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Maner et al. J Cancer Metastasis Treat 2020;6:37 I http://dx.doi.org/10.20517/2394-4722.2020.60 Page 33 of 40

Furthermore, the incorporation of artificial intelligence data analysis of trends between the various
pathways can help improve management of cutaneous malignancies by clinicians. Once these conditions
are elucidated, oncologists can develop prospective personalized dynamic genetic testing for identifying the
critical set of active oncogenetic pathways that need to be disrupted at particular moments. This process
would then transform the lives of individual patients suffering from multiple cutaneous malignancies
around the world.

DECLARATIONS
Authors’ contributions
Wrote, final edited and revised the manuscript: Maner BS, Dupuis L, Su A, Jueng JJ, Harding TP,
Meisenheimer VII J, Siddiqui FS, Hardack MR, Aneja S, Solomon JA
Contributed to Figure 10: Su A
Contributed to Figures 1, 2, 3, 6, 7, 8, 12 and reference organization: Meisenheimer VII J

Availability of data and materials
Not applicable.

Financial support and sponsorship
None.

Conflicts of interest
None that may be perceived as influencing the representation or interpretation of review other than Dr.
James A. Solomon was a clinical investigator of Vismodegib clinical trials and expanded access program-
funds paid to his employer and has been a paid consultant by Genentech, Sun Pharmaceuticals, Mayne
Pharmaceuticals.

Ethical approval and consent to participate
Not applicable.

Consent for publication
Not applicable.

Copyright
© The Author(s) 2020.

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