Evidence map›Paper›PMID 33585244›Full record

ArticleFrontiers in oncology2020

Pan-Cancer Molecular Characterization of m

Jie Zhu, Jiani Xiao, Min Wang, Daixing Hu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 37 citations in OpenAlex.

  1. RNA modifications in cancer and their detection: a review.Japanese journal of clinical oncology · 2026
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  9. Construction of an enhanced computed tomography radiomics model for non-invasively predicting granzyme A in head and neck squamous cell carcinoma by machine learning.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
    Article
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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

4 authors at 4 institutions in 1 country.

Jie ZhuDepartment of Intensive Care Unit, The People's Hospital of Tongliang District, Chongqing, China.
Jiani XiaoDepartment of Pediatric Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Min WangDepartment of Respiratory and Geriatrics, Chongqing Public Health Medical Center, Chongqing, China.
Daixing HuDepartment of Urology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chongqing Public Health Medical Center · CNFirst Affiliated Hospital of Chongqing Medical University · CNSichuan University · CNThe People's Hospital Tongling · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeN6-methyladenosine (m

methodsWe comprehensively analyzed the properties of m

resultsCD274, CD8A, GZMA, and PRF1 showed similar TILs' characteristics, of which the level of T cells CD8 and T cells CD4 memory activated are consistent with the expression levels of the four IRGs and higher immune infiltration. Besides, CD274, CD8A, GZMA, and PRF1 were positively correlated with the stromal score or immune score in almost all 33 tumor types. All of four IRGs showed impact between tumor pathological stages or clinical outcomes. Among TME type I to type IV, m

conclusionWe identified four crucial IRGs affecting TILs, TME characteristics and clinical parameters. Expression variants of m

Indexed as

N6-methyladenosine methylationpancancer analysisThe Cancer Genome Atlas (TCGA)tumor-infiltrating lymphocytestumor microenvironment

Identifiers

PMID33585244
PMCPMC7876474
OpenAlexW3128375519

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.