Evidence map›Paper›PMID 31275849›Full record

ArticleFrontiers in oncology2019

Genome-Wide Profiling Reveals the Landscape of Prognostic Alternative Splicing Signatures in Pancreatic Ductal Adenocarcinoma.

Chengkun Yang, Qiongyuan Wu, Ketuan Huang, Xiangkun Wang, Tingdong Yu, Xiwen Liao, Jianlu Huang, Guangzhi Zhu, Yizhen Gong, Chuangye Han and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 37 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

13 authors at 3 institutions in 1 country.

Chengkun YangDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qiongyuan WuDepartment of Tuina, the First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China.
Ketuan HuangDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiangkun WangDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Tingdong YuDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiwen LiaoDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jianlu HuangDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guangzhi ZhuDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yizhen GongDepartment of Colorectal and Anal Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Chuangye HanDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Hao SuDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Wei QinDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Tao PengDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNGuangxi University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive lethal malignancy. Identification of potential alternative splicing (AS) prognostic indicators and related splicing pathways for the prediction of PDAC outcomes is lacking but urgently needed. A combined strategy of prognostic assessment and computational biology was performed to investigate survival-related AS signatures and their correlation with splicing factors. The prognostic signatures of each type were conducted according to the top 10 prognosis-related AS events, which were filtered through univariate Cox regression analysis. A time-dependent receiver operating characteristic curve was constructed to access the predictive accuracy of prognostic signatures. The independent predictors were identified using multivariate Cox regression analysis. Potential regulation mechanisms between splicing factors and splicing events were investigated through regulatory networks and correlation analyses. A total of 915 overall survival (OS) and 480 recurrence-free survival (RFS)-related AS events were identified in 120 patients with PDAC. The independent prognostic signatures for each type displayed favorable accuracy for the prediction of OS and short-term RFS [area under the curves were >0.6] except for the Exclusive Exons type. The splicing regulatory networks showed potential interactions between splicing factors and AS parent genes. Moreover, a positive relationship was detected among each splicing factor and Percent Spliced In values of prognostic signatures. Our results provide a view of the landscape of prognosis-related AS events and reveal the potential correlation between splicing factors and prognostic signatures, which may represent novel outcome-predictor markers and opportunities for targeted therapy for PDAC.

Indexed as

alternative splicingcorrelationPDACprognosissplicing factor

Identifiers

PMID31275849
PMCPMC6591313
OpenAlexW2952850801

What OpenQuestion holds

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LicenceCC BY
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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.