Drug repositioning strategy represents a valid tool to accelerate the pharmacological development through the identification of new applications for already existing compounds. In this view, we aimed at discovering molecules able to trigger telomere-localized DNA damage and tumor cell death. By applying an automated high-content spinning-disk microscopy, we performed a screening aimed at identifying, on a library of 527 drugs, molecules able to negatively affect the expression of TRF2, a key protein in telomere maintenance. FK866, resulting from the screening as the best candidate hit, was then validated at biochemical and molecular levels and the mechanism underlying its activity in telomere deprotection was elucidated both in vitro and in vivo. The results of this study allow us to discover a novel role of FK866 in promoting, through the production of reactive oxygen species, telomere loss and deprotection, two events leading to an accumulation of DNA damage and tumor cell death. The ability of FK866 to induce telomere damage and apoptosis was also demonstrated in advanced preclinical models evidencing the antitumoral activity of FK866 in triple-negative breast cancer-a particularly aggressive breast cancer subtype still orphan of targeted therapies and characterized by high expression levels of both NAMPT and TRF2. Overall, our findings pave the way to the development of novel anticancer strategies to counteract triple-negative breast cancer, based on the use of telomere deprotecting agents, including NAMPT inhibitors, that would rapidly progress from bench to bedside.

Supplementary Figure 2 from Loss of Rad51c Leads to Embryonic Lethality and Modulation of Trp53-Dependent Tumorigenesis in Mice

Supplementary Figure 3 from Degradation of BRCA2 in Alkyltransferase-Mediated DNA Repair and Its Clinical Implications

Intraoperative differentiation of tumorous from non-tumorous tissue can help in the assessment of resection margins in breast cancer and its response to therapy and, potentially, reduce the incidence of tumor recurrence. In this study, the calculation of the attenuation coefficient and its color-coded 2D distribution was performed for different breast cancer subtypes using spectral-domain CP OCT. A total of 68 freshly excised human breast specimens containing tumorous and surrounding non-tumorous tissues after BCS was studied. Immediately after obtaining structural 3D CP OCT images, en face color-coded attenuation coefficient maps were built in co-(Att(co)) and cross-(Att(cross)) polarization channels using a depth-resolved approach to calculating the values in each A-scan. We determined spatially localized signal attenuation in both channels and reported ranges of attenuation coefficients to five selected breast tissue regions (adipose tissue, non-tumorous fibrous connective tissue, hyalinized tumor stroma, low-density tumor cells in the fibrotic tumor stroma and high-density clusters of tumor cells). The Att(cross) coefficient exhibited a stronger gain contrast of studied tissues compared to the Att(co) coefficient (i.e., conventional attenuation coefficient) and, therefore, allowed improved differentiation of all breast tissue types. It has been shown that color-coded attenuation coefficient maps may be used to detect inter- and intra-tumor heterogeneity of various breast cancer subtypes as well as to assess the effectiveness of therapy. For the first time, the optimal threshold values of the attenuation coefficients to differentiate tumorous from non-tumorous breast tissues were determined. Diagnostic testing values for Att(cross) coefficient were higher for differentiation of tumor cell areas and tumor stroma from non-tumorous fibrous connective tissue: diagnostic accuracy was 91–99%, sensitivity—96–98%, and specificity—87–99%. Att(co) coefficient is more suitable for the differentiation of tumor cell areas from adipose tissue: diagnostic accuracy was 83%, sensitivity—84%, and specificity—84%. Therefore, the present study provides a new diagnostic approach to the differentiation of breast cancer tissue types based on the assessment of the attenuation coefficient from real-time CP OCT data and has the potential to be used for further rapid and accurate intraoperative assessment of the resection margins during BCS.

ABSTRACT Positive transcription elongation factor b (P-TEFb) is the crucial player in RNA polymerase II (Pol II) pause release that has emerged as a promising target in cancer. Because single-agent therapy may fail to deliver durable clinical response, targeting of P-TEFb shall benefit when deployed as a combination therapy. We screened a comprehensive oncology library and identified clinically relevant antimetabolites and Mouse double minute 2 homolog (MDM2) inhibitors as top compounds eliciting p53-dependent death of colorectal cancer cells in synergy with selective inhibitors of P-TEFb. While the targeting of P-TEFb augments apoptosis by antimetabolite 5-fluorouracil, it switches the fate of cancer cells by the non-genotoxic MDM2 inhibitor Nutlin-3a from cell-cycle arrest to apoptosis. Mechanistically, the fate switching is enabled by the induction of p53-dependent pro-apoptotic genes and repression of P-TEFb-dependent pro-survival genes of the PI3K-AKT signaling cascade, which stimulates Caspase 9 and intrinsic apoptosis pathway in BAX/BAK-dependent manner. Finally, combination treatments trigger apoptosis of cancer cell spheroids. Together, co-targeting of P-TEFb and suppressors of intrinsic apoptosis could become a viable strategy to eliminate cancer cells.

Supplementary Information from Degradation of BRCA2 in Alkyltransferase-Mediated DNA Repair and Its Clinical Implications

The objects of the present study are nanoparticles (NPs) based on a copolymer of lactic and glycolic acids (PLGA), loaded with the anticancer drug doxorubicin (DOX-NP) and histone deacetylase inhibitor vorinostat (SAHA-NP) and developed for breast cancer treatment [...]

Conventional chemotherapeutic agents are nonselective, often resulting in severe side effects and the development of resistance. Therefore, new molecular-targeted therapies are urgently needed to be integrated into existing treatment regimens. Here, we performed a high-throughput compound screen to identify a synergistic interaction between ionizing radiation and 396 anticancer compounds. The assay was run using five human papillomavirus (HPV)-negative head and neck squamous cell carcinoma (HNSCC) cell lines cultured on the human tumor-derived matrix Myogel . Our screen identified several compounds with strong synergistic and antagonistic effects, which we further investigated using multiple irradiation doses. Navitoclax, which emerged as the most promising radiosensitizer, exhibited synergy with irradiation regardless of the p53 mutation status in all 13 HNSCC cell lines. We performed a live cell apoptosis assay for two representative HNSCC cell lines to examine the effects of navitoclax and irradiation. As a single agent, navitoclax reduced proliferation and induced apoptosis in a dose-dependent manner, whereas the navitoclax–irradiation combination arrested cell cycle progression and resulted in substantially elevated apoptosis. Overall, we demonstrated that combining navitoclax with irradiation resulted in synergistic in vitro antitumor effects in HNSCC cell lines, possibly indicating the therapeutic potential for HNSCC patients.

The aim of this study was to evaluate the application of attenuation coefficients calculated from the cross-polarization optical coherence tomography (CP OCT) data for differentiation of breast cancer from non-tumorous breast tissues. For this purpose, surgically obtained breast specimens from 45 patients were examined using CP OCT in order to construct color-coded en-face OCT maps based on calculation of three optical coefficients (the commonly used rate of attenuation in the co- polarization channel; and, additionally, the attenuation in the cross- polarization channel; and the interchannel attenuation difference). It was shown that the use of these optical coefficients significantly increased the amount of obtained information from the OCT data in comparison with unprocessed images, enabling objective quantification for differentiating non-tumorous and tumorous tissue (adipose tissue, normal stroma, tumor stroma and agglomerates of tumor cells). The attenuation in the cross- polarization channel and the interchannel attenuation difference provided greater contrast for the visualization of the different breast cancer structures compared to the attenuation coefficient in the co- polarization channel. The findings of this study suggest that assessment of CP OCT images of breast cancer based on optical coefficients calculation may in perspective enable real-time feedback about accurate resection margin in patient with breast cancer to the surgeon.

Objectives. - The goal of this study was to develop sample preparation method and validate the HPLC method for precise determination of paclitaxel (Ptx) in PLGA submicron particles conjugated with protein vector molecule. Methods. - Ptx loaded PLGA submicron particles were formulated by a single emulsification method. PLGA submicron particles were conjugated with alpha fetoprotein third domain (rAFP3d) via standard carbodiimide technique. The obtained conjugate was analyzed using 1525 binary pump and 2487 UV-VIS detector system (Waters, USA) and Reprosil ODS C-18 analytical column with the dimensions of 150 mm x 4.6 mm ID x 5 mu m (Dr. Maisch GmbH, Germany). Sample preparation method was developed utilizing guard cartridge with C18 stationary phase(Phenomenex, USA). HPLC method was validated according to the international conference on harmonization guidelines. Results. - Efficient sample preparation was achieved using 4% of DMSO pre-dissolution, following by 10 min of centrifugation at 4500 g. Ptx determination was performed using acetonitrile/0.1% phosphoric acid (50:50 v/v) mobile phase at a flow rate of 1.0 mL/min, injection volume of 10 mu L, and at 227 nm. The developed method showed linearity, accuracy and precision in the range from 0.03 to 360 mu g/mL, with LOD and LOQ values of 0.005 and 0.03 mu g/mL, respectively. The intra- and inter-day precisions presented RSD values of lower than 2%. Conclusion. - The validated method was successfully applied to calculate Ptx encapsulation efficacy and drug loading in the developed formulation. (C) 2021 Academie Nationale de Pharmacie. Published by Elsevier Masson SAS. All rights reserved.

A multimodal optical coherence tomography (MM OCT) combining microstructural cross-polarization (CP) imaging and compression OCT-elastography (OCE) was employed in this study. The research was carried out on the non-invasive and invasive subtypes of human breast cancer. This study demonstrates how CP OCT combined with OCT-elastography identifies an example of DCIS cancer that progresses into invasive breast cancer. OCE images more clearly show the cross sections of the ducts filled with tumor cells for DCIS (high-contrast structures with clear boundaries and high stiffness values) surrounded by areas with lower stiffness corresponding to fibrous stroma regions. The regions of invasive breast cancer in OCE-scans look as zones with strongly increased stiffness, which well agrees with the histology. Percentage of pixels with different characteristic stiffness ("stiffness spectrum") in the OCT-elastography images was assessed to quantitatively visualize stiffness of tumor. The demonstrated ability of MM OCT imaging for breast cancer subtypes differentiation and breast cancer margin assessment is important for improved managements of patients.

Optical coherence tomography (OCT) is a promising tool for intraoperative tissue morphology determination. Several studies suggest that the attenuation coefficient, derived from the OCT images can differentiate between normal and tumorous tissues, as well as between gray and white brain matter. The methods used for attenuation coefficient derivation in these studies follow the assumption that the optical properties of the specimen are uniform within the OCT imaging depth range. Although this approximation is appropriate for the brain tissue, it is still quite restrictive. In the present study depth-resolved method for attenuation coefficient calculation was adopted for the real-world situation of the depth-dependent OCT sensitivity and additive imaging noise and applied to the imaging of the cadaveric brain. It was shown that the application of the less restrictive method for the attenuation calculation may reveal additional brain structures in the same dataset, as well as provide a statistically significant difference for the white matter attenuation coefficient in the different brain areas.

The study aimed to create a machine learning method for differentiating diagnostically valued tumorous tissue from diagnostically “non-valued” non-tumorous tissues in the human brain, using cross-polarization optical coherence tomography (CP OCT) in order to provide guidance for stereotactic biopsies. A method of feature extraction from OCT data in two orthogonal polarization channels has been proposed and a classification algorithm for the resulting feature vectors has been created. If used for stereotactic biopsy guidance, the proposed approach could decrease the number of excised diagnostically non-valued samples and minimize the invasiveness of the procedure and the risk of excessive bleeding.

Introduction/Purpose:Cancer therapy is increasingly moving towards individualized care and therapy, but there are still gaps between what is known and described on the molecular level about cancers and what is applied in the clinic. In an attempt to bridge the knowledge gap, we at the Institute for Molecular Medicine Finland (FIMM) have set up an Individualized Systems Medicine program that integrates clinical information, molecular profiling and functional information about individual patients’ cancers (Pemovska et al, Cancer Discov, 2013). Central to this program is the Drug Sensitivity and Resistance Testing (DSRT) where we functionally profile the responses of primary cancer cells to a comprehensive clinical oncology and signal transduction inhibitor drug collection of 528 compounds.Methods:Acoustic dispensing platforms are integral to the success of this profiling activity. We have to date produced approximately 3000 drug sets as dose response assay ready plates. The acoustic dispensing allows for making pre-drugged single drug plate sets and/or drug combination plates within hours after sampling of the cells. The plates are also readily sent to researchers anywhere in the world for running comparable assays at other sites. The drugging reproducibility is excellent generating results with correlations of 0.98 or higher in replicate assays. We have developed in-house software solutions to aid these processes: a script for quick creation of transfer list for combination plates and automated analysis pipelines with web-based software interfaces to enable the screening biologists to analyze the screening results effectively.Results:The results of these assays are used to explore and understand cancer biology in terms of druggability, functional heterogeneity and mechanism of drug response and resistance. The profiling data can be used to stratify and position the relevance of specific drugs in different diseases and has been used to identify novel clinically relevant activities of existing and investigational drugs (see e.g. Pemovska et al, Nature, 2015). This information is further utilized to establish hypotheses on drug combinations selectively targeting individual cancers and their predictive biomarkers, which can be explored in the clinic by our clinical collaborators to guide the treatment of the individual patient.Conclusions:In summary, we describe our platform for a functional drug sensitivity testing within our individualized cancer systems medicine program, which generates consistent biological and clinically relevant data.Citation Format: Sergey G. Kuznetsov, Alexander Ianevski, Evgeny Kulessky, Karoliina Laamanen, Elina Lehtinen, Maria Nurmi, Swapnil Potdar, Jani Saarela, Katja Suomi, Laura Turunen, Krister Wennerberg, Päivi Tammela. Ex vivo drug sensitivity testing of primary cells for precision cancer medicine [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2153.

The main purpose of this work is to evaluate the possibility to distinguish in vivo benign papilloma, severe dysplasia and squamous cell carcinoma by establishing quantitative image characteristics of multiphoton tomography (MPT) and multimodal optical coherence tomography images (MM OCT). Specific features of papillomatous outgrowths at different stages were revealed using 7,12-dimethylbenz[a]anthracen (DMBA)-induced hamster oral carcinoma. Analysis of MPT images included assessment of nuclear-cytoplasmic (NC) ratio, nuclear density and heterogeneity parameter F. Cross-polarization OCT images were quantified via the integral depolarization factor (IDF). Analysis of OCT microvascular maps enabled differential analysis based on the number of smallest-diameter blood vessels present in a particular pathology. Both MPT and MM OCT metrics showed some difference between benign papilloma, dysplastic papilloma, and squamous cell carcinoma tissue states. The results suggested that combined use of MPT and MM OCT have great potential for in vivo differentiation between benign and malignant papillomas.

The objective of the study is the quantitative analysis of the dose-time dependences of changes occurring in collagen of bladder and rectum after gamma-irradiation using optical methods [nonlinear microscopy in a second harmonic generation (SHG) detection regime and cross-polarization optical coherence tomography (CP OCT)]. For quantitative assessment of the collagen structure, regions of interest on the SHG-images of two-dimensional (2-D) distribution of SHG signal intensity of collagen were chosen in the submucosa. The mean SHG signal intensity and its standard deviation were calculated by ImageJ 1.39p (NIH). For quantitative analysis of CP OCT data, an integral depolarization factor (IDF) was calculated. Quantitative calculation of the SHG signal intensity and the IDF can provide additional information about the processes of the collagen radiation-induced degradation and subsequent remodeling. High positive correlation between the mean SHG signal intensity and the mean IDF of bladder and rectum demonstrates that CP OCT can be used as an "optical biopsy" in the grading of collagen radiation damage.

A novel machine‐learning method to distinguish between tumor and normal tissue in optical coherence tomography (OCT) has been developed. Pre‐clinical murine ear model implanted with mouse colon carcinoma CT‐26 was used. Structural‐image‐based feature sets were defined for each pixel and machine learning classifiers were trained using “ground truth” OCT images manually segmented by comparison with histology. The accuracy of the OCT tumor segmentation method was then quantified by comparing with fluorescence imaging of tumors expressing genetically encoded fluorescent protein KillerRed that clearly delineates tumor borders. Because the resultant 3D tumor/normal structural maps are inherently co‐registered with OCT derived maps of tissue microvasculature, the latter can be color coded as belonging to either tumor or normal tissue. Applications to radiomics‐based multimodal OCT analysis are envisioned.