Long non-coding RNA metastasis associated in lung adenocarcinoma transcript 1 (MALAT1) interacts with estrogen receptor and predicted poor survival in breast cancer.
Long non-coding RNA metastasis associated in lung adenocarcinoma transcript 1 (MALAT1) interacts with estrogen receptor and predicted poor survival in breast cancer.
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肺腺癌转录物 1 (MALAT1) 相关的长非编码 RNA 转移与雌激素受体相互作用并预测乳腺癌的不良生存
DOI:
10.18632/oncotarget.9364
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发表时间:
2016-06-21
期刊:
影响因子:
--
通讯作者:
Wu J
中科院分区:
文献类型:
--
作者:
Huang NS;Chi YY;Xue JY;Liu MY;Huang S;Mo M;Zhou SL;Wu J
Metastasis associated in lung adenocarcinoma transcript 1 (MALAT1), a lncRNA that was first recognized as a prognostic parameter for patient survival of stage I lung cancer, is up-regulated in multiple human malignancies, including breast cancer. However, the mechanism of its function remained elusive. In the current study, by examining MALAT1 expression on mRNA level, we demonstrated that compared with MCF10A, MALAT1 expression was up-regulated in the majority of breast cancer cell lines (9/12). In 26 pairs of estrogen receptor (ER)-positive breast cancer samples, MALAT1 expression was significantly up-regulated compared with adjacent normal tissues (P = 0.012). Furthermore, of 204 breast cancer patients, high MALAT1 expression was associated with positive ER (P = 0.023) and progesterone receptor (PR) (P = 0.024) status. Further analysis using TCGA database revealed that ER and its target genes PGR and CCND1, were overexpressed in MALAT1 altered group compared with unaltered group, both on the mRNA and protein level. Lastly, we verified MALAT1's prognostic value in breast cancer. At the cut-off value of 75%, MALAT1 was the only independent prognostic factor of recurrence-free survival (RFS) in ER-negative patients in a multivariate Cox regression model (hazard ratio [HR] = 2.83, 95% confidence interval [CI] 1.02–7.83). MALAT1 overexpression was also associated with poor RFS in tamoxifen treated ER-positive breast cancer patients, which might serve as a potential biomarker to predict endocrine treatment sensitivity.
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影响因子:
7.3
作者:
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者:
Schultz N
影响因子:
64.8
作者:
Ellis, Matthew J.;Ding, Li;Shen, Dong;Luo, Jingqin;Suman, Vera J.;Wallis, John W.;Van Tine, Brian A.;Hoog, Jeremy;Goiffon, Reece J.;Goldstein, Theodore C.;Ng, Sam;Lin, Li;Crowder, Robert;Snider, Jacqueline;Ballman, Karla;Weber, Jason;Chen, Ken;Koboldt, Daniel C.;Kandoth, Cyriac;Schierding, William S.;McMichael, Joshua F.;Miller, Christopher A.;Lu, Charles;Harris, Christopher C.;McLellan, Michael D.;Wendl, Michael C.;DeSchryver, Katherine;Allred, D. Craig;Esserman, Laura;Unzeitig, Gary;Margenthaler, Julie;Babiera, G. V.;Marcom, P. Kelly;Guenther, J. M.;Leitch, Marilyn;Hunt, Kelly;Olson, John;Tao, Yu;Maher, Christopher A.;Fulton, Lucinda L.;Fulton, Robert S.;Harrison, Michelle;Oberkfell, Ben;Du, Feiyu;Demeter, Ryan;Vickery, Tammi L.;Elhammali, Adnan;Piwnica-Worms, Helen;McDonald, Sandra;Watson, Mark;Dooling, David J.;Ota, David;Chang, Li-Wei;Bose, Ron;Ley, Timothy J.;Piwnica-Worms, David;Stuart, Joshua M.;Wilson, Richard K.;Mardis, Elaine R.
通讯作者:
Mardis, Elaine R.
影响因子:
5.2
作者:
Xu, Chuan;Yang, Minhui;Li, Zuguo
通讯作者:
Li, Zuguo
DOI:
10.1016/j.bbrc.2016.02.102
发表时间:
2016-03-25
影响因子:
3.1
作者:
Chou, Jinjiang;Wang, Bingyu;Xi, Tao
通讯作者:
Xi, Tao
影响因子:
7.5
作者:
Fellenberg, Joerg;Bernd, Ludger;Zahlten-Hinguranage, Anita
通讯作者:
Zahlten-Hinguranage, Anita