Article
Surgery
Sang Hun Park, Jun Ho Shin, Kyung Uk Jung, Sung Ryol Lee
Summary: This study assessed the role of preoperative serum CA 19-9 and CEA concentrations in the survival prognosis of patients with periampullary carcinoma and found that CA 19-9 may be a useful marker in predicting prognosis at the time of diagnosis.
ASIAN JOURNAL OF SURGERY
(2021)
Article
Oncology
Ivan David Lozada-Martinez, Maria Paz Bolano-Romero, Lina Lambis-Anaya, Yamil Liscano, Amileth Suarez-Causado
Summary: This study identified CEA as a potential clinical biomarker for determining undifferentiated tumor phenotype, advanced clinical stage, and poor therapeutic response in rectal cancer with positive expression of cancer stem cells (CSCs).
FRONTIERS IN ONCOLOGY
(2023)
Article
Gastroenterology & Hepatology
Zhifang Zheng, Xiaojie Wang, Xingrong Lu, Ying Huang, Pan Chi
Summary: This study found that in patients with LARC treated with nCRT, the number of elevated post-nCRT tumor markers is an independent prognostic factor. For patients with elevated pre-nCRT tumor markers, normalization of post-nCRT markers is a protective factor. Furthermore, persistent elevation of tumor markers post-surgery is associated with increased risk of recurrence and death, while normalization of these markers is linked to better survival outcomes.
COLORECTAL DISEASE
(2021)
Article
Oncology
Yang-Yu Huang, Xuan Liu, Shen-Hua Liang, Yu Hu, Guo-Wei Ma
Summary: This study aimed to investigate whether preoperative tumor biomarkers CEA and NSE could serve as independent predictors for postoperative prognosis in patients with TETs. The results showed that preoperative serum CEA levels and tumor size may be strong predictors of postoperative overall survival in patients with TETs.
TECHNOLOGY IN CANCER RESEARCH & TREATMENT
(2022)
Article
Oncology
Dingcheng Shen, Xiaolin Wang, Heng Wang, Gaopo Xu, Yumo Xie, Zhuokai Zhuang, Ziying Huang, Juan Li, Jinxin Lin, Puning Wang, Meijin Huang, Yanxin Luo, Huichuan Yu
Summary: In patients with rectal cancer, serum CEA has insufficient sensitivity in recurrence surveillance after treatment in cases with negative baseline CEA, and additional surveillance may improve oncologic outcomes.
JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK
(2022)
Article
Oncology
Fotios Loupakis, Shruti Sharma, Madiha Derouazi, Sabina Murgioni, Paola Biason, Mario Domenico Rizzato, Cosimo Rasola, Derrick Renner, Svetlana Shchegrova, Allyson Koyen Malashevich, Meenakshi Malhotra, Himanshu Sethi, Bernhard G. Zimmermann, Alexey Aleshin, Solomon Moshkevich, Paul R. Billings, Jonathon D. Sedgwick, Marta Schirripa, Giada Munari, Umberto Cillo, Pierluigi Pilati, Angelo Paolo Dei Tos, Vittorina Zagonel, Sara Lonardi, Matteo Fassan
Summary: This study suggests that ctDNA-based MRD analysis is a significant prognostic biomarker in patients with metastatic colorectal cancer undergoing resection, providing valuable information for clinical decision making, clinical trial design, and translational research.
JCO PRECISION ONCOLOGY
(2021)
Article
Medicine, General & Internal
Chih-Yung Yang, Chun-Chi Lin, Sheng-Chieh Huang, Ruey-Hwa Lu, Liang-Chuan Lo, Ju-Yu Tseng, Chien-Yi Tung, Chi-Hung Lin, Jeng-Kai Jiang
Summary: This study found that the number of circulating tumor cells (CTCs) in colorectal cancer (CRC) patients is closely associated with prognosis, and combining CTCs with the tumor marker CEA can provide a more accurate prediction of patient survival.
JOURNAL OF THE CHINESE MEDICAL ASSOCIATION
(2023)
Article
Oncology
Haoyu Zhang, Ke Cao, Ganbin Li, Zhiwei Zhai, Guanghui Wei, Hao Qu, Zhenjun Wang, Jiagang Han
Summary: This study retrospectively analyzed 120 locally advanced rectal cancer patients who received total neoadjuvant therapy (TNT) and found that cN2, larger tumor size, and elevated CEA levels were important predictive factors for poor tumor regression response.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Jia Xiang, Mengyao Ding, Jixing Lin, Tianhui Xue, Qianwen Ye, Bing Yan
Summary: This study found that the carcinoembryonic antigen to body mass index ratio (CBR) is a significant prognostic factor in colorectal cancer, with patients having a high CBR exhibiting poorer survival.
Article
Oncology
Xiao-Dong Zhu, Li-Xiang Zhang, Pan-Quan Luo, Hai Zhu, Zhi-Jian Wei, A-Man Xu
Summary: This study found that the elevation of tumor markers CEA and CA19-9 before and after gastric cancer surgery is associated with poor prognosis, and this increment has a greater impact on prognosis than preoperative CEA/CA19-9 levels. A new prognostic model was established and shown to have reliable accuracy.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Kechao Nie, Jing Li, Luqi Peng, Mei Zhang, Wei Huang
Summary: LY96 is differentially expressed in various cancers, often upregulated, and has prognostic significance in most cancers. LY96 is associated with copy number, DNA methylation, somatic mutation, MSI, TMB, TME characteristics, and immune cell infiltration, and regulates tumor-associated pathways and drug resistance in multiple cancers.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
Article
Oncology
Alona Rehulkova, Josef Chudacek, Andrea Prokopova, Monika Vidlarova, Jana Stranska, Jiri Drabek, Jana Potockova, Radek Trojanec, Jana Vrbkova, Josef Skarda, Tomas Bohanes, Marek Szkorupa, Benjamin Tolmaci, Jiri Klein, Josef Srovnal, Marian Hajduch
Summary: We tested the presence and prognostic impact of circulating tumor cells (CTCs) in peripheral blood, tumor-draining pulmonary blood, and bone marrow samples from early-stage non-small cell lung cancer (NSCLC) patients. The presence of CEA mRNA-positive CTCs in tumor-draining pulmonary blood and bone marrow samples was associated with shorter cancer-specific survival. The presence of EpCAM mRNA-positive CTCs in tumor-draining pulmonary blood samples was associated with shorter cancer-specific survival and disease-free survival.
TRANSLATIONAL LUNG CANCER RESEARCH
(2023)
Article
Oncology
Alona Rehulkova, Josef Chudacek, Andrea Prokopova, Monika Vidlarova, Jana Stranska, Jiri Drabek, Jana Potockova, Radek Trojanec, Jana Vrbkova, Josef Skarda, Tomas Bohanes, Marek Szkorupa, Benjamin Tolmaci, Jiri Klein, Josef Srovnal, Marian Hajduch
Summary: The presence of CTCs/DTCs in NSCLC patients undergoing radical surgery is associated with poorer survival. Specifically, the presence of CEA and EpCAM mRNA-positive CTCs/DTCs in TDB and BM is linked to shorter cancer-specific survival (CSS) and disease-free survival (DFS). Moreover, the presence of CEA mRNA-positive CTCs in the PB is an independent negative prognostic factor for DFS.
TRANSLATIONAL LUNG CANCER RESEARCH
(2023)
Article
Oncology
Siyu Zhou, Nengquan Sheng, Jiazi Ren, Qian He, Yaya Zhang, Jianfeng Gong, Zhigang Wang
Summary: Recent research has shown that postoperative carcinoembryonic antigen (CEA) levels are an important indicator of colorectal cancer prognosis, and incorporating post-CEA into prognostic models significantly improves predictive performance. Developing prognostic nomograms and a prediction model for post-CEA elevation may help identify patients who require more intensive postoperative CEA surveillance.
FRONTIERS IN ONCOLOGY
(2021)
Article
Gastroenterology & Hepatology
Youngki Hong, Amandeep Ghuman, Keat Seong Poh, Dimitri Krizzuk, Arun Nagarajan, Sudha Amarnath, Juan J. Nogueras, Steven D. Wexner, Giovanna DaSilva
Summary: The study aimed to evaluate whether changes in CEA levels following chemoradiation in patients with locally advanced rectal cancer can predict prognosis post-surgery. Results indicated that normalized CEA can serve as a prognostic indicator.
COLORECTAL DISEASE
(2021)
Article
Surgery
Xue Cao, Xiaolin Wang, Heng Wang, Gaopo Xu, Huichuan Yu
Summary: The study showed that baseline PNLR can predict survival and NSAIDs benefit in rectal cancer patients. The high-PNLR group had worse DFS, but NSAIDs could reduce the risk of recurrence, especially in the high-PNLR subset.
JOURNAL OF SURGICAL RESEARCH
(2022)
Article
Oncology
Dingcheng Shen, Xiaolin Wang, Heng Wang, Gaopo Xu, Yumo Xie, Zhuokai Zhuang, Ziying Huang, Juan Li, Jinxin Lin, Puning Wang, Meijin Huang, Yanxin Luo, Huichuan Yu
Summary: In patients with rectal cancer, serum CEA has insufficient sensitivity in recurrence surveillance after treatment in cases with negative baseline CEA, and additional surveillance may improve oncologic outcomes.
JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK
(2022)
Article
Multidisciplinary Sciences
Xue Cao, Wenjuan Li, Ting Wang, Dongzhi Ran, Veronica Davalos, Laura Planas-Serra, Aurora Pujol, Manel Esteller, Xiaolin Wang, Huichuan Yu
Summary: Epigenetic aging is associated with the risk of SARS-CoV-2 infection and developing severe COVID-19. The accumulation of epigenetic aging from COVID-19 may contribute to the post-COVID-19 syndrome among survivors.
NATURE COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Ting Shen, Ting Ni, Jiaxuan Chen, Haitao Chen, Xiaopin Ma, Guangwen Cao, Tianzhi Wu, Haisheng Xie, Bin Zhou, Gang Wei, Hexige Saiyin, Suqin Shen, Peng Yu, Qianyi Xiao, Hui Liu, Yuzheng Gao, Xidai Long, Jianhua Yin, Yanfang Guo, Jiaxue Wu, Gong-Hong Wei, Jinlin Hou, De-Ke Jiang
Summary: Most cancer-causing variations are found in gene regulatory elements, such as enhancers. However, enhancer variants predisposing to hepatocellular carcinoma (HCC) have not been reported before. In this study, a genome-wide survey was conducted in 11,958 individuals to identify HCC-susceptible enhancer variants, and rs73613962 within the intronic region of PRMT7 was discovered as a susceptibility locus for HCC. The functional activity of this region as an enhancer was confirmed through experimental assays. The upregulation of PRMT7, which is regulated by this enhancer region through the binding of the transcription factor HNF4A, contributes to HCC-related phenotypes both in vitro and in vivo. This finding sheds light on the pathogenesis of HCC and may provide new opportunities for its prevention and treatment.
NATURE COMMUNICATIONS
(2022)
Article
Oncology
Wenbin Liu, Shiliang Cai, Rui Pu, Zixiong Li, Donghong Liu, Xinyu Zhou, Jianhua Yin, Xi Chen, Liping Chen, Jianfeng Wu, Xiaojie Tan, Xin Wang, Guangwen Cao
Summary: Mutations in the preS region of hepatitis B virus (HBV) are associated with an increased risk of hepatocellular carcinoma (HCC). In this study, several specific preS mutations were found to significantly increase the risk of HCC by promoting inflammation and altering gene expression in inflammation- and metabolism-related pathways. These findings highlight the importance of monitoring these mutations for HCC prevention.
Article
Dermatology
Gang Chen, Mengwei Wang, Peiguang Wang, Bo Liang
Summary: We report a Chinese patient with Ichthyosis follicularis with atrichia and photophobia (IFAP) syndrome, presenting with the classic triad of follicular ichthyosis, alopecia, and photophobia, along with painful palmoplantar keratoderma, recurrent infections, periorificial keratotic plaques, nail dystrophy, and pachyonychia. Whole-exome sequencing identified an intronic variant (NM_015884.3: exon7:c.970+5G>A) in the MBTPS2 gene, which was confirmed to segregate with phenotype in the family. cDNA sequencing showed that the variant introduced a new splice donor site, leading to partial skipping of exon 7 (r.951_970del). An in vitro mini-gene assay demonstrated abnormal splicing of exon 7. This study highlights the importance of validation assays in determining the pathogenicity of intronic variants in MBTPS2.
JOURNAL OF DERMATOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Yuru Guo, Zenghong Huang, Lixin Yang, Hongxia Rao, Hui Chen, Yong Xu
Summary: This work focuses on the synchronization problem of neural networks with Markovian parameters, where the partially unknown transition probabilities of the Markov chain are considered. Impulsive disturbances in the form of uncertain variables and complex coupling terms are introduced to account for interference and noise in practical systems. A mode-dependent pinning controller is designed to reduce control costs and a synchronization error system is derived. A sufficient condition for synchronization is established using a Lyapunov functional candidate and iterations. The allowed minimum interval of the impulsive disturbance is determined to avoid excessive disruption. Numerical examples are provided to illustrate the correctness and superiority of the proposed approach.
Article
Oncology
Du Cai, Wei Wang, Min-Er Zhong, Dejun Fan, Xuanhui Liu, Cheng-Hang Li, Ze-Ping Huang, Qiqi Zhu, Min-Yi Lv, Chuling Hu, Xin Duan, Xiao-Jian Wu, Feng Gao
Summary: By integrating tumor microenvironment and epithelial-mesenchymal transition, an ISE signature was proposed to predict the recurrence of stage II/III colorectal cancer and assist in treatment decision-making.
Article
Engineering, Multidisciplinary
Yong Xu, Yunsong Deng, Zenghong Huang, Ming Lin, Peng Shi
Summary: This paper investigates the issue of distributed state estimation for discrete-time systems over sensor networks. A distributed estimator is designed according to the decomposed dynamic systems and a diffusion strategy with different steps is introduced to improve the performance. The upper bound of the prediction error covariance is derived and minimized by a suboptimal estimator gain. The effectiveness of the proposed algorithm is validated through simulation.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Zenghong Huang, Yuru Guo, Hui Peng, Yong Xu
Summary: This paper proposes a novel approach to distributed moving horizon estimation for linear discrete-time systems over a wireless sensor network. A distributed moving horizon estimator is presented by minimizing a cost function involving consensus steps on the prediction. The proposed estimator reduces the communication burden by only requiring each node to transmit one state vector over the network. The estimation error of the proposed estimator is bounded by choosing an appropriate scalar parameter and a sufficiently large consensus step. A distributed target tracking example is presented to verify the performance of the developed results.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Automation & Control Systems
Lixin Yang, Yong Xu, Zenghong Huang, Hongxia Rao, Daniel E. E. Quevedo
Summary: This paper investigates the scheduling problem for multiple sensors to observe multiple systems, where only one sensor can transmit a measurement to the remote estimator over a Markovian fading channel at each time instant. A stochastic scheduling protocol is proposed, and the stochastic sensor scheduling is modeled as a Markov decision process (MDP). A sufficient condition is derived to ensure the stability of remote estimation error covariance, and the existence of an optimal deterministic and stationary policy is proved. To overcome the curse of dimensionality, the deep deterministic policy gradient, a recent deep reinforcement learning algorithm, is utilized to obtain an optimal policy for the MDP. Finally, a practical example is given to demonstrate the superiority of the developed scheduling algorithm compared to other policies.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Review
Oncology
Zheyun Niu, Dongming Jiang, Jiaying Shen, Wenbin Liu, Xiaojie Tan, Guangwen Cao
Summary: Tumor development follows an evolutionary pattern of mutation-selection-adaptation, and FHIT plays a crucial role in this process by regulating gene expression and promoting retro-differentiation during cancer evolution and development. This article provides evidence on how FHIT is inactivated in cancer and highlights its importance in bridging macroevolution and microevolution.
Review
Biochemistry & Molecular Biology
Jiayi Zhao, Yiwei Shi, Guangwen Cao
Summary: The initiation and progression of tumors are complex, with the inflammation tumor microenvironment playing a crucial role. Single-cell RNA sequencing (scRNA-seq) can detect the transcription levels of cells, revealing the heterogeneity and evolutionary trajectory of infiltrated immune cells and cancer cells, providing insights into the composition and function of cells in the inflammatory tumor microenvironment.
Article
Engineering, Electrical & Electronic
Yunsong Deng, Zenghong Huang, Yijin Jia, Yong Xu, Peng Shi
Summary: This paper focuses on distributed estimation and smoothing for linear dynamic systems monitored by a sensor network. The system is decomposed into subsystems, and each sensor estimates the state for one subsystem at most. The estimations for most subsystems are obtained from the neighbors of each sensor. Optimal gains are pre-calculated offline, and a numerical solution is obtained using optimization algorithms. The algorithm is more robust and recovers faster compared to consensus-based estimation algorithms.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Computer Science, Information Systems
Zenghong Huang, Zijie Chen, Chang Liu, Yong Xu, Peng Shi
Summary: This paper proposes two novel algorithms for distributed state estimation for linear systems over a sensor network, utilizing the framework of Moving Horizon Estimation (MHE). The algorithms are fully distributed, scalable, and consider constraints on the noises and system states. The algorithms estimate the state by minimizing a local quadratic objective function, which can be efficiently solved using quadratic programming (QP). Consensus technique is employed to fuse information and construct the local quadratic objective function for each node. The effectiveness of the algorithms is verified through numerical results.
INFORMATION SCIENCES
(2023)