Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 181

The DOI matches its Crossref record.

Multifactorial Approach to Predicting Resistance to Anthracyclines

Desmedt, Christine, Di Leo, Angelo, de Azambuja, Evandro, Larsimont, Denis, Haibe-Kains, Benjamin, Selleslags, Jean, Delaloge, Suzette, Duhem, Caroline, Kains, Jean-Pierre, Carly, Birgit, Maerevoet, Marie, Vindevoghel, Anita, Rouas, Ghislane, Lallemand, Françoise, Durbecq, Virginie, Cardoso, Fatima, Salgado, Roberto, Rovere, Rodrigo, Bontempi, Gianluca, Michiels, Stefan, Buyse, Marc, Nogaret, Jean-Marie, Qi, Yuan, Symmans, Fraser, Pusztai, Lajos, D'Hondt, Véronique, Piccart-Gebhart, Martine, Sotiriou, Christos·2011·Journal of Clinical Oncology

Abstract

Purpose: Validated biomarkers predictive of response/resistance to anthracyclines in breast cancer are currently lacking. The neoadjuvant Trial of Principle (TOP) study, in which patients with estrogen receptor (ER) –negative tumors were treated with anthracycline (epirubicin) monotherapy, was specifically designed to evaluate the predictive value of topoisomerase II-α (TOP2A) and develop a gene expression signature to identify those patients who do not benefit from anthracyclines. Patients and Methods: The TOP trial included 149 patients, 139 of whom were evaluable for response prediction analyses. The primary end point was pathologic complete response (pCR). TOP2A and gene expression profiles were evaluated using pre-epirubicin biopsies. Gene expression data from ER-negative samples of the EORTC (European Organisation for Research and Treatment of Cancer) 10994/BIG (Breast International Group) 00-01 and MDACC (MD Anderson Cancer Center) 2003-0321 neoadjuvant trials were used for validation purposes. Results: A pCR was obtained in 14% of the evaluable patients in the TOP trial. TOP2A amplification, but not protein overexpression, was significantly associated with pCR (P ≤ .001 v P ≤ .33). We developed an anthracycline-based score (A-Score) combining three signatures: a TOP2A gene signature and two previously published signatures related to tumor invasion and immune response. The A-Score was characterized by a high negative predictive value ([NPV]; NPV, 0.98; 95% CI, 0.90 to 1.00) overall and in the human epidermal growth factor receptor 2 (HER2) –negative and HER2-positive subpopulations. Its performance was independently confirmed in the anthracycline-based arms of the two validation trials (BIG 00-01: NPV, 0.83; 95% CI, 0.64 to 0.94 and MDACC 2003-0321: NPV, 1.00; 95% CI, 0.80 to 1.00). Conclusion: Given its high NPV, the A-Score could become, if further validated, a useful clinical tool to identify those patients who do not benefit from anthracyclines and could therefore be spared the non-negligible adverse effects.

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 · 10.1200/jco.2010.31.2231

Cites

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

Cited by

See all 181

Metadata

Authors
Desmedt, C., Di Leo, A., de Azambuja, E., Larsimont, D., Haibe-Kains, B., Selleslags, J., Delaloge, S., Duhem, C., Kains, J.-P., Carly, B., Maerevoet, M., Vindevoghel, A., Rouas, G., Lallemand, F., Durbecq, V., Cardoso, F., Salgado, R., Rovere, R., Bontempi, G., Michiels, S., Buyse, M., Nogaret, J.-M., Qi, Y., Symmans, F., Pusztai, L., D'Hondt, V., Piccart-Gebhart, M., & Sotiriou, C.
Venue
Journal of Clinical Oncology
Published
2011-04-20
Volume
29
Issue
12
Pages
1578-1586
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2121733532
Cited by
181
References
0
FWCI
8.05
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: Multifactorial Approach to Predicting Resistance to Anthracyclines. https://app.cochat.ai/papers/10.1200/jco.2010.31.2231
The paper
Desmedt, C., Di Leo, A., de Azambuja, E., Larsimont, D., Haibe-Kains, B., Selleslags, J., Delaloge, S., Duhem, C., Kains, J.-P., Carly, B., Maerevoet, M., Vindevoghel, A., Rouas, G., Lallemand, F., Durbecq, V., Cardoso, F., Salgado, R., Rovere, R., Bontempi, G., . . . Sotiriou, C. (2011). Multifactorial Approach to Predicting Resistance to Anthracyclines. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2010.31.2231

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.