Evidence map›Paper›PMID 36239794›Full record

ArticleJournal of cancer research and clinical oncology2023

Identification of tumor-specific neoantigens and immune clusters of hepatocellular carcinoma for mRNA vaccine development.

Yi-Fei Li, Qiong-Qiong Hou, Shuang Zhao, Xiaoyan Chen, Min Tang, Lin Li

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 10 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

6 authors at 1 institution in 1 country.

Yi-Fei LiClinical Biobank, Institute of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.ORCID http://orcid.org/0000-0002-4009-4115
Qiong-Qiong HouGuangzhou Cities Constructions School, Guangzhou, People's Republic of China.
Shuang ZhaoClinical Trial Research Center, Institute of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Xiaoyan ChenDepartment of Medical Oncology, Institute of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, People's Republic of China. chenxiaoyan0206@163.com.
Min TangDepartment of Medical Oncology, Institute of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, People's Republic of China. tangmin3911@bjhmoh.cn.
Lin LiDepartment of Medical Oncology, Institute of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, People's Republic of China. lilin_51@hotmail.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

CAMS Innovation Fund for Medical Sciences 2021-I2M-1-012Fundamental Research Funds for the Central Universities 3332019120National High Level Hospital Clinical Research Funding BJ-2022-151
6 · The paper itself

Abstract

backgroundTo screen efficacious neoantigens for the development of LIHC mRNA vaccines, construct LIHC immune clusters, and therefore select patients who might benefit from vaccination.

methodsRNA-seq data and clinical information of 371 TCGA-LIHC and 231 ICGC-LIHC cohorts were downloaded. Differentially expressed genes and their associations with prognosis were analyzed by GEPIA, genetic alterations were examined in the cBioPortal portal, and the association between genes and immune infiltrating cells was explored by TIMER. The immune clusters were constructed by consistency clustering, and the immune landscape was described using CIBERSORT.

resultsPOLR3C and KPNA2 were identified as LIHC tumor neoantigens related to inferior prognosis and antigen-presenting cell infiltration. In addition, three immune clusters (IC1, IC2 and IC3) with significant differences in molecular, immune cytological, and clinical features were identified in both the TCGA and ICGC LIHC cohorts. Immune "hot" phenotype IC3 displayed a better survival than IC2, and immune "cold" phenotype IC1 exhibited a high tumor mutation burden.

conclusionIn conclusion, for the development of anti-LIHC mRNA vaccines, we identified efficacious neoantigens POLR3C and KPNA2, profiled the tumor microenvironment of LIHC, and identified IC1 patients as the subgroup who might not most benefit from vaccination.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsCluster AnalysisHumansRNA, MessengerTumor MicroenvironmentVaccinationRNA, MessengerHepatocellular carcinomaImmune landscapeImmunotypemRNA vaccineTumor immune microenvironment

Identifiers

PMID36239794
PMCPMC9561321
OpenAlexW4306165942

What Socratic holds

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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 Socratic graph.