Evidence map›Paper›PMID 39302712›Full record

Trial reportJNCI cancer spectrum2024

Low CD86 expression is a predictive biomarker for clinical response to the therapeutic human papillomavirus vaccine IGMKK16E7: results of a post hoc analysis.

Hanano Ando, Yuki Katoh, Osamu Kobayashi, Yuji Ikeda, Hideaki Yahata, Takashi Iwata, Toyomi Satoh, Azusa Akiyama, Daichi Maeda, Yumiko Hori-Hirose and 14 more

Abstract readClinical Trial, Phase IClinical Trial, Phase II
In one paragraph

Trial report in JNCI cancer spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

24 authors.

Hanano AndoDepartment of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan.
Yuki KatohDepartment of Functional Morphology, Nihon University School of Medicine, Tokyo, Japan.
Osamu KobayashiDepartment of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan.
Yuji IkedaDepartment of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan.
Hideaki YahataDepartment of Obstetrics and Gynecology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Takashi IwataDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.
Toyomi SatohDepartment of Obstetrics and Gynecology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Azusa AkiyamaDepartment of Obstetrics and Gynecology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Daichi MaedaDepartment of Molecular and Cellular Pathology, Graduate School of Medical Sciences, Kanazawa University, Ishikawa, Japan.
Yumiko Hori-HiroseDepartment of Central Laboratory and Surgical Pathology, National Hospital Organization Osaka National Hospital, Osaka, Japan.
Yukari UemuraDepartment of Data Science, Center for Clinical Science, National Center for Global Health and Medicine, Tokyo, Japan.
Kaori Nakayama-HosoyaAIDS Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Kanoko KatohDepartment of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan.
Takahiro NakajimaDepartment of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan.
Ayumi TaguchiWorld Premier International Immunology Frontier Research Center, Laboratory of Human Single Cell Immunology, Osaka, Japan.
Atsushi KomatsuDepartment of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan.
Saki KamataDepartment of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan.
Naoko TomitaDepartment of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan.
Kiyoko KatoDepartment of Obstetrics and Gynecology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Daisuke AokiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-9596-8326
Shizunobu IgimiDepartment of Applied Biology and Chemistry, Tokyo University of Agriculture, Tokyo, Japan.
Ai Kawana-TachikawaAIDS Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Danny J SchustDepartment of Obstetrics and Gynecology, Duke University, Durham, NC, USA.
Kei KawanaDepartment of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan.ORCID 0000-0003-1919-8830

Funding

GLOVACCJapan AMED
6 · The paper itself

Abstract

backgroundAlthough therapeutic human papillomavirus vaccines could offer a noninvasive treatment for patients with cervical intraepithelial neoplasia, none has been clinically implemented. Oral administration of the therapeutic human papillomavirus vaccine IGMKK16E7 results in the histological regression of human papillomavirus 16-positive cervical intraepithelial neoplasia 2/3 to normal (complete response). We investigated biomarkers that could predict complete response after oral administration of IGMKK16E7.

methodsForty-two patients administered high-dose oral IGMKK16E7 in a phase I/II trial were included. Cervix-exfoliated cells were collected before vaccine administration. Gene expression of CD4, CD8, FOXP3, programmed cell death 1 protein, CTLA4, CD103, CD28, CD80, CD86, and programmed cell death 1 ligand 1 in the cells was measured by quantitative reverse transcriptase-polymerase chain reaction. Receiver operating characteristic curve analysis and Mann-Whitney tests were used to explore potential biomarkers. Pearson correlation coefficient analysis was used to correlate gene expression profiles with clinical outcome.

resultsThe only predictive biomarker of vaccine response for which receiver operating characteristic curve analysis showed significant diagnostic performance with histological complete response was CD86 (area under the curve = 0.71, 95% confidence interval = 0.53 to 0.88, P = .020). Patients with complete response had significantly lower CD86 expression (CD86-low) than patients with no complete response (P = .035). The complete response rates for CD86-low and CD86-high patients were 50% and 19%, respectively, and CD86-low patients had a significantly higher complete response rate (P = .047). Compared with all patients, the CD86-low group had a 1.5-fold increase in the complete response rate. Gene expression of CD86 and CTLA4 showed the strongest positive correlation with clinical outcomes in the incomplete response group (P < .001).

conclusionLow expression of CD86 in exfoliated cervical cells can be used as a pretreatment biomarker to predict histological complete response after IGMKK16E7 administration.

Indexed as

B7-1 AntigenB7-2 AntigenCTLA-4 AntigenPapillomavirus VaccinesUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultAntigens, CDArea Under CurveB7-H1 AntigenBiomarkers, TumorCD28 AntigensCD4 AntigensCD8 AntigensCervix UteriFemaleAntigens, CDB7-1 AntigenB7-2 AntigenB7-H1 AntigenBiomarkers, TumorCD274 protein, humanCD28 AntigensCD4 AntigensCD80 protein, humanCD86 protein, humanCD8 AntigensCTLA-4 AntigenCTLA4 protein, humanForkhead Transcription FactorsPapillomavirus Vaccines

Identifiers

PMID39302712
PMCPMC11528511

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.