Evidence map›Paper›PMID 39528978›Full record

ArticleBMC cancer2024

MET amplification correlates with poor prognosis and immunotherapy response as a subtype of melanoma: a multicenter retrospective study.

Xiaojun Cai, Jing Lin, Caili Li, Ting Xu, Chuanben Chen, Bin Lan, Xuefeng Wang, Shengjie Bai, Yufang Huang, Huishan Zhang and 2 more

Abstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

12 authors.

Xiaojun Cai *Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Jing Lin *Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Caili Li *Department of Melanoma and Sarcoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China.
Ting XuClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Chuanben ChenDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Bin LanLaboratory of Radiation Oncology and Radiobiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Xuefeng WangInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Shengjie BaiBeijing GenePlus Technology Co., Ltd, Beijing, China.
Yufang HuangDepartment of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Huishan ZhangDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Lu SiInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Yu ChenDepartment of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China. chenyu1980@fjmu.edu.cn.

Funding

Fujian provincial health technology project 2022ZD01005Joint Funds for the innovation of science and Technology,Fujian province 2020Y9040Joint Funds for the Innovation of Science and Technology, Fujian province 2021Y9227Natural Science Foundation of Fujian Province 2023J011254the Science Foundation for The Excellent Youth Scholars of Fujian Provincial Health Commission 2022ZQNZD009The Special Research Funds for Local Science and Technology Development Guided by Central Government 2023L3020
6 · The paper itself

Abstract

backgroundMesenchymal epithelial transition factor (MET) variant is an independent prognostic factor for worse prognosis in patients with lung cancer or gastroesophageal adenocarcinoma. MET gene variants can be regarded as a subtype of melanoma but there is a lack of studies regarding the frequency of MET genetic alterations and the efficacy of immunotherapy in melanoma patients. The purpose of this study is to explore potential therapeutic strategies for melanoma subtypes with MET alterations.

methodsA total of 1751 malignant melanomas were analyzed to illustrate the landscape of MET mutations. We collected 55 melanoma cases from multicenter for a retrospective cohort from 2010 to 2023. We analyzed the impact of MET amplification on the efficacy of immunotherapy in the retrospective cohort after propensity score matching (PSM) and a pancancer cohort. CIBERSORT was used to evaluate the immune infiltration.

resultsThere were no instances of MET 14 exon skipping, and only instances of MET amplification were found in the 1751 melanomas and our retrospective cohort. Cox proportional hazards model analysis showed that MET amplification (P = 0.006) was significantly associated with poorer overall survival (OS) in patients who received immunotherapy as the first-line treatment. Compared with patients with MET amplification, patients in the negative control (NC) group had a significantly better OS (P = 0.022) after PSM. Analysis of 1661 pancancer cases with the MSK-IMPACT assay showed that patients receiving immunotherapy in the MET amplification group had a trend toward worse OS than those without MET amplification (P = 0.025).

conclusionsThis database analysis showed that the main type of MET mutation is amplification in malignant melanoma. MET-amplified solid tumors might be considered for targeted therapy, as MET amplification can be regarded as a risk factor affecting the prognosis of patients with tumors treated with immunotherapy.

Indexed as

Gene AmplificationImmunotherapyMelanomaProto-Oncogene Proteins c-metAdultAgedFemaleHumansMaleMiddle AgedMutationPrognosisRetrospective StudiesSkin NeoplasmsMET protein, humanProto-Oncogene Proteins c-metImmunotherapyMelanomaMET amplification

Identifiers

PMID39528978
PMCPMC11555915

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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.