Evidence map›Paper›PMID 38900244›Full record

ArticleJournal of cancer research and clinical oncology2024

Developing a prognostic model for skin melanoma based on the persistent tumor mutation burden and determining IL17REL as a therapeutic target.

Mingze Xu, Xinyi Ma, Yuchong Wang, Ziqin Yu, Xiaoli Zheng, Haiying Dai, Chunyu Xue

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mingze Xu *Department of Plastic Surgery, Changhai Hospital, Naval Military Medical University, 168 Changhai Road, Shanghai, 200433, People's Republic of China.
Xinyi Ma *Department of Plastic Surgery, Changhai Hospital, Naval Military Medical University, 168 Changhai Road, Shanghai, 200433, People's Republic of China.
Yuchong Wang *Department of Plastic Surgery, Changhai Hospital, Naval Military Medical University, 168 Changhai Road, Shanghai, 200433, People's Republic of China.
Ziqin YuDepartment of Radiology, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Xiaoli ZhengBasic Medical School, Southwest Medical University, Luzhou, Sichuan, China.
Haiying DaiDepartment of Plastic Surgery, Changhai Hospital, Naval Military Medical University, 168 Changhai Road, Shanghai, 200433, People's Republic of China. daihaiying039@163.com.
Chunyu XueDepartment of Plastic Surgery, Changhai Hospital, Naval Military Medical University, 168 Changhai Road, Shanghai, 200433, People's Republic of China. xuecyfun@163.com.

Funding

National Natural Science Foundation of China Grant No.81871578Sichuan Science and Technology Program No.2020YFSY0030
6 · The paper itself

Abstract

backgroundOne popular and well-established marker for the immune checkpoint blockade (ICB) response is tumor mutation burden (TMB). Persistent TMB (pTMB), a subset of TMB, provides a better indicator to predict patient ICB therapy outcomes, as shown by some studies. Immune checkpoint drugs have significantly changed how melanoma is treated in recent years.

methodsIn this study, we integrated the TCGA-SKCM database and data of pTMB of TCGA from the paper that first mentioned pTMB and analyzed mutational and Immune characteristics associated with pTMB level in SKCM. Next, the predictive DEGs were identified the subgroups of pTMB by Cox regression and LASSO analyses to construct a pTMB-related signature. Finally, the expression and Biological functions of signature genes was detected, and further validated in vitro assay.

resultsIn the current research, we explored the mutational and immunological features related to the level of TMB in cutaneous melanoma (CM). The high-pTMB subgroup exhibited an increasing incidence of gene changes and higher levels of immune cell infiltration. Subsequently, we established a pTMB-related signature based on the predictive DEGs and found the biological features and immune-associated variables between two distinct risk groups. Lastly, the results of the clinical sample validation demonstrated that the expression of IL17REL was down-regulated in the collected samples of individuals with CM. The in vitro assay results indicated that IL17REL effectively suppressed the proliferation, clonality, and migration of CM cells.

conclusionIn conclusion, we have developed a prediction model associated with TMB and subsequently validated the potential influence of IL17REL on Overall Survival (OS) in patients diagnosed with melanoma.

Indexed as

MelanomaMutationSkin NeoplasmsBiomarkers, TumorCutaneous Malignant MelanomaFemaleHumansInterleukin-17MaleMiddle AgedPrognosisBiomarkers, TumorInterleukin-17Cutaneous melanomaGene signaturePersistent tumor mutation burdenPrognostic modelTherapeutic target

Identifiers

PMID38900244
PMCPMC11189994

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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.