Evidence map›Paper›PMID 35444701›Full record

ArticleJournal of oncology2022

Identification of EMT-Related lncRNAs as Potential Prognostic Biomarkers and Therapeutic Targets for Pancreatic Adenocarcinoma.

Yanyao Deng, Hai Hu, Le Xiao, Ting Cai, Wenzhe Gao, Hongwei Zhu, Shuai Wang, Jixing Liu

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  4. Review
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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

8 authors at 3 institutions in 1 country.

Yanyao DengDepartment of Rehabilitation, The First Hospital of Changsha, Changsha, Hunan Province, China.
Hai HuDepartment of Orthopedics, The Third Xiangya Hospital, Central South University, Changsha, China.
Le XiaoDepartment of Rehabilitation, The First Hospital of Changsha, Changsha, Hunan Province, China.
Ting CaiDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-8910-3289
Wenzhe GaoDepartment of Hepatopancreatobiliary Surgery, The Third Xiangya Hospital, Central South University, Changsha, China.
Hongwei ZhuDepartment of Hepatopancreatobiliary Surgery, The Third Xiangya Hospital, Central South University, Changsha, China.
Shuai WangDepartment of Hepatopancreatobiliary Surgery, The Third Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-0436-4683
Jixing LiuDepartment of Nephrology, Institute of Nephrology, 2nd Affiliated Hospital of Hainan Medical University, Hainan, China.ORCID https://orcid.org/0000-0002-5402-0221
Central South University · CNThe First Hospital of Changsha · CNHainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) can promote carcinoma progression by multiple mechanisms; many studies demonstrated the invasiveness of pancreatic adenocarcinoma (PAAD) associated with the EMT, but how it acts through an lncRNA-dependent manner is unknown. Here, we investigated 146 samples from The Cancer Genome Atlas (TCGA) and 92 samples from the International Cancer Genome Consortium (ICGC). By gene set variation analysis (GSVA) and weighted correlation network analysis (WGCNA), we explored the EMT-related long noncoding RNAs (EMTlnc). Then, we performed univariate Cox regression analysis to screen their prognostic value for PAAD. The least absolute contraction and selection operator (LASSO) Cox regression was used to establish EMT-related lncRNA prognostic signal (EMT-LPS). In addition, we established a competitive endogenous ceRNA network. Then, we identified 33 prognostic EMTlnc as prognostic lncRNAs and established an EMT-LPS which showed strong prognostic ability in stratification analysis. By corresponding risk scores, patients were divided into low-risk and high-risk subgroups. Principal component analysis (PCA) showed that these subgroups had individual EMT status. Enrichment analysis showed that in the high-risk subgroup, biological processes, pathways, and hallmarks related to malignant tumors are more common. What is more, we constructed a nomogram that had powerful ability to predict the overall survival rate (OS) of PAAD patients in two datasets. So, EMT-LPS are a principal element in PAAD's carcinoma progression and may help us in choosing the way of prognosis assessment and provide some clues to design the new drugs for PAAD.

Identifiers

PMID35444701
PMCPMC9015861
OpenAlexW4223433735

What OpenQuestion holds

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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.