Liquid Biopsy: A Biomarker-Driven Tool towards Precision Oncology

Small-Cell Lung Cancer: Is Liquid Biopsy a New Tool Able to Predict the Efficacy of Immunotherapy?

Small-cell lung cancer (SCLC) cases represent approximately 15% of all lung cancer cases, remaining a recalcitrant malignancy with poor survival and few treatment options. In the last few years, the addition of immunotherapy to chemotherapy improved clinical outcomes compared to chemotherapy alone, resulting in the current standard of care for SCLC. However, the advantage of immunotherapy only applies to a few SCLC patients, and predictive biomarkers selection are lacking for SCLC. In particular, due to some features of SCLC, such as high heterogeneity, elevated cell plasticity, and low-quality tissue samples, SCLC biopsies cannot be used as biomarkers. Therefore, the characterization of the tumor and, subsequently, the selection of an appropriate therapeutic combination may benefit greatly from liquid biopsy. Soluble factors, circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and extracellular vesicles (EVs) are now useful tools in the characterization of SCLC. This review summarizes the most recent data on biomarkers detectable with liquid biopsy, emphasizing their role in supporting tumor detection and their potential role in SCLC treatment choice.

Comparison of Nucleosome, Ferritin and LDH Levels in Blood with Clinical Response before and after Electrochemotherapy Combined with IL-12 Gene Electrotransfer for the Treatment of Mast Cell Tumours in Dogs

Electrochemotherapy (ECT) in combination with the gene electrotransfer of interleukin 12 (IL-12 GET) has been successfully used in veterinary medicine for the treatment of mast cell tumours (MCT), but the biomarkers that could predict response to this treatment have not yet been investigated. The aim of this study was to determine the plasma nucleosome and serum ferritin concentrations, as well as the lactate dehydrogenase (LDH) activity, in the serum of treated patients before and one and six months after treatment to evaluate their utility as potential biomarkers that could predict response to the combined treatment. The study was conducted in 48 patients with a total of 86 MCTs that we treated with the combined treatment. The blood samples used for analysing the potential predictive biomarkers were taken before treatment and one and six months after treatment, when the response to treatment was also assessed. The Nu. Q® Vet Cancer Test, the Canine Ferritin ELISA Kit, and the RX Daytona+ automated biochemical analyser were used to analyse the blood samples. The results showed that the plasma nucleosome concentration (before treatment (BT): 32.84 ng/mL (median); one month after treatment (1 M AT): 58.89 ng/mL (median); p = 0.010) and serum LDH activity (BT: 59.75 U/L (median); 1 M AT: 107.5 U/L (median); p = 0.012) increased significantly one month after treatment and that the increase correlated significantly with the presence of a more pronounced local reaction (necrosis, swelling, etc.) at that time point for both markers (nucleosome: BT (necrosis): 21.61 ng/mL (median); 1 M AT (necrosis): 69.92 ng/mL (median), p = 0.030; LDH: BT (necrosis): 54.75 U/L (median); 1 M AT (necrosis): 100.3 U/L (median), p = 0.048). Therefore, both the plasma nucleosome concentration and serum LDH activity could serve as early indicators of the effect of the treatment. In this context, the serum ferritin concentration showed no significant predictive potential for treatment response (p > 0.999 for all comparisons). In conclusion, this study provides some new and important observations on the use of predictive biomarkers in veterinary oncology. Furthermore, it emphasises the need for the continued identification and validation of potential predictive biomarkers in dogs with MCT and other malignancies undergoing ECT treatment in combination with IL-12 GET to ultimately improve treatment outcomes.

Cancer Relevance of Circulating Antibodies Against LINE-1 Antigens in Humans

Long interspersed nuclear element-1 (LINE-1 or L1), the most abundant family of autonomous retrotransposons occupying over 17% of human DNA, is epigenetically silenced in normal tissues by the mechanisms involving p53 but is frequently derepressed in cancer, suggesting that L1-encoded proteins may act as tumor-associated antigens recognized by the immune system. In this study, we established an immunoassay to detect circulating autoantibodies against L1 proteins in human blood. Using this assay in >2,800 individuals with or without cancer, we observed significantly higher IgG titers against L1-encoded ORF1p and ORF2p in patients with lung, pancreatic, ovarian, esophageal, and liver cancers than in healthy individuals. Remarkably, elevated levels of anti-ORF1p-reactive IgG were observed in patients with cancer with disease stages 1 and 2, indicating that the immune response to L1 antigens can occur in the early phases of carcinogenesis. We concluded that the antibody response against L1 antigens could contribute to the diagnosis and determination of immunoreactivity of tumors among cancer types that frequently escape early detection.

SIGNIFICANCE

The discovery of autoantibodies against antigens encoded by L1 retrotransposons in patients with five poorly curable cancer types has potential implications for the detection of an ongoing carcinogenic process and tumor immunoreactivity.

Extracellular Vesicles as Potential Biomarkers for Early Detection and Diagnosis of Pancreatic Cancer

Pancreatic carcinoma (PC) is highly metastatic, and it tends to be detected at advanced stages. Identifying and developing biomarkers for early detection of PC is crucial for a potentially curative treatment. Extracellular vesicles (EVs) are bilayer lipid membrane-structured nanovesicles found in various human bodily fluids, and they play important roles in tumor biogenesis and metastasis. Cancer-derived EVs are enriched with DNA, RNA, protein, and lipid, and they have emerged as attractive diagnostic biomarkers for early detection of PC. In this article, we provided an overview of the cell biology of EVs and their isolation and analysis, and their roles in cancer pathogenesis and progression. Multiplatform analyses of plasma-based exosomes for genomic DNA, micro RNA, mRNA, circular RNA, and protein for diagnosis of PC were critically reviewed. Numerous lines of evidence demonstrate that liquid biopsy with analysis of EV-based biomarkers has variable performance for diagnosis of PC. Future investigation is indicated to optimize the methodology for isolating and analyzing EVs and to identify the combination of EV-based biomarkers and other clinical datasets, with the goal of improving the predictive value, sensitivity, and specificity of screening tests for early detection and diagnosis of PC.