Evidence map›Paper›PMID 29655599›Full record

ArticleCytotherapy2018

Plasma from some cancer patients inhibits adenoviral Ad5f35 vector transduction of dendritic cells.

Ping Jin, Wenjing Chen, Jiaqiang Ren, Steven Chen, Lauren Wood, Yingdong Zhao, Alan Remaley, Chauha Pham, Sheena Lian, Shutong Liu and 4 more

Open access · greenAbstract read
In one paragraph

Article in Cytotherapy, 2018. 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
0.3field-weighted citation impact, top 39% 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, 5 citations in OpenAlex.

  1. Dendritic Cell Cancer Vaccines: Clinical Production for Cancer Immunotherapy.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  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

14 authors at 4 institutions in 1 country.

Ping JinCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Wenjing ChenCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Jiaqiang RenCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Steven ChenCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Lauren WoodVaccine Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Yingdong ZhaoBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Alan RemaleyLipid Metabolism Section, Cardiovascular and Pulmonary Branch, National Institutes of Health National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Chauha PhamCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Sheena LianCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Shutong LiuCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Hui LiuCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Steven HighfillCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Jay A BerzofskyVaccine Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
David F StroncekCell Processing Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA. Electronic address: dstroncek@cc.nih.gov.
National Institutes of Health Clinical Center · USNational Institutes of Health · USCenter for Cancer Research · USNational Cancer Institute · US

Funding

Vaccine and immunotherapy strategies for cancer and viruses causing cancerZIASC004020 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI BERZOFSKY, JAY A · 2009 to 2025
$51.8M
Develop novel assays for assessing cellular and gene therapiesZIACL002119 · CLC · CLINICAL CENTER · PI STRONCEK, DAVID · 2010 to 2025
$0k
Development of novel cell and gene therapiesZIACL002120 · CLC · CLINICAL CENTER · PI STRONCEK, DAVID · 2009 to 2025
$0k
Intramural NIH HHS ZIA CL002119Intramural NIH HHS ZIA CL002120
6 · The paper itself

Abstract

backgroundPooled AB serum is often used as a media supplement for cell culture but it has the potential to transmit infectious diseases. To avoid this risk, we used autologous plasma as a media supplement for manufacturing dendritic cells (DCs) for cancer immunotherapy. We noticed inconsistencies in the DCs and investigated their nature and cause.

methodsAdenovirus human epidural growth factor receptor 2 (adHER2/neu) DCs for 21 patients were manufactured from autologous peripheral blood monocytes that were treated with granulocyte-macrophage colony-stimulating factor (GM-CSF) and interleukin (IL)-4 for 3 days, transduced with Ad5f35HER2ECTM and then treated with lipopolysaccharide and interferon (IFN)-γ for 1 day. The cells were cultured in RPMI-1640 supplemented with either 10% heat inactivated autologous or AB plasma.

resultsTwenty-eight adHER2/neu DCs were manufactured for 21 patients using autologous plasma and 68 were manufactured for 20 of those patients using AB plasma. The expression of human epidural growth factor receptor 2 (HER2/neu) was less for DCs manufactured with autologous plasma (70.3 ± 33.3% versus 86.1 ± 22.8%; P <0.01). Manufacturing adHER2/neu DCs using monocytes from three healthy subjects and plasma from one patient with low HER2/neu expression (18%) resulted in low HER2/neu expression by all three DCs (13%, 16% and 23%). Analysis of the levels of 1322 proteins in eight plasma samples associated with low HER2/neu expression and in 12 associated with high HER2/neu expression revealed that the levels of 14 predicted HER2/neu transduction efficiency.

conclusionThe manufacture of adHER2/neu DC using autologous plasma as a media supplement resulted in inconsistent HER2/neu expression. It is likely that variability in the levels of multiple proteins in autologous plasma contributed to low HER2/neu expression.

Indexed as

Transduction, GeneticAdenoviridaeAdultAgedCytokinesDendritic CellsErb-b2 Receptor Tyrosine KinasesFemaleGene Expression RegulationGenetic VectorsHumansMiddle AgedMonocytesNeoplasmsPlasmaPrincipal Component AnalysisCytokinesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesadHER2/neucancer immunotherapydendritic cells (DCs)

Identifiers

PMID29655599
PMCPMC6014594
OpenAlexW2800143855

What OpenQuestion holds

Textmetadata
LicenceTDM
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.