Evidence map›Paper›PMID 40361382›Full record

ArticleCancers2025

Deciphering Anticancer Mechanisms of Calycosin in Lung Adenocarcinoma Through Multi-Omics: Targeting SMAD3-Mediated NOTCH Signaling in the Tumor Microenvironment.

Bi-Tian Zhang, Xiaoyu Song, Chi-Shing William Cho, Chun-Kwok Wong, Dongjie Wang

Abstract read
In one paragraph

Article in Cancers, 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

5 authors.

Bi-Tian ZhangInstitute of Chinese Medicine and State Key Laboratory of Research on Bioactivities and Clinical Applications of Medicinal Plants, The Chinese University of Hong Kong, Hong Kong, China.
Xiaoyu SongSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0001-7800-4448
Chi-Shing William ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong, China.ORCID 0000-0003-4174-4586
Chun-Kwok WongInstitute of Chinese Medicine and State Key Laboratory of Research on Bioactivities and Clinical Applications of Medicinal Plants, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-5637-8331
Dongjie WangInstitute of Chinese Medicine and State Key Laboratory of Research on Bioactivities and Clinical Applications of Medicinal Plants, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0003-4393-739X

Funding

Innovation and Technology Commission 00000Li Dak Sum Yip Yio Chin R & D Centre for Chinese Medicine 00000National Natural Science Foundation of China 8240012013
6 · The paper itself

Abstract

objectiveLung adenocarcinoma (LUAD) remains a leading cause of cancer-related mortality, particularly in advanced stages. This study investigates the anticancer mechanisms of calycosin, an isoflavonoid derived from

methodsUsing integrative approaches including bulk and single-cell RNA sequencing, network pharmacology, and molecular docking, we identified SMAD3 as a critical biomarker associated with LUAD staging and prognosis.

resultsCalycosin targets SMAD3, modulating the NOTCH signaling pathway in monocytes/macrophages to suppress tumor growth, invasion, and immune evasion. Enrichment analyses revealed significant involvement of NOTCH signaling components in SMAD3-correlated genes, particularly in advanced-stage LUAD. Single-cell RNA sequencing further demonstrated NOTCH pathway enrichment in tumor-associated monocytes/macrophages. Additionally, KMT2A was identified as a key transcriptional regulator in these cells.

conclusionsThese findings highlight the potential effects of calycosin and provide novel insights into targeting the tumor-immune microenvironment in LUAD.

Indexed as

calycosinKMT2ALUADmacrophagesmonocytesNOTCH signalingSMAD3

Identifiers

PMID40361382
PMCPMC12071042

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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.