Evidence map›Paper›PMID 31808836›Full record

ArticleHematology. American Society of Hematology. Education Program2019

Prognostication with circulating tumor DNA: is it ready for prime time?

David M Kurtz

Open access · bronzeAbstract read
In one paragraph

Article in Hematology. American Society of Hematology. Education Program, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact, top 85% 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

11 citing papers in PubMed, 0 citations in OpenAlex.

  1. Review
  2. Article
  3. Metastatic Melanoma: Liquid Biopsy as a New Precision Medicine Approach.International journal of molecular sciences · 2023
    Review
  4. Observational
  5. Article
  6. Advances in Lymphoma Molecular Diagnostics.Diagnostics (Basel, Switzerland) · 2021
    Review
  7. Observational
  8. Short Diagnosis-to-Treatment Interval Is Associated With Higher Circulating Tumor DNA Levels in Diffuse Large B-Cell Lymphoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Article
  9. Review
  10. Review
  11. 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

1 author at 1 institution in 1 country.

David M KurtzDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA.
Stanford University · US

Funding

Molecular Characterization and Personalized Approaches to Non-Hodgkin Lymphoma from Circulating Tumor DNAK08CA241076 · NCI · STANFORD UNIVERSITY · PI KURTZ, DAVID MATTHEW · 2019 to 2023
$957k
NCI NIH HHS K08 CA241076
6 · The paper itself

Abstract

Emerging methods to detect tumor-derived DNA in the blood plasma of patients with lymphomas-so-called "circulating tumor DNA" (ctDNA)-have the potential to change the way in which lymphoma is diagnosed and managed in the clinic. The possible applications for ctDNA are numerous, including mutation genotyping, response monitoring, and detection of minimal residual disease during a time of radiographic remission. This article discusses the methodology for detecting ctDNA in aggressive B-cell lymphomas, including digital polymerase chain reaction, targeted sequencing of immunoglobulin receptors, and targeted next-generation sequencing. The advantages of each of these methods are also compared, with a focus on promising clinical applications. These include identification of molecular subtypes (eg, cell-of-origin and double-hit lymphomas) from pretreatment plasma, molecular response prediction after an initial course of therapy, and early detection of relapsing disease prior to clinical relapse. Finally, this article discusses the challenges in implementing ctDNA assays in the clinic today, including possible solutions to these challenges.

Indexed as

AdultCirculating Tumor DNAFemaleHumansLymphomaNeoplasm Recurrence, LocalPrognosisTranslational Research, BiomedicalCirculating Tumor DNA

Identifiers

PMID31808836
PMCPMC6913479
OpenAlexW2990064961

What OpenQuestion holds

Textmetadata
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.