Evidence map›Paper›PMID 37173944›Full record

ReviewCancers2023

Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives.

Olisaemeka Ogbue, Serhan Unlu, Gogo-Ogute Ibodeng, Abhay Singh, Arda Durmaz, Valeria Visconte, John C Molina

Abstract readReview
In one paragraph

Review in Cancers, 2023. 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. Review
  2. Review
  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

7 authors.

Olisaemeka OgbueInternal Medicine, Cleveland Clinic Fairview Hospital, Cleveland, OH 44111, USA.ORCID 0000-0001-9614-6626
Serhan UnluInternal Medicine, Cleveland Clinic Fairview Hospital, Cleveland, OH 44111, USA.ORCID 0000-0002-0425-5030
Gogo-Ogute IbodengInternal Medicine, Infirmary Health's Thomas Hospital, Fairhope, AL 36607, USA.ORCID 0000-0002-7070-9416
Abhay SinghDepartment of Hematology Medical Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH 44106, USA.
Arda DurmazDepartment of Translational Hematology and Oncology Research, Cleveland Clinic Taussig Cancer Center, Cleveland, OH 44106, USA.
Valeria VisconteDepartment of Translational Hematology and Oncology Research, Cleveland Clinic Taussig Cancer Center, Cleveland, OH 44106, USA.ORCID 0000-0002-2993-1509
John C MolinaDepartment of Hematology Medical Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH 44106, USA.ORCID 0000-0003-3142-516X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) are genetically complex and diverse diseases. Such complexity makes challenging the monitoring of response to treatment. Measurable residual disease (MRD) assessment is a powerful tool for monitoring response and guiding therapeutic interventions. This is accomplished through targeted next-generation sequencing (NGS), as well as polymerase chain reaction and multiparameter flow cytometry, to detect genomic aberrations at a previously challenging leukemic cell concentration. A major shortcoming of NGS techniques is the inability to discriminate nonleukemic clonal hematopoiesis. In addition, risk assessment and prognostication become more complicated after hematopoietic stem-cell transplantation (HSCT) due to genotypic drift. To address this, newer sequencing techniques have been developed, leading to more prospective and randomized clinical trials aiming to demonstrate the prognostic utility of single-cell next-generation sequencing in predicting patient outcomes following HSCT. This review discusses the use of single-cell DNA genomics in MRD assessment for AML/MDS, with an emphasis on the HSCT time period, including the challenges with current technologies. We also touch on the potential benefits of single-cell RNA sequencing and analysis of accessible chromatin, which generate high-dimensional data at the cellular resolution for investigational purposes, but not currently used in the clinical setting.

Indexed as

acute myeloid leukemiahematopoietic stem-cell transplantationmeasurable residual diseasemyelodysplastic syndrome/neoplasm

Identifiers

PMID37173944
PMCPMC10177286

What OpenQuestion holds

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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.