Evidence map›Paper›PMID 42114285›Full record

ArticleTranslational oncology2026

Feiyanning formula inhibits metastasis and differentiation of osteoclasts by targeting miR-328/NF-κB signaling axis via exosomal HOTAIR in lung cancer cells.

Chengcheng Zhang, Yiyi Liu, Zhanhui Lu, Jingru Qin, Lu Yang, Qianqian Yin, Zhijing Rao, Junqing Ji, Kaiting Chen, Wan Su and 6 more

Abstract read
In one paragraph

Article in Translational oncology, 2026. 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

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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

16 authors.

Chengcheng ZhangDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China; Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China; Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Yiyi LiuDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China; Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China; Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zhanhui LuDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China; Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Jingru QinDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Lu YangDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Qianqian YinDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China; Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zhijing RaoDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Junqing JiDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China; Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Kaiting ChenDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Wan SuDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Xiangyang ZhanIntegrated Chinese and Western Medicine, Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Jingyun JinSchool of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai Municipality, Shanghai, 201203, China.
Wenbin BenChina Pharmaceutical University, Nanjing, 210009, China.
Zhiyi ZhouDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China. Electronic address: zhouzhiyi77@hotmail.com.
Xingshuai HuangDepartment of Anesthesiology, Shanghai ChangZheng hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China. Electronic address: hxsmed526@163.com.
Zhongqi WangDepartment of Medical Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China. Electronic address: aledx@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the most lethal malignant tumors worldwide, the highly invasive and metastatic nature of lung cancer leads to a generally poor prognosis for patients. Among the complications associated with lung cancer, skeletal-related events (SREs) resulting from bone metastases, including bone pain, pathological fractures, hypercalcemia, and spinal cord compression, significantly impair quality of life and reduce survival rates. The long non-coding RNA HOTAIR, which has been linked to various cancers, plays an unclear role in lung cancer bone metastasis and the regulation of the immune microenvironment. In this study, we investigated the expression of HOTAIR in non-small cell lung cancer (NSCLC) and its impact on the immune microenvironment using bioinformatics, microscopy, and functional assays. Our findings indicate that elevated HOTAIR expression is associated with poorer prognosis based on transcriptomic analyses. Bioinformatics validation in independent GEO datasets and clinical tissue samples also confirmed the prognostic value of HOTAIR in NSCLC bone metastasis subgroups. Mechanistically, HOTAIR expression was correlated with alterations in immune cell infiltration patterns, including reduced B-cell and CD8+ T-cell signatures, and was accompanied by increased NF-κB and ERBB pathway activity. These observations suggest that exosome-associated HOTAIR may influence tumor progression-related processes and osteoclast-associated events relevant to bone metastatic progression. Furthermore, the Feiyanning formula (FYN) demonstrated inhibitory effects on tumor growth and metastasis-related phenotypes in experimental models.

Indexed as

ExosomeFYNHOTAIRImmune microenvironmentLung cancer bone metastasisMiR-328NF-κB

Identifiers

PMID42114285
PMCPMC13191280

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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.