Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 65

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Frequent somatic TET2 mutations in chronic NK-LGL leukemia with distinct patterns of cytopenias

Olson, Thomas L., Cheon, HeeJin, Xing, Jeffrey C., Olson, Kristine C., Paila, Umadevi, Hamele, Cait E., Neelamraju, Yaseswini, Shemo, Bryna C., Schmachtenberg, Matt, Sundararaman, Shriram K., Toro, Mariella F., Keller, Cheryl A., Farber, Emily A., Onengut-Gumuscu, Suna, Garrett-Bakelman, Francine E., Hardison, Ross C., Feith, David J., Ratan, Aakrosh, Loughran, Thomas P.·2021·Blood
DOI 10.1182/blood.2020005831
Open this paper in CoChat — free account

Abstract

Chronic natural killer large granular lymphocyte (NK-LGL) leukemia, also referred to as chronic lymphoproliferative disorder of NK cells, is a rare disorder defined by prolonged expansion of clonal NK cells. Similar prevalence of STAT3 mutations in chronic T-LGL and NK-LGL leukemia is suggestive of common pathogenesis. We undertook whole-genome sequencing to identify mutations unique to NK-LGL leukemia. The results were analyzed to develop a resequencing panel that was applied to 58 patients. Phosphatidylinositol 3-kinase pathway gene mutations (PIK3CD/PIK3AP1) and TNFAIP3 mutations were seen in 5% and 10% of patients, respectively. TET2 was exceptional in that mutations were present in 16 (28%) of 58 patient samples, with evidence that TET2 mutations can be dominant and exclusive to the NK compartment. Reduced-representation bisulfite sequencing revealed that methylation patterns were significantly altered in TET2 mutant samples. The promoter of TET2 and that of PTPRD, a negative regulator of STAT3, were found to be methylated in additional cohort samples, largely confined to the TET2 mutant group. Mutations in STAT3 were observed in 19 (33%) of 58 patient samples, 7 of which had concurrent TET2 mutations. Thrombocytopenia and resistance to immunosuppressive agents were uniquely observed in those patients with only TET2 mutation (Games-Howell post hoc test, P = .0074; Fisher’s exact test, P = .00466). Patients with STAT3 mutation, inclusive of those with TET2 comutation, had lower hematocrit, hemoglobin, and absolute neutrophil count compared with STAT3 wild-type patients (Welch’s t test, P ≤ .015). We present the discovery of TET2 mutations in chronic NK-LGL leukemia and evidence that it identifies a unique molecular subtype.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1182/blood.2020005831

Cites

57 of 57 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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

Show all 57 references

Cited by

Metadata

Authors
Olson, T. L., Cheon, H., Xing, J. C., Olson, K. C., Paila, U., Hamele, C. E., Neelamraju, Y., Shemo, B. C., Schmachtenberg, M., Sundararaman, S. K., Toro, M. F., Keller, C. A., Farber, E. A., Onengut-Gumuscu, S., Garrett-Bakelman, F. E., Hardison, R. C., Feith, D. J., Ratan, A., & Loughran, T. P.
Affiliations
  • University of Virginia Cancer Center, Charlottesville, VA;
  • Center for Public Health Genomics, University of Virginia, Charlottesville; VA;
  • Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA;
  • Department of Biochemistry and Molecular Biology, Center for Computational Biology & Bioinformatics, The Pennsylvania State University, State College, PA; and
ORCID
Venue
Blood
Publisher
American Society of Hematology
Published
2021-03-30
Volume
138
Issue
8
Pages
662-673
ISSN
  • 0006-4971
  • 1528-0020
DOI
10.1182/blood.2020005831
Cited by
65
References
57
Language
en

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.