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  5. MAX mutant small-cell lung cancers exhibit impaired activities of MGA-dependent noncanonical polycomb repressive complex

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Article
en
2021

MAX mutant small-cell lung cancers exhibit impaired activities of MGA-dependent noncanonical polycomb repressive complex

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en
2021
Vol 118 (37)
Vol. 118
DOI: 10.1073/pnas.2024824118

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Manel Esteller
Manel Esteller

University of Barcelona

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Paula Llabata
Manuel Torres-Diz
Antonio Gómez
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Abstract

The MYC axis is disrupted in cancer, predominantly through activation of the MYC family oncogenes but also through inactivation of the MYC partner MAX or of the MAX partner MGA. MGA and MAX are also members of the polycomb repressive complex, ncPRC1.6. Here, we use genetically modified MAX-deficient small-cell lung cancer (SCLC) cells and carry out genome-wide and proteomics analyses to study the tumor suppressor function of MAX. We find that MAX mutant SCLCs have ASCL1 or NEUROD1 or combined ASCL1/NEUROD1 characteristics and lack MYC transcriptional activity. MAX restitution triggers prodifferentiation expression profiles that shift when MAX and oncogenic MYC are coexpressed. Although ncPRC1.6 can be formed, the lack of MAX restricts global MGA occupancy, selectively driving its recruitment toward E2F6-binding motifs. Conversely, MAX restitution enhances MGA occupancy to repress genes involved in different functions, including stem cell and DNA repair/replication. Collectively, these findings reveal that MAX mutant SCLCs have either ASCL1 or NEUROD1 or combined characteristics and are MYC independent and exhibit deficient ncPRC1.6-mediated gene repression.

How to cite this publication

Paula Llabata, Manuel Torres-Diz, Antonio Gómez, Laureano Tomás-Daza, Octavio A. Romero, Joaquím Grego‐Bessa, Pere Llinàs‐Arias, Alfonso Valencia, Manel Esteller, Biola M. Javierre, Xiaoyang Zhang, Montse Sánchez‐Céspedes (2021). MAX mutant small-cell lung cancers exhibit impaired activities of MGA-dependent noncanonical polycomb repressive complex. , 118(37), DOI: https://doi.org/10.1073/pnas.2024824118.

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Publication Details

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Article

Year

2021

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1073/pnas.2024824118

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