Evidence map›Paper›PMID 37686499›Full record

ArticleCancers2023

Classification of Brainstem Gliomas Based on Tumor Microenvironment Status.

Xiong Xiao, Xiaoou Li, Yi Wang, Changcun Pan, Peng Zhang, Guocan Gu, Tian Li, Zhuang Jiang, Yang Zhang, Liwei Zhang

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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.

Xiong XiaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Xiaoou LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Yi WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Changcun PanDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Peng ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Guocan GuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Tian LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Zhuang JiangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Yang ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Liwei ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.

Funding

Beijing Municipal Special Funds for Medical Research JingYiYan 2018-7
6 · The paper itself

Abstract

The inter-tumor heterogeneity of the tumor microenvironment (TME) and how it correlates with clinical profiles and biological characteristics in brainstem gliomas (BSGs) remain unknown, dampening the development of novel therapeutics against BSGs. The TME status was determined with a list of pan-cancer conserved gene expression signatures using a single-sample gene set enrichment analysis (ssGSEA) and was subsequently clustered via consensus clustering. BSGs exhibited a high inter-tumor TME heterogeneity and were classified into four clusters: "immune-enriched, fibrotic", "immune-enriched, non-fibrotic", "fibrotic", and "depleted". The "fibrotic" cluster had a higher proportion of diffuse intrinsic pontine gliomas (

Indexed as

brainstem gliomaclassificationsurvivaltumor microenvironment

Identifiers

PMID37686499
PMCPMC10487167

What OpenQuestion holds

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Registered trials

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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.