Literature DB >> 30275757

Significant association of long non-coding RNAs HOTAIR genetic polymorphisms with cancer recurrence and patient survival in patients with uterine cervical cancer.

Shun-Long Weng1,2,3, Wen-Jun Wu4,5, Yi-Hsuan Hsiao6,7, Shun-Fa Yang4,5, Chun-Fang Hsu4, Po-Hui Wang4,6,8.   

Abstract

Up to date, no study explores the relationship of single nucleotide polymorphisms (SNPs) of long non-coding RNAs HOTAIR (lncRNAs HOTAIR) with cancer recurrence and patient survival in uterine cervical cancer for Taiwanese women. We therefore designed this study to investigate the clinical roles of lncRNAs HOTAIR SNPs in cervical cancer. One hundred and sixteen patients with cervical invasive cancer and 96 patients with preinvasive lesions as well as 318 control women were consecutively recruited. LncRNAs HOTAIR SNPs rs920778, rs12427129, rs4759314 and rs1899663 were analyzed and their genotypic frequencies were examined by real-time polymerase chain reaction. The results indicated that there were no genotypic differences between patients with cervical neoplasia and normal controls as well as among patients with invasive and invasive cancer, and normal controls. However, genotype GG in lncRNAs HOTAIR SNP rs920778 was demonstrated to be a predictor for poorer cancer recurrence probability [p=0.001, hazard ratio (HR): 7.25, 95% CI: 2.19-23.96]. Furthermore, cervical cancer patients with genotype GG in lncRNAs HOTAIR rs920778 had worse overall survival (p =0.002, HR: 7.22, 95% CI: 2.09-24.92). No significant associations exhibited between lncRNAs HOTAIR SNP rs920778 and clinicopathological parameters. In conclusion, this studied lncRNAs HOTAIR SNPs are not associated with cervical carcinongensis. However, lncRNAs HOTAIR SNP rs920778 may be regarded as an independent predictor of cancer recurrence probability and overall survival in cervical cancer patients.

Entities:  

Keywords:  long non-coding RNAs HOTAIR; overall survival; recurrence-free survival; single nucleotide polymorphism; uterine cervical cancer

Mesh:

Substances:

Year:  2018        PMID: 30275757      PMCID: PMC6158665          DOI: 10.7150/ijms.27505

Source DB:  PubMed          Journal:  Int J Med Sci        ISSN: 1449-1907            Impact factor:   3.738


Introduction

Uterine cervical cancer was the fifth common type of cancer and most common type of gynecological cancer if carcinoma in situ was included according to Taiwan 2013 cancer registry annual report. Its mortality was the tenth in Taiwanese cancers. Cytologic diagnoses of cervical lesions include low-grade squamous intraepithelial lesions (LSILs) which are compatible with cervical intraepithelial neoplasia 1 (CIN1, low-grade CIN) or mild dysplasia histologically, as well as high-grade squamous intraepithelial lesions (HSILs), which are histolocially diagnosed as CIN 2 and CIN3 (high-grade CIN) or moderate dysplasia and severe dysplasia, respectively1. Cervical carcinogenesis is currently considered as a continuum of neoplastic transition from CIN to invasive squamous cell carcinoma and approximate 20-30% of HSILs may develop to invasive cancer 2, 3. Long non-coding RNAs (lncRNAs) are found to be a group of transcribed RNA molecules and they are longer than 200 nucleotides and unable to translate protein obviously 4. They are involved in a variety of biological function, including cell proliferation and differentiation as well as tumorigenesis 5-7. The HOX transcript antisense intergenic RNA (HOTAIR), firstly discovered by Rinn et al., is located on the antisense strand of the HOXC gene cluster on chromosome 12q13.13 and is identified as a 2158 nucleotides lncRNAs with 6 exons 8, 9. These lncRNAs, with regulatory functions of transcription, was implicated in the proximal-distal axis during development. It was firstly reported by Gupta et al. that increased HOTAIR expression was implicated in breast cancer as well as tumor invasiveness and metastasis 10. Moreover, its dysregulation was demonstrated to be related to colon and lung cancers 11, 12 . Single nucleotide polymorphism (SNP) occurs if a single nucleotide in the shared sequence of a gene changes more than 1% in the individuals of a species or paired chromosomes in an individual. Genetic polymorphism are considered to have an influence on the promoter activity and gene expression, and is involved in disease development 13. Genetic polymorphisms of the lncRNAs HOTAIR were known to be significantly related to the susceptibility of some human cancers such as breast cancer and gastric cancer 14, 15. Because no study associates lncRNAs HOTAIR SNPs with patient prognosis in cervical cancer up to date, we conduct this study to investigate the association of lncRNAs HOTAIR SNPs with cervical carcinogenesis and explore its relationships with clinicopathological variables of cervical cancer, cancer recurrence and patient survival.

Materials and Methods

Subjects

We consecutively enrolled 116 patients with invasive cancer and 96 patients with high-grade CIN of uterine cervix as well as 318 normal controls at the Department of Obstetrics and Gynecology in Chung Shan Medical University in Taichung, Taiwan from February 1994 to October 2014. Cervical cancer patients received routine treatment protocols in this hospital. Patients with high-grade CIN were recruited as cervical preinvasive lesions and received abdominal total hysterectomy, vaginal total hysterectomy, large loop excision of transformation zone or simple trachelectomy. The diagnoses of all patients with cervical invasive cancer or preinvasive lesions were further verified based on the pathologic report of cervical punch biopsy under colposcopy before the treatment started. Normal controls received Papanicolaou smears at outpatient department for general examination in Chung Shan Medical University Hospital and the normal cytologic diagnosis was further confirmed under colposcopy. All studied individuals were Taiwanese women who resided in central Taiwan. This study was approved by the institutional review board of Chung Shan Medical University Hospital (CSMUH No: CS14014). Our staffs received informed consents from all subjects.

Selection of lncRNAs HOTAIR single nucleotide polymorphisms and DNA extraction from all subjects

In this study, four lncRNAs HOTAIR SNPs were selected according to International HapMap Project data and the study of Guo et al. 16. Genetic polymorphisms rs920778, rs12427129, rs4759314 and rs1899663 were included. Blood specimens were drawn by the staffs from all participatants with a standard venipuncture technique and deposed into Vacutainer tubes containing ethylenediaminetetraacetic acid. The materials were stored at 4℃ immediately after obtainment. DNA was extracted from peripheral vein blood leukocytes according to manufacturer's protocol as described in detail previously 17. Moreover, we dissolved DNA in pH 7.8 TE buffer and then quantified it by a measurement of OD260. The ratio OD260 /OD280 was also calculated and DNA sample within the range of 1.8-2.0 was considered as pure to avoid the cross reactivity with the homologous RNA present in the sample. The final preparation was stored at -20 °C and was used to act as templates for the PCR.

Single nucleotide polymorphisms (SNPs) by real time-PCR and genotyping

Genotypes of lncRNAs HOTAIR SNPs rs920778, rs12427129, rs4759314 and rs1899663 were determined by ABI StepOne Real-Time PCR System (Applied Biosystems, Foster City, CA, USA), and analyzed with SDS vers. 3.0 software, as described previously 18.

Statistical analysis

ANOVA was used to compare the age difference among patients with invasive cancer and patients with preinvasive lesions of uterine cervix as well as control women and then Bonferroni test was used for post hoc analysis. Hardy-Weinberg equilibrium was applied to check the genotypic frequencies of lncRNAs HOTAIR SNPs rs920778, rs12427129, rs4759314 and rs1899663 in the normal controls (degree of freedom = 2). Chi-square or Fisher's exact tests were used to associate genotypic distributions of lncRNAs HOTAIR SNPs with the incidence of cervical neoplasias (including preinvasive lesions and invasive cancer). The adjusted odds ratios (AORs) with their 95% confidence intervals (CIs) were applied to evaluate the relationships among genotypic frequencies of lncRNAs HOTAIR SNPs and the incidence of cervical neoplasias (including preinvasive lesions and invasive cancer) using the logistic and multinomial logistic regression models after age control. Chi-square or Fisher's exact tests were applied to assess cancer recurrence event and patient death event by lncRNAs HOTAIR SNPs. The risks of cancer recurrence event and patient death event for significant lncRNAs HOTAIR SNP were adjusted by various clinicopathological parameters, such as clinical stage (I or ≥ II), histopathologic types inluding squamous cell carcinoma or adenocarcinoma, cell grading (well, or moderate and poor differentiation), invasion depth of cervical stroma (≤10 mm or >10 mm of stromal invasion depth), tumor diameter (≤4 or >4 cm), parametrium and vaginal invasion and pelvic lymph node metastasis, using logistic regression forward stepwise model. In addition, chi-square or Fisher's exact tests were also used to evaluate the relationship of significant lncRNAs HOTAIR SNP with clinicopathological variables. Kaplan-Meier model was used to relate significant lncRNAs HOTAIR SNPs to cancer recurrence free-survival and overall survival of patients with cervical cancer relative to recurrence and survival time or until closing date of the study, December 4, 2017. A Cox proportional hazard model was used to evaluate the effects of significant lncRNAs HOTAIR SNP on the recurrence probability or overall survival after adjusting for various clinicopathological variables in multivariate analysis relative to recurrence or survival time. The SPSS, version 12.0 and WinPepi Software, version 10.0 were used for statistical analysis. P <0.05 was considered as statistically significant difference.

Results

There was significant difference for age distribution between patients with cervical neoplasia and normal control women (50.2 ± 13.8 vs. 43.9 ± 10.1, p<0.001). The age distribution was significantly different between patients with cervical invasive cancer and those with preinvasive lesion (55.4 ± 12.5 vs. 44.0 ± 12.6, p<0.001) as well as between patients with cervical cancer and normal control women (55.4 ± 12.5 vs. 43.9 ± 10.1, p<0.001) but not significantly different between patients with preinvasive lesions and control women (44.0 ± 12.6 vs. 43.9 ± 10.1, p=1.000). The genotypic distribution of lncRNAs HOTAIR SNP rs920778 satisfied Hardy- Weinberg equilibrium in the normal controls [χ2 value: 1.66 < 5.99, p>0.05, degree of freedom (d.f.)=2]. Genotypic frequencies of other lncRNAs HOTAIR SNPs rs12427129, rs4759314 and rs1899663 all conformed to the equilibrium (χ2 value: 0.21, p>0.05, d.f.=2; χ2 value: 1.27, p>0.05, d.f.=2; χ2 value: 1.13, p>0.05, d.f.=2; respectively).

Relationship of lncRNAs genetic polymorphisms distributions with uterine cervical carcinogenesis

The genotypic frequencies of lncRNAs SNPs in the Taiwanese women with cervical neoplasias and normal control women are listed in Table 1. There were no significantly different distributions of lncRNAs SNPs rs920778, rs12427129, rs4759314 and rs1899663 between patients with cervical neoplasias and normal control women. No significant differences were found for these SNPs between patients with cervical neoplasias and normal controls even after controlling for age. Although the cervical neoplasia group was subdivided into subgroups of invasive cancer and preinvasive lesions, we could not demonstrate genotypic differences of these 4 lncRNAs SNPs among patients with cervical invasive cancer and patient with preinvasive lesions as well as normal controls (Table 2). After controlling for age, these conditions still presented.
Table 1

Genotypic distribution of single nucleotide polymorphisms of long non-coding RNAs HOTAIR in patients with uterine cervical neoplasia and normal control women.

VariablesNormal controls (n = 318)Cervical neoplasiaa (n = 212)p valueOR (95% CI)AOR (95% CI)b
rs920778
Co-dominant
AAc1651070.9501.001.00
AG134921.06 (0.74-1.52)1.02 (0.70-1.47)
GG19131.06 (0.50-2.23)0.89 (0.41-1.92)
Dominant
AAc1651070.7491.001.00
AG/GG1531051.06 (0.75-1.50)1.00 (0.70-1.43)
Recessive
AA/AGc2991990.9411.001.00
GG19131.03 (0.50-2.13)0.88 (0.42-1.87)
rs12427129
Co-dominant
CCc2751810.6291.00
CT42291.05 (0.63-1.75)1.12 (0.66-1.89)
TT123.04 (0.27-33.76)3.11 (0.27-36.03)
Dominant
CCc2751810.7201.001.00
CT/TT43131.10 (0.67-1.80)1.17 (0.70-1.95)
Recessive
CC/CTc3172100.5671.001.00
TT123.02 (0.27-33.51)3.06 (0.26-35.44)
rs4759314
Co-dominant
AAc2661710.1241.001.00
AG48411.33 (0.84-2.10)1.34 (0.83-2.15)
GG40u.a.u.a.
Dominant
AAc2661710.3761.001.00
AG/GG52411.23 (0.78-1.93)1.20 (0.75-1.92)
Recessive
AA/AGc3142120.1541.001.00
GG40u.a.u.a.
rs1899663
Co-dominant
GGc2091400.9921.001.00
GT101670.99 (0.68-1.44)0.97 (0.66-1.44)
TT850.93 (0.30-2.91)0.79 (0.25-2.53)
Dominant
GGc2091400.9401.001.00
GT/TT109720.99 (0.68-1.42)0.96 (0.66-1.40)
Recessive
GG/GTc3102070.9091.001.00
TT850.94 (0.30-2.90)0.80 (0.25-2.53)

Statistical analysis: logistic regression model, chi-square or Fisher's exact tests.

aCervical neoplasia included preinvasive lesions and invasive cancer of uterine cervix.

bThe adjusted odds ratios with their 95% confident intervals were calculated by logistic regression after controlling for age.

cRegarded as a reference for comparison to evaluate the odds ratio of other genotypes.

AOR, adjusted odds ratio; 95% CI, 95% confidence interval; u.a., unavailable.

Table 2

Genotypic distribution of single nucleotide polymorphisms of long non-coding RNAs HOTAIR in patients with invasive cancer or patients with preinvasive lesions of uterine cervix and normal control women

VariablesNormal controls (n = 318 )Preinvasive lesions (n = 96 )Invasive cancer (n = 116 )p valueAOR (95% CI)aAOR (95% CI)b
rs920778
Co-dominant
AAc16550570.8581.001.00
AG13442501.03 (0.65-1.65)1.02 (0.63-1.65)
GG19490.69 (0.23-2.14)1.07 (0.43-2.68)
Dominant
AAc16550570.8671.001.00
AG/GG15346590.99 (0.63-1.57)1.03 (0.65-1.64)
Recessive
AA/AGc299921070.5491.001.00
GG19490.68 (0.23-2.06)1.06 (0.43-2.58)
rs12427129
Co-dominant
CCc27585960.6351.001.00
CT4210190.77 (0.37-1.60)1.57 (0.83-3.00)
TT1113.24 (0.20-52.29)3.22 (0.17-60.28)
Dominant
CCc27585960.4511.001.00
CT/TT4311200.83 (0.41-1.68)1.61 (0.86-3.04)
Recessive
CC/CTc317951150.3521.001.00
TT1113.34 (0.21-53.85)3.01 (0.16-56.03)
rs4759314
Co-dominant
AAc26676950.4671.001.00
AG4820211.46 (0.82-2.61)1.21 (0.66-2.24)
GG400u.a.u.a.
Dominant
AAc26676950.5901.001.00
AG/GG5220211.35 (0.76-2.39)1.06 (0.58-1.94)
Recessive
AA/AGc314961160.4811.001.00
GG400u.a.u.a.
rs1899663
Co-dominant
GGc20966740.8481.001.00
GT10129380.91 (0.55-1.45)1.06 (0.65-1.75)
TT8140.40 (0.48-3.22)1.18 (0.32-4.37)
Dominant
GGc20966740.7481.001.00
GT/TT10930420.87 (0.53-1.42)1.08 (0.66-1.74)
Recessive
GG/GTc310951120.6201.001.00
TT8140.41 (0.05-3.30)1.15 (0.31-4.23)

Statistical analysis: multinomial logistic regression or chi-square or Fisher's exact tests.

aThe adjusted odds ratio with its 95% CI was calculated by multinomial logistic regression model after controlling for age between patients with cervical preinvasive lesions and control women.

bThe adjusted odds ratio with its 95% CI was calculated by multinomial logistic regression models after controlling for age between patients with cervical invasive cancer and control women.

cRegarded as a reference for comparison to evaluate the odds ratios of other genotypes.

AOR, adjusted odds ratio; 95% CI, 95% confidence interval; u.a., unavailable.

The prediction of lncRNAs HOTAIR genetic polymorphisms for cancer prognosis events

Genotypic frequency of AA, AG and GG of lncRNAs HOTAIR SNP rs920778 was significantly related to recurrence event (p=0.021) and death event (p=0.03) of patients with uterine cervical cancer. Further analysis revealed that cervical cancer patients with genotype GG had more risk to have recurrence event (OR: 6.37, 95% CI: 0.96-46.20; p=0.028) and death event (OR: 8.67, 95% CI: 1.28-63.57; p=0.012), as compared to those with AA/AG (Table 3). However, there were no associations of lncRNAs HOTAIR SNPs rs12427129, rs4759314 and rs1899663 with cancer recurrence event and patient death event.
Table 3

Impacts of long non-coding RNAs HOTAIR (lncRNAs HOTAIR) genetic polymorphism rs920778 on cancer recurrence event and death event of the patients with uterine cervical cancer

VariablesaRecurrence eventp valueOR & 95% CIc
no recurrencerecurrence
lncRNAs HOTAIR rs9207780.028
AA/AGb86181.00
GG346.37 (0.96-46.20)
Death eventp valueOR & 95% CIb
survivaldeath
lncRNAs HOTAIR rs9207780.012
AA/AGb91141.00
GG348.67 (1.28-63.57)

Statistical analysis: chi-square or Fisher's exact tests

aSome data could not be obtained from the patients with cervical cancer due to incomplete medical charts or records.

bAs a comparison reference

cOR and 95% CI, odds ratio and 95% confidence interval for lncRNAs HOTAIR genetic polymorphism rs920778, compared to its respective control.

Multivariate analysis for the association of significant lncRNAs HOTAIR SNP and clinicopathological parameters with cancer recurrence and patient survival

Cervical cancer patients with genotype GG in lncRNAs HOTAIR rs920778 displayed more of the risk of cancer recurrence event (p=0.049; OR: 1.13, 95% CI: 1.01-37.04; Table 4). Additionally, deep stromal and positive pelvic lymph node metastasis also increased the risk of recurrence event (p=0.006; OR: 4.61, 95% CI: 1.60-16.39 and p=0.021; OR: 3.62, 95% CI: 1.22-10.75, respectively). Considering patient death event, cervical cancer patients with genotype GG in lncRNAs HOTAIR SNP rs920778 displayed more risk to have poorer survival event (logistic regression model; p=0.014; OR: 9.09, 95% CI: 1.57-52.63; Table 4). Moreover, positive pelvic lymph node metastasis (p=0.002; OR: 5.95, 95% CI: 1.88-18.87) was also a predictive factor for patient death event.
Table 4

Multivariate analysis of long non-coding RNAs HOTAIR (lncRNAs HOTAIR) genetic polymorphism rs920778 on cancer recurrence event and death event of the patients with uterine cervical cancer

VariablesaRecurrence eventp valueOR & 95%CIc
no recurrencerecurrence
lncRNAs HOTAIR rs9207780.049
AA/AGb86181.00
GG341.13 (1.01-37.04)
Stromal invasion depth0.006
≤10 mmb5951.00
>10 mm30175.13 (1.60-16.39)
Pelvic lymph node metastasis0.021
negativeb73101.00
positive16123.62 (1.22-10.75)
Death eventp valueOR & 95%CIb
survivaldeath
lncRNAs HOTAIR rs9207780.014
AA/AGb91141.00
GG349.09 (1.57-52.63)
Pelvic lymph node metastasis0.002
negativeb7671.00
positive18115.95 (1.88-18.87)

Statistical analysis: multivariate logistic regression model

aSome data could not be obtained from the patients with cervical cancer due to incomplete medical charts or records.

bAs a comparison reference

cOR and 95% CI, odds ratio and 95% confidence interval for lncRNAs HOTAIR genetic polymorphism rs920778 and clinicopathological variables, compared to its respective control.

The association of significant lncRNAs HOTAIR SNP with clinicopathological variables

No significant associations existed between lncRNAs HOTAIR SNP rs920778 and clinicopathological parameters. However, cervical patients with genotype GG tended to display more risk to have parametrium invasion than those with AA/AG (p=0.064; OR: 4.50, 95% CI: 0.69-33.30; Table 5).
Table 5

Association of genotypic distribution of long non-coding RNAs HOTAIR genetic polymorphism rs920778 with clinicopathological variables of the patients with invasive cancer of uterine cervix

Variablesars920778 recessivep valueOR (95% CI)
GGAA/AGb
Clinical stage0.257
stage Ib3681.00
≥ stage II4372.45 (0.39-17.48)
Pathologic type1.000
squamous cell carcinomab6891.00
adenocarcinoma1161.88 (0.02-8.49)
Cell grading1.000
well (grade 1)b1251.00
moderate & poor (grades 2/3)6800.93 (0.21-89.65)
Invasion depth of cervical stroma0.459
≤10 mmb3611.00
>10 mm4441.85 (0.29-13.18)
Tumor diameterb0.235
≤ 4cm3701.00
>4cm4352.67 (0.42-19.03)
Parametrium0.064
no invasionb3811.00
invasion4244.50 (0.69-33.30)
Vagina0.188
no invasionb4821.00
invasion3222.80 (0.38-17.69)
Pelvic lymph node0.372
no metastasisb4791.00
metastasis3262.28 (0.31-14.33)

Statistical analyses: chi-square or Fisher's exact tests,

aSome clinicopathological data could not be obtained from the patients with cervical cancer due to incomplete medical charts or records.

bAs a reference. OR, odds ratio; 95% CI, 95% confidence interval.

Influence of lncRNAs HOTAIR genetic polymorphism and clinicopathological characteristics on cancer recurrence probability and overall survival of the patients with uterine cervical cancer

When time interval was included for analysis, cervical cancer patients with genotype GG in lncRNAs HOTAIR SNP rs920778 were found to have worse recurrence-free survival, as compared to those with AA/AG based on Kaplan-Meier curve, using univariate analysis [p=0.005, hazard ratio (HR)= 4.34, 95% CI: 1.43-13.11; Figure 1A]. Moreover, patients with GG had worse overall survival than those with AA/AG (5-year survival rate: 42.9 vs. 87.9%, p=0.003, HR= 4.98, 95% CI: 1.57-15.87; Figure 1B).
Figure 1

Kaplan-Meier curves for recurrence-free survival rate according to long non-coding RNAs HOTAIR genetic polymorphism rs920778 (A, genotype GG vs. AA/AG; p=0.005), as well as for overall survival rate according to rs920778 (B, genotype GG vs. AA/AG; p=0.003). Log-rank test was applied for statistical significance.

Genotype GG in lncRNAs HOTAIR SNP rs920778 and deep stromal invasion were demonstrated to be predictors for poorer recurrence probability in multivariate analysis [p=0.001, HR: 7.25, 95% CI: 2.19-23.96 and p<0.001, HR: 8.91, 95% CI: 2.80-28.33, respectively; Table 6]. Furthermore, cervical cancer patients with genotype GG in lncRNAs HOTAIR rs920778 had worse overall survival (p=0.002, HR: 7.22, 95% CI: 2.09-24.92). In addition, deep stromal invasion and positive lymph node metastasis exhibited significant associations with worse overall survival (p=0.026, HR: 4.09, 95% CI: 1.18-14.13 and p=0.027, HR: 3.28, 95% CI: 1.15-9.39, respectively; Table 6).
Table 6

Impacts of long non-coding RNAs HOTAIR (lncRNAs HOTAIR) genetic polymorphism rs920778 and clinicopathological characteristics on cancer recurrence probability and overall survival of the patients with uterine cervical cancer

VariablesaRecurrence probabilityOverall survival
p valueOR & 95%CIcp valueOR & 95%CIc
lncRNAs HOTAIR rs9207780.0010.002
AA/AGb1.001.00
GG7.25 (2.19-23.96)7.22 (2.09-24.92)
Stromal invasion depth<0.0010.026
≤10 mmb1.001.00
>10 mm8.91 (2.80-28.33)4.09 (1.18-14.13)
Pelvic lymph node metastasis>0.050.027
negativeb1.00
positive3.28 (1.15-9.39)

Statistical analysis: multivariate Cox regression model

aSome data could not be obtained from the patients with cervical cancer due to incomplete medical charts or records.

bAs a comparison reference

cOR and 95% CI, odds ratio and 95% confidence interval for lncRNAs HOTAIR genetic polymorphism rs920778 and clinicopathological variables, compared to its respective control.

Discussion

In this study we could not demonstrate different genotypic distributions of 4 lncRNAs HOTAIR SNPs between patients with cervical neoplasia and normal control women in Taiwanese women. Even after subdivision into invasive and preinvasive subgroups from the cervical neoplasia patients and controlling for age, there were no genotypic differences among patients with invasive and patients with preinvasive cancer and normal controls. However, a meta-analysis indicated a significant association between lncRNAs HOTAIR SNP rs920778 and cancer risk 19. Chu et al. reported that lncRNAs HOTAIR SNP rs920778 increases the cancer risk in recessive model 20. Furthermore, it has been revealed that individuals with TT (AA) in HOTAIR rs920778 polymorphism were associated with an increased risk of gastric cancer and esophageal squamous cell carcinoma in China 14, 21. In contrast, genotype CC (GG) in HOTAIR rs920778 polymorphism was demonstrated to increase the risk of breast cancer significantly in a Turkish population 15. Moreover, a similarly elevated risk for SNP rs4759314 was showed in the gastric cancer subjects 19. By contrast, no significant relationship was found between SNP rs1899663 and cancer susceptibility 19. It has been reported a significant correlation of HOTAIR SNP rs920778 with susceptibility to cervical cancer in Chinese people 16. Women carrying allele T (A) have increased susceptibility to cervical cancer than those carrying allele C (G). Although we could not find the involvement of lncRNAs HOTAIR SNPs in cervical carcinogens, a different genotypic distribution of SNP rs920778 was found for the prediction of cervical cancer recurrence and patient death events. It was attributable to the recessive effect of homozygote GG that significantly different genotypic frequency of AA, AG and GG of lncRNAs HOTAIR SNP rs920778 resulted in different recurrence and survival events. No other lncRNAs HOTAIR SNPs could be found to be correlated with patient prognosis in this study. Our study revealed that genotype GG of lncRNAs HOTAIR SNP rs920778 was associated with poorer cancer recurrence and worse patient survival events for uterine cervical cancer in Taiwanese women using multivariate analyses. Because there were no associations of lncRNAs HOTAIR SNP rs920778 with clinicopathological parameters, lncRNAs HOTAIR SNP rs920778 could be regarded as an independent predictor of patient prognosis. Guo et al. reported an association between the SNP rs920778, being in the intronic enhancer of the HOTAIR, and cervical cancer 16. It has been described by Hosseini et al. about the dysregulated lncRNA expression that is classified into intronic based on the nearest protein-coding transcripts 22. Guo et al. further delineated that women carrying allele T (A) have increased expression levels of HOTAIR than those carrying allele C (G). However, they also found that cervical cancer patients with homozygote TT were related to tumor-node-metastasis (TNM) stage significantly. To our knowledge, this study is the first to investigate the relationship of lncRNAs HOTAIR SNP with cancer recurrence and patient survival in cervical cancer in Taiwanese women. When time interval was considered, we found that patients with genotype GG of lncRNAs HOTAIR SNP rs920778 had worse recurrence-free survival and worse overall survival in univariate analysis based on unviariate Kaplain-Meier model. Moreover, patients with genotype GG of SNP rs920778 had poorer recurrence probability and worse overall survival based on multiviariate Cox proportional hazard model. Our findings are reasonable based on previous report that SNP rs920778 was in the intronic enhancer of the lncRNAs HOTAIR and could affect the expression of HOTAIR 16. Lee et al. reported that elevated expression of HOTAIR is associated with reduced disease-free survival and overall survival in cervical cancer patients 23. Their results indicated that elevated expression of HOTAIR was significantly related to tumor size and lymph node metastasis. Huang et al. showed that higher HOTAIR expression was not only significantly associated with FIGO stage and lymph node metastasis, but also significantly associated with decreased overall survival and disease-free survival 24. A meta-analysis showed that higher HOTAIR expression is associated with large tumor size and positive lymph node metastasis in uterine cervical cancer 25. HOTAIR overexpression was a risk factor for worse patient overall survival. Vascular endothelial growth factor and matrix metalloproteinase-9, which have an important role in cancer progression by increasing invasion, were up-regulated by HOTAIR in cervical cancer 26. Therefore, HOTAIR was reported to be associated with recurrence of cervical cancer. In addition, Gupta et al. reported that increased lncRNA HOTAIR expression is noted in primary breast tumor and is a powerful predictor of breast cancer patient death as well 10. In conclusion, our study reveals that lncRNAs HOTAIR SNP rs920778, rs12427129, rs4759314 and rs1899663 are not associated with cervical carcinongensis. However, lncRNAs HOTAIR SNP rs920778 is related to recurrence-free survival and overall survival in cervical cancer patients in univariate analysis. Genotype GG in lncRNAs HOTAIR SNP rs920778 is associated with poorer recurrence probability and worse overall survival in multivariate analysis. We infer that the influence of rs920778 on patient prognosis is mediated by the impact of rs920778 on the increased expression of HOTAIR. Because lncRNAs HOTAIR SNP rs920778 is not associated with clinicopathological variables of cervical cancer, it may be regarded as an independent predictor of patient prognosis in cervical cancer patients.
  26 in total

1.  Long non-coding RNA HOTAIR is a powerful predictor of metastasis and poor prognosis and is associated with epithelial-mesenchymal transition in colon cancer.

Authors:  Ze-Hua Wu; Xiao-Liang Wang; Hua-Mei Tang; Tao Jiang; Jian Chen; Su Lu; Guo-Qiang Qiu; Zhi-Hai Peng; Dong-Wang Yan
Journal:  Oncol Rep       Date:  2014-05-15       Impact factor: 3.906

2.  The identification of an ESCC susceptibility SNP rs920778 that regulates the expression of lncRNA HOTAIR via a novel intronic enhancer.

Authors:  Xiaojiao Zhang; Liqing Zhou; Guobin Fu; Fang Sun; Juan Shi; Jinyu Wei; Chao Lu; Changchun Zhou; Qipeng Yuan; Ming Yang
Journal:  Carcinogenesis       Date:  2014-04-30       Impact factor: 4.944

Review 3.  Dynamic behavioural interpretation of cervical intraepithelial neoplasia with molecular biomarkers.

Authors:  J P A Baak; A-J Kruse; S J Robboy; E A M Janssen; B van Diermen; I Skaland
Journal:  J Clin Pathol       Date:  2006-05-05       Impact factor: 3.411

Review 4.  Anti-human papillomavirus therapeutics: facts & future.

Authors:  Alok C Bharti; Shirish Shukla; Sutapa Mahata; Suresh Hedau; Bhudev C Das
Journal:  Indian J Med Res       Date:  2009-09       Impact factor: 2.375

5.  Role of HOTAIR long noncoding RNA in metastatic progression of lung cancer.

Authors:  W Zhao; Y An; Y Liang; X-W Xie
Journal:  Eur Rev Med Pharmacol Sci       Date:  2014-07       Impact factor: 3.507

6.  The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression.

Authors:  Thomas Derrien; Rory Johnson; Giovanni Bussotti; Andrea Tanzer; Sarah Djebali; Hagen Tilgner; Gregory Guernec; David Martin; Angelika Merkel; David G Knowles; Julien Lagarde; Lavanya Veeravalli; Xiaoan Ruan; Yijun Ruan; Timo Lassmann; Piero Carninci; James B Brown; Leonard Lipovich; Jose M Gonzalez; Mark Thomas; Carrie A Davis; Ramin Shiekhattar; Thomas R Gingeras; Tim J Hubbard; Cedric Notredame; Jennifer Harrow; Roderic Guigó
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

Review 7.  The functional role of long non-coding RNA in human carcinomas.

Authors:  Ewan A Gibb; Carolyn J Brown; Wan L Lam
Journal:  Mol Cancer       Date:  2011-04-13       Impact factor: 27.401

8.  Long non-coding RNA HOTAIR is associated with human cervical cancer progression.

Authors:  Hee Jung Kim; Dae Woo Lee; Ga Won Yim; Eun Ji Nam; Sunghoon Kim; Sang Wun Kim; Young Tae Kim
Journal:  Int J Oncol       Date:  2014-11-17       Impact factor: 5.650

9.  The HOTAIR, PRNCR1 and POLR2E polymorphisms are associated with cancer risk: a meta-analysis.

Authors:  Haiyan Chu; Yaoyao Chen; Qinbo Yuan; Qiuhan Hua; Xu Zhang; Meilin Wang; Na Tong; Wei Zhang; Jinfei Chen; Zhengdong Zhang
Journal:  Oncotarget       Date:  2017-06-27

10.  Significant association between long non-coding RNA HOTAIR polymorphisms and cancer susceptibility: a meta-analysis.

Authors:  Jian Zhang; Xu Liu; Liang-Hao You; Rui-Zhi Zhou
Journal:  Onco Targets Ther       Date:  2016-06-01       Impact factor: 4.147

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  9 in total

1.  Contributions of HOTAIR polymorphisms to the susceptibility of cancer.

Authors:  Hu-Nian Li; Na Deng; Xu Zhao; Jie Liu; Ting He; Xi-Wei Ding
Journal:  Int J Clin Oncol       Date:  2021-02-25       Impact factor: 3.402

2.  Long Noncoding RNA HOTAIR Promotes Endometrial Carcinoma Cell Proliferation by Binding to PTEN via the Activating Phosphatidylinositol 3-Kinase/Akt Signaling Pathway.

Authors:  Xiao-Hui Zhang; Pin Hu; Yang-Qin Xie; Yong-Jun Kang; Min Li
Journal:  Mol Cell Biol       Date:  2019-11-12       Impact factor: 4.272

3.  Delphinidin suppresses breast carcinogenesis through the HOTAIR/microRNA-34a axis.

Authors:  Bin Han; Xiaoli Peng; Daomei Cheng; Yanfeng Zhu; Jingchang Du; Ju Li; Xiaoping Yu
Journal:  Cancer Sci       Date:  2019-09-16       Impact factor: 6.716

4.  The clinicopathological characteristic associations of long non-coding RNA gene H19 polymorphisms with uterine cervical cancer.

Authors:  Ming-Chao Huang; Ying-Hsiang Chou; Huang-Pin Shen; Soo-Cheen Ng; Yueh-Chun Lee; Yi-Hung Sun; Chun-Fang Hsu; Shun-Fa Yang; Po-Hui Wang
Journal:  J Cancer       Date:  2019-10-15       Impact factor: 4.207

5.  Polymorphisms in endoplasmic reticulum aminopeptidase genes are associated with cervical cancer risk in a Chinese Han population.

Authors:  Chuanyin Li; Yaheng Li; Zhiling Yan; Shuying Dai; Shuyuan Liu; Xia Wang; Jun Wang; Xinwen Zhang; Li Shi; Yufeng Yao
Journal:  BMC Cancer       Date:  2020-04-22       Impact factor: 4.430

6.  Investigation of Transcriptome Patterns in Endometrial Cancers from Obese and Lean Women.

Authors:  Konii Takenaka; Ashton Curry-Hyde; Ellen M Olzomer; Rhonda Farrell; Frances L Byrne; Michael Janitz
Journal:  Int J Mol Sci       Date:  2022-09-29       Impact factor: 6.208

7.  Impact of GAS5 genetic polymorphism on prostate cancer susceptibility and clinicopathologic characteristics.

Authors:  Chia-Yen Lin; Shian-Shiang Wang; Cheng-Kuang Yang; Jian-Ri Li; Chuan-Shu Chen; Sheng-Chun Hung; Kun-Yuan Chiu; Chen-Li Cheng; Yen-Chuan Ou; Shun-Fa Yang
Journal:  Int J Med Sci       Date:  2019-09-20       Impact factor: 3.738

8.  A HOTAIR regulatory element modulates glioma cell sensitivity to temozolomide through long-range regulation of multiple target genes.

Authors:  Lei Zhang; Anshun He; Bohan Chen; Jinfang Bi; Jun Chen; Dianhao Guo; Yuyang Qian; Wenbin Wang; Tengfei Shi; Zhongfang Zhao; Jiandang Shi; Woojin An; Frank Attenello; Wange Lu
Journal:  Genome Res       Date:  2020-01-17       Impact factor: 9.043

9.  Single Nucleotide Polymorphisms in HOTAIR Are Related to Breast Cancer Risk and Prognosis in the Northeastern Chinese Population.

Authors:  Zheng Lv; Changgui Kou; Naifei Chen; Lin Jia; Xu Sun; Yangyang Gao; Rilan Bai; Ming Yang; Jiuwei Cui
Journal:  Front Oncol       Date:  2021-07-12       Impact factor: 6.244

  9 in total

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