评估<i>ERBB2</i>和HER2在转移性乳腺癌中的表达,使用nCounter®系统和100个基因量表

R.  M. Paltuev, O.  A. Volynshchikova, Sh.  R. Abdullaeva, S.  N. Aleksakhina, A.  S. Artemyeva, E.  A. Baychorov, S.  Yu. Bakharev, Yu.  A. Belaya, A.  A. Bozhok, V.  A. Vasin, V.  I. Vladimirov, A.  Yu. Vorontsov, E.  A. Gaysina, A.  A. Gofman, V.  N. Dmitriev, E.  N. Imyanitov, V.  V. Klimenko, A.  V. Komyakhov, M.  M. Konstantinova, M. V. Kopp, A.  G. Kudaybergenova, I.  A. Lalak, D.  L. Matevosyan, N.  M. Mudzhiri, O.  V. Poltareva, O.  I. Sevryukova, V.  F. Semiglazov, T.  Yu. Semiglazova, M.  M. Urezkova, A.  S. Chichkanova, L.  A. Churilova, M.  V. Shomova
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引用次数: 0

摘要

背景。肿瘤的个体分子特征可以作为癌症患者量身定制治疗方法、预测病程和结局以及及时纠正治疗的基础。肿瘤基因组分析允许以个体方式进行更精确的肿瘤评估。准确识别乳腺肿瘤的HER2状态对于临床决策和适当的治疗策略至关重要。的目标。提高乳腺癌全身治疗的疗效,减少不适当的处方,并确保利用肿瘤个体分子特征的信息进行全身乳腺癌治疗的量身定制方法。材料和方法。我们在106例转移性乳腺癌患者的肿瘤样本中探讨了100个参与乳腺癌发展的基因的表达。我们使用了基于直接数字目标检测的nCounter技术,使用彩色编码的分子条形码。我们分析了28个对乳腺癌具有高预测价值的基因的表达。结果。nCounter技术允许我们对肿瘤组织样本中28个基因的表达进行半定量评估。比较ERBB2和HER2的表达。HER2在252.32 ~ 6000个条形码之间的表达相当于HER2(0)状态;在6000 ~ 9196.25个条码之间,到HER2 (1+);在9196.25 ~ 15022.46之间,为HER2 (2+/ISH±);和 15022.46条形码,到HER2(3+)。如果HER2(3+)和ERBB2低于6000个条形码,则认为结果为假阳性。HER2(0)或(1+)和ERBB2大于15 000个条形码者为假阴性。在18种肿瘤中,结果的差异意味着两种主要不同的乳腺癌亚型需要不同的治疗方法;2例患者HER2表达水平存在差异。结论。应在切除样本上进行HER2检测(理想情况下是在用于基因组检测的同一块上)。尽管HER2富集分子类别与抗HER2治疗反应之间存在相关性,但在结果验证后,不一致病例中HER2状态的最终结果应基于目前批准的检测方法。
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Assessment of <i>ERBB2</i> and HER2 expression in metastatic breast cancer using the nCounter® system and a 100-gene scale
Background . Individual molecular characteristics of a tumor can serve as a basis for a tailored approach to therapy, prediction of the disease course and outcome, and timely treatment correction in cancer patients. Tumor genomic profiling allows for a more precise tumor assessment in an individual manner. Accurate identification of the HER2 status of a breast tumor is crucial for clinical decisions and appropriate treatment strategy. Aim. To increase the efficacy of systemic therapy for breast cancer, reduce inappropriate prescribing, and ensure a tailored approach to systemic breast cancer therapy using the information on individual molecular characteristics of the tumor. Materials and methods . We explored the expression of 100 genes involved in breast cancer development in 106 tumor samples from patients with metastatic breast cancer. We used the nCounter technology based on direct digital target detection using color-coded molecular barcodes. We analyzed the expression of 28 genes with a high predictive value for breast cancer. Results. The nCounter technology allowed us to perform semiquantitative assessment of the expression of 28 genes in tumor tissue samples. We compared the expression of ERBB2 and HER2. The HER2 expression between 252.32 and 6000 barcodes was equivalent to HER2 (0) status; between 6000 and 9196.25 barcodes, to HER2 (1+); between 9196.25 and 15022.46, to HER2 (2+/ISH±); and 15022.46 barcodes, to HER2 (3+). In case of HER2 (3+) and ERBB2 below 6000 barcodes, the result was considered false positive. In case of HER2 (0) or (1+) and ERBB2 above 15 000 barcodes, the result was considered false negative. In 18 tumors, the discrepancies in the results meant two principally different breast cancer subtypes requiring different treatments; in 2 cases, the discrepancies were in the level of HER2 expression. Conclusion. HER2 testing should be performed on an excision sample (ideally on the same block that was used for genomic testing). Despite the correlation between the HER2-enriched molecular class and the response to anti-HER2 therapy, the final result on HER2 status in discordant cases should be based on currently approved assays after results validation.
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Opuholi Zenskoj Reproduktivnoj Sistemy
Opuholi Zenskoj Reproduktivnoj Sistemy Medicine-Obstetrics and Gynecology
CiteScore
0.50
自引率
0.00%
发文量
38
审稿时长
10 weeks
期刊最新文献
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