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Discordance of the PAM50 Intrinsic Subtypes Compared with Immunohistochemistry-Based Surrogate in Breast Cancer Patients: Potential Implication of Genomic Alterations of Discordance

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Purpose We aimed to analyze the discordance between immunohistochemistry (IHC)-based surrogate subtyping and PAM50 intrinsic subtypes and to assess overall survival (OS) according to discordance. Materials and Methods A total of 607 patients were analyzed. Hormone receptor (HR) expression was evaluated by IHC, and human epidermal growth factor receptor 2 (HER2) expression was analyzed by IHC and/or fluorescence in situ hybridization. PAM50 intrinsic subtypes were determined according to 50 cancer genes using the NanoString nCounter Analysis System. We matched concordant tumor as luminal A and HR+/HER2–, luminal B and HR+/HER2+, HR–/HER2+ and HER2–enriched, and triple-negative breast cancer (TNBC) and normal- or basal-like. We used Ion Ampliseq Cancer Panel v2 was used to identify the genomic alteration related with discordance. The Kaplan-Meier method was used to estimate OS. Results In total, 233 patients (38.4%) were discordant between IHC-based subtype and PAM50 intrinsic subtype. Using targeted sequencing, we detected somatic mutation–related discordant breast cancer including the VHL gene in the HR+/HER2– group (31% in concordant group, 0% in discordant group, p=0.03) and the IDH and RET genes (7% vs. 12%, p=0.02 and 0% vs. 25%, p=0.02, respectively) in the TNBC group. Among the luminal A/B patients with a discordant result had significantly worse OS (median OS, 73.6 months vs. not reached; p < 0.001), and among the patients with HR positivity, the basal-like group as determined by PAM50 showed significantly inferior OS compared to other intrinsic subtypes (5-year OS rate, 92.2% vs. 75.6%; p=0.01). Conclusion A substantial portion of patients showed discrepancy between IHC subtype and PAM50 intrinsic subtype in our study. The survival analysis demonstrated that current IHC-based classification could mislead the treatment and result in poor outcome. Current guidelines for IHC might be updated accordingly.

Abstract

Purpose We aimed to analyze the discordance between immunohistochemistry (IHC)-based surrogate subtyping and PAM50 intrinsic subtypes and to assess overall survival (OS) according to discordance. Materials and Methods A total of 607 patients were analyzed. Hormone receptor (HR) expression was evaluated by IHC, and human epidermal growth factor receptor 2 (HER2) expression was analyzed by IHC and/or fluorescence in situ hybridization. PAM50 intrinsic subtypes were determined according to 50 cancer genes using the NanoString nCounter Analysis System. We matched concordant tumor as luminal A and HR+/HER2–, luminal B and HR+/HER2+, HR–/HER2+ and HER2–enriched, and triple-negative breast cancer (TNBC) and normal- or basal-like. We used Ion Ampliseq Cancer Panel v2 was used to identify the genomic alteration related with discordance. The Kaplan-Meier method was used to estimate OS. Results In total, 233 patients (38.4%) were discordant between IHC-based subtype and PAM50 intrinsic subtype. Using targeted sequencing, we detected somatic mutation–related discordant breast cancer including the VHL gene in the HR+/HER2– group (31% in concordant group, 0% in discordant group, p=0.03) and the IDH and RET genes (7% vs. 12%, p=0.02 and 0% vs. 25%, p=0.02, respectively) in the TNBC group. Among the luminal A/B patients with a discordant result had significantly worse OS (median OS, 73.6 months vs. not reached; p < 0.001), and among the patients with HR positivity, the basal-like group as determined by PAM50 showed significantly inferior OS compared to other intrinsic subtypes (5-year OS rate, 92.2% vs. 75.6%; p=0.01). Conclusion A substantial portion of patients showed discrepancy between IHC subtype and PAM50 intrinsic subtype in our study. The survival analysis demonstrated that current IHC-based classification could mislead the treatment and result in poor outcome. Current guidelines for IHC might be updated accordingly.

참고문헌 (30)

  1. Torre LA, "Global cancer statistics, 2012", CA Cancer J Clin, 65, pp.87~108 (2015)
  2. Cancer Genome Atlas Network, "Comprehensive molecular portraits of human breast tumours", Nature, 490, pp.61~70 (2012)
  3. Perou CM, "Molecular portraits of human breast tumours", Nature, 406, pp.747~752 (2000)
  4. Prat A, "PAM50 assay and the three-gene model for identifying the major and clinically relevant molecular subtypes of breast cancer", Breast Cancer Res Treat, 135, pp.301~306 (2012)
  5. Sotiriou C, "Gene-expression signatures in breast cancer", N Engl J Med, 360, pp.790~800 (2009)
  6. Paik S, "A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer", N Engl J Med, 351, pp.2817~2826 (2004)
  7. Parker JS, "Supervised risk predictor of breast cancer based on intrinsic subtypes", J Clin Oncol, 27, pp.1160~1167 (2009)
  8. Prat A, "Deconstructing the molecular portraits of breast cancer", Mol Oncol, 5, pp.5~23 (2011)
  9. Gnant M, "Predicting distant recurrence in receptor-positive breast cancer patients with limited clinicopathological risk : using the PAM50 Risk of Recurrence score in 1478 postmenopausal patients of the ABCSG-8 trial treated with adjuvant endocrine therapy alone", Ann Oncol, 25, pp.339~345 (2014)
  10. Dowsett M, "Comparison of PAM50 risk of recurrence score with oncotype DX and IHC4 for predicting risk of distant recurrence after endocrine therapy", J Clin Oncol, 31, pp.2783~2790 (2013)
  11. Nielsen TO, "A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer", Clin Cancer Res, 16, pp.5222~5232 (2010)
  12. Leong SP, "Is breast cancer the same disease in Asian and Western countries?", World J Surg, 34, pp.2308~2324 (2010)
  13. 민선영, "The Basic Facts of Korean Breast Cancer in 2013: Results of a Nationwide Survey and Breast Cancer Registry Database", Journal of Breast Cancer, 19(1), pp.1~7 (2016), 한국유방암학회
  14. Park YH, "Prevalence and clinical outcomes of young breast cancer(YBC)patients according to intrinsic breast cancer subtypes : Single institutional experience in Korea", Breast, 24, pp.213~217 (2015)
  15. Harris LN, "Use of biomarkers to guide decisions on adjuvant systemic therapy for women with earlystage invasive breast cancer : American Society of Clinical Oncology clinical practice guideline", J Clin Oncol, 34, pp.1134~1150 (2016)
  16. Sohn I, "Gradient lasso for Cox proportional hazards model", Bioinformatics, 25, pp.1775~1781 (2009)
  17. Johnson WE, "Adjusting batch effects in microarray expression data using empirical Bayes methods", Biostatistics, 8, pp.118~127 (2007)
  18. Goldhirsch A, "Personalizing the treatment of women with early breast cancer : highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013", Ann Oncol, 24, pp.2206~2223 (2013)
  19. Krop I, "Use of biomarkers to guide decisions on adjuvant systemic therapy for women with early-stage invasive breast cancer : American Society of Clinical Oncology clinical practice guideline focused update", J Clin Oncol, 35, pp.2838~2847 (2017)
  20. Goldhirsch A, "Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011", Ann Oncol, 22, pp.1736~1747 (2011)
  21. Paquet ER, "Absolute assignment of breast cancer intrinsic molecular subtype", J Natl Cancer Inst, 107, pp.357~ (2015)
  22. Carey LA, "Molecular heterogeneity and response to neoadjuvant human epidermal growth factor receptor 2 targeting in CALGB 40601, a randomized phase III trial of paclitaxel plus trastuzumab with or without lapatinib", J Clin Oncol, 34, pp.542~549 (2016)
  23. Ramaswamy S, "A molecular signature of metastasis in primary solid tumors", Nat Genet, 33, pp.49~54 (2003)
  24. van 't Veer LJ, "Gene expression profiling predicts clinical outcome of breast cancer", Nature, 415, pp.530~536 (2002)
  25. Parsons DW, "An integrated genomic analysis of human glioblastoma multiforme", Science, 321, pp.1807~1812 (2008)
  26. Combs SE, "Prognostic significance of IDH-1 and MGMT in patients with glioblastoma: one step forward, and one step back?", Radiat Oncol, 6, pp.115~ (2011)
  27. Kan Z, "Diverse somatic mutation patterns and pathway alterations in human cancers", Nature, 466, pp.869~873 (2010)
  28. Plaza-Menacho I, "Current concepts in RET-related genetics, signaling and therapeutics", Trends Genet, 22, pp.627~636 (2006)
  29. Esseghir S, "A role for glial cell derived neurotrophic factor induced expression by inflammatory cytokines and RET", GFR alpha 1 receptor up-regulation in breast cancer, 2007, pp.67, 11732~11741
  30. Tozlu S, "Identification of novel genes that co-cluster with estrogen receptor alpha in breast tumor biopsy specimens, using a large-scale real-time reverse transcription-PCR approach", Endocr Relat Cancer, 13, pp.1109~1120 (2006)

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