Analysis of CEA Expression and EGFR Mutation Status in Non-small Cell Lung Cancers

Yang, Zhong-Ming,Ding, Xian-Ping,Pen, Lei,Mei, Lin,Liu, Ting Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.8

Background: The serum carcinoembryonic antigen (CEA) level can reflect tumor growth, recurrence and metastasis. It has been reported that epidermal growth factor receptor (EGFR) mutations in exons 19 and 21may have an important relationship with tumor cell sensitivity to EGFR-TKI therapy. In this study, we investigated the clinical value of EGFR mutations and serum CEA in patients with non-small cell lung cancer (NSCLC). Materials and Methods: The presence of mutations in EGFR exons 19 and 21 in the tissue samples of 315 patients with NSCLC was detected with real-time fluorescent PCR technology, while the serum CEA level in cases who had not yet undergone surgery, radiotherapy, chemotherapy and targeted therapy were assessed by electrochemical luminescence. Results: The mutation rates in EGFR exons 19 and 21 were 23.2% and 14.9%, respectively, with the two combined in 3.81%. Measured prior to the start of surgery, radiotherapy, chemotherapy and targeted treatment, serum CEA levels were abnormally high in 54.3% of the patients. In those with a serum CEA level <5 ng/mL, the EGFR mutation rate was 18.8%, while with 5~19 ng/mL and ${\geq}20ng/mL$, the rates were 36.4% and 62.5%. In addition, in the cohort of patients with the CEA level being 20~49 ng/mL, the EGFR mutation rate was 85.7%, while in those with the CEA level ${\geq}50ng/mL$, the EGFR mutation rate was only 20.0%, approximately the same as in cases with the CEA level<5 ng/mL. Conclusions: There is a positive correlation between serum CEA expression level and EGFR mutation status in NSCLC patients, namely the EGFR mutation-positive rate increases as the serum CEA expression level rises within a certain range (${\geq}20ng/mL$, especially 20~49 ng/mL). If patient samples are not suitable for EGFR mutation testing, or cannot be obtained at all, testing serum CEA levels might be a simple and easy screening method. Hence, for the NSCLC patients with high serum CEA level (${\geq}20ng/mL$, especially 20~49 ng/mL), it is worthy of attempting EGFR-TKI treatment, which may achieve better clinical efficacy and quality of life.

Utility of DNA barcoding for identification of common Vespa species (Hymenoptera: Vespidae) from Yunnan, China

Wang Ming‐Ming,Yin Peng‐Kai,Tang Ya‐Ni,Yang Zi‐Zhong,Xiao Huai,Zhang Cheng‐Gui,Yang Yin‐He,Yang Da‐Song 한국곤충학회 2022 Entomological Research Vol.52 No.3

As traditional Chinese medicine and edible insects, Ve s p a hornets have high economic value and huge market demand. Hornet breeding has become an important way to increase the income of mountain farmers in China, but the limitation of traditional identification methods has become the bottleneck of the modern development of hornet resources. In this study, a simple and reliable method for the molecular identification of typical hornets from Yunnan was successfully established. In the NCBI database, DNA sequences of hornet samples were aligned as Vespa analis, Ve s p a b a s a l i s , Vespa velutina, Vespa mandarinia, Ve s p a m a g n i f i c a , Ve s p a b i n g h a m i , Ve s p a s o r o r by BLAST search. The efficiency of the PCR amplification of mitochondrial cytochrome C oxidase I (COI) gene sequences in all samples was 100% by using the optimized program. Moreover, a reference database for DNA barcodes of Vespa materials in Yunnan was constructed. This study provided a successful example for the identification of local insects of Yunnan and will be helpful to the development of wasp resources.

Privet golden leaves adapt unexpectedly well to light changes

Ming Yuan,Bo Huang,Li-Hua Dong,Qiao-Hong Han,Yong Yang,Chun-Bang Ding,Chao Hu,Yang-Er Chen,Zhong-Wei Zhang,Shu Yuan 한국원예학회 2020 Horticulture, Environment, and Biotechnology Vol.61 No.4

Golden-leaf privet ( Ligustrum × vicaryi ) is widely used as a horticultural shrub because of its upper golden leaves, butits lower leaves are green. However, the putative mechanisms of its upper golden leaves and the leaf color changes inresponse to light shifts have not been well studied so far. Here, chlorophylls (Chl), carotenoids, and Chl precursors from bothgolden and green leaves grown in full sunlight (approximately 1200 μmol photons m −2 s −1 at noon) or low-light conditions(180 μmol m −2 s −1 ) were determined spectrophotometrically. In addition, their gas exchange parameters and Chl fl uorescencewere measured in situ. Metabolic fl ux analysis of chlorophyll intermediates indicated that the conversion of prochlorophyllideto chlorophyllide was signifi cantly blocked in golden leaves when compared with green leaves. Green leaves showed higherphotosynthetic capacity in low light than golden leaves, but golden leaves presented unexpectedly stronger photosyntheticcapacity and lower reactive oxygen species accumulation under the high-light condition. Furthermore, golden leaves showeda higher level of nonphotochemical quenching (NPQ) after the light-to-dark shift and presented a stronger adaptive abilityto a broad range of light environments. Higher NPQ values and less oxidative damage in golden leaves may be correlatedwith their higher carotenoid levels. The results imply that lower chlorophyll levels and higher carotenoid levels in canopyleaves may help privet plants acclimate better to illumination changes. This study demonstrates the key role of irradiance ingenerating the two types of Ligustrum × vicaryi leaves and sheds a light on cultivation of other ornamental foliage plants.

Effect of Hierarchical Microstructures of Lath Martensite on the Transitional Behavior of Fatigue Crack Growth Rate

Ming Yang,Yi Zhong,Yi‑long Liang 대한금속·재료학회 2018 METALS AND MATERIALS International Vol.24 No.5

In this study, the fatigue-crack growth (FCG) behavior of 20CrMTiH steel with different substructure sizes was investigated. The results showed that coarsen microstructures exhibit excellent growth resistance. Moreover, two transitional behaviorswere observed in the FCG curves of all specimens. The fi rst transition point occurs in the near-threshold regime, whereasthe second transition point occurs in the Paris regime. A comparison of substructure size to cyclic plastic size showed thatthe block size is almost equal to cyclic plastic size at ΔK T1 , indicating that block size is an effective grain size to controlthe fi rst transitional behavior of fatigue-crack propagation, whereas the second transitional behavior is related to the packetwidth or grain size. According to the fracture morphology, the fracture mechanism above and below the transition pointresponsible for the above phenomenon were distinguished. In addition, two prediction models based on microstructure sizewere established for lath martensite to evaluate the threshold and stress intensity factor range at the transition point.

Identification and expression profiles of chitin deacetylase genes in the rice leaf folder, Cnaphalocrocis medinalis

Hai-Zhong Yu,Ming-Hui Liu,Xue-Yang Wang,Xin Yang,Wan-Ling Wang,Lei Geng,Dong Yu,Xue-Lan Liu,Gui-Ying Liu,Jia-Ping Xu 한국응용곤충학회 2016 Journal of Asia-Pacific Entomology Vol.19 No.3

Chitin deacetylase (CDA) is an insect chitin degradation enzyme that catalyzes the deacetylation of chitin to form chitosan. In this study, combination of rapid-amplification of cDNA ends (RACE) technology with Cnaphalocrocis medinalis transcriptome database analysis revealed the presence of at least five C. medinalis CDAs (CmCDAs), which were CmCDA1, CmCDA2, CmCDA4, CmCDA5, and CmCDA6. The cDNA sequences of CmCDA1, CmCDA2, and CmCDA4 hadwhole open reading frame (ORF) for further analysis. Phylogenetic analysis indicated that insect CDAs could be categorized into five groups. CmCDAs' structural domain analysis revealed that all three CDAs contained the chitin deacetylase-like catalytic domain. CmCDA1 and CmCDA2 belong to Group I because they both contain the chitin-binding peritrophin-A domain (ChBD), low-density lipoprotein receptor class A domain (LDLa), and chitin deacetylase-like catalytic domain. CmCDA4 only contains ChBD and chitin deacetylase-like catalytic domain thus belongs to Group III. Tissue and developmental stage expression analysis showed that the expression levels of CmCDA1, CmCDA2, and CmCDA4 are significantly higher in the head than other tissues and also significantly higher in adults than in larvae. CmCDA5 had significantly higher expression in the integument than other tissues, suggesting potential roles in the process of degradation of chitin. In contrast, CmCDA5 showed relatively high expression in larvae. In conclusion, this study analyzed the cDNA sequences of three CDA genes and determined their expression and molecular characteristics, which provided a new sequence resource and improved the development of bio-pesticides and the biological pest control and contributed to management of this important agricultural pest.

Adaptive Multiple MPC for a Wind Farm with DFIG

Xiao-ming LI,Xi ZHANG,Zhong-wei LIN,Yu-guang NIU,Ming-yang LI,Noel Vishal Nathan 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.5

For low investment and flexible control, doubly fed induction generator (DFIG) is becoming the dominant type that is been used in the wind farms (WFs) today. The report researches about the rotor-side controller of DFIG where all design is based on the single machine infinite bus (SMIB) model. The interactions between the different generators have not been considered in the SMIB model, and the desired performance cannot be obtained by using the controller based on this model. In this situation, an adaptive decentralized-coordinated multiple model predictive control (ADM-MPC) is proposed. First, the interaction measurement method is developed to obtain the interaction measurement model of DFIG, where the interactions between the different generators have been considered. Next, an adaptive multiple MPC based on the obtained interaction measurement method of DFIG is employed to control the rotor-side converter of DFIG. In order to cope with the stochastic disturbance of wind turbine, the augment state structure is employed to improve the tracking control performance. An artificial neural network (ANN) trained online is employed as a weighting controller to cope with the nonlinearities and large operating range of DFIG. A simple, generic renewable power system (RPS) is used to demonstrate contributions. The results of both dominant eigenvalue analysis and time response simulations are represented to illustrate contributions to system damping and transient stability that the DFIG based WF can make with the proposed ADM-MPC controller.

Comparative transcriptome analysis of ATP-binding cassette (ABC) transporter genes in eri-silkworm, Samia cynthia ricini in response to 1- deoxynojirimycin

Hai-Zhong Yu,Yan Ma,Shang-zhi Zhang,Dong-qiong Fei,Bing Liu,Li-ang Yang,Azharuddin Muhammad,Ming-hui Liu,Jia-Ping Xu 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.1

1-Deoxynojirimycin (DNJ) as a kind of alkaloid has been confirmed that could modulate glycometabolism andhas toxicity for the eri-silkworm in our previous research. On the contrary, what is the potentially defensivemechanism when the DNJ enters the eri-silkworm. Based on comparative transcriptome sequencing, we foundthat ATP-binding cassette (ABC) transporter genes could be induced significantly by DNJ. In this study, a total of16 putative ABC transporter genes were identified, which can be classified into seven subfamilies, namely oneABCA, four ABCBs, three ABCCs, two ABCDs, one ABCE, three ABCFs, and two ABCGs. Phylogenetic analysisrevealed that ScABCs had strong conservation with Bombyx mori. Reverse transcription quantitative PCR (RTqPCR)suggested that 6 ABC transporters had a strong positive correlation between RT-qPCR and transcriptomedata. Additionally, S. c. ricini ABC transporter C-subfamily 4 (ScABCC4), S. c. ricini ABC transporter G-subfamily4 (ScABCG4), S. c. ricini ABC transporter A-subfamily 3 (ScABCA3) and S. c. ricini ABC transporter C-subfamily10 (ScABCC10) showed different expression pattern in two feed dose (1% and 2% DNJ) and three time points(6h, 12 h, 48 h). This study provides the first study on identification, characterization and expression patterns ofABC transporter genes in S. c. ricini response to DNJ, and lays a foundation for further understanding of theirphysiological roles response to the alkaloid.

Adaptive Multiple MPC for a Wind Farm with DFIG: a Decentralized-Coordinated Approach

LI, Xiao-ming,ZHANG, Xi,LIN, Zhong-wei,NIU, Yu-guang,LI, Ming-yang,Nathan, Noel Vishal The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.5

Smad4 mediates malignant behaviors of human ovarian carcinoma cell through the effect on expressions of E-cadherin, plasminogen activator inhibitor-1 and VEGF

( Chen Chen ),( Ming Zhong Sun ),( Shu Qing Liu ),( Dong Mei Yeh ),( Li Jun Yu ),( Yang Song ),( Lin Lin Gong ),( Li Hong Hao ),( Jun Hu ),( Shu Juan Shao ) 생화학분자생물학회 (구 한국생화학분자생물학회) 2010 BMB Reports Vol.43 No.8

Smad4 is involved in cancer progression and metastasis. Using a pair of human syngeneic epithelial ovarian cancer cells with low (HO-8910) and high (HO-8910PM) metastatic abilities, we aimed to reveal the role of Smad4 in ovarian cancer metastasis in vitro. Smad4 was down-regulated in HO-8910PM cell line relative to HO-8910 by implicating Smad4 was probably a potential tumor suppressor gene for ovarian cancer. Re-expression of Smad4 decreased the migration ability and inhibited the invasion capacity of HO-8910PM, while promoted the cell adhesion capacity for HO-8910PM. The stable expression of Smad4 increased the expression of E-cadherin, reduced the expression of plasminogen activator inhibitor-1 (PAI-1) and slightly down-regulated the expression of VEGF. Smad4 suppresses human ovarian cancer cell metastasis potential through its effect on the expressions of PAI-1, E-cadherin and VEGF. Results from current work implicate Smad4 might suppress the invasion and metastasis of human ovarian tumor cells through a TGF-β/Smad-mediated pathway. [BMB reports 2010; 43(8): 554-560]

Price Learning Based Load Distribution Strategies for Demand Response Management in Smart Grid

Qiang Tang,Ming-zhong Xie,Kun Yang,Yuan-sheng Luo,Ping Li 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.11

In this paper, a Price learning based Load Distribution Strategy (PLDS) is proposed at first. In PLDS model, Smart Power Service, Utility Company and History Load Curves are included, and by considering both the average electricity consumption cost and the average electricity consumption habit, we proposed a convex optimization model to solve the model. In order to accelerate the convergence of PLDS, a price learning mechanism is proposed, which learns a price curve according to the history price data, and predicts price as a learned price for the next iteration. The optimization cycle of PLDS is one day or 24 hours, and in order to further improve the peak shaving performance, an extended version of PLDS named PLRS (Price learning based Load Redistribution Strategy) is proposed, whose optimization cycle length is 1 hour. The optimization models of PLDS and PLRS are the same, and the differences between them are the optimization cycle and the constraint conditions. In the simulation, we compared the convergence performance, peaking shaving performance and total cost among PLDS, PLRS and other strategy ODC in reference [11], and we found that the convergence performances of PLDS and PLRS are both better than that of ODC. The peak shaving performance of PLRS is better than that of ODC in the long term, and the total cost of PLRS is very close to that of ODC.