2017
Targeted proteomics driven verification of biomarker candidates associated with breast cancer aggressiveness
PROCHÁZKOVÁ, Iva, Juraj LENČO, Alena FUČÍKOVÁ, Jiří DRESLER, Lenka ČÁPKOVÁ et. al.Základní údaje
Originální název
Targeted proteomics driven verification of biomarker candidates associated with breast cancer aggressiveness
Autoři
PROCHÁZKOVÁ, Iva (203 Česká republika, domácí), Juraj LENČO (203 Česká republika), Alena FUČÍKOVÁ (203 Česká republika), Jiří DRESLER (203 Česká republika), Lenka ČÁPKOVÁ (203 Česká republika, domácí), Roman HRSTKA (203 Česká republika), Rudolf NENUTIL (203 Česká republika) a Pavel BOUCHAL (203 Česká republika, domácí)
Vydání
Biochimica et Biophysica Acta - Proteins and Proteomics, AMSTERDAM, Elsevier Science, 2017, 1570-9639
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10608 Biochemistry and molecular biology
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 2.609
Kód RIV
RIV/00216224:14310/17:00095604
Organizační jednotka
Přírodovědecká fakulta
UT WoS
000400714800004
Klíčová slova anglicky
Breast cancer; Selected reaction monitoring; mTRAQ; Estrogen receptor; Tumor grade; Lymph node
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 12. 4. 2018 10:48, Ing. Nicole Zrilić
Anotace
V originále
Breast cancer is the most common and molecularly relatively well characterized malignant disease in women, however, its progression to metastatic cancer remains lethal for 78% of patients 5 years after diagnosis. Novel markers could identify the high risk patients and their verification using quantitative methods is essential to overcome genetic, inter-tumor and intra-tumor variability and translate novel findings into cancer diagnosis and treatment. We recently identified 13 proteins associated with estrogen receptor, tumor grade and lymph node status, the key factors of breast cancer aggressiveness, using untargeted proteomics. Here we verified these findings in the same set of 96 tumors using targeted proteomics based on selected reaction monitoring with mTRAQ labeling (mTRAQ-SRM), transcriptomics and immunohistochemistry and validated in 5 independent sets of 715 patients using transcriptomics. We confirmed: (i) positive association of anterior gradient protein 2 homolog (AGR2) and periostin (POSTN) and negative association of annexin Al (ANXA1) with estrogen receptor status; (ii) positive association of stathmin (STMN1), cofilin-1 (COF1), plasminogen activator inhibitor 1 RNA-binding protein (PAIRBPI) and negative associations of thrombospondin-2 (TSP2) and POSTN levels with tumor grade; and (iii) positive association of POSTN, alpha-actinin-4 (ACTN4) and STMN1 with lymph node status. This study highlights a panel of gene products that can contribute to breast cancer aggressiveness and metastasis, the understanding of which is important for development of more precise breast cancer treatment (C) 2017 Elsevier B.V. All rights reserved.
Návaznosti
GA14-19250S, projekt VaV |
| ||
LM2015043, projekt VaV |
|