Chinese expert consensus on standardized treatment for presacral cysts.

Presacral cysts are cystic or cyst-solid lesions between the sacrum and rectum, almost involving adjacent pelvic floorstructures including sacrococcygeal fascia, rectum, and anal sphincter. Presacral cysts are usually benign, currently believed to arise from aberrant embryogenesis. Presacral cysts are clinically rare and the true incidence is unknown. Surgical resection remains the major treatment for presacral cysts. Unless the cysts are completely resected, recurrence is unavoidable. Recurrent cysts or hard-to-heal sinuses in the sacrococcyx cause patients extreme pain. However, the current knowledge of presacral cysts is insufficient. They are occasionally confused with other diseases such as ovarian cysts and perianal abscesses. Moreover, lack of the correct surgical concept and skills leads to palliative treatment for complex presacral cysts and serious complications such as impairing the function of the anal sphincter or important blood vessels and nerves. The consensus summarizes the opinions and experiences of multidisciplinary experts in presacral cysts and aims to provide clinicians with a more defined concept of the treatment, standardize the surgical approach, and improve the efficacy of presacral cysts.

Double filter iterative ghost imaging for high quality edge and image acquisition.

Improving imaging quality and reducing time consumption are the key problems that need to be solved in the practical application of ghost imaging. Hence, we demonstrate a double filter iterative ghost imaging method, which adopts the joint iteration of projected Landweber iterative regularization and double filtering based on block matching three dimensional filtering and guided filtering to achieve high-quality image reconstruction under low measurement and low iteration times. This method combines the advantages of ill-posed problem solution of projected Landweber iterative regularization with double filtering joint iterative de-noising and edge preservation. The numerical simulation results show that our method outperforms the comparison method by 4 to 6 dB in terms of peak signal-to-noise ratio for complex binary target 'rice' and grayscale target 'aircraft' after 1500 measurements. The comparison results of experiments and numerical simulations using similar aircraft targets show that this method is superior to the comparison method, especially in terms of richer and more accurate edge detection results. This method can simultaneously obtain high quality reconstructed image and edge feature information under low measurement and iteration times, which is of great value for the practical application fields of imaging and edge detection at the same time, such as intelligent driving, remote sensing and other fields.

Quantum battery based on dipole-dipole interaction and external driving field.

The Dicke model is a fundamental model in quantum optics, which describes the interaction between quantum cavity field and a large ensemble of two-level atoms. In this work, we propose an efficient charging quantum battery achieved by considering an extension Dicke model with dipole-dipole interaction and an external driving field. We focus on the influence of the atomic interaction and the driving field on the performance of the quantum battery during the charging process and find that the maximum stored energy exhibits a critical phenomenon. The maximum stored energy and maximum charging power are investigated by varying the number of atoms. When the coupling between atoms and cavity is not very strong, compared to the Dicke quantum battery, such quantum battery can achieve more stable and faster charging. In addition, the maximum charging power approximately satisfies a superlinear scaling relation P_{max}∝ßN^{α}, where the quantum advantage α=1.6 can be reached via optimizing the parameters.

Switchable selective interactions in a Dicke model with a driven biased term.

In this work, we propose a method to investigate controllable qubit-resonator interactions in a Dicke model with driven biased term. The nonlinearity of the spectrum, which can be induced by qubit-resonator interactions, plays an important role in such controllable interactions. To gain insight into the mechanism of the nonlinearity, we perform a unitary transformation of the Hamiltonian. The results show that the nonlinearity of the transformed Hamiltonian depends on the qubit-resonator coupling strength. The general forms of the effective Hamiltonians are discussed in detail based on the frequency modulation approach. The dynamical evolution can be switched on and off by adjusting the modulation parameters. By utilizing such controllable interactions, we discuss the creation of Dicke states and the arbitrary superposition of Dicke states. We also consider the nonlinearity of the energy level for the limit of large qubit numbers. In the thermodynamics limit, the Kerr type nonlinearity is induced from "magnon"-resonator coupling, and the selective preparation of "magnon" Fock states can be studied under a "magnon" scenario.

Elucidating the molecular determinants in the process of gastrin C-terminal pentapeptide amide end activating cholecystokinin 2 receptor by Gaussian accelerated molecular dynamics simulations.

Gastrin plays important role in stimulating the initiation and development of many gastrointestinal diseases through interacting with the cholecystokinin 2 receptor (CCK2R). The smallest bioactive unit of gastrin activating CCK2R is the C-terminal tetrapeptide capped with an indispensable amide end. Understanding the mechanism of this smallest bioactive unit interacting with CCK2R on a molecular basis could provide significant insights for designing CCK2R antagonists, which can be used to treat gastrin-related diseases. To this end, we performed extensive Gaussian accelerated molecular dynamics simulations to investigate the interaction between gastrin C-terminal pentapeptide capped with/without amide end and CCK2R. The amide cap influences the binding modes of the pentapeptide with CCK2R by weakening the electrostatic attractions between the C-terminus of the pentapeptide and basic residues near the extracellular domain in CCK2R. The C-terminus with the amide cap penetrates into the transmembrane domain of CCK2R while floating at the extracellular domain without the amide cap. Different binding modes induced different conformational dynamics of CCK2R. Residue pairs in CCK2R had stronger correlated motions when binding with the amidated pentapeptide. Key residues and interactions important for CCK2R binding with the amidated pentagastrin were also identified. Our results provide molecular insights into the determinants of the bioactive unit of gastrin activating CCK2R, which would be of great help for the design of CCK2R antagonists.

The Role of Interleukin-6 (IL-6) in the Systemic Inflammatory Response in Xenograft Recipients and in Pig Kidney Xenograft Failure.

Background: In pig-to-baboon transplantation models, there is increasing evidence of systemic inflammation in xenograft recipients (SIXR) associated with pig xenograft failure. We evaluated the relationship between systemic inflammatory factors and pig kidney xenograft failure. Methods: Baboons received kidney transplants from genetically engineered pigs (n=9), and received an anti-CD40mAb-based (n=4) or conventional (n=5) immunosuppressive regimen. The pig kidney grafts were monitored by measurements of serum creatinine, serum amyloid A (SAA), white blood cell (WBC) and platelet counts, plasma fibrinogen, and pro-inflammatory cytokines (baboon and pig IL-6, TNF-α, IL-1ß). Results: Six baboons were euthanized or died from rejection, and 3 were euthanized for infection. Changes in serum creatinine correlated with those of SAA (r=0.56, p<0.01). Serum baboon IL-6 was increased significantly on day 1 after transplantation and at euthanasia (both p<0.05) and correlated with serum creatinine and SAA (r=0.59, p<0.001, r=0.58, p<0.01; respectively). but no difference was observed between rejection and infection. Levels of serum pig IL-6, TNF-α, IL-1ß were also significantly increased on day 1 and at euthanasia, and serum pig IL-6 and IL-1ß correlated with serum creatinine and SAA. The level of serum baboon IL-6 correlated with the expression of IL-6 and amyloid A in the baboon liver (r=0.93, p<0.01, r=0.79, p<0.05; respectively). Conclusion: Early upregulation of SAA and serum IL-6 may indicate the development of rejection or infection, and are associated with impaired kidney graft function. Detection and prevention of systemic inflammation may be required to prevent pig kidney xenograft failure after xenotransplantation.

Dicke state generation via selective interactions in a Dicke-Stark model.

We propose a method to create selective interactions with Dicke-Stark model by means of a time-dependent perturbation theory. By choosing the proper rotating framework, we find that the time oscillating terms depend on the number of atomic excitations and the number of photonic excitations. Consequently, the Rabi oscillation between selective states can be realized by properly choosing the frequency of the two-level system. The second order selective interactions can also be studied with this method. Then various states, such as Dicke states, superposition of Dicke states and GHZ states, can be created by means of such selective interactions. The numerical results show that high fidelity Dicke states and Greenberger-Horne-Zeilinger states can be created by choosing the proper frequency of the two-level system and controlling the evolution time.

One-step implementation of Toffoli gate for neutral atoms based on unconventional Rydberg pumping.

Compared with the idea of universal quantum computation, a direct synthesis of a multiqubit logic gate can greatly improve the efficiency of quantum information processing tasks. Here we propose an efficient scheme to implement a three-qubit controlled-not (Toffoli) gate of neutral atoms based on unconventional Rydberg pumping. By adjusting the strengths of Rabi frequencies of driving fields, the Toffoli gate can be achieved within one step, which is also insensitive to the fluctuation of the Rydberg-Rydberg interaction. Considering different atom alignments, we can obtain a high-fidelity Toffoli gate at the same operation time ∼7 µs. In addition, our scheme can be further extended to the four-qubit case without altering the operating time.

Surgical outcomes and survival for T4 gastric cancer extending to the transverse colon.

BACKGROUND: For the treatment of locally advanced (T4) gastric cancer, extended multi-organ resection remains controversial. This study aimed to evaluate the surgical outcomes and survival of patients with T4 gastric cancer extending to the transverse colon. METHODS: A total of 2,652 gastric cancer patients underwent surgery between December 2011 and December 2015. Data from 40 of these patients who underwent curative resection for T4 gastric cancer extending to the transverse colon were obtained. Patient characteristics, related complications, long-term survival, and prognostic factors for T4 gastric cancer were analyzed. RESULTS: Postoperative morbidity occurred in 5 (12.5%) patients. All of the patients were cured with conservative treatment. No procedure-related mortality occurred. The 1-, 3-, and 5-year overall survival (OS) rates were 75.0%, 49.2%, and 36.9%, respectively, with a median survival time of 24 months. Univariate analysis revealed tumor size (P=0.049), advanced T stage (P=0.013), and lymph node metastasis (P=0.006) to be poor prognostic factors of OS. Advanced T stage and lymph node metastasis were identified by multivariate analysis as being independent prognostic factors. Further, it was observed that lymph node metastasis grade was associated with poorer OS. CONCLUSIONS: Patients with T4 gastric cancer extending to the transverse colon might benefit from curative resection with acceptable morbidity and mortality.

Edge detection based on joint iteration ghost imaging.

Imaging and edge detection have been widely applied and played an important role in security checking and medical diagnosis. However, as we know, most edge detection based on ghost imaging system requires large measurement times and the target object image cannot be provided directly. In this work, a new edge detection based on joint iteration of projected Landweber iteration regularization and guided filter ghost imaging method has been proposed, which can improve the feature detection quality in ghost imaging. This method can also achieve high-quality imaging. Simulation and experiment results show that the spatial information and edge information of target object are successfully recovered from the random speckle patterns without special coding under a low measurement times, and the edge image quality is improved remarkably. This approach improves the the applicability of ghost imaging and can satisfy the practical application fields of imaging and edge detection at the same time.

Author Correction: Multi-qubit Quantum Rabi Model and Multi-partite Entangled States in a Circuit QED System.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

Inhibition of LTA4H by bestatin in human and mouse colorectal cancer.

BACKGROUND: Our preclinical data showed that the leukotriene A4 hydrolase (LTA4H) pathway plays a role in colorectal cancer (CRC). High expression of LTA4H and leukotriene B4 receptor type 1 (BLT1) were also associated with CRC survival probability. Clinical samples were evaluated to determine whether LTA4H could serve as a therapeutic target and whether leukotriene B4 (LTB4) could be used as a biomarker for evaluating the efficacy of bestatin in CRC. METHODS: Patients with Stage I-III CRC did or did not receive bestatin prior to surgery. Evaluable pairwise CRC patient blood samples were collected to evaluate LTB4 concentration. Tissues were processed by immunohistochemistry to detect the LTA4H pathway and Ki-67 expression. We also determined whether LTA4H or BLT1 was associated with CRC survival probability and explored the mechanism of bestatin action in CRC. FINDINGS: Samples from 13 CRC patients showed a significant decrease in LTB4, the LTA4H signaling pathway, and Ki-67 in the bestatin-treated group compared with the untreated group. LTA4H and BLT1 are overexpressed in CRC and associated with CRC survival probability. Bestatin effectively inhibited LTB4 and tumorigenesis in the ApcMin/+ and CRC patient-derived xenograft mouse model. INTERPRETATION: These results demonstrate that LTB4 could serve as a biomarker for evaluating bestatin efficacy in CRC and the antitumor effects of bestatin through its targeting of LTA4H and support further studies focusing on LTA4H inhibition in CRC.

Simulating Anisotropic quantum Rabi model via frequency modulation.

Anisotropic quantum Rabi model is a generalization of quantum Rabi model, which allows its rotating and counter-rotating terms to have two different coupling constants. It provides us with a fundamental model to understand various physical features concerning quantum optics, solid-state physics, and mesoscopic physics. In this paper, we propose an experimental feasible scheme to implement anisotropic quantum Rabi model in a circuit quantum electrodynamics system via periodic frequency modulation. An effective Hamiltonian describing the tunable anisotropic quantum Rabi model can be derived from a qubit-resonator coupling system modulated by two periodic driving fields. All effective parameters of the simulated system can be adjusted by tuning the initial phases, the frequencies and the amplitudes of the driving fields. We show that the periodic driving is able to drive a coupled system in dispersive regime to ultrastrong coupling regime, and even deep-strong coupling regime. The derived effective Hamiltonian allows us to obtain pure rotating term and counter-rotating term. Numerical simulation shows that such effective Hamiltonian is valid in ultrastrong coupling regime, and stronger coupling regime. Moreover, our scheme can be generalized to the multi-qubit case. We also give some applications of the simulated system to the Schrödinger cat states and quantum gate generalization. The presented proposal will pave a way to further study the stronger anisotropic Rabi model whose coupling strength is far away from ultrastrong coupling and deep-strong coupling regimes in quantum optics.

Multi-qubit Quantum Rabi Model and Multi-partite Entangled States in a Circuit QED System.

Multi-qubit quantum Rabi model, which is a fundamental model describing light-matter interaction, plays an important role in various physical systems. In this paper, we propose a theoretical method to simulate multi-qubit quantum Rabi model in a circuit quantum electrodynamics system. By means of external transversal and longitudinal driving fields, an effective Hamiltonian describing the multi-qubit quantum Rabi model is derived. The effective frequency of the resonator and the effective splitting of the qubits depend on the external driving fields. By adjusting the frequencies and the amplitudes of the driving fields, the stronger coupling regimes could be reached. The numerical simulation shows that our proposal works well in a wide range of parameter space. Moreover, our scheme can be utilized to generate two-qubit gate, Schrödinger states, and multi-qubit GHZ states. The maximum displacement of the Schrödinger cat states can be enhanced by increasing the number of the qubits and the relative coupling strength. It should be mention that we can obtain high fidelity Schrödinger cat states and multi-qubit GHZ states even the system suffering dissipation. The presented proposal may open a way to study the stronger coupling regimes whose coupling strength is far away from ultrastrong coupling regimes.

Resveratrol suppresses colon cancer growth by targeting the AKT/STAT3 signaling pathway.

Colon cancer is a common type of cancer worldwide and accounts for a significant number of cancer­related deaths. Although surgical techniques and treatment strategies for colon cancer have advanced over the past two decades, the prognosis has not improved considerably. Resveratrol, a natural stilbene compound, possesses antioxidant, cardioprotective and anticancer properties. However, the role of resveratrol in colon cancer has not been fully elucidated. The present study demonstrated that resveratrol inhibited cell proliferation and colony growth in DLD1 and HCT15 colon cancer cells, but did not affect normal colon epithelial cells. The resveratrol­mediated inhibition of cell proliferation correlated with an induction of apoptosis and with G1 phase cell cycle arrest in colon cancer cells. Additionally, resveratrol treatment decreased the protein expression levels of cyclin D1, cyclin E2 and BCL2 apoptosis regulator, while it increased BCL2 associated X and tumor protein p53, all of which are involved in the regulation of cell cycle and apoptosis. Notably, the results obtained from in silico computational screening identified AKT serine/threonine kinase 1 (AKT1) and AKT2 as novel targets of resveratrol. Computational docking suggested that there are three or four possible hydrogen bonds in the active pocket of AKT1 and AKT2 that contribute to the mode of action of resveratrol. The present study confirmed that resveratrol bound to AKT1 and AKT2 with a pull­down assay. Furthermore, knockdown of AKT1 and AKT2 inhibited cell proliferation and colony growth, by attenuating cell cycle progression and increasing apoptosis in colon cancer cells, effects that were similar to those caused by resveratrol treatment. Taken together, the present results suggest that the targeting effects of resveratrol to AKT1 and AKT2 may be a potent strategy for chemoprevention or therapy for colon cancer.

Recombinant adenovirus expressing a dendritic cell-targeted melanoma surface antigen for tumor-specific immunotherapy in melanoma mice model.

Viral vectors represent a potential strategy for the treatment of human malignant tumors. Currently, recombinant adenovirus vectors are commonly used as gene therapy vehicles, as it possesses a proven safety profile in normal human cells. The recombinant adenovirus system has an ability to highly express exogenous genes and increase the stability of the carrier, which is only transiently expressed in the host cell genome, without integrating. Malignant melanoma cells are produced by the skin, and melanocyte tumors that exhibit higher malignant degrees lead to earlier transfer and higher mortality. In the present study, a recombinant adenovirus (rAd) was generated to express Anti-programmed death-1 (rAd-Anti-PD-1) and used to investigate the efficacy in melanoma cells and tumors. The results demonstrated that B16-F10 cell growth was significantly inhibited and the apoptosis incidence rate was markedly promoted following rAd-PD-1 treatment. The present study demonstrated that the production of α and ß interferon was increased, which led to the induction of dendritic cell (DCs) maturation in rAd-anti-PD-1-treated mice. The present study indicated that rAd-anti-PD-1 exhibited the ability to generate more cluster of differentiation (CD)4+CD8+ T cells and induce a PD-1-specific cytotoxic T lymphocyte through DC-targeted surface antigens in mice. This resulted in a further enhanced recognition of melanoma cells due to DCs being targeted by the rAd-anti-PD-1-encoded PD-1. Notably, mice treated with the rAd-anti-PD-1-targeted PD-1 demonstrated an improved protection compared with tumor-bearing mice from the challenge group treated with a recombinant gutless adenovirus and Anti-PD-1. In conclusion, the present study demonstrated that targeting the melanoma surface antigens via the rAd-anti-PD-1-infected tumor cells enhanced the ability of recombinant adenovirus to induce a potent tumor-inhibitory effect and antigen-specific immune response.

Downregulation of RFX1 predicts poor prognosis of patients with small hepatocellular carcinoma.

OBJECTIVE: Regulatory factor X1 (RFX1) deletion has been reported to be correlated with poor prognosis of some types of cancer. The present study aimed to investigate the prognostic value of RFX1 in HCC, especially in small hepatocellular carcinoma. METHODS: Immunohistochemical assay was used to investigate RFX1 expression in 221 HCC tissues and another validation cohort of 71 small HCC samples. We also performed in vitro experiments to investigate if RFX1 regulated invasive capacity of HCC cells and expression of epithelial-mesenchymal transition (EMT) markers. RESULTS: We found that RFX1 expression was significantly lower in HCC tissues compared to the corresponding non-tumor tissues. Further survival analysis suggested that the downregulation of RFX1 correlated with poor prognosis and a high recurrence risk in HCC patients, particularly in small HCC patients. Furthermore, another validation cohort of small HCC samples confirmed that downregulation of RFX1 in HCC tissues predicted high recurrence risk and poor prognosis for early stage HCC patients. In vitro studies suggested that knocking down RFX1 facilitated HCC cell invasion, while overexpression of RFX1 reduced the invasion of HCC cells. Western blot assays also indicated that RFX1 regulated expression of some EMT markers. Knocking down RFX1 decreased E-cadherin and increased vimentin expression, while RFX1 overexpression enhanced E-cadherin and decreased vimentin expression. CONCLUSIONS: Our study demonstrated that RFX1 downregulation is a new predictive marker of high recurrence risk and poor prognosis of HCC; It has potential to help guide treatment for postoperative HCC patients, especially for small HCC patients.

[A scoring system to predict the risk of anastomotic leakage in patients with patients with rectal cancer older than 60 years].

OBJECTIVE: To establish a scoring system to predict the risk of anastomotic leakage in patients with rectal cancer older than 60 years. METHODS: The study included 995 patients (≥60 years) with rectal cancer locating 3-12 cm from the anal verge who underwent anterior resection or intersphincteric resection at the Department of General Surgery, Henan Cancer Hospital from January 2012 to December 2016. Potential risk factors for leakage were subjected to univariate analysis. Multivariate logistic regression analysis was used to identify the independent risk factors for anastomotic leakage. The scoring system was developed based on regression coefficient for each significant risk factor. One point was allocated to the risk factor with a regression coefficient ß<1, and two points were allocated to the risk factor with ß>1. The proposed scoring system was tested by the area under curve (AUC) of the receiver operating characteristic curve (ROC). RESULTS: Surgery was successfully performed in all 995 patients. The incidence of anastomotic fistula was 4.6%(46/995). Among these 46 patients, 31 recovered after conventional treatment, and 13 patients underwent transverse colostomy,and 2 died of multiple organ failure. Independent risk factors included age (ß=0.643, OR=1.902, 95%CI: 1.020-3.614, P=0.048), body mass index(BMI) (ß=1.218, OR=3.379, 95%CI: 1.607-7.105, P=0.001), albumin levels (ß=0.986, OR=2.681, 95%CI: 1.432-5.021, P=0.002), and level of anastomosis from the anal verge (ß=1.395, OR=4.034, 95%CI: 2.086-7.801, P=0.000). The scoring system was created base on coefficient ß of the independent risk factors (age≥70 years for 1, BMI≥25 kg/m2 for 2, albumin levels <35 g/L for 1, level of anastomosis from anal verge <4.0 cm for 2). All the scores were added up, and all patients were divided into the high-risk group(4-6 points, n=71) and intermediate-low-risk group(0-3 points, n=924) based on the scoring system. The incidence of anastomotic leakage in the two groups was 23.9%(17/71) and 3.1%(29/924), respectively (χ2=60.092, P=0.000). The AUC of age, BMI, albumin levels, and level of anastomosis from the anal verge were 0.598, 0.591, 0.622, and 0.635 respectively. The AUC of the scoring system was 0.656, which was higher than above parameters with a sensitivety of 0.37 and specificity of 0.94. CONCLUSIONS: The scoring system is effective and accurate for identifying a subgroup at high risk for postoperative anastomotic leakage in rectal cancer patients over 60 years old.