Evidence map›Paper›PMID 37692936›Full record

ArticleAmerican journal of translational research2023

The prognostic value of cancer stage-associated genes in clear cell renal cell carcinoma.

Xiao-Sheng Ding, Yi-Chun Hua, Bing-Xuan Han, Juan An, Li-Li Zhou, Wei-Ran Xu, Hui Shi, Xi-Xi Zheng, Wei-Wei Shi, Xiao-Yan Li

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. 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
0.5field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 1 country.

Xiao-Sheng DingDepartment of Oncology, Beijing Tiantan Hospital, Capital Medical University Beijing 100070, China.
Yi-Chun HuaDepartment of Oncology, Beijing Tiantan Hospital, Capital Medical University Beijing 100070, China.
Bing-Xuan HanDepartment of Physical Education, Shanxi Medical University Taiyuan 030001, Shanxi, China.
Juan AnDepartment of Oncology, Beijing Tiantan Hospital, Capital Medical University Beijing 100070, China.
Li-Li ZhouDepartment of Oncology, Beijing Tiantan Hospital, Capital Medical University Beijing 100070, China.
Wei-Ran XuDepartment of Oncology, Beijing Tiantan Hospital, Capital Medical University Beijing 100070, China.
Hui ShiDepartment of Oncology, Beijing Tiantan Hospital, Capital Medical University Beijing 100070, China.
Xi-Xi ZhengDepartment of Oncology, Beijing Tiantan Hospital, Capital Medical University Beijing 100070, China.
Wei-Wei ShiDepartment of Oncology, PLA General Hospital Beijing 100853, China.
Xiao-Yan LiDepartment of Oncology, Beijing Tiantan Hospital, Capital Medical University Beijing 100070, China.
Beijing Tian Tan Hospital · CNChinese PLA General Hospital · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesClear cell renal cell carcinoma (ccRCC) is a highly prevalent subtype of malignant renal tumor, but unfortunately, the survival rate remains unsatisfactory. The aim of the present study is to explore genomic features that are correlated with cancer stage, allowing for the identification of subgroups of ccRCC patients with high risk of unfavorable outcomes and enabling prompt intervention and treatment.

methodsWe compared the gene expression levels across ccRCC patients with diverse cancer stages from The Cancer Genome Atlas (TCGA) database, which revealed characteristic genes associated with tumor stage. We then extracted prognostic genes and used least absolute shrinkage selection operator (LASSO) regression to select four genes for feature extraction and the construction of a prognostic risk model.

resultsWe have identified a total of 171 differentially expressed genes (DEGs) that are closely linked to the tumor stage of ccRCC through difference analysis. A prognostic risk model constructed based on the expression levels of ZIC2, TFAP2A-AS1, ITPKA, and SLC16A12 holds significant prognostic value in ccRCC. The results of the functional enrichment analysis imply that the DEGs are mainly involved in the regulation of immune-related signaling pathways, and therefore may have a significant function in immune system regulation of ccRCC.

conclusionsOur study has successfully identified significant DEGs between high- and low-staging groups of ccRCC using bioinformatics methods. The construction of a prognostic risk model based on the expression levels of ZIC2, TFAP2A-AS1, ITPKA, and SLC16A12 has displayed promising prognostic significance, indicating its valuable potential for clinical application.

Indexed as

bioinformaticscancer stagingClear cell renal cell carcinomadifferentially expressed genesprognosis

Identifiers

PMID37692936
PMCPMC10492068
OpenAlexW4386592592

What Socratic holds

Textmetadata
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 Socratic graph.