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Usage Information

FAM83A confers EGFR-TKI resistance in breast cancer cells and in mice
Sun-Young Lee, Roland Meier, Saori Furuta, Marc E. Lenburg, Paraic A. Kenny, Ren Xu, Mina J. Bissell
Sun-Young Lee, Roland Meier, Saori Furuta, Marc E. Lenburg, Paraic A. Kenny, Ren Xu, Mina J. Bissell
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Research Article

FAM83A confers EGFR-TKI resistance in breast cancer cells and in mice

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Abstract

Breast cancers commonly become resistant to EGFR–tyrosine kinase inhibitors (EGFR-TKIs); however, the mechanisms of this resistance remain largely unknown. We hypothesized that resistance may originate, at least in part, from molecular alterations that activate signaling downstream of EGFR. Using a screen to measure reversion of malignant cells into phenotypically nonmalignant cells in 3D gels, we identified FAM83A as a candidate cancer-associated gene capable of conferring resistance to EGFR-TKIs. FAM83A overexpression in cancer cells increased proliferation and invasion and imparted EGFR-TKI resistance both in cultured cells and in animals. Tumor cells that survived EGFR-TKI treatment in vivo had upregulated FAM83A levels. Additionally, FAM83A overexpression dramatically increased the number and size of transformed foci in cultured cells and anchorage-independent growth in soft agar. Conversely, FAM83A depletion in cancer cells caused reversion of the malignant phenotype, delayed tumor growth in mice, and rendered cells more sensitive to EGFR-TKI. Analyses of published clinical data revealed a correlation between high FAM83A expression and breast cancer patients’ poor prognosis. We found that FAM83A interacted with and caused phosphorylation of c-RAF and PI3K p85, upstream of MAPK and downstream of EGFR. These data provide an additional mechanism by which tumor cells can become EGFR-TKI resistant.

Authors

Sun-Young Lee, Roland Meier, Saori Furuta, Marc E. Lenburg, Paraic A. Kenny, Ren Xu, Mina J. Bissell

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Usage data is cumulative from November 2025 through November 2026.

Usage JCI PMC
Text version 1,466 60
PDF 349 18
Figure 634 1
Supplemental data 161 0
Citation downloads 284 0
Totals 2,894 79
Total Views 2,973
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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