. The results indicated that the rs1836724 of ERBB4 was potentially contributed to the increased risk of NSCLC in the Chinese Han population.
Table 2

Distribution of genotypes and alleles of rs1836724 of ERBB4 in NSCLC group and control group, n (%).

NSCLC group (n = 258)Control group (n = 200)POR (95% CI)P
GenotypeTT94 (36.43)78 (39.00).0141
TC100 (38.76)94 (47.00)0.883 (0.585–1.332).553
CC64 (24.81)28 (14.00)1.897 (1.110–3.242).019
AllelesT288 (55.81)250 (62.50).0411
C228 (44.19)150 (37.50)1.274 (1.105–1.831).045

CI = confidence interval, NSCLC = non-small cell lung cancer, OR = odds ratio.

Distribution of genotypes and alleles of rs1836724 of ERBB4 in NSCLC group and control group, n (%). CI = confidence interval, NSCLC = non-small cell lung cancer, OR = odds ratio.

Association of ERBB4 SNP with clinicopathological characteristics in NSCLC patients

The distribution of demographic factors and clinicopathological characteristics in different genotype of rs1836724 in NSCLC patients were presented in Table 3. There was a significant association between rs1836724 SNP and TNM stage, lymph nodal metastasis (P = .001 and P = .007, respectively), whereas there was no significant correlation between rs1836724 SNP and demographic factors.
Table 3

Association between rs1836724 of ERBB4 and clinicopathological characteristic in NSCLC patients.

IndexTT (94)TC (100)CC (64)P
Age, y.575
 <60596845
 ≥60353219
BMI, kg/m2.429
 <23273624
 ≥23676440
Sex.268
 Male676938
 Female273126
Smoking.728
 Yes545333
 No404731
Family history.290
 Yes283113
 No668654
Pathological type.371
 Adenocarcinoma414635
 Squamous535429
TNM stage.001
 I + II556825
III + IV393239
Tumor size, cm.247
 ≤3535829
 >3414235
Lymph node metastasis.007
 Yes353437
 No596627

BMI = body mass index, NSCLC = non-small cell lung cancer.

Association between rs1836724 of ERBB4 and clinicopathological characteristic in NSCLC patients. BMI = body mass index, NSCLC = non-small cell lung cancer.

The effect of ERBB4 SNP on prognosis of NSCLC

A total of 258 NSCLC patients were followed up for 11 to 60 months, and the median follow-up was 29 months. Kaplan-Meier survival curves and log-rank test of progression-free survival (PFS) and overall survival (OS) were used to examine the effect of rs1836724 of ERBB4 on prognosis of NSCLC patients. The rates of PFS and OS were 27.91% (72/258) and 31.39% (81/258), respectively. As shown in Figure 1, the Kaplan-Meier survival curves displayed that patients with GG genotype of rs1836724 had poor PFS and OS, compared with CC genotype carriers(all P < .05).
Figure 1

Kaplan-Meier curves of PFS and OS in non-small cell lung cancer patient with respect to rs1836724 of ERBB4. OS = overall survival, PFS = progression-free survival.

Kaplan-Meier curves of PFS and OS in non-small cell lung cancer patient with respect to rs1836724 of ERBB4. OS = overall survival, PFS = progression-free survival. To test whether the rs1836724 was an independent prognostic marker for the prognosis of the NSCLC patients, the univariate and multivariate Cox regression model was used to identify markers that predict the prognosis of NSCLC. As shown in Table 4, univariate Cox regression indicated that high TNM stage, and CC genotype of rs1836724 had a higher risk of recurrence and death, which was associated with poor prognosis.
Table 4

Univariate Cox regression analysis in NSCLC patients.

PFSOS
OR (95% CI)POR (95% CI)P
Age, y<60
≥601.018 (0.750–1.381).9091.068 (0.779–1.464).682
BMI, kg/m2<23
≥231.244 (0.923–1.677).1521.331 (0.983–1.803).064
SexMale
Female1.088 (0.798–1.484).5931.093 (0.795–1.503).583
SmokingYes
No0.917 (0.686–1.224).5551.089 (0.810–1.465).571
Family historyYes
No0.723 (0.518–1.008).0560.757 (0.539–1.062).107
Pathological typeAdenocarcinoma
Squamous1.067 (0.800–1.423).6601.066 (0.793–1.432).674
TNM stageI + II
III + IV1.485 (1.113–1.982).0071.550 (1.154–2.083).004
Tumor size, cm≤3
>31.020 (0.764–1.361).8951.036 (0.771–1.392).814
Lymph node metastasisNo
Yes1.217 (0.910–1.627).1851.274 (0.947–1.714).110
rs1836724TT.035.034
TC1.251 (0.894–1.751).1461.012 (0.828–1.238).904
CC1.637 (1.128–2.376).0101.280 (1.023–1.603).031

BMI = body mass index, CI = confidence interval, NSCLC = non-small cell lung cancer, OR = odds ratio; OS = overall survival; PFS = progression-free survival.

Univariate Cox regression analysis in NSCLC patients. BMI = body mass index, CI = confidence interval, NSCLC = non-small cell lung cancer, OR = odds ratio; OS = overall survival; PFS = progression-free survival. Furthermore, multivariate Cox regression (forward: condition) adjusted for statistically significant prognostic markers was performed to control the impact of TNM stage, analyzing whether rs1836724 was still associated with the prognosis (Table 5). The results showed that the risk of recurrence in patients with CC was 1.587-fold, higher than TT carriers (95% confidence interval 1.083–2.288; P = .017), and the risk of death for the CT and CC genotype were higher than that for TT genotype. The result indicated that rs1836724 SNP was an independent prognostic marker for NSCLC patients, and patients with CC genotype had a higher risk of poor prognosis. In addition, TNM stage also was an independent prognostic marker for NSCLC patients.
Table 5

Conditional multivariate Cox regression analysis in NSCLC patients.

PFSOS
OR (95% CI)POR (95% CI)P
TNM stageI + II
III + IV1.504 (1.113–2.032).008.003
rs1836724TT.042.034
TC1.373 (0.974–1.937).0711.455 (1.023–2.068).037
CC1.574 (1.083–2.288).0171.587 (1.079–2.335).019

CI = confidence interval, NSCLC = non-small cell lung cancer, OR = odds ratio; OS = overall survival; PFS = progression-free survival.

Conditional multivariate Cox regression analysis in NSCLC patients. CI = confidence interval, NSCLC = non-small cell lung cancer, OR = odds ratio; OS = overall survival; PFS = progression-free survival.

Discussion

The epidermal growth factor receptors (EGFRs) tyrosine kinase, especially EGFR and ERBB2, are over-expressed or somatically mutated in many cancers, such as breast cancer, ovarian cancer, and lung cancer.[ ERBB4, as a member of EGFR tyrosine kinase subfamily, its expression, and mutations are also involved in the genesis and progression of many human cancers. For example, Donoghue et al[ found that increased ERBB4 activation was associated with increased proliferation, angiogenesis, tumorigenicity, which might be a potential prognostic and therapeutic target in glioblastoma. Kim et al[ indicated that increased expression of ERBB4 was associated with poor prognosis of breast cancer, and ERBB4 expression was identified as an indicator of long-term prognosis in patients with triple negative breast cancer. Some researches found that multiple SNPs of the ERBB4 were associated with the diseases including cancers. Kurppa et al[ found that the promoter polymorphism of ERBB4 were associated with the risk of poor distant disease-free survival of breast cancer. Yu et al[ suggested that rs6147150 of ERBB4 might be involved in the pathogenesis of hepatocellular carcinoma, and Gao et al[ also verified that rs6147150 would potentially be a novel biomarker for colorectal cancer susceptibility. The presence of activating driver mutations of ERBB4 has been demonstrated in in adenocarcinoma of NSCLC, which provided an evidence for the oncogenic role of ERBB4 in lung cancer. However, it was not clear about the association between ERBB4 polymorphism and increased risk or poor prognosis of NSCLC. In the present study, the SNP of ERBB4, rs1836724 was detected to analyze the association between the polymorphism of ERBB4 and NSCLC. The results found that NSCLC patients had higher frequencies of CC genotype of rs1836724 than normal controls, suggesting rs1836724 of ERBB4 contributed to the increased risk of NSCLC. Although there was correlation between TNM stage and lymph nodal metastasis, rs1836724 SNP was associated with TNM stage and lymph nodal metastasis, respectively, in patients with NSCLC. Kaplan-Meier survival curves and log-rank test indicated that NSCLC patients with CC genotype of rs1836724 had poor PFS and OS, than TT genotype. And multivariate Cox regression revealed CC genotype of rs1836724 was an independent risk factor for prognosis of NSCLC. In the existing studies, it was verified that rs1836724 polymorphism was associated with the risk and prognosis of other cancers. For example, Bagheri et al[ demonstrated that rs1836724 polymorphism in 3’-UTR of ERBB4 was associated with the risk of breast cancer. Wei et al[ indicated the ERBB4 rs1836724 polymorphism, which impacted the miRNA binding sites, was associated with the overall survival of ovarian cancer. To the best of our knowledge, this is the first study to demonstrate the association between rs1836724 of ERBB4 and risk, prognosis of NSCLC, which provide a new direction for the prevention, treatment, and prognosis of NSCLC. However, there are still some limitations to be considered, including the small sample size which might lead to the deviation of results. A large population size in Han or other ethnic populations should be validated in follow-up studies to determine the significance of ERBB4 in NSCLC. And many NSCLC patients, who only received chemotherapy or received chemotherapy before surgical surgical resection, were ruled out. To better verify the association of ERBB4 SNP with the risk of NSCLC, all primary NSCLC patients should be collected to analyze. Second, the exact molecular mechanism of the effect of rs1836724 of ERBB4 on the risk, prognosis of NSCLC still need to be revealed in the further studies. In addition, There were many marginally significant results (P value between .01 and .05), which might affect the credibility of the results. So the correlation between ERBB4 and risk or prognosis of NSCLC should be correlation for multiple testing in a large population in the further study. In conclusion, SNP of ERBB4, rs1836724, may contribute to the increased risk and poor prognosis of NSCLC in the Chinese Han population.

Author contributions

Conceptualization: Wan-ping Wang. Data curation: Xia-zhen Wang, Ding Wei. Investigation: Hai-bo Bian. Validation: Liang Liu. Writing – original draft: Wan-ping Wang. Writing – review & editing: Hai-bo Bian, Xia-zhen Wang, Liang Liu, Ding Wei.
  24 in total

1.  miR-193a-3p functions as a tumor suppressor in lung cancer by down-regulating ERBB4.

Authors:  Hongwei Liang; Minghui Liu; Xin Yan; Yong Zhou; Wengong Wang; Xueliang Wang; Zheng Fu; Nan Wang; Suyang Zhang; Yanbo Wang; Ke Zen; Chen-Yu Zhang; Dongxia Hou; Jing Li; Xi Chen
Journal:  J Biol Chem       Date:  2014-11-12       Impact factor: 5.157

2.  Downregulation of miroRNA-141 mediates acquired resistance to trastuzumab and is associated with poor outcome in breast cancer by upregulating the expression of ERBB4.

Authors:  Guodong Han; Ni Qiu; Kai Luo; Hongling Liang; Hongsheng Li
Journal:  J Cell Biochem       Date:  2019-02-11       Impact factor: 4.429

3.  Survival improvement in patients with non-small cell lung cancer between 1983 and 2012: Analysis of the Surveillance, Epidemiology, and End Results database.

Authors:  Shuncong Wang; Tiantian Sun; Huanhuan Sun; Xiaobo Li; Jie Li; Xiaobin Zheng; Saradhi Mallampati; Hongliu Sun; Xiuling Zhou; Cuiling Zhou; Hongyu Zhang; Zhibin Cheng; Haiqing Ma
Journal:  Tumour Biol       Date:  2017-05

4.  ERBB4 is over-expressed in human colon cancer and enhances cellular transformation.

Authors:  Christopher S Williams; Jessica K Bernard; Michelle Demory Beckler; Dana Almohazey; Mary Kay Washington; Jesse J Smith; Mark R Frey
Journal:  Carcinogenesis       Date:  2015-04-27       Impact factor: 4.944

Review 5.  Non-Small Cell Lung Cancer: Epidemiology, Screening, Diagnosis, and Treatment.

Authors:  Narjust Duma; Rafael Santana-Davila; Julian R Molina
Journal:  Mayo Clin Proc       Date:  2019-08       Impact factor: 7.616

6.  Prognostic significance of serum ERBB3 and ERBB4 mRNA in lung adenocarcinoma patients.

Authors:  Mirza Masroor; Jamsheed Javid; Rashid Mir; Prasant Y; Imtiyaz A; Mariyam Z; Anant Mohan; P C Ray; Alpana Saxena
Journal:  Tumour Biol       Date:  2015-08-09

Review 7.  Classification and Pathology of Lung Cancer.

Authors:  Min Zheng
Journal:  Surg Oncol Clin N Am       Date:  2016-07       Impact factor: 3.495

8.  Tumor-promoting function of single nucleotide polymorphism rs1836724 (C3388T) alters multiple potential legitimate microRNA binding sites at the 3'-untranslated region of ErbB4 in breast cancer.

Authors:  Fatemeh Bagheri; Hamzeh Mesrian Tanha; Marjan Mojtabavi Naeini; Kamran Ghaedi; Mansoureh Azadeh
Journal:  Mol Med Rep       Date:  2016-03-31       Impact factor: 2.952

9.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

10.  Prognostic value of ERBB4 expression in patients with triple negative breast cancer.

Authors:  Ji-Yeon Kim; Hae Hyun Jung; In-Gu Do; SooYoun Bae; Se Kyung Lee; Seok Won Kim; Jeong Eon Lee; Seok Jin Nam; Jin Seok Ahn; Yeon Hee Park; Young-Hyuck Im
Journal:  BMC Cancer       Date:  2016-02-22       Impact factor: 4.430

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.