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两项前瞻性术前化疗研究中所有亚型乳腺癌的临床与微阵列分析

Clinical and microarray analysis of breast cancers of all subtypes from two prospective preoperative chemotherapy studies.

作者信息

Okuma H S, Koizumi F, Hirakawa A, Nakatochi M, Komori O, Hashimoto J, Kodaira M, Yunokawa M, Yamamoto H, Yonemori K, Shimizu C, Fujiwara Y, Tamura K

机构信息

Department of Breast and Medical Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.

Department of Medical Oncology, Graduate School of Medicine, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba-shi, Chiba 260-8670, Japan.

出版信息

Br J Cancer. 2016 Aug 9;115(4):411-9. doi: 10.1038/bjc.2016.184. Epub 2016 Jul 14.

Abstract

BACKGROUND

We aimed to analyse clinical and gene expression profiles to predict pathologic complete response and disease-free survival using two consecutive, prospective, preoperative chemotherapy trial cohorts.

METHODS

Clinicopathological and gene expression data were evaluated in a cohort from two consecutive phase II preoperative studies that included patients with stage IIA-IIIC breast cancer of all subtypes. Analysed specimens were obtained before preoperative chemotherapy, and cDNA microarray analyses were performed using the Affymetrix Gene Chip U133 plus 2.0.

RESULTS

Between December 2005 and December 2010, 122 patients were analysed. The pathologic complete response rate was significantly higher in HER2+ and HR-/HER2- cancers. Age, pathologic complete response, HR-/HER2- status, and lymph node positivity (⩾4) were significant poor prognostic factors for disease-free survival. For the cDNA microarray analyses, sufficient tumour samples were available from 78 of the 107 patients (73%). An 8-gene signature predictive of pathologic complete response and a 17-gene signature predictive of prognosis were identified. Patients were categorised into low-risk (n=45) and high-risk groups (n=33) (HR 70.0, P=0.004).

CONCLUSIONS

This study yielded preliminary data on the expression of specific genes predicting pathologic complete response and disease-free survival in a cohort of chemonaïve breast cancer patients. Further validation may distinguish those who would benefit most from perioperative chemotherapy as well as those needing further intervention.

摘要

背景

我们旨在通过两个连续的前瞻性术前化疗试验队列,分析临床和基因表达谱,以预测病理完全缓解和无病生存期。

方法

对两个连续的II期术前研究队列中的临床病理和基因表达数据进行评估,这些研究纳入了所有亚型的IIA-IIIC期乳腺癌患者。分析的标本在术前化疗前获取,并使用Affymetrix Gene Chip U133 plus 2.0进行cDNA微阵列分析。

结果

2005年12月至2010年12月期间,对122例患者进行了分析。HER2+和HR-/HER2-癌症的病理完全缓解率显著更高。年龄、病理完全缓解、HR-/HER2-状态和淋巴结阳性(⩾4个)是无病生存期的显著不良预后因素。对于cDNA微阵列分析,107例患者中有78例(73%)获得了足够的肿瘤样本。确定了一个预测病理完全缓解的8基因特征和一个预测预后的17基因特征。患者被分为低风险组(n = 45)和高风险组(n = 33)(HR 70.0,P = 0.004)。

结论

本研究产生了关于特定基因表达的初步数据,这些基因可预测初治乳腺癌患者队列中的病理完全缓解和无病生存期。进一步验证可能会区分出那些将从围手术期化疗中获益最大的患者以及那些需要进一步干预的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aa8/4985347/cf220ae48d5e/bjc2016184f1.jpg

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