Evidence map›Paper›PMID 41452443›Full record

ArticleMedical oncology (Northwood, London, England)2025

Exploring medicinal mechanism of baicalin in tumor microenvironment of melanoma via bioinformatic and in vitro study.

Zuohao Liu, Bingrong Dang, Xingsheng Wang, Yuhan Liu, Chunming Wang, Changjun Lin

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Article in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zuohao LiuSchool of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Bingrong DangInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Xingsheng WangSchool of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Yuhan LiuSchool of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Chunming WangSchool of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Changjun LinSchool of Life Sciences, Lanzhou University, Lanzhou, 730000, China. linc@lzu.edu.cn.

Funding

LZU-IMPCAS cooperation (20)0920
6 · The paper itself

Abstract

The occurrence and advancement of skin cutaneous melanoma (SKCM) is closely associated with tumor microenvironment (TME). Evaluating the condition of immune cell infiltration is pivotal to the comprehension regarding the features of TME in SKCM. Baicalin has been demonstrated to have anti-tumor effects by regulating the TME in tumors. However, its pharmacological potential in melanoma still needs to be elucidated. In this study, through unsupervised clustering analysis and network pharmacology, 32 potential baicalin targets have been identified. The prognostic model effectively stratifies patients, and an individualized clinical prediction model can be developed from it. Single-cell analysis demonstrated the expression of prognostic targets was associated with TME and mainly accumulated in mono/macro subset. Finally, in vitro experiments demonstrated that baicalin significantly reduced the viability, proliferation, and migration capabilities of melanoma cells. Additionally, baicalin promoted pro-inflammatory polarization of macrophages under co-culture with melanoma cells and baicalin exerted relatively high biological safety. In conclusion, this study demonstrates that baicalin inhibits melanoma by modulating the TME and establishes a prognostic model with predictive potential. These findings expand the therapeutic potential of baicalin and provide novel insights for melanoma treatment strategies.

Indexed as

FlavonoidsMelanomaSkin NeoplasmsTumor MicroenvironmentCell Line, TumorCell MovementCell ProliferationCoculture TechniquesComputational BiologyFemaleHumansPrognosisbaicalinFlavonoidsBaicalinImmune infiltrationMelanomaPrognostic modelTumor microenvironment

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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.