Literature DB >> 28755392

High expression of long non-coding HOX antisense transcript RNA and its clinical significance in cancer tissues: A meta-analysis.

Lei Wang1, Yandong Zhao2, Yi Qin1, Yunpeng Xuan1, Tong Qiu1, Bo Fu1, Xiaoyang Ren1, Wenjie Jiao1.   

Abstract

BACKGROUND: HOX antisense transcript RNA (HOTAIR) is a 2148 nt long, intergenic, non-coding RNA molecule, which is reported to be highly expressed in many types of cancers. This meta-analysis summarizes its expression in cancer.
METHODS: We searched all eligible papers on the prognostic impact of HOTAIR in cancer from inception to 30 September 2015 in PubMed, CBMdisc, and the CNKI database. Only full texts were included. Revman 5.3 was used for meta-analysis.
RESULTS: A total of 11 studies of 1010 cases were included in the meta-analysis. HOTAIR expression was higher in: cancer tissues in than adjacent or normal tissues (odds ratio [OR] 37.52, 95% confidence interval [CI] 18.94-74.31; P  < 0.00001); in cancer tissues with lymph node metastasis than in those without lymph node metastasis (OR 3.37, 95% CI 2.36-4.82; P  < 0.00001); and in histological grades II-III than in histological gradeI(OR 0.47, 95% CI 0.29-0.75; P  = 0.002).
CONCLUSION: This study shows that HOTAIR may play an important role in cancer occurrence and development, but whether it is a marker of cancer diagnosis and reliable prognosis remains to be confirmed. More rigorous design and meticulous quality epidemiological studies are required.
© 2017 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  zzm321990Cancer; zzm321990HOTAIRzzm321990; long non-coding RNAzzm321990; meta-analysis

Mesh:

Substances:

Year:  2017        PMID: 28755392      PMCID: PMC5582481          DOI: 10.1111/1759-7714.12435

Source DB:  PubMed          Journal:  Thorac Cancer        ISSN: 1759-7706            Impact factor:   3.500


Introduction

Most human genomes are transcribed to RNA, but only 2% of RNA encodes functional proteins.1, 2 Long non‐coding RNA (lncRNA) more than 200 nt long is a transcription of RNA. It does not code for proteins, and most are located in the nucleus.3 lncRNAs have been described as transcriptional “noise,” existing to regulate gene expression levels.4 A class of small noncoding RNAs (ncRNAs) called microRNAs (miRNAs) have been implicated in the progression, prognosis, and therapy of malignant tumors.5lncRNA is also extensively involved in physiological and pathological processes, and plays an important role in the development of malignant tumors. HOX antisense transcript RNA (HOTAIR) is the first trans‐acting RNA to be found and is closely related to breast,6 liver,7 and colorectal cancers,8and other tumors. It may also represent a new diagnostic and prognostic molecular marker of early stage tumors. HOTAIR plays an important role in gene regulation by modifying chromatin structure.2, 9, 10GLOBOCAN reported that in 2012, there were 14 million new cases and 8.2 million patients died of cancer.11 Cancer has become the main cause of death worldwide. Five‐year survival rates for most cancers are still low. lncRNA recognizes the tumor and its molecular biology capabilities, which provides us with a new method to study the molecular biology and process of malignant tumors. HOTAIR has been associated with the occurrence and development of tumors; therefore, we used meta‐analysis to investigate the correlation between HOTAIR and cancer prognosis in this study.

Methods

Inclusion and exclusion criteria

Articles investigating the role of HOTAIR in the development of cancer with the following criteria were included in the study: (i) HOTAIR expression levels in primary cancerous tissues were measured, (ii) patients were grouped according to HOTAIR expression levels, (iii) complete clinical and pathological data were available, (iv) patients had not received chemotherapy or radiotherapy, and (v) sufficient data for the computation of odds ratios (OR) and corresponding 95% confidence intervals (CI) was available. Repeated data or duplicated published literature, animal experiments, and case reports were excluded.

Document retrieval

We searched PubMed, CBMdisc, CNKI and other databases for English articles using the keywords: “HOTAIR,” “carcinoma,” “neoplasm,” and “prognosis.”

Literature screening and data extraction

Two reviewers separately screened the literature and ruled out any literature that obviously did not meet the inclusion criteria. When there were objections to a particular article, we consulted the article author and discussed acceptance or rejection after analysis. Data extraction included: paper title, author, publication year, patient information, the number of patients studied, the follow‐up period, cancer and lymph node metastasis, histological grade, and histological differentiation grade.

Quality assessment of primary studies

Referencing Lichtenstein et al.’s case‐control study evaluation guidelines, two investigators independently performed quality assessment.12 The study selection is detailed in Figure 1.
Figure 1

Flow diagram of the meta‐analysis.

Flow diagram of the meta‐analysis.

Statistical analysis

We used RevMan 5.3 software to perform the meta‐analysis, counted the data using odds ratios (OR) and 95% confidence interval (CI) merger statistics, and 0.05 was considered statistically significant.13 The χ2 test was used to analyze statistical heterogeneity between studies, assuming a test level of α = 0.1. I2 was used for quantitative analysis of statistic heterogeneity. When P ≥ 0.1 and I2 ≤ 50%, no statistical heterogeneity was found between studies and a fixed‐effect model was used for meta‐analysis. When P < 0.1 and I2 > 50%, demonstrating high statistical heterogeneity between study results, or if the clinical heterogeneity was not apparent, a random effects model was used.

Results

Literature screening process

Thirty‐six articles were selected and after reading the title, abstract, and full text, we ultimately included 11 case‐control trials with a total of 1010 patients.

Basic characteristics and quality evaluation of included studies

The 11 selected studies included 160 cases of nasopharyngeal carcinoma, 171 cases of esophageal cancer, 119 cases of non‐small cell lung cancer, 87 cases of endometrial cancer, 132 cases of ovarian cancer, 110 cases of bladder cancer, 111 cases of cervical cancer, and 120 cases of colon cancer. Four studies reported HOTAIR expression in para‐carcinoma and cancer tissue or normal tissue,14, 15, 16, 17 eight reported HOTAIR expression with lymph nodes metastasis in carcinoma tissue,14, 15, 17, 18, 19, 20, 21, 22 and four reported HOTAIR expression in different pathologically graded carcinoma tissue.14, 22, 23, 24 A quality assessment and the basic characteristics of each study are shown in Table 1.
Table 1

Basic characteristics and quality evaluation of included studies

StudyAreaTumor typeGender (male/female)Age (year)NResearch index
Chen 2013ChinaEsophageal cancer50/2861.9 ± 8.4878
He 2014ChinaEndometrial cancer8787
Kim 2015KoreaCervical cancer11150.6 ± 1.59111
Lv 2013ChinaEsophageal cancer56/3793
Nie 2013ChinaNasopharyngeal carcinoma109/5146160 §
Takayuki 2013JapanNon‐small cell lung cancer49/2877
Wu 2014ChinaColon cancer64/56120
Liu 2013ChinaNon‐small cell lung cancer32/1042
Qiu 2014ChinaOvarian cancer6464 §
Qiu 2015ChinaOvarian cancer6868 §
Yan2014ChinaBladder cancer80/30110 §

HOTAIR expression with lymph node metastasis in carcinoma tissue.

HOX antisense transcript RNA (HOTAIR) expression in para‐carcinoma, cancer or normal tissues.

HOTAIR expression in different pathologically graded carcinoma tissue.

Basic characteristics and quality evaluation of included studies HOTAIR expression with lymph node metastasis in carcinoma tissue. HOX antisense transcript RNA (HOTAIR) expression in para‐carcinoma, cancer or normal tissues. HOTAIR expression in different pathologically graded carcinoma tissue.

HOX antisense transcript RNA (HOTAIR) expression in cancer tissues and control

Four studies examined HOTAIR expression in cancer, cancer adjacent, and normal tissues. As there was no statistical heterogeneity among these studies (P = 0.25), the fixed effects model was adopted for meta‐analysis. HOTAIR expression in cancer tissues was higher than in the control group (OR 37.52, 95% CI 18.94–74.31; P < 0.000 01) (Fig 2). The shape of the funnel plot suggested that there was no publication bias (Fig 3).
Figure 2

Analysis of HOX antisense transcript RNA expression in cancer versus control tissues. CI, confidence interval; M–H, Mantel–Haenszel.

Figure 3

Funnel plot of publication bias. OR, odds ratio; SE, standard error.

Analysis of HOX antisense transcript RNA expression in cancer versus control tissues. CI, confidence interval; M–H, Mantel–Haenszel. Funnel plot of publication bias. OR, odds ratio; SE, standard error.

HOTAIR expression in cancer tissues with and without lymph node metastasis

Eight studies examined HOTAIR expression in cancer tissues with and without lymph node metastasis.14, 15, 17, 18, 19, 20, 21, 22 There was statistical heterogeneity among these studies (P = 0.01); therefore, the random effects model was adopted for meta‐analysis. HOTAIR expression was higher in cancer tissues with lymph node metastasis than in those without (OR 3.37, 95% CI 2.36–4.82; P < 0.00001) (Fig 4). The shape of the funnel plot suggested that there was no publication bias (Fig 5).
Figure 4

Analysis of HOX antisense transcript RNA expression is cancer tissues with and without lymph node metastasis. CI, confidence interval; M–H, Mantel–Haenszel.

Figure 5

Funnel plot of publication bias. OR, odds ratio; SE, standard error.

Analysis of HOX antisense transcript RNA expression is cancer tissues with and without lymph node metastasis. CI, confidence interval; M–H, Mantel–Haenszel. Funnel plot of publication bias. OR, odds ratio; SE, standard error.

HOTAIR expression in different histological classifications of cancer

Four studies examined HOTAIR expression in different histological classifications of cancer.14, 22, 23, 24As there was statistical heterogeneity among these studies (P = 0.02), the random effects model was adopted for meta‐analysis. HOTAIR expression was higher in cancer histological grades II–III (OR 0.47, 95% CI 0.29–0.75; P = 0.002) (Fig 6). The shape of the funnel plot suggested that there was no publication bias (Fig 7).
Figure 6

Analysis of HOX antisense transcript RNA expression between cancer histological gradesII–III. CI, confidence interval; M–H, Mantel–Haenszel.

Figure 7

Funnel plot of publication bias. OR, odds ratio; SE, standard error.

Analysis of HOX antisense transcript RNA expression between cancer histological gradesII–III. CI, confidence interval; M–H, Mantel–Haenszel. Funnel plot of publication bias. OR, odds ratio; SE, standard error.

Discussion

Eleven case‐control studies (1010 cases) examining the relationship between HOTAIR expression and cancer, lymph node metastasis, and histological grade were included in this meta‐analysis.14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 HOTAIR expression in cancer tissues was higher than in normal tissues, and expression was correlated with lymph node metastasis and different histological grades. Long intergenic non‐coding RNAs are deregulated in various human diseases, particularly cancer. lncRNAs in human disease might be correlated with their ability to impact cellular functions through different mechanisms.2, 25 Recently, studies have indicated that lncRNA HOTAIR plays a crucial role in the progression and metastasis of diverse cancers. HOTAIR is a 2158‐nucleotide lncRNA, a spliced and polyadenylated transcript located on chromosome 12q13.13. HOTAIR is highly conserved in primates and evolves faster than its neighboring HoxC genes. It negatively regulates transcription on another chromosome and is reported to reprogram chromatin organization and promote tumor progression. A number of studies have reported higher HOTAIR expression levels in paired primary cancerous tissues than in adjacent non‐cancerous tissues. HOTAIR overexpression is associated with high‐risk grade, metastasis, and poor overall survival in cancer patients. showed that HOTAIR represses gene expression by recruiting chromatin modifiers.26HOTAIR expression is elevated in lung cancer and correlates with metastasis and poor prognosis, promoting proliferation, survival, invasion, metastasis, and drug resistance in lung cancer cells. HOTAIR expression levels in colorectal cancer tissues are higher than those in corresponding non‐cancerous tissues and are associated with a poor prognosis.8 Gupta et al. showed that HOTAIR expression was associated with breast cancer metastasis.7 Kogo et al. speculated that HOTAIR expression was also associated with metastasis in colorectal cancer.8Using in vitro data, they showed that HOTAIR overexpression increased the invasiveness of colorectal cancer cells. These results indicate that HOTAIR might also play a role in promoting metastasis of colorectal cancer. Using systematic review, we found that high HOTAIR expression is also associated with cancer occurrence, lymph node metastasis, and histological grade, with ORs of 8.15 (95% CI 4.61, 14.41), 1.83 (95% CI 1.06, 3.17), and 2.09 (95% CI 1.42, 3.08), respectively. Therefore, we believe that HOTAIR may be involved in the entire process of cancer occurrence and development. It should be emphasized that there are several limitations to our study. First, although we conducted a relatively comprehensive search, we only reviewed published data and as such the lack of grey literature may have generated negative publication bias. Second, while stochastic study methods were described, the fact that no specific details of allocation concealment and how blinding was implemented were available may have introduced selection bias produced by human factors. In summary, we found that HOTAIR expression in cancer tissues was higher than in adjacent and normal tissues, and was correlated with lymph node metastasis and different histological grades. HOTAIR may play an important role in the occurrence and development of cancer. However, the reliability of HOTAIR as a diagnostic and prognostic tool for cancer has not yet been confirmed. More rigorous, meticulous, and high quality design epidemiological studies are required.

Disclosure

No authors report any conflict of interest.
  23 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.  Guidelines for reading case-control studies.

Authors:  M J Lichtenstein; C D Mulrow; P C Elwood
Journal:  J Chronic Dis       Date:  1987

3.  Long noncoding RNA HOTAIR regulates polycomb-dependent chromatin modification and is associated with poor prognosis in colorectal cancers.

Authors:  Ryunosuke Kogo; Teppei Shimamura; Koshi Mimori; Kohichi Kawahara; Seiya Imoto; Tomoya Sudo; Fumiaki Tanaka; Kohei Shibata; Akira Suzuki; Shizuo Komune; Satoru Miyano; Masaki Mori
Journal:  Cancer Res       Date:  2011-08-23       Impact factor: 12.701

4.  Clinical significance of the expression of long non-coding RNA HOTAIR in primary hepatocellular carcinoma.

Authors:  Masahisa Ishibashi; Ryunosuke Kogo; Kohei Shibata; Genta Sawada; Yusuke Takahashi; Junji Kurashige; Sayuri Akiyoshi; Shin Sasaki; Takeshi Iwaya; Tomoya Sudo; Keishi Sugimachi; Koshi Mimori; Go Wakabayashi; Masaki Mori
Journal:  Oncol Rep       Date:  2012-12-28       Impact factor: 3.906

5.  Long non-coding RNA HOTAIR is an independent prognostic marker for nasopharyngeal carcinoma progression and survival.

Authors:  Yan Nie; Xiang Liu; Shaohua Qu; Erwei Song; Hua Zou; Chang Gong
Journal:  Cancer Sci       Date:  2013-01-30       Impact factor: 6.716

6.  Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression.

Authors:  Ahmad M Khalil; Mitchell Guttman; Maite Huarte; Manuel Garber; Arjun Raj; Dianali Rivea Morales; Kelly Thomas; Aviva Presser; Bradley E Bernstein; Alexander van Oudenaarden; Aviv Regev; Eric S Lander; John L Rinn
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-01       Impact factor: 11.205

7.  Overexpression of long non-coding RNA HOTAIR predicts poor patient prognosis and promotes tumor metastasis in epithelial ovarian cancer.

Authors:  Jun-jun Qiu; Ying-ying Lin; Le-chi Ye; Jing-xin Ding; Wei-wei Feng; Hong-yan Jin; Ying Zhang; Qing Li; Ke-qin Hua
Journal:  Gynecol Oncol       Date:  2014-03-22       Impact factor: 5.482

8.  The transcriptional landscape of the mammalian genome.

Authors:  P Carninci; T Kasukawa; S Katayama; J Gough; M C Frith; N Maeda; R Oyama; T Ravasi; B Lenhard; C Wells; R Kodzius; K Shimokawa; V B Bajic; S E Brenner; S Batalov; A R R Forrest; M Zavolan; M J Davis; L G Wilming; V Aidinis; J E Allen; A Ambesi-Impiombato; R Apweiler; R N Aturaliya; T L Bailey; M Bansal; L Baxter; K W Beisel; T Bersano; H Bono; A M Chalk; K P Chiu; V Choudhary; A Christoffels; D R Clutterbuck; M L Crowe; E Dalla; B P Dalrymple; B de Bono; G Della Gatta; D di Bernardo; T Down; P Engstrom; M Fagiolini; G Faulkner; C F Fletcher; T Fukushima; M Furuno; S Futaki; M Gariboldi; P Georgii-Hemming; T R Gingeras; T Gojobori; R E Green; S Gustincich; M Harbers; Y Hayashi; T K Hensch; N Hirokawa; D Hill; L Huminiecki; M Iacono; K Ikeo; A Iwama; T Ishikawa; M Jakt; A Kanapin; M Katoh; Y Kawasawa; J Kelso; H Kitamura; H Kitano; G Kollias; S P T Krishnan; A Kruger; S K Kummerfeld; I V Kurochkin; L F Lareau; D Lazarevic; L Lipovich; J Liu; S Liuni; S McWilliam; M Madan Babu; M Madera; L Marchionni; H Matsuda; S Matsuzawa; H Miki; F Mignone; S Miyake; K Morris; S Mottagui-Tabar; N Mulder; N Nakano; H Nakauchi; P Ng; R Nilsson; S Nishiguchi; S Nishikawa; F Nori; O Ohara; Y Okazaki; V Orlando; K C Pang; W J Pavan; G Pavesi; G Pesole; N Petrovsky; S Piazza; J Reed; J F Reid; B Z Ring; M Ringwald; B Rost; Y Ruan; S L Salzberg; A Sandelin; C Schneider; C Schönbach; K Sekiguchi; C A M Semple; S Seno; L Sessa; Y Sheng; Y Shibata; H Shimada; K Shimada; D Silva; B Sinclair; S Sperling; E Stupka; K Sugiura; R Sultana; Y Takenaka; K Taki; K Tammoja; S L Tan; S Tang; M S Taylor; J Tegner; S A Teichmann; H R Ueda; E van Nimwegen; R Verardo; C L Wei; K Yagi; H Yamanishi; E Zabarovsky; S Zhu; A Zimmer; W Hide; C Bult; S M Grimmond; R D Teasdale; E T Liu; V Brusic; J Quackenbush; C Wahlestedt; J S Mattick; D A Hume; C Kai; D Sasaki; Y Tomaru; S Fukuda; M Kanamori-Katayama; M Suzuki; J Aoki; T Arakawa; J Iida; K Imamura; M Itoh; T Kato; H Kawaji; N Kawagashira; T Kawashima; M Kojima; S Kondo; H Konno; K Nakano; N Ninomiya; T Nishio; M Okada; C Plessy; K Shibata; T Shiraki; S Suzuki; M Tagami; K Waki; A Watahiki; Y Okamura-Oho; H Suzuki; J Kawai; Y Hayashizaki
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

9.  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

Review 10.  Functions of lncRNA HOTAIR in lung cancer.

Authors:  Gregory Loewen; Janarthanan Jayawickramarajah; Ying Zhuo; Bin Shan
Journal:  J Hematol Oncol       Date:  2014-12-10       Impact factor: 17.388

View more
  2 in total

1.  High HOXD4 protein expression in gastric adenocarcinoma tissues indicates unfavorable clinical outcomes.

Authors:  Hui Liu; Hequn Tian; Jing Zhao; Yong Jia
Journal:  Saudi J Gastroenterol       Date:  2019 Jan-Feb       Impact factor: 2.485

2.  Upregulated long non-coding RNAs demonstrate promising efficacy for breast cancer detection: a meta-analysis.

Authors:  Guozheng Yu; Wei Zhang; Linyan Zhu; Lin Xia
Journal:  Onco Targets Ther       Date:  2018-03-16       Impact factor: 4.147

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.