Evidence map›Paper›PMID 36814559›Full record

ArticleJournal of oncology2023

A Prognostic Signature for Colon Adenocarcinoma Patients Based on m6A-Related lncRNAs.

Su-Zhe Zhou, Ying-Lian Pan, Qing-Chun Deng, Chang-Jun Yin, De-Jiang Zhou, Ming-Liang Liu, Jun Zhou, Xiao-Jing Wu

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 12 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

8 authors at 5 institutions in 1 country.

Su-Zhe ZhouDepartment of General Practice, Hefei BOE Hospital, Hefei 230013, China.ORCID https://orcid.org/0000-0002-0784-9969
Ying-Lian PanDepartment of Medical Oncology, The First Affiliated Hospital of Hainan Medical University, Haikou 570102, China.
Qing-Chun DengDepartment of Gynecology, The Second Affiliated Hospital of Hainan Medical University, Haikou 570102, China.
Chang-Jun YinDepartment of Gastrointestinal Surgery, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510120, China.
De-Jiang ZhouDepartment of Gastrointestinal Surgery, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510120, China.
Ming-Liang LiuDepartment of Gastrointestinal Surgery, Affiliated Hospital of Jining Medical College, Jining 272007, China.ORCID https://orcid.org/0000-0002-6545-2986
Jun ZhouDepartment of Gastrointestinal Surgery, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510120, China.ORCID https://orcid.org/0000-0003-1714-4011
Xiao-Jing WuDepartment of Surgery Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.ORCID https://orcid.org/0000-0001-7911-354X
Sun Yat-sen University · CNHainan Medical University · CNAffiliated Hospital of Jining Medical University · CNCapital Medical University · CNHefei First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N6-methyladenosine (m6A) modification is a common epigenetic modification. It is reported that lncRNA can be regulated by m6A modification. Previous studies have shown that lncRNAs associated with m6A regulation (m6A-lncRNAs) serve as ideal prognostic biomarkers. However, whether lncRNAs are involved in m6A modification in colon adenocarcinoma (COAD) needs further exploration. The objective of this study was to construct an m6A-lncRNAs-based signature for patients with COAD. We obtained the RNA sequencing data and clinical information from The Cancer Genome Atlas (TCGA). Pearson correlation analysis was employed to recognize lncRNAs associated with m6A regulation (m6A-lncRNAs). 24 prognostic m6A-lncRNAs was identified by univariate Cox regression analysis. Gene set enrichment analysis (GSAE) was used to investigate the potential cellular pathways and biological processes. We have also explored the relationship between immune infiltrate levels and m6A-lncRNAs. Then, a predictive signature based on the expression of 13 m6A-lncRNAs was constructed by the Lasso regression algorithm, including UBA6-AS1, AC139149.1, U91328.1, AC138207.5, AC025171.4, AC008760.1, ITGB1-DT, AP001619.1, AL391422.4, AC104532.2, ZEB1-AS1, AC156455.1, and AC104819.3. ROC curves and K M survival curves have shown that the risk score has a well-predictive ability. We also set up a quantitative nomogram on the basis of risk score and prognosis-related clinical characteristics. In summary, we have identified some m6A-lncRNAs that correlated with prognosis and tumor immune microenvironment in COAD. In addition, a potential alternative signature based on the expression of m6A-lncRNAs was provided for the management of COAD patients.

Identifiers

PMID36814559
PMCPMC9940948
OpenAlexW4320482314

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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.