The heterogeneity of exosomal populations has hindered our understanding of their biogenesis, molecular composition, biodistribution, and functions. By employing asymmetric-flow field-flow fractionation (AF4), we identified two exosome subpopulations (large exosome vesicles, Exo-L, 90-120 nm; small exosome vesicles, Exo-S, 60-80 nm) and discovered an abundant population of non-membranous nanoparticles termed “exomeres” (~35 nm). Exomere proteomic profiling revealed an enrichment in metabolic enzymes and hypoxia, microtubule and coagulation proteins and specific pathways, such as glycolysis and mTOR signaling. Exo-S and Exo-L contained proteins involved in endosomal function and secretion pathways, and mitotic spindle and IL-2/STAT5 signaling pathways, respectively. Exo-S, Exo-L, and exomeres each had unique N-glycosylation, protein, lipid, and DNA and RNA profiles and biophysical properties. These three nanoparticle subsets demonstrated diverse organ biodistribution patterns, suggesting distinct biological functions. This study demonstrates that AF4 can serve as an improved analytical tool for isolating and addressing the complexities of heterogeneous nanoparticle subpopulations.

Summary Tumor-secreted extracellular vesicles (EVs) are critical mediators of intercellular communication between tumor cells and stromal cells in local and distant microenvironments. Accordingly, EVs play an essential role in both primary tumor growth and metastatic evolution. EVs orchestrate multiple systemic pathophysiological processes, such as coagulation, vascular leakiness, and reprogramming of stromal recipient cells to support pre-metastatic niche formation and subsequent metastasis. Clinically, EVs may be biomarkers and novel therapeutic targets for cancer progression, particularly for predicting and preventing future metastatic development.

Highlights d Proteomic profiles of extracellular vesicles and particles (EVPs) from 426 human samples d Identification of pan-EVP markers d Characterization of tumor-derived EVP markers in human tissues and plasma d EVP proteins can be useful for cancer detection and determining cancer type

AUTHOR CONTRIBUTIONS G.R. designed the experimental approach, performed the experimental work, analyzed the data, coordinated the project and wrote the manuscript. A.H. performed primary tumour growth and exosome education in vivo studies, cancer cell proliferation in vitro studies, cancer cell culture and exosome isolation, coordinated the project and wrote the manuscript. C.M.K. generated CEMIP overexpression, performed molecular cloning work and genetic manipulation of cancer cells, cancer cell culture and exosome isolation, coordinated the project and wrote the manuscript. I.R.M. performed brain slice ex vivo FACS analysis and exosome education in vivo studies, cancer cell culture and exosome isolation, coordinated the project, wrote and reviewed the manuscript. L.S. performed brain slice ex vivo experimental work, tissue processing and immunostaining, ex vivo and in vivo ImageJ data analysis and quantification, cancer cell invasion in vitro studies, western blot analysis, cancer cell culture and exosome isolation, and contributed to figure panel assembly. D.F. performed density gradient exosome isolation, characterization and analysis, western blot analysis, and cancer cell culture. H.S.K. and P.R.O. performed RNA sequencing data analysis. I.S. performed tissue processing and immunostaining, ex vivo and in vivo ImageJ data analysis and quantification, cancer cell culture and exosome isolation. I.C.S. performed western blot analysis and assisted in analysis of human data.

BackgroundIn the postgenome era, a prediction of response to treatment could lead to better dose selection for patients in radiotherapy. To identify a radiosensitive gene signature and elucidate related signaling pathways, four different microarray experiments were reanalyzed before radiotherapy.ResultsRadiosensitivity profiling data using clonogenic assay and gene expression profiling data from four published microarray platforms applied to NCI-60 cancer cell panel were used. The survival fraction at 2 Gy (SF2, range from 0 to 1) was calculated as a measure of radiosensitivity and a linear regression model was applied to identify genes or a gene set with a correlation between expression and radiosensitivity (SF2). Radiosensitivity signature genes were identified using significant analysis of microarrays (SAM) and gene set analysis was performed using a global test using linear regression model. Using the radiation-related signaling pathway and identified genes, a genetic network was generated. According to SAM, 31 genes were identified as common to all the microarray platforms and therefore a common radiosensitivity signature. In gene set analysis, functions in the cell cycle, DNA replication, and cell junction, including adherence and gap junctions were related to radiosensitivity. The integrin, VEGF, MAPK, p53, JAK-STAT and Wnt signaling pathways were overrepresented in radiosensitivity. Significant genes including ACTN1, CCND1, HCLS1, ITGB5, PFN2, PTPRC, RAB13, and WAS, which are adhesion-related molecules that were identified by both SAM and gene set analysis, and showed interaction in the genetic network with the integrin signaling pathway.ConclusionsIntegration of four different microarray experiments and gene selection using gene set analysis discovered possible target genes and pathways relevant to radiosensitivity. Our results suggested that the identified genes are candidates for radiosensitivity biomarkers and that integrin signaling via adhesion molecules could be a target for radiosensitization.

is the most frequently mutated oncogene in human tumors, and its activating mutations represent important therapeutic targets. The combination of Cas9 and guide RNA from the CRISPR-Cas system recognizes a specific DNA sequence and makes a double-strand break, which enables editing of the relevant genes. Here, we harnessed CRISPR to specifically target mutant alleles in cancer cells. We screened guide RNAs using a reporter system and validated them in cancer cells after lentiviral delivery of Cas9 and guide RNA. The survival, proliferation, and tumorigenicity of cancer cells in vitro and the growth of tumors in vivo were determined after delivery of Cas9 and guide RNA. We identified guide RNAs that efficiently target mutant without significant alterations of the wild-type allele. Doxycycline-inducible expression of this guide RNA in -mutant cancer cells transduced with a lentiviral vector encoding Cas9 disrupted the mutant gene, leading to inhibition of cancer cell proliferation both in vitro and in vivo. Intra-tumoral injection of lentivirus and adeno-associated virus expressing Cas9 and sgRNA suppressed tumor growth in vivo, albeit incompletely, in immunodeficient mice. Expression of Cas9 and the guide RNA in cells containing wild-type did not alter cell survival or proliferation either in vitro and in vivo. Our study provides a proof-of-concept that CRISPR can be utilized to target driver mutations of cancers in vitro and in vivo.

No abstract

PurposePrevious studies have not defined the role of telemonitoring with educational tools in outpatients with advanced cancers. We tested the effectiveness of standardized education and telemonitoring for improving pain, distress, anxiety, depression, quality of life (QoL), and performance in outpatients with advanced cancers.MethodsA total of 108 patients were randomly assigned to receive pain education alone (control arm) or pain education plus telemonitoring (experimental arm). Nursing specialists provided video-assisted educational material in both arms and daily telemonitoring for the first week in the experimental arm. Assessment was performed at baseline and 1 week and included evaluations of pain (Brief Pain Inventory, BPI), distress (Distress Thermometer, DT), anxiety, and depression (Hospital Anxiety and Depression Scale, HADS), QoL (QLQ-C30), and a Karnofsky score.ResultsOverall (n = 108), pain intensity was significantly improved at 1 week, including worst pain (7.3 to 5.7, P < 0.01) and average pain (4.6 to 3.8, P < 0.01). Additionally, anxiety (HADS score ≥ 11, 75 % to 56 %, P < 0.01), depression (HADS score ≥ 11, 73 % to 51 %, P < 0.01), QoL (fatigue and insomnia), and the Karnofsky score (32 to 66, P < 0.01) were also significantly improved at 1 week. However, the level of distress did not improve. The telemonitoring plus standardized education group showed more significant improvement in portion of pain >4 on VAS scale (35 % vs. 19 %, P = 0.02).ConclusionsStandardized pain education using nursing specialists is an efficient way to improve not only pain itself but also anxiety, depression, performance, and QoL. The addition of telemonitoring helps to improve pain management in the outpatient setting.