Pan-cancer analysis reveals TAp63-regulated oncogenic lncRNAs that promote cancer progression through AKT activation.
Pan-cancer analysis reveals TAp63-regulated oncogenic lncRNAs that promote cancer progression through AKT activation.
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泛癌症分析揭示了TAp63调节的致癌lncRNA,通过AKT激活促进癌症进展。
DOI:
10.1038/s41467-020-18973-w
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发表时间:
2020-10-14
影响因子:
16.6
通讯作者:
Flores ER
中科院分区:
文献类型:
--
作者:
Napoli M;Li X;Ackerman HD;Deshpande AA;Barannikov I;Pisegna MA;Bedrosian I;Mitsch J;Quinlan P;Thompson A;Rajapakshe K;Coarfa C;Gunaratne PH;Marchion DC;Magliocco AM;Tsai KY;Flores ER
The most frequent genetic alterations across multiple human cancers are mutations in TP53 and the activation of the PI3K/AKT pathway, two events crucial for cancer progression. Mutations in TP53 lead to the inhibition of the tumour and metastasis suppressor TAp63, a p53 family member. By performing a mouse-human cross species analysis between the TAp63 metastatic mammary adenocarcinoma mouse model and models of human breast cancer progression, we identified two TAp63-regulated oncogenic lncRNAs, TROLL-2 and TROLL-3. Further, using a pan-cancer analysis of human cancers and multiple mouse models of tumour progression, we revealed that these two lncRNAs induce the activation of AKT to promote cancer progression by regulating the nuclear to cytoplasmic translocation of their effector, WDR26, via the shuttling protein NOLC1. Our data provide preclinical rationale for the implementation of these lncRNAs and WDR26 as therapeutic targets for the treatment of human tumours dependent upon mutant TP53 and/or the PI3K/AKT pathway. Mutations in TP53 and hyperactivation of the PI3K/AKT pathway are the two most frequent drivers of cancer progression across multiple human tumour types. Here, the authors identify two TAp63 regulated long non-coding RNAs, TROLL-2 and TROLL-3, that connect these oncogenic pathways, thus promoting tumour and metastasis formation in a wide variety of cancer types.
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影响因子:
--
作者:
Bhardwaj A;Singh H;Rajapakshe K;Tachibana K;Ganesan N;Pan Y;Gunaratne PH;Coarfa C;Bedrosian I
通讯作者:
Bedrosian I
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ
影响因子:
10.5
作者:
Cabili, Moran N.;Trapnell, Cole;Rinn, John L.
通讯作者:
Rinn, John L.
影响因子:
--
作者:
Alt EU;Barabadi Z;Pfnür A;Ochoa JE;Daneshimehr F;Lang LM;Lin D;Braun SE;Chandrasekar B;Izadpanah R
通讯作者:
Izadpanah R
影响因子:
50.3
作者:
Girardini, Javier E.;Napoli, Marco;Del Sal, Giannino
通讯作者:
Del Sal, Giannino