Evidence map›Paper›PMID 35821208›Full record

ArticleNature communications2022

Ultra-sensitive monitoring of leukemia patients using superRCA mutation detection assays.

Lei Chen, Anna Eriksson, Simone Weström, Tatjana Pandzic, Sören Lehmann, Lucia Cavelier, Ulf Landegren

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. SuperRCA assay ofThe journal of allergy and clinical immunology. Global · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Lei ChenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-752 37, Uppsala, Sweden. lei.chen@raritybioscience.com.ORCID 0000-0002-5226-1427
Anna ErikssonDepartment of Medical Sciences, Uppsala University, SE-751 05, Uppsala, Sweden.
Simone WeströmDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-752 37, Uppsala, Sweden.
Tatjana PandzicDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-752 37, Uppsala, Sweden.
Sören LehmannDepartment of Medical Sciences, Uppsala University, SE-751 05, Uppsala, Sweden.
Lucia CavelierDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-752 37, Uppsala, Sweden.
Ulf LandegrenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-752 37, Uppsala, Sweden. ulf.landegren@igp.uu.se.ORCID 0000-0002-7820-1000
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare tumor-specific mutations in patient samples serve as excellent markers to monitor the course of malignant disease and responses to therapy in clinical routine, and improved assay techniques are needed for broad adoption. We describe herein a highly sensitive and selective molecule amplification technology - superRCA assays - for rapid and highly specific detection of DNA sequence variants present at very low frequencies in DNA samples. Using a standard flow cytometer we demonstrate precise, ultra-sensitive detection of single-nucleotide mutant sequences from malignant cells against up to a 100,000-fold excess of DNA from normal cells in either bone marrow or peripheral blood, to follow the course of patients treated for acute myeloid leukemia (AML). We also demonstrate that sequence variants located in a high-GC region may be sensitively detected, and we illustrate the potential of the technology for early detection of disease recurrence as a basis for prompt change of therapy.

Indexed as

Leukemia, Myeloid, AcuteBase SequenceBone MarrowHumansMutation

Identifiers

PMID35821208
PMCPMC9276831
OpenAlexW4285089991

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.