Evidence map›Paper›PMID 36478716›Full record

ArticleFrontiers in public health2022

A novel thinking: DDR axis refines the classification of ccRCC with distinctive prognosis, multi omics landscape and management strategy.

Aimin Jiang, Jiaao Song, Xiao Fang, Yu Fang, Zheng Wang, Bing Liu, Zhenjie Wu, Le Qu, Peng Luo, Linhui Wang

Open access · goldAbstract read
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Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Aimin JiangDepartment of Urology, Changhai Hospital, Navel Medical University (Second Military Medical University), Shanghai, China.
Jiaao SongDepartment of Urology, Changhai Hospital, Navel Medical University (Second Military Medical University), Shanghai, China.
Xiao FangDepartment of Urology, Changzheng Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Yu FangDepartment of Urology, Changhai Hospital, Navel Medical University (Second Military Medical University), Shanghai, China.
Zheng WangDepartment of Urology, Changhai Hospital, Navel Medical University (Second Military Medical University), Shanghai, China.
Bing LiuDepartment of Urology, The Third Affiliated Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Zhenjie WuDepartment of Urology, Changhai Hospital, Navel Medical University (Second Military Medical University), Shanghai, China.
Le QuDepartment of Urology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Linhui WangDepartment of Urology, Changhai Hospital, Navel Medical University (Second Military Medical University), Shanghai, China.
Second Military Medical University · CNChanghai Hospital · CNNanjing General Hospital of Nanjing Military Command · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: DNA damage response and repair (DDR) related signatures play an important role in maintaining genome stability and other biological processes. It also affects the occurrence, development, and treatment of cancer. However, in renal cell carcinoma (RCC), especially clear cell renal carcinoma (ccRCC), the potential association between DDR-related signatures and tumor heterogeneity and tumor microenvironment (TME) remains unclear. Methods: Utilizing unsupervised clustering algorithm, we divided RCC into two subgroups, DCS1 and DCS2, according to the differences in DDR gene expression, and compared the characteristics of the two subgroups through multiple dimensions. Results: Compared with DCS1, DCS2 patients have higher clinical stage/grade and worse prognosis, which may be related to active metabolic status and immunosuppression status. At the same time, the high mutation rate in DCS2 may also be an important reason for the prognosis. We also analyzed the sensitivity of the two subgroups to different therapeutic agents and established a subtypes' biomarkers-based prognostic system with good validation results to provide ideas for clinical diagnosis and treatment. Finally, we identified a pivotal role for DDX1 in the DDR gene set, which may serve as a future therapeutic target. Conclusion: This study showed that DDR has an important impact on the development and treatment of RCC. DCS2 subtypes have a poor prognosis, and more personalized treatment and follow-up programs may be needed. The assessment of DDR gene mutations in patients may be helpful for clinical decision-making. DDX1 may be one of the effective targets for RCC treatment in the future.

Indexed as

MultiomicsHumansDDX1DNA damage responsemolecular subtypesmulti-omicsrenal cell carcinoma

Identifiers

PMID36478716
PMCPMC9720257
OpenAlexW4309737614

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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.