The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Promoter hypermethylation of cancer-related genes: a strong independent prognostic factor in acute lymphoblastic leukemia
Open accessAbstract
Promoter hypermethylation plays an important role in the inactivation of cancer-related genes. This abnormality occurs early in leukemogenesis and seems to be associated with poor prognosis in acute lymphoblastic leukemia (ALL). To determine the extent of hypermethylation in ALL, we analyzed the methylation status of the CDH1, p73, p16, p15, p57, NES-1, DKK-3, CDH13, p14, TMS-1, APAF-1, DAPK, PARKIN, LATS-1, and PTEN genes in 251 consecutive ALL patients. A total of 77.3% of samples had at least 1 gene methylated, whereas 35.9% of cases had 4 or more genes methylated. Clinical features and complete remission rate did not differ among patients without methylated genes, patients with 1 to 3 methylated genes (methylated group A), or patients with more than 3 methylated genes (methylated group B). Estimated disease-free survival (DFS) and overall survival (OS) at 11 years were 75.5% and 66.1%, respectively, for the nonmethylated group; 37.2% and 45.5% for methylated group A; and 9.4% and 7.8% for methylated group B (P < .0001 and P = .0004, respectively). Multivariate analysis demonstrated that the methylation profile was an independent prognostic factor in predicting DFS (P < .0001) and OS (P = .003). Our results suggest that the methylation profile may be a potential new biomarker of risk prediction in ALL.
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
DNA methylation patterns and epigenetic memory
Bird, A. (2002) · Genes & Development · doi:10.1101/gad.947102 · Cited by 7,124
Cited by
Pten dependence distinguishes haematopoietic stem cells from leukaemia-initiating cells
Yilmaz, Ö. H., Valdez, R., Theisen, B. K., Guo, W., Ferguson, D. O., Wu, H., & Morrison, S. J. (2006) · Nature · doi:10.1038/nature04703 · Cited by 1,113
Laird, P. W. (2005) · Human Molecular Genetics · doi:10.1093/hmg/ddi113 · Cited by 398
Hino, R., Uozaki, H., Murakami, N., Ushiku, T., Shinozaki, A., Ishikawa, S., Morikawa, T., Nakaya, T., Sakatani, T., Takada, K., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-3070 · Cited by 344
Loss of Tumor Suppressor Gene Function in Human Cancer: An Overview
Wang, L.-H., Wu, C.-F., Rajasekaran, N., & Shin, Y. K. (2018) · Cellular Physiology and Biochemistry · doi:10.1159/000495956 · Cited by 334
Kuang, S.-Q., Tong, W.-G., Yang, H., Lin, W., Lee, M. K., Fang, Z. H., Wei, Y., Jelinek, J., Issa, J.-P., & Garcia-Manero, G. (2008) · Leukemia · doi:10.1038/leu.2008.130 · Cited by 165
Metadata
- Authors
- Roman-Gomez, J., Jimenez-Velasco, A., Castillejo, J. A., Agirre, X., Barrios, M., Navarro, G., Molina, F. J., Calasanz, M. J., Prosper, F., Heiniger, A., & Torres, A.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2004-10-15
- Volume
- 104
- Issue
- 8
- Pages
- 2492-2498
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W1575135707
- Cited by
- 208
- References
- 1
- FWCI
- 19.47
- Type
- journal article
- Language
- en
- Status
- Retracted
- 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: Promoter hypermethylation of cancer-related genes: a strong independent prognostic factor in acute lymphoblastic leukemia. https://app.cochat.ai/papers/10.1182/blood-2004-03-0954
- The paper
- Roman-Gomez, J., Jimenez-Velasco, A., Castillejo, J. A., Agirre, X., Barrios, M., Navarro, G., Molina, F. J., Calasanz, M. J., Prosper, F., Heiniger, A., & Torres, A. (2004). Promoter hypermethylation of cancer-related genes: a strong independent prognostic factor in acute lymphoblastic leukemia. Blood. https://doi.org/10.1182/blood-2004-03-0954
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.