Caveolin Gene Expression Predicts Clinical Outcomes for Early-Stage HER2-Negative Breast Cancer Treated with Paclitaxel-Based Chemotherapy in the GeparSepto Trial

Author:

Williams Terence M.1ORCID,Schneeweiss Andreas2ORCID,Jackisch Christian3ORCID,Shen Changxian1ORCID,Weber Karsten E.4ORCID,Fasching Peter A.5ORCID,Denkert Carsten6ORCID,Furlanetto Jenny4ORCID,Heinmöller Ernst7ORCID,Schmatloch Sabine8ORCID,Karn Thomas9ORCID,Szeto Christopher W.10ORCID,van Mackelenbergh Marion T.11ORCID,Nekljudova Valentina4ORCID,Stickeler Elmar12ORCID,Soon-Shiong Patrick10ORCID,Schem Christian13ORCID,Mairinger Thomas14ORCID,Müller Volkmar15ORCID,Marme Frederik16ORCID,Untch Michael14ORCID,Loibl Sibylle417ORCID

Affiliation:

1. 1Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California.

2. 2Nationales Centrum für Tumorerkrankungen, Heidelberg, Germany.

3. 3Sana Klinikum Offenbach, Offenbach, Germany.

4. 4German Breast Group, Neu-Isenburg, Germany.

5. 5Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.

6. 6Institut für Pathologie Philipps-Universität Marburg, Marburg, Germany.

7. 7Pathologie Nordhessen, Kassel, Germany.

8. 8Elisabeth-Krankenhaus Kassel, Germany.

9. 9Department of Gynecology and Obstetrics, Goethe University Frankfurt, Frankfurt, Germany.

10. 10NantOmics, LLC, Culver City, California.

11. 11Universitätsklinikum Schleswig-Holstein, Kiel, Germany.

12. 12Uniklinik RWTH Achen, Aachen, Germany.

13. 13Mammazentrum Hamburg, Hamburg, Germany.

14. 14HELIOS Klinikum Berlin Buch, Berlin, Germany.

15. 15Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.

16. 16Universitätsfrauenklinik Mannheim, Mannheim, Germany.

17. 17Centre for Haematology and Oncology, Bethanien Frankfurt/M, Germany.

Abstract

Abstract Purpose: Caveolin-1 and -2 (CAV1/2) dysregulation are implicated in driving cancer progression and may predict response to nab-paclitaxel. We explored the prognostic and predictive potential of CAV1/2 expression for patients with early-stage HER2-negative breast cancer receiving neoadjuvant paclitaxel-based chemotherapy regimens, followed by epirubicin and cyclophosphamide. Experimental Design: We correlated tumor CAV1/2 RNA expression with pathologic complete response (pCR), disease-free survival (DFS), and overall survival (OS) in the GeparSepto trial, which randomized patients to neoadjuvant paclitaxel- versus nab-paclitaxel–based chemotherapy. Results: RNA sequencing data were available for 279 patients, of which 74 (26.5%) were hormone receptor (HR)–negative, thus triple-negative breast cancer (TNBC). Patients treated with nab-paclitaxel with high CAV1/2 had higher probability of obtaining a pCR [CAV1 OR, 4.92; 95% confidence interval (CI), 1.70–14.22; P = 0.003; CAV2 OR, 5.39; 95% CI, 1.76–16.47; P = 0.003] as compared with patients with high CAV1/2 treated with solvent-based paclitaxel (CAV1 OR, 0.33; 95% CI, 0.11–0.95; P = 0.040; CAV2 OR, 0.37; 95% CI, 0.12–1.13; P = 0.082). High CAV1 expression was significantly associated with worse DFS and OS in paclitaxel-treated patients (DFS HR, 2.29; 95% CI, 1.08–4.87; P = 0.030; OS HR, 4.97; 95% CI, 1.73–14.31; P = 0.003). High CAV2 was associated with worse DFS and OS in all patients (DFS HR, 2.12; 95% CI, 1.23–3.63; P = 0.006; OS HR, 2.51; 95% CI, 1.22–5.17; P = 0.013), in paclitaxel-treated patients (DFS HR, 2.47; 95% CI, 1.12–5.43; P = 0.025; OS HR, 4.24; 95% CI, 1.48–12.09; P = 0.007) and in patients with TNBC (DFS HR, 4.68; 95% CI, 1.48–14.85; P = 0.009; OS HR, 10.43; 95% CI, 1.22–89.28; P = 0.032). Conclusions: Our findings indicate high CAV1/2 expression is associated with worse DFS and OS in paclitaxel-treated patients. Conversely, in nab-paclitaxel–treated patients, high CAV1/2 expression is associated with increased pCR and no significant detriment to DFS or OS compared with low CAV1/2 expression.

Funder

National Institutes of Health

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

Reference50 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3