Single-cell and spatial transcriptomics analysis of non-small cell lung cancer.

Lung cancer is the second most frequently diagnosed cancer and the leading cause of cancer-related mortality worldwide. Tumour ecosystems feature diverse immune cell types. Myeloid cells, in particular, are prevalent and have a well-established role in promoting the disease. In our study, we profile approximately 900,000 cells from 25 treatment-naive patients with adenocarcinoma and squamous-cell carcinoma by single-cell and spatial transcriptomics. We note an inverse relationship between anti-inflammatory macrophages and NK cells/T cells, and with reduced NK cell cytotoxicity within the tumour. While we observe a similar cell type composition in both adenocarcinoma and squamous-cell carcinoma, we detect significant differences in the co-expression of various immune checkpoint inhibitors. Moreover, we reveal evidence of a transcriptional "reprogramming" of macrophages in tumours, shifting them towards cholesterol export and adopting a foetal-like transcriptional signature which promotes iron efflux. Our multi-omic resource offers a high-resolution molecular map of tumour-associated macrophages, enhancing our understanding of their role within the tumour microenvironment.

KaMRaT: a C++ toolkit for k-mer count matrix dimension reduction.

MOTIVATION: KaMRaT is designed for processing large k-mer count tables derived from multi-sample, RNA-seq data. Its primary objective is to identify condition-specific or differentially expressed sequences, regardless of gene or transcript annotation. RESULTS: KaMRaT is implemented in C++. Major functions include scoring k-mers based on count statistics, merging overlapping k-mers into contigs and selecting k-mers based on their occurrence across specific samples. AVAILABILITY AND IMPLEMENTATION: Source code and documentation are available via https://github.com/Transipedia/KaMRaT.

LINC00173 promotes Wilms' tumor progression through MGAT1-mediated MUC3A N-glycosylation.

Recent studies have unveiled that LINC00173 promotes small cell lung cancer progression. However, LINC00173 has not been studied in Wilms' tumor (WT). N-glycosylation is a complex post-translational protein modification, and alterations of protein glycosylation have been identified to affect the development of multiple tumors, including WT. MGAT1, known as N-acetylglucosaminyltransferase I (GlcNAcT-1), could initiate synthesis of complex N-glycans, but it has never been related to LINC00173 in WT. This study aimed to explore if LINC00173 could impact WT progression via MGAT1. RT-qPCR and western blot were done to measure the expression and protein levels. Functional assays, as well as animal experiments were conducted to evaluate the function of genes in vivo and in vitro. Additionally, RNA pull-down, RIP, and dual-luciferase reporter assays were carried out to determine the molecular bindings. In vitro experiments proved that sh-LINC00173 inhibited WT cell invasion and promoted WT cell apoptosis, while in vivo experiments indicated sh-LINC00173 restrained WT progression. LINC00173 stabilized MGAT1 mRNA by recruiting HNRNPA2B1. Meanwhile, MGAT1 was verified to stabilize MUC3A protein by inducing N-glycosylation. In summary, our study first discovered that LINC00173 promoted WT progression through MGAT1-mediated MUC3A N-glycosylation, giving new clues to further understanding the mechanism underlying WT progression.

The contribution of uncharted RNA sequences to tumor identity in lung adenocarcinoma.

The identity of cancer cells is defined by the interplay between genetic, epigenetic transcriptional and post-transcriptional variation. A lot of this variation is present in RNA-seq data and can be captured at once using reference-free, k-mer analysis. An important issue with k-mer analysis, however, is the difficulty of distinguishing signal from noise. Here, we use two independent lung adenocarcinoma datasets to identify all reproducible events at the k-mer level, in a tumor versus normal setting. We find reproducible events in many different locations (introns, intergenic, repeats) and forms (spliced, polyadenylated, chimeric etc.). We systematically analyze events that are ignored in conventional transcriptomics and assess their value as biomarkers and for tumor classification, survival prediction, neoantigen prediction and correlation with the immune microenvironment. We find that unannotated lincRNAs, novel splice variants, endogenous HERV, Line1 and Alu repeats and bacterial RNAs each contribute to different, important aspects of tumor identity. We argue that differential RNA-seq analysis of tumor/normal sample collections would benefit from this type k-mer analysis to cast a wider net on important cancer-related events. The code is available at https://github.com/Transipedia/dekupl-lung-cancer-inter-cohort.

2-kupl: mapping-free variant detection from DNA-seq data of matched samples.

BACKGROUND: The detection of genome variants, including point mutations, indels and structural variants, is a fundamental and challenging computational problem. We address here the problem of variant detection between two deep-sequencing (DNA-seq) samples, such as two human samples from an individual patient, or two samples from distinct bacterial strains. The preferred strategy in such a case is to align each sample to a common reference genome, collect all variants and compare these variants between samples. Such mapping-based protocols have several limitations. DNA sequences with large indels, aggregated mutations and structural variants are hard to map to the reference. Furthermore, DNA sequences cannot be mapped reliably to genomic low complexity regions and repeats. RESULTS: We introduce 2-kupl, a k-mer based, mapping-free protocol to detect variants between two DNA-seq samples. On simulated and actual data, 2-kupl achieves higher accuracy than other mapping-free protocols. Applying 2-kupl to prostate cancer whole exome sequencing data, we identify a number of candidate variants in hard-to-map regions and propose potential novel recurrent variants in this disease. CONCLUSIONS: We developed a mapping-free protocol for variant calling between matched DNA-seq samples. Our protocol is suitable for variant detection in unmappable genome regions or in the absence of a reference genome.

Kmerator Suite: design of specific k-mer signatures and automatic metadata discovery in large RNA-seq datasets.

The huge body of publicly available RNA-sequencing (RNA-seq) libraries is a treasure of functional information allowing to quantify the expression of known or novel transcripts in tissues. However, transcript quantification commonly relies on alignment methods requiring a lot of computational resources and processing time, which does not scale easily to large datasets. K-mer decomposition constitutes a new way to process RNA-seq data for the identification of transcriptional signatures, as k-mers can be used to quantify accurately gene expression in a less resource-consuming way. We present the Kmerator Suite, a set of three tools designed to extract specific k-mer signatures, quantify these k-mers into RNA-seq datasets and quickly visualize large dataset characteristics. The core tool, Kmerator, produces specific k-mers for 97% of human genes, enabling the measure of gene expression with high accuracy in simulated datasets. KmerExploR, a direct application of Kmerator, uses a set of predictor gene-specific k-mers to infer metadata including library protocol, sample features or contaminations from RNA-seq datasets. KmerExploR results are visualized through a user-friendly interface. Moreover, we demonstrate that the Kmerator Suite can be used for advanced queries targeting known or new biomarkers such as mutations, gene fusions or long non-coding RNAs for human health applications.

Reference-free transcriptome signatures for prostate cancer prognosis.

BACKGROUND: RNA-seq data are increasingly used to derive prognostic signatures for cancer outcome prediction. A limitation of current predictors is their reliance on reference gene annotations, which amounts to ignoring large numbers of non-canonical RNAs produced in disease tissues. A recently introduced kind of transcriptome classifier operates entirely in a reference-free manner, relying on k-mers extracted from patient RNA-seq data. METHODS: In this paper, we set out to compare conventional and reference-free signatures in risk and relapse prediction of prostate cancer. To compare the two approaches as fairly as possible, we set up a common procedure that takes as input either a k-mer count matrix or a gene expression matrix, extracts a signature and evaluates this signature in an independent dataset. RESULTS: We find that both gene-based and k-mer based classifiers had similarly high performances for risk prediction and a markedly lower performance for relapse prediction. Interestingly, the reference-free signatures included a set of sequences mapping to novel lncRNAs or variable regions of cancer driver genes that were not part of gene-based signatures. CONCLUSIONS: Reference-free classifiers are thus a promising strategy for the identification of novel prognostic RNA biomarkers.

Therapeutic effect of integrin-linked kinase gene-modified bone marrow-derived mesenchymal stem cells for streptozotocin-induced diabetic cystopathy in a rat model.

BACKGROUND: Diabetic cystopathy (DCP) is a chronic complication of diabetes mainly within the submucosal and muscular layers of the bladder due to the hyperglycemia-induced ischemia. As no effective therapies are currently available, the administration of optimized mesenchymal stem cells (MSCs) provides a potential treatment of DCP. Thus far, new strategy, such as genetic modification of MSCs, has been developed and has shown promising outcomes of various disorders. METHODS: This study was conducted using integrin-linked kinase (ILK) gene-modified bone marrow-derived stem cells (BMSCs) for streptozotocin (STZ)-induced diabetic cystopathy in a rat model. In total, 68 male Sprague-Dawley rats were randomized into five groups: sham control (control group, n = 10); DCP model alone (DM group, n = 10); DCP rats intravenously treated with BMSCs (BMSC group, n = 16); DCP rats accepted adenoviral vector-infected BMSCs (Ad-null-BMSC group, n = 16) and DCP rats accepted ILK adenoviral vector-infected BMSCs (Ad-ILK-BMSC group, n = 16). Diabetic rats accepted cell transplantation in the experimental group (2 rats per group) were sacrificed for the bladder tissue on the third day, 7th day, and 14th day of treatment respectively ahead of schedule. At 4 weeks after treatment, all rats in five groups accepted urodynamic studies to evaluate bladder function and were sacrificed for bladder tissue. RESULTS: Our data showed that the underactive bladder function was significantly improved in DCP rats intravenously treated with ILK gene-modified BMSCs compared to those in the DM, BMSCs, and Ad-null-BMSC group. Meanwhile, we found that gene-modified BMSC treatment significantly promoted the activation of the AKT/GSK-3ß pathway by increasing phosphorylation and led to the enhancement of survival. In addition, the expression levels of angiogenesis-related protein vascular endothelial growth factor (VEGF), basic fibroblast growth factor (bFGF), and stromal cell-derived factor-1 (SDF-1) were significantly higher in the Ad-ILK-BMSC group than that in the DM, BMSCs, and Ad-null-BMSC group as assessed by enzyme-linked immunosorbent assay and western blot. As two indicators of vascular endothelial cell markers, the expression of von Willebrand factor (vWF) and CD31 by western blot and immunofluorescent staining revealed that the percentage of the vascular area of the bladder tissue significantly increased in Ad-ILK-BMSC group compared with the BMSCs and Ad-null-BMSC group on the 14th day of treatment. Histological and immunohistochemical staining (hematoxylin and eosin (HE), vWF, Ki67, and TUNNEL) on the bladder tissue revealed statistically different results between groups. CONCLUSION: ILK gene-modified BMSCs restored the bladder function and histological construction via promoting the process of angiogenesis and protecting cells from high glucose-associated apoptosis in STZ-induced DCP rat model, which provides a potential for the treatment of patients with DCP.

Green Synthesis of Porous Cocoon-like rGO for Enhanced Microwave-Absorbing Performances.

A novel porous cocoon-like reduced graphene oxide (rGO) with high porosity and low density was fabricated by a simple and green reduction reaction using ascorbic acid as the reductant in combination with a freeze-drying process without annealing. The bulk density of porous cocoon-like rGO is only 28.49 mg/cm3, and the porosity reaches 94.57%. The reaction times have an important influence on the formation of porous cocoon-like rGO and the reduction degree of rGO. The porous cocoon-like rGO exhibits an excellent microwave-absorbing property with a low mass filling ratio of 7.0 wt %; its minimum reflection loss (RL) is -29.05 dB at 15.96 GHz with a sample thickness of 2.0 mm and the effective absorption bandwidth (RL < -10 dB) is 5.27 GHz. The microwave-absorbing property of porous cocoon-like rGO is much better than that of GO and other porous rGO. The in-depth analyses of the reduction degree, porosity, and microwave-absorbing performance illustrate that the microwave-absorbing performance of rGO is significantly related to the reduction degree and porosity. In addition, the synthetic route for porous cocoon-like rGO is simple, has low energy consumption, and is environmentally friendly. Our work demonstrates that the porous cocoon-like rGO is a promising lightweight microwave absorber with high performance.

Preclinical trial of the multi-targeted lenvatinib in combination with cellular immunotherapy for treatment of renal cell carcinoma.

Lenvatinib is an oral, multi-targeted tyrosine kinase inhibitor of vascular endothelial growth factor receptors 1-3, fibroblast growth factor receptors 1-4, platelet-derived growth factor receptor ß, RET and KIT. Cellular immunotherapy has the potential to be a highly targeted treatment, with low toxicity to normal tissues and a high capacity to eradicate tumor tissue. The present study assessed the safety, maximum tolerated dose (MTD) and preliminary antitumor activity of lenvatinib and cellular immunotherapy in a murine model of renal cell carcinoma (RCC). The present study used a therapeutic dose of 0.12 mg lenvatinib and/or 104 rat uterine cancer adenocarcinoma (RuCa)-sensitized lymphocytes administered once daily continuously in 7-day cycles. Tumor regression was observed in mice with RCC following treatment with lenvatinib and 104 RuCa-sensitized lymphocytes. MTD was established as once daily administration of 0.18 mg lenvatinib and 106 RuCa-sensitized lymphocytes. The most common treatment-related adverse effects observed were fatigue (40%), mucosal inflammation (30%), proteinuria, diarrhea, vomiting, hypertension and nausea (all 40%). Combination therapy using lenvatinib and cellular immunotherapy enhanced the antitumor effect induced by single treatments and prolonged the survival of mice with RCC compared with either of the single treatments. Treatment with lenvatinib (0.12 mg) combined with 104 RuCa-sensitized lymphocytes was associated with manageable toxicity consistent with individual agents. Further evaluation of this combination therapy in mice with advanced RCC is required. In conclusion, cellular immunotherapy and oncolytic therapy for cancer may be improved by the synergistic effects of lenvatinib and sensitized lymphocytes. In the present study, the inherent antineoplastic and immune stimulatory properties of the two agents were enhanced when used in combination, which may provide a basis for clinical treatment of patients with RCC.

[Saw palmetto fruit extract improves LUTS in type â ¢A prostatitis patients].

OBJECTIVE: To assess the clinical efficacy of the saw palmetto fruit extract (SPFE) in the treatment of lower urinary tract symptoms (LUTS) in patients with type ⅢA prostatitis. METHODS: This retrospective study included 54 cases of type ⅢA prostatitis treated in the Outpatient Department of our hospital from January to December 2015. The patients were aged 35.06 ± 5.85 years, with a mean disease course of 3.8 ± 2.1 years, and all received oral medication of SPFE Capsules at the dose of 320 mg qd for 12 weeks. We assessed the therapeutic effects by comparing the NIH-chronic prostatitis symptom indexes (NIH-CPSI), voiding diary, International Prostate Symptom Scores (IPSS), and results of urodynamic examination before and after treatment. RESULTS: Compared with the baseline, both NIH-CPSI and IPSS were significantly decreased after medication (27.61 ± 3.76 vs 18.6 ± 5.34, P <0.01; 20.44 ± 4.51 vs 10.96±4.62, P <0.01), and urodynamic examination and voiding diary showed dramatic post-medication improvement in the average urinary flow rate (ï¼»8.05±1.42ï¼½ vs ï¼»12.05±2.60ï¼½ ml/s, P <0.01 ), maximum urinary flow rate (ï¼»14.22±1.74ï¼½ vs ï¼»21.32±4.51ï¼½ ml/s, P <0.01), residual urine volume (ï¼»46.15±16.57ï¼½ vs ï¼»14.55±10.21ï¼½ ml, P <0.01), maximum urethral closure pressure (ï¼»76.52±3.53ï¼½ vs ï¼»65.32±4.75ï¼½ cm H2O, P <0.01), mean urinary volume (ï¼»124.63±40.55ï¼½ vs ï¼»285.93±58.68ï¼½ ml, P <0.01), urination frequency (16.96±4.17 vs 8.96±2.50, P <0.01), and nocturia frequency (8.94±3.23 vs 3.15±1.90, P <0.01). No apparent adverse reactions were observed in any of the patients. CONCLUSIONS: SPFE Capsules can safely and effectively improve LUTS and thus the quality of life of patients with type ⅢA prostatitis.