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Background Early diagnosis improves the prognosis for non‐small cell lung cancer (NSCLC); therefore, there is a pressing need for effective diagnostic methods for NSCLC. Increasing evidence indicates that serum exosomal micro RNAs (miRNAs) represent promising diagnostic and prognostic markers for multiple cancers. Here, we explored a panel of miRNAs for NSCLC diagnosis and functionally characterized miR‐1269a in the pathogenesis of NSCLC. Methods: First, we analyzed high‐throughput data from The Cancer Genome Atlas (TCGA) to identify differentially expressed miRNAs between NSCLC patients and healthy controls. We examined the expression profiles of the identified miRNAs using qRT‐PCR. Results: We found that four micro‐RNAs (hsa‐miR‐9‐3p, hsa‐miR‐205‐5p, hsa‐miR‐210‐5p, and hsa‐miR‐1269a) were more abundant in serum exosomes from NSCLC patients. A logistic regression model validated the diagnostic efficacy of the four‐microRNA panel, allowing us to distinguish NSCLC patients from healthy controls with AUCs of 0.915 and 0.878 for the training and validation sets, respectively. Functionally, NSCLC cell proliferation, migration, and invasion were affected by the aberrant expression of hsa‐miR‐1269a in culture. Reduced expression of miR‐1269a resulted in reduced proliferation, migration, and invasion through targeting the forkhead box O1 gene (FOXO1). Conclusions: Taken together, our study identified a panel of four serum exosomal miRNAs as a potential noninvasive diagnostic biomarker for NSCLC. The interactions between FOXO1 and miR‐1269a represent novel potential targets for NSCLC therapy., Four serum exosomal miRNA panel as a potential non‐invasive diagnostic biomarker for NSCLC. The interactions of FOXO1 and miR‐1269a may represent novel potential targets for NSCLC therapy.

As a powerful nondestructive inspection technique, X-ray computed tomography (X-CT) has been widely applied to clinical diagnosis, industrial production and cutting-edge research. Imaging efficiency is currently one of the major obstacles for the applications of X-CT. In this paper, a multi-mounted three dimensional cone-beam X-CT (MM-CBCT) method is reported. It consists of a novel multi-mounted cone-beam scanning geometry and the corresponding three dimensional statistical iterative reconstruction algorithm. The scanning geometry is the most iconic design and significantly different from the current CBCT systems. Permitting the cone-beam scanning of multiple objects simultaneously, the proposed approach has the potential to achieve an imaging efficiency orders of magnitude greater than the conventional methods. Although multiple objects can be also bundled together and scanned simultaneously by the conventional CBCT methods, it will lead to the increased penetration thickness and signal crosstalk. In contrast, MM-CBCT avoids substantially these problems. This work comprises a numerical study of the method and its experimental verification using a dataset measured with a developed MM-CBCT prototype system. This technique will provide a possible solution for the CT inspection in a large scale.

X-ray phase-contrast imaging has attracted much more attention in researches, due to the better imaging contrast than absorption when the sample is made of light elements. However, X-ray phase retrieval procedure based on differential phase-contrast imaging (DPCI) is time-consuming because of the phase stepping technique, which is a necessary step of accurate retrieval of phase information. In this work, we proposed a single-shot method based on DPCI without phase stepping by designing a new absorption grating. It can successfully distinguish the characteristic of the sample with greatly reduced imaging time and radiation dose, which makes it more practical in medical and industrial applications. An experimental data is implemented to support our idea.

Most existing X-ray computed tomography (CT) techniques work in single-mounted mode and need to scan the inspected objects one by one. It is time-consuming and not acceptable for the inspection in a large scale. In this paper, we report a multi-mounted CT method and its first engineering implementation. It consists of a multi-mounted scanning geometry and the corresponding algebraic iterative reconstruction algorithm. This approach permits the CT rotation scanning of multiple objects simultaneously without the increase of penetration thickness and the signal crosstalk. Compared with the conventional single-mounted methods, it has the potential to improve the imaging efficiency and suppress the artifacts from the beam hardening and the scatter. This work comprises a numerical study of the method and its experimental verification using a dataset measured with a developed multi-mounted X-ray CT prototype system. We believe that this technique is of particular interest for pushing the engineering applications of X-ray CT.

The expression and functions of microRNA-361 (miR-361) have been studied in various human cancers. However, its expression and role in non‑small‑cell lung cancer (NSCLC) remains unclear. In the present study, the expression levels of miR‑361 in NSCLC tissues and cell lines were determined using reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR). In addition, the effect of miR‑361 on the proliferation, migration and invasion of NSCLC cells was assessed. Furthermore, a dual‑Luciferase reporter assay, RT‑qPCR and western blotting were performed to investigate whether miR‑361 directly targeted the 3' untranslated region of Wilms' tumor 1 (WT1). The results of the present study revealed that miR‑361 was downregulated in NSCLC tissues and cell lines. Enforced expression of miR‑361 suppressed the proliferation, migration and invasion of NSCLC cells. WT1 was identified as a direct target gene of miR‑361 in NSCLC. Furthermore, knockdown of WT1 had similar effects to miR‑361 overexpression in NSCLC cells. The present study provided novel insights into the molecular mechanism underlying the rapid growth and metastasis of NSCLC, and identified the association between miR‑361 and WT1 as a potential therapeutic target for the treatment of NSCLC.