Evidence map›Paper›PMID 39184045›Full record

ReviewFrontiers in oncology2024

Revisiting the potential of regulated cell death in glioma treatment: a focus on autophagy-dependent cell death, anoikis, ferroptosis, cuproptosis, pyroptosis, immunogenic cell death, and the crosstalk between them.

Maowen Luo, Xingzhao Luan, Chaoge Yang, Xiaofan Chen, Suxin Yuan, Youlin Cao, Jing Zhang, Jiaying Xie, Qinglian Luo, Ligang Chen and 3 more

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. 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

13 authors.

Maowen Luo *Department of Neurosurgery, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Xingzhao Luan *Department of Neurosurgery, the Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China.
Chaoge Yang *Department of Neurosurgery, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Xiaofan ChenDepartment of Neurosurgery, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Suxin YuanSchool of Clinical Medicine, the Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China.
Youlin CaoDepartment of Neurosurgery, the Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China.
Jing ZhangSchool of Clinical Medicine, the Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China.
Jiaying XieDepartment of Neurosurgery, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Qinglian LuoDepartment of Neurosurgery, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Ligang ChenDepartment of Neurosurgery, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Shenjie LiDepartment of Neurosurgery, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Wei XiangDepartment of Neurosurgery, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Jie ZhouDepartment of Neurosurgery, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are primary tumors that originate in the central nervous system. The conventional treatment options for gliomas typically encompass surgical resection and temozolomide (TMZ) chemotherapy. However, despite aggressive interventions, the median survival for glioma patients is merely about 14.6 months. Consequently, there is an urgent necessity to explore innovative therapeutic strategies for treating glioma. The foundational study of regulated cell death (RCD) can be traced back to Karl Vogt's seminal observations of cellular demise in toads, which were documented in 1842. In the past decade, the Nomenclature Committee on Cell Death (NCCD) has systematically classified and delineated various forms and mechanisms of cell death, synthesizing morphological, biochemical, and functional characteristics. Cell death primarily manifests in two forms: accidental cell death (ACD), which is caused by external factors such as physical, chemical, or mechanical disruptions; and RCD, a gene-directed intrinsic process that coordinates an orderly cellular demise in response to both physiological and pathological cues. Advancements in our understanding of RCD have shed light on the manipulation of cell death modulation - either through induction or suppression - as a potentially groundbreaking approach in oncology, holding significant promise. However, obstacles persist at the interface of research and clinical application, with significant impediments encountered in translating to therapeutic modalities. It is increasingly apparent that an integrative examination of the molecular underpinnings of cell death is imperative for advancing the field, particularly within the framework of inter-pathway functional synergy. In this review, we provide an overview of various forms of RCD, including autophagy-dependent cell death, anoikis, ferroptosis, cuproptosis, pyroptosis and immunogenic cell death. We summarize the latest advancements in understanding the molecular mechanisms that regulate RCD in glioma and explore the interconnections between different cell death processes. By comprehending these connections and developing targeted strategies, we have the potential to enhance glioma therapy through manipulation of RCD.

Indexed as

anoikisautophagy-dependent cell deathcuproptosisferroptosisgliomaimmunogenic cell deathpyroptosisregulated cell death

Identifiers

PMID39184045
PMCPMC11341384

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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.