Evidence map›Paper›PMID 39609411›Full record

ArticleBlood cancer journal2024

High level of circulating cell-free tumor DNA at diagnosis correlates with disease spreading and defines multiple myeloma patients with poor prognosis.

Marina Martello, Vincenza Solli, Gaia Mazzocchetti, Antonio Giovanni Solimando, Davide Bezzi, Barbara Taurisano, Ajsi Kanapari, Andrea Poletti, Enrica Borsi, Silvia Armuzzi and 13 more

Abstract read
In one paragraph

Article in Blood cancer journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Interpretable deep learning model of circulating genomics for quantitative survival prediction in advanced non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

23 authors.

Marina MartelloDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy. marina.martello2@unibo.it.ORCID 0000-0001-8196-8707
Vincenza SolliDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.ORCID 0000-0002-4828-6955
Gaia MazzocchettiDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Antonio Giovanni SolimandoDepartment of Precision and Regenerative Medicine and Ionian Area (DiMePRe‑J), Unit of Internal Medicine "Guido Baccelli", University of Bari "Aldo Moro" Medical School, Bari, Italy.
Davide BezziNuclear Medicine Unit, AUSL Romagna, Ravenna, Italy.ORCID 0000-0002-0174-2052
Barbara TaurisanoDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Ajsi KanapariDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Andrea PolettiDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.ORCID 0000-0002-0753-1248
Enrica BorsiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy.
Silvia ArmuzziDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Ilaria VigliottaIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy.
Ignazia PistisIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy.
Vanessa DesantisDepartment of Precision and Regenerative Medicine and Ionian Area (DiMePRe‑J), Section of Pharmacology, University of Bari "Aldo Moro" Medical School, Bari, Italy.
Giulia MarzocchiDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Ilaria RizzelloDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Lucia PantaniDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Katia MancusoDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Paola TacchettiDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Nicoletta TestoniDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Cristina NanniNuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Elena ZamagniDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Michele CavoDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.ORCID 0000-0003-4514-3227
Carolina TerragnaIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy. Carolina.terragna@unibo.it.ORCID 0000-0002-4948-4785

Funding

Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) IG2018-22059Ministero della Salute (Ministry of Health, Italy) 2022ZKKWLWMinistero della Salute (Ministry of Health, Italy) PNRRMinistero della Salute (Ministry of Health, Italy) RF-2016-02362532
6 · The paper itself

Abstract

Multiple myeloma (MM) is a plasma cell (PC) disorder characterized by skeletal involvement at the time of diagnosis. Recently, cell-free DNA (cfDNA) has been proven to recapitulate the heterogeneity of bone marrow (BM) disease. Our aim was to evaluate the prognostic role of cfDNA at diagnosis according to disease distribution, and to investigate the role of the MM microenvironment inflammatory state in supplying the release of cfDNA. A total of 162 newly diagnosed MM patients were screened using 18F-FDG PET/CT and assessed by ultra low-pass whole genome sequencing (ULP-WGS). High cfDNA tumor fraction (ctDNA) levels were correlated with different tumor mass markers, and patients with high ctDNA levels at diagnosis were more likely to present with metabolically active paraskeletal (PS) and extramedullary (EM) lesions. Moreover, we demonstrated that microenvironment cancer-associated fibroblast (CAFs)-mediated inflammation might correlate with high ctDNA levels. Indeed, a high cfDNA TF level at diagnosis predicted a poorer prognosis, independent of R-ISS III and 1q amplification; the inclusion of >12% ctDNA in the current R-ISS risk score enables a better identification of high-risk patients. ctDNA can be a reliable and less invasive marker for disease characterization, and can refine patient risk.

Indexed as

Biomarkers, TumorCirculating Tumor DNAMultiple MyelomaAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyPrognosisTumor MicroenvironmentBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID39609411
PMCPMC11605000

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Registered trials

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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.