The synergistic effect of EMT regulators and m6A modification on prognosis-related immunological signatures for ovarian cancer.

Recently, there has been growing interest among researchers in exploring the effects of epithelial-mesenchymal transformation (EMT) or N6-Methyladenosine (m6A) modification regulators on tumor development. However, the synergistic efficiency of these regulators in relation to ovarian cancer development remains unclear. This study aims to explore the transcription patterns of main regulators, including 19 EMT and 22 m6A, in ovarian cancer samples from TCGA datasets and normal samples from GTEx datasets. After conducting a LASSO regression analysis, ten prognostic signatures were identified, namely KIAA1429, WTAP, SNAI1, AXL, IGF2BP1, ELAVL1, CBLL1, CDH2, NANOG and ALKBH5. These signatures were found to have a comprehensive effect on immune infiltrating signatures and the final prognostic outcome. Next, utilizing the ssGSEA algorithm and conducting overall survival analyses, we have identified the key prognosis-related immunological signatures in ovarian cancer to be ALKBH5, WTAP, ELAVL1, and CDH2 as the regulators. The characteristic immune response and related genetic expression have revealed a significant correlation between the alteration of m6A regulators and EMT regulators, indicating a synergistic effect between these two factors in the development of ovarian cancer. In summary, our research offers a novel perspective and strategy to enhance the occurrence, progression, and prognosis of ovarian cancer.

Epidemiological parameters of COVID-19 and its implication for infectivity among patients in China, 1 January to 11 February 2020.

BackgroundThe natural history of disease in patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remained obscure during the early pandemic.AimOur objective was to estimate epidemiological parameters of coronavirus disease (COVID-19) and assess the relative infectivity of the incubation period.MethodsWe estimated the distributions of four epidemiological parameters of SARS-CoV-2 transmission using a large database of COVID-19 cases and potential transmission pairs of cases, and assessed their heterogeneity by demographics, epidemic phase and geographical region. We further calculated the time of peak infectivity and quantified the proportion of secondary infections during the incubation period.ResultsThe median incubation period was 7.2 (95% confidence interval (CI): 6.9‒7.5) days. The median serial and generation intervals were similar, 4.7 (95% CI: 4.2‒5.3) and 4.6 (95% CI: 4.2‒5.1) days, respectively. Paediatric cases < 18 years had a longer incubation period than adult age groups (p = 0.007). The median incubation period increased from 4.4 days before 25 January to 11.5 days after 31 January (p < 0.001), whereas the median serial (generation) interval contracted from 5.9 (4.8) days before 25 January to 3.4 (3.7) days after. The median time from symptom onset to discharge was also shortened from 18.3 before 22 January to 14.1 days after. Peak infectivity occurred 1 day before symptom onset on average, and the incubation period accounted for 70% of transmission.ConclusionThe high infectivity during the incubation period led to short generation and serial intervals, necessitating aggressive control measures such as early case finding and quarantine of close contacts.

Additive hazards model with auxiliary subgroup survival information.

The semiparametric additive hazards model is an important way for studying the effect of potential risk factors for right-censored time-to-event data. In this paper, we study the additive hazards model in the presence of auxiliary subgroup [Formula: see text]-year survival information. We formulate the known auxiliary information in the form of estimating equations, and combine them with the conventional score-type estimating equations for the estimation of the regression parameters based on the maximum empirical likelihood method. We prove that the new estimator of the regression coefficients follows asymptotically a multivariate normal distribution with a sandwich-type covariance matrix that can be consistently estimated, and is strictly more efficient, in an asymptotic sense, than the conventional one without incorporation of the available auxiliary information. Simulation studies show that the new proposal has substantial advantages over the conventional one in terms of standard errors, and with the accommodation of more informative information, the proposed estimator becomes more competing. An AIDS data example is used for illustration.

Three-Dimensional Ameliorated Biologics Elicit Thymic Renewal in Tumor-Bearing Hosts.

Cancer-initiating/sustaining stem cell subsets (CSCs) have the potential to regenerate cancer cell populations and are resistant to routine therapeutic strategies, thus attracting much attention in anticancer research. In this study, an innovative framework of endogenous microenvironment-renewal for addressing such a dilemma has been just developed. CSCs in three-dimensional multipotent spheroid-engineered biologics were prepared with 150 Gy radiation and inoculated into 15-mo-old BALB/c and C57BL/6 mice bearing diverse advanced tumors covering Mammary 4T1, liver Hepa, lung LL/2, and colon C26 tumors and distant metastases. Subsequently, the systematic microenvironment of tumor-bearing hosts was rapidly remodeled to resettle thymic cortex and medulla rudiment as an endogenous foxn1-thymosin reprogramming TCR-repertoire for resetting MHC-unrestricted multifunction renewal. Postrenewal Vγ4γδT-subsets would bind and lead migrating CSCs into apoptosis. Moreover, TCR repertoire multifunction renewal could reverse tumor metastases from tumoricidal resistance into eventual regression as a blockade of cancer-sustaining Bmi-1/Nanog-Oct4-Sox2 renewal loop with sequent multivalent depletion of both migrating/in situ CSCs and non-stem terminal cancer cell subsets. This study represents a promising start to set up a generalizable strategy of three-dimensional biologics evoking an endogenous integral microenvironment into pluripotent renewal versus advanced cancer.

Focused Information Criterion and Model Averaging with Generalized Rank Regression.

Generalized rank regression, which is a class of weighted rank regression with weights based on factor space, provides a powerful tool for conducting robust estimation. In this article, we first establish the asymptotic properties of generalized rank regression under local model misspecification. We then apply the generalized rank regression to the focus information criterion and frequentist model averaging and establish their properties.

Antitumor activity of pluripotent cell-engineered vaccines and their potential to treat lung cancer in relation to different levels of irradiation.

Cancer stem cells (CSCs) are critical for tumor initiation/maintenance and recurrence or metastasis, so they may serve as a potential therapeutic target. However, CSC-established multitherapy resistance and immune tolerance render tumors resistant to current tumor-targeted strategies. To address this, renewable multiepitope-integrated spheroids based on placenta-derived mesenchymal stem cells (pMSCs) were X-ray-modified, at four different irradiation levels, including 80, 160, 240, and 320 Gy, as pluripotent biologics, to inoculate hosts bearing Lewis lung carcinoma (LL2) and compared with X-ray-modified common LL2 cells as control. We show that the vaccines at the 160/240 Gy irradiation levels could rapidly trigger tumor cells into the apoptosis loop and evidently prolong the tumor-bearing host's survival cycle, in contrast to vaccines irradiated at other levels (P<0.05), with tumor-sustaining stromal cell-derived factor-1/CXCR4 pathway being selectively blockaded. Meanwhile, almost no or minimal toxicity was detected in the vaccinated hosts. Importantly, 160/240 Gy-irradiated vaccines could provoke significantly higher killing of CSCs and non-CSCs, which may provide an access to developing a novel biotherapy against lung carcinoma.

Selective oxidation of cyclohexane on a novel catalyst Mg-Cu/SBA-15 by molecular oxygen.

The novel catalysts xMg-2.3Cu/SBA-15 with copper and magnesium oxide co-supported on mesoporous silica were synthesized by an impregnation method. The newly synthesized catalysts were characterized using a series of techniques such as BET, XRD, H2-TPR, UV-vis, XPS, EDS and TEM. The catalytic performance was evaluated by using selective oxidation of cyclohexane with molecular oxygen as the oxidant in a solvent free system. The incorporation of magnesium improved the dispersion of copper oxide and prevented the deep oxidation of cyclohexanol and cyclohexanone. The selectivity of K/A oil was up to 99.3% with 12% conversion of cyclohexane over the 1.2Mg-2.3Cu/SBA-15 catalyst. To our knowledge, this is the best result for the heterogeneous oxidation of cyclohexane by O2.

Dimethyl Sulfoxide Suppresses Mouse 4T1 Breast Cancer Growth by Modulating Tumor-Associated Macrophage Differentiation.

PURPOSE: The universal organic solvent dimethyl sulfoxide (DMSO) can be used as a differentiation inducer of many cancer cells and has been widely used as a solvent in laboratories. However, its effects on breast cancer cells are not well understood. The aim of this study is to investigate the effect and associated mechanisms of DMSO on mouse breast cancer. METHODS: We applied DMSO to observe the effect on tumors in a mouse breast cancer model. Tumor-associated macrophages (TAMs) were tested by flow cytometry. Ex vivo tumor microenvironment was imitated by 4T1 cultured cell conditioned medium. Enzyme-linked immunosorbent assays were performed to detect interleukin (IL)-10 and IL-12 expression in medium. To investigate the cytotoxicity of DMSO on TAMs, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays were performed. RESULTS: We found that DMSO produced tumor retardation when injected into mouse peritoneal cavities in a certain concentration range (0.5-1.0 mg/g). Furthermore, as detected by flow cytometry, TAM subtypes were found to be transformed. We further imitated a tumor microenvironment in vitro by using 4T1 cultured cell conditioned medium. Similarly, by using low concentration DMSO (1.0%-2.0% v/v), TAMs were induced to polarize to the classically activated macrophage (M1-type) and inhibited from polarizing into the alternatively activated macrophage (M2-type) in the conditioned medium. IL-10 expression in tumors was reduced, while IL-12 was increased compared with the control. Furthermore, we reported that 2.0% (v/v) DMSO could lead to cytotoxicity in peritoneal macrophages after 48 hours in MTT assays. CONCLUSION: Our findings suggest that DMSO could exert antitumor effects in 4T1 cancer-bearing mice by reversing TAM orientation and polarization from M2- to M1-type TAMs. These data may provide novel insight into studying breast cancer immunotherapy.

Inhibition of tumor growth and alteration of associated macrophage cell type by an HO-1 inhibitor in breast carcinoma-bearing mice.

Heme oxygenase-1 [HO-1, also called heat shot protein 32 (HSP32)] can specifically metabolize heme to carbon monoxide, biliverdin, and ferrous iron and plays an important role in the processes of anti-inflammation, tissue protection, and antioxidative stress reaction. It has been reported that HO-1 can promote tumorigenesis and metastasis of many tumors. However, the detailed mechanisms of how HO-1 affects tumor progress are not clear. Here, we used ZnPPIX (a specific inhibitor of HO-1) to evaluate its potential effects on mouse breast cancer and tumor-associated macrophages (TAMs). We found out that mouse 4T1 breast cancer growth can be effectively suppressed through inhibition of HO-1 in vitro and in vivo. Moreover, in the 4T1 mouse model, when HO-1 was suppressed in TAMs, alternatively activated macrophages (M2 type) switched to classically activated macrophages (M1 type). In conclusion, 4T1 breast cancer growth was modulated by HO-1 expression. Furthermore, inhibition of HO-1 may induce tumor-associated immune response by activating TAMs' alternative proliferation. These data suggest that HO-1 may be an important target of breast cancer treatment.

[Ca2+ and sperm function].

Ca2+ is an important positive ion in the living body. Recently, there have been quite a few reports about the function of Ca2+ in sperm. Calcium is considered as a regulator of sperm motility, a participant in sperm capacitation, and an essential second messenger for acrosome reaction. This paper reviews the relationship of Ca2+ with sperm function.