Evidence map›Paper›PMID 27793157›Full record

Observational studyJournal of hematology & oncology2016

Integrating a prospective pilot trial and patient-derived xenografts to trace metabolic changes associated with acute myeloid leukemia.

Matteo G Carrabba, Laurette Tavel, Giacomo Oliveira, Alessandra Forcina, Giacomo Quilici, Francesca Nardelli, Cristina Tresoldi, Alessandro Ambrosi, Fabio Ciceri, Massimo Bernardi and 2 more

Open access · goldAbstract readLetterObservational Study
In one paragraph

Observational study in Journal of hematology & oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. 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

12 authors at 3 institutions in 1 country.

Matteo G CarrabbaUnit of Hematology and Bone Marrow Transplantation, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
Laurette TavelBiomolecular Nuclear Magnetic Resonance Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giacomo OliveiraUnit of Immunogenetics, Leukemia Genomics and Immunobiology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alessandra ForcinaUnit of Hematology and Bone Marrow Transplantation, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
Giacomo QuiliciBiomolecular Nuclear Magnetic Resonance Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesca NardelliBiomolecular Nuclear Magnetic Resonance Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Cristina TresoldiMolecular Hematology Laboratory, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alessandro AmbrosiCenter for Statistics in Biomedical Sciences, University Vita-Salute San Raffaele, Milan, Italy.
Fabio CiceriUnit of Hematology and Bone Marrow Transplantation, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy. ciceri.fabio@hsr.it.
Massimo BernardiUnit of Hematology and Bone Marrow Transplantation, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
Luca VagoUnit of Hematology and Bone Marrow Transplantation, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
Giovanna MuscoBiomolecular Nuclear Magnetic Resonance Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITIstituto di Ricovero e Cura a Carattere Scientifico San RaffaeleVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the considerable progress in understanding the molecular bases of acute myeloid leukemia (AML), new tools to link disease biology to the unpredictable patient clinical course are still needed. Herein, high-throughput metabolomics, combined with the other "-omics" disciplines, holds promise in identifying disease-specific and clinically relevant features.In this study, we took advantage of nuclear magnetic resonance (NMR) to trace AML-associated metabolic trajectory employing two complementary strategies. On the one hand, we performed a prospective observational clinical trial to identify metabolic changes associated with blast clearance during the first two cycles of intensive chemotherapy in nine adult patients. On the other hand, to reduce the intrinsic variability associated with human samples and AML genetic heterogeneity, we analyzed the metabolic changes in the plasma of immunocompromised mice upon engraftment of primary human AML blasts.Combining the two longitudinal approaches, we narrowed our screen to seven common metabolites, for which we observed a mirror-like trajectory in mice and humans, tracing AML progression and remission, respectively. We interpreted this set of metabolites as a dynamic fingerprint of AML evolution.Overall, these NMR-based metabolomic data, to be consolidated in larger cohorts and integrated in more comprehensive system biology approaches, hold promise for providing valuable and non-redundant information on the systemic effects of leukemia.

Indexed as

AnimalsGenetic HeterogeneityHeterograftsHumansLeukemia, Myeloid, AcuteLongitudinal StudiesMagnetic Resonance SpectroscopyMetabolomicsMicePilot ProjectsProspective StudiesAcute myeloid leukemiaMetabolomicsNuclear magnetic resonancePatient-derived xenografts

Identifiers

PMID27793157
PMCPMC5086061
OpenAlexW2544511637

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.