Evidence map›Paper›PMID 31094363›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Identification of SEC61G as a Novel Prognostic Marker for Predicting Survival and Response to Therapies in Patients with Glioblastoma.

Bo Liu, Jingping Liu, Yuxiang Liao, Chen Jin, Zhiping Zhang, Jie Zhao, Kun Liu, Hao Huang, Hui Cao, Quan Cheng

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. SEC61G assistsProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. Article
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  17. Review
  18. Article
  19. Effect of the 3q26-coding oncogeneFrontiers in physiology · 2022
    Article
  20. 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

10 authors at 4 institutions in 1 country.

Bo LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China (mainland).
Jingping LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China (mainland).
Yuxiang LiaoDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China (mainland).
Chen JinDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China (mainland).
Zhiping ZhangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China (mainland).
Jie ZhaoDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China (mainland).
Kun LiuDepartment of Neurosurgery, The Second People's Hospital of Hunan Province, The Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China (mainland).
Hao HuangDepartment of Neurosurgery, The Second People's Hospital of Hunan Province, The Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China (mainland).
Hui CaoDepartment of Psychiatry, The Second People's Hospital of Hunan Province, The Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China (mainland).
Quan ChengDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China (mainland).
Xiangya Hospital Central South University · CNCentral South University · CNHunan University · CNSecond Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The survival and therapeutic outcome vary greatly among glioblastoma (GBM) patients. Treatment resistance, including resistance to temozolomide (TMZ) and radiotherapy, is a great obstacle for these therapies. In this study, we aimed to evaluate the predictive value of SEC61G on survival and therapeutic response in GBM patients. MATERIAL AND METHODS Survival analyses were performed to assess the correlation between SEC61G expression and survival of GBM patients from the Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) datasets. Univariate and multivariate Cox proportional hazard regression analysis was introduced to determine prognostic factors with independent impact power. Gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were conducted to illustrate possible biological functions of SEC61G. RESULTS High expression of SEC61G was significantly correlated with poor prognosis in all GBM patients. High expression of SEC61G was also associated with poor outcome in those who received TMZ treatment or radiotherapy in TCGA GBM cohort. Univariate and multivariate Cox proportional hazards regression demonstrated that SEC61G was an independent prognostic factor affecting the prognosis and therapeutic outcome. The combination of age, SEC61G expression, and MGMT promoter methylation in survival analysis could provide better outcome assessment. Finally, a strong correlation between SEC61G expression and Notch pathway was observed in GSEA and GSVA, which suggested a possible mechanism that SEC61G affected survival and TMZ resistance. CONCLUSIONS SEC61G expression may be a potential prognostic marker of poor survival, and a predictor of poor outcome to TMZ treatment and radiotherapy in GBM patients.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Agents, AlkylatingBiomarkers, TumorBrain NeoplasmsCell Line, TumorCohort StudiesDatabases, GeneticDrug Resistance, NeoplasmFemaleGlioblastomaHumansMaleMiddle AgedPrognosisAntineoplastic Agents, AlkylatingBiomarkers, TumorSEC61G protein, humanSEC Translocation ChannelsTemozolomide

Identifiers

PMID31094363
PMCPMC6536036
OpenAlexW2946514268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.