Suppr超能文献

T 细胞受体谱系使用与曲妥珠单抗联合拉帕替尼治疗人表皮生长因子受体 2 阳性乳腺癌应答的相关性:NeoALTTO 随机临床试验的二次分析。

Association of T-Cell Receptor Repertoire Use With Response to Combined Trastuzumab-Lapatinib Treatment of HER2-Positive Breast Cancer: Secondary Analysis of the NeoALTTO Randomized Clinical Trial.

机构信息

Breast Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut.

Computational Biology and Bioinformatics Program, Yale University, New Haven, Connecticut.

出版信息

JAMA Oncol. 2018 Nov 1;4(11):e181564. doi: 10.1001/jamaoncol.2018.1564. Epub 2018 Nov 8.

Abstract

IMPORTANCE

Dual anti-HER2 blockade increased the rate of pathologic complete response (pCR) in the Neoadjuvant Lapatinib and/or Trastuzumab Treatment Optimisation (NeoALTTO) trial, and high immune gene expression was associated with pCR in all treatment arms. So far, no marker has been identified that is specifically associated with the benefit from dual HER2 blockade.

OBJECTIVE

To examine if use of the T-cell β chain variable genes adds to the potential association of immune gene signatures with response to dual HER2 blockade.

DESIGN, SETTING, AND PARTICIPANTS: In the NeoALTTO trial, HER2-positive patients recruited between January 5, 2008, and May 27, 2010, were treated with paclitaxel plus either lapatinib or trastuzumab or both as neoadjuvant therapy. In this study, RNA sequencing data from baseline tumor specimens of 245 patients in the NeoALTTO trial were analyzed and reads were aligned to TRBV gene reference sequences using a previously published Basic Local Alignment Search Tool T-cell receptor mapping pipeline. Total TRBV gene use, Shannon entropy, and gene richness were calculated for each tumor, and nonnegative matrix factorization was used to define TRBV co-use metagenes (TMGs). The association between TRBV metrics, tumor genomic metrics, and response was assessed with multivariable logistic regression. Statistical analysis was performed from January 23 to December 2, 2017.

MAIN OUTCOMES AND MEASURES

The association between TRBV use metrics and pCR.

RESULTS

Among the 245 women with available data (mean [SD] age, 49 [11] years), total TRBV use correlated positively with a gene expression signature for immune activity (Spearman ρ = 0.93; P < .001). High use of TRBV11-3 and TMG2, characterized by high use of TRBV4.3, TRBV6.3, and TRBV7.2, was associated with a higher rate of pCR to dual HER2-targeted therapy (TRBV11-3 interaction: odds ratio, 2.63 [95% CI, 1.22-6.47]; P = .02; TMG2 interaction: odds ratio, 3.39 [95% CI, 1.57-8.27]; P = .004). Immune-rich cancers with high TMG2 levels (n = 92) had significantly better response to dual HER2-targeted treatment compared with the single therapy arms (rate of pCR, 68% [95% CI, 52%-83%] vs 21% [95% CI, 10%-31%]; P < .001), whereas those with low TMG2 levels did not benefit from dual therapy. High TMG2 levels were also associated with a higher rate of pCR to the combined therapy in immune-poor tumors (n = 30; pCR, 50% [95% CI, 22%-78%] vs 6% [95% CI, 0%-16%]; P = .009).

CONCLUSIONS AND RELEVANCE

Use patterns of TRBV genes potentially provide information about the association with response to dual HER2 blockade beyond immune gene signatures. High use of TRBV11.3 or TRBV4.3, TRBV6.3, and TRBV7.2 identifies patients who have a better response to dual HER2 targeted therapy.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT00553358.

摘要

重要性

在 Neoadjuvant Lapatinib 和/或 Trastuzumab Treatment Optimization(NeoALTTO)试验中,双重抗 HER2 阻断增加了病理完全缓解(pCR)的发生率,并且所有治疗组中高免疫基因表达与 pCR 相关。到目前为止,尚未确定与双重 HER2 阻断获益相关的特定标志物。

目的

研究 T 细胞β链可变基因的使用是否可以增加免疫基因特征与双重 HER2 阻断反应之间的潜在关联。

设计、地点和参与者:在 NeoALTTO 试验中,招募了 2008 年 1 月 5 日至 2010 年 5 月 27 日之间的 HER2 阳性患者,他们接受紫杉醇加拉帕替尼或曲妥珠单抗或两者作为新辅助治疗。在这项研究中,分析了 NeoALTTO 试验 245 名患者的基线肿瘤标本的 RNA 测序数据,并使用先前发表的基本局部比对搜索工具 T 细胞受体图谱管道将读数与 TRBV 基因参考序列对齐。为每个肿瘤计算了总 TRBV 基因使用、香农熵和基因丰富度,并使用非负矩阵分解定义 TRBV 共同使用元基因(TMG)。使用多变量逻辑回归评估 TRBV 度量、肿瘤基因组度量和反应之间的关联。统计分析于 2017 年 1 月 23 日至 12 月 2 日进行。

主要结果和措施

TRBV 使用度量与 pCR 的关联。

结果

在 245 名有可用数据的女性中(平均[标准差]年龄,49[11]岁),总 TRBV 使用与免疫活性的基因表达特征呈正相关(Spearman ρ=0.93;P<0.001)。高 TRBV11-3 和 TMG2 的使用,其特征是高使用 TRBV4.3、TRBV6.3 和 TRBV7.2,与双重 HER2 靶向治疗的更高 pCR 率相关(TRBV11-3 相互作用:优势比,2.63[95%置信区间,1.22-6.47];P=0.02;TMG2 相互作用:优势比,3.39[95%置信区间,1.57-8.27];P=0.004)。高 TMG2 水平的免疫丰富型癌症(n=92)与双重 HER2 靶向治疗相比,单药治疗组的反应明显更好(pCR 率,68%[95%置信区间,52%-83%]与 21%[95%置信区间,10%-31%];P<0.001),而 TMG2 水平低的患者则不能从双重治疗中获益。高 TMG2 水平也与免疫缺陷型肿瘤的联合治疗更高的 pCR 率相关(n=30;pCR,50%[95%置信区间,22%-78%]与 6%[95%置信区间,0%-16%];P=0.009)。

结论和相关性

TRBV 基因的使用模式可能提供了与双重 HER2 阻断反应相关的信息,超出了免疫基因特征。高使用 TRBV11.3 或 TRBV4.3、TRBV6.3 和 TRBV7.2 可识别出对双重 HER2 靶向治疗反应更好的患者。

试验注册

ClinicalTrials.gov 标识符:NCT00553358。

相似文献

引用本文的文献

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验