Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 165

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

MAX Inactivation in Small Cell Lung Cancer Disrupts MYC–SWI/SNF Programs and Is Synthetic Lethal with BRG1

Romero, Octavio A., Torres-Diz, Manuel, Pros, Eva, Savola, Suvi, Gomez, Antonio, Moran, Sebastian, Saez, Carmen, Iwakawa, Reika, Villanueva, Alberto, Montuenga, Luis M., Kohno, Takashi, Yokota, Jun, Sanchez-Cespedes, Montse·2014·Cancer Discovery

Abstract

Our knowledge of small cell lung cancer (SCLC) genetics is still very limited, amplification of L-MYC, N-MYC, and C-MYC being some of the well-established gene alterations. Here, we report our discovery of tumor-specific inactivation of the MYC-associated factor X gene, MAX, in SCLC. MAX inactivation is mutually exclusive with alterations of MYC and BRG1, the latter coding for an ATPase of the switch/sucrose nonfermentable (SWI/SNF) complex. We demonstrate that BRG1 regulates the expression of MAX through direct recruitment to the MAX promoter, and that depletion of BRG1 strongly hinders cell growth, specifically in MAX-deficient cells, heralding a synthetic lethal interaction. Furthermore, MAX requires BRG1 to activate neuroendocrine transcriptional programs and to upregulate MYC targets, such as glycolysis-related genes. Finally, inactivation of the MAX dimerization protein, MGA, was also observed in both non–small cell lung cancer and SCLC. Our results provide evidence that an aberrant SWI/SNF–MYC network is essential for lung cancer development. Significance: We discovered that the MYC-associated factor X gene, MAX, is inactivated in SCLCs. Furthermore, we revealed a preferential toxicity of the inactivation of the chromatin remodeler BRG1 in MAX-deficient lung cancer cells, which opens novel therapeutic possibilities for the treatment of patients with SCLC with MAX-deficient tumors. Cancer Discov; 4(3); 292–303. ©2013 AACR. See related commentary by Rudin and Poirier, p. 273 This article is highlighted in the In This Issue feature, p. 259

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1158/2159-8290.cd-13-0799

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 6 references

Cited by

See all 165

Metadata

Authors
Romero, O. A., Torres-Diz, M., Pros, E., Savola, S., Gomez, A., Moran, S., Saez, C., Iwakawa, R., Villanueva, A., Montuenga, L. M., Kohno, T., Yokota, J., & Sanchez-Cespedes, M.
Venue
Cancer Discovery
Published
2014-03-01
Volume
4
Issue
3
Pages
292-303
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W2108040084
Cited by
165
References
6
FWCI
6.05
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MAX Inactivation in Small Cell Lung Cancer Disrupts MYC–SWI/SNF Programs and Is Synthetic Lethal with BRG1. https://app.cochat.ai/papers/10.1158/2159-8290.cd-13-0799
The paper
Romero, O. A., Torres-Diz, M., Pros, E., Savola, S., Gomez, A., Moran, S., Saez, C., Iwakawa, R., Villanueva, A., Montuenga, L. M., Kohno, T., Yokota, J., & Sanchez-Cespedes, M. (2014). MAX Inactivation in Small Cell Lung Cancer Disrupts MYC–SWI/SNF Programs and Is Synthetic Lethal with BRG1. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-13-0799

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.