Evidence map›Paper›PMID 34512630›Full record

ArticleFrontiers in immunology2021

Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine.

Hua Zhong, Shuai Liu, Fang Cao, Yi Zhao, Jianguo Zhou, Feng Tang, Zhaohua Peng, Yangsheng Li, Shen Xu, Chunlin Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.2field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 84 citations in OpenAlex.

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  15. RNA modification in mRNA cancer vaccines.Clinical and experimental medicine · 2023
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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

12 authors at 5 institutions in 3 countries.

Hua ZhongCollege of Life Sciences, Wuhan University, Wuhan, China.
Shuai LiuDepartment of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Starkville, MS, United States.
Fang CaoDepartment of Cerebrovascular Disease, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Yi ZhaoDepartment of Medical Genetics, School of Basic Medical Science, Demonstration Center for Experimental Basic Medicine Education, Wuhan University, Wuhan, China.
Jianguo ZhouDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Feng TangDepartment of Neurosurgery, Zhongnan Hospital, Wuhan University, Wuhan, China.
Zhaohua PengDepartment of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Starkville, MS, United States.
Yangsheng LiCollege of Life Sciences, Wuhan University, Wuhan, China.
Shen XuDepartment of Neurosurgery, No. 901 Hospital of the Chinese People's Liberation Army Logistic Support Force, Hefei, China.
Chunlin WangDepartment of Neurosurgery, No. 901 Hospital of the Chinese People's Liberation Army Logistic Support Force, Hefei, China.
Guohua YangDepartment of Medical Genetics, School of Basic Medical Science, Demonstration Center for Experimental Basic Medicine Education, Wuhan University, Wuhan, China.
Zhi-Qiang LiDepartment of Neurosurgery, Zhongnan Hospital, Wuhan University, Wuhan, China.
Wuhan University · CNChinese People's Liberation Army · CNMississippi State University · USUniversitätsklinikum Erlangen · DEZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nowadays, researchers are leveraging the mRNA-based vaccine technology used to develop personalized immunotherapy for cancer. However, its application against glioma is still in its infancy. In this study, the applicable candidates were excavated for mRNA vaccine treatment in the perspective of immune regulation, and suitable glioma recipients with corresponding immune subtypes were further investigated. Methods: The RNA-seq data and clinical information of 702 and 325 patients were recruited from TCGA and CGGA, separately. The genetic alteration profile was visualized and compared by cBioPortal. Then, we explored prognostic outcomes and immune correlations of the selected antigens to validate their clinical relevance. The prognostic index was measured Results: Four glioma antigens, namely ANXA5, FKBP10, MSN, and PYGL, associated with superior prognoses and infiltration of APCs were selected. Three immune subtypes IS1-IS3 were identified, which fundamentally differed in molecular, cellular, and clinical signatures. Patients in subtypes IS2 and IS3 carried immunologically cold phenotypes, whereas those in IS1 carried immunologically hot phenotype. Particularly, patients in subtypes IS3 and IS2 demonstrated better outcomes than that in IS1. Expression profiles of immune checkpoints and immunogenic cell death (ICD) modulators showed a difference among IS1-IS3 tumors. Ultimately, the immune landscape of glioma elucidated considerable heterogeneity not only between individual patients but also within the same immune subtype. Conclusions: ANXA5, FKBP10, MSN, and PYGL are identified as potential antigens for anti-glioma mRNA vaccine production, specifically for patients in immune subtypes 2 and 3. In summary, this study may shed new light on the promising approaches of immunotherapy, such as devising mRNA vaccination tailored to applicable glioma recipients.

Indexed as

Antigens, NeoplasmBrain NeoplasmsCancer VaccinesGliomaHumansImmunotherapymRNA VaccinesMutationVaccine DevelopmentVaccines, SyntheticAntigens, NeoplasmCancer VaccinesmRNA VaccinesVaccines, Syntheticgliomaimmune landscapeimmune subtypesmRNA vaccinetumor antigens

Identifiers

PMID34512630
PMCPMC8429949
OpenAlexW3197247174

What OpenQuestion holds

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LicenceCC BY
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.