» Articles » PMID: 31938151

Plasma CAMK2A Predicts Chemotherapy Resistance in Metastatic Triple Negative Breast Cancer

Overview
Specialty Pathology
Date 2020 Jan 16
PMID 31938151
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Chemotherapy resistance is a great obstacle in effective treatment for metastatic triple negative breast cancer (TNBC). The ability to predict chemotherapy response would allow chemotherapy administration to be directed toward only those patients who would benefit, thus maximizing treatment efficiency. Differentially expressed plasma proteins may serve as putative biomarkers for predicting chemotherapy outcomes.

Patients And Methods: In this study, 26 plasma samples (10 samples with partial response (S) and 16 samples with progression disease (R)) from patients with metastatic TNBC were measured by Tandem Mass Tag (TMT)-based proteomics analysis to identify differentially expressed proteins between the S and R group. Potential proteinswere validated with enzyme-linked immunosorbent assay (ELISA) in another 67 plasma samples.

Results: A total of 320 plasma proteins were identified, and statistical analysis showed that 108 proteins were significantly dysregulated between R and S groups in the screening stage. Bioinformatics revealed relevant pathways and regulatory networks of the differentially expressed proteins. Three differentially expressed proteins were validated by ELISA with 67 samples from TNBC patients. The R group had significantly higher plasma CAMK2A level than the S group (=0.0074). The ROC curve analysis showed an AUC of 0.708, with sensitivity 48.4% and specificity 86.1%. In multivariate logistic regression analysis, the level of plasma CAMK2A was also significant for chemotherapeutic response (=0.009, OR=0.152). Furthermore, the patients with higher CAMK2A level had shorter OS than those with lower CAMK2A level, which amounted to 13.9 and 28.9 months, respectively (=0.034). In the multivariate Cox regression analysis, CAMK2A level still had significant effect on OS (=0.031, HR=1.865).

Conclusion: TMT-based proteomic analysis was able to identify potential biomarkers in plasma that predicted chemotherapy resistance in the metastatic TNBC. The plasma of CAMK2A level may serve as apotential predictive and prognostic biomarker for chemotherapy in metastatic TNBC.

Citing Articles

Breast cancer in the era of integrating "Omics" approaches.

Rossi C, Cicalini I, Cufaro M, Consalvo A, Upadhyaya P, Sala G Oncogenesis. 2022; 11(1):17.

PMID: 35422484 PMC: 9010455. DOI: 10.1038/s41389-022-00393-8.


Prognostic Gene Signature for Squamous Cell Carcinoma with a Higher Risk for Treatment Failure and Accelerated MEK-ERK Pathway Activity.

Feng B, Wang K, Herpel E, Plath M, Weichert W, Freier K Cancers (Basel). 2021; 13(20).

PMID: 34680330 PMC: 8534038. DOI: 10.3390/cancers13205182.


The dysregulated expression and functional effect of CaMK2 in cancer.

He Q, Li Z Cancer Cell Int. 2021; 21(1):326.

PMID: 34193145 PMC: 8243487. DOI: 10.1186/s12935-021-02030-7.

References
1.
Tzivion G, Gupta V, Kaplun L, Balan V . 14-3-3 proteins as potential oncogenes. Semin Cancer Biol. 2006; 16(3):203-13. DOI: 10.1016/j.semcancer.2006.03.004. View

2.
Chien J, Kuang R, Landen C, Shridhar V . Platinum-sensitive recurrence in ovarian cancer: the role of tumor microenvironment. Front Oncol. 2013; 3:251. PMC: 3781360. DOI: 10.3389/fonc.2013.00251. View

3.
Aebersold R, Mann M . Mass spectrometry-based proteomics. Nature. 2003; 422(6928):198-207. DOI: 10.1038/nature01511. View

4.
Ducibella T, Schultz R, Ozil J . Role of calcium signals in early development. Semin Cell Dev Biol. 2006; 17(2):324-32. DOI: 10.1016/j.semcdb.2006.02.010. View

5.
Nairn A, Picciotto M . Calcium/calmodulin-dependent protein kinases. Semin Cancer Biol. 1994; 5(4):295-303. View