Evidence map›Paper›PMID 34542422›Full record

ArticleAging2021

Identification of clinical trait-related small RNA biomarkers with weighted gene co-expression network analysis for personalized medicine in endocervical adenocarcinoma.

Zhiwen Shi, Xinyu Qu, Chenyan Guo, Lihong Zhang, Chuyue Peng, Zhu Xie, Keqin Hua, Junjun Qiu

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2021. 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
0.2field-weighted citation impact, top 56% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  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

8 authors at 3 institutions in 1 country.

Zhiwen ShiObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Xinyu QuObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Chenyan GuoObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Lihong ZhangObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Chuyue PengState Key Laboratory of Genetic Engineering, MOE Key Laboratory of Contemporary Anthropology, and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China.
Zhu XieState Key Laboratory of Genetic Engineering, MOE Key Laboratory of Contemporary Anthropology, and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China.
Keqin HuaObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Junjun QiuObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Obstetrics and Gynecology Hospital of Fudan University · CNState Key Laboratory of Genetic EngineeringFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endocervical adenocarcinoma (EAC) is an aggressive type of endocervical cancer. At present, molecular research on EAC mainly focuses on the genome and mRNA transcriptome, the investigation of small RNAs in EAC has not been fully described. Here, we systematically explored small RNAs in 14 EAC patients with different subtypes using small RNA sequencing. MiRNAs and tRNA-derived RNAs (tDRs) accounted for the majority of mapped reads and the total number of miRNAs and tDRs maintained a relative balance. To explore the correlations between small RNAs expression and EAC with different clinical characteristics, we performed the weighted gene co-expression network analysis (WGCNA) and screened for hub small RNAs. From the key modules, we identified 9 small RNAs that were significantly related to clinical characteristics in EAC patients. Gene ontology and pathway analyses revealed that these molecules were involved in the pathogenesis of EAC. Our work provided new insights into EAC pathogenesis and successfully identified several small RNAs as candidate biomarkers for diagnosis and prognosis of EAC.

Indexed as

AdenocarcinomaGene OntologyPrecision MedicineUterine Cervical NeoplasmsFemaleGene Expression ProfilingHumansMicroRNAsMiddle AgedRNA, TransferSequence Analysis, RNAMicroRNAsRNA, Transferbiomarkersendocervical adenocarcinomasmall RNA sequencingtDRsWGCNA

Identifiers

PMID34542422
PMCPMC8507262
OpenAlexW3199149284

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.