MTDH associates with m6A RNA methylation and predicts cancer response for immune checkpoint treatment.
MTDH associates with m6A RNA methylation and predicts cancer response for immune checkpoint treatment.
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MTDH 与 m6A RNA 甲基化相关,并预测免疫检查点治疗的癌症反应。
DOI:
10.1016/j.isci.2021.103102
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发表时间:
2021-10-22
期刊:
影响因子:
5.8
通讯作者:
Zhang X
中科院分区:
文献类型:
--
作者:
Zhang F;Huang H;Qin Y;Chen C;She L;Wang J;Huang D;Tang Q;Liu Y;Zhu G;Zhang X
Immune checkpoint blockade (ICB) persistently provides a prognosis improvement but only in a small fraction of patients with cancer due to immunotherapy resistance induced by the consecutive activated oncogenic pathways, including MAPK, Akt, and WNT pathway partially driven by Metadherin (MTDH). However, there is no study to investigate the potential role and mechanisms of MTDH in ICB-treated cancers. Here, we systematically explored the cohorts from The Cancer Genome Atlas (TCGA) and independent cancer cohorts. Elevated MTDH expression was founded to associate with a worse overall survival and poorer immune response in patients with cancer. Dysregulated tumor-infiltrating immune cells and inhibitory immune checkpoint expression were correlated with MTDH expression. Furthermore, the mutual interactions between epithelial-to-mesenchymal-transition, m6A-RNA-methylation, and MTDH may illustrate the potential mechanisms of MTDH resistant to ICB treatment. Although more designed experiments and trials are needed in the future, targeting MTDH may help to overcome immunotherapy resistance in a wide range of cancers. MTDH associates with prognosis and immunotherapy response for patients with cancer MTDH associates with dysregulated tumor immune environment and checkpoint expression The MTDH/m6A RNA methylation/EMT pathway may contribute to immunotherapy resistance Biological sciences; Molecular biology; Expression study
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影响因子:
64.8
作者:
Helmink BA;Reddy SM;Gao J;Zhang S;Basar R;Thakur R;Yizhak K;Sade-Feldman M;Blando J;Han G;Gopalakrishnan V;Xi Y;Zhao H;Amaria RN;Tawbi HA;Cogdill AP;Liu W;LeBleu VS;Kugeratski FG;Patel S;Davies MA;Hwu P;Lee JE;Gershenwald JE;Lucci A;Arora R;Woodman S;Keung EZ;Gaudreau PO;Reuben A;Spencer CN;Burton EM;Haydu LE;Lazar AJ;Zapassodi R;Hudgens CW;Ledesma DA;Ong S;Bailey M;Warren S;Rao D;Krijgsman O;Rozeman EA;Peeper D;Blank CU;Schumacher TN;Butterfield LH;Zelazowska MA;McBride KM;Kalluri R;Allison J;Petitprez F;Fridman WH;Sautès-Fridman C;Hacohen N;Rezvani K;Sharma P;Tetzlaff MT;Wang L;Wargo JA
通讯作者:
Wargo JA
影响因子:
37.3
作者:
Chen, Xiaoxiang;Xu, Mu;Wang, Shukui
通讯作者:
Wang, Shukui
影响因子:
11.2
作者:
Akalay, Intissar;Janji, Bassam;Chouaib, Salem
通讯作者:
Chouaib, Salem
DOI:
10.1073/pnas.1918986117
发表时间:
2020-08-18
影响因子:
11.1
作者:
Li, Na;Kang, Yuqi;Rana, Tariq M.
通讯作者:
Rana, Tariq M.
影响因子:
82.9
作者:
Auslander N;Zhang G;Lee JS;Frederick DT;Miao B;Moll T;Tian T;Wei Z;Madan S;Sullivan RJ;Boland G;Flaherty K;Herlyn M;Ruppin E
通讯作者:
Ruppin E