Evidence map›Paper›PMID 35496054›Full record

ArticleBioMed research international2022

Dissecting and analyzing the Subclonal Mutations Associated with Poor Prognosis in Diffuse Glioma.

Ming Bai, Xiaolong Wang, Huixue Zhang, Jianjian Wang, Gaysina Lyaysan, Si Xu, Kuo Tian, Tianfeng Wang, Jie Li, Na Wang and 3 more

Abstract read
In one paragraph

Article in BioMed research international, 2022. 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. Review
  2. Article
  3. Signaling pathways in brain tumors and therapeutic interventions.Signal transduction and targeted therapy · 2023
    Review
  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

13 authors.

Ming BaiThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-2122-3639
Xiaolong WangThe Third Affiliated Hospital of Harbin Medical University, Harbin, China.
Huixue ZhangThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jianjian WangThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Gaysina LyaysanBSMU Bashkir State Medical University, Ufa, Russia.
Si XuThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Kuo TianThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Tianfeng WangThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jie LiThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Na WangThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xiaoyu LuThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0003-3256-0312
Xiaoming ZhangThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0003-2430-399X
Lihua WangThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0003-2782-4010

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic and therapeutic implications in diffuse gliomas are still challenging. In this study, we first performed an integrative framework to infer the clonal status of mutations in glioblastomas (GBMs) and low-grade gliomas (LGGs) by using exome sequencing data from TCGA and observed both clonal and subclonal mutations for most mutant genes. Based on the clonal status of a given gene, we systematically investigated its prognostic value in GBM and LGG, respectively. Focusing on the subclonal mutations, our results showed that they were more likely to contribute to the poor prognosis, which could be hardly figured out without considering clonal status. These risk subclonal mutations were associated with some specific genomic features, such as genomic instability and intratumor heterogeneity, and their accumulation could enhance the prognostic value. By analyzing the regulatory mechanisms underlying the risk subclonal mutations, we found that the subclonal mutations of AHNAK and AHNAK2 in GBM and those of NF1 and PTEN in LGG could influence some important molecules and functions associated with glioma progression. Furthermore, we dissected the role of risk subclonal mutations in tumor evolution and found that advanced subclonal mutations showed poorer overall survival. Our study revealed the importance of clonal status in prognosis analysis, highlighting the role of the subclonal mutation in glioma prognosis.

Indexed as

GlioblastomaGliomaExomeHumansMutationPrognosis

Identifiers

PMID35496054
PMCPMC9039777

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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.