Evidence map›Paper›PMID 34321091›Full record

ReviewBiomarker research2021

Targeting neoantigens for cancer immunotherapy.

Xuan Zhao, Xiaoxin Pan, Yi Wang, Yi Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Biomarker research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 80 citations in OpenAlex.

  1. Personalized neoantigen mRNA vaccines for pancreatic cancer: the role of lipid nanoparticle delivery systems.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
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  12. Cell-Based Therapies for Solid Tumors: Challenges and Advances.International journal of molecular sciences · 2025
    Review
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  17. Article
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  19. Cancer immunotherapy of Wilms tumor: a narrative review.Future oncology (London, England) · 2024
    Review
  20. Review
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

4 authors at 2 institutions in 1 country.

Xuan Zhao *Biotherapy Center & Cancer Center, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, China.
Xiaoxin Pan *Shenzhen NeoCura Biotechnology Corporation, 518055, Shenzhen, China.
Yi WangShenzhen NeoCura Biotechnology Corporation, 518055, Shenzhen, China.
Yi ZhangBiotherapy Center & Cancer Center, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, China. yizhang@zzu.edu.cn.
First Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CN

Funding

National Natural Science Foundation of China 81802857National Science and Technology Major Project of China 2020ZX09201-009the National Key Research and Development Program of China 2018YFC1313400
6 · The paper itself

Abstract

Neoantigens, a type of tumor-specific antigens derived from non-synonymous mutations, have recently been characterized as attractive targets for cancer immunotherapy. Owing to the development of next-generation sequencing and utilization of machine-learning algorithms, it has become feasible to computationally predict neoantigens by depicting genetic alterations, aberrant post-transcriptional mRNA processing and abnormal mRNA translation events within tumor tissues. Consequently, neoantigen-based therapies such as cancer vaccines have been widely tested in clinical trials and have demonstrated promising safety and efficacy, opening a new era for cancer immunotherapy. We systematically summarize recent advances in the identification of both personalized and public neoantigens, neoantigen formulations and neoantigen-based clinical trials in this review. Moreover, we discuss future techniques and strategies for neoantigen-based cancer treatment either as a monotherapy or as a combination therapy with radiotherapy, chemotherapy or immune checkpoint inhibitors.

Indexed as

Cancer immunotherapyNeoantigen vaccinePrecision medicine

Identifiers

PMID34321091
PMCPMC8317330
OpenAlexW3184105584

What OpenQuestion holds

Textmetadata
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.