Evidence map›Paper›PMID 39281723›Full record

ArticleJournal of the National Cancer Center2024

DCS, a novel classifier system based on disulfidptosis reveals tumor microenvironment heterogeneity and guides frontline therapy for clear cell renal carcinoma.

Aimin Jiang, Wenqiang Liu, Ying Liu, Junyi Hu, Baohua Zhu, Yu Fang, Xuenan Zhao, Le Qu, Juan Lu, Bing Liu and 4 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Center, 2024. 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.

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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

14 authors.

Aimin JiangDepartment of Urology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Wenqiang LiuDepartment of Urology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Ying LiuDepartment of Urology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Junyi HuDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Baohua ZhuDepartment of Urology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Yu FangDepartment of Urology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Xuenan ZhaoCenter for Translational Medicine, Naval Medical University (Second Military Medical University), Shanghai, China.
Le QuDepartment of Urology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Juan LuVocational Education Center, Naval 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.
Lin QiDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
Chen CaiDepartment of Special Clinic, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Linhui WangDepartment of Urology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emerging evidence suggests that cell deaths are involved in tumorigenesis and progression, which may be treated as a novel direction of cancers. Recently, a novel type of programmed cell death, disulfidptosis, was discovered. However, the detailed biological and clinical impact of disulfidptosis and related regulators remains largely unknown. Methods: In this work, we first enrolled pancancer datasets and performed multi-omics analysis, including gene expression, DNA methylation, copy number variation and single nucleic variation profiles. Then we deciphered the biological implication of disulfidptosis in clear cell renal cell carcinoma (ccRCC) by machine learning. Finally, a novel agent targeting at disulfidptosis in ccRCC was identified and verified. Results: We found that disulfidptosis regulators were dysregulated among cancers, which could be explained by aberrant DNA methylation and genomic mutation events. Disulfidptosis scores were depressed among cancers and negatively correlated with epithelial mesenchymal transition. Disulfidptosis regulators could satisfactorily stratify risk subgroups in ccRCC, and a novel subtype, DCS3, owning with disulfidptosis depression, insensitivity to immune therapy and aberrant genome instability were identified and verified. Moreover, treating DCS3 with NU1025 could significantly inhibit ccRCC malignancy. Conclusion: This work provided a better understanding of disulfidptosis in cancers and new insights into individual management based on disulfidptosis.

Indexed as

DisulfidptosisMulti omicsPancancerTumor microenvironmentTumor related pathways

Identifiers

PMID39281723
PMCPMC11401502

What OpenQuestion holds

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Registered trials

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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.