Association of Serum Proteases and Acute Phase Factors Levels with Survival Outcomes in Patients with Colorectal Cancer

Author:

Sebzda Tadeusz1,Karwacki Jakub12ORCID,Cichoń Anna3,Modrzejewska Katarzyna4,Heimrath Jerzy5,Łątka Mirosław6,Gnus Jan7ORCID,Gburek Jakub8

Affiliation:

1. Department of Pathophysiology, Wroclaw Medical University, 50-368 Wroclaw, Poland

2. University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland

3. Regional Specialist Hospital of St. Barbara, 41-200 Sosnowiec, Poland

4. University Hospital in Wroclaw, 50-556 Wroclaw, Poland

5. Collegium Witelona, 59-220 Legnica, Poland

6. Department of Biomedical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland

7. Department of Physiotherapy, Wroclaw Medical University, 50-355 Wroclaw, Poland

8. Department of Pharmaceutical Biochemistry, Wroclaw Medical University, 50-556 Wroclaw, Poland

Abstract

Colorectal cancer (CRC) represents a substantial burden on global healthcare, contributing to significant morbidity and mortality worldwide. Despite advances in screening methodologies, its incidence remains high, necessitating continued efforts in early detection and treatment. Neoplastic invasion and metastasis are primary determinants of CRC lethality, emphasizing the urgency of understanding underlying mechanisms to develop effective therapeutic strategies. This study aimed to explore the potential of serum biomarkers in predicting survival outcomes in CRC patients, with a focus on cathepsin B (CB), leukocytic elastase (LE), total sialic acid (TSA), lipid-associated sialic acid (LASA), antitrypsin activity (ATA), C-reactive protein (CRP), and cystatin C (CC). We recruited 185 CRC patients and 35 healthy controls, assessing demographic variables, tumor characteristics, and 7 serum biomarker levels, including (1) CB, (2) LE, (3) TSA, (4) LASA, (5) ATA, (6) CRP, and (7) CC. Statistical analyses included ANOVA with Tukey’s post hoc tests and MANOVA for continuous variables. Student’s t-test was used for dependent samples, while non-parametric tests like Mann–Whitney U and Wilcoxon signed-rank tests were applied for variables deviating from the normal distribution. Categorical variables were assessed using chi-square and Kruskal-Wallis tests. Spearman’s rank correlation coefficient was utilized to examine variable correlations. Survival analysis employed the Kaplan–Meier method with a log-rank test for comparing survival times between groups. Significant associations were observed between CB (p = 0.04), LE (p = 0.01), and TSA (p = 0.008) levels and survival outcomes in CRC patients. Dukes’ classification stages also showed a significant correlation with survival (p = 0.001). However, no significant associations were found for LASA, ATA, CRP, and CC. Multivariate analysis of LE, TSA, and ATA demonstrated a notable correlation with survival (p = 0.041), notwithstanding ATA’s lack of significance in univariate analysis (p = 0.13). CB, LE, and TSA emerged as promising diagnostic markers with prognostic value in CRC, potentially aiding in early diagnosis and treatment planning. Further research is needed to validate these findings and explore additional prognostic indicators.

Publisher

MDPI AG

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