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| 1 | Serum semaphorin 4C as a diagnostic biomarker in breast cancer:A multicenter retrospective study显示文摘Background:To date,there is no approved blood-based biomarker for breast cancer detection.Herein,we aimed to assess semaphorin 4C(SEMA4C),a pivotal protein involved in breast cancer progression,as a serum diagnostic biomarker.Methods:We included 6,213 consecutive inpatients from Tongji Hospital,Qilu Hospital,and Hubei Cancer Hospital.Training cohort and two validation cohorts were introduced for diagnostic exploration and validation.A pan-cancer cohort was used to independently explore the diagnostic potential of SEMA4C among solid tumors.Breast cancer patients who underwent mass excision prior to modified radical mastectomy were also analyzed.We hypothesized that increased pretreatment serum SEMA4C levels,measured using optimized in-house enzymelinked immunosorbent assay kits,could detect breast cancer.The endpoints were diagnostic performance,including area under the receiver operating characteristic curve(AUC),sensitivity,and specificity.Post-surgery pathological diagnosis was the reference standard and breast cancer staging followed the TNM classification.There was no restriction on disease stage for eligibilities.Results:We included 2667 inpatients with breast lesions,2378 patients with other solid tumors,and 1168 healthy participants.Specifically,118 patients with breast cancer were diagnosed with stage 0(5.71%),620 with stage I(30.00%),966 with stage II(46.73%),217 with stage III(10.50%),and 8 with stage IV(0.39%).Patients with breast cancer had significantly higher serum SEMA4C levels than benign breast tumor patients and normal controls(P<0.001).Elevated serum SEMA4C levels had AUC of 0.920(95%confidence interval[CI]:0.900–0.941)and 0.932(95%CI:0.911–0.953)for breast cancer detection in the two validation cohorts.The AUCs for detecting early-stage breast cancer(n=366)and ductal carcinoma in situ(n=85)were 0.931(95%CI:0.916–0.946)and 0.879(95%CI:0.832–0.925),respectively.Serum SEMA4C levels significantly decreased after surgery,and the reduction was more striking after modified radical mastectomy,compared with mass excision(P<0.001).The positive rate of enhanced serum SEMA4C levels was 84.77%for breast cancer and below 20.75%for the other 14 solid tumors.Conclusions:Serum SEMA4C demonstrated promising potential as a candidate biomarker for breast cancer diagnosis.However,validation in prospective settings and by other study groups is warranted. | Ya Wang Long Qiao Jie Yang Xiong Li Yaqi Duan Jiahao Liu Shaoqi Chen Huayi Li Dan Liu Tian Fang Jingjing Ma Xiaoting Li Fei Ye Junxiang Wan Juncheng Wei Qin Xu Ensong Guo Ping Jin Mingfu Wu Lin Zhang Yun Xia Yaqun Wu Jun Shao Yaojun Feng Qing Zhang Zongyuan Yang Gang Chen Qinghua Zhang Xingrui Li Shixuan Wang Junbo Hu Xiaoyun Wang Mona P.Tan Kazuaki Takabe Beihua Kong Qifeng Yang Ding Ma Qinglei Gao | 2021 | Cancer Communications2021，41，12： | 3 |
| 2 | Enhanced hydrogen production by insertional inactivation of adhE gene in Klebsiella oxytoca HP1显示文摘Ethanol is the main byproduct of anaerobic H2-producing fermentation in Klebsiella oxytoca HP1. Two moles of NAD(P)H are consumed to yield one mole of ethanol that may decrease bacterial hydrogen production. In this article the adhE gene that codes for acetaldehyde dehydrogenase was disrupted for the first time. A homologous recombination vector pTA-Str was constructed in which the adhE gene was disrupted by inserting an aminoglycoside-3'-adenyltransferase (aadA) gene. As expected, the vector includes the insertion 5′-adhE-aadA-adhE-3′. The amplified DNA fragment 5′-adhE-aadA-adhE-3′ from pTA-Str was transformed into K. oxytoca HP1 and one recombinant was obtained. PCR analysis of the resulting genomic DNA indicated the appropriate deletion and insertion. Compared with the H2-production of wild type K. oxytoca HP1, the hydrogen yield of the mutant increased by 16.07% and ethanol concentration decreased by 77.47%, suggesting that inactivation of the adhE gene in K. oxy- toca HP1 is a potential method for enhancing bacterial H2-production. | ZHU JunBo LONG MinNan XU Fangcheng WU XiaoBing XU HuiJuan | 2007 | Chinese Science Bulletin2007，52，4： | 2 |
| 3 | Applications of Fractional Lower Order Time-frequency Representation to Machine Bearing Fault Diagnosis显示文摘The machinery fault signal is a typical non-Gaussian and non-stationary process. The fault signal can be described by SaS distribution model because of the presence of impulses.Time-frequency distribution is a useful tool to extract helpful information of the machinery fault signal. Various fractional lower order(FLO) time-frequency distribution methods have been proposed based on fractional lower order statistics, which include fractional lower order short time Fourier transform(FLO-STFT), fractional lower order Wigner-Ville distributions(FLO-WVDs), fractional lower order Cohen class time-frequency distributions(FLO-CDs), fractional lower order adaptive kernel time-frequency distributions(FLO-AKDs) and adaptive fractional lower order time-frequency auto-regressive moving average(FLO-TFARMA) model time-frequency representation method.The methods and the exiting methods based on second order statistics in SaS distribution environments are compared, simulation results show that the new methods have better performances than the existing methods. The advantages and disadvantages of the improved time-frequency methods have been summarized.Last, the new methods are applied to analyze the outer race fault signals, the results illustrate their good performances. | Junbo Long Haibin Wang Peng Li Hongshe Fan | 2017 | IEEE/CAA Journal of Automatica Sinica2017，4，4： | 2 |
| 4 | Pseudo cohen time-frequency distributions in infinite variance noise environment显示文摘 | Wang Haibin Long Junbo Zha Daifeng | 2013 | Applied Mechanics and Materials2013，，： | 1 |
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