3D Spheroids Propel Tumor Characterization

Shengli Li; Zhao Zhang; Leng Han

doi:10.1016/j.trecan.2020.05.002

3D Spheroids Propel Tumor Characterization

Trends Cancer. 2020 Aug;6(8):622-624. doi: 10.1016/j.trecan.2020.05.002. Epub 2020 May 15.

Authors

Shengli Li¹, Zhao Zhang², Leng Han³

Affiliations

¹ Department of Biochemistry and Molecular Biology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX 77030, USA. Electronic address: [email protected].
² Department of Biochemistry and Molecular Biology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
³ Department of Biochemistry and Molecular Biology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Center for Precision Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA. Electronic address: [email protected].

PMID: 32423684
DOI: 10.1016/j.trecan.2020.05.002

Abstract

Determining the functions of cancer driver genes in cancer models to mimic in vivo tumors has been a significant challenge. In a recent study, Han et al. implemented large-scale clustered regularly interspaced short palindromic repeats (CRISPR) screening in 3D lung cancer spheroids, revealing advantages of 3D spheroids over 2D monolayers, wherein novel therapeutic targets were identified, such as carboxypeptidase D (CPD).

Keywords: 3D cancer-spheroids; CRISPR screening; cancer vulnerabilities; carboxypeptidase D.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Clustered Regularly Interspaced Short Palindromic Repeats*
Humans
Lung Neoplasms*
Oncogenes