Evidence map›Paper›PMID 35751033›Full record

ArticleBiological procedures online2022

A novel 7 RNA-based signature for prediction of prognosis and therapeutic responses of wild-type BRAF cutaneous melanoma.

Ruizheng Sun, Yaozhong Liu, Cheng Lei, Zhenwei Tang, Lixia Lu

Open access · goldAbstract read
In one paragraph

Article in Biological procedures online, 2022. 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
–field-weighted citation impact, top 94% 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, 0 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

5 authors at 3 institutions in 1 country.

Ruizheng SunDepartment of Dermatology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 41008, Hunan, China.
Yaozhong LiuDepartment of Cardiology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Cheng LeiClinical Medicine Eight-Year Program, Central South University, Changsha, China.
Zhenwei TangDepartment of Dermatology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 41008, Hunan, China. 2204140108@csu.edu.cn.
Lixia LuDepartment of Dermatology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 41008, Hunan, China. lulixia@csu.edu.cn.
Central South University · CNSecond Xiangya Hospital of Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognosis of wild-type BRAF cutaneous melanoma (WT Bf-CM) patients remains poor due to the lack of therapeutic options. However, few studies have investigated the factors contributing to the prognosis of WT Bf-CM patients.

methodsIn this paper, we proposed and validated a novel 7-RNA based signature to predict the prognosis of WT Bf-CM by analyzing the information from TCGA database.

resultsDependence of this signature to other clinical factors were verified and a nomogram was also drawn to promote its application in clinical practice. Functional analysis suggested that the predictive function of this signature might attribute to the prediction of the up-regulation of RNA splicing, transcription, and cellular proliferation in the high-risk group, which have been demonstrated to be linked to malignancy of cancer. Moreover, functional analysis and therapy response analysis supported that the prognosis is highly related to PI3K/Akt/mTOR pathway among WT Bf-CM patients.

conclusionCollectively, this study will provide a preliminary bioinformatics evidence for the molecular mechanism and potential drug targets that could improving WT Bf-CM prognosis.

Indexed as

BRAFMelanomamTORPrognosisSignatureTCGA

Identifiers

PMID35751033
PMCPMC9233353
OpenAlexW4283459037

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.