Evidence map›Paper›PMID 35720326›Full record

ArticleFrontiers in immunology2022

DNA Damage Response Evaluation Provides Novel Insights for Personalized Immunotherapy in Glioma.

Mu Chen, Bingsong Huang, Lei Zhu, Qi Wang, Ying Pang, Meng Cheng, Hao Lian, Min Liu, Kaijun Zhao, Siyi Xu and 2 more

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

12 authors at 2 institutions in 1 country.

Mu ChenDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Bingsong HuangDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Lei ZhuDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Qi WangDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Ying PangDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Meng ChengDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Hao LianDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Min LiuDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Kaijun ZhaoDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Siyi XuDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Jing ZhangDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Chunlong ZhongDepartment of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Shanghai East Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: DNA damage response (DDR) proficiency is the principal mechanism of temozolomide (TMZ) resistance in glioma. Accumulating evidence has also suggested the determining role of DDR in anticancer immunity. We propose that a comprehensive investigation of the DDR landscape can optimize glioma treatment. Methods: We identified the pronounced enrichment of DDR in TMZ-resistant glioma cells by RNA sequencing. Nine differentially expressed genes between TMZ-sensitive/resistant glioma cells were selected to construct the DDR score through lasso regression analysis. Two glioma cohorts from TCGA and CGGA were interrogated to evaluate the predictive ability of DDR score. Multiple algorithms were applied to estimate the immunotherapeutic responses of two DDR phenotypes. Immunohistochemistry was used to determine the protein levels of PD-L1 and TGFβ in glioma specimens. The oncoPredict package was employed to predict the candidate chemotherapy agents. Results: DDR score exhibited a robust prognostic capability in TCGA and CGGA cohorts and served as an independent predictive biomarker in glioma patients. Functional enrichment analyses revealed that high and low DDR score groups were characterized by distinct immune activity and metabolic processes. Elevated levels of infiltrating immune cells (including CD8+ T cells, CD4+ T cells, and dendritic cells) were observed in the high DDR score glioma. Further, high DDR scores correlated with increased mutation burden, up-regulated immune checkpoints, and tumor immunity activation, indicating a profound interplay between DDR score and glioma immunogenicity. In addition, PD-L1 and TGFβ were overexpressed in recurrent glioma specimens compared with primary ones. Finally, we estimated that PI3K inhibitors may serve as latent regimens for high DDR score patients. Conclusion: Our study highlighted the promising prognostic role of DDR score in glioma. Individual assessment of DDR status for patients with glioma may provide new clues for developing immunotherapeutic strategies.

Indexed as

B7-H1 AntigenGliomaDNA DamageHumansImmunotherapyNeoplasm Recurrence, LocalPhosphatidylinositol 3-KinasesTransforming Growth Factor betaB7-H1 AntigenPhosphatidylinositol 3-KinasesTransforming Growth Factor betaDNA damage responseDNA repairgliomaimmune checkpoint blockadeimmunotherapytumor microenvironment

Identifiers

PMID35720326
PMCPMC9204352
OpenAlexW4281696664

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.