» Articles » PMID: 25903579

Combined Proteomics and Transcriptomics Identifies Carboxypeptidase B1 and Nuclear Factor κB (NF-κB) Associated Proteins As Putative Biomarkers of Metastasis in Low Grade Breast Cancer

Abstract

Current prognostic factors are insufficient for precise risk-discrimination in breast cancer patients with low grade breast tumors, which, in disagreement with theoretical prognosis, occasionally form early lymph node metastasis. To identify markers for this group of patients, we employed iTRAQ-2DLC-MS/MS proteomics to 24 lymph node positive and 24 lymph node negative grade 1 luminal A primary breast tumors. Another group of 48 high-grade tumors (luminal B, triple negative, Her-2 subtypes) was also analyzed to investigate marker specificity for grade 1 luminal A tumors. From the total of 4405 proteins identified (FDR < 5%), the top 65 differentially expressed together with 30 previously identified and control markers were analyzed also at transcript level. Increased levels of carboxypeptidase B1 (CPB1), PDZ and LIM domain protein 2 (PDLIM2), and ring finger protein 25 (RNF25) were associated specifically with lymph node positive grade 1 tumors, whereas stathmin 1 (STMN1) and thymosin beta 10 (TMSB10) associated with aggressive tumor phenotype also in high grade tumors at both protein and transcript level. For CPB1, these differences were also observed by immunohistochemical analysis on tissue microarrays. Up-regulation of putative biomarkers in lymph node positive (versus negative) luminal A tumors was validated by gene expression analysis of an independent published data set (n = 343) for CPB1 (p = 0.00155), PDLIM2 (p = 0.02027) and RELA (p = 0.00015). Moreover, statistically significant connections with patient survival were identified in another public data set (n = 1678). Our findings indicate unique pro-metastatic mechanisms in grade 1 tumors that can include up-regulation of CPB1, activation of NF-κB pathway and changes in cell survival and cytoskeleton. These putative biomarkers have potential to identify the specific minor subpopulation of breast cancer patients with low grade tumors who are at higher than expected risk of recurrence and who would benefit from more intensive follow-up and may require more personalized therapy.

Citing Articles

Genetic analysis of PALB2 gene WD40 domain in canine mammary tumour patients.

Cildir O, Ozmen O, Kul S, Risvanli A, Ozalp G, Sabuncu A Vet Med Sci. 2024; 10(3):e1366.

PMID: 38527110 PMC: 10962921. DOI: 10.1002/vms3.1366.


Unraveling Biomarker Signatures in Triple-Negative Breast Cancer: A Systematic Review for Targeted Approaches.

Pastena P, Perera H, Martinino A, Kartsonis W, Giovinazzo F Int J Mol Sci. 2024; 25(5).

PMID: 38473804 PMC: 10931553. DOI: 10.3390/ijms25052559.


Identification of Niche-Specific Gene Signatures between Malignant Tumor Microenvironments by Integrating Single Cell and Spatial Transcriptomics Data.

Saqib J, Park B, Jin Y, Seo J, Mo J, Kim J Genes (Basel). 2023; 14(11).

PMID: 38002976 PMC: 10671538. DOI: 10.3390/genes14112033.


Diagnostic and Prognostic Value of CPZ in Patients with Gastric Cancer by Integrated Analysis.

Lu S, Yang W, Liu Y, Peng L, Ma F, Zhang Z J Gastrointest Surg. 2023; 27(6):1253-1255.

PMID: 36897519 DOI: 10.1007/s11605-023-05648-2.


Identification of Auxiliary Biomarkers and Description of the Immune Microenvironmental Characteristics in Duchenne Muscular Dystrophy by Bioinformatical Analysis and Experiment.

Han X, Han J, Wang N, Ji G, Guo R, Li J Front Neurosci. 2022; 16:891670.

PMID: 35720684 PMC: 9204148. DOI: 10.3389/fnins.2022.891670.


References
1.
Stephens R, Brunner N, Janicke F, Schmitt M . The urokinase plasminogen activator system as a target for prognostic studies in breast cancer. Breast Cancer Res Treat. 1999; 52(1-3):99-111. DOI: 10.1023/a:1006115218786. View

2.
Tuck A, OMalley F, Singhal H, Harris J, Tonkin K, Kerkvliet N . Osteopontin expression in a group of lymph node negative breast cancer patients. Int J Cancer. 1998; 79(5):502-8. DOI: 10.1002/(sici)1097-0215(19981023)79:5<502::aid-ijc10>3.0.co;2-3. View

3.
Scigelova M, Hornshaw M, Giannakopulos A, Makarov A . Fourier transform mass spectrometry. Mol Cell Proteomics. 2011; 10(7):M111.009431. PMC: 3134075. DOI: 10.1074/mcp.M111.009431. View

4.
Rana S, Maples P, Senzer N, Nemunaitis J . Stathmin 1: a novel therapeutic target for anticancer activity. Expert Rev Anticancer Ther. 2008; 8(9):1461-70. DOI: 10.1586/14737140.8.9.1461. View

5.
J van t Veer L, Dai H, van de Vijver M, He Y, Hart A, Mao M . Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002; 415(6871):530-6. DOI: 10.1038/415530a. View