Evidence map›Paper›PMID 37803464›Full record

ReviewJournal of experimental & clinical cancer research : CR2023

Acute myeloid leukemia: from NGS, through scRNA-seq, to CAR-T. dissect cancer heterogeneity and tailor the treatment.

Edoardo Peroni, Maria Luigia Randi, Antonio Rosato, Stefano Cagnin

Open access · goldAbstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 36 citations in OpenAlex.

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  14. Strategic innovations: Tackling challenges of immunotherapy in acute myeloid leukemia.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
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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

4 authors at 2 institutions in 1 country.

Edoardo PeroniImmunology and Molecular Oncology Unit, Veneto Institute of Oncology, IOV-IRCCS, Padova, 35128, Italy. edoardo.peroni@iov.veneto.it.ORCID http://orcid.org/0000-0002-2551-6295
Maria Luigia RandiFirst Medical Clinic, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Antonio RosatoImmunology and Molecular Oncology Unit, Veneto Institute of Oncology, IOV-IRCCS, Padova, 35128, Italy.
Stefano CagninDepartment of Biology, University of Padova, Padova, 35131, Italy.
University of Padua · ITIstituto Oncologico Veneto · IT

Funding

This research received "Ricerca Corrente" funding from the Italian Ministry of Health to cover publication costs. This research received "Ricerca Corrente" funding from the Italian Ministry of Health to cover publication costs.
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a malignant blood cancer with marked cellular heterogeneity due to altered maturation and differentiation of myeloid blasts, the possible causes of which are transcriptional or epigenetic alterations, impaired apoptosis, and excessive cell proliferation. This neoplasm has a high rate of resistance to anticancer therapies and thus a high risk of relapse and mortality because of both the biological diversity of the patient and intratumoral heterogeneity due to the acquisition of new somatic changes. For more than 40 years, the old gold standard "one size fits all" treatment approach included intensive chemotherapy treatment with anthracyclines and cytarabine.The manuscript first traces the evolution of the understanding of the pathology from the 1970s to the present. The enormous strides made in its categorization prove to be crucial for risk stratification, enabling an increasingly personalized diagnosis and treatment approach.Subsequently, we highlight how, over the past 15 years, technological advances enabling single cell RNA sequencing and T-cell modification based on the genomic tools are affecting the classification and treatment of AML. At the dawn of the new millennium, the advent of high-throughput next-generation sequencing technologies has enabled the profiling of patients evidencing different facets of the same disease, stratifying risk, and identifying new possible therapeutic targets that have subsequently been validated. Currently, the possibility of investigating tumor heterogeneity at the single cell level, profiling the tumor at the time of diagnosis or after treatments exist. This would allow the identification of underrepresented cellular subclones or clones resistant to therapeutic approaches and thus responsible for post-treatment relapse that would otherwise be difficult to detect with bulk investigations on the tumor biopsy. Single-cell investigation will then allow even greater personalization of therapy to the genetic and transcriptional profile of the tumor, saving valuable time and dangerous side effects. The era of personalized medicine will take a huge step forward through the disclosure of each individual piece of the complex puzzle that is cancer pathology, to implement a "tailored" therapeutic approach based also on engineered CAR-T cells.

Indexed as

Leukemia, Myeloid, AcuteReceptors, Chimeric AntigenCytarabineHumansRecurrenceSingle-Cell Gene Expression AnalysisCytarabineReceptors, Chimeric AntigenAcute myeloid leukaemia (AML)Intratumoral heterogeneityNext generation sequencing (NGS)Personalized medicineSingle cell sequencing (scRNA-seq)Therapeutic targets

Identifiers

PMID37803464
PMCPMC10557350
OpenAlexW4387405721

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.