The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Acute myeloid leukemia with complex karyotypes and abnormal chromosome 21: Amplification discloses overexpression of APP , ETS2 , and ERG genes
Open accessAbstract
Molecular mechanisms of leukemogenesis have been successfully unraveled by studying genes involved in simple rearrangements including balanced translocations and inversions. In contrast, little is known about genes altered in complex karyotypic abnormalities. We studied acute myeloid leukemia (AML) patients with complex karyotypes and abnormal chromosome 21. High-resolution bacterial artificial chromosome (BAC) array-based comparative genomic hybridization disclosed amplification predominantly in the 25- to 30-megabase (MB) region that harbors the APP gene (26.3 MB) and at position 38.7-39.1 MB that harbors the transcription factors ERG and ETS2 . Using oligonucleotide arrays, APP was by far the most overexpressed gene (mean fold change 19.74, P = 0.0003) compared to a control group of AML with normal cytogenetics; ERG and ETS2 also ranked among the most highly expressed chromosome 21 genes. Overexpression of APP and ETS2 correlated with genomic amplification, but high APP expression occurred even in a subset of AML patients with normal cytogenetics (10 of 64, 16%). APP encodes a glycoprotein of unknown function previously implicated in Alzheimer's disease, but not in AML. We hypothesize that APP and the transcription factors ERG and ETS2 are altered by yet unknown molecular mechanisms involved in leukemogenesis. Our results highlight the value of molecularly dissecting leukemic cells with complex karyotypes.
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
Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection.
Li, C., & Wong, W. H. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.1.31 · Cited by 3,133
Song, W.-J., Sullivan, M. G., Legare, R. D., Hutchings, S., Tan, X., Kufrin, D., Ratajczak, J., Resende, I. C., Haworth, C., Hock, R., et al. (1999) · Nature Genetics · doi:10.1038/13793 · Cited by 1,100
Cited by
ETS transcription factors and their emerging roles in human cancer
Seth, A., & Watson, D. K. (2005) · European Journal of Cancer · doi:10.1016/j.ejca.2005.08.013 · Cited by 469
Metzeler, K. H., Maharry, K., Radmacher, M. D., Mrózek, K., Margeson, D., Becker, H., Curfman, J., Holland, K. B., Schwind, S., Whitman, S. P., et al. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2010.32.7742 · Cited by 280
Self-citationLoughran, S. J., Kruse, E. A., Hacking, D. F., de Graaf, C. A., Hyland, C. D., Willson, T. A., Henley, K. J., Ellis, S., Voss, A. K., Metcalf, D., et al. (2008) · Nature Immunology · doi:10.1038/ni.1617 · Cited by 269
Metadata
- Authors
- Baldus, C. D., Liyanarachchi, S., Mrózek, K., Auer, H., Tanner, S. M., Guimond, M., Ruppert, A. S., Mohamed, N., Davuluri, R. V., Caligiuri, M. A., Bloomfield, C. D., & de la Chapelle, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2004-03-08
- Volume
- 101
- Issue
- 11
- Pages
- 3915-3920
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2137991845
- Cited by
- 173
- References
- 2
- FWCI
- 7.55
- 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: Acute myeloid leukemia with complex karyotypes and abnormal chromosome 21: Amplification discloses overexpression of APP , ETS2 , and ERG genes. https://app.cochat.ai/papers/10.1073/pnas.0400272101
- The paper
- Baldus, C. D., Liyanarachchi, S., Mrózek, K., Auer, H., Tanner, S. M., Guimond, M., Ruppert, A. S., Mohamed, N., Davuluri, R. V., Caligiuri, M. A., Bloomfield, C. D., & de la Chapelle, A. (2004). Acute myeloid leukemia with complex karyotypes and abnormal chromosome 21: Amplification discloses overexpression of APP , ETS2 , and ERG genes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0400272101
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.