Background: Liquid biopsy based on cell-free DNA circulating in plasma has shown solid results as a non-invasive biomarker. In the present study we evaluated the utility of circulating free DNA (cfDNA) and the sub-type tumor DNA (ctDNA) in hepatocellular cancer (HCC) patients to assess therapy response and clinical outcome.Methods: A cohort of 13 patients recruited in the context of the SORAMIC trial with unresectable, advanced HCC and different etiological and clinicopathological characteristics was included in this exploratory study. Plasma samples were collected between liver micro-intervention and beginning of sorafenib-based systemic therapy and then in correspondence of three additional follow-ups. DNA was isolated from plasma and next generation sequencing (NGS) was performed on a panel of 597 selected cancer-relevant genes.Results: cfDNA levels showed a significant correlation with the presence of metastases and survival. In addition cfDNA kinetic over time revealed a trend with the clinical history of the patients, supporting its use as a biomarker to monitor therapy. NGS-based analysis on ctDNA identified 28 variants, detectable in different combinations at the different time points. Among the variants, HNF1A, BAX and CYP2B6 genes showed the highest mutation frequency and a significant association with the patients’ clinicopathological characteristics, suggesting a possible role as driver genes in this specific clinical setting.Conclusions: Taken together, the results support the prognostic value of cfDNA/ctDNA in advanced HCC patients with the potential to predict therapy response. These findings support the clinical utility of liquid biopsy in advanced HCC improving individualized therapy and possible earlier identification of treatment responders.

Purpose: SORAMIC is a randomized controlled trial in patients with advanced hepatocellular carcinoma (HCC) undergoing sorafenib ± selective internal radiation therapy (SIRT). We investigated the value of extracellular vesicle (EV)-based proteomics for treatment response prediction. Experimental Design: The analysis population comprised 25 patients receiving SIRT+sorafenib and 20 patients receiving sorafenib alone. Patients were classified as responders or nonresponders based on changes in AFP and imaging or overall survival. Proteomic analysis was performed on plasma EVs by LC/MS, followed by bioinformatics analysis. Clinical relevance of candidate EV proteins was validated by survival and receiver-operating characteristic analysis with bootstrap internal sampling validation. Origin of circulating EV was explored by IHC staining of liver and tumor tissues and transcriptomics of blood cells. Results: Proteomic analysis identified 56 and 27 EV proteins that were differentially expressed in plasma EVs between responders and nonresponders receiving SIRT+sorafenib and sorafenib alone, respectively. High EV-GPX3/ACTR3 and low EV-ARHGAP1 were identified as candidate biomarkers at baseline from the 13 responders to SIRT+sorafenib with statistically significant AUC = 1 for all and bootstrap P values 2.23 × 10−5, 2.22 × 10−5, and 2.23 × 10−5, respectively. These patients showed reduced abundance of EV-VPS13A and EV-KALRN 6 to 9 weeks after combined treatment with significant AUC and bootstrap P values. In reverse, low GPX3 and high ARHGAP1 demonstrated better response to sorafenib monotherapy with AUC = 0.9697 and 0.9192 as well as bootstrap P values 8.34 × 10−5 and 7.98 × 10−4, respectively. HCC tumor was the likely origin of circulating EVs. Conclusions: In this exploratory study, EV-based proteomics predicted response to SIRT+sorafenib and sorafenib-only treatment in patients with advanced HCC of metabolic origin.

MicroRNAs (miRNAs) are considered promising cancer biomarkers, showing high reliability, sensitivity and stability. Our study aimed to identify associations between whole blood miRNA profiles, presence of circulating tumor cells (CTCs) and clinical outcome in post-operative early breast cancer patients (EBC) to assess the utility of miRNAs as prognostic markers in this setting. A total of 48 post-operative patients, recruited in frame of the SUCCESS A trial, were included in this retrospective study and tested with a panel of 8 miRNAs (miR-10b, −19a, − 21, − 22, −20a, − 127, − 155, −200b). Additional 17 female healthy donors with no previous history of cancer were included in the study as negative controls. Blood samples were collected at different time points (pre-adjuvant therapy, post-adjuvant therapy, 2 years follow up), total RNA was extracted and the relative concentration of each miRNA was measured by quantitative PCR and compared in patients stratified on blood collection time or CTC detection. Furthermore, we compared miRNA profiles of patients, for each time point separately, and healthy donors. CTCs were visualized and quantified with immunocytochemistry analysis. Data were analyzed using non-parametric statistical tests. In our experimental system, miR-19a, miR-22 and miR-127 showed the most promising results, differentiating patients at different time points and from healthy controls, while miR-20a, miR-21 and miR-200b did not show any difference among the different groups. miR-10b and miR-155 were never detectable in our experimental system. With respect to patients’ clinical characteristics, we found a significant correlation between miR-200b and lymph node status and between miR-20a and tumor type. Furthermore, miR-127 correlated with the presence of CTCs. Finally, we found a borderline significance between Progression Free Survival and miR-19a levels. This pilot study suggests that profiling whole blood miRNAs could help to better stratify post-operative EBC patients without any sign of metastasis to prevent later relapse or metastatic events.

In clinical practice imaging technologies such as computed tomography (CT), positron emission tomography (PET)/CT and magnetic resonance imaging (MRI) are well-established methods for monitoring metastatic breast cancer (MBC) patients and for assessing therapeutic efficacy. However, several weeks of treatment are required before these technologies can offer any reliable information on effective disease regression, and, in the meanwhile, the patients are exposed to potentially unnecessary therapy. Circulating tumor cells (CTCs) have been shown to be powerful prognostic and predictive markers and provide clinicians with valuable information. However, in one clinical trial, an early change of chemotherapy based on CTC detection did not result in improved survival. Currently, CTC detection outside clinical trials should be limited to selected clinical situations, i.e. increased treatment toxicity or as risk estimation.

During intravasation, circulating tumor cells (CTCs) detach from the epithelium of origin and begin the epithelial-to-mesenchymal transition (EMT) process, where they lose epithelial features and pass through the endothelium to enter circulation. Although detachment from the extracellular matrix is a strong source of metabolic stress, which induces anoikis, CTCs can survive. Recently, the tumor suppressor liver kinase B1 (LKB1) has gained attention for its role as a proto-oncogene in restoring the correct ATP/AMP ratio during metabolic stress. The aim of this study was to assess LKB1 expression in epithelial-negative CTCs isolated from patients with metastatic breast cancer and to characterize its possible association with EMT and stemness features. Transcriptome analysis of EpCAM-negative CTCs indicated that over 25% of patients showed enhanced LKB1 levels, while almost 20% of patients showed enhanced levels of an EMT transcription factor known as ZEB1. Transcriptome and immunofluorescence analyses showed that patients with enhanced LKB1 were correspondingly ZEB1 negative, suggesting complementary activity for the two proteins. Only ZEB1 was significantly associated with cancer stem cell (CSC) markers. Neither LKB1 nor ZEB1 upregulation showed a correlation with clinical outcome, while enhanced levels of stemness-associated CD44 correlated with a lower progression-free and overall survival. Ex vivo models showed that MDA-MB-231, a mesenchymal tumor cell line, grew in suspension only if LKB1 was upregulated, but the MCF-7 epithelial cell line lost its ability to generate spheroids and colonies when LKB1 was inhibited, supporting the idea that LKB1 might be necessary for CTCs to overcome the absence of the extracellular matrix during the early phases of intravasation. If these preliminary results are confirmed, LKB1 will become a novel therapeutic target for eradicating metastasis-initiating CTCs from patients with primary breast cancer.