In Vitro Three-Dimensional (3D) Models for Melanoma Immunotherapy

被引:4
|
作者
Nomdedeu-Sancho, Gemma [1 ]
Gorkun, Anastasiya [1 ]
Mahajan, Naresh [1 ]
Willson, Kelsey [1 ]
Schaaf, Cecilia R. [1 ,2 ,3 ]
Votanopoulos, Konstantinos I. [1 ,2 ,4 ,5 ]
Atala, Anthony [1 ,2 ]
Soker, Shay [1 ,2 ,4 ,6 ]
机构
[1] Wake Forest Univ, Wake Forest Inst Regenerat Med, Sch Med, Winston Salem, NC 27101 USA
[2] Wake Forest Organoid Res Ctr WFORCE, Winston Salem, NC 27101 USA
[3] Wake Forest Univ, Pathol Sect, Comparat Med, Sch Med, Winston Salem, NC 27101 USA
[4] Wake Forest Univ, Dept Canc Biol, Sch Med, Winston Salem, NC 27101 USA
[5] Wake Forest Baptist Hlth, Dept Gen Surg, Div Surg Oncol, Winston Salem, NC 27157 USA
[6] Med Ctr Blvd, Winston Salem, NC 27157 USA
关键词
melanoma; in vitro models; immunotherapy; tumor microenvironment; organoids; 3D bioprinting; microfluidics; tissue engineering; TUMOR MICROENVIRONMENT; SKIN EQUIVALENT; CELLS; FIBROBLASTS; CROSSTALK; MIGRATION; KERATINOCYTES; CONTRIBUTE; RESISTANCE; GROWTH;
D O I
10.3390/cancers15245779
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Melanoma treatment has progressed through the use of immune checkpoint inhibitors, significantly boosting patient survival rates. However, many tumors do not respond to these drugs or develop resistance, partly due to the tumor microenvironment influencing cancer cell growth and immune cell behavior. To gain insights into therapy outcomes, researchers have focused on developing cell-based ex vivo models of melanomas. These models include tumor organoids, engineered tissues, and microfluidic devices designed to replicate melanoma in its natural skin environment. Yet, integrating the tumor microenvironment and immune factors remains challenging. This review explores the creation of in vitro 3D models for normal skin and melanoma, focusing on methods to include immune components. These models hold promise for testing immunotherapies and uncovering resistance mechanisms. By faithfully replicating the tumor microenvironment and its interactions with the immune system, these models can enhance our understanding of immunotherapy resistance and ultimately improve personalized melanoma treatment.Abstract Melanoma is responsible for the majority of skin cancer-related fatalities. Immune checkpoint inhibitor (ICI) treatments have revolutionized the management of the disease by significantly increasing patient survival rates. However, a considerable number of tumors treated with these drugs fail to respond or may develop resistance over time. Tumor growth and its response to therapies are critically influenced by the tumor microenvironment (TME); it directly supports cancer cell growth and influences the behavior of surrounding immune cells, which can become tumor-permissive, thereby rendering immunotherapies ineffective. Ex vivo modeling of melanomas and their response to treatment could significantly advance our understanding and predictions of therapy outcomes. Efforts have been directed toward developing reliable models that accurately mimic melanoma in its appropriate tissue environment, including tumor organoids, bioprinted tissue constructs, and microfluidic devices. However, incorporating and modeling the melanoma TME and immune component remains a significant challenge. Here, we review recent literature regarding the generation of in vitro 3D models of normal skin and melanoma and the approaches used to incorporate the immune compartment in such models. We discuss how these constructs could be combined and used to test immunotherapies and elucidate treatment resistance mechanisms. The development of 3D in vitro melanoma models that faithfully replicate the complexity of the TME and its interaction with the immune system will provide us with the technical tools to better understand ICI resistance and increase its efficacy, thereby improving personalized melanoma therapy.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Morphometric analysis of the infratemporal fossa using three-dimensional (3D) digital models
    Erdem, Huseyin
    Cevik, Yigit
    Safak, Nazire Kilic
    Soames, Roger W.
    Pehlivan, Umur Anil
    Boyan, Neslihan
    Oguz, Ozkan
    SURGICAL AND RADIOLOGIC ANATOMY, 2023, 45 (06) : 729 - 734
  • [22] Morphometric analysis of the infratemporal fossa using three-dimensional (3D) digital models
    Huseyin Erdem
    Yigit Cevik
    Nazire Kilic Safak
    Roger W. Soames
    Umur Anil Pehlivan
    Neslihan Boyan
    Ozkan Oguz
    Surgical and Radiologic Anatomy, 2023, 45 : 729 - 734
  • [23] Development of three-dimensional (3D) cardiac models from computed tomography angiography
    Stieger-Vanegas, S. M.
    Scollan, K. F.
    JOURNAL OF VETERINARY CARDIOLOGY, 2024, 51 : 195 - 206
  • [24] The three-dimensional (3D) printing of a flexible trachea
    Young, J. Y.
    Chao, I. C.
    Coles-Black, J. C.
    ANAESTHESIA AND INTENSIVE CARE, 2017, 45 (01) : 124 - 124
  • [25] LOGO 3D - An extension three-dimensional of LOGO
    Malfatti, SM
    Francisco, DJ
    Nunes, MASN
    Dos Santos, SR
    XIV BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS, 2001, : 383 - 383
  • [26] Application of Three-Dimensional (3D) Printing in Neurosurgery
    Li, Hao
    Lu, Linyun
    Li, Ning
    Zi, Liu
    Wen, Qian
    ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2022, 2022
  • [27] Three-dimensional (3D) facial recognition and prediction
    Okuwobi, Idowu Paul
    Chen, Qiang
    Niu, Sijie
    Bekalo, Loza
    SIGNAL IMAGE AND VIDEO PROCESSING, 2016, 10 (06) : 1151 - 1158
  • [28] The 3D Tractus: A three-dimensional drawing board
    Lapides, P
    Sharlin, E
    Sousa, MC
    Streit, L
    FIRST IEEE INTERNATIONAL WORKSHOP ON HORIZONTAL INTERACTIVE HUMAN-COMPUTER SYSTEMS, 2006, : 167 - 174
  • [29] Scaffolds Bioink for Three-Dimensional (3D) Bioprinting
    An, Jin-Hee
    Kim, Hack-Youn
    FOOD SCIENCE OF ANIMAL RESOURCES, 2025, 45 (01)
  • [30] Three-dimensional (3D) facial recognition and prediction
    Idowu Paul Okuwobi
    Qiang Chen
    Sijie Niu
    Loza Bekalo
    Signal, Image and Video Processing, 2016, 10 : 1151 - 1158