Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 535

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Diverse and Targetable Kinase Alterations Drive Histiocytic Neoplasms

Open access
Diamond, Eli L., Durham, Benjamin H., Haroche, Julien, Yao, Zhan, Ma, Jing, Parikh, Sameer A., Wang, Zhaoming, Choi, John, Kim, Eunhee, Cohen-Aubart, Fleur, Lee, Stanley Chun-Wei, Gao, Yijun, Micol, Jean-Baptiste, Campbell, Patrick, Walsh, Michael P., Sylvester, Brooke, Dolgalev, Igor, Aminova, Olga, Heguy, Adriana, Zappile, Paul, Nakitandwe, Joy, Ganzel, Chezi, Dalton, James D., Ellison, David W., Estrada-Veras, Juvianee, Lacouture, Mario, Gahl, William A., Stephens, Philip J., Miller, Vincent A., Ross, Jeffrey S., Ali, Siraj M., Briggs, Samuel R., Fasan, Omotayo, Block, Jared, Héritier, Sebastien, Donadieu, Jean, Solit, David B., Hyman, David M., Baselga, José, Janku, Filip, Taylor, Barry S., Park, Christopher Y., Amoura, Zahir, Dogan, Ahmet, Emile, Jean-Francois, Rosen, Neal, Gruber, Tanja A., Abdel-Wahab, Omar·2016·Cancer Discovery

Abstract

Histiocytic neoplasms are clonal, hematopoietic disorders characterized by an accumulation of abnormal, monocyte-derived dendritic cells or macrophages in Langerhans cell histiocytosis (LCH) and non-Langerhans cell histiocytosis (non-LCH), respectively. The discovery of BRAFV600E mutations in approximately 50% of these patients provided the first molecular therapeutic target in histiocytosis. However, recurrent driving mutations in the majority of patients with BRAFV600E–wild-type non-LCH are unknown, and recurrent cooperating mutations in non-MAP kinase pathways are undefined for the histiocytic neoplasms. Through combined whole-exome and transcriptome sequencing, we identified recurrent kinase fusions involving BRAF, ALK, and NTRK1, as well as recurrent, activating MAP2K1 and ARAF mutations in patients with BRAFV600E–wild-type non-LCH. In addition to MAP kinase pathway lesions, recurrently altered genes involving diverse cellular pathways were identified. Treatment of patients with MAP2K1- and ARAF-mutated non-LCH using MEK and RAF inhibitors, respectively, resulted in clinical efficacy, demonstrating the importance of detecting and targeting diverse kinase alterations in these disorders. Significance: We provide the first description of kinase fusions in systemic histiocytic neoplasms and activating ARAF and MAP2K1 mutations in non-Langerhans histiocytic neoplasms. Refractory patients with MAP2K1- and ARAF-mutant histiocytoses had clinical responses to MEK inhibition and sorafenib, respectively, highlighting the importance of comprehensive genomic analysis of these disorders. Cancer Discov; 6(2); 154–65. ©2015 AACR. This article is highlighted in the In This Issue feature, p. 109

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-15-0913

Cites

15 of 15 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 15 references

Cited by

See all 535

Metadata

Authors
Diamond, E. L., Durham, B. H., Haroche, J., Yao, Z., Ma, J., Parikh, S. A., Wang, Z., Choi, J., Kim, E., Cohen-Aubart, F., Lee, S. C.-W., Gao, Y., Micol, J.-B., Campbell, P., Walsh, M. P., Sylvester, B., Dolgalev, I., Aminova, O., Heguy, A., Zappile, P., Nakitandwe, J., Ganzel, C., Dalton, J. D., Ellison, D. W., Estrada-Veras, J., Lacouture, M., Gahl, W. A., Stephens, P. J., Miller, V. A., Ross, J. S., Ali, S. M., Briggs, S. R., Fasan, O., Block, J., Héritier, S., Donadieu, J., Solit, D. B., Hyman, D. M., Baselga, J., Janku, F., Taylor, B. S., Park, C. Y., Amoura, Z., Dogan, A., Emile, J.-F., Rosen, N., Gruber, T. A., & Abdel-Wahab, O.
Venue
Cancer Discovery
Published
2016-02-01
Volume
6
Issue
2
Pages
154-165
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W2234683072
Cited by
535
References
15
FWCI
22.81
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: Diverse and Targetable Kinase Alterations Drive Histiocytic Neoplasms. https://app.cochat.ai/papers/10.1158/2159-8290.cd-15-0913
The paper
Diamond, E. L., Durham, B. H., Haroche, J., Yao, Z., Ma, J., Parikh, S. A., Wang, Z., Choi, J., Kim, E., Cohen-Aubart, F., Lee, S. C.-W., Gao, Y., Micol, J.-B., Campbell, P., Walsh, M. P., Sylvester, B., Dolgalev, I., Aminova, O., Heguy, A., . . . Abdel-Wahab, O. (2016). Diverse and Targetable Kinase Alterations Drive Histiocytic Neoplasms. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-15-0913

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.