利用新鲜冷冻组织的微阵列数据研究 EndoPredict® 对 ER 阳性、HER2 阴性乳腺癌的复发预测能力，并根据从新鲜冷冻组织到 FFPE 组织的微阵列数据扩大 EndoPredict® 的适应症范围

IF 4 3区医学 Q1 OBSTETRICS & GYNECOLOGY

Breast Cancer Pub Date : 2024-04-08 DOI:10.1007/s12282-024-01573-7

Akira Watanabe, Ryo Tsunashima, Chikage Kato, Sae Kitano, Saya Matsumoto, Yoshiaki Sota, Midori Morita, Koichi Sakaguchi, Yasuto Naoi

{"title":"利用新鲜冷冻组织的微阵列数据研究 EndoPredict® 对 ER 阳性、HER2 阴性乳腺癌的复发预测能力，并根据从新鲜冷冻组织到 FFPE 组织的微阵列数据扩大 EndoPredict® 的适应症范围","authors":"Akira Watanabe, Ryo Tsunashima, Chikage Kato, Sae Kitano, Saya Matsumoto, Yoshiaki Sota, Midori Morita, Koichi Sakaguchi, Yasuto Naoi","doi":"10.1007/s12282-024-01573-7","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background</h3><p>EndoPredict<sup>®</sup> (EP) is a multigene assay to predict distant recurrence risk in luminal breast cancer. EP measures the expression of 12 genes in primary tumor by qRT-PCR from formalin-fixed paraffin-embedded (FFPE) tissues and calculates EP risk score that indicates the risk of distant recurrence. We evaluated the performance of EP in predicting distant recurrence risk using microarray data from fresh frozen (FF) tissues. We also examined the applicability of EP to microarray data from FFPE tissues.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>We analyzed the publicly available data of 431 node-negative and 270 node-positive patients with luminal breast cancer who received endocrine therapy alone. We evaluated the prognostic value of EP using microarray data from FF tissues. Next, we created an algorithm to calculate EP risk score using microarray data from FFPE tissues. We examined the correlation coefficient of EP risk score and concordance rate of EP risk high/low using microarray data from FFPE/FF tissue pairs in a validation set of 39 patients.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>In 431 node-negative patients, the distant recurrence-free survival (DRFS) rate was significantly worse in those with high EP risk scores (<i>P</i> = 3.68 × 10<sup>−6</sup>, log-rank). The 5-year DRFS was 95.2% in those with low EP risk score. In the validation set, the correlation coefficient of EP risk score was 0.93 and the concordance rate of EP risk high/low was 91.7%.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>EP using microarray data from FF tissues was useful in predicting distant recurrence risk in luminal breast cancer, and EP might be utilized in microarray data from FFPE tissues.</p>","PeriodicalId":56083,"journal":{"name":"Breast Cancer","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of recurrence prediction ability of EndoPredict® using microarray data from fresh frozen tissues in ER-positive, HER2-negative breast cancer and indication expansion of EndoPredict® from microarray data from fresh-frozen to FFPE tissues\",\"authors\":\"Akira Watanabe, Ryo Tsunashima, Chikage Kato, Sae Kitano, Saya Matsumoto, Yoshiaki Sota, Midori Morita, Koichi Sakaguchi, Yasuto Naoi\",\"doi\":\"10.1007/s12282-024-01573-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Background</h3><p>EndoPredict<sup>®</sup> (EP) is a multigene assay to predict distant recurrence risk in luminal breast cancer. EP measures the expression of 12 genes in primary tumor by qRT-PCR from formalin-fixed paraffin-embedded (FFPE) tissues and calculates EP risk score that indicates the risk of distant recurrence. We evaluated the performance of EP in predicting distant recurrence risk using microarray data from fresh frozen (FF) tissues. We also examined the applicability of EP to microarray data from FFPE tissues.</p><h3 data-test=\\\"abstract-sub-heading\\\">Methods</h3><p>We analyzed the publicly available data of 431 node-negative and 270 node-positive patients with luminal breast cancer who received endocrine therapy alone. We evaluated the prognostic value of EP using microarray data from FF tissues. Next, we created an algorithm to calculate EP risk score using microarray data from FFPE tissues. We examined the correlation coefficient of EP risk score and concordance rate of EP risk high/low using microarray data from FFPE/FF tissue pairs in a validation set of 39 patients.</p><h3 data-test=\\\"abstract-sub-heading\\\">Results</h3><p>In 431 node-negative patients, the distant recurrence-free survival (DRFS) rate was significantly worse in those with high EP risk scores (<i>P</i> = 3.68 × 10<sup>−6</sup>, log-rank). The 5-year DRFS was 95.2% in those with low EP risk score. In the validation set, the correlation coefficient of EP risk score was 0.93 and the concordance rate of EP risk high/low was 91.7%.</p><h3 data-test=\\\"abstract-sub-heading\\\">Conclusions</h3><p>EP using microarray data from FF tissues was useful in predicting distant recurrence risk in luminal breast cancer, and EP might be utilized in microarray data from FFPE tissues.</p>\",\"PeriodicalId\":56083,\"journal\":{\"name\":\"Breast Cancer\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Breast Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12282-024-01573-7\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breast Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12282-024-01573-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}

引用次数: 0

摘要

背景EndoPredict®（EP）是一种预测腔隙性乳腺癌远处复发风险的多基因检测方法。EP通过对福尔马林固定石蜡包埋（FFPE）组织进行qRT-PCR检测，测量原发肿瘤中12个基因的表达，并计算出EP风险评分，以显示远处复发的风险。我们使用新鲜冷冻（FF）组织的芯片数据评估了 EP 在预测远处复发风险方面的性能。我们分析了431例结节阴性和270例结节阳性单纯接受内分泌治疗的管腔型乳腺癌患者的公开数据。我们利用 FF 组织的芯片数据评估了 EP 的预后价值。接着，我们创建了一种算法，利用 FFPE 组织的芯片数据计算 EP 风险评分。结果在431例结节阴性患者中，EP风险评分高的患者无远处复发生存率（DRFS）显著降低（P = 3.68 × 10-6, log-rank）。EP风险评分低的患者的5年无远处复发生存率为95.2%。在验证组中，EP风险评分的相关系数为0.93，EP风险高/低的吻合率为91.7%。结论使用FF组织的微阵列数据进行EP分析有助于预测腔隙性乳腺癌的远处复发风险，EP可用于FFPE组织的微阵列数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Investigation of recurrence prediction ability of EndoPredict® using microarray data from fresh frozen tissues in ER-positive, HER2-negative breast cancer and indication expansion of EndoPredict® from microarray data from fresh-frozen to FFPE tissues

查看原文本刊更多论文

Background

EndoPredict^® (EP) is a multigene assay to predict distant recurrence risk in luminal breast cancer. EP measures the expression of 12 genes in primary tumor by qRT-PCR from formalin-fixed paraffin-embedded (FFPE) tissues and calculates EP risk score that indicates the risk of distant recurrence. We evaluated the performance of EP in predicting distant recurrence risk using microarray data from fresh frozen (FF) tissues. We also examined the applicability of EP to microarray data from FFPE tissues.

Methods

We analyzed the publicly available data of 431 node-negative and 270 node-positive patients with luminal breast cancer who received endocrine therapy alone. We evaluated the prognostic value of EP using microarray data from FF tissues. Next, we created an algorithm to calculate EP risk score using microarray data from FFPE tissues. We examined the correlation coefficient of EP risk score and concordance rate of EP risk high/low using microarray data from FFPE/FF tissue pairs in a validation set of 39 patients.

Results

In 431 node-negative patients, the distant recurrence-free survival (DRFS) rate was significantly worse in those with high EP risk scores (P = 3.68 × 10⁻⁶, log-rank). The 5-year DRFS was 95.2% in those with low EP risk score. In the validation set, the correlation coefficient of EP risk score was 0.93 and the concordance rate of EP risk high/low was 91.7%.

Conclusions

EP using microarray data from FF tissues was useful in predicting distant recurrence risk in luminal breast cancer, and EP might be utilized in microarray data from FFPE tissues.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Breast Cancer ONCOLOGY-OBSTETRICS & GYNECOLOGY

CiteScore

6.70

自引率

2.50%

发文量

105

审稿时长

6-12 weeks

期刊介绍： Breast Cancer, the official journal of the Japanese Breast Cancer Society, publishes articles that contribute to progress in the field, in basic or translational research and also in clinical research, seeking to develop a new focus and new perspectives for all who are concerned with breast cancer. The journal welcomes all original articles describing clinical and epidemiological studies and laboratory investigations regarding breast cancer and related diseases. The journal will consider five types of articles: editorials, review articles, original articles, case reports, and rapid communications. Although editorials and review articles will principally be solicited by the editors, they can also be submitted for peer review, as in the case of original articles. The journal provides the best of up-to-date information on breast cancer, presenting readers with high-impact, original work focusing on pivotal issues.