Evidence map›Paper›PMID 28900495›Full record

ArticleJournal of Cancer2017

Differentially Expressed lncRNAs in Gastric Cancer Patients: A Potential Biomarker for Gastric Cancer Prognosis.

Xianglong Tian, Xiaoqiang Zhu, Tingting Yan, Chenyang Yu, Chaoqin Shen, Jie Hong, Haoyan Chen, Jing-Yuan Fang

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 63 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 1 institution in 1 country.

Xianglong TianDivision of Gastroenterology and Hepatology; Key Laboratory of Gastroenterology and Hepatology, Ministry of Health; State Key Laboratory for Oncogenes and Related Genes; Renji Hospital, School of Medicine, Shanghai JiaoTong University; Shanghai Institute of Digestive Disease; 145 Middle Shandong Road, Shanghai 200001, China.
Xiaoqiang ZhuDivision of Gastroenterology and Hepatology; Key Laboratory of Gastroenterology and Hepatology, Ministry of Health; State Key Laboratory for Oncogenes and Related Genes; Renji Hospital, School of Medicine, Shanghai JiaoTong University; Shanghai Institute of Digestive Disease; 145 Middle Shandong Road, Shanghai 200001, China.
Tingting YanDivision of Gastroenterology and Hepatology; Key Laboratory of Gastroenterology and Hepatology, Ministry of Health; State Key Laboratory for Oncogenes and Related Genes; Renji Hospital, School of Medicine, Shanghai JiaoTong University; Shanghai Institute of Digestive Disease; 145 Middle Shandong Road, Shanghai 200001, China.
Chenyang YuDivision of Gastroenterology and Hepatology; Key Laboratory of Gastroenterology and Hepatology, Ministry of Health; State Key Laboratory for Oncogenes and Related Genes; Renji Hospital, School of Medicine, Shanghai JiaoTong University; Shanghai Institute of Digestive Disease; 145 Middle Shandong Road, Shanghai 200001, China.
Chaoqin ShenDivision of Gastroenterology and Hepatology; Key Laboratory of Gastroenterology and Hepatology, Ministry of Health; State Key Laboratory for Oncogenes and Related Genes; Renji Hospital, School of Medicine, Shanghai JiaoTong University; Shanghai Institute of Digestive Disease; 145 Middle Shandong Road, Shanghai 200001, China.
Jie HongDivision of Gastroenterology and Hepatology; Key Laboratory of Gastroenterology and Hepatology, Ministry of Health; State Key Laboratory for Oncogenes and Related Genes; Renji Hospital, School of Medicine, Shanghai JiaoTong University; Shanghai Institute of Digestive Disease; 145 Middle Shandong Road, Shanghai 200001, China.
Haoyan ChenDivision of Gastroenterology and Hepatology; Key Laboratory of Gastroenterology and Hepatology, Ministry of Health; State Key Laboratory for Oncogenes and Related Genes; Renji Hospital, School of Medicine, Shanghai JiaoTong University; Shanghai Institute of Digestive Disease; 145 Middle Shandong Road, Shanghai 200001, China.
Jing-Yuan FangDivision of Gastroenterology and Hepatology; Key Laboratory of Gastroenterology and Hepatology, Ministry of Health; State Key Laboratory for Oncogenes and Related Genes; Renji Hospital, School of Medicine, Shanghai JiaoTong University; Shanghai Institute of Digestive Disease; 145 Middle Shandong Road, Shanghai 200001, China.
State Key Laboratory of Oncogene and Related Genes · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current studies indicate that long non-coding RNAs (lncRNAs) are frequently aberrantly expressed in cancers and implicated with prognosis in gastric cancer (GC). We intended to generate a multi-lncRNA signature to improve prognostic prediction of GC. By analyzing ten paired GC and adjacent normal mucosa tissues, 339 differentially expressed lncRNAs were identified as the candidate prognostic biomarkers in GC. Then we used LASSO Cox regression method to build a 12-lncRNA signature and validated it in another independent GEO dataset. An innovative 12-lncRNA signature was established, and it was significantly associated with the disease free survival (DFS) in the training dataset. By applying the 12-lncRNA signature, the training cohort patients could be categorized into high-risk or low-risk subgroup with significantly different DFS (HR = 4.52, 95%CI= 2.49-8.20, P < 0.0001). Similar results were obtained in another independent GEO dataset (HR=1.58, 95%CI=1.05 - 2.38, P=0.0270). Further analysis showed that the prognostic value of this 12-lncRNA signature was independent of AJCC stage and postoperative chemotherapy. Receiver operating characteristic (ROC) analysis showed that the area under receiver operating characteristic curve (AUC) of combined model reached 0.869. Additionally, a well-performed nomogram was constructed for clinicians. Moreover, single-sample gene-set enrichment analysis (ssGSEA) showed that a group of pathways related to drug resistance and cancer metastasis significantly enriched in the high risk patients. A useful innovative 12-lncRNA signature was established for prognostic evaluation of GC. It might complement clinicopathological features and facilitate personalized management of GC.

Indexed as

gastric cancerlncRNAnomogram.prognosisssGSEAsurvival

Identifiers

PMID28900495
PMCPMC5595087
OpenAlexW2748907394

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.