The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Single-Cell Profiling Identifies Aberrant STAT5 Activation in Myeloid Malignancies with Specific Clinical and Biologic Correlates
Open accessAbstract
Summary Progress in understanding the molecular pathogenesis of human myeloproliferative disorders (MPDs) has led to guidelines incorporating genetic assays with histopathology during diagnosis. Advances in flow cytometry have made it possible to simultaneously measure cell type and signaling abnormalities arising as a consequence of genetic pathologies. Using flow cytometry, we observed a specific evoked STAT5 signaling signature in a subset of samples from patients suspected of having juvenile myelomonocytic leukemia (JMML), an aggressive MPD with a challenging clinical presentation during active disease. This signature was a specific feature involving JAK-STAT signaling, suggesting a critical role of this pathway in the biological mechanism of this disorder and indicating potential targets for future therapies. Significance Recent advances have enabled simultaneous measurement of cell type and cell signals in primary populations using flow cytometry. This technique enables the question, "Can we track oncogenic cell populations from diagnosis through disease evolution via signaling?" Doing so in an era of using specific inhibitors against components of key signal transduction pathways will be necessary to assess treatment effects in human patients and adapt as cancer cells alter their signaling in response to these treatments. This work uses such an approach to follow patients over time and shows that disease status in juvenile myelomonocytic leukemia (JMML) -- at diagnosis, remission, relapse, and transformation -- is indicated by a subset of cells with an abnormal signaling profile.
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.
Integrity signals
Registry
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.
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
Germline KRAS mutations cause Noonan syndrome
Schubbert, S., Zenker, M., Rowe, S. L., Böll, S., Klein, C., Bollag, G., van der Burgt, I., Musante, L., Kalscheuer, V., Wehner, L.-E., et al. (2006) · Nature Genetics · doi:10.1038/ng1748 · Cited by 730
Self-citationBraun, B. S., Tuveson, D. A., Kong, N., Le, D. T., Kogan, S. C., Rozmus, J., Le Beau, M. M., Jacks, T. E., & Shannon, K. M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307203101 · Cited by 299
Self-citationChan, I. T., Kutok, J. L., Williams, I. R., Cohen, S., Kelly, L., Shigematsu, H., Johnson, L., Akashi, K., Tuveson, D. A., Jacks, T., et al. (2004) · Journal of Clinical Investigation · doi:10.1172/jci20476 · Cited by 270
Hematopoietic cytokine receptor signaling
Baker, S. J., Rane, S. G., & Reddy, E. P. (2007) · Oncogene · doi:10.1038/sj.onc.1210757 · Cited by 256
Cited by
Bendall, S. C., Simonds, E. F., Qiu, P., Amir, E.-A. D., Krutzik, P. O., Finck, R., Bruggner, R. V., Melamed, R., Trejo, A., Ornatsky, O. I., et al. (2011) · Science · doi:10.1126/science.1198704 · Cited by 2,279
Self-citationMa, C., Fan, R., Ahmad, H., Shi, Q., Comin-Anduix, B., Chodon, T., Koya, R. C., Liu, C.-C., Kwong, G. A., Radu, C. G., et al. (2011) · Nature Medicine · doi:10.1038/nm.2375 · Cited by 441
“Thus, a comprehensive characterization of the multifunctional phenotypes of single immune cells could provide both fundamental immunobiological information and clinically relevant dat”
Targeting CD137 enhances the efficacy of cetuximab
Kohrt, H. E., Colevas, A. D., Houot, R., Weiskopf, K., Goldstein, M. J., Lund, P., Mueller, A., Sagiv-Barfi, I., Marabelle, A., Lira, R., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci73014 · Cited by 160
RetractedStructure and function of Gab2 and its role in cancer (Review)
DING, C.-B., YU, W.-N., FENG, J.-H., & LUO, J.-M. (2015) · Molecular Medicine Reports · doi:10.3892/mmr.2015.3951 · Cited by 71
Metadata
- Authors
- Kotecha, N., Flores, N. J., Irish, J. M., Simonds, E. F., Sakai, D. S., Archambeault, S., Diaz-Flores, E., Coram, M., Shannon, K. M., Nolan, G. P., & Loh, M. L.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2008-10
- Volume
- 14
- Issue
- 4
- Pages
- 335-343
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2101587340
- Cited by
- 233
- References
- 4
- FWCI
- 11.07
- 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: Single-Cell Profiling Identifies Aberrant STAT5 Activation in Myeloid Malignancies with Specific Clinical and Biologic Correlates. https://app.cochat.ai/papers/10.1016/j.ccr.2008.08.014
- The paper
- Kotecha, N., Flores, N. J., Irish, J. M., Simonds, E. F., Sakai, D. S., Archambeault, S., Diaz-Flores, E., Coram, M., Shannon, K. M., Nolan, G. P., & Loh, M. L. (2008). Single-Cell Profiling Identifies Aberrant STAT5 Activation in Myeloid Malignancies with Specific Clinical and Biologic Correlates. Cancer Cell. https://doi.org/10.1016/j.ccr.2008.08.014
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.