Biology subjects

Biankin, A.

Publications and source records attributed to Biankin, A..

5 recordsLinked to original sources

bioRxiv2022

Transcriptomic dissection of Intraepithelial Papillary Mucinous Neoplasms progression by spatial technologies identified novel markers of pancreatic carcinogenesis.

Intraductal papillary mucinous neoplasms (IPMN) are one of the main precursor lesions of Pancreatic Ductal Adenocarcinoma (PDAC). The number of patients diagnosed with IPMN is constantly increasing. While in most of the cases IPMN present as indolent and nonmalignant entities, some degenerate into PDAC. The main mechanisms behind the IPMN progression to malignancy is still not fully understood. This is mainly due to the technological limit of the analyzes and to cysts heterogeneity whose malignant transformation potential is estimated based on size and degree of dysplasia without take in consideration the transformation time and therefore the real malignancy potential. Moreover, there is a general lack of consensus diagnostic markers to discern the Low-grade nonmalignant from High-grade malignant IPMN. In this study, we used two different Spatial Transcriptomic technologies (Visium, and GeoMx) to investigate the transcriptome of Low-grade dysplasia nonmalignant IPMN, Borderline IPMN, and High-grade dysplasia malignant IPMN to dissect the main mechanism that drives carcingenesis and to find specific markers associated to risk of tumor progression. We performed Visium spatial transcriptomics on two TMAs containing three Low-grade dysplasia nonmalignant IPMN, one Borderline IPMN, two High-grade dysplasia malignant IPMN, and two PDAC. We identified three specific epithelial cell clusters that characterize Low-grade dysplasia IPMN, Borderline IPMN, and High-grade dysplasia malignant IPMN and three transcription factors whose expression is associated with each grade. High-grade malignant IPMN were characterized by high expression levels of NKX6-2 and other markers of gastric isthmus cell lineage such as MUC5AC, PSCA, FERIL6. The SPDEF high IPMN cluster was found in Borderline IPMN and spotted in some regions of High-grade malignant IPMN. This cluster was characterized by high expression levels of SPDEF and other goblet cell lineage markers such as TFF2, AQP5, and MUC6. Low-grade nonmalignant IPMN were characterized by high expression levels of HOXB3, HOXB5, ZNF117. The association of these markers with the different grades was validated by GeoMx spatial transcriptomics on 43 additional IPMN samples divided according to their grade of dysplasia and malignancy. To better understand the transcriptomic changes along IPMN progression we performed spatial trajectory inference and we found that SPDEF high IPMN cluster cells are likely to evolve into NKX6-2 high malignant IPMN, and we found that this switch is characterized by the expression of NKX6-2 and other gastric markers. Taken together, the results presented here not only shed more light in to IPMN and PDAC oncogenesis, but also provided a plethora of novel malignancy-associated markers to be tested in diagnostic routine, to better delineate IPMN progression in patients and improve clinical management.

cancer biology↗

bioRxiv2022

Spatially Resolved Transcriptomics Deconvolutes Histological Prognostic Subgroups in Patients with Colorectal Cancer and Synchronous Liver Metastases

BackgroundPatients demonstrating strong immune responses to primary colorectal cancer (CRC) have a survival benefit following surgery, while those with predominantly stromal microenvironments do poorly. Biomarkers to identify patients with colorectal cancer liver metastases (CRLM) who have good prognosis following surgery for oligometastatic disease remain elusive. The aim of this study was to determine the practical application of a simple histological assessment of immune cell infiltration and stromal content in predicting outcome following synchronous resection of primary CRC and CRLM, and to interrogate the underlying functional biology that drives disease progression. MethodsPatients undergoing synchronous resection of primary CRC and CRLM underwent detailed histological assessment, panel genomic and bulk transcriptomic assessment, immunohistochemistry (IHC) and GeoMx Spatial Transcriptomics (ST) analysis. Integration with genomic features, pathway enrichment analysis and immune deconvolution were performed. ResultsHigh-immune metastases were associated with improved cancer specific survival (HR, 0.36, P=0.01). Bulk transcriptomic analysis was confounded by stromal content but ST demonstrated that the invasive edge of the metastases of long-term survivors was characterized by adaptive immune cell populations enriched for Type II Interferon signalling (NES=-2.05 P.Adj<0.005) and MHC-Class II Antigen Presentation (NES=-2.09 P.Adj<0.005). In contrast, patients with poor prognosis demonstrated increased abundance of regulatory T-cells and neutrophils with enrichment of Notch (NES=2.2 P.Adj=0.022) and TGF-{beta} (NES=2.2 P.Adj=0.02) signalling pathways at the metastatic tumor centre. ConclusionsHistological assessment stratifies outcome in patients undergoing synchronous resection of CRLM. ST analysis reveals significant intra-tumoral and inter-lesional heterogeneity with underlying transcriptomic programmes identified in driving each phenotype. TRANSLATIONAL RELEVANCEThe current study demonstrates that accurate histological assessment of immune cell infiltration and stromal content can define survival in patients following resection of oligometastatic liver disease when presenting synchronously with primary colorectal cancer. A spatial transcriptomic approach has demonstrated heterogeneity between patients, between matched lesions in the same patient and within individual lesions. Patients with high immune infiltrates at the invasive margin demonstrated lymphocytic infiltration and associated upregulated adaptive immune pathways in long term survivors. In specimens with low immune infiltrate at the tumor edge a significant reduction in survival was observed, this was determined by upregulated immunosuppressive pathways and a predominance of innate immune cells surrounding metastases. Spatial transcriptomics can be used to examine drivers of metastatic progression in CRC and identifies patients with reactive and suppressed immune microenvironments. Application across a larger cohort will build the cartography of CRLM, while in future, studies may assess application of this technology to pre and post treatment biopsy samples with the aim of predicting individual therapeutic responses. The current study has highlighted discrepancies between bulk and ST derived data whilst demonstrating accuracy of deconvoluted transcriptome to determine immune profiling. Now that ST strategies are becoming more achievable at scale, this has implications for the interpretation of the bulk transcriptomic signatures both of primary and metastatic CRC.

cancer biology↗

bioRxiv2020

Ovarian carcinosarcoma genomics and pre-clinical models highlight the N-MYC pathway as a key driver and susceptibility to EMT-targeting therapy

Ovarian carcinosarcoma (OCS) is an aggressive and rare tumour type with limited treatment options. OCS is hypothesised to develop via the combination theory from a single progenitor, resulting in carcinomatous and sarcomatous components, or alternatively via the conversion theory, with the sarcomatous component developing from the carcinomatous component through epithelial-to-mesenchymal transition (EMT). We show OCS from 18 women to be monoclonal through analysis of DNA variants from isolated carcinoma and sarcoma components. RNA sequencing indicated the carcinoma components were more mesenchymal when compared with pure ovarian carcinomas, supporting the conversion theory. We used pre-clinical OCS models to test the efficacy of microtubule-targeting drugs, including eribulin, which has been shown to reverse EMT characteristics. We demonstrated that microtubule inhibitors, vinorelbine and eribulin, were more effective than standard-of-care platinum-based chemotherapy. Eribulin reduced mesenchymal characteristics, N-MYC expression and cholesterol biosynthesis. Finally, eribulin induced a strong immune response, supporting immunotherapy combinations in the clinic.

cancer biology↗

bioRxiv2019

An unbiased high-throughput drug screen reveals a potential therapeutic vulnerability in the most lethal molecular subtype of pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is predicted to become the second leading cause of cancer-related deaths in the United States by 2020, due in part to innate resistance to widely used chemotherapeutic agents and limited knowledge about key molecular factors that drive tumor aggression. We previously reported a novel negative prognostic biomarker, keratin 17 (K17), whose overexpression in cancer results in shortened patient survival. In this study, we aimed to determine the predictive value of K17 and explore the therapeutic vulnerability in K17-expressing PDAC, using an unbiased high-throughput drug screen. Patient-derived data analysis showed that K17 expression correlates with resistance to Gemcitabine (Gem). In multiple in vitro models of PDAC, spanning human and murine PDAC cells, we determined that the expression of K17 results in a more than two-fold increase in resistance to Gem and 5-fluorouracil, key components of current standard-of-care chemotherapeutic regimens. Furthermore, through an unbiased drug screen, we discovered that Podophyllotoxin (PPT), a microtubule inhibitor, showed at least two-fold higher sensitivity in K17-expressing compared to K17-negative PDAC cells. In the clinic, another microtubule inhibitor, Paclitaxel (PTX), is used in combination with Gem as a first line chemotherapeutic regimen for pancreatic, breast, lung, and ovarian cancer. Surprisingly, we found that when combined with Gem, PPT but not PTX, was synergistic in inhibiting the viability of K17-expressing PDAC cells. This provides evidence that PPT or its derivatives could potentially be combined with Gem to enhance treatment efficacy for the approximately 50% of PDACs that express high levels of K17. In summary, we reported that K17 is a novel target for developing a biomarker-based personalized treatment for PDAC.

cancer biology↗

bioRxiv2018

Macrophage Released Pyrimidines Inhibit Gemcitabine Therapy in Pancreatic Cancer

Pancreatic Ductal Adenocarcinoma (PDA) is characterized by abundant infiltration of tumor associated macrophages (TAMs). TAMs have been reported to drive resistance to gemcitabine, the front-line chemotherapy in PDA, though the mechanism of this resistance remains unclear. Profiling metabolite exchange, we demonstrate macrophages programmed by PDA cells release a spectrum of pyrimidine species. These include deoxycytidine, which inhibits gemcitabine through molecular competition at the level of drug uptake and metabolism. Accordingly, genetic or pharmacological depletion of TAMs in murine models of PDA sensitizes these tumors to gemcitabine. Consistent with this, patients with low macrophage burden demonstrate superior response to gemcitabine treatment. Additionally, we report pyrimidine release is a general function of anti-inflammatory myeloid cells, suggesting an unknown physiological role of pyrimidine exchange by immune cells.

cancer biology↗