Evidence map›Paper›PMID 33363162›Full record

ReviewFrontiers in cell and developmental biology2020

Real-Time Molecular Monitoring in Acute Myeloid Leukemia With Circulating Tumor DNA.

Deepshi Thakral, Ritu Gupta, Ranjit Kumar Sahoo, Pramod Verma, Indresh Kumar, Sangeeta Vashishtha

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Impact of Preanalytical and Analytical Methods on Cell-Free DNA Diagnostics.Frontiers in cell and developmental biology · 2021
    Article
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

6 authors at 1 institution in 1 country.

Deepshi ThakralLaboratory Oncology Unit, Dr. BRA IRCH, All India Institute of Medical Sciences, New Delhi, India.
Ritu GuptaLaboratory Oncology Unit, Dr. BRA IRCH, All India Institute of Medical Sciences, New Delhi, India.
Ranjit Kumar SahooDepartment of Medical Oncology, Dr. BRA IRCH, All India Institute of Medical Sciences, New Delhi, India.
Pramod VermaLaboratory Oncology Unit, Dr. BRA IRCH, All India Institute of Medical Sciences, New Delhi, India.
Indresh KumarLaboratory Oncology Unit, Dr. BRA IRCH, All India Institute of Medical Sciences, New Delhi, India.
Sangeeta VashishthaLaboratory Oncology Unit, Dr. BRA IRCH, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clonal evolution of acute myeloid leukemia (AML), an oligoclonal hematological malignancy, is driven by a plethora of cytogenetic abnormalities, gene mutations, abnormal epigenetic patterns, and aberrant gene expressions. These alterations in the leukemic blasts promote clinically diverse manifestations with common characteristics of high relapse and drug resistance. Defining and real-time monitoring of a personalized panel of these predictive genetic biomarkers is rapidly being adapted in clinical setting for diagnostic, prognostic, and therapeutic decision-making in AML. A major challenge remains the frequency of invasive biopsy procedures that can be routinely performed for monitoring of AML disease progression. Moreover, a single-site biopsy is not representative of the tumor heterogeneity as it is spatially and temporally constrained and necessitates the understanding of longitudinal and spatial subclonal dynamics in AML. Hematopoietic cells are a major contributor to plasma cell-free DNA, which also contain leukemia-specific aberrations as the circulating tumor-derived DNA (ctDNA) fraction. Plasma cell-free DNA analysis holds immense potential as a minimally invasive tool for genomic profiling at diagnosis as well as clonal evolution during AML disease progression. With the technological advances and increasing sensitivity for detection of ctDNA, both genetic and epigenetic aberrations can be qualitatively and quantitatively evaluated. However, challenges remain in validating the utility of liquid biopsy tools in clinics, and universal recommendations are still awaited towards reliable diagnostics and prognostics. Here, we provide an overview on the scope of ctDNA analyses for prognosis, assessment of response to treatment and measurable residual disease, prediction of disease relapse, development of acquired resistance and beyond in AML.

Indexed as

acute myeloid leukemiacfDNAcirculating tumor DNActDNAgenomic profilinghematological malignanciesmeasurable residual diseaseplasma cell free DNA

Identifiers

PMID33363162
PMCPMC7759522
OpenAlexW3111725249

What OpenQuestion holds

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LicenceCC BY
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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.