Literature DB >> 33888518

Artificial Intelligence-Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in RAS Wild-Type Metastatic Colorectal Cancer.

Philip Quirke1, Kandavel Shanmugam2, Christopher J M Williams1,3, Jenny F Seligmann3, Faye Elliott3, Michael Shires1, Susan D Richman1, Sarah Brown4, Liping Zhang5, Shalini Singh5, Judith Pugh5, Xiao-Meng Xu5, Andrea Muranyi5, Christoph Guetter6, Auranuch Lorsakul6, Uday Kurkure6, Zuo Zhao6, Jim Martin6, Xingwei Wang6, Kien Nguyen7, Wen-Wei Liu5, Dongyao Yan5, Nicholas P West1, Jennifer H Barrett3, Michael Barnes7, Isaac Bai5, Matthew T Seymour3.   

Abstract

PURPOSE: High tumor mRNA levels of the EGFR ligands amphiregulin (AREG) and epiregulin (EREG) are associated with anti-EGFR agent response in metastatic colorectal cancer (mCRC). However, ligand RNA assays have not been adopted into routine practice due to issues with analytic precision and practicality. We investigated whether AREG/EREG IHC could predict benefit from the anti-EGFR agent panitumumab. EXPERIMENTAL
DESIGN: Artificial intelligence algorithms were developed to assess AREG/EREG IHC in 274 patients from the PICCOLO trial of irinotecan with or without panitumumab (Ir vs. IrPan) in RAS wild-type mCRC. The primary endpoint was progression-free survival (PFS). Secondary endpoints were RECIST response rate (RR) and overall survival (OS). Models were repeated adjusting separately for BRAF mutation status and primary tumor location (PTL).
RESULTS: High ligand expression was associated with significant PFS benefit from IrPan compared with Ir [8.0 vs. 3.2 months; HR, 0.54; 95% confidence interval (CI), 0.37-0.79; P = 0.001]; whereas low ligand expression was not (3.4 vs. 4.4 months; HR, 1.05; 95% CI, 0.74-1.49; P = 0.78). The ligand-treatment interaction was significant (P interaction = 0.02) and remained significant after adjustment for BRAF-mutation status and PTL. Likewise, RECIST RR was significantly improved in patients with high ligand expression (IrPan vs. Ir: 48% vs. 6%; P < 0.0001) but not those with low ligand expression (25% vs. 14%; P = 0.10; P interaction = 0.01). The effect on OS was similar but not statistically significant.
CONCLUSIONS: AREG/EREG IHC identified patients who benefitted from the addition of panitumumab to irinotecan chemotherapy. IHC is a practicable assay that may be of use in routine practice. ©2021 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 33888518     DOI: 10.1158/1078-0432.CCR-21-0120

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  6 in total

1.  Targeting epiregulin in the treatment-damaged tumor microenvironment restrains therapeutic resistance.

Authors:  Changxu Wang; Qilai Long; Qiang Fu; Qixia Xu; Da Fu; Yan Li; Libin Gao; Jianming Guo; Xiaoling Zhang; Eric W-F Lam; Judith Campisi; Yu Sun
Journal:  Oncogene       Date:  2022-10-06       Impact factor: 8.756

2.  Comparison of manual and automated digital image analysis systems for quantification of cellular protein expression.

Authors:  T Jagomast; C Idel; L Klapper; P Kuppler; L Proppe; S Beume; M Falougy; D Steller; S G Hakim; A Offermann; M C Roesch; K L Bruchhage; S Perner; J Ribbat-Idel
Journal:  Histol Histopathol       Date:  2022-02-11       Impact factor: 2.130

3.  p130Cas Is Correlated with EREG Expression and a Prognostic Factor Depending on Colorectal Cancer Stage and Localization Reducing FOLFIRI Efficacy.

Authors:  Jörg Kumbrink; Pan Li; Agnes Pók-Udvari; Frederick Klauschen; Thomas Kirchner; Andreas Jung
Journal:  Int J Mol Sci       Date:  2021-11-16       Impact factor: 5.923

Review 4.  The Role of EREG/EGFR Pathway in Tumor Progression.

Authors:  Wan-Li Cheng; Po-Hao Feng; Kang-Yun Lee; Kuan-Yuan Chen; Wei-Lun Sun; Nguyen Van Hiep; Ching-Shan Luo; Sheng-Ming Wu
Journal:  Int J Mol Sci       Date:  2021-11-27       Impact factor: 5.923

Review 5.  Leveraging Comprehensive Cancer Registry Data to Enable a Broad Range of Research, Audit and Patient Support Activities.

Authors:  Belinda Lee; Lucy Gately; Sheau Wen Lok; Ben Tran; Margaret Lee; Rachel Wong; Ben Markman; Kate Dunn; Vanessa Wong; Matthew Loft; Azim Jalili; Angelyn Anton; Richard To; Miles Andrews; Peter Gibbs
Journal:  Cancers (Basel)       Date:  2022-08-26       Impact factor: 6.575

Review 6.  Use of Personalized Biomarkers in Metastatic Colorectal Cancer and the Impact of AI.

Authors:  Simona-Ruxandra Volovat; Iolanda Augustin; Daniela Zob; Diana Boboc; Florin Amurariti; Constantin Volovat; Cipriana Stefanescu; Cati Raluca Stolniceanu; Manuela Ciocoiu; Eduard Alexandru Dumitras; Mihai Danciu; Delia Gabriela Ciobanu Apostol; Vasile Drug; Sinziana Al Shurbaji; Lucia-Georgiana Coca; Florin Leon; Adrian Iftene; Paul-Corneliu Herghelegiu
Journal:  Cancers (Basel)       Date:  2022-10-03       Impact factor: 6.575

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.