Evidence map›Paper›PMID 37662929›Full record

ArticleFrontiers in immunology2023

Identification of immunogenic cell death-related signature on prognosis and immunotherapy in kidney renal clear cell carcinoma.

Silin Jiang, Yuxiang Dong, Jun Wang, Xi Zhang, Wei Liu, Yong Wei, Hai Zhou, Luming Shen, Jian Yang, Qingyi Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. 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
3.2field-weighted citation impact, top 7% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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 3 institutions in 2 countries.

Silin JiangDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yuxiang DongDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jun WangDepartment of Urology, Nanjing University of Chinese Medicine, Nanjing, China.
Xi ZhangThe State Key Lab of Reproductive; Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wei LiuDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yong WeiDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hai ZhouDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Luming ShenDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jian YangDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qingyi ZhuDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Second Affiliated Hospital of Nanjing Medical University · CNNanjing Medical University · CNNanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immunogenic cell death (ICD) is considered a particular cell death modality of regulated cell death (RCD) and plays a significant role in various cancers. The connection between kidney renal clear cell carcinoma (KIRC) and ICD remains to be thoroughly explored. Methods: We conducted a variety of bioinformatics analyses using R software, including cluster analysis, prognostic analysis, enrichment analysis and immune infiltration analysis. In addition, we performed Quantitative Real-time PCR to evaluate RNA levels of specific ICD genes. The proliferation was measured through Cell Counting Kit-8 (CCK-8) assay and colony-formation assay in RCC cell lines. Results: We determined two ICD subtypes through consensus clustering analysis. The two subtypes showed significantly different clinical outcomes, genomic alterations and tumor immune microenvironment. Moreover, we constructed the ICD prognostic signature based on TF, FOXP3, LY96, SLC7A11, HSP90AA1, UCN, IFNB1 and TLR3 and calculated the risk score for each patient. Kaplan-Meier survival analysis and ROC curve demonstrated that patients in the high-risk group had significantly poorer prognosis compared with the low-risk group. We then validated the signature through external cohort and further evaluated the relation between the signature and clinical features, tumor immune microenvironment and immunotherapy response. Given its critical role in ICD, we conducted further analysis on LY96. Our results indicated that downregulation of LY96 inhibited the proliferation ability of RCC cells. Conclusions: Our research revealed the underlying function of ICD in KIRC and screened out a potential biomarker, which provided a novel insight into individualized immunotherapy in KIRC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsHumansImmunogenic Cell DeathImmunotherapyKidneyPrognosisTumor Microenvironmentimmunogenic cell deathimmunotherapykidney renal clear cell carcinomaprognostic signaturetumor immune microenvironment

Identifiers

PMID37662929
PMCPMC10472448
OpenAlexW4385979934

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.