Evidence map›Paper›PMID 35127707›Full record

ArticleFrontiers in cell and developmental biology2021

Identification of Tumor Antigens and Design of mRNA Vaccine for Colorectal Cancer Based on the Immune Subtype.

Cong Liu, Dimitri Papukashvili, Yu Dong, Xingyun Wang, Xing Hu, Nuo Yang, Jie Cai, Fengfei Xie, Nino Rcheulishvili, Peng George Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

10 authors at 1 institution in 1 country.

Cong LiuSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Dimitri PapukashviliSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Yu DongDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China.
Xingyun WangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Xing HuSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Nuo YangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Jie CaiSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Fengfei XieSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Nino RcheulishviliSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Peng George WangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Southern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

mRNA vaccines have become a promising alternative to conventional cancer immunotherapy approaches. However, its application on colorectal cancer (CRC) remains poorly understood. We herein identified potential antigens for designing an effective mRNA vaccine, further to build an immune landscape for the accurate selection of patients for mRNA vaccine therapy. Raw transcriptome data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were retrieved. Consensus clustering algorithm was applied to divide the CRC samples into four immune subtypes. Immunogenomics analysis was further integrated to characterize the immune microenvironment of each immune subtype. Six tumor antigens were found to be associated with poor prognosis and infiltration of antigen-presenting cells (APCs) in CRC patients. Furthermore, each of the immune subtypes showed differential cellular and molecular features. The IS2 and IS4 exhibited significantly improved survival and higher immune cell infiltration compared with IS1 and IS3. Immune checkpoint molecules and human leukocyte antigen also showed significant differential expression in four immune subtypes. Moreover, we performed graph structure learning-based dimensionality reduction to visualize the immune landscape of CRC. Our results revealed a complex immune landscape that may provide directions for mRNA vaccine treatment of CRC and define appropriate vaccination patients.

Indexed as

colorectal cancerimmune landscapeimmune subtypemRNA vaccinetumor antigenstumor immune microenvironment

Identifiers

PMID35127707
PMCPMC8811447
OpenAlexW4205847210

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.