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BRAFV600E is the most frequent oncogenic mutation identified in papillary thyroid cancer (PTC). In PTC patients who do not respond to standard treatment, BRAF inhibitors are currently tested as alternative strategies. However, as observed for other targeted therapies, patients eventually develop drug resistance. The mechanisms of BRAF inhibitors response are still poorly understood in a thyroid cancer (TC) context. In this study, we investigated in BRAFV600E mutated TC cell lines the effects of Vemurafenib and Dabrafenib, two BRAF inhibitors currently used in a clinical setting. We assessed cell proliferation, and the expression and activity of the thyroid function related transporter NIS following the treatment with BRAF inhibitors. In addition, we investigated the global gene expression by microarray, the relevant modulated biological processes by gene set enrichment analysis (GSEA), and TC specific gene signatures related to MAPK pathway activation, thyroid differentiation, and transcriptional profile associated with BRAFV600E or RAS mutation. We found that both inhibitors induce antiproliferative and redifferentiative effects on TC cells, as well as a rewiring of the MAPK pathway related to RAS signaling. Our results suggest a possible mechanism of drug response to the BRAF inhibitors Vemurafenib or Dabrafenib, supporting very recent findings in TC patients treated with targeted therapies.

Simple Summary Since the beginning of the COVID-19 outbreak, Cancer Centers adopted specific procedures to protect patients as well as to monitor the possible spread of SARS-CoV-2 among healthcare personnel. In April 2020, we implemented a prospective longitudinal study aimed at monitoring the serological response to SARS-Cov-2 in the healthcare personnel of a Comprehensive Cancer Center identified by the Lombardy region (the Italian region most affected by the COVID-19 pandemic) as one of the three oncologic hubs where the Regional Health Authorities referred all the cancer patients in the region. We identified a fraction of healthcare personnel with long-term anti-SARS-CoV-2 antibody response, though negative for viral RNA, who could safely approach fragile cancer patients. Abstract Since the beginning of the COVID-19 outbreak, Cancer Centers adopted specific procedures both to protect patients and to monitor the possible spread of SARS-CoV-2 among healthcare personnel (HCP). In April 2020 at Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, one of the three oncologic hubs in Lombardy where the Health Regional Authorities referred all the cancer patients of the region, we implemented a prospective longitudinal study aimed at monitoring the serological response to SARS-Cov-2 in HCP. One hundred and ten HCP answered a questionnaire and were screened by nasopharyngeal swabs as well as for IgM/IgG levels; seropositive HCPs were further screened every 40–45 days using SARS-CoV-2-specific serology. We identified a fraction of HCP with long-term anti-SARS-CoV-2 antibody responses, though negative for viral RNA, and thus probably able to safely approach fragile cancer patients. Monitoring asymptomatic HCP might provide useful information to organize the healthcare service in a Cancer Center, while waiting for the effectiveness of the active immunization by SARS-CoV-2 vaccines, which will provide protection from infection.

Oropharynx squamous cell carcinoma (OPSCC) is a subtype of head and neck squamous cell carcinoma (HNSCC) arising from the base of the tongue, lingual tonsils, tonsils, oropharynx or pharynx. The majority of HPV-positive OPSCCs has a good prognosis, but a fraction of them has a poor prognosis, similar to HPV-negative OPSCCs. An in-depth understanding of the molecular mechanisms underlying OPSCC is mandatory for the identification of novel prognostic biomarkers and/or novel therapeutic targets. 14 HPV-positive and 15 HPV-negative OPSCCs with 5-year follow-up information were subjected to gene expression profiling and, subsequently, compared to three extensive published OPSCC cohorts to define robust biomarkers for HPV-negative lesions. Validation of Aldo-keto-reductases 1C3 (AKR1C3) by qRT-PCR was carried out on an independent cohort (n = 111) of OPSCC cases. In addition, OPSCC cell lines Fadu and Cal-27 were treated with Cisplatin and/or specific AKR1C3 inhibitors to assess their (combined) therapeutic effects. Gene set enrichment analysis (GSEA) on the four datasets revealed that the genes down-regulated in HPV-negative samples were mainly involved in immune system, whereas those up-regulated mainly in glutathione derivative biosynthetic and xenobiotic metabolic processes. A panel of 30 robust HPV-associated transcripts was identified, with AKR1C3 as top-overexpressed transcript in HPV-negative samples. AKR1C3 expression in 111 independent OPSCC cases positively correlated with a worse survival, both in the entire cohort and in HPV-positive samples. Pretreatment with a selective AKR1C3 inhibitor potentiated the effect of Cisplatin in OPSCC cells exhibiting higher basal AKR1C3 expression levels. We identified AKR1C3 as a potential prognostic biomarker in OPSCC and as a potential drug target whose inhibition can potentiate the effect of Cisplatin.

Distant metastases (DM) in head and neck squamous cell carcinoma (HNSCC) remain a challenge as treatment options are limited. To identify biomarkers predictive of DM in primary tumors (PT), gene expression profiling was performed in PT from patients who did, or did not develop DM (T-with and T-without, n = 25 and 24, respectively), and in matched DM. A total of 185 and 42 differentially expressed genes were identified in the T-with vs. T-without and the T-with vs. DM comparisons, respectively. The intersection between these two comparisons identified COX7A1 and TBX5 as common genes. In three independent datasets, both genes were able to significantly distinguish patients according to their DM-free survival. By functional biological analyses, the T-without group showed enrichment in immune-response pathways, whereas the T-with group showed an enrichment in B-plasma cells and Tregs. Increased enrichment of proliferation-related pathways was observed in the T-with group compared with that in the DM group. Further comparisons with/without DM are needed to confirm these data in order to improve clinical management of HNSCC.

Background Circulating microRNAs (cmiRNAs) are emerging as promising non-invasive biomarkers in cancer for their diagnostic, prognostic and predictive potential. Several platforms have been developed to determine the presence of miRNAs in biological fluids, including specific focus panels. In this pilot study, we aimed at comparing different platforms for detection of cmiRNAs against the same cohort of plasma samples alongside RT-qPCR and NGS technologies. Methods RNA was isolated from 24 plasma samples obtained from lung cancer patients (n = 12, including one replicate) and healthy heavy smokers (n = 12, including two replicates). Six different platforms were used to detect human cmiRNAs. Five of them were high-throughput technologies, three RT-qPCR-based (TaqMan OpenArray and TaqMan OpenArray Advanced MicroRNA Panels by ThermoFisher; miRCURY LNA miRNA miRNome PCR panel by Qiagen) and two NGS-based (EdgeSeq miRNA byHTG and QiaSeq miRNA by Qiagen). The sixth platform, RT-qPCR-based and serum/plasma focused, was TaqMan Advanced miRNA Human Card by ThermoFisher. Samples were handled according to manufacturer’s instructions and data from each platform were analyzed using specific recommended thresholds. Results Selecting cmiRNAs yielding signals above background, we highlighted a subset commonly detected by all platforms. Strong concordance and correlation coefficients (>0.8) between the three replicate samples were obtained in most platforms, from independent RNA extractions. For each sample, the number of cmiRNAs detected ranged from 90 to 140. We found that inter-platform correlations were highest for platforms based on similar chemistry and assay design. Between lung cancer patients and healthy donors, few deregulated miRNAs could be however commonly detected by all platforms and studies are ongoing to elucidate their role. Conclusions This study is one of the first comparing RT-qPCR, NGS-based high-throughput and serum/plasma focused platforms for human cmiRNA biomarker detection. Advantages and limits of all platforms and data on intra- and inter- reproducibility will be presented to help investigators in identifying technologies better suited for cmiRNAs screening or validation in clinical cohorts. Legal entity responsible for the study The authors. Funding Italian Association for Cancer Research (AIRC, Special Programme "5 X 1000", ED No12162) to GS and MS and by Italian Ministry of Health (funds obtained through an Italian law that allows tax-payers to allocate the “5 × 1000” share of their payments to research) to LDC. Disclosure All authors have declared no conflicts of interest.