Evidence map›Paper›PMID 41622930›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2025

[Mechanisms of Exosomes in Lung Cancer Bone Metastasis and Related Clinical Advances].

Yuan Yuan, Hao Tang

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yuan YuanDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Naval Medical University, 
Shanghai 200003, China.
Hao TangDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Naval Medical University, 
Shanghai 200003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the malignant tumor with the highest morbidity and mortality, and it is usually diagnosed with advanced metastasis. Tumor metastasis is an important factor affecting treatment resistance and poor prognosis of lung cancer, among which bone metastasis is a common metastatic pattern of lung cancer and is associated with a particularly dismal prognosis. Meanwhile, bone metastasis frequently causes skeletal-related events such as bone pain, pathological fractures, nerve compression, and hypercalcemia. Exosomes are extracellular vesicles with a diameter of 40-160 nm that are released from the fusion of intracellular multivesicular bodies and the cell membrane. Carrying proteins, lipids, and nucleic acids, they mediate communication between tumor cells and their surrounding matrix, immune cells, and the bone microenvironment. So, it has attracted increasing attention from researchers. This paper aims to summarize and organize the latest research advances on exosomes promoting lung cancer bone metastasis, focusing on their key mechanisms and signaling pathways. These include promoting tumor cells proliferation, invasion and metastasis at the primary lesion, as well as participating in energy metabolism reprogramming, pre-metastatic niche remodeling, immune microenvironment regulation, and interactions with osteocytes, stromal cells, and other cells during distant bone metastasis colonization. In addition, this review analyzes the potential clinical translational value of exosomes in the early diagnosis, treatment, and prognosis of lung cancer bone metastasis.

Indexed as

Bone NeoplasmsExosomesLung NeoplasmsAnimalsHumansTumor MicroenvironmentBone metastasisDiagnosis and treatmentExosomesLung neoplasms

Identifiers

PMID41622930
PMCPMC12883948

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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.