Evidence map›Paper›PMID 38847945›Full record

ReviewClinical and experimental medicine2024

LINC01503 in cancer: from molecular mechanisms to therapeutic implications.

You Shuai, Haili Qian, Peng Yuan

Abstract readReview
In one paragraph

Review in Clinical and experimental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

You ShuaiDepartment of Medical Oncology, National Cancer Centre/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Haili QianState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. qianhaili001@163.com.
Peng YuanDepartment of VIP Medical Services, National Cancer Centre/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. yuanpengyp01@163.com.

Funding

National Natural Science Foundation of China 82172650
6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are fundamental agents that govern tumor growth and metastasis across a spectrum of cancer types. Linc01503 is a novel lncRNA situated on human chromosome 19, and it is intricately linked with the pathogenesis of multiple human cancers, underscoring its substantial role and significance in cancer development. It has been recognized as a pivotal contributor to inducing malignant behaviors in lung cancer, gastric cancer, colorectal cancer, cholangiocarcinoma, liver cancer and pancreatic cancer, among others. The dysregulation of linc01503 has been shown to strongly associate with advanced clinicopathological factors and foretell an unfavorable prognosis, indicating its prospective clinical significance as a valuable biomarker and therapeutic target for individuals with cancer. The primary objective of the current work is to present the intricate molecular pathways governed by linc01503 and its profound clinical relevance in the context of carcinogenesis. We also focus on the future prospects of linc01503-based clinical application. This will help us to better understand the regulatory mechanism of carcinogenesis and provide new ideas for precision molecular medicine.

Indexed as

NeoplasmsRNA, Long NoncodingBiomarkers, TumorGene Expression Regulation, NeoplasticHumansBiomarkers, TumorRNA, Long NoncodingCancerClinical applicationLinc01503Mechanism

Identifiers

PMID38847945
PMCPMC11161433

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.