Evidence map›Paper›PMID 41316356›Full record

ReviewBiomarker research2025

Advances in measurable residual disease assessment for acute myeloid leukemia: from cytogenetics and molecular biology to assessment of the methylation pattern and surface-enhanced Raman scattering as emerging technologies.

Anamaria Bancos, Andrei Ivancuta, Vlad Moisoiu, Adrian-Bogdan Tigu, Diana Gulei, Madalina Nistor, Cristian-Silviu Moldovan, David Kegyes, Diana Cenariu, Mihnea Zdrenghea and 9 more

Abstract readReview
In one paragraph

Review in Biomarker research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

19 authors.

Anamaria BancosDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Andrei IvancutaDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Vlad MoisoiuDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Adrian-Bogdan TiguDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Diana GuleiDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Madalina NistorDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Cristian-Silviu MoldovanDepartment of Nanosciences, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
David KegyesDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Diana CenariuDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Mihnea ZdrengheaDepartment of Hematology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Anca BojanDepartment of Hematology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Stefania D IancuFaculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania.
Nicolae LeopoldFaculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania.
Gabriel GhiaurDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Horia BumbeaDepartment of Hematology, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Alina TanaseDepartment of Stem Cell Transplantation, Fundeni Clinical Institute, Bucharest, Romania.
Hermann EinseleDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Stefan O CiureaHematopoietic Stem Cell Transplantation and Cellular Therapy Program, Division of Hematology/Oncology, Department of Medicine, University of California Irvine, Orange, CA, USA.
Ciprian TomuleasaDepartment of Personalized Medicine and Rare Diseases, Medfuture Institute for Biomedical Research, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania. ciprian.tomuleasa@umfcluj.ro.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measurable residual disease (MRD) assessment has become a cornerstone in the management of acute myeloid leukemia (AML), offering critical prognostic information and guiding post-remission therapy. Conventional MRD detection methods, including multiparameter flow cytometry (MFC), quantitative PCR (qPCR), and next-generation sequencing (NGS), have demonstrated strong predictive value but are limited by technical complexity, marker specificity, and accessibility. This review explores the current landscape of MRD monitoring in AML, covering cytogenetic, immunophenotypic, and molecular approaches, with particular emphasis on the strengths and limitations of each. We further examine promising emerging technologies—namely DNA methylation profiling and surface-enhanced Raman scattering (SERS)—as non-invasive alternatives. DNA methylation-based assays capitalize on the epigenetic dysregulation characteristic of AML, while proof-of-concept studies indicate SERS as a promising alternative for cancer subtypes, stages or specific mutation detection by analyzing biofluids or extracted DNA from blood. Together, these developments hold the potential to overcome current diagnostic limitations, enabling more universal and precise MRD assessment. Ongoing research and validation will determine their future integration into standard clinical practice.

Indexed as

Acute myeloid leukemiaDNA methylation profilingMinimal residual diseaseSERS

Identifiers

PMID41316356
PMCPMC12661797

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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.