Evidence map›Paper›PMID 39414617›Full record

ReviewZhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi2024

[Progression and application of circulating tumor DNA in lymphoma].

D Z Huang, X Zhang, J Rao

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

D Z HuangMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing Key Laboratory of Hematology and Microenvironment, State Key Laboratory of Trauma and Chemical Poisoning, Chongqing 400037, China.
X ZhangMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing Key Laboratory of Hematology and Microenvironment, State Key Laboratory of Trauma and Chemical Poisoning, Chongqing 400037, China Jinfeng Laboratory, Chongqing 401329, China.
J RaoMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing Key Laboratory of Hematology and Microenvironment, State Key Laboratory of Trauma and Chemical Poisoning, Chongqing 400037, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphomas are a highly heterogeneous group of tumors that are classified into several subtypes. The gold standard method for the molecular profiling of lymphoma is based on invasive lymph node or tissue biopsy. However, this method cannot accurately capture spatial tumor heterogeneity in each patient as well as systemic tumor invasion and tumor burden. Circulating tumor DNA (ctDNA) is an emerging and highly versatile biomarker that overcomes the basic limitations of imaging scanning and tissue biopsy; has the characteristics of being simple, rapid, and non-invasive; and has good specificity and high sensitivity. ctDNA testing has been applied to a variety of subtypes of lymphoma and has been used for somatic mutation genotyping, efficacy monitoring during treatment, detection of minimal residual disease, and the prediction of survival, which may help clinicians make better clinical decisions in the diagnosis and treatment of lymphoma patients. Furthermore, this study also aims to review the different methods of ctDNA analysis and describe the specific applications of ctDNA in different lymphoma subtypes.

Indexed as

Biomarkers, TumorCirculating Tumor DNALymphomaHumansMutationBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID39414617
PMCPMC11518914

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.