Evidence map›Paper›PMID 31763708›Full record

ArticleEuropean journal of haematology2020

Dynamics of tumor-specific cfDNA in response to therapy in multiple myeloma patients.

David Vrabel, Lenka Sedlarikova, Lenka Besse, Lucie Rihova, Renata Bezdekova, Martina Almasi, Veronika Kubaczkova, Lucie Brožová, Jiri Jarkovsky, Hana Plonkova and 6 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of haematology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

16 authors at 5 institutions in 2 countries.

David VrabelBabak Myeloma Group, Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Lenka SedlarikovaDepartment of Immunology, Faculty of Medicine and Dentistry, Palacky University and University Hospital, Olomouc, Czech Republic.
Lenka BesseLaboratory of Experimental Oncology, Department of Oncology and Hematology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Lucie RihovaDepartment of Clinical Hematology, University Hospital Brno, Brno, Czech Republic.
Renata BezdekovaDepartment of Clinical Hematology, University Hospital Brno, Brno, Czech Republic.
Martina AlmasiDepartment of Clinical Hematology, University Hospital Brno, Brno, Czech Republic.
Veronika KubaczkovaBabak Myeloma Group, Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Lucie BrožováInstitute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Jiri JarkovskyInstitute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Hana PlonkovaDepartment of Hematooncology, University Hospital Ostrava and Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
Tomas JelinekDepartment of Hematooncology, University Hospital Ostrava and Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
Viera SandeckaDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic.
Martin StorkDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic.ORCID https://orcid.org/0000-0002-7072-8537
Ludek PourDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic.
Sabina SevcikovaBabak Myeloma Group, Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.ORCID https://orcid.org/0000-0002-7194-6771
Roman HajekDepartment of Hematooncology, University Hospital Ostrava and Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.ORCID https://orcid.org/0000-0001-6955-6267
University Hospital Brno · CZMasaryk University · CZUniversity of Ostrava · CZUniversity Hospital Olomouc · CZUniversity of St.Gallen · CH

Funding

Ministerstvo Zdravotnictví Ceské Republiky AZV 17-29343A
6 · The paper itself

Abstract

objectivesProgress in multiple myeloma treatment allows patients to achieve deeper responses, for which the assessment of minimal residual disease (MRD) is critical. Typically, bone marrow samples are used for this purpose; however, this approach is site-limited. Liquid biopsy represents a minimally invasive and more comprehensive technique that is not site-limited, but equally challenging.

methodsWhile majority of current data comes from short-term studies, we present a long-term study on blood-based MRD monitoring using tumor-specific cell-free DNA detection by ASO-qPCR. One hundred and twelve patients were enrolled into the study, but long-term sampling and analysis were feasible only in 45 patients.

resultsWe found a significant correlation of quantity of tumor-specific cell-free DNA levels with clinically meaningful events [induction therapy (P = .004); ASCT (P = .012)]. Moreover, length of cfDNA fragments is associated with better treatment response of patients.

conclusionsThese results support the concept of tumor-specific cell-free DNA as a prognostic marker.

Indexed as

Biomarkers, TumorCirculating Tumor DNACombined Modality TherapyDisease ManagementFlow CytometryHumansImmunoglobulin Heavy ChainsMultiple MyelomaNeoplasm, ResidualOutcome Assessment, Health CarePolymerase Chain ReactionTreatment OutcomeBiomarkers, TumorCirculating Tumor DNAImmunoglobulin Heavy Chainscell-free DNAliquid biopsymultiple myelomaqPCR

Identifiers

PMID31763708
PMCPMC7065130
OpenAlexW2991388489

What OpenQuestion holds

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LicenceCC BY-NC
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.