Fascin Inhibitor NP-G2-044 Decreases Cell Metastasis and Increases Overall Survival of Mice-Bearing Lung Cancers.

AIM: Fascin is an actin-binding protein that promotes tumor metastasis. The inhibition of fascin on the progress of non-small cell lung cancer (NSCLC) is not very clear. Hence, this study explored the potential effect of NP-G2-044, a novel fascin inhibitor, in human NSCLC lines and the Lewis lung cancer (LCC) mice model. METHODS: The growth of cells was analyzed via CCK-8 assays, and the flow cytometry was adopted for cell cycle and apoptosis analysis, as well as the migration and invasion of NSCLC cells with or without NP-G2-044. The therapy of NP-G2-044, which synergizes with cisplatin and PD-1, was evaluated in the established xenograft Lewis's lung cancer of mice. RESULTS: Fascin was overexpressed in human NSCLC cells, and inhibition of fascin by NP-G2-044 attenuated NSCLC cell growth and remarkably undermined the ability of migration and invasion in vitro, which was related to the reduced epithelialmesenchymal transition (EMT) including downregulation of N-cadherin and vimentin, and upregulation of E-cadherin. Further results implied that the above changes may be partially mediated by the Wnt/ß-catenin pathway. In vivo, NP-G2-044 slowed down tumor development and enhanced overall survival alone, leading to synergistic anticancer effects with cisplatin or PD-1 inhibitor. CONCLUSION: Fascin inhibition could inhibit the metastasis of NSCLC and has the potential to enhance the efficacy of cisplatin and PD-1 inhibitors by blocking the Wnt/ß- catenin pathway.

Identification of long-chain acyl-CoA synthetase gene family reveals that SlLACS1 is essential for cuticular wax biosynthesis in tomato.

Long-chain acyl-CoA synthetases (LACSs), belonging to the acyl-activating enzyme superfamily, play crucial roles in lipid biosynthesis and fatty acid catabolism. Here, we identified 11 LACS genes in the tomato reference genome, and these genes were clustered into six subfamilies. Gene structure and conserved motif analyses indicated that LACSs from the same subfamily shared conserved gene and protein structures. Expression analysis revealed that SlLACS1 was highly expressed in the outer epidermis of tomato fruits and leaves. Subcellular localization assay results showed that SlLACS1 was located in the endoplasmic reticulum. Compared with wild-type plants, the wax content on leaves and fruits decreased by 22.5-34.2 % in SlLACS1 knockout lines, confirming that SlLACS1 was involved in wax biosynthesis in both leaves and fruits. Water loss, chlorophyll extraction, water-deficit, and toluidine blue assays suggested that cuticle permeability was elevated in SlLACS1 knockout lines, resulting in reduction in both drought stress resistance and fruit shelf-life. Overall, our analysis of the LACSs in tomato, coupled with investigations of SlLACS1 function, yielded a deeper understanding of the evolutionary patterns of LACS members and revealed the involvement of SlLACS1 in wax accumulation contribute to drought resistance and extended fruit shelf-life in tomato.

Chromosome-level assemblies of cultivated water chestnut Trapa bicornis and its wild relative Trapa incisa.

Water chestnut (Trapa L.) is a floating-leaved aquatic plant with high edible and medicinal value. In this study, we presented chromosome-level genome assemblies of cultivated large-seed species Trapa bicornis and its wild small-seed relative Trapa incisa by using PacBio HiFi long reads and Hi-C technology. The T. bicornis and T. incisa assemblies consisted of 479.90 Mb and 463.97 Mb contigs with N50 values of 13.52 Mb and 13.77 Mb, respectively, and repeat contents of 62.88% and 62.49%, respectively. A total of 33,306 and 33,315 protein-coding genes were predicted in T. bicornis and T. incisa assemblies, respectively. There were 159,232 structural variants affecting more than 11 thousand genes detected between the two genomes. The phylogenetic analysis indicated that the lineage leading to Trapa was diverged from the lineage to Sonneratia approximately 23 million years ago. These two assemblies provide valuable resources for future evolutionary and functional genomic research and molecular breeding of water chestnut.

Rapid generation of CD19 CAR-T cells by minicircle DNA enables anti-tumor activity and prevents fatal CAR-B leukemia.

Manufacturing chimeric antigen receptor (CAR)-T cells using viral vectors is expensive and time-consuming. In addition, during viral transduction, genes encoding CARs are randomly integrated into the genome, which can cause oncogenesis or produce devastating CAR-tumor cells. Here, using a virus-free and non-transgenic minicircle DNA (mcDNA) vector, we enabled the rapid generation of CD19 CAR-T cells within two days. Furthermore, we demonstrated in vitro and in xenograft models that the antitumor effects of CD19 CAR-T cells produced by mcDNA are as effective as those produced by viral vectors. Finally, we showed that our manufacturing process avoids the production of fatal CAR-tumor cells. Taken together, we have provided a fast, effective, and therapeutically safe method for generating CD19 CAR-T cells for the treatment of leukemia.

Genomic analyses reveal dead-end hybridization between two deeply divergent kiwifruit species rather than homoploid hybrid speciation.

Despite the importance of hybridization in evolution, the evolutionary consequence of homoploid hybridizations in plants remains poorly understood. Specially, homoploid hybridization events have been rarely documented due to a lack of genomic resources and methodological limitations. Actinidia zhejiangensis was suspected to have arisen from hybridization of Actinidia eriantha and Actinidia hemsleyana or Actinidia rufa. However, this species was very rare in nature and exhibited sympatric distribution with its potential parent species, which implied it might be a spontaneous hybrid of ongoing homoploid hybridization. Here, we illustrate the dead-end homoploid hybridization and genomic basis of isolating barriers between A. eriantha and A. hemsleyana through whole genome sequencing and population genomic analyses. Chromosome-scale genome assemblies of A. zhejiangensis and A. hemsleyana were generated. The chromosomes of A. zhejiangensis are confidently assigned to the two haplomes, and one of them originates from A. eriantha and the other originates from A. hemsleyana. Whole genome resequencing data reveal that A. zhejiangensis are mainly F1 hybrids of A. hemsleyana and A. eriantha and gene flow initiated about 0.98 million years ago, implying both strong genetic barriers and ongoing hybridization between these two deeply divergent kiwifruit species. Five inversions containing genes involved in pollen germination and pollen tube growth might account for the fertility breakdown of hybrids between A. hemsleyana and A. eriantha. Despite its distinct morphological traits and long recurrent hybrid origination, A. zhejiangensis does not initiate speciation. Collectively, our study provides new insights into homoploid hybridization in plants and provides genomic resources for evolutionary and functional genomic studies of kiwifruit.

The Value of Circulating Tumor Cells and Tumor Markers Detection in Lung Cancer Diagnosis.

OBJECTIVE: Circulating tumor cells are complete tumor cells with multi-scale analysis values that present a high potential for lung cancer diagnosis. To enhance the accuracy of lung cancer diagnosis, we detected circulating tumor cells by the innovated conical micro filter integrated microfluidic system. METHODS: We recruited 45 subjects of study, including 22 lung cancer patients, 2 precancerous patients, the control group including 14 healthy participants, and 7 patients with lung benign lesions in this prospective study. We calculated the area under the receiver operating characteristic curve of circulating tumor cells, cytokeratin19 fragment, carcinoma embryonic antigen, squamous cell carcinoma, neuron-specific enolase, and their combination, respectively, while compared the circulating tumor cells levels between vein blood and arterial blood. A conical shape filter embedded in a microfluidic chip was used to improve the detection capability of circulating tumor cells. RESULTS: The study indicated that the sensitivity, specificity, positive predictive value, and negative predictive value of circulating tumor cells detection were 81.8%, 90.5%, 90.0%, and 82.6%, respectively. The circulating tumor cells level of lung cancer patient was significantly higher than that of the control group (P < .05). The area under the curve of circulating tumor cells, cytokeratin19 fragment, carcinoma embryonic antigen, squamous cell carcinoma, and neuron-specific enolase alone was 0.838, 0.760, 0.705, 0.614, and 0.636, respectively. The combination area under the curve of the 4 tumor markers (cytokeratin19 fragment, carcinoma embryonic antigen, squamous cell carcinoma, and neuron-specific enolase) was 0.805 less than that of circulating tumor cells alone. Together, the total area under the curve of circulating tumor cell and the 4 tumor markers were 0.847, showing the highest area under the curve value among all biomarkers. In addition, this study found that there was no significant difference in positive rate of circulating tumor cell between arterial and venous blood samples. CONCLUSION: The circulating tumor cells detection technology by conical micro filter integrated microfluidic could be used for lung cancer diagnosis with high sensitivity and specificity. Complementary combination of circulating tumor cells and conventional 4 lung cancer markers could enhance the clinical application accuracy. Venous blood should be used as a routine sample for circulating tumor cells detections.

Ultrathin, Transparent, and High Density Perovskite Scintillator Film for High Resolution X-Ray Microscopic Imaging.

Inorganic perovskite quantum dots CsPbX3 (X = Cl, Br, and I) has recently received extensive attention as a new promising class of X-ray scintillators. However, relatively low light yield (LY) of CsPbX3 and strong optical scattering of the thick opaque scintillator film restrict their practical applications for high-resolution X-ray microscopic imaging. Here, the Ce3+ ion doped CsPbBr3 nanocrystals (NCs) with enhanced LY and stability are obtained and then the ultrathin (30 µm) and transparent scintillator films with high density are prepared by a suction filtration method. The small amount Ce3+ dopant greatly enhances the LY of CsPbBr3 NCs (about 33 000 photons per MeV), which is much higher than that of bare CsPbBr3 NCs. Moreover, the scintillator films made by these NCs with high density realize a high spatial resolution of 862 nm thanks to its thin and transparent feature, which is so far a record resolution for perovskite scintillator-based X-ray microscopic imaging. This strategy not only provides a simple way to increase the resolution down to nanoscale but also extends the application of as-prepared CsPbBr3 scintillator for high resolution X-ray microscopic imaging.

The Data set for Patient Information Based Algorithm to Predict Mortality Cause by COVID-19.

The data of COVID-19 disease in China and then in South Korea were collected daily from several different official websites. The collected data included 33 death cases in Wuhan city of Hubei province during early outbreak as well as confirmed cases and death toll in some specific regions, which were chosen as representatives from the perspective of the coronavirus outbreak in China. Data were copied and pasted onto Excel spreadsheets to perform data analysis. A new methodology, Patient Information Based Algorithm (PIBA) [1], has been adapted to process the data and used to estimate the death rate of COVID-19 in real-time. Assumption is that the number of days from inpatients to death fall into a pattern of normal distribution and the scores in normal distribution can be obtained by observing 33 death cases and analysing the data [2]. We selected 5 scores in normal distribution of these durations as lagging days, which will be used in the following estimation of death rate. We calculated each death rate on accumulative confirmed cases with each lagging day from the current data and then weighted every death rate with its corresponding possibility to obtain the total death rate on each day. While the trendline of these death rate curves meet the curve of current ratio between accumulative death cases and confirmed cases at some points in the near future, we considered that these intersections are within the range of real death rates. Six tables were presented to illustrate the PIBA method using data from China and South Korea. One figure on estimated rate of infection and patients in serious condition and retrospective estimation of initially occurring time of CORID-19 based on PIBA.

Real-time estimation and prediction of mortality caused by COVID-19 with patient information based algorithm.

The global COVID-19 outbreak is worrisome both for its high rate of spread, and the high case fatality rate reported by early studies and now in Italy. We report a new methodology, the Patient Information Based Algorithm (PIBA), for estimating the death rate of a disease in real-time using publicly available data collected during an outbreak. PIBA estimated the death rate based on data of the patients in Wuhan and then in other cities throughout China. The estimated days from hospital admission to death was 13 (standard deviation (SD), 6 days). The death rates based on PIBA were used to predict the daily numbers of deaths since the week of February 25, 2020, in China overall, Hubei province, Wuhan city, and the rest of the country except Hubei province. The death rate of COVID-19 ranges from 0.75% to 3% and may decrease in the future. The results showed that the real death numbers had fallen into the predicted ranges. In addition, using the preliminary data from China, the PIBA method was successfully used to estimate the death rate and predict the death numbers of the Korean population. In conclusion, PIBA can be used to efficiently estimate the death rate of a new infectious disease in real-time and to predict future deaths. The spread of 2019-nCoV and its case fatality rate may vary in regions with different climates and temperatures from Hubei and Wuhan. PIBA model can be built based on known information of early patients in different countries.