Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,946

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Prognostic Relevance of Integrated Genetic Profiling in Acute Myeloid Leukemia

Open access
Patel, Jay P., Gönen, Mithat, Figueroa, Maria E., Fernandez, Hugo, Sun, Zhuoxin, Racevskis, Janis, Van Vlierberghe, Pieter, Dolgalev, Igor, Thomas, Sabrena, Aminova, Olga, Huberman, Kety, Cheng, Janice, Viale, Agnes, Socci, Nicholas D., Heguy, Adriana, Cherry, Athena, Vance, Gail, Higgins, Rodney R., Ketterling, Rhett P., Gallagher, Robert E., Litzow, Mark, van den Brink, Marcel R.M., Lazarus, Hillard M., Rowe, Jacob M., Luger, Selina, Ferrando, Adolfo, Paietta, Elisabeth, Tallman, Martin S., Melnick, Ari, Abdel-Wahab, Omar, Levine, Ross L.·2012·New England Journal of Medicine

Abstract

BACKGROUND: Acute myeloid leukemia (AML) is a heterogeneous disease with respect to presentation and clinical outcome. The prognostic value of recently identified somatic mutations has not been systematically evaluated in a phase 3 trial of treatment for AML. METHODS: We performed a mutational analysis of 18 genes in 398 patients younger than 60 years of age who had AML and who were randomly assigned to receive induction therapy with high-dose or standard-dose daunorubicin. We validated our prognostic findings in an independent set of 104 patients. RESULTS: We identified at least one somatic alteration in 97.3% of the patients. We found that internal tandem duplication in FLT3 (FLT3-ITD), partial tandem duplication in MLL (MLL-PTD), and mutations in ASXL1 and PHF6 were associated with reduced overall survival (P=0.001 for FLT3-ITD, P=0.009 for MLL-PTD, P=0.05 for ASXL1, and P=0.006 for PHF6); CEBPA and IDH2 mutations were associated with improved overall survival (P=0.05 for CEBPA and P=0.01 for IDH2). The favorable effect of NPM1 mutations was restricted to patients with co-occurring NPM1 and IDH1 or IDH2 mutations. We identified genetic predictors of outcome that improved risk stratification among patients with AML, independently of age, white-cell count, induction dose, and post-remission therapy, and validated the significance of these predictors in an independent cohort. High-dose daunorubicin, as compared with standard-dose daunorubicin, improved the rate of survival among patients with DNMT3A or NPM1 mutations or MLL translocations (P=0.001) but not among patients with wild-type DNMT3A, NPM1, and MLL (P=0.67). CONCLUSIONS: We found that DNMT3A and NPM1 mutations and MLL translocations predicted an improved outcome with high-dose induction chemotherapy in patients with AML. These findings suggest that mutational profiling could potentially be used for risk stratification and to inform prognostic and therapeutic decisions regarding patients with AML. (Funded by the National Cancer Institute and others.).

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 · 10.1056/nejmoa1112304

Cites

7 of 7 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 7 references

Cited by

See all 1,946

Metadata

Authors
Patel, J. P., Gönen, M., Figueroa, M. E., Fernandez, H., Sun, Z., Racevskis, J., Van Vlierberghe, P., Dolgalev, I., Thomas, S., Aminova, O., Huberman, K., Cheng, J., Viale, A., Socci, N. D., Heguy, A., Cherry, A., Vance, G., Higgins, R. R., Ketterling, R. P., Gallagher, R. E., Litzow, M., van den Brink, M. R. M., Lazarus, H. M., Rowe, J. M., Luger, S., Ferrando, A., Paietta, E., Tallman, M. S., Melnick, A., Abdel-Wahab, O., & Levine, R. L.
Venue
New England Journal of Medicine
Published
2012-03-22
Volume
366
Issue
12
Pages
1079-1089
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2115707319
Cited by
1,946
References
7
FWCI
122.35
Type
journal article
Language
en
Open access
bronze

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: Prognostic Relevance of Integrated Genetic Profiling in Acute Myeloid Leukemia. https://app.cochat.ai/papers/10.1056/nejmoa1112304
The paper
Patel, J. P., Gönen, M., Figueroa, M. E., Fernandez, H., Sun, Z., Racevskis, J., Van Vlierberghe, P., Dolgalev, I., Thomas, S., Aminova, O., Huberman, K., Cheng, J., Viale, A., Socci, N. D., Heguy, A., Cherry, A., Vance, G., Higgins, R. R., Ketterling, R. P., . . . Levine, R. L. (2012). Prognostic Relevance of Integrated Genetic Profiling in Acute Myeloid Leukemia. New England Journal of Medicine. https://doi.org/10.1056/nejmoa1112304

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.