Stathmin expression associates with vascular and immune responses in aggressive breast cancer subgroups.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 02 2020
Historique:
received: 18 10 2019
accepted: 31 01 2020
entrez: 21 2 2020
pubmed: 23 2 2020
medline: 13 11 2020
Statut: epublish

Résumé

Studies indicate that stathmin expression associates with PI3K activation in breast cancer, suggesting stathmin as a marker for targetable patient subgroups. Here we assessed stathmin in relation to tumour proliferation, vascular and immune responses, BRCA1 germline status, basal-like differentiation, clinico-pathologic features, and survival. Immunohistochemical staining was performed on breast cancers from two series (cohort 1, n = 187; cohort 2, n = 198), and mass spectrometry data from 24 cases and 12 breast cancer cell lines was examined for proteomic profiles. Open databases were also explored (TCGA, METABRIC, Oslo2 Landscape cohort, Cancer Cell Line Encyclopedia). High stathmin expression associated with tumour proliferation, p53 status, basal-like differentiation, BRCA1 genotype, and high-grade histology. These patterns were confirmed using mRNA data. Stathmin mRNA further associated with tumour angiogenesis, immune responses and reduced survival. By logistic regression, stathmin protein independently predicted a BRCA1 genotype (OR 10.0, p = 0.015) among ER negative tumours. Cell line analysis (Connectivity Map) implied PI3K inhibition in tumours with high stathmin. Altogether, our findings indicate that stathmin might be involved in the regulation of tumour angiogenesis and immune responses in breast cancer, in addition to tumour proliferation. Cell data point to potential effects of PI3K inhibition in tumours with high stathmin expression.

Identifiants

pubmed: 32076022
doi: 10.1038/s41598-020-59728-3
pii: 10.1038/s41598-020-59728-3
pmc: PMC7031232
doi:

Substances chimiques

BRCA1 Protein 0
BRCA1 protein, human 0
Phosphoinositide-3 Kinase Inhibitors 0
RNA, Messenger 0
Receptors, Estrogen 0
STMN1 protein, human 0
Stathmin 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2914

Références

Perou, C. M. et al. Molecular portraits of human breast tumours. Nat. 406, 747–752 (2000).
doi: 10.1038/35021093
Sorlie, T. et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc. Natl Acad. Sci. U S Am. 98, 10869–10874 (2001).
doi: 10.1073/pnas.191367098
Lehmann, B. D. et al. Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. J. Clin. Invest. 121, 2750–2767 (2011).
doi: 10.1172/JCI45014 pubmed: 21633166 pmcid: 21633166
Lehmann, B. D. et al. Refinement of Triple-Negative Breast Cancer Molecular Subtypes: Implications for Neoadjuvant Chemotherapy Selection. PLoS one 11, e0157368 (2016).
doi: 10.1371/journal.pone.0157368 pubmed: 27310713 pmcid: 27310713
Burstein, M. D. et al. Comprehensive genomic analysis identifies novel subtypes and targets of triple-negative breast cancer. Clin. Cancer Res. 21, 1688–1698 (2015).
doi: 10.1158/1078-0432.CCR-14-0432 pubmed: 25208879 pmcid: 25208879
Foulkes, W. D. et al. Germline BRCA1 mutations and a basal epithelial phenotype in breast cancer. J. Natl Cancer Inst. 95, 1482–1485 (2003).
doi: 10.1093/jnci/djg050 pubmed: 14519755 pmcid: 14519755
Belmont, L. D. & Mitchison, T. J. Identification of a protein that interacts with tubulin dimers and increases the catastrophe rate of microtubules. Cell 84, 623–631 (1996).
doi: 10.1016/S0092-8674(00)81037-5 pubmed: 8598048 pmcid: 8598048
Marklund, U., Larsson, N., Gradin, H. M., Brattsand, G. & Gullberg, M. Oncoprotein 18 is a phosphorylation-responsive regulator of microtubule dynamics. EMBO J. 15, 5290–5298 (1996).
doi: 10.1002/j.1460-2075.1996.tb00914.x pubmed: 8895574 pmcid: 8895574
Mistry, S. J. & Atweh, G. F. Stathmin inhibition enhances okadaic acid-induced mitotic arrest: a potential role for stathmin in mitotic exit. J. Biol. Chem. 276, 31209–31215 (2001).
doi: 10.1074/jbc.M011654200 pubmed: 11418586 pmcid: 11418586
Mistry, S. J. & Atweh, G. F. Role of stathmin in the regulation of the mitotic spindle: potential applications in cancer therapy. Mt. Sinai J. Med. 69, 299–304 (2002).
Rubin, C. I. & Atweh, G. F. The role of stathmin in the regulation of the cell cycle. J. Cell Biochem. 93, 242–250 (2004).
doi: 10.1002/jcb.20187
Belletti, B. & Baldassarre, G. Stathmin: a protein with many tasks. New biomarker and potential target in cancer. Expert. Opin. therapeutic targets 15, 1249–1266 (2011).
doi: 10.1517/14728222.2011.620951
Biaoxue, R., Xiguang, C., Hua, L. & Shuanying, Y. Stathmin-dependent molecular targeting therapy for malignant tumor: the latest 5 years’ discoveries and developments. J. Transl. Med. 14, 279 (2016).
doi: 10.1186/s12967-016-1000-z pubmed: 5037901 pmcid: 5037901
Segatto, I. et al. Stathmin Is Required for Normal Mouse Mammary Gland Development and Delta16HER2-Driven Tumorigenesis. Cancer Res. 79, 397–409 (2019).
doi: 10.1158/0008-5472.CAN-18-2488
Brattsand, G. Correlation of oncoprotein 18/stathmin expression in human breast cancer with established prognostic factors. Br. J. cancer 83, 311–318 (2000).
doi: 10.1054/bjoc.2000.1264 pubmed: 2374559 pmcid: 2374559
Curmi, P. A. et al. Overexpression of stathmin in breast carcinomas points out to highly proliferative tumours. Br. J. cancer 82, 142–150 (2000).
doi: 10.1054/bjoc.1999.0891 pubmed: 10638981 pmcid: 10638981
Obayashi, S. et al. Stathmin1 expression is associated with aggressive phenotypes and cancer stem cell marker expression in breast cancer patients. Int. J. Oncol. 51, 781–790 (2017).
doi: 10.3892/ijo.2017.4085 pubmed: 28766688 pmcid: 28766688
Saal, L. H. et al. Poor prognosis in carcinoma is associated with a gene expression signature of aberrant PTEN tumor suppressor pathway activity. Proc. Natl Acad. Sci. U S Am. 104, 7564–7569 (2007).
doi: 10.1073/pnas.0702507104
Golouh, R. et al. The prognostic value of Stathmin-1, S100A2, and SYK proteins in ER-positive primary breast cancer patients treated with adjuvant tamoxifen monotherapy: an immunohistochemical study. Breast cancer Res. Treat. 110, 317–326 (2008).
doi: 10.1007/s10549-007-9724-3 pubmed: 17874182 pmcid: 17874182
Baquero, M. T. et al. Stathmin expression and its relationship to microtubule-associated protein tau and outcome in breast cancer. Cancer 118, 4660–4669 (2012).
doi: 10.1002/cncr.27453 pubmed: 3391341 pmcid: 3391341
Rana, S., Maples, P. B., Senzer, N. & Nemunaitis, J. Stathmin 1: a novel therapeutic target for anticancer activity. Expert. Rev. Anticancer. Ther. 8, 1461–1470 (2008).
doi: 10.1586/14737140.8.9.1461
Alli, E., Bash-Babula, J., Yang, J. M. & Hait, W. N. Effect of stathmin on the sensitivity to antimicrotubule drugs in human breast cancer. Cancer Res. 62, 6864–6869 (2002).
Miceli, C., Tejada, A., Castaneda, A. & Mistry, S. J. Cell cycle inhibition therapy that targets stathmin in in vitro and in vivo models of breast cancer. Cancer gene Ther. 20, 298–307 (2013).
doi: 10.1038/cgt.2013.21
Meng, X. L. et al. Low expression of stathmin in tumor predicts high response to neoadjuvant chemotherapy with docetaxel-containing regimens in locally advanced breast cancer. Genet. Test. Mol. Biomarkers 16, 689–694 (2012).
doi: 10.1089/gtmb.2011.0298 pubmed: 3396004 pmcid: 3396004
Barretina, J. et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nat. 483, 603–607 (2012).
doi: 10.1038/nature11003
Lim, E. et al. Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers. Nat. Med. 15, 907–913 (2009).
doi: 10.1038/nm.2000
Kruger, K. et al. Expression of Nestin associates with BRCA1 mutations, a basal-like phenotype and aggressive breast cancer. Sci. Rep. 7, 1089 (2017).
doi: 10.1038/s41598-017-00862-w pubmed: 5430803 pmcid: 5430803
Mertins, P. et al. Proteogenomics connects somatic mutations to signalling in breast cancer. Nat. 534, 55–62 (2016).
doi: 10.1038/nature18003
Johansson, H. J. et al. Breast cancer quantitative proteome and proteogenomic landscape. Nat. Commun. 10, 1600 (2019).
doi: 10.1038/s41467-019-09018-y pubmed: 6453966 pmcid: 6453966
Paik, S. et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N. Engl. J. Med. 351, 2817–2826 (2004).
doi: 10.1056/NEJMoa041588 pubmed: 15591335 pmcid: 15591335
Venet, D., Dumont, J. E. & Detours, V. Most random gene expression signatures are significantly associated with breast cancer outcome. PLoS Comput. Biol. 7, e1002240 (2011).
doi: 10.1371/journal.pcbi.1002240 pubmed: 22028643 pmcid: 22028643
Stefansson, I. M. et al. Increased angiogenesis is associated with a 32-gene expression signature and 6p21 amplification in aggressive endometrial cancer. Oncotarget 6, 10634–10645 (2015).
doi: 10.18632/oncotarget.3521 pubmed: 25860936 pmcid: 25860936
Hu, Z. et al. A compact VEGF signature associated with distant metastases and poor outcomes. BMC Med. 7, 9 (2009).
doi: 10.1186/1741-7015-7-9 pubmed: 19291283 pmcid: 19291283
Eustace, A. et al. A 26-gene hypoxia signature predicts benefit from hypoxia-modifying therapy in laryngeal cancer but not bladder cancer. Clin. Cancer Res. 19, 4879–4888 (2013).
doi: 10.1158/1078-0432.CCR-13-0542 pubmed: 23820108 pmcid: 23820108
Halle, C. et al. Hypoxia-induced gene expression in chemoradioresistant cervical cancer revealed by dynamic contrast-enhanced MRI. Cancer Res. 72, 5285–5295 (2012).
doi: 10.1158/0008-5472.CAN-12-1085 pubmed: 22890239 pmcid: 22890239
Gyorffy, B. et al. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients. Breast cancer Res. Treat. 123, 725–731 (2010).
doi: 10.1007/s10549-009-0674-9 pubmed: 20020197 pmcid: 20020197
Lamb, J. et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Sci. 313, 1929–1935 (2006).
doi: 10.1126/science.1132939
Kuang, X. Y. et al. Stathmin and phospho-stathmin protein signature is associated with survival outcomes of breast cancer patients. Oncotarget 6, 22227–22238 (2015).
doi: 10.18632/oncotarget.4276 pubmed: 26087399 pmcid: 26087399
Bane, A. L. et al. Expression profiling of familial breast cancers demonstrates higher expression of FGFR2 in BRCA2-associated tumors. Breast cancer Res. Treat. 117, 183–191 (2009).
doi: 10.1007/s10549-008-0087-1 pubmed: 18563556 pmcid: 18563556
Leary, A. et al. Antiproliferative Effect of Lapatinib in HER2-Positive and HER2-Negative/HER3-High Breast Cancer: Results of the Presurgical Randomized MAPLE Trial (CRUK E/06/039). Clin. Cancer Res. 21, 2932–2940 (2015).
doi: 10.1158/1078-0432.CCR-14-1428 pubmed: 25398453 pmcid: 25398453
She, Q. B. et al. Integrated molecular pathway analysis informs a synergistic combination therapy targeting PTEN/PI3K and EGFR pathways for basal-like breast cancer. BMC cancer 16, 587 (2016).
doi: 10.1186/s12885-016-2609-2 pubmed: 27484095 pmcid: 27484095
Costa, R. L. B., Han, H. S. & Gradishar, W. J. Targeting the PI3K/AKT/mTOR pathway in triple-negative breast cancer: a review. Breast cancer Res. Treat. 169, 397–406 (2018).
doi: 10.1007/s10549-018-4697-y pubmed: 29417298 pmcid: 29417298
Qin, H. et al. The impact of PI3K inhibitors on breast cancer cell and its tumor microenvironment. PeerJ 6, e5092 (2018).
doi: 10.7717/peerj.5092 pubmed: 29942710 pmcid: 29942710
Andre, F. et al. Alpelisib for PIK3CA-Mutated, Hormone Receptor-Positive Advanced Breast Cancer. N. Engl. J. Med. 380, 1929–1940 (2019).
doi: 10.1056/NEJMoa1813904 pubmed: 31091374 pmcid: 31091374
Ibrahim, Y. H. et al. PI3K inhibition impairs BRCA1/2 expression and sensitizes BRCA-proficient triple-negative breast cancer to PARP inhibition. Cancer discovery 2, 1036–1047 (2012).
doi: 10.1158/2159-8290.CD-11-0348 pubmed: 22915752 pmcid: 22915752
Juvekar, A. et al. Combining a PI3K inhibitor with a PARP inhibitor provides an effective therapy for BRCA1-related breast cancer. Cancer discovery 2, 1048–1063 (2012).
doi: 10.1158/2159-8290.CD-11-0336 pubmed: 22915751 pmcid: 22915751
Matulonis, U. A. et al. Phase I dose escalation study of the PI3kinase pathway inhibitor BKM120 and the oral poly (ADP ribose) polymerase (PARP) inhibitor olaparib for the treatment of high-grade serous ovarian and breast cancer. Ann. oncology: Off. J. Eur. Soc. Med. Oncol. 28, 512–518 (2017).
doi: 10.1093/annonc/mdw672
Mao, Q. et al. Prognostic Role of High Stathmin 1 Expression in Patients with Solid Tumors: Evidence from a Meta-Analysis. Cell Physiol. Biochem. 50, 66–78 (2018).
doi: 10.1159/000493958 pubmed: 30278466 pmcid: 30278466
Miyan, M., Schmidt-Mende, J., Kiessling, R., Poschke, I. & de Boniface, J. Differential tumor infiltration by T-cells characterizes intrinsic molecular subtypes in breast cancer. J. Transl. Med. 14, 227 (2016).
doi: 10.1186/s12967-016-0983-9 pubmed: 27473163 pmcid: 27473163
Nalwoga, H. et al. Vascular proliferation is increased in basal-like breast cancer. Breast cancer Res. Treat. 130, 1063–1071 (2011).
doi: 10.1007/s10549-011-1740-7
Kruger, K. et al. Microvessel proliferation by co-expression of endothelial nestin and Ki-67 is associated with a basal-like phenotype and aggressive features in breast cancer. Breast 22, 282–288 (2013).
doi: 10.1016/j.breast.2012.07.008
Bujor, I. S. et al. Evaluation of Vascular Proliferation in Molecular Subtypes of Breast Cancer. Vivo 32, 79–83 (2018).
Tamura, K., Yoshie, M., Miyajima, E., Kano, M. & Tachikawa, E. Stathmin Regulates Hypoxia-Inducible Factor-1alpha Expression through the Mammalian Target of Rapamycin Pathway in Ovarian Clear Cell Adenocarcinoma. ISRN Pharmacol. 2013, 279593 (2013).
doi: 10.1155/2013/279593 pubmed: 3683482 pmcid: 3683482
Wu, H., Deng, W. W., Yang, L. L., Zhang, W. F. & Sun, Z. J. Expression and phosphorylation of Stathmin 1 indicate poor survival in head and neck squamous cell carcinoma and associate with immune suppression. Biomark Med. 12, 759–769 (2018).
doi: 10.2217/bmm-2017-0443
Collett, K. et al. A basal epithelial phenotype is more frequent in interval breast cancers compared with screen detected tumors. Cancer Epidemiol. Biomarkers Prev. 14, 1108–1112 (2005).
doi: 10.1158/1055-9965.EPI-04-0394
Collett, K. et al. Expression of enhancer of zeste homologue 2 is significantly associated with increased tumor cell proliferation and is a marker of aggressive breast cancer. Clin. Cancer Res. 12, 1168–1174 (2006).
doi: 10.1158/1078-0432.CCR-05-1533
Arnes, J. B., Collett, K. & Akslen, L. A. Independent prognostic value of the basal-like phenotype of breast cancer and associations with EGFR and candidate stem cell marker BMI-1. Histopathology 52, 370–380 (2008).
doi: 10.1111/j.1365-2559.2007.02957.x
Camp, R. L., Neumeister, V. & Rimm, D. L. A decade of tissue microarrays: progress in the discovery and validation of cancer biomarkers. J. Clin. oncology: Off. J. Am. Soc. Clin. Oncol. 26, 5630–5637 (2008).
doi: 10.1200/JCO.2008.17.3567
Cox, J. et al. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol. Cell. proteomics: MCP 13, 2513–2526 (2014).
doi: 10.1074/mcp.M113.031591
Tyanova, S. et al. The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat. Methods 13, 731–740 (2016).
doi: 10.1038/nmeth.3901
Comprehensive molecular portraits of human breast tumours. Nature 490, 61-70 (2012).
Curtis, C. et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nat. 486, 346–352 (2012).
doi: 10.1038/nature10983
Parker, J. S. et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J. Clin. oncology: Off. J. Am. Soc. Clin. Oncol. 27, 1160–1167 (2009).
doi: 10.1200/JCO.2008.18.1370
Tusher, V. G., Tibshirani, R. & Chu, G. Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natl Acad. Sci. United States of America 98, 5116–5121 (2001).
doi: 10.1073/pnas.091062498
Subramanian, A. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl Acad. Sci. United States of America 102, 15545–15550 (2005).
doi: 10.1073/pnas.0506580102

Auteurs

Cecilie Askeland (C)

Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway.
Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway.

Elisabeth Wik (E)

Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway.
Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway.

Kenneth Finne (K)

Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway.

Even Birkeland (E)

Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway.

Jarle B Arnes (JB)

Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway.

Karin Collett (K)

Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway.

Gøril Knutsvik (G)

Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway.

Kristi Krüger (K)

Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway.

Benedicte Davidsen (B)

Department of Surgery, Haukeland University Hospital, Bergen, N-5021, Norway.

Turid Aas (T)

Department of Surgery, Haukeland University Hospital, Bergen, N-5021, Norway.

Geir Egil Eide (GE)

Centre for Clinical Research, Haukeland University Hospital, Bergen, N-5021, Norway.
Department of Global Public Health and Primary Care, University of Bergen, Bergen, N-5021, Norway.

Ingunn M Stefansson (IM)

Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway.
Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway.

William D Foulkes (WD)

Department of Human Genetics, McGill University, 3640 University, Room W-315 D Montreal, Quebec, H3A 0C7, Canada.

Lars A Akslen (LA)

Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway. lars.akslen@uib.no.
Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway. lars.akslen@uib.no.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH