Evidence map›Paper›PMID 37345193›Full record

ReviewCancers2023

Interdependencies of the Neuronal, Immune and Tumor Microenvironment in Gliomas.

Alexander Yuile, Joe Q Wei, Aditya A Mohan, Kelly M Hotchkiss, Mustafa Khasraw

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Clinical outcomes and management ofNeuro-oncology practice · 2025
    Article
  6. 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

5 authors.

Alexander YuileDepartment of Medical Oncology, Royal North Shore Hospital, Reserve Road, St Leonards, NSW 2065, Australia.
Joe Q WeiDepartment of Medical Oncology, Royal North Shore Hospital, Reserve Road, St Leonards, NSW 2065, Australia.ORCID 0000-0003-1944-1079
Aditya A MohanThe Preston Robert Tisch Brain Tumor Center, Duke University, Durham, NC 27710, USA.
Kelly M HotchkissThe Preston Robert Tisch Brain Tumor Center, Duke University, Durham, NC 27710, USA.
Mustafa KhasrawThe Preston Robert Tisch Brain Tumor Center, Duke University, Durham, NC 27710, USA.ORCID 0000-0003-3249-9849

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
Viral Oncology Training GrantT32CA009111 · NCI · DUKE UNIVERSITY · PI LUFTIG, MICAH A. · 1985 to 2023
$8.9M
NCI NIH HHS T32 CA009111NIGMS NIH HHS T32 GM007171
6 · The paper itself

Abstract

Gliomas are the most common primary brain malignancy and are universally fatal. Despite significant breakthrough in understanding tumor biology, treatment breakthroughs have been limited. There is a growing appreciation that major limitations on effective treatment are related to the unique and highly complex glioma tumor microenvironment (TME). The TME consists of multiple different cell types, broadly categorized into tumoral, immune and non-tumoral, non-immune cells. Each group provides significant influence on the others, generating a pro-tumor dynamic with significant immunosuppression. In addition, glioma cells are highly heterogenous with various molecular distinctions on the cellular level. These variations, in turn, lead to their own unique influence on the TME. To develop future treatments, an understanding of this complex TME interplay is needed. To this end, we describe the TME in adult gliomas through interactions between its various components and through various glioma molecular phenotypes.

Indexed as

astrocytomaglioblastomagliomaimmune microenvironmenttumor microenvironment

Identifiers

PMID37345193
PMCPMC10216320

What OpenQuestion holds

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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.