Evidence map›Paper›PMID 36917093›Full record

ArticleAging2023

Integrative analysis to screen novel pyroptosis-related LncRNAs for predicting clinical outcome of glioma and validation in tumor tissue.

Shuai Ma, Hongtao Zhao, Fang Wang, Lulu Peng, Heng Zhang, Zaibin Wang, Fan Jiang, Dongtao Zhang, Menglei Yin, Shupeng Li and 3 more

Open access · hybridFull text read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

13 authors at 4 institutions in 1 country.

Shuai MaDepartment of Neurosurgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450053, China.
Hongtao ZhaoDepartment of Neurosurgery, Cancer Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310006, China.
Fang WangDepartment of Neurosurgery, Cancer Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310006, China.
Lulu PengDepartment of Neurosurgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450053, China.
Heng ZhangDepartment of Neurosurgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450053, China.
Zaibin WangDepartment of Neurosurgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450053, China.
Fan JiangDepartment of Neurosurgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450053, China.
Dongtao ZhangDepartment of Neurosurgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450053, China.
Menglei YinDepartment of Neurosurgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450053, China.
Shupeng LiDepartment of Neurosurgery, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, Dalian 116000, China.
Jiaming HuangDepartment of Neurosurgery, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, Dalian 116000, China.
Zhan LiuDepartment of Neurosurgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450053, China.
Shengzhong TaoDepartment of Neurosurgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450053, China.
Second Affiliated Hospital of Zhengzhou University · CNZhejiang Provincial People's Hospital · CNDalian Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPyroptosis, also known as inflammatory necrosis, is a programmed cell death that manifests itself as a continuous swelling of cells until the cell membrane breaks, leading to the liberation of cellular contents, which triggers an intense inflammatory response. Pyroptosis might be a panacea for a variety of cancers, which include immunotherapy and chemotherapy-insensitive tumors such as glioma. Several findings have observed that long non-coding RNAs (lncRNAs) modulate the bio-behavior of tumor cells by binding to RNA, DNA and protein. Nevertheless, there are few studies reporting the effect of lncRNAs in pyroptosis processes in glioma.

methodsThe principal goal of this study was to identify pyroptosis-related lncRNAs (PRLs) utilizing bioinformatic algorithm and to apply PCR techniques for validation in human glioma tissues. The second goal was to establish a prognostic model for predicting the overall survival patients with glioma. Predict algorithm was used to construct prognosis model with good diagnostic precision for potential clinical translation.

resultsNoticeably, molecular subtypes categorized by the PRLs were not distinct from any previously published subtypes of glioma. The immune and mutation landscapes were obviously different from previous subtypes of glioma. Analysis of the sensitivity (IC50) of patients to 30 chemotherapeutic agents identified 22 agents as potential therapeutic agents for patients with low riskscores.

conclusionsWe established an exact prognostic model according to the expression profile of PRLs, which may facilitate the assessment of patient prognosis and treatment patterns and could be further applied to clinical.

Indexed as

GliomaRNA, Long NoncodingAlgorithmsApoptosisHumansPrognosisPyroptosisRNA, Long NoncodingchemotherapyimmunotherapyPRLPM riskscorepyroptosis-related LncRNAtumor immune microenvironment

Identifiers

PMID36917093
PMCPMC10042692
OpenAlexW4324099569

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read24
table measurements read1
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.