Evidence map›Paper›PMID 40100478›Full record

ArticleDiscover oncology2025

Pan-cancer analysis of the prognosis and immune infiltration of NSUN7 and its potential function in renal clear cell carcinoma.

Jinwei Cui, Shiye Ruan, Zhongyan Zhang, Hailiang Wang, Qian Yan, Yubin Chen, Jiayu Yang, Jike Fang, Qianlong Wu, Sheng Chen and 3 more

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

13 authors.

Jinwei Cui *South China University of Technology School of Medicine, Guangzhou, 51000, China.
Shiye Ruan *Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, 510080, China.
Zhongyan Zhang *Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, 510080, China.
Hailiang WangDepartment of Hepatobiliary Surgery, Weihai Central Hospital, Qingdao University, Weihai, 264400, China.
Qian YanDepartment of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, 510080, China.
Yubin ChenDepartment of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, 510080, China.
Jiayu YangDepartment of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, 510080, China.
Jike FangDepartment of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, 510080, China.
Qianlong WuDepartment of General Surgery, Heyuan People's Hospital, Heyuan, 517000, China.
Sheng ChenSouth China University of Technology School of Medicine, Guangzhou, 51000, China.
Shanzhou Huang *South China University of Technology School of Medicine, Guangzhou, 51000, China. hshanzh@163.com.
Chuanzhao Zhang *South China University of Technology School of Medicine, Guangzhou, 51000, China. zhangchuanzhao@gpdh.org.cn.
Baohua Hou *South China University of Technology School of Medicine, Guangzhou, 51000, China. hbh1000@126.com.

Funding

Guangdong Province's Special Fund for Science and Technology Innovation Strategy ("Major Project + Task List") Project of Heyuan 23051017147335/2022001High-level Hospital Construction Research Project of Heyuan People's Hospital YNKT202202National Natural Science Foundation of China 82072635National Natural Science Foundation of China 82072637National Natural Science Foundation of China 82102961the Science and Technology Program of Guangzhou 202201011642the Science and Technology Program of Guangzhou 2024A04J10016
6 · The paper itself

Abstract

backgroundNSUN7, an enzyme responsible for the RNA m5c modification, has been recognized as a valuable indicator for predicting and diagnosing an array of cancer. Nevertheless, there is still a scarcity of thorough analyses exploring its diagnostic, predictive, and immune system-related importance in various types of cancer.

methodsWe integrated multiple publicly available databases, including TCGA, TISIDB, TISCH2, and UALCAN, to comprehensively investigate the role of NSUN7 in pan-cancer across various omics data types. The research included examining survival rates, genetic mutations, immune cell presence in tumors, analyzing differences in gene expression, and studying individual cells, among other things.

resultsNSUN7 expression showed an increase across 12 cancer types and a decrease in another 12 types. NSUN7 was discovered to be linked with enhanced survival rates in bladder urothelial carcinoma (BLCA), kidney renal clear cell carcinoma (KIRC), kidney renal papillary cell carcinoma (KIRP), lung adenocarcinoma (LUAD), pheochromocytoma and paraganglioma (PCPG), skin cutaneous melanoma (SKCM), and uveal melanoma (UVM).On the other hand, NSUN7 seemed to have a detrimental impact on the prognosis of glioblastoma multiforme/brain lower grade glioma (GBMLGG), adrenocortical carcinoma (ACC),acute myeloid leukemia (LAML), stomach adenocarcinoma (STAD), and brain lower grade glioma (LGG). Furthermore, our experimental validation confirmed the inhibitory effect of NSUN7 on proliferation of renal clear cell carcinoma while elucidating its specific part in blocking cell cycle progression.

conclusionsThe findings underscore the potential utility of NSUN7 as a valuable prognostic indicator for patients and offer insights into the mechanisms underlying cancer initiation and progression.

Indexed as

BioinformaticsDiagnosisNSUN7TCGA

Identifiers

PMID40100478
PMCPMC11920486

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.