Evidence map›Paper›PMID 37261105›Full record

ArticleInternational journal of genomics2023

Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer.

Yinwei Chen, Zhanpeng Liu, Qian Yu, Xu Sun, Shuai Wang, Qingyi Zhu, Jian Yang, Rongjiang Jiang

Open access · goldAbstract read
In one paragraph

Article in International journal of genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 4 institutions in 1 country.

Yinwei ChenDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhanpeng LiuDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qian YuCollege of Pediatrics, Nanjing Medical University, Nanjing, China.
Xu SunDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shuai WangDepartment of Orthopedics, Huai'an No. 1 People's Hospital, Huai'an, China.
Qingyi ZhuDepartment 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.ORCID https://orcid.org/0000-0003-3033-1161
Rongjiang JiangDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0008-5958-668X
Second Affiliated Hospital of Nanjing Medical University · CNHuaian First People’s Hospital · CNJiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-renal transplant patients have a high likelihood of developing renal cancer. However, the underlying biological mechanisms behind the development of renal cancer in post-kidney transplant patients remain to be elucidated. Therefore, this study aimed to investigate the underlying biological mechanism behind the development of renal cell carcinoma in post-renal transplant patients. Methods: Next-generation sequencing data and corresponding clinical information of patients with clear cell renal cell carcinoma (ccRCC) were obtained from The Cancer Genome Atlas Program (TCGA) database. The microarray data of kidney transplant patients with or without rejection response was obtained from the Gene Expression Omnibus (GEO) database. In addition, statistical analysis was conducted in R software. Results: We identified 55 upregulated genes in the transplant patients with rejection from the GEO datasets (GSE48581, GSE36059, and GSE98320). Furthermore, we conducted bioinformatics analyses, which showed that all of these genes were upregulated in ccRCC tissue. Moreover, a prognosis model was constructed based on four rejection-related genes, including Conclusion: In all, our study provides novel insight into the transition from the rejection of renal transplant to renal cancer. Meanwhile,

Identifiers

PMID37261105
PMCPMC10229252
OpenAlexW4377861193

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Registered trials

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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.