Evidence map›Paper›PMID 40491925›Full record

ArticleFrontiers in immunology2025

Correlation study of LINC02609 and SNHG17 as prognostic biomarkers of kidney renal clear cell carcinoma and therapeutic sensitivity based on public data and

Chaoqun Xing, Weiwei Zou, Yangqin Li, Ti Zhang, Fan Yao, Zhi-Yong Yao, Xiao-Liang Xing

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Chaoqun Xing *The First Affiliated Hospital of Hunan Medical University, School of Public Health and Emergency Response, Hunan University of Medicine, Huaihua, Hunan, China.
Weiwei Zou *Gynecological Oncology Department, The Second People's Hospital of Huaihua, Huaihua, Hunan, China.
Yangqin Li *The First Affiliated Hospital of Hunan Medical University, School of Public Health and Emergency Response, Hunan University of Medicine, Huaihua, Hunan, China.
Ti ZhangThe First Affiliated Hospital of Hunan Medical University, School of Public Health and Emergency Response, Hunan University of Medicine, Huaihua, Hunan, China.
Fan YaoThe First Affiliated Hospital of Hunan Medical University, School of Public Health and Emergency Response, Hunan University of Medicine, Huaihua, Hunan, China.
Zhi-Yong YaoThe First Affiliated Hospital of Hunan Medical University, School of Public Health and Emergency Response, Hunan University of Medicine, Huaihua, Hunan, China.
Xiao-Liang XingThe First Affiliated Hospital of Hunan Medical University, School of Public Health and Emergency Response, Hunan University of Medicine, Huaihua, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cuprotosis, a newly identified form of regulated cell death, has emerged as a potential therapeutic target for cancers. Kidney renal clear cell carcinoma (KIRC) is frequently metastatic at diagnosis, resulting in poor prognosis. This study aimed to identify prognostic biomarkers and construct a risk model to improve survival prediction and guide therapeutic strategies for KIRC patients. Methods: Differential expression analysis, Cox regression, and risk modeling were performed using transcriptomic and clinical data. The response to immunotherapy and the sensitivity to chemotherapy drugs were analyzed through the Tumor Immune Dysfunction and Exclusion (TIDE) database and the Genomics of Drug Sensitivity in Cancer2 (GDSC2) database. Functional validation of LINC02609 was conducted in renal carcinoma A498 cells using siRNA-mediated knockdown. Results: LINC02609 and SNHG17 were significantly upregulated in KIRC tissues and independently associated with poor overall survival. The risk model constructed using those two candidate biomarkers (LINC02609 and SNHG17) exhibited high predictive accuracy as measured by the value of area under the curve (AUC). Immune status analysis showed that high- and low-risk KIRC patients exhibited abnormalities immune landscapes. TIDE analysis suggested that the risk model was significantly correlated with multiple immunotherapy-related signatures. RNA-sequencing (RNA-seq) analysis indicated that inhibition of LINC02609 would lead to abnormal activation of the mitogen-activated protein kinases (MAPK) signaling pathway. Conclusion: The candidate biomarker LINC02609 regulates the progression of renal cell carcinoma through the MAPK signaling pathway. The risk model constructed using LINC02609 and SNHG17 was significantly correlated with multiple immunotherapy-related signatures, suggesting that it might be used for the determination of immunotherapy options in KIRC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellKidney NeoplasmsRNA, Long NoncodingCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMalePrognosisBiomarkers, TumorRNA, Long NoncodingchemotherapycupropsisimmunotherapyKIRClncRNAsprognosis

Identifiers

PMID40491925
PMCPMC12146389

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.