Evidence map›Paper›PMID 41488683›Full record

ReviewBreast cancer (Dove Medical Press)2025

Noncoding RNAs, Vital Players in Breast Cancer Metastasis.

Yujuan Kang, Xingmiao Wang, Yanqing Liu, Jianqiao Cao, Jun Lin, Guangdong Qiao

Abstract readReview
In one paragraph

Review in Breast cancer (Dove Medical Press), 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

6 authors.

Yujuan Kang *Department of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, People's Republic of China.ORCID 0000-0001-8344-6005
Xingmiao Wang *Department of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, People's Republic of China.
Yanqing Liu *Department of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, People's Republic of China.
Jianqiao Cao *Department of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, People's Republic of China.
Jun LinDepartment of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, People's Republic of China.
Guangdong QiaoDepartment of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the most common cause of deaths. Although recent medical advancements have improved survival of BC patients, the occurrence of metastasis increases mortality rate. Noncoding RNAs (ncRNAs) play important roles in BC metastasis (BCM). However, a detailed summary of ncRNAs involved in BCM is unavailable. Therefore, this review summarizes the key biological steps involved in BCM. We discussed the ncRNAs related to BCM according to "seed and soil" theory from four perspectives: (i) ncRNAs that make "breast cancer seed" preferable for BCM; (ii) ncRNAs that make "breast cancer seed" difficult for BCM; (iii) ncRNAs that make "breast cancer soil" preferable for BCM; (iv) ncRNAs that make "breast cancer soil" difficult for BCM. Lastly, we listed the ncRNAs and coding genes involved in BCM that act as initiators or suppressors. This review comprehensively overviews the biological mechanisms underlying BCM. The compiled evidence highlights the role of BCM-associated ncRNAs, which may serve as promising therapeutic targets for BCM.

Indexed as

breast cancercircRNAEMTmetastasismiRNAnoncoding RNAs

Identifiers

PMID41488683
PMCPMC12764209

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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.