3D Spheroids Propel Tumor Characterization

doi:10.1016/j.trecan.2020.05.002

Trends in Cancer

Volume 6, Issue 8, August 2020, Pages 622-624

https://doi.org/10.1016/j.trecan.2020.05.002 Get rights and content

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).

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Acknowledgments

We regret that page limitations have prevented us from including all the relevant work in this spotlight. This work was supported by the Cancer Prevention Research Institute of Texas (RR150085 and RP190570) to the CPRIT Scholar in Cancer Research (L.H.). This work was also supported by UTHealth Innovation for Cancer Prevention Research Training Program Post-doctoral Fellowship (Cancer Prevention and Research Institute of Texas grant # RP160015).

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³: These authors contributed equally.

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Trends in Cancer

Spotlight3D Spheroids Propel Tumor Characterization

Section snippets

Acknowledgments

Trends Mol. Med.

Biotechnol. Adv.

Genomic evolution of cancer models: perils and opportunities

Nat. Rev. Cancer

Comprehensive characterization of circular RNAs in ~1000 human cancer cell lines

Genome Med.

Transcriptional landscape and clinical utility of enhancer RNAs for eRNA-targeted therapy in cancer

Nat. Commun.

Spotlight
3D Spheroids Propel Tumor Characterization