The Obesity-Related Metabolic Gene HSD17B8 Protects Against Breast Cancer: High RNA/Protein Expression Means a Better Prognosis

2021 ◽  
Vol 28 ◽  
Author(s):  
Yunmeng Nie ◽  
Fang Huang ◽  
Lihua Lou ◽  
Junbin Yan
2021 ◽  
Vol 9 (6) ◽  
pp. e002549
Author(s):  
Hiroyuki Katayama ◽  
Makoto Kobayashi ◽  
Ehsan Irajizad ◽  
Alejandro Sevillarno ◽  
Nikul Patel ◽  
...  

BackgroundCitrulline post-translational modification of proteins is mediated by protein arginine deiminase (PADI) family members and has been associated with autoimmune diseases. The role of PADI-citrullinome in immune response in cancer has not been evaluated. We hypothesized that PADI-mediated citrullinome is a source of neoantigens in cancer that induces immune response.MethodsProtein expression of PADI family members was evaluated in 196 cancer cell lines by means of indepth proteomic profiling. Gene expression was assessed using messenger RNA data sets from The Cancer Genome Atlas. Immunohistochemical analysis of PADI2 and peptidyl-citrulline was performed using breast cancer tissue sections. Citrullinated 12–34-mer peptides in the putative Major Histocompatibility Complex-II (MHC-II) binding range were profiled in breast cancer cell lines to investigate the relationship between protein citrullination and antigen presentation. We further evaluated immunoglobulin-bound citrullinome by mass spectrometry using 156 patients with breast cancer and 113 cancer-free controls.ResultsProteomic and gene expression analyses revealed PADI2 to be highly expressed in several cancer types including breast cancer. Immunohistochemical analysis of 422 breast tumor tissues revealed increased expression of PADI2 in ER− tumors (p<0.0001); PADI2 protein expression was positively correlated (p<0.0001) with peptidyl-citrulline staining. PADI2 expression exhibited strong positive correlations with a B cell immune signature and with MHC-II-bound citrullinated peptides. Increased circulating citrullinated antigen–antibody complexes occurred among newly diagnosed breast cancer cases relative to controls (p=0.0012).ConclusionsAn immune response associated with citrullinome is a rich source of neoantigens in breast cancer with a potential for diagnostic and therapeutic applications.


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.


2021 ◽  
Vol 22 (10) ◽  
pp. 5382
Author(s):  
Pei-Yi Chu ◽  
Hsing-Ju Wu ◽  
Shin-Mae Wang ◽  
Po-Ming Chen ◽  
Feng-Yao Tang ◽  
...  

(1) Background: methionine cycle is not only essential for cancer cell proliferation but is also critical for metabolic reprogramming, a cancer hallmark. Hepatic and extrahepatic tissues methionine adenosyltransferases (MATs) are products of two genes, MAT1A and MAT2A that catalyze the formation of S-adenosylmethionine (SAM), the principal biological methyl donor. Glycine N-methyltransferase (GNMT) further utilizes SAM for sarcosine formation, thus it regulates the ratio of SAM:S-adenosylhomocysteine (SAH). (2) Methods: by analyzing the TCGA/GTEx datasets available within GEPIA2, we discovered that breast cancer patients with higher MAT2A had worse survival rate (p = 0.0057). Protein expression pattern of MAT1AA, MAT2A and GNMT were investigated in the tissue microarray in our own cohort (n = 252) by immunohistochemistry. MAT2A C/N expression ratio and cell invasion activity were further investigated in a panel of breast cancer cell lines. (3) Results: GNMT and MAT1A were detected in the cytoplasm, whereas MAT2A showed both cytoplasmic and nuclear immunoreactivity. Neither GNMT nor MAT1A protein expression was associated with patient survival rate in our cohort. Kaplan–Meier survival curves showed that a higher cytoplasmic/nuclear (C/N) MAT2A protein expression ratio correlated with poor overall survival (5 year survival rate: 93.7% vs. 83.3%, C/N ratio ≥ 1.0 vs. C/N ratio < 1.0, log-rank p = 0.004). Accordingly, a MAT2A C/N expression ratio ≥ 1.0 was determined as an independent risk factor by Cox regression analysis (hazard ratio = 2.771, p = 0.018, n = 252). In vitro studies found that breast cancer cell lines with a higher MAT2A C/N ratio were more invasive. (4) Conclusions: the subcellular localization of MAT2A may affect its functions, and elevated MAT2A C/N ratio in breast cancer cells is associated with increased invasiveness. MAT2A C/N expression ratio determined by IHC staining could serve as a novel independent prognostic marker for breast cancer.


2020 ◽  
Author(s):  
S Ben Slama ◽  
D Bacha ◽  
A Ben Amor ◽  
A Halouani ◽  
A Lahmar

2004 ◽  
Vol 84 (3) ◽  
pp. 215-223 ◽  
Author(s):  
Christian Rudlowski ◽  
Nicolaus Friedrichs ◽  
Andree Faridi ◽  
Lazlo Füzesi ◽  
Roland Moll ◽  
...  

2016 ◽  
Vol 61 ◽  
pp. S183
Author(s):  
E. Shestakova ◽  
E. Dudko ◽  
A. Grishanina ◽  
V. Kirsanov ◽  
N. Vichljantzeva ◽  
...  

2012 ◽  
Vol 104 (23) ◽  
pp. 1815-1824 ◽  
Author(s):  
V. M. Neumeister ◽  
V. Anagnostou ◽  
S. Siddiqui ◽  
A. M. England ◽  
E. R. Zarrella ◽  
...  

2000 ◽  
Vol 82 (6) ◽  
pp. 1163-1170 ◽  
Author(s):  
T Y Kew ◽  
J A Bell ◽  
S E Pinder ◽  
H Denley ◽  
R Srinivasan ◽  
...  

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