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Usage Information

IRS2 mutations linked to invasion in pleomorphic invasive lobular carcinoma
Sha Zhu, B. Marie Ward, Jun Yu, Asia N. Matthew-Onabanjo, Jenny Janusis, Chung-Cheng Hsieh, Keith Tomaszewicz, Lloyd Hutchinson, Lihua Julie Zhu, Dina Kandil, Leslie M. Shaw
Sha Zhu, B. Marie Ward, Jun Yu, Asia N. Matthew-Onabanjo, Jenny Janusis, Chung-Cheng Hsieh, Keith Tomaszewicz, Lloyd Hutchinson, Lihua Julie Zhu, Dina Kandil, Leslie M. Shaw
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Research Article Oncology

IRS2 mutations linked to invasion in pleomorphic invasive lobular carcinoma

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Abstract

Pleomorphic invasive lobular carcinoma (PILC) is an aggressive variant of invasive lobular breast cancer that is associated with poor clinical outcomes. Limited molecular data are available to explain the mechanistic basis for PILC behavior. To address this issue, targeted sequencing was performed to identify molecular alterations that define PILC. This sequencing analysis identified genes that distinguish PILC from classic ILC and invasive ductal carcinoma by the incidence of their genomic changes. In particular, insulin receptor substrate 2 (IRS2) is recurrently mutated in PILC, and pathway analysis reveals a role for the insulin receptor (IR)/insulin-like growth factor-1 receptor (IGF1R)/IRS2 signaling pathway in PILC. IRS2 mutations identified in PILC enhance invasion, revealing a role for this signaling adaptor in the aggressive nature of PILC.

Authors

Sha Zhu, B. Marie Ward, Jun Yu, Asia N. Matthew-Onabanjo, Jenny Janusis, Chung-Cheng Hsieh, Keith Tomaszewicz, Lloyd Hutchinson, Lihua Julie Zhu, Dina Kandil, Leslie M. Shaw

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 556 72
PDF 98 35
Figure 223 1
Table 85 0
Supplemental data 26 0
Citation downloads 129 0
Totals 1,117 108
Total Views 1,225
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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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