Effect of Yifei Qinghua Granule on the Tumor Microenvironment in Lung Cancer by Regulating the Inflammatory Pathway.

To investigate the mechanism of action of inflammatory molecules regulating the tumor microenvironment and anti-tumor through Yifei Qinghua granules and phloroglucinol-containing serum intervening in the changes of tumor microenvironment in vitro in the co-culture of lung cancer cells and bone marrow cells.  A549 lung adenocarcinoma cell line and ST2 bone marrow stromal cell line were selected and a transwell chamber was used to establish the co-culture system of the two kinds of cells. They were divided into normal saline, phloroglucinol, Qifei Qinghua granule, and phloroglucinol + Yifei Qinghua granule groups. They were given drug-containing serum interventions respectively. A549 cells and ST2 cells cultured separately were used as control. Flow cytometry was used to detect the proportions of MDSCs and Tregs in bone marrow cells of ST2 cells. ELISA was used to detect the levels of inflammatory factors in the culture supernatant. Western blot was used to detect the expressions of inflammatory pathways in A549 and ST2 cells. ST2 cells and A549 cells were co-cultured. The ratio of MDSCs and Treg in ST2 cells was increased. The levels of some inflammatory factors in the culture supernatant were increased. The expression level of the inflammatory pathway in ST2 cells was increased. However, the expression level of the inflammatory pathway in A549 cells had no obvious change. While Yifei Qinghua granule and phloroglucinol could partially reverse these changes. The combination of the two was more effective than a single drug. The conversion of cells to MDSCs and Treg was accelerated after the co-culture of ST2 cells and A549 cells. The combination of Yifei Qinghua granules with phloroglucinol can reshape the tumor microenvironment, prevent this phenomenon from occurring, reduce inflammatory secretion and inhibit tumor cell growth. This may be related to the inhibition of the expressions of TNF-α/IL-1- and NF-κB/STAT3 inflammatory pathways.

Deep Efficient End-to-end Reconstruction (DEER) Network for Few-view Breast CT Image Reconstruction.

Breast CT provides image volumes with isotropic resolution in high contrast, enabling detection of small calcification (down to a few hundred microns in size) and subtle density differences. Since breast is sensitive to x-ray radiation, dose reduction of breast CT is an important topic, and for this purpose, few-view scanning is a main approach. In this article, we propose a Deep Efficient End-to-end Reconstruction (DEER) network for few-view breast CT image reconstruction. The major merits of our network include high dose efficiency, excellent image quality, and low model complexity. By the design, the proposed network can learn the reconstruction process with as few as O ( N ) parameters, where N is the side length of an image to be reconstructed, which represents orders of magnitude improvements relative to the state-of-the-art deep-learning-based reconstruction methods that map raw data to tomographic images directly. Also, validated on a cone-beam breast CT dataset prepared by Koning Corporation on a commercial scanner, our method demonstrates a competitive performance over the state-of-the-art reconstruction networks in terms of image quality. The source code of this paper is available at: https://github.com/HuidongXie/DEER.

Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning.

While micro-CT systems are instrumental in preclinical research, clinical micro-CT imaging has long been desired with cochlear implantation as a primary application. The structural details of the cochlear implant and the temporal bone require a significantly higher image resolution than that (about 0.2 mm) provided by current medical CT scanners. In this paper, we propose a clinical micro-CT (CMCT) system design integrating conventional spiral cone-beam CT, contemporary interior tomography, deep learning techniques, and the technologies of a micro-focus X-ray source, a photon-counting detector (PCD), and robotic arms for ultrahigh-resolution localized tomography of a freely-selected volume of interest (VOI) at a minimized radiation dose level. The whole system consists of a standard CT scanner for a clinical CT exam and VOI specification, and a robotic micro-CT scanner for a local scan of high spatial and spectral resolution at minimized radiation dose. The prior information from the global scan is also fully utilized for background compensation of the local scan data for accurate and stable VOI reconstruction. Our results and analysis show that the proposed hybrid reconstruction algorithm delivers accurate high-resolution local reconstruction, and is insensitive to the misalignment of the isocenter position, initial view angle and scale mismatch in the data/image registration. These findings demonstrate the feasibility of our system design. We envision that deep learning techniques can be leveraged for optimized imaging performance. With high-resolution imaging, high dose efficiency and low system cost synergistically, our proposed CMCT system has great promise in temporal bone imaging as well as various other clinical applications.

Nedaplatin- versus cisplatin-based chemotherapy in the survival time of patients with non-small cell lung cancer.

Nedaplatin (NDP) has been extensively used to treat patients with non-small cell lung cancer (NSCLC) in the last decade. The present study compared the survival benefits of NDP and cisplatin (DDP) in the treatment of NSCLC. Patients (n=392) with NSCLC were treated with at least two cycles of platinum-based chemotherapy. Among these patients, 202 received DDP-based chemotherapy, and 190 received NDP-based chemotherapy. The overall survival time of the two groups and the toxicity of drugs were analyzed. The results showed that only the chemotherapy cycle duration was found to be statistically different between DDP and NDP groups in all the characteristics. The mean chemotherapy duration was 3.3 cycles in the DDP group, and 4.1 cycles in the NDP group (χ2=20.206, P<0.001). Additionally, the chemotherapy cycle number was also an independent predictive factor for the overall survival time in the multivariate analysis (HR=0.539, P<0.001). The median survival time (MST) was 15 months in the DDP group, and 20 months in the NDP group (χ2=5.189, P=0.023). The 1-, 2- and 3-year overall survival rates were 62.4, 25.7 and 15.8%, and 78.9, 38.9, and 16.8% in the DPP and NDP groups, respectively. The incidence of grade 3-4 nausea/vomiting, anorexia and weight loss was higher in the DDP compared to the NDP group (36.1 vs. 8.4%, 17.3 vs. 5.8%, and 9.9 vs. 1%, respectively). In conclusion, NDP-based chemotherapy had a survival benefit compared to DDP-based chemotherapy for NSCLC patients, due to the lower toxicity of NDP, which renders this drug more tolerable, thus allowing patients to undergo more cycles of chemotherapy.

Functional recA, lexA, umuD, umuC, polA, and polB genes are not required for the Escherichia coli UVM response.

The Escherichia coli UVM response is a recently described phenomenon in which pretreatment of cells with DNA-damaging agents such as UV or alkylating agents significantly enhances mutation fixation at a model mutagenic lesion (3,N4-ethenocytosine; epsilon C) borne on a transfected M13 single-stranded DNA genome. Since UVM is observed in delta recA cells in which SOS induction should not occur, UVM may represent a novel, SOS-independent, inducible response. Here, we have addressed two specific hypothetical mechanisms for UVM: (i) UVM results from a recA-independent pathway for the induction of SOS genes thought to play a role in induced mutagenesis, and (ii) UVM results from a polymerase switch in which M13 replication in treated cells is carried out by DNA polymerase I (or DNA polymerase II) instead of DNA polymerase III. To address these hypotheses, E. coli cells with known defects in recA, lexA, umuDC, polA, or polB were treated with UV or 1-methyl-3-nitro-1-nitrosoguanidine before transfection of M13 single-stranded DNA bearing a site-specific ethenocytosine lesion. Survival of the transfected DNA was measured as transfection efficiency, and mutagenesis at the epsilon C residue was analyzed by a quantitative multiplex DNA sequencing technology. Our results show that UVM is observable in delta recA cells, in lexA3 (noninducible SOS repressor) cells, in LexA-overproducing cells, and in delta umuDC cells. Furthermore, our data show that UVM induction occurs in the absence of detectable induction of dinD, an SOS gene. These results make it unlikely that UVM results from a recA-independent alternative induction pathway for SOS gene.