Evidence map›Paper›PMID 35692505›Full record

ArticleJournal of immunology research2022

Characterization of m6A Methylation Modification Patterns in Colorectal Cancer Determines Prognosis and Tumor Microenvironment Infiltration.

Qingfang Yue, Yuan Zhang, Fei Wang, Fei Cao, Jun Bai, Xianglong Duan

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2022. 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
0.6field-weighted citation impact, top 36% 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, 7 citations in OpenAlex.

  1. Article
  2. Crosstalk between mFrontiers in immunology · 2026
    Review
  3. The mMolecular biomedicine · 2025
    Review
  4. Article
  5. Article
  6. Review
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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 1 country.

Qingfang YueDepartment of Medical Oncology, Shaanxi Provincial People's Hospital, Xi'an, 710068 Shaanxi, China.ORCID https://orcid.org/0000-0003-4664-0305
Yuan ZhangDepartment of Medical Oncology, Shaanxi Provincial People's Hospital, Xi'an, 710068 Shaanxi, China.ORCID https://orcid.org/0000-0003-3540-2205
Fei WangDepartment of Gynecology, Shaanxi Provincial People's Hospital, Xi'an, 710068 Shaanxi, China.ORCID https://orcid.org/0000-0003-2930-8941
Fei CaoDepartment of Medical Oncology, Shaanxi Provincial People's Hospital, Xi'an, 710068 Shaanxi, China.ORCID https://orcid.org/0000-0002-0706-4256
Jun BaiDepartment of Medical Oncology, Shaanxi Provincial People's Hospital, Xi'an, 710068 Shaanxi, China.ORCID https://orcid.org/0000-0003-0359-322X
Xianglong DuanInstitute of Medical Research, Northwestern Polytechnic University, Xi'an, 710072 Shaanxi, China.ORCID https://orcid.org/0000-0002-2717-8656
Shanxi Medical University · CNNorthwestern Polytechnical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cumulative studies have suggested that dysregulation of m6A regulators and immunity is highly linked to the prognosis of patients with cancer. However, the potential contribution of m6A modification patterns to the tumor microenvironment (TME) and the therapeutic efficacy of immunotherapy for colorectal cancer (CRC) remain elusive. A comprehensive analysis of the m6A modification profiles of 458 patients with CRC was performed by clustering 21 genes encoding m6A methylation regulators and linking the m6A modification pattern with TME characteristics. Using principal component analysis (PCA), a risk model was constructed to quantify individual m6A modification patterns in patients with CRC. The results indicated that the expression profiles and genetic mutations of 21 genes encoding m6A methylation regulators in CRC were characterized by a high degree of heterogeneity. Three m6A clusters had significant differences in prognosis, m6A modification patterns, and TME characteristics. Furthermore, a risk model, termed m6Ascore, was developed by PCA to quality m6A methylation patterns at an individual level. The m6Ascore could stratify patients into high- and low-m6Ascore groups. Further analyses demonstrated that the m6Ascore had a good predictive performance for overall survival and clinical efficacy of immunotherapy in patients with CRC. Finally, the predictive value of the model was validated by external cohorts. In conclusion, the comprehensive characterization of m6A methylation modification patterns might contribute to our understanding of the TME in CRC and the development of personalized antitumor immunotherapy in the future.

Indexed as

Colorectal NeoplasmsTumor MicroenvironmentAdenosineHumansMethylationPrognosisAdenosine

Identifiers

PMID35692505
PMCPMC9177296
OpenAlexW4281770971

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.