Evidence map›Paper›PMID 27621894›Full record

ReviewJournal of thoracic disease2016

Long noncoding RNAs are novel potential prognostic biomarkers for esophageal squamous cell carcinoma: an overview.

Han-Yu Deng, Yun-Cang Wang, Peng-Zhi Ni, Yi-Dan Lin, Long-Qi Chen

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of thoracic disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Identification of enhancer RNATranslational cancer research · 2023
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  15. Circular RNAs and esophageal cancer.Cancer cell international · 2020
    Review
  16. Emerging Role of Non-Coding RNAs in Esophageal Squamous Cell Carcinoma.International journal of molecular sciences · 2019
    Review
  17. Article
  18. Article
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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

5 authors at 2 institutions in 1 country.

Han-Yu DengDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Yun-Cang WangDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Peng-Zhi NiDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Yi-Dan LinDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Long-Qi ChenDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) still has a poor prognosis. The prognostic biomarkers of ESCC are not yet well established. Long noncoding RNAs (lncRNAs) have recently been intensively investigated in various cancers including ESCC, and are found to be closely correlated to ESCC. Dysregulated expression of lncRNAs was widely observed in ESCC tumor tissue and was closely related to the tumorigenesis and progression of ESCC. More and more studies have found that lncRNAs were significantly correlated with the prognosis and diagnosis of patients with ESCC. Therefore, all those accumulating evidence indicated that lncRNAs could serve as a prognostic biomarker of ESCC. In this, we summarized the relation between lncRNAs and ESCC as well as the potential biomarker role of lncRNAs in ESCC, especially the prognostic value of lncRNAs. Our current review highlighted the need of further studies to explore the biomarker functions as well as therapeutic values of lncRNAs in ESCC.

Indexed as

esophageal squamous cell carcinoma (ESCC)Long noncoding RNAs (lncRNAs)prognosisreview

Identifiers

PMID27621894
PMCPMC4999701
OpenAlexW2503285258

What OpenQuestion holds

Textmetadata
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.