Multiomics-based classifier to decipher immune landscape of uveal melanoma and predict patient outcomes-Reference-Cited by-同舟云学术

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Multiomics-based classifier to decipher immune landscape of uveal melanoma and predict patient outcomes

Published:2024-03-11 Issue: Volume: Page:1-17
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Zhang Yuan¹,Shen Ni¹,Jiang Aimin²,Zhao Jiawei¹,Sang Yanzhi¹,Wang Anbang³,Shen Wei¹,Gao Yu¹

Affiliation:

1. Department of Ophthalmology, Changhai Hospital, Naval Medical University, Shanghai, China

2. Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China

3. Department of Urology, Changzheng Hospital, Naval Medical University, Shanghai, China

Funder

The First Affiliated Hospital of Naval Military Medical University ‘234 Discipline Climbing Plan’

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2024.2318656

Reference36 articles.

1. Metastatic uveal melanoma showing durable response to anti-CTLA-4 and anti-PD-1 combination therapy after experiencing progression on anti-PD-1 therapy alone

2. Uveal Melanoma Exosomes Induce a Prometastatic Microenvironment through Macrophage Migration Inhibitory Factor

3. xCell: digitally portraying the tissue cellular heterogeneity landscape

4. Contribution of the STAT family of transcription factors to the expression of the serotonin 2B (HTR2B) receptor in human uveal melanoma;Benhassine M.;International Journal of Molecular Sciences,2022

5. Comprehensive molecular characterization of gastric adenocarcinoma

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