Apolipoprotein A1 as a novel urinary biomarker for diagnosis of bladder cancer: A systematic review and meta-analysis

Novel Urinary Biomarkers for the Detection of Bladder Cancer

Bladder cancer (BCa) is a highly recurrent malignancy that requires sensitive and noninvasive diagnostic and predictive markers. Conventional diagnostic tools, such as cystoscopy and urine cytology, are far from ideal in terms of sensitivity, specificity, and patient compliance. In this narrative review, the development of novel urinary markers for the diagnosis of BCa is highlighted, with a focus on their application in the clinical arena, detection accuracy, and future potential. An extensive analysis of new urinary biomarkers, including proteinuria-based tests, DNA methylation biomarkers, and RNA-based molecular panels, has been conducted. Various molecular tests, such as Cxbladder®, Bladder EpiCheck®, and UroSEEK, are highly sensitive and clinically valid. Urinary biomarkers provide a promising noninvasive alternative for traditional BCa diagnostics with enhanced specificity and the possibility of early diagnosis. Future research should focus on large-scale clinical validation and standardization of biomarkers to facilitate their use in routine clinical practice.

Mapping the initial effects of carcinogen-induced oncogenic transformation in the mouse bladder

Characterizing the initial stages of oncogenic transformation allows the identification of tumor-promoting processes before the inherent clonal selection of the aggressive clones. Here, we used global proteomics, genetic cell tracing, and immunofluorescence to dynamically map the very early stages of cancer initiation in a mouse model of bladder cancer. We observed a very rapid and incremental proteome dysregulation, with changes in the energy metabolism, proliferation and immune signatures dominating the landscape. The changes in the lipid metabolism were immediate and defined by an increase fatty acid metabolism and lipid transport, followed by the activation of the immune landscape. Alongside the changes in the immune signature and lipid metabolism, we also mapped a clear increase in the cell cycle-related pathways and proliferation. Proliferation was mainly restricted to the basal epithelial layer rapidly leading to urothelium thickening, despite the progressive loss of the superficial layer. Moreover, we observed a tilt in the energy balance towards increased glucose metabolism, probably characterizing cells of the tumor microenvironment. All of the observed proteome signature changes were persistent, being retained and sometimes intensified or diversified along the timeline. The signatures observed in this pilot suggest these processes as potentially targetable drivers of the future neoplastic transformations in the bladder.

Expanding frontiers in liquid biopsy-discovery and validation of circulating biomarkers in renal cell carcinoma and bladder cancer

Renal cell carcinoma (RCC) and Bladder cancer (BC) are two lethal urological cancers that require diagnosis at their earliest stage causing decreasing survival rates in case of aggressive disease. However, there is no reliable circulating marker in blood or urine for their less or non-invasive diagnosis. Our objective was to review the potential circulating biomarkers, namely proteins, micro-RNA (miRNA), long non-coding RNA (lncRNA), and circulating tumour cells (CTCs) for which we performed a PubMed-based literature search of biomolecules (protein, miRNA, lncRNA and CTCs) found as circulating biomarkers in blood and urine for the early detection of RCC and BC. Among the numerous studies, certain biomolecules represent promising early-stage biomarkers such as proteins (NNMT, LCP1, and NM23A; KIM1), mi-RNAs (5-panel: miR-193a-3p, miR-362, miR-572, miR-378, and miR-28-5p; miR-200a) and lncRNAs (5-panel: LET, PVT1, PANDAR, PTENP1 and linc00963; GIHCG) for RCC. Similarly, proteins (APOA1), miRNAs (7-panel: miR-7-5p, miR-22-3p, miR-29a-3p, miR-126-5p, miR- 200a-3p, miR-375, and miR-423-5p; miRNA 181a, miRNA 30c, and miRNA 570) and lncRNAs (3-panel: MALAT1, MEG3, and SNHG16; exosomal derived 3-panel: PCAT-1, UBC1 and SNHG16; H19) were reported in BC subjects. Notably, the majority of the biomarkers presented for early detection in RCC cases were found in blood, while in urine for BC. Our results reveal that though a plethora of circulating biomarkers show early diagnostic ability, all of them are still bench-only biomarkers and require further validation. Adequate clinical trials/studies testing which of these potential markers individually or in combination, will become clinically applicable still remain elusive.

Association of apolipoproteins and lipoprotein(a) with metabolic syndrome: a systematic review and meta-analysis

BACKGROUND & AIMS

Apolipoproteins and lipoprotein(a) are associated with various cardiometabolic diseases, including insulin resistance, diabetes mellitus, hypertension, dyslipidemia, among others. This systematic review and meta-analysis was conducted to evaluate the association of these markers with metabolic syndrome (MetS).

METHODS

We ran a systematic search through PubMed, Scopus, Embase, Ovid/Medline, and Web of Science on March 15, 2023. No language or date restrictions were applied. The only synthesised effect measure reported was the odds ratio (OR) with its corresponding 95% confidence interval (95% CI). We utilised the random-effects model for the quantitative synthesis.

RESULTS

We analysed 50 studies (n = 150 519) with different definitions for MetS. Increased ApoB values were associated with MetS (OR = 2.8; 95% CI: 2.44-3.22; p < 0.01, I² = 99%). Decreased ApoA1 values were associated with MetS (OR = 0.42; 95% CI: 0.38-0.47; p < 0.01, I² = 99%). Increased values of the ApoB/ApoA1 ratio were associated with MetS (OR = 4.97; 95% CI: 3.83-6.44; p < 0.01, I² = 97%). Decreased values of Lp(a) were associated with MetS (OR = 0.89; 95% CI: 0.82-0.96; p < 0.01; I² = 92%).

CONCLUSIONS

Increased values of ApoB and ApoB/ApoA1 ratio are associated with MetS, while decreased values of ApoA1 and Lp(a) are associated with MetS. These findings suggest that these lipid markers may serve as potential indicators for identifying subjects at risk of developing MetS. However, further research is required to elucidate the underlying mechanisms of these associations.

Prognostic value of apolipoproteins in COVID-19 patients: A systematic review and meta-analysis

INTRODUCTION

Apolipoproteins are predictive biomarkers for cardiovascular, neoplasms and cerebrovascular diseases and are postulated as prognostic biomarkers in infectious diseases, as COVID-19. Thus, we assessed the prognosis value of apolipoproteins for COVID-19 severity and mortality.

METHODS

We conducted a systematic review and meta-analysis using observational studies that reported the association between apolipoproteins and severity or mortality in COVID-19 patients. Newcastle-Ottawa was used for the quality assessment of included studies. Effects measurements were shown as odds ratios (ORs) with 95% confidence intervals (CIs), and Egger-test was developed for assessing the risk of bias publication.

RESULTS

We analyzed 12 cohort studies (n = 3580). Patients with low ApoliproteinA1 (ApoA1) (OR 0.35; 95%CI 0.24 to 0.49; P < 0.001) and ApoliproteinB (ApoB) (OR = 0.78; 95%CI 0.69 to 0.87; P < 0.001) values had a higher risk of developing severe disease. ApoB/ApoA1 ratio showed no statistically significant association with higher odds of severity. Low ApoA1 levels were associated with higher odds of all-cause mortality (OR = 0.34; 95%CI 0.20 to 0.57; P < 0.001). ApoB values showed no statistically significant association with a high risk of all-cause mortality.

CONCLUSION

We suggest that adequate levels of ApoA1 and ApoB can be a protective factor for severity in COVID-19, and ApoB/ApoA1 ratio did not show predictive utility for severity.