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Dai T, Zhang R, Hong F, Yao J, Zhang Y, Wang Y. UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification. IEEE TRANSACTIONS ON MEDICAL IMAGING 2024; 43:2901-2912. [PMID: 38526891 DOI: 10.1109/tmi.2024.3381123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Vision-Language Pre-training (VLP) that utilizes the multi-modal information to promote the training efficiency and effectiveness, has achieved great success in vision recognition of natural domains and shown promise in medical imaging diagnosis for the Chest X-Rays (CXRs). However, current works mainly pay attention to the exploration on single dataset of CXRs, which locks the potential of this powerful paradigm on larger hybrid of multi-source CXRs datasets. We identify that although blending samples from the diverse sources offers the advantages to improve the model generalization, it is still challenging to maintain the consistent superiority for the task of each source due to the existing heterogeneity among sources. To handle this dilemma, we design a Conquer-and-Divide pre-training framework, termed as UniChest, aiming to make full use of the collaboration benefit of multiple sources of CXRs while reducing the negative influence of the source heterogeneity. Specially, the "Conquer" stage in UniChest encourages the model to sufficiently capture multi-source common patterns, and the "Divide" stage helps squeeze personalized patterns into different small experts (query networks). We conduct thorough experiments on many benchmarks, e.g., ChestX-ray14, CheXpert, Vindr-CXR, Shenzhen, Open-I and SIIM-ACR Pneumothorax, verifying the effectiveness of UniChest over a range of baselines, and release our codes and pre-training models at https://github.com/Elfenreigen/UniChest.
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Xu T, Zhang Z, Chen H, Cai R, Yang Q, Liu Q, Fan Y, Liu W, Yao C. Carboxypeptidase N2 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma. Front Oncol 2022; 12:843325. [PMID: 35686102 PMCID: PMC9170673 DOI: 10.3389/fonc.2022.843325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 04/06/2022] [Indexed: 01/05/2023] Open
Abstract
Carboxypeptidase N2 (CPN2) is a plasma metallo-protease that cleaves basic amino acids from the C-terminal of peptides and proteins. Emerging evidence showed that carboxypeptidases perform many diverse functions in the body and play key roles in tumorigenesis. However, the clinical significance and biological functions of CPN2 in lung adenocarcinoma remain unclear. Our study aimed to explore the potential role and functions of CPN2 in lung adenocarcinoma. The results showed that the transcription level of CPN2 was significantly increased in the tumor tissues of lung adenocarcinoma patients compared to the adjacent normal tissues in The Cancer Genome Atlas cohort (P < 0.05). The survival plots showed that the overall survival of patients with a high expression of CPN2 was significantly lower than that of patients with a low expression of CPN2, both in the Kaplan-Meier database and the clinical sample cohort (P < 0.05). The tissue microarray analysis found that CPN2 protein expression was significantly positively correlated with node status and tumor stage as well as tumor malignancy (P < 0.05). Further univariate and multivariate Cox regression analyses showed that CPN2 may act as an independent prognostic factor in patients with lung adenocarcinoma (P < 0.05). In addition, the analysis of co-expression genes from LinkedOmics showed that CPN2 was positively associated with many genes of fibrillar collagen family members and the PI3K-Akt pathway. The gene set enrichment analysis showed that a higher expression of CPN2 may participate in mTOR, TGF-BETA, NOTCH, TOLL-like-receptor, WNT, and MAPK signaling pathway in lung adenocarcinoma. Notably, the knockdown of CPN2 significantly inhibited the ability of cell proliferation, clone formation, invasion, and migration. Our findings suggested that the upregulation of CPN2 is associated with a worse clinical outcome in lung adenocarcinoma and cancer-related pathways, which laid the foundation for further research on CPN2 during carcinogenesis.
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Affiliation(s)
- Ting Xu
- Department of Blood Transfusion, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Zhe Zhang
- Department of Breast and Thyroid Surgery, Daping Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Hongqiang Chen
- Department of Environmental Health, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China.,Institute of Toxicology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China
| | - Ruili Cai
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.,Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China
| | - Qian Yang
- Department of Blood Transfusion, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Qi Liu
- Department of Blood Transfusion, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yahan Fan
- Department of Blood Transfusion, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wenbin Liu
- Department of Environmental Health, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China.,Institute of Toxicology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China
| | - Chunyan Yao
- Department of Blood Transfusion, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
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Alkatout I, Biebl M, Momenimovahed Z, Giovannucci E, Hadavandsiri F, Salehiniya H, Allahqoli L. Has COVID-19 Affected Cancer Screening Programs? A Systematic Review. Front Oncol 2021; 11:675038. [PMID: 34079764 PMCID: PMC8165307 DOI: 10.3389/fonc.2021.675038] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 04/14/2021] [Indexed: 12/11/2022] Open
Abstract
Background Health care services across the world have been enormously affected by the onset of the coronavirus disease 2019 (COVID-19). Services in oncology have been curtailed because medical services have been focused on preventing the spread of the virus and maximizing the number of available hospital beds. The present study was designed to investigate the impact of COVID-19 on cancer screening. Methods Databases such as Medline, Web of Science Core Collection (Indexes = SCI-EXPANDED, SSCI, A & HCI Timespan) and Scopus were searched comprehensively for articles published until January 2021. The keywords used were COVID-19 and cancer screening, Articles dealing with cancer screening in the COVID-19 pandemic were included in the review. Results The review comprised 17 publications. The impact of COVID-19 was categorized into four dimensions: a significant decline in cancer screening and pathology samples, the cancer diagnosis rate, an increase in advanced cancers, mortality rate and years of life lost (YLLs). Conclusion Cancer screening programs have been clearly interrupted since the onset of the COVID-19 disease. The anticipated outcomes include delayed diagnosis and marked increases in the numbers of avoidable cancer deaths. Urgent policy interventions are needed to handle the backlog of routine diagnostic services and minimize the harmful effects of the COVID-19 pandemic on cancer patients.
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Affiliation(s)
- Ibrahim Alkatout
- Kiel School of Gynaecological Endoscopy, University Hospitals Schleswig-Holstein, Kiel, Germany
| | - Matthias Biebl
- Department of Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Zohre Momenimovahed
- Department of Midwifery and Reproductive Health, Faculty of Nursing and Midwifery, Qom University of Medical Sciences, Qom, Iran
| | - Edward Giovannucci
- Departments of Nutrition and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Fatemeh Hadavandsiri
- Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamid Salehiniya
- Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Leila Allahqoli
- School of Public Health, Iran University of Medical Sciences (IUMS), Tehran, Iran
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