Evidence map›Paper›PMID 36118887›Full record

ArticleFrontiers in genetics2022

A novel hypoxia-driven gene signature that can predict the prognosis and drug resistance of gliomas.

Peng Ren, Jing-Ya Wang, Zhi-Rui Zeng, Nan-Xi Li, Hong-Lei Chen, Xin-Ge Peng, Ujjal K Bhawal, Wen-Zhi Guo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Hypoxia-responsive geneJournal of Cancer · 2024
    Article
  7. Article
  8. Drug resistance in glioblastoma: from chemo- to immunotherapy.Cancer drug resistance (Alhambra, Calif.) · 2023
    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

8 authors at 5 institutions in 3 countries.

Peng RenDepartment of Anesthesiology, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China.
Jing-Ya WangDepartment of Anesthesiology, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China.
Zhi-Rui ZengGuizhou Provincial Key Laboratory of Pathogenesis and Drug Research on Common Chronic Diseases, Department of Physiology, School of Basic Medical Sciences, Guizhou Medical University, Guizhou, China.
Nan-Xi LiDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Hong-Lei ChenHengyang Medical College, University of South China, Hengyang, China.
Xin-Ge PengGuizhou Provincial Key Laboratory of Pathogenesis and Drug Research on Common Chronic Diseases, Department of Physiology, School of Basic Medical Sciences, Guizhou Medical University, Guizhou, China.
Ujjal K BhawalDepartment of Biochemistry and Molecular Biology, Nihon University School of Dentistry at Matsudo, Chiba, Japan.
Wen-Zhi GuoDepartment of Anesthesiology, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNGuiyang Medical University · CNHengyang Academy of Agricultural Sciences · CNNational Institutes of Pharmaceutical Research and Development (China) · CNSaveetha University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypoxia spontaneously forms in the interior of glioma tissues and regulates the expression of various genes. However, the status of hypoxia-driven genes in glioma tissues is not completely known. In the current study, RNA-seq data of 695 glioma tissues in The Cancer Genome Atlas (TCGA) were set as a discovery cohort and were used to identify hypoxia-driven genes and construct a novel gene signature. The prognostic values of that signature were verified in data from the TCGA and the Chinese Glioma Genome Atlas (CGGA). The expression and diagnostic values of hypoxia-driven genes were analyzed using immunohistochemistry and receiver operator characteristic curves. Finally, the effects of hypoxia-driven genes on temozolomide (TMZ) resistance were analyzed by western blot, CCK-8 and colony formation assay. A total of 169 hypoxia-driven genes were identified, which were associated with a poor outcome in glioma patients. Among them, 22 genes had a degree score ≥10 and 6 genes (WT1, HOXA2, HOXC6, MMP9, SHOX2 and MYOD1) were selected to construct a signature to classify glioma patients into low- or high-risk groups. That signature had a remarkable prognostic value for glioma patients in TCGA and CGGA. The expression of HOXC6, MMP9, SHOX2 and MYOD1 was associated with hypoxia degree in glioma tissues and in recurrent cases, had a remarkable diagnostic value and a significant relationship with disease free survival in glioma patients. Moreover, SHOX2 was highly expressed in glioma tissues with O-6-methylguanine-DNA methyltransferase (MGMT)-unmethylation and temozolomide (TMZ) resistant glioma cell lines, and associated with MGMT expression. Knockdown the expression of SHOX2 significantly reduced the TMZ-resistance induced by hypoxia in glioma cells. Ultimately, we identified six novel hypoxia-driven genes for reliable prognostic prediction in gliomas and found that SHOX2 might be a potential target to overcome the TMZ resistance induced by hypoxia.

Indexed as

drug resistance genegliomahypoxia-driven geneMGMTprognostic predictionSHOX2

Identifiers

PMID36118887
PMCPMC9478203
OpenAlexW4294168428

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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.