Evidence map›Paper›PMID 25774806›Full record

ArticlePloS one2015

Tolerance associated gene expression following allogeneic hematopoietic cell transplantation.

Joseph Pidala, Gregory C Bloom, Steven Eschrich, Minnie Sarwal, Steve Enkemann, Brian C Betts, Francisca Beato, Sean Yoder, Claudio Anasetti

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Nonchimeric HLA-Identical Renal Transplant Tolerance: Regulatory Immunophenotypic/Genomic Biomarkers.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2016
    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

9 authors.

Joseph PidalaBlood and Marrow Transplantation, Moffitt Cancer Center, Tampa, FL, United States of America.
Gregory C BloomBioinformatics, Moffitt Cancer Center, Tampa, FL, United States of America.
Steven EschrichBioinformatics, Moffitt Cancer Center, Tampa, FL, United States of America.
Minnie SarwalDepartment of Surgery, UCSF School of Medicine, San Francisco, CA, United States of America.
Steve EnkemannMolecular Genomics, Moffitt Cancer Center, Tampa, FL, United States of America.
Brian C BettsBlood and Marrow Transplantation, Moffitt Cancer Center, Tampa, FL, United States of America.
Francisca BeatoBlood and Marrow Transplantation, Moffitt Cancer Center, Tampa, FL, United States of America.
Sean YoderMolecular Genomics, Moffitt Cancer Center, Tampa, FL, United States of America.
Claudio AnasettiBlood and Marrow Transplantation, Moffitt Cancer Center, Tampa, FL, United States of America.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Antigen Specific T Cell tolerance by Anti CD3 AntibodiesR01CA132197 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANASETTI, CLAUDIO · 2008 to 2012
$1.8M
NCI NIH HHS P30 CA076292NCI NIH HHS R01 CA132197
6 · The paper itself

Abstract

Biologic markers of immune tolerance may facilitate tailoring of immune suppression duration after allogeneic hematopoietic cell transplantation (HCT). In a cross-sectional study, peripheral blood samples were obtained from tolerant (n = 15, median 38.5 months post-HCT) and non-tolerant (n = 17, median 39.5 post-HCT) HCT recipients and healthy control subjects (n = 10) for analysis of immune cell subsets and differential gene expression. There were no significant differences in immune subsets across groups. We identified 281 probe sets unique to the tolerant (TOL) group and 122 for non-tolerant (non-TOL). These were enriched for process networks including NK cell cytotoxicity, antigen presentation, lymphocyte proliferation, and cell cycle and apoptosis. Differential gene expression was enriched for CD56, CD66, and CD14 human lineage-specific gene expression. Differential expression of 20 probe sets between groups was sufficient to develop a classifier with > 90% accuracy, correctly classifying 14/15 TOL cases and 15/17 non-TOL cases. These data suggest that differential gene expression can be utilized to accurately classify tolerant patients following HCT. Prospective investigation of immune tolerance biologic markers is warranted.

Indexed as

AdultCase-Control StudiesCell LineageCross-Sectional StudiesFemaleGene Expression RegulationHematopoietic Stem Cell TransplantationHumansImmune ToleranceMaleMiddle AgedPhenotypeTransplantation, Homologous

Identifiers

PMID25774806
PMCPMC4361657

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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.