Hepatocellular carcinoma (HCC) is among the leading causes of cancer-related death. Despite the advances in diagnosis and management of HCC, the biology of this tumor remains poorly understood. Recent evidence highlighted long non-coding RNAs (lncRNAs) as crucial determinants of HCC development. In this study, we report the lncRNA HOTTIP as significantly up-regulated in HCC specimens. HOTTIP gene is located in physical contiguity with HOXA13 and directly controls the HOXA locus gene expression via interaction with the WDR5 / MLL complex. HOX genes encode transcription factors regulating embryonic development and cell fate. We previously described HOX genes deregulation to be involved in hepatocarcinogenesis. Indeed, we observed the marked up-regulation of HOXA13 in HCC. Here, by correlating clinico-pathological and expression data, we demonstrate that the levels of HOTTIP and HOXA13 are associated with HCC patients’ clinical progression and predict disease outcome. In contrast to the majority of similar studies, our data are obtained from snap-frozen needle HCC biopsies (n=52) matched with their non-neoplastic counterparts collected from patients that had not yet received any HCC-tailored therapeutic treatments at the time of biopsy. In addition, taking advantage of gain and loss of function experiments in liver cancer-derived cell lines (HuH-6 and HuH-7), we uncover a novel bidirectional regulatory loop between HOTTIP / HOXA13. Conclusion: our study highlights the key role of HOTTIP and HOXA13 in HCC development by associating their expression to metastasis and survival in HCC patients, provides novel insights on the function of lncRNA-driven hepatocarcinogenesis and paves the way for further investigation about the possible role of HOTTIP as predictive biomarker of HCC.

SummaryHepatocellular carcinoma (HCC) is the most common primary liver cancer and the second most frequent cause of cancer-related mortality worldwide. The multikinase inhibitor sorafenib is the only treatment option for advanced HCC. Due to tumor heterogeneity, its efficacy greatly varies between patients and is limited due to adverse effects and drug resistance. Current in vitro models fail to recapitulate key features of HCCs. We report the generation of long-term organoid cultures from tumor needle biopsies of HCC patients with various etiologies and tumor stages. HCC organoids retain the morphology as well as the expression pattern of HCC tumor markers and preserve the genetic heterogeneity of the originating tumors. In a proof-of-principle study, we show that liver cancer organoids can be used to test sensitivity to sorafenib. In conclusion, organoid models can be derived from needle biopsies of liver cancers and provide a tool for developing tailored therapies.