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為什麼你的醫生相信

EndoPredict?

  • 報告分為短期治療資訊和長期治療規劃兩部份

  • 綜合生物分子科技和臨床診斷,能更了解病患的癌症狀況

  • 報告結果提供臨床建議                                 (符合NCCN Guigelines就醫指南)

  • 準確判讀病患接受化療的必要性

  • 其品牌為基因檢測的龍頭Myriad  Genetics,成立至今超過25年,接受全球超過200萬的案例。

患者也需對自己的病情負責

得知腫瘤資訊很重要,因為這會影響你的治療方案。

​手術過後,你還會接受後續的治療以防癌症復發。對於陽性ER的患者,服用賀爾蒙藥物是標準的程序,這可以降低復發的風險,超過50%的患者有良性反應。

有時候,醫師會評估化療是否有潛在受益效應來安排乳癌患者同時進行賀爾蒙治療與化療。
 

EndoPredict怎麼算出風險指數?

分析12個基因評估癒後表現

預測短期與長期的復發機率

 


 

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​整合分子指數和臨床資訊

判斷病人未來遠處器官復發的風險

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提供主治醫師關於癌症的細節,顯示患者術後若無接受化療,10年內癌症復發的風險,報告採二分法:低風險區域高風險區域

 

報告結果有什麼意義?
 

提供主治醫師關於癌症的細節,顯示患者術後若無接受化療,10年內癌症復發的風險,報告採二分法:低風險區域高風險區域

 

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復發風險低之患者

接受化療的受益性並不高

 

復發風險高之患者

接受化療搭配賀爾蒙藥物

​能有效降低未來復發的機率

 

EP指數會落在綠色或藍色區塊,顯示癌症復發的風險。

 

​這是病患若無接受化療,10年內癌症遠處器官復發的機率。

 

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EndoPredict®是唯一可以解釋三大面向的基因檢測

準確提供10年的復發機率

針對個案評估化療的受益性

提示賀爾蒙療法的反應性

References: 1. Sestak I, Martín M, Dubsky P, et al. Prediction of chemotherapy benefit by EndoPredict in patients with breast cancer who received adjuvant endocrine therapy plus chemotherapy or endocrine therapy alone. Breast Cancer Res Treat. [published online ahead of print April 30,2019]. https://doi.org/10.1007/s10549-019-05226-8. 2. Paik S, Tang G, Shak S, et al; Gene Expression and Benefit of Chemotherapy in Women with Node-Negative, Estrogen Receptor-Positive Breast Cancer. J Clin Oncol 2006; 24:3726-3734. 3. Albain K, Barlow W, Shak S, et al; Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomized trial. Lancet Oncol 2010;11:55-65. 4. Filipits M, Rudas M, Jakesz R, et al; for EP Investigators. A new molecular predictor of distant recurrence in ER‑positive, HER2-negative breast cancer adds independent information to conventional clinical risk factors. Clin Cancer Res . 2011;17(18):6012-6020. 5. Paik S, Shak S, Tang G, et al; A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer. N Engl J Med 2004; 351:2817-26. 6. van’t Veer L, Dai H, van de Vijver M, et al; Gene expression profiling predicts clinical outcome of breast cancer. Nature 2002;415:530-6. 7. Jerevall P, Ma X, Li H, et al; Prognostic utility of HOXB13:IL17BR and molecular grade index in early-stage breast cancer patients from the Stockholm trial. Br J Cancer 2011;104:1762-1769. 8. Wallden B, Storhoff J, Nielsen T, et al; Development and verification of the PAM50-based Prosigna breast cancer gene signature assay. BMC Medical Genomics 2015; 8:54. 9. National Comprehensive Cancer Network. Breast Cancer (Version 2.2018) https://www.nccn.org/professionals/physician_gls/pdf/breast.pdf. Accessed October 18, 2018. 10. Harris LN, Ismaila N, McShane LM, et al. 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. J Clin Oncol 2016;34(10):1134-1150. 11. Curigliano G, Burstein H, Winer E, et al; De-escalating and escalating treatments for early-stage breast cancer: the St. Gallen International Expert Consensus Conference on the Primary Therapy of Early Breast Cancer. Ann Oncol 2017;28:1700-1712. 12. Senkus E, Kyriakides S, Ohno S, et al; ESMO Guidelines Committee. Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 2015;26(Suppl 5):v8-v30. 13. National Institute for Health and Care Excellence. Tumor profiling tests to guide adjuvant chemotherapy decisions in early breast cancer. http://nice.org.uk/guidance/dg34. Accessed February 26, 2019. 14. Krop I, Ismaila N, Andre A, et al; 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 Foc

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