Article
Medicine, Research & Experimental
Wenhua Liang, Zhiwei Chen, Caichen Li, Jun Liu, Jinsheng Tao, Xin Liu, Dezhi Zhao, Weiqiang Yin, Hanzhang Chen, Chao Cheng, Fenglei Yu, Chunfang Zhang, Luxu Liu, Hui Tian, Kaican Cai, Xiang Liu, Zheng Wang, Ning Xu, Qing Dong, Liang Chen, Yue Yang, Xiuyi Zhi, Hui Li, Xixiang Tu, Xiangrui Cai, Zeyu Jiang, Hua Ji, Lili Mo, Jiaxuan Wang, Jian-Bing Fan, Jianxing He
Summary: A diagnostic model based on DNA methylation sequencing was developed and validated, achieving high accuracy in identifying malignant pulmonary nodules of different stages and subtypes. The methylation test outperformed other clinical prediction models in discriminating between malignant and benign nodules.
JOURNAL OF CLINICAL INVESTIGATION
(2021)
Article
Oncology
Marla K. Johnson, Shuyang Wu, Daniel G. Pankratz, Grazyna Fedorowicz, Jessica Anderson, Jie Ding, Mei Wong, Manqiu Cao, Joshua Babiarz, Lori Lofaro, P. Sean Walsh, Giulia C. Kennedy, Jing Huang
Summary: The Percepta GSC classifier shows consistent results across varying RNA quantities, minimal impact from genomic DNA contamination, and no change in results from blood RNA contamination. The reproducibility of Percepta GSC scores within and between runs and laboratories demonstrates its analytical robustness for routine clinical use.
Article
Engineering, Electrical & Electronic
Yohei Momoki, Akimichi Ichinose, Yutaro Shigeto, Ukyo Honda, Keigo Nakamura, Yuji Matsumoto
Summary: This study proposes a CAD system method that utilizes pseudo-labels for training, obtained by automatically extracting image labels from radiology reports. The experimental results show that the image classifier trained with pseudo-labels achieves similar performance as the one trained with manually annotated labels.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Engineering, Biomedical
Guozheng Sui, Xuefeng Liu, Shuang Chen, Shunli Liu, Zaixian Zhang
Summary: This paper proposes a segmentation method based on adversarial domain adaptation and background masking for medical image segmentation. By constructing networks and updating parameters for both source and target data, the segmentation accuracy is improved. Experimental results show that this method has a potential prospect in the segmentation of pulmonary nodules in computed tomography images.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Genetics & Heredity
Zhenglu Shang, Jiashun Sun, Jingjiao Hui, Yanhua Yu, Xiaoyun Bian, Bowen Yang, Kewu Deng, Li Lin
Summary: Pulmonary arterial hypertension (PAH) is a disease with limited treatment options that lead to heart failure and death. By analyzing gene expression profiles in the GSE33463 dataset, four optimal feature genes were identified, showing enrichment in immune-related functions and potential value for early diagnosis of PAH.
FRONTIERS IN GENETICS
(2021)
Article
Engineering, Electrical & Electronic
Tiequn Tang, Rongfu Zhang, Kailin Lin, Feng Li, Xunpeng Xia
Summary: In this article, a novel scale aware-based multiattention-guided reverse network (SM-RNet) is proposed for the segmentation of pulmonary nodules. The network utilizes information from different attention dimensions and scales to progressively obtain complete segmentation. The model is equipped with two-stage deep supervision and achieves superior results compared to other state-of-the-art networks.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Multidisciplinary Sciences
Shengli Li, Li Yuan, Zhi-Yuan Xu, Jing-Li Xu, Gui-Ping Chen, Xiaoqing Guan, Guang-Zhao Pan, Can Hu, Jinyun Dong, Yi-An Du, Li-Tao Yang, Mao-Wei Ni, Rui-Bin Jiang, Xiu Zhu, Hang Lv, Han-Dong Xu, Sheng-Jie Zhang, Jiang-Jiang Qin, Xiang-Dong Cheng
Summary: By performing proteogenomic characterization of adenocarcinoma of the esophagogastric junction (AEG) tumors, the authors identified three proteomic subtypes and potential druggable targets, providing new insights into the molecular subtypes of this disease.
NATURE COMMUNICATIONS
(2023)
Article
Biochemical Research Methods
Georgia Ntasi, Sara Sbriglia, Rossana Pitocchi, Roberto Vinciguerra, Chiara Melchiorre, Laura Dello Ioio, Giancarlo Fatigati, Emanuele Crisci, Ilaria Bonaduce, Andrea Carpentieri, Gennaro Marino, Leila Birolo
Summary: Animal glues are commonly used in restoration, and their performance is determined by the adhesive properties of collagen. Mass spectrometry techniques were used to characterize the protein components of homemade and commercial glues. The study identified the animal origin of the glues and distinguished between hide and bone glue based on the presence of collagen type III. The analysis of chemical modifications showed variations among different glues. These findings have analytical significance in the characterization of collagen-based materials and can assist restorers in selecting appropriate materials for conservation treatments.
JOURNAL OF PROTEOME RESEARCH
(2022)
Review
Pharmacology & Pharmacy
Xiaohan Qin, Tianhao Li, Wei Sun, Xiaoxiao Guo, Quan Fang
Summary: Pulmonary arterial hypertension (PAH) is a rare but fatal cardiovascular disorder with high morbidity and mortality. Early diagnosis and treatment are crucial for improving outcomes, but the molecular indicators of PAH are mostly nonspecific, calling for the urgent need of diagnostic and prognostic biomarkers. A better understanding of the underlying molecular mechanisms of PAH is essential for developing new and more effective therapeutics to improve patient outcomes.
THERAPEUTIC ADVANCES IN CHRONIC DISEASE
(2021)
Article
Multidisciplinary Sciences
Hui Zhang, Yanjun Peng, Yanfei Guo
Summary: In this paper, a 3D automatic detection system of pulmonary nodules based on multi-scale attention networks is proposed for accurate detection of lung cancer. The system utilizes multi-scale features of nodules and avoids network over-fitting problems. With the use of deep learning algorithms, the system improves the sensitivity of nodule detection and reduces false positive results.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Yaowen Hu, Jialei Zhan, Guoxiong Zhou, Aibin Chen, Jiayong Li
Summary: This paper proposes a lung cancer recognition method based on parallel cross convolution neural network, which improves the accuracy of lung cancer identification through optimized image processing and classification algorithms.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Oncology
Hang Xu, Na Zhu, Yong Yue, Yan Guo, Qingyun Wen, Lu Gao, Yang Hou, Jin Shang
Summary: This study evaluated the discriminatory capability of spectral CT-based radiomics to distinguish benign from malignant solitary pulmonary solid nodules (SPSNs). The results showed that radiomics features based on 65 keV had the optimal performance in distinguishing benign from malignant SPSNs. The radiomics-based model based on 65 keV outperformed the conventional model in the identification of SPSNs, and the integrated model combining radiomics-based model and conventional model further improved the diagnostic efficiency.
Article
Oncology
Mario Ghosn, Ahmed S. Elsakka, Elena N. Petre, Christopher Cheleuitte-Nieves, Tuomas Tammela, Sebastien Monette, Etay Ziv, Kyle M. Schachtschneider, Govind Srimathveeravalli, Hooman Yarmohammadi, F. Edward Boas, Stephen B. Solomon
Summary: The study aimed to develop and histologically characterize a swine model of lung cancer for preclinical studies evaluating locoregional therapies. Tumors induced in the lungs of Oncopigs are fast growing poorly differentiated neoplasms associated with a marked inflammatory reaction. This large animal model might be suitable for interventional and surgical therapies of lung cancer.
Article
Otorhinolaryngology
Ivona Loncar, Evert F. S. van Velsen, Elske T. Massolt, Folkert J. van Kemenade, Adriana C. H. van Engen-van Grunsven, Bettien M. van Hemel, Francien H. van Nederveen, Romana Netea-Maier, Thera P. Links, Robin P. Peeters, Tessa M. van Ginhoven
Summary: This study evaluated the clinical utility of the Gene Expression Classifier (GEC) and Genomic Sequencing Classifier (GSC) in a European population. The results showed that the GEC was not clinically useful in identifying benign lesions in indeterminate nodules, especially in oncocytic nodules. The GSC misclassified some malignant lesions as benign.
HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
(2023)
Article
Computer Science, Interdisciplinary Applications
Yu Han, Honggang Qi, Ling Wang, Chen Chen, Jun Miao, Hongbo Xu, Ziqi Wang, Zhijun Guo, Qian Xu, Qiang Lin, Haitao Liu, Junying Lu, Fei Liang, Wenqiu Feng, Haiyan Li, Yan Liu
Summary: In this study, a Pulmonary Nodules Detection Assistant Platform was designed for early detection and classification of lung nodules based on physical examination LDCT images. The system utilizes various computer aided diagnosis methods to detect and classify nodules of different sizes, achieving automatic and efficient detection.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Biochemistry & Molecular Biology
James L. Mulshine, Peter Ujhazy, Melissa Antman, Christine M. Burgess, Igor Kuzmin, Paul A. Bunn, Bruce E. Johnson, Jack A. Roth, Harvey Pass, Sheila M. Ross, Carolyn R. Aldige, Ignacio I. Wistuba, John D. Minna
JOURNAL OF CELLULAR BIOCHEMISTRY
(2020)
Editorial Material
Cardiac & Cardiovascular Systems
Harvey I. Pass
JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
(2021)
Article
Oncology
Mohammadhadi Khorrami, Kaustav Bera, Patrick Leo, Pranjal Vaidya, Pradnya Patil, Rajat Thawani, Priya Velu, Prabhakar Rajiah, Mehdi Alilou, Humberto Choi, Michael D. Feldman, Robert C. Gilkeson, Philip Linden, Pingfu Fu, Harvey Pass, Vamsidhar Velcheti, Anant Madabhushi
Editorial Material
Oncology
Harvey Pass
Editorial Material
Cardiac & Cardiovascular Systems
Harvey I. Pass
JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
(2022)
Article
Multidisciplinary Sciences
Xin Hu, Marcos R. Estecio, Runzhe Chen, Alexandre Reuben, Linghua Wang, Junya Fujimoto, Jian Carrot-Zhang, Nicholas McGranahan, Lisha Ying, Junya Fukuoka, Chi-Wan Chow, Hoa H. N. Pham, Myrna C. B. Godoy, Brett W. Carter, Carmen Behrens, Jianhua Zhang, Mara B. Antonoff, Boris Sepesi, Yue Lu, Harvey Pass, Humam Kadara, Paul Scheet, Ara A. Vaporciyan, John Heymach, Ignacio I. Wistuba, J. Jack Lee, P. Andrew Futreal, Dan Su, Jean-Pierre J. Issa, Jianjun Zhang
Summary: This study reveals that DNA methylation alterations accompany the evolution of pre-cancerous lesions in early carcinogenesis of lung adenocarcinomas, with global hypomethylation correlating with immune infiltration, mutational burden, and copy number alterations.
NATURE COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Hitoshi Dejima, Xin Hu, Runzhe Chen, Jiexin Zhang, Junya Fujimoto, Edwin R. Parra, Cara Haymaker, Shawna M. Hubert, Dzifa Duose, Luisa M. Solis, Dan Su, Junya Fukuoka, Kazuhiro Tabata, Hoa H. N. Pham, Nicholas Mcgranahan, Baili Zhang, Jie Ye, Lisha Ying, Latasha Little, Curtis Gumbs, Chi-Wan Chow, Marcos Roberto Estecio, Myrna C. B. Godoy, Mara B. Antonoff, Boris Sepesi, Harvey Pass, Carmen Behrens, Jianhua Zhang, Ara A. Vaporciyan, John Heymach, Paul Scheet, J. Jack Lee, Jia Wu, P. Andrew Futreal, Alexandre Reuben, Humam Kadara, Ignacio I. Wistuba, Jianjun Zhang
Summary: The evolution of immune landscape in lung adenocarcinoma involves a gradual increase of immunosuppression and decrease of anti-tumor response associated with specific genomic and epigenetic features, influencing the progression from preneoplasia to invasive ADC.
NATURE COMMUNICATIONS
(2021)
Correction
Multidisciplinary Sciences
Xin Hu, Junya Fujimoto, Lisha Ying, Junya Fukuoka, Kazuto Ashizawa, Wenyong Sun, Alexandre Reuben, Chi-Wan Chow, Nicholas McGranahan, Runzhe Chen, Jinlin Hu, Myrna C. Godoy, Kazuhiro Tabata, Kishio Kuroda, Lei Shi, Jun Li, Carmen Behrens, Edwin Roger Parra, Latasha D. Little, Curtis Gumbs, Xizeng Mao, Xingzhi Song, Samantha Tippen, Rebecca L. Thornton, Humam Kadara, Paul Scheet, Emily Roarty, Edwin Justin Ostrin, Xu Wang, Brett W. Carter, Mara B. Antonoff, Jianhua Zhang, Ara A. Vaporciyan, Harvey Pass, Stephen G. Swisher, John V. Heymach, J. Jack Lee, Ignacio I. Wistuba, Waun Ki Hong, P. Andrew Futreal, Dan Su, Jianjun Zhang
NATURE COMMUNICATIONS
(2021)
Article
Cardiac & Cardiovascular Systems
Travis C. Geraci, Zachary N. Kon, Nader Moazami, Stephanie H. Chang, Julius Carillo, Stacey Chen, Anthony Fargnoli, Marjan Alimi, Harvey Pass, Aubrey Galloway, Deane E. Smith
Summary: The study showed that adding hemoadsorption to VV-ECMO in patients with severe COVID-19 is feasible and reduces measured cytokine levels. However, the precise impact on the overall clinical course and survival benefit remains unknown and needs further research.
JOURNAL OF CARDIAC SURGERY
(2021)
Article
Public, Environmental & Occupational Health
Sheldon W. Samuels, Knut Ringen, William N. Rom, Arthur Frank
Summary: This article pays tribute to Dr. Irving J. Selikoff, the founder of environmental medicine, and highlights his pioneering efforts in investigating and publicizing workers' exposures. It also discusses the ethics of occupational health, the challenges faced by nuclear energy workers, the climate crisis, and the importance of unions and medical education in promoting workers' health.
AMERICAN JOURNAL OF INDUSTRIAL MEDICINE
(2022)
Article
Multidisciplinary Sciences
Jonas Meinel, Vadim Vorobyov, Boris Yavkin, Durga Dasari, Hitoshi Sumiya, Shinobu Onoda, Junichi Isoya, Joerg Wrachtrup
NATURE COMMUNICATIONS
(2021)
Article
Oncology
Jun-Chieh J. Tsay, Benjamin G. Wu, Imran Sulaiman, Katherine Gershner, Rosemary Schluger, Yonghua Li, Ting-An Yie, Peter Meyn, Evan Olsen, Luisannay Perez, Brendan Franca, Joseph Carpenito, Tadasu Iizumi, Mariam El-Ashmawy, Michelle Badri, James T. Morton, Nan Shen, Linchen He, Gaetane Michaud, Samaan Rafeq, Jamie L. Bessich, Robert L. Smith, Harald Sauthoff, Kevin Felner, Ray Pillai, Anastasia-Maria Zavitsanou, Sergei B. Koralov, Valeria Mezzano, Cynthia A. Loomis, Andre L. Moreira, William Moore, Aristotelis Tsirigos, Adriana Heguy, William N. Rom, Daniel H. Sterman, Harvey Pass, Jose C. Clemente, Huilin Li, Richard Bonneau, Kwok-Kin Wong, Thales Papagiannakopoulos, Leopoldo N. Segal
Summary: In lung cancer patients, dysbiosis of the lower airway microbiota is more prevalent in advanced stages and associated with poor prognosis, upregulation of IL17, PI3K pathways, etc. in the airway transcriptome. The dysbiosis with V. parvula in the lower airway of the KP lung cancer model leads to decreased survival and tumor progression.
Review
Cell Biology
Jiaming Xue, Joelle S. Suarez, Michael Minaai, Shuangjing Li, Giovanni Gaudino, Harvey I. Pass, Michele Carbone, Haining Yang
Summary: HMGB1 has been reassessed as a damage-associated molecular pattern protein with crucial roles in the extracellular matrix; Different isoforms of HMGB1 present distinctive physiological functions in diseases; Targeting HMGB1 as a therapeutic strategy involves antagonists interfering with its activity.
JOURNAL OF CELLULAR PHYSIOLOGY
(2021)
Review
Gastroenterology & Hepatology
Tomasz Wilmanski, Noa Rappaport, Christian Diener, Sean M. Gibbons, Nathan D. Price
Summary: This review discusses current approaches for defining and monitoring gut microbiome health, emphasizes the importance of identifying gut microbial ecological features resonant with host molecular phenotypes, and highlights certain gut microbial metabolites as potential biomarkers of gut microbiome health. It further explores how omics measurements and gut microbiome profiles can be integrated into sophisticated host-microbiome mechanistic models for personalized interventions.