Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 959

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

BAP1 loss defines a new class of renal cell carcinoma

Open access
Peña-Llopis, Samuel, Vega-Rubín-de-Celis, Silvia, Liao, Arnold, Leng, Nan, Pavía-Jiménez, Andrea, Wang, Shanshan, Yamasaki, Toshinari, Zhrebker, Leah, Sivanand, Sharanya, Spence, Patrick, Kinch, Lisa, Hambuch, Tina, Jain, Suneer, Lotan, Yair, Margulis, Vitaly, Sagalowsky, Arthur I, Summerour, Pia Banerji, Kabbani, Wareef, Wong, S W Wendy, Grishin, Nick, Laurent, Marc, Xie, Xian-Jin, Haudenschild, Christian D, Ross, Mark T, Bentley, David R, Kapur, Payal, Brugarolas, James·2012·Nature Genetics

Abstract

The molecular pathogenesis of renal cell carcinoma (RCC) is poorly understood. Whole-genome and exome sequencing followed by innovative tumorgraft analyses (to accurately determine mutant allele ratios) identified several putative two-hit tumor suppressor genes, including BAP1. The BAP1 protein, a nuclear deubiquitinase, is inactivated in 15% of clear cell RCCs. BAP1 cofractionates with and binds to HCF-1 in tumorgrafts. Mutations disrupting the HCF-1 binding motif impair BAP1-mediated suppression of cell proliferation but not deubiquitination of monoubiquitinated histone 2A lysine 119 (H2AK119ub1). BAP1 loss sensitizes RCC cells in vitro to genotoxic stress. Notably, mutations in BAP1 and PBRM1 anticorrelate in tumors (P = 3 × 10−5), and combined loss of BAP1 and PBRM1 in a few RCCs was associated with rhabdoid features (q = 0.0007). BAP1 and PBRM1 regulate seemingly different gene expression programs, and BAP1 loss was associated with high tumor grade (q = 0.0005). Our results establish the foundation for an integrated pathological and molecular genetic classification of RCC, paving the way for subtype-specific treatments exploiting genetic vulnerabilities.

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 · 10.1038/ng.2323

Cites

10 of 10 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 10 references

Cited by

See all 959

Metadata

Authors
Peña-Llopis, S., Vega-Rubín-de-Celis, S., Liao, A., Leng, N., Pavía-Jiménez, A., Wang, S., Yamasaki, T., Zhrebker, L., Sivanand, S., Spence, P., Kinch, L., Hambuch, T., Jain, S., Lotan, Y., Margulis, V., Sagalowsky, A. I., Summerour, P. B., Kabbani, W., Wong, S. W. W., Grishin, N., Laurent, M., Xie, X.-J., Haudenschild, C. D., Ross, M. T., Bentley, D. R., Kapur, P., & Brugarolas, J.
Venue
Nature Genetics
Published
2012-06-10
Volume
44
Issue
7
Pages
751-759
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W2092892924
Cited by
959
References
10
FWCI
53.12
Type
journal article
Language
en
Open access
green

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: BAP1 loss defines a new class of renal cell carcinoma. https://app.cochat.ai/papers/10.1038/ng.2323
The paper
Peña-Llopis, S., Vega-Rubín-de-Celis, S., Liao, A., Leng, N., Pavía-Jiménez, A., Wang, S., Yamasaki, T., Zhrebker, L., Sivanand, S., Spence, P., Kinch, L., Hambuch, T., Jain, S., Lotan, Y., Margulis, V., Sagalowsky, A. I., Summerour, P. B., Kabbani, W., Wong, S. W. W., . . . Brugarolas, J. (2012). BAP1 loss defines a new class of renal cell carcinoma. Nature Genetics. https://doi.org/10.1038/ng.2323

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.