Evidence map›Paper›PMID 33613617›Full record

ArticleFrontiers in genetics2020

Identification of a Metastasis-Associated Gene Signature of Clear Cell Renal Cell Carcinoma.

Suhua Gao, Lei Yan, Hongtao Zhang, Xiaoguang Fan, Xiaojing Jiao, Fengmin Shao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Suhua GaoHe'nan Provincial Key Laboratory of Kidney Disease and Immunology, Department of Nephrology, He'nan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Lei YanHe'nan Provincial Key Laboratory of Kidney Disease and Immunology, Department of Nephrology, He'nan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Hongtao ZhangHe'nan Provincial Key Laboratory of Kidney Disease and Immunology, Department of Nephrology, He'nan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoguang FanHe'nan Provincial Key Laboratory of Kidney Disease and Immunology, Department of Nephrology, He'nan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Xiaojing JiaoHe'nan Provincial Key Laboratory of Kidney Disease and Immunology, Department of Nephrology, He'nan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Fengmin ShaoHe'nan Provincial Key Laboratory of Kidney Disease and Immunology, Department of Nephrology, He'nan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Henan Provincial People's Hospital · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is one of the most frequent pathological subtypes of kidney cancer, accounting for ~70-75%, and the major cause of mortality is metastatic disease. The difference in gene expression profiles between primary ccRCC tumors and metastatic tumors has not been determined. Thus, we report integrated genomic and transcriptomic analysis for identifying differentially expressed genes (DEGs) between primary and metastatic ccRCC tumors to understand the molecular mechanisms underlying the development of metastases. The microarray datasets GSE105261 and GSE85258 were obtained from the Gene Expression Omnibus (GEO) database, and the R package limma was used for DEG analyses. In summary, the results described herein provide important molecular evidence that metastatic ccRCC tumors are different from primary tumors. Enrichment analysis indicated that the DEGs were mainly enriched in ECM-receptor interaction, platelet activation, protein digestion, absorption, focal adhesion, and the PI3K-Akt signaling pathway. Moreover, we found that DEGs associated with a higher level of tumor immune infiltrates and tumor mutation burden were more susceptible to poor prognosis of ccRCC. Specifically, our study indicates that seven core genes, namely the collagen family (COL1A2, COL1A1, COL6A3, and COL5A1), DCN, FBLN1, and POSTN, were significantly upregulated in metastatic tumors compared with those in primary tumors and, thus, potentially offer insight into novel therapeutic and early diagnostic biomarkers of ccRCC.

Indexed as

biomarkerclear cell renal cell carcinomaimmune infiltrationmetastasistumor mutation burden

Identifiers

PMID33613617
PMCPMC7889952
OpenAlexW3127388214

What OpenQuestion holds

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LicenceCC BY
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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.