Literature DB >> 25968902

The prognostic significance of HOTAIR for predicting clinical outcome in patients with digestive system tumors.

Gaoxiang Ma1,2, Qiaoyan Wang1,2, Chunye Lv3, Fulin Qiang4, Qiuhan Hua1,2, Haiyan Chu1,2, Mulong Du1,2, Na Tong1,2, Yejuan Jiang5, Meilin Wang1,2, Zhengdong Zhang6,7, Jian Wang8, Weida Gong9.   

Abstract

PURPOSE: Although some studies have assessed the prognostic value of HOTAIR in patients with digestive system tumors, the relationship between the HOTAIR and outcome of digestive system tumors remains unknown.
METHODS: The PubMed was searched to identify the eligible studies. Here, we performed a meta-analysis with 11 studies, including a total of 903 cases. Pooled hazard ratios (HRs) and 95 % confidence interval (CI) of HOTAIR for cancer survival were calculated.
RESULTS: We found that the pooled HR elevated HOTAIR expression in tumor tissues was 2.36 (95 % CI 1.88-2.97) compared with patients with low HOTAIR expression. Moreover, subgroup analysis revealed that HOTAIR overexpression was also markedly associated with short survival for esophageal squamous cell carcinoma (HR 2.19, 95 % CI 1.62-2.94) and gastric cancer (HR 1.66, 95 % CI 1.02-2.68). In addition, up-regulated HOTAIR was significantly related to survival of digestive system cancer among the studies with more follow-up time (follow time ≥ 5 years) (HR 2.51, 95 % CI 1.99-3.17). When stratified by HR resource and number of patients, the result indicated consistent results with the overall analysis. Subgroup analysis on ethnicities did not change the prognostic influence of elevated HOTAIR expression. Additionally, we conducted an independent validation cohort including 71 gastric cancer cases, in which patients with up-regulated HOTAIR expression had an unfavorable outcome with HR of 2.10 (95 % CI 1.10-4.03).
CONCLUSION: The results suggest that aberrant HOTAIR expression may serve as a candidate positive marker to predict the prognosis of patients with carcinoma of digestive system.

Entities:  

Keywords:  Digestive system tumors; HOTAIR; Prognosis factor

Mesh:

Substances:

Year:  2015        PMID: 25968902     DOI: 10.1007/s00432-015-1980-8

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  31 in total

Review 1.  Tumor marker utility grading system: a framework to evaluate clinical utility of tumor markers.

Authors:  D F Hayes; R C Bast; C E Desch; H Fritsche; N E Kemeny; J M Jessup; G Y Locker; J S Macdonald; R G Mennel; L Norton; P Ravdin; S Taube; R J Winn
Journal:  J Natl Cancer Inst       Date:  1996-10-16       Impact factor: 13.506

2.  Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals.

Authors:  Mitchell Guttman; Ido Amit; Manuel Garber; Courtney French; Michael F Lin; David Feldser; Maite Huarte; Or Zuk; Bryce W Carey; John P Cassady; Moran N Cabili; Rudolf Jaenisch; Tarjei S Mikkelsen; Tyler Jacks; Nir Hacohen; Bradley E Bernstein; Manolis Kellis; Aviv Regev; John L Rinn; Eric S Lander
Journal:  Nature       Date:  2009-02-01       Impact factor: 49.962

3.  Circulating long non-coding RNAs in plasma of patients with gastric cancer.

Authors:  Tomohiro Arita; Daisuke Ichikawa; Hirotaka Konishi; Shuhei Komatsu; Atsushi Shiozaki; Katsutoshi Shoda; Tsutomu Kawaguchi; Shoji Hirajima; Hiroaki Nagata; Takeshi Kubota; Hitoshi Fujiwara; Kazuma Okamoto; Eigo Otsuji
Journal:  Anticancer Res       Date:  2013-08       Impact factor: 2.480

4.  Long non-coding RNA metastasis associated in lung adenocarcinoma transcript 1 derived miniRNA as a novel plasma-based biomarker for diagnosing prostate cancer.

Authors:  Shancheng Ren; Fubo Wang; Jian Shen; Yi Sun; Weidong Xu; Ji Lu; Min Wei; Chuanliang Xu; Chengyao Wu; Zhensheng Zhang; Xu Gao; Zhiyong Liu; Jianguo Hou; Jiaoti Huang; Yinghao Sun
Journal:  Eur J Cancer       Date:  2013-05-28       Impact factor: 9.162

Review 5.  An overview of esophageal squamous cell carcinoma proteomics.

Authors:  Yi-Jun Qi; Wei-Xia Chao; Jen-Fu Chiu
Journal:  J Proteomics       Date:  2012-04-27       Impact factor: 4.044

6.  Long non-coding RNA HOTAIR, a driver of malignancy, predicts negative prognosis and exhibits oncogenic activity in oesophageal squamous cell carcinoma.

Authors:  X Li; Z Wu; Q Mei; X Li; M Guo; X Fu; W Han
Journal:  Br J Cancer       Date:  2013-09-10       Impact factor: 7.640

7.  Plasma HULC as a promising novel biomarker for the detection of hepatocellular carcinoma.

Authors:  Hui Xie; Hongwei Ma; Danqiu Zhou
Journal:  Biomed Res Int       Date:  2013-05-22       Impact factor: 3.411

8.  Knockdown of long non-coding RNA HOTAIR suppresses tumor invasion and reverses epithelial-mesenchymal transition in gastric cancer.

Authors:  Zhi-Yuan Xu; Qi-Ming Yu; Yi-An Du; Li-Tao Yang; Rui-Zeng Dong; Ling Huang; Peng-Fei Yu; Xiang-Dong Cheng
Journal:  Int J Biol Sci       Date:  2013-06-28       Impact factor: 6.580

9.  REporting recommendations for tumour MARKer prognostic studies (REMARK).

Authors:  L M McShane; D G Altman; W Sauerbrei; S E Taube; M Gion; G M Clark
Journal:  Br J Cancer       Date:  2005-08-22       Impact factor: 7.640

10.  Prognostic role of microRNA-21 in colorectal cancer: a meta-analysis.

Authors:  Xiaochun Xia; Baixia Yang; Xiaogang Zhai; Xiangyang Liu; Kang Shen; Zhijun Wu; Jing Cai
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

View more
  18 in total

Review 1.  Behavioral treatment of automatically reinforced SIB: 1982 - 2015.

Authors:  Griffin W Rooker; Andrew C Bonner; Christopher M Dillon; Jennifer R Zarcone
Journal:  J Appl Behav Anal       Date:  2018-07-10

Review 2.  Long Non-Coding RNAs: A Novel Paradigm for Toxicology.

Authors:  Joseph L Dempsey; Julia Yue Cui
Journal:  Toxicol Sci       Date:  2016-11-17       Impact factor: 4.849

3.  Further analysis of subtypes of automatically reinforced SIB: A replication and quantitative analysis of published datasets.

Authors:  Louis P Hagopian; Griffin W Rooker; Jennifer R Zarcone; Andrew C Bonner; Alexander R Arevalo
Journal:  J Appl Behav Anal       Date:  2016-12-29

4.  Quantitative Assessment of the Polymorphisms in the HOTAIR lncRNA and Cancer Risk: A Meta-Analysis of 8 Case-Control Studies.

Authors:  Tian Tian; Chunjian Li; Jing Xiao; Yi Shen; Yihua Lu; Liying Jiang; Xun Zhuang; Minjie Chu
Journal:  PLoS One       Date:  2016-03-24       Impact factor: 3.240

Review 5.  Clinical Significance of UCA1 to Predict Metastasis and Poor Prognosis of Digestive System Malignancies: A Meta-Analysis.

Authors:  Xiao-Dong Sun; Chen Huan; Wei Qiu; Da-Wei Sun; Xiao-Ju Shi; Chuan-Lei Wang; Chao Jiang; Guang-Yi Wang; Guo-Yue Lv
Journal:  Gastroenterol Res Pract       Date:  2016-12-15       Impact factor: 2.260

6.  TUG1, SPRY4-IT1, and HULC as valuable prognostic biomarkers of survival in cancer: A PRISMA-compliant meta-analysis.

Authors:  Yucheng Zhong; Zhicong Chen; Shuyuan Guo; Xinhui Liao; Haibiao Xie; Yien Zheng; Bin Cai; Peixian Huang; Yuhan Liu; Qun Zhou; Yuchen Liu; Weiren Huang
Journal:  Medicine (Baltimore)       Date:  2017-11       Impact factor: 1.889

Review 7.  Non-coding RNAs: new biomarkers and therapeutic targets for esophageal cancer.

Authors:  Xiaobin Hou; Jiaxin Wen; Zhipeng Ren; Guoliang Zhang
Journal:  Oncotarget       Date:  2017-06-27

8.  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

Review 9.  Clinicopathological and prognostic significance of homeobox transcript antisense RNA expression in various cancers: A meta-analysis.

Authors:  Sai-Nan Min; Tai Wei; Xiang-Ting Wang; Li-Ling Wu; Guang-Yan Yu
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

10.  Association between the HOTAIR polymorphisms and cancer risk: an updated meta-analysis.

Authors:  Zhao-Xiong Zhang; Xue Tong; Wan-Ni Zhang; Wei-Neng Fu
Journal:  Oncotarget       Date:  2017-01-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.