Evidence map›Paper›PMID 35211172›Full record

ArticleJournal of oncology2022

Signature of m5C-Related lncRNA for Prognostic Prediction and Immune Responses in Pancreatic Cancer.

Xiangrong Liu, Dan Wang, Shiyu Han, Fang Wang, Jinfeng Zang, Caifeng Xu, Xue Dong

Open access · hybridAbstract read
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 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  11. Biological roles of RNA mBiomarker research · 2022
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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

7 authors at 1 institution in 1 country.

Xiangrong LiuCollege of Nursing, Changchun University of Chinese Medicine, Changchun, China.ORCID https://orcid.org/0000-0001-8248-6398
Dan WangDepartment of Endocrinology, Metabolism and Gastroenterology, The Third Affiliated Clinical Hospital of Changchun University of Chinese Medicine, Changchun, China.ORCID https://orcid.org/0000-0001-7024-544X
Shiyu HanDepartment of Emergency, Qianwei Hospital of Jilin Province, Changchun, China.ORCID https://orcid.org/0000-0002-5878-3429
Fang WangDepartment of Obstetrics & Gynecology, Army Military Medical University First Affiliated Hospital, Chongqing, China.ORCID https://orcid.org/0000-0002-7468-6899
Jinfeng ZangCollege of Nursing, Changchun University of Chinese Medicine, Changchun, China.ORCID https://orcid.org/0000-0003-4631-266X
Caifeng XuCollege of Nursing, Changchun University of Chinese Medicine, Changchun, China.ORCID https://orcid.org/0000-0001-6001-316X
Xue DongCollege of Nursing, Changchun University of Chinese Medicine, Changchun, China.ORCID https://orcid.org/0000-0002-5874-3451
Changchun University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic cancer (PC) has a high mortality and dismal prognosis, predicting to be the second most lethal malignancy. 5-Methylcytosine (m5C) and long noncoding RNAs (lncRNAs) are both crucial in the prognostic outcome and immunotherapeutic effect for PC patients. Therefore, we aimed to create an m5C-related lncRNA signature (m5C-LS) for PC patients' prognosis and treatment.

methodsClinicopathological information and RNAseq data were acquired from The Cancer Genome Atlas (TCGA) database. Pearson's correlation analysis was used to extract m5C-related lncRNAs in PC. Univariate, least absolute shrinkage and selection operator (LASSO), and multivariate Cox analyses were adopted to build an m5C-LS. Kaplan-Meier (K-M), principal component analysis (PCA), and nomogram were utilized to assess model accuracy. In addition, we explored the model's possible immunotherapeutic responses and drug sensitivity targets.

resultsThree m5C-related lncRNAs were finally established to construct the risk signature, which has a good and independent predictive ability for PC patients. Based on the m5C-LS, patients were classified into the low- and high-m5C-LS group, with the latter having a worse prognosis. Furthermore, the m5C-LS allowed us to better discriminate the immunotherapeutic responses of PC patients in different subgroups.

conclusionsOur study constructed an m5C-LS and established a nomogram model that accurately predicted the prognosis of PC patients, as well as provides promising immunotherapeutic strategies in the future.

Identifiers

PMID35211172
PMCPMC8863480
OpenAlexW4214698933

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.