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单样本乳腺癌放射敏感性基因表达预测因子的鉴定和验证。

Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors.

机构信息

Faculty of Medicine, Department of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden.

Department of Haematology, Oncology and Radiation Physics ,Skåne University Hospital, Lund, Sweden.

出版信息

Breast Cancer Res. 2018 Jul 4;20(1):64. doi: 10.1186/s13058-018-0978-y.

DOI:10.1186/s13058-018-0978-y
PMID:29973242
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6033283/
Abstract

BACKGROUND

Adjuvant radiotherapy is the standard of care after breast-conserving surgery for primary breast cancer, despite a majority of patients being over- or under-treated. In contrast to adjuvant endocrine therapy and chemotherapy, no diagnostic tests are in clinical use that can stratify patients for adjuvant radiotherapy. This study presents the development and validation of a targeted gene expression assay to predict the risk of ipsilateral breast tumor recurrence and response to adjuvant radiotherapy after breast-conserving surgery in primary breast cancer.

METHODS

Fresh-frozen primary tumors from 336 patients radically (clear margins) operated on with breast-conserving surgery with or without radiotherapy were collected. Patients were split into a discovery cohort (N = 172) and a validation cohort (N = 164). Genes predicting ipsilateral breast tumor recurrence in an Illumina HT12 v4 whole transcriptome analysis were combined with genes identified in the literature (248 genes in total) to develop a targeted radiosensitivity assay on the Nanostring nCounter platform. Single-sample predictors for ipsilateral breast tumor recurrence based on a k-top scoring pairs algorithm were trained, stratified for estrogen receptor (ER) status and radiotherapy. Two previously published profiles, the radiosensitivity signature of Speers et al., and the 10-gene signature of Eschrich et al., were also included in the targeted panel.

RESULTS

Derived single-sample predictors were prognostic for ipsilateral breast tumor recurrence in radiotherapy-treated ER+ patients (AUC 0.67, p = 0.01), ER+ patients without radiotherapy (AUC = 0.89, p = 0.02), and radiotherapy-treated ER- patients (AUC = 0.78, p < 0.001). Among ER+ patients, radiotherapy had an excellent effect on tumors classified as radiosensitive (p < 0.001), while radiotherapy had no effect on tumors classified as radioresistant (p = 0.36) and there was a high risk of ipsilateral breast tumor recurrence (55% at 10 years). Our single-sample predictors developed in ER+ tumors and the radiosensitivity signature correlated with proliferation, while single-sample predictors developed in ER- tumors correlated with immune response. The 10-gene signature negatively correlated with both proliferation and immune response.

CONCLUSIONS

Our targeted single-sample predictors were prognostic for ipsilateral breast tumor recurrence and have the potential to stratify patients for adjuvant radiotherapy. The correlation of models with biology may explain the different performance in subgroups of breast cancer.

摘要

背景

尽管大多数患者接受了过度或不足的治疗,但辅助放疗仍是原发性乳腺癌保乳手术后的标准治疗方法。与辅助内分泌治疗和化疗不同,目前没有可用于分层接受辅助放疗的患者的诊断测试。本研究提出了一种靶向基因表达检测方法的开发和验证,以预测原发性乳腺癌保乳手术后同侧乳房肿瘤复发和对辅助放疗的反应风险。

方法

从 336 例接受保乳手术(切缘清晰)联合或不联合放疗的根治性手术的患者中采集新鲜冷冻的原发性肿瘤。患者分为发现队列(n=172)和验证队列(n=164)。在 Illumina HT12 v4 全转录组分析中预测同侧乳房肿瘤复发的基因与文献中确定的基因(共 248 个基因)相结合,在 Nanostring nCounter 平台上开发靶向放射敏感性检测。基于 k-最佳评分对算法为雌激素受体(ER)状态和放疗分层训练了基于单个样本的同侧乳房肿瘤复发预测因子。还包括 Speers 等人的放射敏感性特征和 Eschrich 等人的 10 基因特征两个先前发表的特征。

结果

衍生的单个样本预测因子对接受放疗的 ER+患者(AUC 0.67,p=0.01)、未接受放疗的 ER+患者(AUC=0.89,p=0.02)和接受放疗的 ER-患者的同侧乳房肿瘤复发具有预后意义(AUC=0.78,p<0.001)。在 ER+患者中,对于被归类为放射敏感的肿瘤,放疗效果极佳(p<0.001),而对于被归类为放射抵抗的肿瘤,放疗没有效果(p=0.36),并且同侧乳房肿瘤复发的风险很高(10 年内为 55%)。我们在 ER+肿瘤中开发的单个样本预测因子与增殖相关,而在 ER-肿瘤中开发的预测因子与免疫反应相关。10 基因特征与增殖和免疫反应均呈负相关。

结论

我们的靶向单样本预测因子对同侧乳房肿瘤复发具有预后意义,并有可能为辅助放疗分层患者。模型与生物学的相关性可能解释了乳腺癌亚组中表现不同的原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/314579f98735/13058_2018_978_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/4a58a3951f63/13058_2018_978_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/c7a84b8a0d23/13058_2018_978_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/301438dba504/13058_2018_978_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/fd21fe4aface/13058_2018_978_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/314579f98735/13058_2018_978_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/4a58a3951f63/13058_2018_978_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/c7a84b8a0d23/13058_2018_978_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/301438dba504/13058_2018_978_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/fd21fe4aface/13058_2018_978_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dff/6033283/314579f98735/13058_2018_978_Fig5_HTML.jpg

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本文引用的文献

1
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Eur J Cancer. 2017 Oct;84:304-314. doi: 10.1016/j.ejca.2017.08.001. Epub 2017 Aug 29.
2
Response to Radiotherapy After Breast-Conserving Surgery in Different Breast Cancer Subtypes in the Swedish Breast Cancer Group 91 Radiotherapy Randomized Clinical Trial.在瑞典乳腺癌群组 91 项放疗随机临床试验中,不同乳腺癌亚型保乳手术后的放疗反应。
J Clin Oncol. 2017 Oct 1;35(28):3222-3229. doi: 10.1200/JCO.2017.72.7263. Epub 2017 Jul 31.
3
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 Focused Update.
Validation of a breast cancer assay for radiotherapy omission: an individual participant data meta-analysis.
一种用于省略放射治疗的乳腺癌检测方法的验证:个体参与者数据荟萃分析。
J Natl Cancer Inst. 2025 Mar 1;117(3):486-495. doi: 10.1093/jnci/djae262.
4
Evaluating the Radiation Sensitivity Index and 12-chemokine gene expression signature for clinical use in a CLIA laboratory.评估辐射敏感性指数和12种趋化因子基因表达特征以用于CLIA实验室的临床应用。
bioRxiv. 2024 Sep 22:2024.09.19.613957. doi: 10.1101/2024.09.19.613957.
5
Integrating radiosensitivity index and triple-negative breast cancer subtypes reveals SERPINB5 as a radioresistance biomarker in triple-negative breast cancer.整合放射敏感性指数和三阴性乳腺癌亚型显示,丝氨酸蛋白酶抑制剂B5(SERPINB5)是三阴性乳腺癌的放射抗性生物标志物。
Clin Transl Med. 2024 Aug;14(8):e1787. doi: 10.1002/ctm2.1787.
6
Clinical Biomarkers of Tumour Radiosensitivity and Predicting Benefit from Radiotherapy: A Systematic Review.肿瘤放射敏感性的临床生物标志物及预测放疗获益:一项系统评价
Cancers (Basel). 2024 May 20;16(10):1942. doi: 10.3390/cancers16101942.
7
Txnrd1 as a prognosticator for recurrence, metastasis and response to neoadjuvant chemotherapy and radiotherapy in breast cancer patients.硫氧还蛋白还原酶1作为乳腺癌患者复发、转移及对新辅助化疗和放疗反应的预后指标。
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8
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10
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J Clin Oncol. 2017 Aug 20;35(24):2838-2847. doi: 10.1200/JCO.2017.74.0472. Epub 2017 Jul 10.
4
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5
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6
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7
PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements.PANTHER 版本 11:来自基因本体论和 Reactome 通路的注释数据扩展,以及数据分析工具增强。
Nucleic Acids Res. 2017 Jan 4;45(D1):D183-D189. doi: 10.1093/nar/gkw1138. Epub 2016 Nov 29.
8
Breast cancer.乳腺癌。
Lancet. 2017 Mar 18;389(10074):1134-1150. doi: 10.1016/S0140-6736(16)31891-8. Epub 2016 Nov 17.
9
No breast cancer subgroup can be spared postoperative radiotherapy after breast-conserving surgery. Fifteen-year results from the Swedish Breast Cancer Group randomised trial, SweBCG 91 RT.保乳手术后,没有任何乳腺癌亚组可以免于术后放疗。瑞典乳腺癌组随机试验SweBCG 91 RT的15年结果。
Eur J Cancer. 2016 Nov;67:57-65. doi: 10.1016/j.ejca.2016.08.001. Epub 2016 Sep 7.
10
Centromere and kinetochore gene misexpression predicts cancer patient survival and response to radiotherapy and chemotherapy.着丝粒和动粒基因表达异常可预测癌症患者的生存和对放化疗的反应。
Nat Commun. 2016 Aug 31;7:12619. doi: 10.1038/ncomms12619.