Evidence map›Paper›PMID 36466844›Full record

ArticleFrontiers in immunology2022

Combined bulk RNA-seq and single-cell RNA-seq identifies a necroptosis-related prognostic signature associated with inhibitory immune microenvironment in glioma.

Sicheng Wan, Ulrich Aymard Ekomi Moure, Ruochen Liu, Chaolong Liu, Kun Wang, Longfei Deng, Ping Liang, Hongjuan Cui

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Sicheng WanThe State Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing, China.
Ulrich Aymard Ekomi MoureCancer Center, Medical Research Institute, Southwest University, Chongqing, China.
Ruochen LiuThe State Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing, China.
Chaolong LiuThe State Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing, China.
Kun WangThe State Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing, China.
Longfei DengThe State Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing, China.
Ping LiangDepartment of Neurosurgery, Chongqing Children's Hospital, Chongqing, China.
Hongjuan CuiThe State Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing, China.
Southwest University · CNState Key Laboratory of Silkworm Genomic BiologyChildren's Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Necroptosis is a programmed cell death playing a significant role in cancer. Although necroptosis has been related to tumor immune environment (TIME) remodeling and cancer prognosis, however, the role of necroptosis-related genes (NRGs) in glioma is still elusive. In this study, a total of 159 NRGs were obtained, and parameters such as mutation rate, copy number variation (CNV), and relative expression level were assessed. Then, we constructed an 18-NRGs-based necroptosis-related signature (NRS) in the TCGA dataset, which could predict the patient's prognosis and was validated in two external CGGA datasets. We also explored the correlation between NRS and glioma TIME, chemotherapy sensitivity, and certain immunotherapy-related factors. The two necroptosis-related subtypes were discovered and could also distinguish the patients' prognosis. Through the glioblastoma (GBM) scRNA-seq data analysis, NRGs' expression levels in different GBM patient tissue cell subsets were investigated and the relative necroptosis status of different cell subsets was assessed, with the microglia score culminating among all. Moreover, we found a high infiltration level of immunosuppressive cells in glioma TIME, which was associated with poor prognosis in the high-NRS glioma patient group. Finally, the necroptosis suppressor CASP8 exhibited a high expression in glioma and was associated with poor prognosis. Subsequent experiments were performed in human glioma cell lines and patients' tissue specimens to verify the bioinformatic analytic findings about CASP8. Altogether, this study provides comprehensive evidence revealing a prognostic value of NRGs in glioma, which is associated with TIME regulation.

Indexed as

GlioblastomaGliomaDNA Copy Number VariationsHumansNecroptosisPrognosisRNA-SeqTumor Microenvironmentgliomanecroptosis-related genenecroptosis-related prognostic signaturesingle cell RNA seqtumor immune microenvironment

Identifiers

PMID36466844
PMCPMC9713702
OpenAlexW4309613942

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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.