Evidence map›Paper›PMID 20678155›Full record

ArticleCancer science2010

Evaluation of a new oil adjuvant for use in peptide-based cancer vaccination.

Kanako Iseki, Hiromi Matsunaga, Nobukazu Komatsu, Shigetaka Suekane, Masanori Noguchi, Kyogo Itoh, Akira Yamada

Open access · bronzeAbstract readClinical Trial, Phase I
In one paragraph

Article in Cancer science, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Kanako IsekiCancer Vaccine Development Division, Kurume University Research Center for Innovative Cancer Therapy, Fukuoka, Japan.
Hiromi Matsunaga
Nobukazu Komatsu
Shigetaka Suekane
Masanori Noguchi
Kyogo Itoh
Akira Yamada
Kurume University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccine therapies are increasingly being used for the treatment of various diseases, and the antigen molecules themselves are being expanded from whole microorganisms to fine molecules such as peptides. Accordingly, there is a need for new adjuvants to support these new applications. In this paper, we used pharmaceutical grade mineral oil and sorbitan monooleate to develop a new oil adjuvant formula, NH(2) , and investigated its effects on peptide vaccination at both the pre-clinical and clinical levels. The adjuvant effect of NH(2) on peptide-induced cellular immunity in mice was superior to that of Montanide ISA51VG, a commercially available incomplete Freund's adjuvant for clinical use, although no significant difference was observed between the two adjuvants on peptide-induced humoral immunity. The adjuvant effects of NH(2) were also confirmed in a Phase-I clinical trial of peptide vaccines for patients with advanced cancers. These results suggest that NH(2) is a suitable adjuvant for peptide vaccination, particularly for cancer vaccines (Phase-I clinical trial of pan-HLA type personalized peptide vaccine for advanced cancer patients, UMIN clinical trial registry number: UMIN 000000619).

Indexed as

VaccinationAdjuvants, ImmunologicAnimalsAntigens, NeoplasmCancer VaccinesEmulsionsFemaleHexosesHumansImmunity, HumoralInterferon-gammaMiceMice, Inbred BALB CMice, Inbred ICRRNA-Binding ProteinsT-Lymphocytes, CytotoxicAdjuvants, ImmunologicAntigens, NeoplasmCancer VaccinesEmulsionsHexosesInterferon-gammaRNA-Binding ProteinsSART3 protein, humansorbitan monooleate

Identifiers

PMID20678155
PMCPMC11159704
OpenAlexW2002432836

What OpenQuestion holds

Textmetadata
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.