Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 229

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

The Genomic Landscape of Breast Cancer as a Therapeutic Roadmap

Open access
Ellis, Matthew J., Perou, Charles M.·2013·Cancer Discovery

Abstract

Summary: The application of high-throughput techniques to profile DNA, RNA, and protein in breast cancer samples from hundreds of patients has profoundly increased our knowledge of the disease. The etiologic events that drive breast cancer are finally coming into focus and should be used to set priorities for clinical trials. In this Prospective, we summarize some of the headline conclusions from 6 recent breast cancer “omics profiling” articles in Nature, with an emphasis on the implications for systemic therapy. Cancer Discov; 3(1); 27–34. ©2012 AACR.

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-12-0462

Cites

12 of 12 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 12 references

Cited by

See all 229

Metadata

Authors
Ellis, M. J., & Perou, C. M.
Venue
Cancer Discovery
Published
2013-01-01
Volume
3
Issue
1
Pages
27-34
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W2133369878
Cited by
229
References
12
FWCI
9.52
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: The Genomic Landscape of Breast Cancer as a Therapeutic Roadmap. https://app.cochat.ai/papers/10.1158/2159-8290.cd-12-0462
The paper
Ellis, M. J., & Perou, C. M. (2013). The Genomic Landscape of Breast Cancer as a Therapeutic Roadmap. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-12-0462

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.