Evidence map›Paper›PMID 32879362›Full record

ArticleScientific reports2020

Identification of 12 immune-related lncRNAs and molecular subtypes for the clear cell renal cell carcinoma based on RNA sequencing data.

Weimin Zhong, Bin Chen, Hongbin Zhong, Chaoqun Huang, Jianqiong Lin, Maoshu Zhu, Miaoxuan Chen, Ying Lin, Yao Lin, Jiyi Huang

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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.

Weimin Zhong *The Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, People's Republic of China.
Bin Chen *The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Hongbin ZhongThe Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, People's Republic of China.
Chaoqun HuangThe Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, People's Republic of China.
Jianqiong LinThe Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, People's Republic of China.
Maoshu ZhuThe Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, People's Republic of China.
Miaoxuan ChenThe Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, People's Republic of China.
Ying LinThe Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, People's Republic of China.
Yao LinKey Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, College of Life Sciences, Qishan Campus, Fujian Normal University, Fuzhou, 350117, Fujian Province, People's Republic of China. yaolin@fjnu.edu.cn.
Jiyi HuangThe Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, People's Republic of China. hjy0602@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma (RCC). Despite the existing extensive research, the molecular and pathogenic mechanisms of ccRCC are elusive. We aimed to identify the immune-related lncRNA signature and molecular subtypes associated with ccRCC. By integrating 4 microarray datasets from Gene Expression Omnibus database, we identified 49 immune-related genes. The corresponding immune-related lncRNAs were further identified in the TCGA dataset. 12-lncRNAs prognostic and independent signature was identified through survival analysis and survival difference between risk groups was further identified based on the risk score. Besides, we identified 3 molecular subtypes and survival analysis result showed that cluster 2 has a better survival outcome. Further, ssGSEA enrichment analysis for the immune-associated gene sets revealed that cluster 1 corresponded to a high immune infiltration level. While cluster 2 and cluster 3 corresponded to low and medium immune infiltration level, respectively. In addition, we validated the 12-lncRNA prognostic signature and molecular subtypes in an external validation dataset from the ICGC database. In summary, we identified a 12-lncRNA prognostic signature which may provide new insights into the molecular mechanisms of ccRCC and the molecular subtypes provided a theoretical basis for personalized treatment by clinicians.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellGene Regulatory NetworksHumansKidney NeoplasmsRNA, Long NoncodingTranscriptomeBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID32879362
PMCPMC7467926

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.