Evidence map›Paper›PMID 25663854›Full record

ArticleOncology letters2015

Involvement of long non-coding RNA in colorectal cancer: From benchtop to bedside (Review).

LE-Chi Ye, DE-Xiang Zhu, Jun-Jun Qiu, Jianmin Xu, Ye Wei

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

  1. Recent advances in novel targeting mechanisms for colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Long non-coding RNAOncotarget · 2018
    Article
  18. Article
  19. Article
  20. Article
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 4 institutions in 1 country.

LE-Chi YeDepartment of Oncological Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, P.R. China.
DE-Xiang ZhuDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Jun-Jun QiuDepartment of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, P.R. China.
Jianmin XuDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Ye WeiDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Sun Yat-sen University · CNFudan University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the greatest threats to public health. Recent advances in whole-genome transcriptome analyses have enabled the identification of numerous members of a novel class of non-coding (nc)RNA, long ncRNA (lncRNA), which is broadly defined as RNA molecules that are >200 nt in length and lacking an open reading frame. In the present review, all lncRNAs associated with CRC are briefly summarized, with a particular focus on their potential roles as clinical biomarkers. CRC-associated lncRNAs involved in the underlying mechanisms of CRC progression are also initially included. This should benefit the development of novel markers and effective therapeutic targets for patients with CRC.

Indexed as

colorectal cancerlong non-coding RNA

Identifiers

PMID25663854
PMCPMC4315074
OpenAlexW2104013008

What OpenQuestion holds

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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.