Evidence map›Paper›PMID 36035179›Full record

ArticleFrontiers in genetics2022

SETD2 regulates gene transcription patterns and is associated with radiosensitivity in lung adenocarcinoma.

Zihang Zeng, Jianguo Zhang, Jiali Li, Yangyi Li, Zhengrong Huang, Linzhi Han, Conghua Xie, Yan Gong

Abstract 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  5. YTHDFs as radiotherapy checkpoints in tumor immunity.The Journal of experimental medicine · 2025
    Review
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  7. Review
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  10. Article
  11. Exploring the role of mFrontiers in oncology · 2024
    Review
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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.

Zihang ZengDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jianguo ZhangDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jiali LiDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yangyi LiDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhengrong HuangDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Linzhi HanDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Conghua XieDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yan GongDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) has high morbidity and mortality worldwide, and its prognosis remains unsatisfactory. Identification of epigenetic biomarkers associated with radiosensitivity is beneficial for precision medicine in LUAD patients. SETD2 is important in repairing DNA double-strand breaks and maintaining chromatin integrity. Our studies established a comprehensive analysis pipeline, which identified SETD2 as a radiosensitivity signature. Multi-omics analysis revealed enhanced chromatin accessibility and gene transcription by SETD2. In both LUAD bulk RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq), we found that SETD2-associated positive transcription patterns were associated with DNA damage responses. SETD2 knockdown significantly upregulated tumor cell apoptosis, attenuated proliferation and migration of LUAD tumor cells, and enhanced radiosensitivity

Indexed as

DNA damage responseepigeneticlung adenocarcinomamulti-omicsprognosisradiosensitivitySETD2

Identifiers

PMID36035179
PMCPMC9399372

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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.