Evidence map›Paper›PMID 36693876›Full record

ArticleScientific reports2023

Prognostic and predictive value of a lncRNA signature in patients with stage II colon cancer.

Ailin Qu, Qian Wang, Qing Chang, Jingkang Liu, Yongmei Yang, Xin Zhang, Yanli Zhang, Xiaoshi Zhang, Hongchun Wang, Yi Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 4 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

10 authors at 3 institutions in 1 country.

Ailin QuDepartment of Clinical Laboratory, Qilu Hospital, Shandong University, Wenhua Xi Road, Jinan, 250012, Shandong Province, People's Republic of China.
Qian WangDepartment of Gastroenterology, Central Hospital, Shandong First Medical University, Jinan, 250011, Shandong Province, People's Republic of China.
Qing ChangDepartment of Clinical Laboratory, Qilu Hospital, Shandong University, Wenhua Xi Road, Jinan, 250012, Shandong Province, People's Republic of China.
Jingkang LiuDepartment of Gynecology, Qilu Hospital, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China.
Yongmei YangDepartment of Clinical Laboratory, Qilu Hospital, Shandong University, Wenhua Xi Road, Jinan, 250012, Shandong Province, People's Republic of China.
Xin ZhangDepartment of Clinical Laboratory, Qilu Hospital, Shandong University, Wenhua Xi Road, Jinan, 250012, Shandong Province, People's Republic of China.
Yanli ZhangDepartment of Clinical Laboratory, Shandong Provincial Third Hospital, Jinan, 250031, Shandong Province, People's Republic of China.
Xiaoshi ZhangDepartment of Clinical Laboratory, Qilu Hospital, Shandong University, Wenhua Xi Road, Jinan, 250012, Shandong Province, People's Republic of China.
Hongchun WangDepartment of Clinical Laboratory, Qilu Hospital, Shandong University, Wenhua Xi Road, Jinan, 250012, Shandong Province, People's Republic of China. qlwhc@sdu.edu.cn.
Yi ZhangDepartment of Clinical Laboratory, Qilu Hospital, Shandong University, Wenhua Xi Road, Jinan, 250012, Shandong Province, People's Republic of China. yizhang@sdu.edu.cn.
Qilu Hospital of Shandong University · CNShandong Provincial Hospital · CNJinan Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current staging method is inadequate to identify high-risk recurrence patients with stage II colon cancer (CC). Using a systematic and comprehensive-biomarker discovery and validation method, we aimed to construct a lncRNA-based signature to improve the prognostic prediction of stage II CC. We identified 1,377 differently expressed lncRNAs by analyzing 16 paired stage II CC tumor tissue and adjacent normal mucosal tissue from the TCGA dataset. Subsequently, using a univariable and step multivariable Cox regression model, we trained an 11-lncRNA signature in the training cohort (n = 141), which could divide patients into high-risk and low-risk groups (AUC at 3 years = 0.801, 95% CI: 0.724-0.877; AUC at 5 years = 0.801, 95% CI: 0.718-0.885). Significantly, patients in the high-risk group had poorer recurrence-free survival (RFS) compared with the low-risk group (log-rank test, P < 0.001 in the training cohort). This lncRNA-based signature was further confirmed in the validation cohort (P < 0.001). Multivariate Cox regression and stratified survival analyses showed that the prognostic value of this signature was independent of other clinicopathological risk factors (CEA, T stage, and chemotherapy). Time-dependent receiver operating characteristic (ROC) analysis demonstrated that this signature had better prognostic ability than any other clinical risk factors or single lncRNAs (all P < 0.05). A nomogram was constructed for clinical use, which integrated both the lncRNA-based signature and clinical risk factors (CEA and T stage) and performed well in the calibration plots. Altogether, our lncRNA-based signature was an independent prognostic factor and possessed a stronger predictive power compared with the currently used clinicopathological risk factors when predicting the recurrence of patients with stage II CC. Collectively, this lncRNA-based signature might facilitate individualized treatment decisions and postoperative counseling, ultimately contributing to improved survival.

Indexed as

Colonic NeoplasmsRNA, Long NoncodingHumansNeoplasm StagingNomogramsPrognosisSurvival AnalysisRNA, Long Noncoding

Identifiers

PMID36693876
PMCPMC9873786
OpenAlexW4317902239

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.