Evidence map›Paper›PMID 29236770›Full record

ArticlePloS one2017

Association between preoperative peripheral blood mononuclear cell gene expression profiles, early postoperative organ function recovery potential and long-term survival in advanced heart failure patients undergoing mechanical circulatory support.

Galyna Bondar, Ryan Togashi, Martin Cadeiras, Joanna Schaenman, Richard K Cheng, Lindsay Masukawa, Josephine Hai, Tra-Mi Bao, Desai Chu, Eleanor Chang and 11 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05258942 (MyLeukoMAP™ Genomic Survival Prediction Assay for Heart Failure Pivotal Clinical Study), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT05258942 unknown statusnot on this mapstarted 2022, after this paper: background citation

MyLeukoMAP™ Genomic Survival Prediction Assay for Heart Failure Pivotal Clinical Study

TypeobservationalSponsorLeukoLifeDx IncRan2022 to 2023Enrolled300ConditionsHeart FailureArmsObservational
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Multi-dimensional COVID-19 short- and long-term outcome prediction algorithm.Expert review of precision medicine and drug development · 2020
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

21 authors.

Galyna BondarDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Ryan TogashiDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Martin CadeirasDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Joanna SchaenmanDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Richard K ChengUniversity of Washington Medical Center, Seattle, Washington, United States of America.
Lindsay MasukawaDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Josephine HaiDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Tra-Mi BaoDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Desai ChuDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Eleanor ChangDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Maral BakirDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Sophie Kupiec-WeglinskiCornell University, Ithaca, New York, United States of America.
Victoria GroysbergDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Tristan GroganDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Joseph MeltzerDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Murray KwonDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Maura RossettiDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
David ElashoffDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Elaine ReedDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Pei Pei PingDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.
Mario C DengDavid Geffen School of Medicine, University of California Los Angeles Medical Center, Los Angeles, California, United States of America.ORCID http://orcid.org/0000-0002-5202-3816

Funding

Multidimensional Molecular Biomarkers of MultiOrgan Dysfunction after MCS TherapyR21HL120040 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DENG, MARIO C. · 2014 to 2015
$421k
NHLBI NIH HHS R21 HL120040
6 · The paper itself

Abstract

backgroundMultiorgan dysfunction syndrome contributes to adverse outcomes in advanced heart failure (AdHF) patients after mechanical circulatory support (MCS) implantation and is associated with aberrant leukocyte activity. We tested the hypothesis that preoperative peripheral blood mononuclear cell (PBMC) gene expression profiles (GEP) can predict early postoperative improvement or non-improvement in patients undergoing MCS implantation. We believe this information may be useful in developing prognostic biomarkers. METHODS &

designWe conducted a study with 29 patients undergoing MCS-surgery in a tertiary academic medical center from 2012 to 2014. PBMC samples were collected one day before surgery (day -1). Clinical data was collected on day -1 and day 8 postoperatively. Patients were classified by Sequential Organ Failure Assessment score and Model of End-stage Liver Disease Except INR score (measured eight days after surgery): Group I = improving (both scores improved from day -1 to day 8, n = 17) and Group II = not improving (either one or both scores did not improve from day -1 to day 8, n = 12). RNA-sequencing was performed on purified mRNA and analyzed using Next Generation Sequencing Strand. Differentially expressed genes (DEGs) were identified by Mann-Whitney test with Benjamini-Hochberg correction. Preoperative DEGs were used to construct a support vector machine algorithm to predict Group I vs. Group II membership.

resultsOut of 28 MCS-surgery patients alive 8 days postoperatively, one-year survival was 88% in Group I and 27% in Group II. We identified 28 preoperative DEGs between Group I and II, with an average 93% prediction accuracy. Out of 105 DEGs identified preoperatively between year 1 survivors and non-survivors, 12 genes overlapped with the 28 predictive genes.

conclusionsIn AdHF patients following MCS implantation, preoperative PBMC-GEP predicts early changes in organ function scores and correlates with long-term outcomes. Therefore, gene expression lends itself to outcome prediction and warrants further studies in larger longitudinal cohorts.

Indexed as

Gene Expression ProfilingAdultAgedAged, 80 and overFemaleHeart-Assist DevicesHeart FailureHumansLeukocytes, MononuclearMaleMiddle AgedPostoperative PeriodReal-Time Polymerase Chain ReactionSurvival AnalysisTranscriptome

Identifiers

PMID29236770
PMCPMC5728510

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.