Evidence map›Paper›PMID 33194770›Full record

ArticleFrontiers in oncology2020

Wenzhi Li, Chaoqun Xu, Jintao Guo, Ke Liu, Yudi Hu, Dan Wu, Hongkun Fang, Yun Zou, Ziwei Wei, Zhong Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 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
1.0field-weighted citation impact, top 29% 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, 21 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

12 authors at 3 institutions in 1 country.

Wenzhi LiDepartment of Urology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Chaoqun XuSchool of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Jintao GuoSchool of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Ke LiuSchool of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Yudi HuSchool of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Dan WuDepartment of Oncology, Xiamen the Fifth Hospital, Xiamen, China.
Hongkun FangSchool of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Yun ZouDepartment of Urology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ziwei WeiDepartment of Urology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Zhong WangDepartment of Urology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ying ZhouSchool of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Qiyuan LiSchool of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Xiamen University · CNShanghai Ninth People's Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many cancer risk loci act as expression quantitative trait loci (eQTLs) of transcripts including non-coding RNA. Long non-coding RNAs (lncRNAs) are implicated in various human cancers. However, the pathological and clinical impacts of the genetic determinants of lncRNAs in cancers remain largely unknown. In this study, we performed eQTL mapping of lncRNA expression (elncRNA) in 11 TCGA cancer types and characterized the biological processes of elncRNAs in the setting of genomic location, cancer treatment responses, and immune microenvironment. As a result, 10.86% of the

Indexed as

cancerexpression quantitative trait lociinstrumental variable analysislong non-coding RNAtumor immune microenvironmenttumor infiltrating lymphocytes

Identifiers

PMID33194770
PMCPMC7604522
OpenAlexW3093460665

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.