The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Chromosome translocations and covert leukemic clones are generated during normal fetal development
Open accessAbstract
Studies on monozygotic twins with concordant leukemia and retrospective scrutiny of neonatal blood spots of patients with leukemia indicate that chromosomal translocations characteristic of pediatric leukemia often arise prenatally, probably as initiating events. The modest concordance rate for leukemia in identical twins (≈5%), protracted latency, and transgenic modeling all suggest that additional postnatal exposure and/or genetic events are required for clinically overt leukemia development. This notion leads to the prediction that chromosome translocations, functional fusion genes, and preleukemic clones should be present in the blood of healthy newborns at a rate that is significantly greater than the cumulative risk of the corresponding leukemia. Using parallel reverse transcriptase–PCR and real-time PCR (Taqman) screening, we find that the common leukemia fusion genes, TEL-AML1 or AML1-ETO , are present in cord bloods at a frequency that is 100-fold greater than the risk of the corresponding leukemia. Single-cell analysis by cell enrichment and immunophenotype/fluorescence in situ hybridization multicolor staining confirmed the presence of translocations in restricted cell types corresponding to the B lymphoid or myeloid lineage of the leukemias that normally harbor these fusion genes. The frequency of positive cells (10 −4 to 10 −3 ) indicates substantial clonal expansion of a progenitor population. These data have significant implications for the pathogenesis, natural history, and etiology of childhood leukemia.
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
High frequency of t(12;21) in childhood B-lineage acute lymphoblastic leukemia
Romana, S., Poirel, H., Leconiat, M., Flexor, M., Mauchauffe, M., Jonveaux, P., Macintyre, E., Berger, R., & Bernard, O. (1995) · Blood · doi:10.1182/blood.v86.11.4263.bloodjournal86114263 · Cited by 427
Cited by
LMO2 -Associated Clonal T Cell Proliferation in Two Patients after Gene Therapy for SCID-X1
Hacein-Bey-Abina, S., Von Kalle, C., Schmidt, M., McCormack, M. P., Wulffraat, N., Leboulch, P., Lim, A., Osborne, C. S., Pawliuk, R., Morillon, E., et al. (2003) · Science · doi:10.1126/science.1088547 · Cited by 3,587
Greaves, M., & Maley, C. C. (2012) · Nature · doi:10.1038/nature10762 · Cited by 3,162
Self-citationPui, C.-H., Robison, L. L., & Look, A. T. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60457-2 · Cited by 1,564
Inaba, H., Greaves, M., & Mullighan, C. G. (2013) · The Lancet · doi:10.1016/s0140-6736(12)62187-4 · Cited by 1,074
Self-citationThe RUNX family: developmental regulators in cancer
Ito, Y., Bae, S.-C., & Chuang, L. S. H. (2015) · Nature Reviews Cancer · doi:10.1038/nrc3877 · Cited by 399
Age-related somatic structural changes in the nuclear genome of human blood cells
Forsberg, L. A., Rasi, C., Razzaghian, H. R., Pakalapati, G., Waite, L., Thilbeault, K. S., Ronowicz, A., Wineinger, N. E., Tiwari, H. K., Boomsma, D., et al. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.12.009 · Cited by 176
Acute myeloid leukaemia: a paradigm for the clonal evolution of cancer?
Grove, C. S., & Vassiliou, G. S. (2014) · Disease Models & Mechanisms · doi:10.1242/dmm.015974 · Cited by 172
Lymphoma‐ and leukemia‐associated chromosomal translocations in healthy individuals
Janz, S., Potter, M., & Rabkin, C. S. (2003) · Genes, Chromosomes and Cancer · doi:10.1002/gcc.10178 · Cited by 149
Ink4a/Arf links senescence and aging
Sharpless, N. E. (2004) · Experimental Gerontology · doi:10.1016/j.exger.2004.06.025 · Cited by 142
An intact gut microbiome protects genetically predisposed mice against leukemia
Vicente-Dueñas, C., Janssen, S., Oldenburg, M., Auer, F., González-Herrero, I., Casado-García, A., Isidro-Hernández, M., Raboso-Gallego, J., Westhoff, P., Pandyra, A. A., et al. (2020) · Blood · doi:10.1182/blood.2019004381 · Cited by 106
Personalized Cancer Risk Assessments for Space Radiation Exposures
Locke, P. A., & Weil, M. M. (2016) · Frontiers in Oncology · doi:10.3389/fonc.2016.00038 · Cited by 20
Metadata
- Authors
- Mori, H., Colman, S. M., Xiao, Z., Ford, A. M., Healy, L. E., Donaldson, C., Hows, J. M., Navarrete, C., & Greaves, M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-06-04
- Volume
- 99
- Issue
- 12
- Pages
- 8242-8247
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2120723555
- Cited by
- 615
- References
- 1
- FWCI
- 32.32
- 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
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.