Evidence map›Paper›PMID 37880239›Full record

ArticleCell death discovery2023

Decoding the metastatic potential and optimal postoperative adjuvant therapy of melanoma based on metastasis score.

Kangjie Shen, Wenyu Song, Hongye Wang, Lu Wang, Yang Yang, Qianrong Hu, Min Ren, Zixu Gao, Qiangcheng Wang, Shaoluan Zheng and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 11 citations in OpenAlex.

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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

15 authors at 5 institutions in 1 country.

Kangjie Shen *Department of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Wenyu Song *Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Hongye Wang *Department of Interventional Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Lu Wang *Department of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yang Yang *Department of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Qianrong HuDepartment of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Min RenDepartment of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Zixu GaoDepartment of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Qiangcheng WangThe Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Shaoluan ZhengDepartment of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Ming ZhuDepartment of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yanwen YangDepartment of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yong ZhangDepartment of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Chuanyuan WeiDepartment of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China. wei.chuanyuan@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0001-5580-6499
Jianying GuDepartment of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China. prof_jianyinggu@163.com.ORCID http://orcid.org/0000-0002-7870-103X
Fudan University · CNJiangsu Cancer Hospital · CNRenji Hospital · CNSun Yat-sen University · CNXiamen University · CN

Funding

China Postdoctoral Science Foundation 2022M710769, 2022TQ0072National Natural Science Foundation of China (National Science Foundation of China) (82203528, 81972559, 82272891)
6 · The paper itself

Abstract

Metastasis is a formidable challenge in the prognosis of melanoma. Accurately predicting the metastatic potential of non-metastatic melanoma (NMM) and determining effective postoperative adjuvant treatments for inhibiting metastasis remain uncertain. In this study, we conducted comprehensive analyses of melanoma metastases using bulk and single-cell RNA sequencing data, enabling the construction of a metastasis score (MET score) through diverse machine-learning algorithms. The reliability and robustness of the MET score were validated using various in vitro assays and in vivo models. Our findings revealed a distinct molecular landscape in metastatic melanoma characterized by the enrichment of metastasis-related pathways, intricate cell-cell communication, and heightened infiltration of pro-angiogenic tumor-associated macrophages compared to NMM. Importantly, patients in the high MET score group exhibited poorer prognoses and an immunosuppressive microenvironment, featuring increased infiltration of regulatory T cells and decreased infiltration of CD8

Identifiers

PMID37880239
PMCPMC10600209
OpenAlexW4387949528

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.