ArticleLeukemia2021
Clonal dominance is an adverse prognostic factor in acute myeloid leukemia treated with intensive chemotherapy.
Article in Leukemia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Splicing-associated network PAK1-CLK1/4-SRRM1 is a vulnerability to overcome chemoresistance in human and mouse acute myeloid leukemia.Science translational medicine · 2026Article
- Integrated multi-target pharmacology of ginseng in acute myeloid leukemia through single-cell sequencing, molecular docking, network pharmacology, and in vitro experiments.Discover oncology · 2026Article
- Prognostic significance of monocytic-like phenotype in patients with AML treated with venetoclax and azacytidine.Blood advances · 2025Observational
- Transplantation outcomes of TP53-mutant AML and MDS: a single transplantation center experience of 63 patients.International journal of hematology · 2025Article
- Prognostic impact of co-mutations in adults withBlood science (Baltimore, Md.) · 2025Article
- Whole-exome sequencing reveals genomic landscape of intrahepatic cholangiocarcinoma and identifies SAV1 as a potential driver.Nature communications · 2024Article
- Loss of hematopoietic progenitors heterogeneity is an adverse prognostic factor in lower-risk myelodysplastic neoplasms.Leukemia · 2024Article
- Modern Risk Stratification of Acute Myeloid Leukemia in 2023: Integrating Established and Emerging Prognostic Factors.Cancers · 2023Review
- Hematopoietic differentiation at single-cell resolution in NPM1-mutated AML.Blood cancer journal · 2022Article
- Clonal architecture predicts clinical outcomes and drug sensitivity in acute myeloid leukemia.Nature communications · 2021Article
- Evolving Therapeutic Approaches for Older Patients with Acute Myeloid Leukemia in 2021.Cancers · 2021Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intra-tumor heterogeneity portends poor outcome in many cancers. In AML, a higher number of drivers worsens prognosis. The Shannon Index is a robust metric of clonal heterogeneity that accounts for the number of clones, but also their relative abundance. We show that a Shannon Index can be estimated from bulk sequencing, which is correlated (ρ = 0.76) with clonal diversity from single-colony genotyping. In a discovery cohort of 292 patients with sequencing of 43 genes, a higher number of drivers (HR = 1.18, P = 0.028) and a lower Shannon Index (HR = 0.68, P = 0.048), the latter reflecting clonal dominance, are independently associated with worse OS independently of European LeukemiaNet 2017 risk. These findings are validated in an independent cohort of 1184 patients with 111-gene sequencing (number of drivers HR = 1.16, P = 1 × 10
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.