The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
DNA Methylation Predicts Survival and Response to Therapy in Patients With Myelodysplastic Syndromes
Open accessAbstract
Purpose: The current classification systems of myelodysplastic syndromes (MDS), including the International Prognostic Scoring System (IPSS), do not fully reflect the molecular heterogeneity of the disease. Molecular characterization may predict clinical outcome and help stratify patients for targeted therapies. Epigenetic therapy using decitabine, a DNA hypomethylating agent, is clinically effective for the treatment of MDS. Therefore, we investigated the association between DNA methylation and clinical outcome in MDS. Patients and Methods: We screened 24 patients with MDS for promoter CpG island methylation of 24 genes and identified aberrant hypermethylation at 10 genes. We then performed quantitative methylation analyses by bisulfite pyrosequencing of the identified genes in 317 patient samples from three independent studies and assessed relations between methylation and clinical outcome. Results: In an initial training cohort of 89 patients with MDS, methylation frequencies of individual genes ranged from 7% to 70% and were highly concordant. Therefore, we defined a methylation z score based on all genes for each patient. We found that patients with higher levels of methylation, compared with patients with lower levels, had a shorter median overall survival (12.3 v 17.5 months, respectively; P = .04) and shorter median progression-free survival (6.4 v 14.9 months, respectively; P = .009). This methylation prognostic model was independent of age, sex, and IPSS group. Applied to two validation cohorts (228 patients), this model was confirmed as an independent prognostic predictor for survival. Although methylation at baseline did not correlate with clinical response to decitabine, we observed a significant correlation between reduced methylation over time and clinical responses. Conclusion: DNA methylation predicts overall and progression-free survival in MDS.
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
The fundamental role of epigenetic events in cancer
Jones, P. A., & Baylin, S. B. (2002) · Nature Reviews Genetics · doi:10.1038/nrg816 · Cited by 5,648
CpG island methylator phenotype in colorectal cancer
Toyota, M., Ahuja, N., Ohe-Toyota, M., Herman, J. G., Baylin, S. B., & Issa, J.-P. J. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.15.8681 · Cited by 2,523
Self-citationKantarjian, H., Issa, J. J., Rosenfeld, C. S., Bennett, J. M., Albitar, M., DiPersio, J., Klimek, V., Slack, J., de Castro, C., Ravandi, F., et al. (2006) · Cancer · doi:10.1002/cncr.21792 · Cited by 1,530
Self-citationAnalysis of Microarray Data Using Z Score Transformation
Cheadle, C., Vawter, M. P., Freed, W. J., & Becker, K. G. (2003) · The Journal of Molecular Diagnostics · doi:10.1016/s1525-1578(10)60455-2 · Cited by 1,146
Jones, R. (2002) · Nature Reviews Genetics · doi:10.1038/nrg962 · Cited by 828
Haase, D., Germing, U., Schanz, J., Pfeilstöcker, M., Nösslinger, T., Hildebrandt, B., Kundgen, A., Lübbert, M., Kunzmann, R., Giagounidis, A. A. N., et al. (2007) · Blood · doi:10.1182/blood-2007-03-082404 · Cited by 794
Kantarjian, H., Oki, Y., Garcia-Manero, G., Huang, X., O'Brien, S., Cortes, J., Faderl, S., Bueso-Ramos, C., Ravandi, F., Estrov, Z., et al. (2007) · Blood · doi:10.1182/blood-2006-05-021162 · Cited by 685
Self-citationAberrant methylation in gastric cancer associated with the CpG island methylator phenotype.
Toyota, M., Ahuja, N., Suzuki, H., Itoh, F., Ohe-Toyota, M., Imai, K., Baylin, S. B., & Issa, J. J. (1999) · PubMed · Cited by 530
Self-citationSensitive and quantitative universal Pyrosequencing™ methylation analysis of CpG sites
Colella, S., Shen, L., Baggerly, K. A., Issa, J.-P. J., & Krahe, R. (2003) · BioTechniques · doi:10.2144/03351md01 · Cited by 514
Self-citationValent, P., Horny, H.-P., Bennett, J. M., Fonatsch, C., Germing, U., Greenberg, P., Haferlach, T., Haase, D., Kolb, H.-J., Krieger, O., et al. (2007) · Leukemia Research · doi:10.1016/j.leukres.2006.11.009 · Cited by 513
Cited by
Palumbo, A., & Anderson, K. (2011) · New England Journal of Medicine · doi:10.1056/nejmra1011442 · Cited by 2,326
TP53 and Decitabine in Acute Myeloid Leukemia and Myelodysplastic Syndromes
Welch, J. S., Petti, A. A., Miller, C. A., Fronick, C. C., O’Laughlin, M., Fulton, R. S., Wilson, R. K., Baty, J. D., Duncavage, E. J., Tandon, B., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1605949 · Cited by 796
Dnmt3a and Dnmt3b have overlapping and distinct functions in hematopoietic stem cells
Challen, G. A., Sun, D., Mayle, A., Jeong, M., Luo, M., Rodriguez, B., Mallaney, C., Celik, H., Yang, L., Xia, Z., et al. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.06.018 · Cited by 354
Song, S. J., Ito, K., Ala, U., Kats, L., Webster, K., Sun, S. M., Jongen-Lavrencic, M., Manova-Todorova, K., Teruya-Feldstein, J., Avigan, D. E., et al. (2013) · Cell Stem Cell · doi:10.1016/j.stem.2013.06.003 · Cited by 326
Unraveling the Molecular Pathophysiology of Myelodysplastic Syndromes
Bejar, R., Levine, R., & Ebert, B. L. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2010.31.1175 · Cited by 305
Metadata
- Authors
- Shen, L., Kantarjian, H., Guo, Y., Lin, E., Shan, J., Huang, X., Berry, D., Ahmed, S., Zhu, W., Pierce, S., Kondo, Y., Oki, Y., Jelinek, J., Saba, H., Estey, E., & Issa, J.-P. J.
- Venue
- Journal of Clinical Oncology
- Published
- 2010-02-01
- Volume
- 28
- Issue
- 4
- Pages
- 605-613
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2166506757
- Cited by
- 355
- References
- 31
- FWCI
- 19.61
- 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: DNA Methylation Predicts Survival and Response to Therapy in Patients With Myelodysplastic Syndromes. https://app.cochat.ai/papers/10.1200/jco.2009.23.4781
- The paper
- Shen, L., Kantarjian, H., Guo, Y., Lin, E., Shan, J., Huang, X., Berry, D., Ahmed, S., Zhu, W., Pierce, S., Kondo, Y., Oki, Y., Jelinek, J., Saba, H., Estey, E., & Issa, J.-P. J. (2010). DNA Methylation Predicts Survival and Response to Therapy in Patients With Myelodysplastic Syndromes. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2009.23.4781
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.
