The 3D Revolution in Cancer Discovery

Wang, Linghua; Li, Mingyao; Hwang, Tae Hyun

doi:10.1158/2159-8290.CD-23-1499

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Special Commentaries| April 04 2024

The 3D Revolution in Cancer Discovery

Linghua Wang

0000-0001-9380-0266

;

Linghua Wang * #

1Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.

2UTHealth Houston Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas.

*Corresponding Authors: Linghua Wang, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1881 East Road, 3SCR6.4111, Unit 1954, Houston, TX 77054. E-mail: LWang22@mdanderson.org; Mingyao Li, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, 213 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104. E-mail: mingyao@pennmedicine.upenn.edu; and Tae Hyun Hwang, Department of Artificial Intelligence and Informatics, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224. E-mail: Hwang.TaeHyun@mayo.edu

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Mingyao Li

0000-0003-2422-9494

;

Mingyao Li * #

3Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

*Corresponding Authors: Linghua Wang, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1881 East Road, 3SCR6.4111, Unit 1954, Houston, TX 77054. E-mail: LWang22@mdanderson.org; Mingyao Li, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, 213 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104. E-mail: mingyao@pennmedicine.upenn.edu; and Tae Hyun Hwang, Department of Artificial Intelligence and Informatics, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224. E-mail: Hwang.TaeHyun@mayo.edu

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Tae Hyun Hwang

0000-0002-6668-7269

Tae Hyun Hwang * #

4Department of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, Florida.

*Corresponding Authors: Linghua Wang, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1881 East Road, 3SCR6.4111, Unit 1954, Houston, TX 77054. E-mail: LWang22@mdanderson.org; Mingyao Li, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, 213 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104. E-mail: mingyao@pennmedicine.upenn.edu; and Tae Hyun Hwang, Department of Artificial Intelligence and Informatics, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224. E-mail: Hwang.TaeHyun@mayo.edu

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Author & Article Information

#

L. Wang, M. Li, and T.H. Hwang contributed equally to this article.

*Corresponding Authors: Linghua Wang, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1881 East Road, 3SCR6.4111, Unit 1954, Houston, TX 77054. E-mail: LWang22@mdanderson.org; Mingyao Li, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, 213 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104. E-mail: mingyao@pennmedicine.upenn.edu; and Tae Hyun Hwang, Department of Artificial Intelligence and Informatics, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224. E-mail: Hwang.TaeHyun@mayo.edu

Cancer Discov 2024;14:625–9

Online ISSN: 2159-8290

Print ISSN: 2159-8274

2024

American Association for Cancer Research

Cancer Discov (2024) 14 (4): 625–629.

https://doi.org/10.1158/2159-8290.CD-23-1499

Summary:

The transition from 2D to 3D spatial profiling marks a revolutionary era in cancer research, offering unprecedented potential to enhance cancer diagnosis and treatment. This commentary outlines the experimental and computational advancements and challenges in 3D spatial molecular profiling, underscoring the innovation needed in imaging tools, software, artificial intelligence, and machine learning to overcome implementation hurdles and harness the full potential of 3D analysis in the field.

2024

American Association for Cancer Research

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