Evidence map›Paper›PMID 32640014›Full record

ArticleBlood2020

Single-cell genomics reveals the genetic and molecular bases for escape from mutational epistasis in myeloid neoplasms.

Justin Taylor, Xiaoli Mi, Khrystyna North, Moritz Binder, Alexander Penson, Terra Lasho, Katherine Knorr, Michael Haddadin, Bo Liu, Joseph Pangallo and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. RNA Splicing as a Therapeutic Target in Cancer.Annual review of pharmacology and toxicology · 2026
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  15. Competition of dualBlood neoplasia · 2024
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  17. Heterogeneity of platelets and their responses.Research and practice in thrombosis and haemostasis · 2024
    Article
  18. Life science alliance · 2023
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  19. Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 3 countries.

Justin TaylorHuman Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY.
Xiaoli MiHuman Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY.
Khrystyna NorthDivision of Public Health Sciences and.
Moritz BinderMayo Clinic Cancer Center, Rochester, MN.
Alexander PensonHuman Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY.
Terra LashoMayo Clinic Cancer Center, Rochester, MN.
Katherine KnorrHuman Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY.
Michael HaddadinHuman Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY.
Bo LiuHuman Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY.
Joseph PangalloDivision of Public Health Sciences and.
Salima BenbarcheHuman Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY.
Daniel WisemanDivision of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
Ayalew TefferiMayo Clinic Cancer Center, Rochester, MN.
Stephanie HaleneSection of Hematology, Department of Internal Medicine and.
Yang LiangState Key Laboratory of Oncology in South China, Department of Hematologic Oncology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Peoples Republic of China.
Mrinal M PatnaikMayo Clinic Cancer Center, Rochester, MN.
Robert K BradleyDivision of Public Health Sciences and.
Omar Abdel-WahabHuman Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY.
Memorial Sloan Kettering Cancer Center · USMayo Clinic · USUniversity of Washington · USFred Hutch Cancer Center · USSun Yat-sen University · CNUniversity of Manchester · GBYale Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Genetic and molecular basis for SRSF2 mutations in myelodysplasiaR01HL128239 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Omar Abdel-Wahab, Robert K Bradley · 2015 to 2026
$8.0M
Interrogating the minor spliceosome to understand and treat leukemiaR01CA251138 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ABDEL-WAHAB, OMAR, BRADLEY, ROBERT K · 2020 to 2024
$3.3M
Targeting an RNA Binding Protein Network in Acute Myeloid LeukemiaR01CA242020 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ABDEL-WAHAB, OMAR, AIFANTIS, IANNIS · 2020 to 2024
$2.7M
U2AF1 mutations in myelodysplastic syndromes: from mechanism to therapyR01DK103854 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, ROBERT K · 2016 to 2019
$1.5M
The role of mutant splicing factor SRSF2 in MyelodysplasiaR01DK102792 · NIDDK · YALE UNIVERSITY · PI HALENE, STEPHANIE · 2016 to 2019
$1.5M
Defining the Biological and Mechanistic Implications of XPO1 Mutations in Hematologic MalignanciesK08CA230319 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI TAYLOR, JUSTIN · 2018 to 2023
$1.2M
NCATS NIH HHS UL1 TR001863NCI NIH HHS K08 CA230319NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA242020NCI NIH HHS R01 CA251138NHLBI NIH HHS R01 HL128239NIDDK NIH HHS R01 DK102792NIDDK NIH HHS R01 DK103854
6 · The paper itself

Abstract

Large-scale sequencing studies of hematologic malignancies have revealed notable epistasis among high-frequency mutations. One of the most striking examples of epistasis occurs for mutations in RNA splicing factors. These lesions are among the most common alterations in myeloid neoplasms and generally occur in a mutually exclusive manner, a finding attributed to their synthetic lethal interactions and/or convergent effects. Curiously, however, patients with multiple-concomitant splicing factor mutations have been observed, challenging our understanding of one of the most common examples of epistasis in hematologic malignancies. In this study, we performed bulk and single-cell analyses of patients with myeloid malignancy who were harboring ≥2 splicing factor mutations, to understand the frequency and basis for the coexistence of these mutations. Although mutations in splicing factors were strongly mutually exclusive across 4231 patients (q < .001), 0.85% harbored 2 concomitant bona fide splicing factor mutations, ∼50% of which were present in the same individual cells. However, the distribution of mutations in patients with double mutations deviated from that in those with single mutations, with selection against the most common alleles, SF3B1K700E and SRSF2P95H/L/R, and selection for less common alleles, such as SF3B1 non-K700E mutations, rare amino acid substitutions at SRSF2P95, and combined U2AF1S34/Q157 mutations. SF3B1 and SRSF2 alleles enriched in those with double-mutations had reduced effects on RNA splicing and/or binding compared with the most common alleles. Moreover, dual U2AF1 mutations occurred in cis with preservation of the wild-type allele. These data highlight allele-specific differences as critical in regulating the molecular effects of splicing factor mutations as well as their cooccurrences/exclusivities with one another.

Indexed as

Epistasis, GeneticMutationRNA SplicingAllelesDNA Mutational AnalysisGenomicsHematologic NeoplasmsHumansLeukemia, MyeloidRNA Splicing FactorsSingle-Cell AnalysisRNA Splicing Factors

Identifiers

PMID32640014
PMCPMC7515689
OpenAlexW3041834824

What OpenQuestion holds

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Registered trials

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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.