Abstract P3-05-15: TP53 mutation and nestin protein expression patterns affect the outcome of patients with triple negative breast cancer (TNBC)

Author(s):  
T Koletsa ◽  
E Razis ◽  
S Lakis ◽  
I Kostopoulos ◽  
M Bobos ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Anna E. M. Bastiaansen ◽  
A. Mieke Timmermans ◽  
Marcel Smid ◽  
Carolien H. M. van Deurzen ◽  
Esther S. P. Hulsenboom ◽  
...  

AbstractNew therapies are an urgent medical need in all breast cancer subgroups. Metabotropic glutamate receptor 1 (mGluR1) is suggested as a potential new molecular target. We examined the prevalence mGluR1 expression in different clinically relevant breast cancer subgroups and determined its association with prognosis. In this retrospective cohort, 394 consecutive primary breast cancer tissues were incorporated into a tissue microarray and immunohistochemically stained for mGluR1. The prevalence of mGluR1 protein expression in different breast cancer subgroups was evaluated and correlated with metastasis-free survival (MFS) and overall survival (OS). In total, 56% (n = 219) breast cancer tissues had mGluR1 expression. In estrogen receptor (ER)-negative tumors, 31% (n = 18/58) had mGluR1 expression that was significantly associated with MFS (HR 5.00, 95% CI 1.03–24.35, p = 0.046) in multivariate analysis, independently from other prognostic factors. Of the 44 triple-negative breast cancer (TNBC), 25% (n = 11) expressed mGluR1. mGluR1 expression in TNBC was significantly associated with shorter MFS (HR 8.60, 95% CI 1.06–20.39, p = 0.044) and with poor OS (HR 16.07, 95% CI 1.16–223.10, p = 0.039). In conclusion, mGluR1 is frequently expressed in breast cancer. In ER-negative breast cancer and in TNBC mGluR1 protein expression is an unfavorable prognostic marker. This study provides rationale to explore mGluR1 as a novel target for breast cancer treatment, especially for the more aggressive TNBC.


Epigenomics ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 1247-1268
Author(s):  
Yajie Zhao ◽  
Chunrui Pu ◽  
Dechuang Jiao ◽  
Jiujun Zhu ◽  
Xuhui Guo ◽  
...  

Aim: To develop an approach to characterize and classify triple-negative breast cancer (TNBC) tumors based upon their essential amino acid (EAA) metabolic activity. Methods: We performed bioinformatic analyses of genomic, transcriptomic and clinical data in an integrated cohort of 740 TNBC patients from public databases. Results: Based on EAA metabolism-related gene expression patterns, two TNBC subtypes were identified with distinct prognoses and genomic alterations. Patients exhibiting an upregulated EAA metabolism phenotype were more prone to chemoresistance but also expressed higher levels of immune checkpoint genes and may be better candidates for immune checkpoint inhibitor therapy. Conclusion: Metabolic classification based upon EAA profiles offers a novel biological insight into previously established TNBC subtypes and advances current understanding of TNBC’s metabolic heterogeneity.


2017 ◽  
Vol 67 (8) ◽  
pp. 404-413 ◽  
Author(s):  
Ayaka Katayama ◽  
Tadashi Handa ◽  
Kei Komatsu ◽  
Maria Togo ◽  
Jun Horiguchi ◽  
...  

PLoS ONE ◽  
2019 ◽  
Vol 14 (12) ◽  
pp. e0227068
Author(s):  
Fabiola Giudici ◽  
Elisabetta Petracci ◽  
Oriana Nanni ◽  
Cristina Bottin ◽  
Maurizio Pinamonti ◽  
...  

2012 ◽  
Vol 17 (6) ◽  
pp. 766-774 ◽  
Author(s):  
Chandra Bartholomeusz ◽  
Ana M. Gonzalez‐Angulo ◽  
Ping Liu ◽  
Naoki Hayashi ◽  
Ana Lluch ◽  
...  

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jaymin M. Patel ◽  
Andrew Goss ◽  
Judy E. Garber ◽  
Vanda Torous ◽  
Edward T. Richardson ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e102176 ◽  
Author(s):  
Sara Jansson ◽  
Pär-Ola Bendahl ◽  
Dorthe Aamand Grabau ◽  
Anna-Karin Falck ◽  
Mårten Fernö ◽  
...  

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