Literature DB >> 12492109

Relationship of XIST expression and responses of ovarian cancer to chemotherapy.

Kuan-Chun Huang1, Pulivarthi H Rao, Ching C Lau, Edith Heard, Shu-Kay Ng, Carolyn Brown, Samuel C Mok, Ross S Berkowitz, Shu-Wing Ng.   

Abstract

Expression profiling to characterize cancer pharmacology has become a new approach to discover novel molecular targets for prognostic markers and cancer therapy. In a study to compare the global RNA expression profiles between primary and recurrent ovarian tumors from the same patient, we have identified XIST (inactive X chromosome-specific transcripts) as the most differentially expressed gene that was down-regulated in the recurrent tumor. XIST encodes a spliced noncoding polyadenylated transcript that is unique in being expressed exclusively from the inactive X chromosome and is involved in the X-inactivation process. Subsequent characterization of XIST expression in a panel of female cancer cell lines showed that the expression level of XIST correlates significantly with Taxol sensitivity. The clinical relevance of this observation is demonstrated by the strong association between XIST RNA levels and disease-free periods of ovarian cancer patients in a group of 21 ovarian cancer cases with Taxol in the therapeutic regiments. Cytogenetic studies on ovarian cancer cell lines indicated that loss of inactive X chromosome is one mechanism for the loss of XIST transcripts in the cell lines. Our data suggest that XIST expression may be a potential marker for chemotherapeutic responses in ovarian cancer.

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Year:  2002        PMID: 12492109

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  55 in total

1.  Hematopoietic precursor cells transiently reestablish permissiveness for X inactivation.

Authors:  Fabio Savarese; Katja Flahndorfer; Rudolf Jaenisch; Meinrad Busslinger; Anton Wutz
Journal:  Mol Cell Biol       Date:  2006-10       Impact factor: 4.272

Review 2.  Long noncoding RNAs in diseases of aging.

Authors:  Jiyoung Kim; Kyoung Mi Kim; Ji Heon Noh; Je-Hyun Yoon; Kotb Abdelmohsen; Myriam Gorospe
Journal:  Biochim Biophys Acta       Date:  2015-07-02

3.  Upregulation of long noncoding RNA XIST has anticancer effects on ovarian cancer through sponging miR-106a.

Authors:  Ting Guo; Donglan Yuan; Wei Zhang; Dandan Zhu; Aifang Xiao; Guangyao Mao; Wenjuan Jiang; Mei Lin; Jun Wang
Journal:  Hum Cell       Date:  2021-01-05       Impact factor: 4.174

Review 4.  Long Noncoding RNA and Cancer: A New Paradigm.

Authors:  Arunoday Bhan; Milad Soleimani; Subhrangsu S Mandal
Journal:  Cancer Res       Date:  2017-07-12       Impact factor: 12.701

Review 5.  Regulatory role of long non-coding RNAs during reproductive disease.

Authors:  Kangsheng Liu; Xiaodong Mao; Yajun Chen; Taiping Li; Hua Ton
Journal:  Am J Transl Res       Date:  2018-01-15       Impact factor: 4.060

6.  Long non-coding RNAs in ovarian cancer: expression profile and functional spectrum.

Authors:  Selin Oncul; Paola Amero; Cristian Rodriguez-Aguayo; George A Calin; Anil K Sood; Gabriel Lopez-Berestein
Journal:  RNA Biol       Date:  2019-12-17       Impact factor: 4.652

7.  Cyclin A1 expression and paclitaxel resistance in human ovarian cancer cells.

Authors:  Kuan-Chun Huang; Junzheng Yang; Michelle C Ng; Shu-Kay Ng; William R Welch; Michael G Muto; Ross S Berkowitz; Shu-Wing Ng
Journal:  Eur J Cancer       Date:  2016-09-24       Impact factor: 9.162

8.  An integrative approach to assess X-chromosome inactivation using allele-specific expression with applications to epithelial ovarian cancer.

Authors:  Nicholas B Larson; Zachary C Fogarty; Melissa C Larson; Kimberly R Kalli; Kate Lawrenson; Simon Gayther; Brooke L Fridley; Ellen L Goode; Stacey J Winham
Journal:  Genet Epidemiol       Date:  2017-11-08       Impact factor: 2.135

9.  Identification of carcinogenic potential-associated molecular mechanisms in CD133(+) A549 cells based on microRNA profiles.

Authors:  Qing-Yong Chen; De-Min Jiao; Ya Zhu; Huizhen Hu; Jian Wang; Xiali Tang; Jun Chen; Li Yan
Journal:  Tumour Biol       Date:  2015-08-01

10.  Potential predictive markers of chemotherapy resistance in stage III ovarian serous carcinomas.

Authors:  Lovisa Osterberg; Kristina Levan; Karolina Partheen; Ulla Delle; Björn Olsson; Karin Sundfeldt; György Horvath
Journal:  BMC Cancer       Date:  2009-10-18       Impact factor: 4.430

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