ReviewBlood2015
The hidden genomic landscape of acute myeloid leukemia: subclonal structure revealed by undetected mutations.
Review in Blood, 2015. 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.
- The potential applications of peptide-loading complex in cancer treatment.Frontiers in immunology · 2025Review
- Immune Biology of Acute Myeloid Leukemia: Implications for Immunotherapy.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021Review
- Pediatric ALL relapses after allo-SCT show high individuality, clonal dynamics, selective pressure, and druggable targets.Blood advances · 2019Article
- Before and After: Comparison of Legacy and Harmonized TCGA Genomic Data Commons' Data.Cell systems · 2019Article
- Article
- Survey and evaluation of mutations in the human KLF1 transcription unit.Scientific reports · 2018Article
- Xome-Blender: A novel cancer genome simulator.PloS one · 2018Article
- Acute Myeloid Leukemia: How Do We Measure Success?Current hematologic malignancy reports · 2016Review
- Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing data.BMC bioinformatics · 2016Article
- Regain control of p53: Targeting leukemia stem cells by isoform-specific HDAC inhibition.Experimental hematology · 2016Review
- The artful management of older patients with acute myeloid leukemia.Expert review of hematology · 2016Review
- [Current status and challenges of diagnosis and monitoring of hematologic malignancies].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The analyses carried out using 2 different bioinformatics pipelines (SomaticSniper and MuTect) on the same set of genomic data from 133 acute myeloid leukemia (AML) patients, sequenced inside the Cancer Genome Atlas project, gave discrepant results. We subsequently tested these 2 variant-calling pipelines on 20 leukemia samples from our series (19 primary AMLs and 1 secondary AML). By validating many of the predicted somatic variants (variant allele frequencies ranging from 100% to 5%), we observed significantly different calling efficiencies. In particular, despite relatively high specificity, sensitivity was poor in both pipelines resulting in a high rate of false negatives. Our findings raise the possibility that landscapes of AML genomes might be more complex than previously reported and characterized by the presence of hundreds of genes mutated at low variant allele frequency, suggesting that the application of genome sequencing to the clinic requires a careful and critical evaluation. We think that improvements in technology and workflow standardization, through the generation of clear experimental and bioinformatics guidelines, are fundamental to translate the use of next-generation sequencing from research to the clinic and to transform genomic information into better diagnosis and outcomes for the patient.
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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.