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- 저자 : Caijin Jin (검색결과 3 건)
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Jiayi Wu,Shuning Ding,Linling Yin,Xiaochun Fei,Caijin Lin,Lisa Andriani,Chihwan Goh,Jiahui Huang,Jin Hong,Weiqi Gao,Siji Zhu,Hui Wang,Ou Huang,Xiaosong Chen,Jianrong He,Yafen Li,Kunwei Shen,Weiguo Che 대한암학회 2020 Cancer Research and Treatment Vol.52 No.3
Purpose This retrospective study aimed to evaluate the distribution pattern and prognostic value of 21-gene recurrence score (RS) in Chinese patients with mucinous breast cancer (MC) and compared with infiltrating ductal carcinoma (IDC). Materials and Methods Patients diagnosed with MC or IDC from January 2010 to January 2017 were retrospectively recruited. Reverse transcriptase–polymerase chain reaction assay of 21 genes was conducted to calculate the RS. Univariate and multivariate analyses were performed to assess the association between RS and clinicopathological factors. Survival outcomes including disease-free survival (DFS) and overall survival (OS) were estimated by Kaplan-Meier method and compared by log-rank test. Results The MC cohort included 128 patients and the IDC cohort included 707 patients. The proportions of patients with a low (RS < 18), intermediate (18-30), or high risk (RS > 30) were 32.0%, 48.4%, and 19.5% in MC cohort, and 26.9%, 46.8% and 26.3% in IDC cohort. The distribution of RS varied significantly according to different Ki-67 index and molecular subtype in both cohorts. Moreover, the receipt of chemotherapy was associated with RS in both cohorts. Among patients with MC, tumor stage was related to the DFS (p=0.040). No significant differences in DFS and OS were found among MC patients in different RS risk groups (OS, p=0.695; DFS, p=0.926). Conclusion RS was significantly related to Ki-67 index and molecular subtypes in MC patients, which is similar in IDC patients. However, RS was not able to predict DFS and OS in patients with MC.
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A graphene‑based highly sensitive aptasensor for the detection of lung cancer marker CA125
Junnan Chen,Lingmin Yu,Wenzhen Xu,Tao Lin,Sicong Jiang,Caijin Jin 한국탄소학회 2023 Carbon Letters Vol.33 No.6
Graphene-based sensors have emerged as significant tools for biosensing applications due to their unique electrical, mechanical, and thermal properties. In this study, we have developed an innovative and sensitive aptasensor based on the surfacemodified graphene for the detection of lung cancer biomarker CA125. The sensor leverages the combination of graphene surface and gold nanoparticles (AuNPs) electrodeposition to achieve a high level of sensitivity and selectivity for the biomarker detection. A noticeable decrease in electron transfer resistance was observed upon the AuNPs deposition, demonstrating the enhancement of electrochemical performance. Our experimental findings showed a strong linear relationship between the sensor response and CA125 concentrations, ranging from 0.2 to 15.0 ng/mL, with a detection limit of 0.085 ng/ mL. This study presents a novel approach to lung cancer detection, surpassing the traditional methods in terms of invasiveness, cost, and accuracy. The results from this work could pave the way for the development of graphene-based sensors in various other biosensing applications.
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Cai Jin,Wu Xusheng,Sun Pan,Sun Jun,Xiong Qiao 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.6
To obtain high effi ciency and reduced EMI in the inductive power transfer (IPT) system, it is crucial to understand the zerovoltage-switching (ZVS) control of the inverter. The frequency tracking method is usually adopted to achieve ZVS operation. However, the eff ect of frequency bifurcation in the series-inductor-capacitor-capacitor (S-LCC) system results in frequency tracking failure. To solve this problem, this paper proposes a parameter optimization design for the S-LCC system to achieve ZVS operation under the dynamic coupling coeffi cient. The analytical solution of the bifurcation frequency of the S-LCC system and the boundary conditions of the frequency bifurcation are derived through the fundamental harmonic model. Based on this boundary condition, a parameter design strategy with no frequency bifurcation under the dynamic coupling coeffi cient is established. The maximum critical coupling coeffi cient of the system is obtained by numerical analysis. Then, a frequency tracking strategy based on a phase-locked loop is given to realize ZVS control. Within the critical coupling coeffi cient, frequency bifurcation does not occur in the S-LCC topology. Finally, a 2 kW test prototype is built up to verify the feasibility of the theory.
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