Evidence map›Paper›PMID 40783798›Full record

ReviewClinical and translational medicine2025

The role of long non-coding RNAs in lung cancer metastasis: Molecular mechanisms, pathogenesis and clinical implications.

Musaffe Tuna, Gordon B Mills, Christopher I Amos

Abstract readReview
In one paragraph

Review in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

3 authors.

Musaffe TunaDepartment of Medicine, Baylor College of Medicine, Houston, USA.ORCID 0000-0002-5412-7117
Gordon B MillsDivision of Oncological Sciences, Oregon Health Science University, Portland, USA.
Christopher I AmosDepartment of Medicine, Baylor College of Medicine, Houston, USA.

Funding

Integrative bioinformatics and functional characterization of oncogenic driver aberrations in cancerU01CA217842 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DENEEN, BENJAMIN, MILLS, GORDON B. · 2017 to 2021
$3.6M
and CPRITCancer Prevention and Research Institute of Texas RR170048NCI NIH HHS U01CA217842NIH HHS U01CA217842
6 · The paper itself

Abstract

Lung cancer remains the leading cause of cancer-related death in both women and men in the United States and globally. Even among early-stage patients who undergo surgical resection, a significant portion of patients develop metastases. Notably, approximately 30% of patients with stage I lung cancer experience relapse. For decades, protein-coding genes dominated cancer research, driven by the belief that these genes were the primary contributors to tumorigenesis. Despite advances in treatment our understanding of fundamental mechanismsdriving lung cancer progression remains limited. The overall 5-year survival rate for all stages of lung cancer combined is approximately 20%. Surgical resection remains the best option for early-stage diseases, whereas chemotherapy, immunotherapy or combination therapies are primarily employed in advanced stages. Frequent treatment failure due to therapy resistance, highlight the urgent need to identify novel biomarkers for early diagnosis, prognosis, and the development of more effective therapies. This underscores the necessity and urgency of researching lncRNAs. The advent of next-generation sequencing and other high-throughput technologies guided the discovery of a new class of molecules, non-coding RNAs (ncRNAs) that play a role in many aspects of cellular physiology. Among the various types of ncRNAs, long non-coding RNAs (lncRNAs)-which have transcripts longer than 200 nucleotides-have emerged as key regulatory molecules in a myriad of cell functions by interacting with DNA, with other RNAs, including mRNA, miRNA and with proteins. Importantly, lncRNAs play crucial roles in cancer progression, including metastasis by activating oncogenic pathways, promoting epithelial-mesenchymal transition, remodelling the extracellular matrix, and inducing angiogenesis. Notably, they can function as both oncogenes and tumour suppressors. MALAT1 is one of the lncRNAs that contribute to metastasis and resistance to tyrosine kinase inhibitors in lung cancer. This review summarizes the role of lncRNAs in cancer, with a specific emphasis on their contributions to lung cancer metastasis. KEY POINTS: LncRNAs are significant players in lung cancer metastasis. LncRNAs can be used as therapeutic target in lung cancer. LncRNAs can be used as prognostic factors in lung cancer. Exosomal lncRNAs can be used to predict prognosis in lung cancer.

Indexed as

Lung NeoplasmsNeoplasm MetastasisRNA, Long NoncodingHumansRNA, Long Noncodingcircular RNAlncRNAlung cancermetastasisnon‐coding RNA

Identifiers

PMID40783798
PMCPMC12335672

What OpenQuestion holds

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Registered trials

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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.