Evidence map›Paper›PMID 34764994›Full record

ArticleJournal of oncology2021

A Novel Pyroptosis-Related lncRNAs Signature for Predicting the Prognosis of Kidney Renal Clear Cell Carcinoma and Its Associations with Immunity.

Xinfang Tang, Anna Zhang, Yuanyuan Feng, Ying Su, Xiaoyu Wang, Feng Jiang, Jianxin Ma

Abstract read
In one paragraph

Article in Journal of oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Overcoming EGFR-TKI resistance by targeting the tumor microenvironment.Chinese medical journal pulmonary and critical care medicine · 2024
    Review
  3. The roles of pyroptosis in genitourinary diseases.International urology and nephrology · 2024
    Review
  4. Article
  5. The Role of Pyroptosis in the Pathogenesis of Kidney Diseases.Kidney diseases (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. No Time to Die: How Kidney Cancer Evades Cell Death.International journal of molecular sciences · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Xinfang TangDepartment of Nephrology, The Affiliated Lianyungang Oriental Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, The Affiliated Lianyungang Oriental Hospital of Bengbu Medical College, Lianyungang 222042, China.ORCID https://orcid.org/0000-0001-7553-9498
Anna ZhangDepartment of Nephrology, The Affiliated Lianyungang Oriental Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, The Affiliated Lianyungang Oriental Hospital of Bengbu Medical College, Lianyungang 222042, China.ORCID https://orcid.org/0000-0003-1348-7981
Yuanyuan FengDepartment of Oncology, The Affiliated Lianyungang Oriental Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, The Affiliated Lianyungang Oriental Hospital of Bengbu Medical College, Lianyungang 222042, China.ORCID https://orcid.org/0000-0002-4904-3859
Ying SuDepartment of Personnel Division, The Affiliated Lianyungang Oriental Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, The Affiliated Lianyungang Oriental Hospital of Bengbu Medical College, Lianyungang 222042, China.ORCID https://orcid.org/0000-0002-2692-5023
Xiaoyu WangDepartment of Nephrology, The Affiliated Lianyungang Oriental Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, The Affiliated Lianyungang Oriental Hospital of Bengbu Medical College, Lianyungang 222042, China.ORCID https://orcid.org/0000-0002-9075-1769
Feng JiangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.ORCID https://orcid.org/0000-0002-3525-8752
Jianxin MaDepartment of Oncology, The Affiliated Lianyungang Oriental Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, The Affiliated Lianyungang Oriental Hospital of Bengbu Medical College, Lianyungang 222042, China.ORCID https://orcid.org/0000-0002-2102-5616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most common kind of kidney cancer with poor prognosis is clear cell renal cell carcinoma (ccRCC). Pyroptosis is shown to be an inflammatory type of programmed cell death in recent years. In this research, we utilized pyroptosis-related differentially expressed lncRNAs in ccRCC to develop a predictive multi-lncRNA signature. We uncovered 14 lncRNAs with different expression patterns that were linked to ccRCC prognosis. Kaplan-Meier analysis identified a signature of high-risk lncRNAs related to poor prognosis for ccRCC. Furthermore, the AUC of the lncRNA signature was 0.771, indicating that they can be used to predict ccRCC prognosis. In predicting ccRCC prognosis, our risk analysis approach outperformed standard clinicopathological characteristics. In the low-risk group, GSEA indicated tumor-related pathways. T-cell functions such as T-cell coinhibition and T-cell costimulation were found to be expressed differently in two groups. Immune checkpoints including PD-1, LAG3, CTLA4, and BTLA were also differently expressed between the two groups. In patients with ccRCC, we created a 14-lncRNA-based predictor as a robust prognostic and predictive tool for OS.

Identifiers

PMID34764994
PMCPMC8577956

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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.