Evidence map›Paper›PMID 33718238›Full record

ReviewFrontiers in oncology2021

The Emerging Landscape of Long Non-Coding RNAs in Colorectal Cancer Metastasis.

Zhiming Liao, Hui Nie, Yutong Wang, Jingjing Luo, Jianhua Zhou, Chunlin Ou

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  12. Prognostic Value ofBiomolecules · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Long non-coding RNABioengineered · 2021
    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

6 authors at 3 institutions in 1 country.

Zhiming LiaoDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Hui NieDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Yutong WangDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Jingjing LuoTeaching and Research Room of Biochemistry and Molecular Biology, Medical School of Hunan University of Traditional Chinese Medicine, Changsha, China.
Jianhua ZhouDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Chunlin OuDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Xiangya Hospital Central South University · CNCentral South University · CNHunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most common gastrointestinal cancers, with extremely high rates of morbidity and mortality. The main cause of death in CRC is distant metastasis; it affects patient prognosis and survival and is one of the key challenges in the treatment of CRC. Long non-coding RNAs (lncRNAs) are a group of non-coding RNA molecules with more than 200 nucleotides. Abnormal lncRNA expression is closely related to the occurrence and progression of several diseases, including cancer. Recent studies have shown that numerous lncRNAs play pivotal roles in the CRC metastasis, and reversing the expression of these lncRNAs through artificial means can reduce the malignant phenotype of metastatic CRC to some extent. This review summarizes the major mechanisms of lncRNAs in CRC metastasis and proposes lncRNAs as potential therapeutic targets for CRC and molecular markers for early diagnosis.

Indexed as

cancer metastasiscolorectal cancerlncRNAsmarkerssignaling pathwaystherapy

Identifiers

PMID33718238
PMCPMC7947863
OpenAlexW3130837317

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.