Integrative Molecular and Immune Profiling in Advanced Unresectable Melanoma: Tumor Microenvironment and Peripheral PD-1+CD4+Effector Memory T-Cells as Potential Markers of Response to Immune Checkpoint Inhibitor Therapy

被引:0
作者
Molina-Garcia, Manuel [1 ,2 ,3 ]
Rojas-Lechuga, Maria Jesus [4 ]
Moral, Teresa Torres [1 ,3 ,5 ]
Crespi-Payeras, Francesca [1 ,2 ,3 ,5 ]
Bague, Jaume [1 ,2 ,3 ]
Mateu, Judit [1 ,3 ]
Paschalidis, Nikolaos [6 ]
de Souza, Vinicius Goncalves [7 ]
Podlipnik, Sebastian [1 ,2 ,3 ]
Carrera, Cristina [1 ,2 ,3 ,5 ]
Malvehy, Josep [1 ,2 ,3 ,5 ]
da Silva-Junior, Rui Milton Patricio [1 ,3 ,8 ]
Puig, Susana [1 ,2 ,3 ,5 ]
机构
[1] Inst Invest Biomed August Pi I Sunyer IDIBAPS, Barcelona 08036, Spain
[2] Univ Barcelona UB, Fac Med & Ciencies Salut, C Casanova 143, Barcelona 08036, Spain
[3] Hosp Clin Barcelona, Melanoma Unit, Dermatol Dept, 170 Villarroel, Barcelona 08036, Spain
[4] Univ Barcelona, Hosp Clin Barcelona, Otorhinolaryngol Dept, CIBERES,IDIBAPS, Barcelona 08036, Spain
[5] Inst Salud Carlos III, Ctr Biomed Res Rare Dis CIBERER, Barcelona 08036, Spain
[6] Acad Athens BRFAA, Biomed Res Fdn, 4 Soranou Efesiou St, Athens 11527, Greece
[7] Barretos Canc Hosp, Mol Oncol Res Ctr, BR-14784400 Barretos, SP, Brazil
[8] Univ Sao Paulo FMRP USP, Fac Med Ribeirao Preto, Dept Cell & Mol Biol, BR-14049900 Ribeirao Preto, SP, Brazil
关键词
melanoma; tumor microenvironment; immunophenotyping; immune checkpoint inhibitors; gene expression profiling; biomarkers; interferon-gamma; programmed cell death 1 receptor; CTLA-4; progression-free survival; PREDICTS RESPONSE; IPILIMUMAB; PEMBROLIZUMAB; NIVOLUMAB; SURVIVAL; SENESCENCE; RESISTANCE; BURDEN; GROWTH;
D O I
10.3390/cancers17122022
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background/Objectives: Immune checkpoint inhibitors (ICIs) have revolutionized advanced melanoma treatment, yet many patients fail to achieve sustained clinical benefit. Several biomarkers, including tumor microenvironment (TME) signature, PD-1/PD-L1 expression, and IFN-gamma signaling, have been proposed. However, robust predictive markers remain elusive. This study aimed to identify molecular markers of response by analyzing tumor and peripheral immune signatures. Methods: This study analyzed 21 advanced melanoma patients treated with ICIs. Formalin-fixed, paraffin-embedded tumors underwent RNA-sequencing targeting 1392 immuno-oncology probes. Genes significantly associated with progression-free survival (PFS) by log-rank test underwent hierarchical clustering analysis (HCA). Differential expression and xCell analyses were then performed on the resulting clusters. Cox multivariate analysis was applied to identify independent PFS predictors. Pre-treatment peripheral blood mononuclear cells were analyzed by mass cytometry, followed by FlowSOM and UMAP clustering. Results: Fifty-five genes significantly associated with PFS identified two molecular clusters via HCA. Cluster A demonstrated prolonged PFS (59.4 vs. 2.4 months, p = 0.0004), while Cluster B was characterized by downregulated IFN-gamma signaling, antigen presentation pathways, and reduced immune score. Multivariate Cox analysis confirmed molecular cluster as an independent PFS predictor (p < 0.001). Mass cytometry revealed higher frequencies of circulating PD-1+ CD4+ effector memory (EM) T subpopulations among responders. Conclusions: This study highlights the potential role of molecular and immune profiling in predicting ICI response in advanced melanoma. The identification of distinct molecular clusters underscores significant TME heterogeneity, with immune-cold tumor clusters associated with poorer outcomes. Furthermore, circulating PD-1+ T subpopulations emerged as potential markers of ICI response, suggesting their value in improving patient stratification.
引用
收藏
页数:20
相关论文
共 47 条
[1]   Liposomal simvastatin inhibits tumor growth via targeting tumor-associated macrophages-mediated oxidative stress [J].
Alupei, Marius Costel ;
Licarete, Emilia ;
Patras, Laura ;
Banciu, Manuela .
CANCER LETTERS, 2015, 356 (02) :946-952
[2]  
Amin MB., 2017, AJCC cancer staging manual, V8th ed
[3]  
Andrews MC, 2024, JCO PRECIS ONCOL, V8, DOI 10.1200/PO.23.00640
[4]   xCell: digitally portraying the tissue cellular heterogeneity landscape [J].
Aran, Dvir ;
Hu, Zicheng ;
Butte, Atul J. .
GENOME BIOLOGY, 2017, 18
[5]   IFN-γ-related mRNA profile predicts clinical response to PD-1 blockade [J].
Ayers, Mark ;
Lunceford, Jared ;
Nebozhyn, Michael ;
Murphy, Erin ;
Loboda, Andrey ;
Kaufman, David R. ;
Albright, Andrew ;
Cheng, Jonathan D. ;
Kang, S. Peter ;
Shankaran, Veena ;
Piha-Paul, Sarina A. ;
Yearley, Jennifer ;
Seiwert, Tanguy Y. ;
Ribas, Antoni ;
McClanahan, Terrill K. .
JOURNAL OF CLINICAL INVESTIGATION, 2017, 127 (08) :2930-2940
[6]   Automated Data Cleanup for Mass Cytometry [J].
Bagwell, Charles Bruce ;
Inokuma, Margaret ;
Hunsberger, Benjamin ;
Herbert, Donald ;
Bray, Christopher ;
Hill, Beth ;
Stelzer, Gregory ;
Li, Stephen ;
Kollipara, Avinash ;
Ornatsky, Olga ;
Baranov, Vladimir .
CYTOMETRY PART A, 2020, 97 (02) :184-198
[7]   T cell anergy, exhaustion, senescence, and stemness in the tumor microenvironment [J].
Crespo, Joel ;
Sun, Haoyu ;
Welling, Theodore H. ;
Tian, Zhigang ;
Zou, Weiping .
CURRENT OPINION IN IMMUNOLOGY, 2013, 25 (02) :214-221
[8]   Tumor immune profiling predicts response to anti-PD-1 therapy in human melanoma [J].
Daud, Adil I. ;
Loo, Kimberly ;
Pauli, Mariela L. ;
Sanchez-Rodriguez, Robert ;
Sandoval, Priscila Munoz ;
Taravati, Keyon ;
Tsai, Katy ;
Nosrati, Adi ;
Nardo, Lorenzo ;
Alvarado, Michael D. ;
Algazi, Alain P. ;
Pampaloni, Miguel H. ;
Lobach, Iryna V. ;
Hwang, Jimmy ;
Pierce, Robert H. ;
Gratz, Iris K. ;
Krummel, Matthew F. ;
Rosenblum, Michael D. .
JOURNAL OF CLINICAL INVESTIGATION, 2016, 126 (09) :3447-3452
[9]   PD-1 checkpoint blockade in advanced melanoma patients: NK cells, monocytic subsets and host PD-L1 expression as predictive biomarker candidates [J].
de Coana, Yago Pico ;
Wolodarski, Maria ;
Avila, Irene van der Haar ;
Nakajima, Takahiro ;
Rentouli, Stamatina ;
Lundqvist, Andreas ;
Masucci, Giuseppe ;
Hansson, Johan ;
Kiessling, Rolf .
ONCOIMMUNOLOGY, 2020, 9 (01)
[10]   Simvastatin rises reactive oxygen species levels and induces senescence in human melanoma cells by activation of p53/p21 pathway [J].
de Lima Barbosa Guterres, Fernanda Augusta ;
Martinez, Glaucia Regina ;
Merlin Rocha, Maria Eliane ;
Brochado Winnischofer, Sheila Maria .
EXPERIMENTAL CELL RESEARCH, 2013, 319 (19) :2977-2988