Evidence map›Paper›PMID 36851271›Full record

ReviewVaccines2023

Overcoming Suppressive Tumor Microenvironment by Vaccines in Solid Tumor.

Ya-Jia Xie, Wen-Qian Liu, Dan Li, Jin-Cai Hou, Paolo Saul Coghi, Xing-Xing Fan

Open access · goldAbstract readReview
In one paragraph

Review in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

11 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

6 authors at 2 institutions in 2 countries.

Ya-Jia XieState Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau 999078, China.
Wen-Qian LiuState Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau 999078, China.
Dan LiBeijing Wante'er Biological Pharmaceutical Co., Ltd., No. 32 yard, East 2nd Road, Yanqi Economic Development Zone, Huairou District, Beijing 101400, China.
Jin-Cai HouBeijing Wante'er Biological Pharmaceutical Co., Ltd., No. 32 yard, East 2nd Road, Yanqi Economic Development Zone, Huairou District, Beijing 101400, China.
Paolo Saul CoghiState Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau 999078, China.ORCID 0000-0002-0015-1453
Xing-Xing FanState Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau 999078, China.
Macau University of Science and Technology · MOBeijing Wantai Biological Pharmacy (China) · CN

Funding

Macau University of Science and Technology 0003/2018/A1
6 · The paper itself

Abstract

Conventional vaccines are widely used to boost human natural ability to defend against foreign invaders, such as bacteria and viruses. Recently, therapeutic cancer vaccines attracted the most attention for anti-cancer therapy. According to the main components, it can be divided into five types: cell, DNA, RNA, peptide, and virus-based vaccines. They mainly perform through two rationales: (1) it trains the host immune system to protect itself and effectively eradicate cancer cells; (2) these vaccines expose the immune system to molecules associated with cancer that enable the immune system to recognize and destroy cancer cells. In this review, we thoroughly summarized the potential strategies and technologies for developing cancer vaccines, which may provide critical achievements for overcoming the suppressive tumor microenvironment through vaccines in solid tumors.

Indexed as

cancer vaccinesimmunosuppressive TMEimmunotherapynanovaccinessolid tumor

Identifiers

PMID36851271
PMCPMC9964970
OpenAlexW4319755445

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.