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Article ; Online: CD206

Heng, Yu / Zhu, Xiaoke / Lin, Hanqing / Jingyu, Ma / Ding, Xuping / Tao, Lei / Lu, Liming

2023 Volume 21, Issue 1, Page(s) 167

Abstract: Background: Tumor-associated macrophages (TAMs) are major component in the tumor microenvironment (TME) and play regulatory role in tumor progression. We aimed to investigate the infiltration and prognostic value of TAMs in laryngeal squamous cell ... ...

Abstract	Background: Tumor-associated macrophages (TAMs) are major component in the tumor microenvironment (TME) and play regulatory role in tumor progression. We aimed to investigate the infiltration and prognostic value of TAMs in laryngeal squamous cell carcinoma (LSCC) and to reveal the underlying mechanism of TAM subgroups in tumorigenesis. Methods: Hematoxylin and eosin (HE) staining were performed to define the tumor nest and stroma of LSCC tissue microarrays. CD206 + /CD163 + and iNOS + TAM infiltrating profiles were obtained and analyzed through double-labeling immunofluorescence and immunohistochemical staining. The recurrence-free (RFS) and overall survival (OS) curves based on the infiltration of TAMs were plotted using the Kaplan-Meier method. Infiltration of macrophages, T lymphocytes and their corresponding subgroups were analyzed in fresh LSCC tissue samples by flow cytometry. Results: We found that CD206
MeSH term(s)	Humans ; Carcinogenesis ; CD4-Positive T-Lymphocytes ; Cell Transformation, Neoplastic ; Head and Neck Neoplasms ; Lymphocytes, Tumor-Infiltrating ; Squamous Cell Carcinoma of Head and Neck ; Tumor Microenvironment ; Tumor-Associated Macrophages
Chemical Substances	MRC1 protein, human
Language	English
Publishing date	2023-03-03
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2118570-0
ISSN	1479-5876 ; 1479-5876
ISSN (online)	1479-5876
ISSN	1479-5876
DOI	10.1186/s12967-023-03910-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Poverty-Returning Risk Monitoring and Analysis of the Registered Poor Households Based on BP Neural Network and Natural Breaks

Runqiao Zhang / Yawen He / Wenkai Cui / Ziwen Yang / Jingyu Ma / Haonan Xu / Duxian Feng

Sustainability, Vol 14, Iss 5228, p

A Case Study of Yunyang District, Hubei Province

2022 Volume 5228

Abstract: To address the problem of subjectivity in determining the poverty-returning risk among registered poor households, a method of monitoring and analyzing the poverty-returning risk among households based on BP neural network and natural breaks method was ... ...

Abstract	To address the problem of subjectivity in determining the poverty-returning risk among registered poor households, a method of monitoring and analyzing the poverty-returning risk among households based on BP neural network and natural breaks method was constructed. In the case of Yunyang District, Hubei Province, based on the data of the poverty alleviation and development system, we constructed a monitoring system for the poverty-returning risk for the registered poor households. The spatial distribution pattern of households under the poverty-returning risk was analyzed from two scales of district and township, respectively, by combining Geographic Information Science, and the influence degree of indicators on the poverty-returning risk using mean impact value (MIV). The results show that: (1) The spatial distribution of the poverty-returning risk among the registered poor households in the study area basically coincides with the local natural poverty-causing factors and the degree of social and economic development. (2) The Poverty-Returning Risk Index for each township represents a globally strong spatial dependence with a Moran’s I coefficient of 0.352. (3) The past poverty identification status of registered poor households is the main factor to reduce the poverty-returning risk, and the past policy should remain unchanged for a period of time. (4) Improving the quality of education within households and focusing on helping households with older average age can further reduce the poverty-returning risk.
Keywords	BP neural network ; natural breaks ; registered poor households ; poverty-returning risk ; spatial distribution ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An Instance Segmentation-Based Framework for a Large-Sized High-Resolution Remote Sensing Image Registration

Junyan Lu / Hongguang Jia / Tie Li / Zhuqiang Li / Jingyu Ma / Ruifei Zhu

Remote Sensing, Vol 13, Iss 1657, p

2021 Volume 1657

Abstract: Feature-based remote sensing image registration methods have achieved great accomplishments. However, they have faced some limitations of applicability, automation, accuracy, efficiency, and robustness for large high-resolution remote sensing image ... ...

Abstract	Feature-based remote sensing image registration methods have achieved great accomplishments. However, they have faced some limitations of applicability, automation, accuracy, efficiency, and robustness for large high-resolution remote sensing image registration. To address the above issues, we propose a novel instance segmentation-based registration framework specifically for large-sized high-resolution remote sensing images. First, we design an instance segmentation model based on a convolutional neural network (CNN), which can efficiently extract fine-grained instances as the deep features for local area matching. Then, a feature-based method combined with the instance segmentation results is adopted to acquire more accurate local feature matching. Finally, multi-constraints based on the instance segmentation results are introduced to work on the outlier removal. In the experiments of high-resolution remote sensing image registration, the proposal effectively copes with the circumstance of the sensed image with poor positioning accuracy. In addition, the method achieves superior accuracy and competitive robustness compared with state-of-the-art feature-based methods, while being rather efficient.
Keywords	registration ; large-sized high-resolution remote sensing image ; instance segmentation ; Convolutional Neural Network ; instance matching ; outlier removal ; Science ; Q
Language	English
Publishing date	2021-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Fabrication of Pore-Selective Metal-Nanoparticle-Functionalized Honeycomb Films via the Breath Figure Accompanied by In Situ Reduction

Yongjiang Li / Xiaoyan Ma / Jingyu Ma / Zongwu Zhang / Zhaoqi Niu / Fang Chen

Polymers, Vol 13, Iss 3, p

2021 Volume 316

Abstract: Honeycomb films pore-filled with metal (Au, Ag, and Cu) nanoparticles were successfully prepared by combining the breath figure method and an in situ reduction reaction. First, a polyhedral oligomeric silsesquioxane (POSS)-based star-shaped polymer ... ...

Abstract	Honeycomb films pore-filled with metal (Au, Ag, and Cu) nanoparticles were successfully prepared by combining the breath figure method and an in situ reduction reaction. First, a polyhedral oligomeric silsesquioxane (POSS)-based star-shaped polymer solution containing metal salt was cast under humid conditions for the formation of honeycomb films pore-filled with metal salt through the breath figure method. The morphology of the honeycomb films was mainly affected by the polymer molecular structure and the metal salt. Interestingly, the promoting effect of the metal salt in the breath figure process was also observed. Then, honeycomb films pore-filled with metal nanoparticles were obtained by in situ reduction of the honeycomb films pore-filled with metal salt using NaBH 4 . Notably, the metal nanoparticles can be selectively functionalized in the pores or on the surface of the honeycomb films by controlling the concentration of the NaBH 4 . Metal-nanoparticle-functionalized honeycomb films can prospectively be used in catalysis, flexible electrodes, surface-enhanced Raman spectroscopy (SERS), and wettability patterned surfaces.
Keywords	honeycomb films ; POSS-based star-shaped polymers ; pore-selective functionalization ; metal nanoparticles ; breath figure ; Organic chemistry ; QD241-441
Subject code	620
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Tracking and climbing behavior recognition of heavy-duty trucks on roadways

Lei Tang / Jingchi Jia / Zongtao Duan / Jingyu Ma / Xin Wang / Weiwei Kong

International Journal of Distributed Sensor Networks, Vol

2020 Volume 16

Abstract: The tracking and behavior recognition of heavy-duty trucks on roadways are keys for the development of automated heavy-duty trucks and an advanced driver assistance system. The spatiotemporal information of trucks from trajectory tracking and motions ... ...

Abstract	The tracking and behavior recognition of heavy-duty trucks on roadways are keys for the development of automated heavy-duty trucks and an advanced driver assistance system. The spatiotemporal information of trucks from trajectory tracking and motions learnt from behavior analysis can be employed to predict possible driving risks and generate safe motion to avoid roadway accidents. This article presents a unified tracking and behavior recognition algorithm that can model the mobility of heavy-duty trucks on long inclined roadways. Random noise within the sampled elevation data is addressed by time-based segmentation to extract time-continuous samples at geographical locations. A Kalman filter is first used to distinguish error offsets from random noise and to estimate the distribution of truck elevations for different time intervals. A Markov chain Monte Carlo model is then applied to classify truck behaviors based on the change in elevation between two geographical locations. A heavy-duty truck mobility (HVMove) model is constructed based on the map information to apply the roadway geometry to the tracking and behavior recognition algorithm. We develop an extended Metropolis–Hastings algorithm to tune the parameters of the HVMove model. The proposed model is verified and evaluated through extensive experiments based on a real-world trajectory dataset covering sections of an expressway and national and provincial highways. From the experimental results, we conclude that the HVMove model provides sufficient accuracy and efficiency for automated heavy-duty trucks and advanced driver assistance system applications. In addition, HVMove can generate maps with the elevation information marked automatically.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2020-02-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Association of aging-related genes with prognosis and immune infiltration in pancreatic adenocarcinoma

Shengbai Xue / Weiyu Ge / Kexuan Wang / Tiebo Mao / Xiaofei Zhang / Haiyan Xu / Yongchao Wang / Jiayu Yao / Shumin Li / Ming Yue / Jingyu Ma / Yanling Wang / Daiyuan Shentu / Jiujie Cui / Liwei Wang

Frontiers in Cell and Developmental Biology, Vol

2022 Volume 10

Abstract: Pancreatic adenocarcinoma (PAAD) is one of the deadliest malignancies. Aging is described as the degeneration of physiological function, which is complexly correlated with cancer. It is significant to explore the influences of aging-related genes (ARGs) ... ...

Abstract	Pancreatic adenocarcinoma (PAAD) is one of the deadliest malignancies. Aging is described as the degeneration of physiological function, which is complexly correlated with cancer. It is significant to explore the influences of aging-related genes (ARGs) on PAAD. Based on The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) datasets, we used univariate Cox regression analysis and acquired eight differentially expressed ARGs with prognostic values. Two molecular subtypes were identified based on these ARGs to depict PAAD patients’ overall survival (OS) and immune microenvironments preliminarily. Cluster 1 had a poor OS as well as a worse immune microenvironment. Through least absolute shrinkage and selection operator (LASSO) regression analysis, we constructed a seven-ARG risk signature based on the TCGA dataset and verified it in Gene Expression Omnibus (GEO) and International Cancer Genome Consortium (ICGC) to predict the prognoses, immune microenvironments, signal pathways, tumor mutations, and drug sensitivity of PAAD patients. The high-risk group possessed an unfavorable OS compared with that of the low-risk group. We also verified the independence and clinical availability of the risk signature by Cox regression analyses and the establishment of a nomogram, respectively. The higher risk score was associated with several clinical factors such as higher grade and advanced tumor stage as well as lower immunoscore and cluster 1. The negative associations of risk scores with immune, stroma, and estimate scores proved the terrible immune microenvironment in the high-risk group. Relationships between risk score and immune checkpoint gene expression as well as signal pathways provided several therapeutic targets. PAAD patients in the low-risk group possessed lower tumor mutations as well as a higher susceptibility to axitinib and vorinostat. The high-risk group bore a higher TMB and cisplatin and dasatinib may be better options. We used immunohistochemistry and qPCR to confirm the expression of key ...
Keywords	pancreatic adenocarcinoma ; aging ; molecular subtype ; prognostic signature ; immune microenviroment ; Biology (General) ; QH301-705.5
Subject code	610 ; 616
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Novel Molecular Signature of Cancer-Associated Fibroblasts Predicts Prognosis and Immunotherapy Response in Pancreatic Cancer

Weiyu Ge / Ming Yue / Yanling Wang / Yongchao Wang / Shengbai Xue / Daiyuan Shentu / Tiebo Mao / Xiaofei Zhang / Haiyan Xu / Shumin Li / Jingyu Ma / Liwei Wang / Jiujie Cui

International Journal of Molecular Sciences, Vol 24, Iss 1, p

2022 Volume 156

Abstract: Cancer-associated fibroblasts (CAFs), a prominent population of stromal cells, play a crucial role in tumor progression, prognosis, and treatment response. However, the relationship among CAF-based molecular signatures, clinical outcomes, and tumor ... ...

Abstract	Cancer-associated fibroblasts (CAFs), a prominent population of stromal cells, play a crucial role in tumor progression, prognosis, and treatment response. However, the relationship among CAF-based molecular signatures, clinical outcomes, and tumor microenvironment infiltration remains largely elusive in pancreatic cancer (PC). Here, we collected multicenter PC data and performed integrated analysis to investigate the role of CAF-related genes (CRGs) in PC. Firstly, we demonstrated that α-SMA + CAFs were the most prominent stromal components and correlated with the poor survival rates of PC patients in our tissue microarrays. Then, we discriminated two diverse molecular subtypes (CAF clusters A and B) and revealed the significant differences in the tumor immune microenvironment (TME), four reported CAF subpopulations, clinical characteristics, and prognosis in PC samples. Furthermore, we analyzed their association with the immunotherapy response of PC patients. Lastly, a CRG score was constructed to predict prognosis, immunotherapy responses, and chemosensitivity in pancreatic cancer patients. In summary, these findings provide insights into further research targeting CAFs and their TME, and they pave a new road for the prognosis evaluation and individualized treatment of PC patients.
Keywords	cancer-associated fibroblasts ; molecular signature ; tumor immune microenvironment ; therapeutic sensitivity ; pancreatic cancer ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	610 ; 616
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer

Xiaofei Zhang / Tiebo Mao / Bei Zhang / Haiyan Xu / Jiujie Cui / Feng Jiao / Dongqin Chen / Yu Wang / Jiong Hu / Qing Xia / Weiyu Ge / Shumin Li / Ming Yue / Jingyu Ma / Jiayu Yao / Yongchao Wang / Yanling Wang / Daiyuan Shentu / Xiao Zhang /

Shiqing Chen / Yuezong Bai / Yuexiang Wang / Xuebin Zhang / Qiang Liu / Yongwei Sun / Deliang Fu / Yingbin Liu / Lei Xiong / Liwei Wang

EBioMedicine, Vol 77, Iss , Pp 103897- (2022)

2022

Abstract: Summary: Background: Pancreatic ductal adenocarcinoma (PDAC) is a malignant tumor with an extremely poor prognosis. Effective targets for anticancer therapy confirmed in PDAC are limited. However, the characteristics of genomics have not been fully ... ...

Abstract	Summary: Background: Pancreatic ductal adenocarcinoma (PDAC) is a malignant tumor with an extremely poor prognosis. Effective targets for anticancer therapy confirmed in PDAC are limited. However, the characteristics of genomics have not been fully elucidated in large-scale patients with PDAC from China. Methods: We collected both blood and tissue samples from 1080 Chinese patients with pancreatic cancer and retrospectively investigated the genomic landscape using next-generation sequencing (NGS). Findings: We found recurrent somatic mutations in KRAS (83.2%), TP53 (70.6%), CDKN2A (28.8%), SMAD4 (23.0%), ARID1A (12.8%) and CDKN2B (8.9%) in Chinese PDAC patients. Compared with primary pancreatic cancers, more genomic alterations accumulated especially cell cycle regulatory gene variants (45.4% vs 31.6%, P < 0.001) were observed in metastatic tumors. The most common mutation site of KRAS is p.G12D (43.6%) in pancreatic cancer. Patients with KRAS mutations were significantly associated with older age and mutations in the other three driver genes, while KRAS wild-type patients contained more fusion mutations and alternative mechanisms of RTK/Ras/MAPK pathway including a number of clinically targetable mutations. KRAS mutations in Chinese cohort were significantly lower than those in Western cohorts (all P < 0.05). A total of 252 (23.3%) patients with the core DNA damage response (DDR) gene mutations were detected. ATM (n =59, 5.5%) was the most frequent mutant DDR gene in patients with pancreatic cancer from China. Patients with germline DDR gene mutations were younger (P = 0.018), while patients with somatic DDR gene mutations were more likely to accumulate in metastatic lesions (P < 0.001) and had higher TMB levels (P < 0.001). In addition, patients with mutant DDR genes and patients carrying TP53 mutation were observed mutually exclusive (P < 0.001). Interpretation: We demonstrated the real-world genomic characteristics of large-scale patients with pancreatic cancer from China which may have promising implications for further clinical significance and drug development. Funding: The funders are listed in the Acknowledgement.
Keywords	Pancreatic ductal adenocarcinoma ; genomic mutation ; next-generation sequencing ; KRAS ; DNA damage response ; Medicine ; R ; Medicine (General) ; R5-920
Subject code	610 ; 616
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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