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Lv Q, Lin J, Huang H, Ma B, Li W, Chen J, Wang M, Wang X, Fu G, Xiao Y. Nanosponge for Iron Chelation and Efflux: A Ferroptosis-Inhibiting Approach for Myocardial Infarction Therapy. Adv Sci (Weinh) 2024:e2305895. [PMID: 38671590 DOI: 10.1002/advs.202305895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 04/11/2024] [Indexed: 04/28/2024]
Abstract
Myocardial infarction (MI), a consequence of coronary artery occlusion, triggers the degradation of ferritin, resulting in elevated levels of free iron in the heart and thereby inducing ferroptosis. Targeting myocardial ferroptosis through the chelation of excess iron has therapeutic potential for MI treatment. However, iron chelation in post ischemic injury areas using conventional iron-specific chelators is hindered by ineffective myocardial intracellular chelation, rapid clearance, and high systemic toxicity. A chitosan-desferrioxamine nanosponge (CDNS) is designed by co-crosslinking chitosan and deferoxamine through noncovalent gelation to address these challenges. This architecture facilitates direct iron chelation regardless of deferoxamine (DFO) release due to its sponge-like porous hydrogel structure. Upon cellular internalization, CDNS can effectively chelate cellular iron and facilitate the efflux of captured iron, thereby inhibiting ferroptosis and associated oxidative stress and lipid peroxidation. In MI mouse models, myocardial injection of CDNS promotes sustainable retention and the suppression of ferroptosis in the infarcted heart. This intervention improves cardiac function and alleviates adverse cardiac remodeling post-MI, leading to decreased oxidative stress and the promotion of angiogenesis due to ferroptosis inhibition by CDNS in the infarcted heart. This study reveals a nanosponge-based nanomedicine targeting myocardial ferroptosis with efficient iron chelation and efflux, offering a promising MI treatment.
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Affiliation(s)
- Qingbo Lv
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
| | - Jun Lin
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
- Department of Cardiovascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - He Huang
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
| | - Boxuan Ma
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
| | - Wujiao Li
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
| | - Jiawen Chen
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
| | - Meihui Wang
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
| | - Xiaoyu Wang
- Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, 310058, China
| | - Guosheng Fu
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
| | - Yun Xiao
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
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Zhao YM, Wang WH, Zhang W, Wang L, Li S, Wang JW, Liao LE, Yu GY, Sun Z, Qu YL, Gong Y, Lu Y, Wu T, Li YF, Wang Q, Zhao GH, Xiao Y, Ding PR, Zhang Z, Wu AW. [Long-term outcome of patients with rectal cancer who achieve complete or near complete clinical responses after neoadjuvant therapy: a multicenter registry study of data from the Chinese Watch and Wait Database]. Zhonghua Wei Chang Wai Ke Za Zhi 2024; 27:372-382. [PMID: 38644243 DOI: 10.3760/cma.j.cn441530-20240227-00074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Objective: To report the long-term outcomes of Chinese rectal cancer patients after adopting a Watch and Wait (W&W) strategy following neoadjuvant therapy (NAT). Methods: This multicenter, cross-sectional study was based on real-world data. The study cohort comprised rectal cancer patients who had achieved complete or near complete clinical responses (cCRs, near-cCRs) after NAT and were thereafter managed by a W&W approach, as well as a few patients who had achieved good responses after NAT and had then undergone local excision for confirmation of pathological complete response. All participants had been followed up for ≥2 years. Patients with distant metastases at baseline or who opted for observation while living with the tumor were excluded. Data of eligible patients were retrospectively collected from the Chinese Wait-and-Watch Data Collaboration Group database. These included baseline characteristics, type of NAT, pre-treatment imaging results, evaluation of post-NAT efficacy, salvage measures, and treatment outcomes. We herein report the long-term outcomes of Chinese rectal cancer patients after NAT and W&W and the differences between the cCR and near-cCR groups. Results: Clinical data of 318 rectal cancer patients who had undergone W&W for over 2 years and been followed up were collected from eight medical centers (Peking University Cancer Hospital, Fudan University Shanghai Cancer Center, Sun Yat-sen University Cancer Center, Shanghai Changhai Hospital, Peking Union Medical College Hospital, Liaoning Cancer Hospital, the First Hospital of Jilin University, and Yunnan Cancer Hospital.) The participants comprised 221 men (69.4%) and 107 women (30.6%) of median age 60 (26-86) years. The median distance between tumor and anal verge was 3.4 (0-10.4) cm. Of these patients, 291 and 27 had achieved cCR or near-cCR, respectively, after NAT. The median duration of follow-up was 48.4 (10.2-110.3) months. The 5-year cumulative overall survival rate was 92.4% (95%CI: 86.8%-95.7%), 5-year cumulative disease-specific survival (CSS) rate 96.6% (95%CI: 92.2%-98.5%), 5-year cumulative organ-preserving disease-free survival rate 86.6% (95%CI: 81.0%-90.7%), and 5-year organ preservation rate 85.3% (95%CI: 80.3%-89.1%). The overall 5-year local recurrence and distant metastasis rates were 18.5% (95%CI: 14.9%-20.8%) and 8.2% (95%CI: 5.4%-12.5%), respectively. Most local recurrences (82.1%, 46/56) occurred within 2 years, and 91.0% (51/56) occurred within 3 years, the median time to recurrence being 11.7 (2.5-66.6) months. Most (91.1%, 51/56) local recurrences occurred within the intestinal lumen. Distant metastases developed in 23 patients; 60.9% (14/23) occurred within 2 years and 73.9% (17/23) within 3 years, the median time to distant metastasis being 21.9 (2.6-90.3) months. Common sites included lung (15/23, 65.2%), liver (6/23, 26.1%), and bone (7/23, 30.4%) The metastases involved single organs in 17 patients and multiple organs in six. There were no significant differences in overall, cumulative disease-specific, or organ-preserving disease-free survival or rate of metastases between the two groups (all P>0.05). The 5-year local recurrence rate was higher in the near-cCR than in the cCR group (41.6% vs. 16.4%, P<0.01), with a lower organ preservation rate (69.2% vs. 88.0%, P<0.001). The success rates of salvage after local recurrence and distant metastasis were 82.1% (46/56) and 13.0% (3/23), respectively. Conclusion: Rectal cancer patients who achieve cCR or near-cCR after NAT and undergo W&W have favorable oncological outcomes and a high rate of organ preservation. Local recurrence and distant metastasis during W&W follow certain patterns, with a relatively high salvage rate for local recurrence. Our findings highlight the importance of close follow-up and timely intervention during the W&W process.
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Affiliation(s)
- Y M Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing),Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142,China
| | - W H Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - W Zhang
- Department of Colorectal Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - L Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing),Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142,China
| | - S Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - J W Wang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China
| | - L E Liao
- Department of Colorectal Surgery, Sun Yat - sen University Cancer Center, Guangzhou 510060, China
| | - G Y Yu
- Department of Colorectal Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - Z Sun
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y L Qu
- Department of General Surgery, Liaoning Cancer Hospital, Shenyang 110042, China
| | - Y Gong
- Department of Gastrocolorectal Surgery, the First Hospital of Jilin University, Changchun 130021,China
| | - Y Lu
- Department of General Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266555,China
| | - T Wu
- Department of Colorectal Surgery, Yunnan Cancer Hospital, Kunming 650118, China
| | - Y F Li
- Department of Colorectal Surgery, Yunnan Cancer Hospital, Kunming 650118, China
| | - Q Wang
- Department of Gastrocolorectal Surgery, the First Hospital of Jilin University, Changchun 130021,China
| | - G H Zhao
- Department of General Surgery, Liaoning Cancer Hospital, Shenyang 110042, China
| | - Y Xiao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - P R Ding
- Department of Colorectal Surgery, Sun Yat - sen University Cancer Center, Guangzhou 510060, China
| | - Z Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China
| | - A W Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing),Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142,China State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142, China
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Huang C, Zhao L, Xiao Y, Tang Z, Jing L, Guo K, Tian L, Zong C. M2 macrophage-derived exosomes carry miR-142-3p to restore the differentiation balance of irradiated BMMSCs by targeting TGF-β1. Mol Cell Biochem 2024; 479:993-1010. [PMID: 37269411 DOI: 10.1007/s11010-023-04775-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/19/2023] [Indexed: 06/05/2023]
Abstract
Radiotherapy is essential to cancer treatment, while it inevitably injures surrounding normal tissues, and bone tissue is one of the most common sites prone to irradiation. Bone marrow mesenchymal stem cells (BMMSCs) are sensitive to irradiation and the irradiated dysfunction of BMMSCs may be closely related to irradiation-induced bone damage. Macropahges play important role in regulating stem cell function, bone metabolic balance and irradiation response, but the effects of macrophages on irradiated BMMSCs are still unclear. This study aimed to investigate the role of macrophages and macrophage-derived exosomes in restoring irradiated BMMSCs function. The effects of macrophage conditioned medium (CM) and macrophage-derived exosomes on osteogenic and fibrogenic differentiation capacities of irradiated BMMSCs were detected. The key microribonucleic acids (miRNAs) and targeted proteins in exosomes were also determined. The results showed that irradiation significantly inhibited the proliferation of BMMSCs, and caused differentiation imbalance of BMMSCs, with decreased osteogenic differentiation and increased fibrogenic differentiation. M2 macrophage-derived exosomes (M2D-exos) inhibited the fibrogenic differentiation and promoted the osteogenic differentiation of irradiated BMMSCs. We identified that miR-142-3p was significantly overexpressed in M2D-exos and irradiated BMMSCs treated with M2D-exos. After inhibition of miR-142-3p in M2 macrophage, the effects of M2D-exos on irradiated BMMSCs differentiation were eliminated. Furthermore, transforming growth factor beta 1 (TGF-β1), as a direct target of miR-142-3p, was significantly decreased in irradiated BMMSCs treated with M2D-exos. This study indicated that M2D-exos could carry miR-142-3p to restore the differentiation balance of irradiated BMMSCs by targeting TGF-β1. These findings pave a new way for promising and cell-free method to treat irradiation-induced bone damage.
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Affiliation(s)
- Chong Huang
- Key Laboratory of Biotechnology Shaanxi Province, College of Life Sciences, Northwest University, 229 Taibai North Road, 710069, Xi'an, People's Republic of China
| | - Lu Zhao
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University, 145 West Changle Road, Xi'an, 710032, People's Republic of China
| | - Yun Xiao
- School of Stomatology, Jiamusi University, 522 Hongqi Street, Jiamusi, 154000, People's Republic of China
| | - Zihao Tang
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University, 145 West Changle Road, Xi'an, 710032, People's Republic of China
| | - Li Jing
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University, 145 West Changle Road, Xi'an, 710032, People's Republic of China
| | - Kai Guo
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University, 145 West Changle Road, Xi'an, 710032, People's Republic of China
| | - Lei Tian
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University, 145 West Changle Road, Xi'an, 710032, People's Republic of China.
| | - Chunlin Zong
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University, 145 West Changle Road, Xi'an, 710032, People's Republic of China.
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Li J, Yang Y, Xia Y, Luo S, Lin J, Xiao Y, Li X, Huang G, Yang L, Xie Z, Zhou Z. Effect of SIRT1 gene single-nucleotide polymorphisms on susceptibility to type 1 diabetes in a Han Chinese population. J Endocrinol Invest 2024; 47:819-826. [PMID: 37695462 DOI: 10.1007/s40618-023-02190-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 08/25/2023] [Indexed: 09/12/2023]
Abstract
AIMS SIRT1 deficiency has been associated with diabetes, and a variant of the SIRT1 gene has been found to be involved in human autoimmune diabetes; however, it is unclear whether this genetic variation exists in Han Chinese with type 1 diabetes (T1D) and whether it contributes to development of T1D. Therefore, we aimed to explore the association of the SIRT1 gene single-nucleotide polymorphisms (SNPs) rs10997866 and rs3818292 in a Han Chinese population with T1D. METHODS This study recruited 2653 unrelated Han Chinese individuals, of whom 1289 had T1D and 1364 were healthy controls. Allelic and genotypic distributions of SIRT1 polymorphisms (rs10997866 and rs3818292) were determined by MassARRAY. Basic characteristics, genotype and allele frequencies of selected SNPs were compared between the T1D patients and healthy controls. Further genotype-phenotype association analysis of the SNPs was performed on the T1D patients divided into three groups according to genotype. Statistical analyses included the chi-square test, Mann‒Whitney U test, Kruskal‒Wallis H test and logistic regression. RESULTS The allelic (G vs. A) and genotypic (GA vs. AA) distributions of SIRT1 rs10997866 were significantly different in T1D patients and healthy controls (P = 0.039, P = 0.027), and rs10997866 was associated with T1D susceptibility under dominant, overdominant and additive models (P = 0.026, P = 0.030 and P = 0.027, respectively). Moreover, genotype-phenotype association analysis showed the GG genotype of rs10997866 and the GG genotype of rs3818292 to be associated with higher titers of IA-2A (P = 0.013 and P = 0.038, respectively). CONCLUSION SIRT1 rs10997866 is significantly associated with T1D susceptibility, with the minor allele G conferring a higher risk of T1D. Moreover, SIRT1 gene rs10997866 and rs3818292 correlate with the titer of IA-2A in Han Chinese individuals with T1D.
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Affiliation(s)
- J Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Y Yang
- Department of Laboratory Medicine, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Y Xia
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - S Luo
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - J Lin
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Y Xiao
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - X Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - G Huang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - L Yang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Z Xie
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
| | - Z Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes, Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
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Xiao Y, Wang Q, Zhang H, Nederlof R, Bakker D, Siadari BA, Wesselink MW, Preckel B, Weber NC, Hollmann MW, Schomakers BV, van Weeghel M, Zuurbier CJ. Insulin and glycolysis dependency of cardioprotection by nicotinamide riboside. Basic Res Cardiol 2024:10.1007/s00395-024-01042-4. [PMID: 38528175 DOI: 10.1007/s00395-024-01042-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 03/27/2024]
Abstract
Decreased nicotinamide adenine dinucleotide (NAD+) levels contribute to various pathologies such as ageing, diabetes, heart failure and ischemia-reperfusion injury (IRI). Nicotinamide riboside (NR) has emerged as a promising therapeutic NAD+ precursor due to efficient NAD+ elevation and was recently shown to be the only agent able to reduce cardiac IRI in models employing clinically relevant anesthesia. However, through which metabolic pathway(s) NR mediates IRI protection remains unknown. Furthermore, the influence of insulin, a known modulator of cardioprotective efficacy, on the protective effects of NR has not been investigated. Here, we used the isolated mouse heart allowing cardiac metabolic control to investigate: (1) whether NR can protect the isolated heart against IRI, (2) the metabolic pathways underlying NR-mediated protection, and (3) whether insulin abrogates NR protection. NR protection against cardiac IRI and effects on metabolic pathways employing metabolomics for determination of changes in metabolic intermediates, and 13C-glucose fluxomics for determination of metabolic pathway activities (glycolysis, pentose phosphate pathway (PPP) and mitochondrial/tricarboxylic acid cycle (TCA cycle) activities), were examined in isolated C57BL/6N mouse hearts perfused with either (a) glucose + fatty acids (FA) ("mild glycolysis group"), (b) lactate + pyruvate + FA ("no glycolysis group"), or (c) glucose + FA + insulin ("high glycolysis group"). NR increased cardiac NAD+ in all three metabolic groups. In glucose + FA perfused hearts, NR reduced IR injury, increased glycolytic intermediate phosphoenolpyruvate (PEP), TCA intermediate succinate and PPP intermediates ribose-5P (R5P) / sedoheptulose-7P (S7P), and was associated with activated glycolysis, without changes in TCA cycle or PPP activities. In the "no glycolysis" hearts, NR protection was lost, whereas NR still increased S7P. In the insulin hearts, glycolysis was largely accelerated, and NR protection abrogated. NR still increased PPP intermediates, with now high 13C-labeling of S7P, but NR was unable to increase metabolic pathway activities, including glycolysis. Protection by NR against IRI is only present in hearts with low glycolysis, and is associated with activation of glycolysis. When activation of glycolysis was prevented, through either examining "no glycolysis" hearts or "high glycolysis" hearts, NR protection was abolished. The data suggest that NR's acute cardioprotective effects are mediated through glycolysis activation and are lost in the presence of insulin because of already elevated glycolysis.
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Affiliation(s)
- Y Xiao
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Institute, Amsterdam, The Netherlands
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, People's Republic of China
| | - Q Wang
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Institute, Amsterdam, The Netherlands
| | - H Zhang
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Institute, Amsterdam, The Netherlands
| | - R Nederlof
- Institut für Herz- und Kreislaufphysiologie, Medizinische fakultät und Universitätsklinikum Düsseldorf, Heinrich- Heine- Universität Düsseldorf, Düsseldorf, Germany
| | - D Bakker
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Institute, Amsterdam, The Netherlands
| | - B A Siadari
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - M W Wesselink
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - B Preckel
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Institute, Amsterdam, The Netherlands
| | - N C Weber
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Institute, Amsterdam, The Netherlands
| | - M W Hollmann
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Institute, Amsterdam, The Netherlands
| | - B V Schomakers
- Laboratory Genetic Metabolic Diseases, Location Academic Medical Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
- Core Facility Metabolomics, Location Academic Medical Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - M van Weeghel
- Amsterdam Cardiovascular Sciences Institute, Amsterdam, The Netherlands
- Laboratory Genetic Metabolic Diseases, Location Academic Medical Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
- Core Facility Metabolomics, Location Academic Medical Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism Institute, Amsterdam, The Netherlands
| | - C J Zuurbier
- Amsterdam UMC, Laboratory of Experimental Intensive Care and Anesthesiology, Department of Anesthesiology, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
- Amsterdam Cardiovascular Sciences Institute, Amsterdam, The Netherlands.
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Jiang JY, Liang D, Wang L, Xiao Y, Liang YF, Ke BX, Su J, Xiao H, Wang T, Zou M, Li HJ, Ke CW. Epidemiological Surveillance: Genetic Diversity of Rotavirus Group A in the Pearl River Delta, Guangdong, China in 2019. Biomed Environ Sci 2024; 37:278-293. [PMID: 38582992 DOI: 10.3967/bes2024.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 10/24/2023] [Indexed: 04/08/2024]
Abstract
Objective This study aimed to understand the epidemic status and phylogenetic relationships of rotavirus group A (RVA) in the Pearl River Delta region of Guangdong Province, China. Methods This study included individuals aged 28 days-85 years. A total of 706 stool samples from patients with acute gastroenteritis collected between January 2019 and January 2020 were analyzed for 17 causative pathogens, including RVA, using a Gastrointestinal Pathogen Panel, followed by genotyping, virus isolation, and complete sequencing to assess the genetic diversity of RVA. Results The overall RVA infection rate was 14.59% (103/706), with an irregular epidemiological pattern. The proportion of co-infection with RVA and other pathogens was 39.81% (41/103). Acute gastroenteritis is highly prevalent in young children aged 0-1 year, and RVA is the key pathogen circulating in patients 6-10 months of age with diarrhea. G9P[8] (58.25%, 60/103) was found to be the predominant genotype in the RVA strains, and the 41 RVA-positive strains that were successfully sequenced belonged to three different RVA genotypes in the phylogenetic analysis. Recombination analysis showed that gene reassortment events, selection pressure, codon usage bias, gene polymorphism, and post-translational modifications (PTMs) occurred in the G9P[8] and G3P[8] strains. Conclusion This study provides molecular evidence of RVA prevalence in the Pearl River Delta region of China, further enriching the existing information on its genetics and evolutionary characteristics and suggesting the emergence of genetic diversity. Strengthening the surveillance of genotypic changes and gene reassortment in RVA strains is essential for further research and a better understanding of strain variations for further vaccine development.
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Affiliation(s)
- Jie Ying Jiang
- School of Public Health, Shantou University, Shantou 515063, Guangdong, China;Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou 511430, Guangdong, China
| | - Dan Liang
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou 511430, Guangdong, China;Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, Guangzhou 510632, Guangdong, China
| | - Li Wang
- School of Public Health, Sun Yat-sen University, Guangzhou 510275, Guangdong, China
| | - Yun Xiao
- School of Public Health, Southern Medical University, Guangzhou 510515, Guangdong, China
| | - Yu Feng Liang
- School of Public Health, Southern Medical University, Guangzhou 510515, Guangdong, China
| | - Bi Xia Ke
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou 511430, Guangdong, China
| | - Juan Su
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou 511430, Guangdong, China
| | - Hong Xiao
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou 511430, Guangdong, China
| | - Tao Wang
- Shantou University Medical College, Shantou 515041, Guangdong, China
| | - Min Zou
- School of Public Health, Sun Yat-sen University, Guangzhou 510275, Guangdong, China
| | - Hong Jian Li
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, Guangzhou 510632, Guangdong, China
| | - Chang Wen Ke
- School of Public Health, Shantou University, Shantou 515063, Guangdong, China;Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou 511430, Guangdong, China;School of Public Health, Sun Yat-sen University, Guangzhou 510275, Guangdong, China;School of Public Health, Southern Medical University, Guangzhou 510515, Guangdong, China;Shantou University Medical College, Shantou 515041, Guangdong, China
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7
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Ji Y, Zhong Q, Yu M, Yan H, Li L, Li Q, Xu H, Li S, Chen P, Zhao L, Jia X, Xiao Y, Zhang Y, Xu F, Zhao L, Luo D, Yang X, Gong Q, Wang X, Zhu R. Amphoteric Chelating Ultrasmall Colloids for FAPbI 3 Nanodomains Enable Efficient Near-Infrared Light-Emitting Diodes. ACS Nano 2024; 18:8157-8167. [PMID: 38456777 DOI: 10.1021/acsnano.3c11941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
Perovskite light-emitting diodes (PeLEDs) are the next promising display technologies because of their high color purity and wide color gamut, while two classical emitter forms, i.e., polycrystalline domains and quantum dots, are encountering bottlenecks. Weak carrier confinement of large polycrystalline domains leads to inadequate radiative recombination, and surface ligands on quantum dots are the main annihilation sites for injected carriers. Here, pinpointing these issues, we screened out an amphoteric agent, namely, 2-(2-aminobenzoyl)benzoic acid (2-BA), to precisely control the in situ growth of FAPbI3 (FA: formamidine) nanodomains with enhanced space confinement, preferred crystal orientation, and passivated trap states on the transport-layer substrate. The amphoteric 2-BA performs bidentate chelating functions on the formation of ultrasmall perovskite colloids (<1 nm) in the precursor, resulting in a smoother FAPbI3 emitting layer. Based on monodispersed and homogeneous nanodomain films, a near-infrared PeLED device with a champion efficiency of >22% plus enhanced T80 operational stability was achieved. The proposed perovskite nanodomain film tends to be a mainstream emitter toward the performance breakthrough of PeLED devices covering visible wavelengths beyond infrared.
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Affiliation(s)
- Yongqiang Ji
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Qixuan Zhong
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Maotao Yu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Haoming Yan
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Lei Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Qiuyang Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Hongyu Xu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Shunde Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Peng Chen
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Lei Zhao
- Key Laboratory for Special Functional Materials of Ministry of Education, Henan University, Kaifeng, 475001, China
| | - Xiaohan Jia
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge CB3 0HE, U.K
| | - Yun Xiao
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
- Clarendon Laboratory, Department of Physics, University of Oxford, Parks Road, Oxford, OX1 3PU, U.K
| | - Yuzhuo Zhang
- State Key Laboratory of Chemical Resource Engineering, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Fan Xu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
- Shenzhen BTR New Energy Technology Institute Co., Ltd, Shenzhen, 518118, China
| | - Lichen Zhao
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Deying Luo
- Department of Materials Science and Engineering, University of Toronto, Toronto, Ontario M5G 3E4, Canada
| | - Xiaoyu Yang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
- Leyard Optoelectronic Co., Ltd, Beijing, 100091, China
| | - Qihuang Gong
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
- Peking University Yangtze Delta Institute of Optoelectronics, Nantong, Jiangsu 226010, China
- Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi 030006, China
| | - Xinqiang Wang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
- Peking University Yangtze Delta Institute of Optoelectronics, Nantong, Jiangsu 226010, China
| | - Rui Zhu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
- Peking University Yangtze Delta Institute of Optoelectronics, Nantong, Jiangsu 226010, China
- Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi 030006, China
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Xu K, Xiao Y, Luo J, Chao X, Wang R, Fan Z, Wang H, Xu L. Research progress on incomplete partition type 3 inner ear malformation. Eur Arch Otorhinolaryngol 2024:10.1007/s00405-024-08555-7. [PMID: 38498189 DOI: 10.1007/s00405-024-08555-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 02/12/2024] [Indexed: 03/20/2024]
Abstract
PURPOSE This review aims to provides a comprehensive overview of the latest research progress on IP-III inner ear malformation, focusing on its geneticbasis, imaging features, cochlear implantation, and outcome. METHODS Review the literature on clinical and genetic mechanisms associated with IP-III. RESULTS Mutations in the POU3F4 gene emerge as the principal pathogenic contributors to IP-III anomalies, primarily manifesting through inner ear potential irregularities leading to deafness. While cochlear implantation stands as the primary intervention for restoring hearing, the unique nature of the inner ear anomaly escalates the complexity of surgical procedures and postoperative results. Hence, meticulous preoperative assessment to ascertain surgical feasibility and postoperative verification of electrode placement are imperative. Additionally, gene therapy holds promise as a prospective treatment modality. CONCLUSIONS IP-III denotes X-linked recessive hereditary deafness, with cochlear implantation currently serving as the predominant therapeutic approach. Clinicians are tasked with preoperative assement and individualized postoperative rehabilitation.
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Affiliation(s)
- Kaifan Xu
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Department of Auditory Implantology, Second People's Hospital of Shandong Province, jinan, China
- Shandong Institute of Otorhinolaryngology, jinan, China
| | - Yun Xiao
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Shandong Institute of Otorhinolaryngology, jinan, China
| | - Jianfen Luo
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Department of Auditory Implantology, Second People's Hospital of Shandong Province, jinan, China
| | - Xiuhua Chao
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Department of Auditory Implantology, Second People's Hospital of Shandong Province, jinan, China
| | - Ruijie Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Department of Auditory Implantology, Second People's Hospital of Shandong Province, jinan, China
| | - Zhaoming Fan
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
| | - Haibo Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
| | - Lei Xu
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China.
- Department of Auditory Implantology, Second People's Hospital of Shandong Province, jinan, China.
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Zhu J, Yin W, Xiao Y, Yuan ML, Ni F, Hu Y. [Application of interventional respiratory techniques in the treatment of pulmonary bullae:an update]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:259-264. [PMID: 38448179 DOI: 10.3760/cma.j.cn112147-20230902-00129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Pulmonary bullae is a common complication of chronic obstructive pulmonary disease(COPD), causing the deterioration in lung function, leading to aggravated dyspnea and poor quality of life for patients. The traditional therapeutic approach for pulmonary bullae is bullectomy using surgical thoracoscopy. The disadvantage of this approach is the postoperative complications and high risk of recurrence in many patients. In addition, for some patients, due to the patient's physical conditions, such as poor lung function and other diseases, bullectomy could not be used. Therefore, new alternative approaches were urgently needed. In recent years, interventional respiratory technology has been trialed to treat pulmonary bulla all around the world and has achieved great success. In this paper, we reviewed the relevant clinical research progress of interventional respiratory medicine techniques in the treatment of pulmonary bullae.
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Affiliation(s)
- J Zhu
- Department of Pulmonary and Critical Care Medicine, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology & Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014,China
| | - W Yin
- Department of Pulmonary and Critical Care Medicine, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology & Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014,China
| | - Y Xiao
- Department of Pulmonary and Critical Care Medicine, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology & Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014,China
| | - M L Yuan
- Department of Pulmonary and Critical Care Medicine, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology & Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014,China
| | - F Ni
- Department of Pulmonary and Critical Care Medicine, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology & Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014,China
| | - Y Hu
- Department of Pulmonary and Critical Care Medicine, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology & Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014,China
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10
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Guo JW, Xiao Y. [Impact of COVID-19 on the treatment of sleep medicine]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:292-296. [PMID: 38448185 DOI: 10.3760/cma.j.cn112147-20230809-00056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
The outbreak of coronavirus disease 2019 (COVID-19) has become a major threat to the global healthcare system. As an airborne disease, COVID-19 posed a great challenge to the management of sleep medicine. Given the increased risk of adverse events in obstructive sleep apnea patients infected with COVID-19, strategies have been proposed worldwide. These include standard treatment procedure, use of self-protect equipment, telemedicine services, development of machine learning and portable monitoring, and in-home sleep monitoring and titration. This review aims to introduce the impact of COVID-19 on the operation of sleep medicine landscape and provide advice on public health care emergency.
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Affiliation(s)
- J W Guo
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Xiao
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College Chinese Academy of Medical Sciences, Beijing 100730, China
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11
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Liu L, Li C, Xiao Y, Ruan R, Fan M. RGBT Tracking via Challenge-Based Appearance Disentanglement and Interaction. IEEE Trans Image Process 2024; 33:1753-1767. [PMID: 38442061 DOI: 10.1109/tip.2024.3371355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
RGB and thermal source data suffer from both shared and specific challenges, and how to explore and exploit them plays a critical role in representing the target appearance in RGBT tracking. In this paper, we propose a novel approach, which performs target appearance representation disentanglement and interaction via both modality-shared and modality-specific challenge attributes, for robust RGBT tracking. In particular, we disentangle the target appearance representations via five challenge-based branches with different structures according to their properties, including three parameter-shared branches to model modality-shared challenges and two parameter-independent branches to model modality-specific challenges. Considering the complementary advantages between modality-specific cues, we propose a guidance interaction module to transfer discriminative features from one modality to another one to enhance the discriminative ability of weak modality. Moreover, we design an aggregation interaction module to combine all challenge-based target representations, which could form more discriminative target representations and fit the challenge-agnostic tracking process. These challenge-based branches are able to model the target appearance under certain challenges so that the target representations can be learned by a few parameters even in the situation of insufficient training data. In addition, to relieve labor costs and avoid label ambiguity, we design a generation strategy to generate training data with different challenge attributes. Comprehensive experiments demonstrate the superiority of the proposed tracker against the state-of-the-art methods on four benchmark datasets.
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12
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Guo Q, Lu T, Huang W, Xu H, Zhang Q, Xiao Y, Zhong J, Xie H, Chen J, Zong J, Gong X, Pan J, Li J, Lin S. Selectively sparing of the supraclavicular area during intensity-modulated radiotherapy in nasopharyngeal carcinoma: A double-center observation study. Radiother Oncol 2024; 192:110086. [PMID: 38184146 DOI: 10.1016/j.radonc.2024.110086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 12/25/2023] [Accepted: 01/01/2024] [Indexed: 01/08/2024]
Abstract
BACKGROUND AND PURPOSE This study was aimed at evaluating the feasibility of sparing the supraclavicular area, namely levels IVb and Vc, during intensity-modulated radiotherapy (IMRT) in nasopharyngeal carcinoma (NPC) patients with N1-2 disease[except N1 disease with purely restropharyngeal lymph nodes(RPN) involvement], and providing a basis for the revision of International Guideline for the delineation of the clinical target volume (CTV). PATIENTS AND MATERIALS Patients with NPC (stage TanyN1-2M0) diagnosed pathologically in Fujian Cancer Hospital (Center 1, Only Lin SJ's attending group) from January 2014 to March 2018 and Jiangxi Cancer Hospital(Center 2) from January 2014 to December 2015 were included. According to our principle, the supraclavicular area (levels IVb and Vc) were excluded from the CTVnd. Survival outcomes focused on regional recurrence-free survival (RRFS) and recurrence rates of levels IVb and Vc were analysed. RESULTS A total of 672 eligible patients were recruited (Center 1, n = 362; Center 2, n = 310). There was no significant difference in 5-year RRFS (97.33 % vs. 97.24 %, p = 0.980), overall survival (OS) (89.14 % vs. 88.56 %, p = 0.327), local recurrence-free survival (LRFS) (94.90 % vs. 95.30 %, p = 0.593) and distant metastasis-free survival (DMFS) (89.38 % vs. 86.60 %, p = 0.130) between Center 1 and Center 2. Twenty patients developed regional failure (median: 36 months), among them, only one case (0.15 %) was recorded as levels IVb and Vc recurrence. CONCLUSION Omitting the supraclavicular area (levels IVb and Vc) during IMRT should be safe and feasible for N1-2 disease (except N1 disease with purely RPN involvement). Well-designed multicenter prospective trials should be conducted to confirm our findings.
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Affiliation(s)
- Qiaojuan Guo
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Tianzhu Lu
- Department of Radiation Oncology, Jiangxi Cancer Hospital Nanchang, China; NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma (Jiangxi Cancer Hospital of Nanchang Medical College), 519 East Beijing Road, Nanchang, Jiangxi 330029, China
| | - Wanfang Huang
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
| | - Hanchuan Xu
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
| | - Quxia Zhang
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
| | - Yun Xiao
- Department of Radiation Oncology, Jiangxi Cancer Hospital Nanchang, China; NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma (Jiangxi Cancer Hospital of Nanchang Medical College), 519 East Beijing Road, Nanchang, Jiangxi 330029, China
| | - Jing Zhong
- Department of Radiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
| | - Honghui Xie
- Department of Radiation Oncology, Jiangxi Cancer Hospital Nanchang, China; NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma (Jiangxi Cancer Hospital of Nanchang Medical College), 519 East Beijing Road, Nanchang, Jiangxi 330029, China
| | - Jihong Chen
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
| | - Jingfeng Zong
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
| | - Xiaochang Gong
- Department of Radiation Oncology, Jiangxi Cancer Hospital Nanchang, China; NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma (Jiangxi Cancer Hospital of Nanchang Medical College), 519 East Beijing Road, Nanchang, Jiangxi 330029, China
| | - Jianji Pan
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Jingao Li
- Department of Radiation Oncology, Jiangxi Cancer Hospital Nanchang, China; NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma (Jiangxi Cancer Hospital of Nanchang Medical College), 519 East Beijing Road, Nanchang, Jiangxi 330029, China.
| | - Shaojun Lin
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China.
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13
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Zhong ML, Liu YC, Yang JT, Wang YN, Ao MH, Xiao Y, Zeng SY, Liang MR. Treatment for locally resectable stage IIIC1r cervical cancer: surgery or chemoradiotherapy? BMC Cancer 2024; 24:217. [PMID: 38360572 PMCID: PMC10870469 DOI: 10.1186/s12885-024-11944-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 02/01/2024] [Indexed: 02/17/2024] Open
Abstract
OBJECTIVE The aim of this study was to compare the therapeutic value and treatment-related complications of radical hysterectomy with those of concurrent chemoradiotherapy (CCRT) for locally resectable (T1a2-T2a1) stage IIIC1r cervical cancer. METHODS A total of 213 patients with locally resectable stage IIIC1r cervical cancer who had been treated at Jiangxi Maternal and Child Health Care Hospital between January 2013 and December 2021 were included in the study and classified into two groups: surgery (148 patients) and CCRT (65 patients). The disease-free survival (DFS) rate, overall survival (OS) rate, side effects, and economic costs associated with the two groups were compared. RESULTS 43.9% (65/148) patients in the surgical group had no pelvic lymph node metastasis, and 21of them did not require supplementary treatment after surgery due to a low risk of postoperative pathology. The median follow-up time was 46 months (range: 7-108 months). The five-year DFS and OS rates of the surgery group were slightly higher than those of the CCRT group (80.7% vs. 75.1% and 81.6% vs. 80.6%, respectively; p > 0.05). The incidences of grade III-IV gastrointestinal reactions in the surgery and CCRT groups were 5.5% and 9.2%, respectively (p = 0.332). Grade III-IV myelosuppression was identified in 27.6% of the surgery group and 26.2% of the CCRT group (p = 0.836). The per capita treatment cost was higher for the surgery group than for the CCRT group (RMB 123, 918.6 0 vs. RMB 101, 880.90, p = 0.001). CONCLUSION The therapeutic effects and treatment-related complications of hysterectomy and CCRT are equivalent in patients with locally resectable stage IIIC1r cervical cancer, but surgery can provide accurate lymph node information and benefit patients with unnecessary radiation.
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Affiliation(s)
- Mei-Ling Zhong
- Department of Gynecological Oncology, Jiangxi Maternal and Child Health Care Hospital, 330008, Nanchang, Jiangxi, China
| | - Yin-Chuan Liu
- Department of Gynecological Oncology, Jiangxi Maternal and Child Health Care Hospital, 330008, Nanchang, Jiangxi, China
| | - Jian-Tong Yang
- Department of Gynecological Oncology, Jiangxi Maternal and Child Health Care Hospital, 330008, Nanchang, Jiangxi, China
| | - Ya-Nan Wang
- Department of Gynecological Oncology, Jiangxi Maternal and Child Health Care Hospital, 330008, Nanchang, Jiangxi, China
| | - Mei-Hong Ao
- Department of Gynecological Oncology, Jiangxi Maternal and Child Health Care Hospital, 330008, Nanchang, Jiangxi, China
| | - Yun Xiao
- Department of Radiation Oncology, Jiangxi Cancer Hospital of Nanchang Medical College, 330029, Nanchang, Jiangxi, China
| | - Si-Yuan Zeng
- Department of Gynecological Oncology, Jiangxi Maternal and Child Health Care Hospital, 330008, Nanchang, Jiangxi, China
| | - Mei-Rong Liang
- Department of Gynecological Oncology, Jiangxi Maternal and Child Health Care Hospital, 330008, Nanchang, Jiangxi, China.
- Graduate School, Medical College of Nanchang University, No. 318, Bayi Avenue, 330006, Nanchang, Jiangxi, China.
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14
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Sun Z, Wang ZF, Sun XY, Xu L, Zhang GN, Lu JY, Xiao Y. [Comparison of the anorectal function before and after neoadjuvant radiotherapy in mid-low rectal cancer: a retrospective observational study from single center]. Zhonghua Wei Chang Wai Ke Za Zhi 2024; 27:63-68. [PMID: 38262902 DOI: 10.3760/cma.j.cn441530-20230920-00097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
Objective: The aim of this study was to evaluate the impact of neoadjuvant radiotherapy on anorectal function of patients with mid-low rectal cancer by means of high-resolution anorectal manometry. Methods: A retrospective observational study was conducted. Information on patients with mid-low rectal cancer was collected from the prospective registry database of Rectal Cancer at Peking Union Medical College Hospital (PUMCH) from June 2020 to April 2023. Anorectal functions were detected using three-dimensional high-resolution manometry system. Logistic regression analysis was performed to identify the factors associated with the changed anorectal manometry. Results: A total of 45 patients with mid-low rectal cancer were included in the study. Thirty-two (71.1%) patients were male, 13 (28.9%) patients were female. The mean age was 60±11 years, and the mean BMI was 23.4±3.7 kg/m2. The mean distance between the lower edge of the tumor and the anal verge was 5.4±1.5 cm. The median size of the tumor was 3.4 (2.9-4.5) cm, and the median circumferential extent of the tumor was 66.0 (45.5-75.0) %. 41 (81.1%) patients were MRI T3-4 and 40 (88.9%) patients were MRI N positive. The resting pressure has a decreasing trend after neoadjuvant radiotherapy (55.3±32.0 mmHg vs. 48.0±28.5 mmHg, t=1.930, P=0.060). There was no significant change in maximum squeezing and the length of the high-pressure zone after neoadjuvant radiotherapy. All volumes describing rectal sensitivity (first sensation, desire to defecate, and maximum tolerance) were lower after neoadjuvant radiotherapy. And maximum tolerance was significantly lower (66.0 [49.0,88.0] ml vs. 52.0 [39.0,73.5] ml, Z=-2.481,P=0.013). Univariate analysis demonstrated that the downstage of N-stage was associated with the decrease in maximum tolerance (OR=6.533, 95%CI:1.254-34.051, P=0.026). Conclusion: Neoadjuvant radiotherapy damages anorectal function by decreasing the resting pressure and rectal sensory threshold of patients. The N-stage downstaging was associated with a decrease in maximum tolerance.
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Affiliation(s)
- Z Sun
- Division of Colorectal Surgery, Department of General Surgery, Peking Union Medical College Hospital, Beijing 100730, China
| | - Z F Wang
- Department of Gastroenterology, Peking Union Medical College Hospital, Beijing 100730, China
| | - X Y Sun
- Division of Colorectal Surgery, Department of General Surgery, Peking Union Medical College Hospital, Beijing 100730, China
| | - L Xu
- Division of Colorectal Surgery, Department of General Surgery, Peking Union Medical College Hospital, Beijing 100730, China
| | - G N Zhang
- Division of Colorectal Surgery, Department of General Surgery, Peking Union Medical College Hospital, Beijing 100730, China
| | - J Y Lu
- Division of Colorectal Surgery, Department of General Surgery, Peking Union Medical College Hospital, Beijing 100730, China
| | - Y Xiao
- Division of Colorectal Surgery, Department of General Surgery, Peking Union Medical College Hospital, Beijing 100730, China
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15
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Ali S, Ran J, Luan Y, Khorrami B, Xiao Y, Tangdamrongsub N. The GWR model-based regional downscaling of GRACE/GRACE-FO derived groundwater storage to investigate local-scale variations in the North China Plain. Sci Total Environ 2024; 908:168239. [PMID: 37931810 DOI: 10.1016/j.scitotenv.2023.168239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 09/30/2023] [Accepted: 10/29/2023] [Indexed: 11/08/2023]
Abstract
Groundwater storage and depletion fluctuations in response to groundwater availability for irrigation require understanding on a local scale to ensure a reliable groundwater supply. However, the coarser spatial resolution and intermittent data gaps to estimate the regional groundwater storage anomalies (GWSA) prevent the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GARCE-FO) mission from being applied at the local scale. To enhance the resolution of GWSA measurements using machine learning approaches, numerous recent efforts have been made. With a focus on the development of a new algorithm, this study enhanced the GWSA resolution estimates to 0.05° by extensively investigating the continuous spatiotemporal variations of GWSA based on the regional downscaling approach using a regression algorithm known as the geographically weighted regression model (GWR). First, the modified seasonal decomposition LOESS method (STL) was used to estimate the continuous terrestrial water storage anomaly (TWSA). Secondly, to separate GWSA from TWSA, a water balance equation was used. Third, the continuous GWSA was downscaled to 0.05° based on the GWR model. Finally, spatio-temporal properties of downscaled GWSA were investigated in the North China Plain (NCP), China's fastest-urbanizing area, from 2003 to 2022. The results of the downscaled GWSA were spatially compatible with GRACE-derived GWSA. The downscaled GWSA results are validated (R = 0.83) using in-situ groundwater level data. The total loss of GWSA in cities of the NCP fluctuated between 2003 and 2022, with the largest loss seen in Handan (-15.21 ± 7.25 mm/yr), Xingtai (-14.98 ± 7.25 mm/yr), and Shijiazhuang (-14.58 ± 7.25 mm/yr). The irrigated winter-wheat farming strategy is linked to greater groundwater depletion in several cities of NCP (e.g., Xingtai, Handan, Anyang, Hebi, Puyang, and Xinxiang). The study's high-resolution findings can help with understanding local groundwater depletion that takes agricultural water utilization and provide quantitative data for water management.
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Affiliation(s)
- Shoaib Ali
- Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518005, China.
| | - Jiangjun Ran
- Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518005, China.
| | - Yi Luan
- Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518005, China.
| | - Behnam Khorrami
- Department of GIS, The Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Izmir, Türkiye.
| | - Yun Xiao
- Xi'an Research Institute of Surveying and Mapping, Xi'an, China
| | - Natthachet Tangdamrongsub
- Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, Thailand.
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16
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Hui XX, Xiao Y. [Annual review of sleep-disordered breathing in 2023]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:59-63. [PMID: 38062697 DOI: 10.3760/cma.j.cn112147-20231031-00280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
Over the past year, significant progress has been made in the field of sleep-disordered breathing, focusing on critical aspects such as the heterogeneity, diagnostic and assessment method, and personalized treatment approaches related to obstructive sleep apnea (OSA). This article summaries of the latest research findings spanning from October 1, 2022, to September 30, 2023. It aims to provide valuable insights into the clinical management of OSA and to outline promising directions for future research.
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Affiliation(s)
- X X Hui
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Xiao
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College Chinese Academy of Medical Sciences, Beijing 100730, China
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17
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Hu GR, Yin W, Han JL, Xiao Y, Hu Y. [New insights into the role of macrophages in tumor immunotherapy]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:75-81. [PMID: 38062700 DOI: 10.3760/cma.j.cn112147-20230816-00081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
Macrophages are the main components of the innate immunity system, derived mainly from blood monocytes, and help the host to defend itself against many pathogens and cancers. Most established tumors can educate macrophages into tumor-associated macrophages (TAMs), which contribute to tumor growth, invasion and metastasis, as well as resistance to chemotherapeutic agents and immune checkpoint inhibitors. However, when appropriately activated, macrophages can also exert anti-tumor effects through enhanced phagocytosis and cytotoxicity against tumor cells. In addition, TAMs are associated with poor prognosis and drug resistance, including immunotherapies, suggesting that macrophages are attractive targets as part of combination therapy in cancer treatment. Herein, we review the recent findings on the role of macrophages in tumor development, metastasis and immunotherapy. We focus mainly on macrophage-centered therapy, including strategies to reduce and reshape TAMs, to represent potential targets for tumor immunotherapy.
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Affiliation(s)
- G R Hu
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014, China
| | - W Yin
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014, China
| | - J L Han
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014, China
| | - Y Xiao
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014, China
| | - Y Hu
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Wuhan 430014, China
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18
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Bai X, Bao Y, Bei S, Bu C, Cao R, Cao Y, Cen H, Chao J, Chen F, Chen H, Chen K, Chen M, Chen M, Chen M, Chen Q, Chen R, Chen S, Chen T, Chen X, Chen X, Cheng Y, Chu Y, Cui Q, Dong L, Du Z, Duan G, Fan S, Fan Z, Fang X, Fang Z, Feng Z, Fu S, Gao F, Gao G, Gao H, Gao W, Gao X, Gao X, Gao X, Gong J, Gong J, Gou Y, Gu S, Guo AY, Guo G, Guo X, Han C, Hao D, Hao L, He Q, He S, He S, Hu W, Huang K, Huang T, Huang X, Huang Y, Jia P, Jia Y, Jiang C, Jiang M, Jiang S, Jiang T, Jiang X, Jin E, Jin W, Kang H, Kang H, Kong D, Lan L, Lei W, Li CY, Li C, Li C, Li H, Li J, Li J, Li L, Li P, Li R, Li X, Li Y, Li Y, Li Z, Liao X, Lin S, Lin Y, Ling Y, Liu B, Liu CJ, Liu D, Liu GH, Liu L, Liu S, Liu W, Liu X, Liu X, Liu Y, Liu Y, Lu M, Lu T, Luo H, Luo H, Luo M, Luo S, Luo X, Ma L, Ma Y, Mai J, Meng J, Meng X, Meng Y, Meng Y, Miao W, Miao YR, Ni L, Nie Z, Niu G, Niu X, Niu Y, Pan R, Pan S, Peng D, Peng J, Qi J, Qi Y, Qian Q, Qin Y, Qu H, Ren J, Ren J, Sang Z, Shang K, Shen WK, Shen Y, Shi Y, Song S, Song T, Su T, Sun J, Sun Y, Sun Y, Sun Y, Tang B, Tang D, Tang Q, Tang Z, Tian D, Tian F, Tian W, Tian Z, Wang A, Wang G, Wang G, Wang J, Wang J, Wang P, Wang P, Wang W, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wei H, Wei Y, Wei Z, Wu D, Wu G, Wu S, Wu S, Wu W, Wu W, Wu Z, Xia Z, Xiao J, Xiao L, Xiao Y, Xie G, Xie GY, Xie J, Xie Y, Xiong J, Xiong Z, Xu D, Xu S, Xu T, Xu T, Xue Y, Xue Y, Yan C, Yang D, Yang F, Yang F, Yang H, Yang J, Yang K, Yang N, Yang QY, Yang S, Yang X, Yang X, Yang X, Yang YG, Ye W, Yu C, Yu F, Yu S, Yuan C, Yuan H, Zeng J, Zhai S, Zhang C, Zhang F, Zhang G, Zhang M, Zhang P, Zhang Q, Zhang R, Zhang S, Zhang W, Zhang W, Zhang W, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang YE, Zhang Y, Zhang Z, Zhang Z, Zhao D, Zhao F, Zhao G, Zhao M, Zhao W, Zhao W, Zhao X, Zhao Y, Zhao Y, Zhao Z, Zheng X, Zheng Y, Zhou C, Zhou H, Zhou X, Zhou X, Zhou Y, Zhou Y, Zhu J, Zhu L, Zhu R, Zhu T, Zong W, Zou D, Zuo Z. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024. Nucleic Acids Res 2024; 52:D18-D32. [PMID: 38018256 PMCID: PMC10767964 DOI: 10.1093/nar/gkad1078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/12/2023] [Accepted: 10/27/2023] [Indexed: 11/30/2023] Open
Abstract
The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support the global academic and industrial communities. With the rapid accumulation of multi-omics data at an unprecedented pace, CNCB-NGDC continuously expands and updates core database resources through big data archiving, integrative analysis and value-added curation. Importantly, NGDC collaborates closely with major international databases and initiatives to ensure seamless data exchange and interoperability. Over the past year, significant efforts have been dedicated to integrating diverse omics data, synthesizing expanding knowledge, developing new resources, and upgrading major existing resources. Particularly, several database resources are newly developed for the biodiversity of protists (P10K), bacteria (NTM-DB, MPA) as well as plant (PPGR, SoyOmics, PlantPan) and disease/trait association (CROST, HervD Atlas, HALL, MACdb, BioKA, BioKA, RePoS, PGG.SV, NAFLDkb). All the resources and services are publicly accessible at https://ngdc.cncb.ac.cn.
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19
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Li L, Chen P, Su R, Xu H, Li Q, Zhong Q, Yan H, Yang X, Hu J, Li S, Huang T, Xiao Y, Liu B, Ji Y, Wang D, Sun H, Guo X, Lu ZH, Snaith HJ, Gong Q, Zhao L, Zhu R. Buried-Metal-Grid Electrodes for Efficient Parallel-Connected Perovskite Solar Cells. Adv Mater 2024; 36:e2305238. [PMID: 37665975 DOI: 10.1002/adma.202305238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/24/2023] [Indexed: 09/06/2023]
Abstract
The limited conductivity of existing transparent conducting oxide (TCO) greatly restricts the further performance improvement of perovskite solar cells (PSCs), especially for large-area devices. Herein, buried-metal-grid tin-doped indium oxide (BMG ITO) electrodes are developed to minimize the power loss caused by the undesirable high sheet resistance of TCOs. By burying 140-nm-thick metal grids into ITO using a photolithography technique, the sheet resistance of ITO is reduced from 15.0 to 2.7 Ω sq-1 . The metal step of BMG over ITO has a huge impact on the charge carrier transport in PSCs. The PSCs using BMG ITO with a low metal step deliver power conversion efficiencies (PCEs) significantly better than that of their counterparts with higher metal steps. Moreover, compared with the pristine ITO-based PSCs, the BMG ITO-based PSCs show a smaller PCE decrease when scaling up the active area of devices. The parallel-connected large-area PSCs with an active area of 102.8 mm2 reach a PCE of 22.5%. The BMG ITO electrodes are also compatible with the fabrication of inverted-structure PSCs and organic solar cells. The work demonstrates the great efficacy of improving the conductivity of TCO by BMG and opens up a promising avenue for constructing highly efficient large-area PSCs.
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Affiliation(s)
- Lei Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Peng Chen
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Rui Su
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Hongyu Xu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Qiuyang Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Qixuan Zhong
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Haoming Yan
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Xiaoyu Yang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Juntao Hu
- Department of Physics, Center for Optoelectronics Engineering Research, Yunnan University, Kunming, 650091, China
| | - Shunde Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Tianyu Huang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Yun Xiao
- Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, OX1 3PU, UK
| | - Bin Liu
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech) Shenzhen, Guangdong, 518055, China
| | - Yongqiang Ji
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Dengke Wang
- Department of Physics, Center for Optoelectronics Engineering Research, Yunnan University, Kunming, 650091, China
| | - Huiliang Sun
- Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, China
| | - Xugang Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech) Shenzhen, Guangdong, 518055, China
| | - Zheng-Hong Lu
- Department of Physics, Center for Optoelectronics Engineering Research, Yunnan University, Kunming, 650091, China
- Department of Materials Science and Engineering, University of Toronto, Toronto, Ontario, M5G 3E4, Canada
| | - Henry J Snaith
- Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, OX1 3PU, UK
| | - Qihuang Gong
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
- Peking University Yangtze Delta Institute of Optoelectronics, Nantong, Jiangsu, 226010, China
- Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi, 030006, China
| | - Lichen Zhao
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
| | - Rui Zhu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, 100871, China
- Peking University Yangtze Delta Institute of Optoelectronics, Nantong, Jiangsu, 226010, China
- Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi, 030006, China
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20
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Chen P, Xiao Y, Hu J, Li S, Luo D, Su R, Caprioglio P, Kaienburg P, Jia X, Chen N, Wu J, Sui Y, Tang P, Yan H, Huang T, Yu M, Li Q, Zhao L, Hou CH, You YW, Shyue JJ, Wang D, Li X, Zhao Q, Gong Q, Lu ZH, Snaith HJ, Zhu R. Multifunctional ytterbium oxide buffer for perovskite solar cells. Nature 2024; 625:516-522. [PMID: 38233617 DOI: 10.1038/s41586-023-06892-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 11/22/2023] [Indexed: 01/19/2024]
Abstract
Perovskite solar cells (PSCs) comprise a solid perovskite absorber sandwiched between several layers of different charge-selective materials, ensuring unidirectional current flow and high voltage output of the devices1,2. A 'buffer material' between the electron-selective layer and the metal electrode in p-type/intrinsic/n-type (p-i-n) PSCs (also known as inverted PSCs) enables electrons to flow from the electron-selective layer to the electrode3-5. Furthermore, it acts as a barrier inhibiting the inter-diffusion of harmful species into or degradation products out of the perovskite absorber6-8. Thus far, evaporable organic molecules9,10 and atomic-layer-deposited metal oxides11,12 have been successful, but each has specific imperfections. Here we report a chemically stable and multifunctional buffer material, ytterbium oxide (YbOx), for p-i-n PSCs by scalable thermal evaporation deposition. We used this YbOx buffer in the p-i-n PSCs with a narrow-bandgap perovskite absorber, yielding a certified power conversion efficiency of more than 25%. We also demonstrate the broad applicability of YbOx in enabling highly efficient PSCs from various types of perovskite absorber layer, delivering state-of-the-art efficiencies of 20.1% for the wide-bandgap perovskite absorber and 22.1% for the mid-bandgap perovskite absorber, respectively. Moreover, when subjected to ISOS-L-3 accelerated ageing, encapsulated devices with YbOx exhibit markedly enhanced device stability.
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Affiliation(s)
- Peng Chen
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Yun Xiao
- Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, UK
| | - Juntao Hu
- Department of Physics, Center for Optoelectronics Engineering Research, Yunnan University, Kunming, China
- Department of Physics, Mathematics and Computer Science, Faculty of Basic Medical Science, Kunming Medical University, Kunming, China
| | - Shunde Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Deying Luo
- Department of Materials Science and Engineering, University of Toronto, Toronto, Ontario, Canada.
| | - Rui Su
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Pietro Caprioglio
- Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, UK
| | - Pascal Kaienburg
- Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, UK
| | - Xiaohan Jia
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Nan Chen
- Department of Physics, Center for Optoelectronics Engineering Research, Yunnan University, Kunming, China
| | - Jingjing Wu
- State Key Laboratory of Information Functional Materials, 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China
| | - Yanping Sui
- State Key Laboratory of Information Functional Materials, 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China
| | - Pengyi Tang
- State Key Laboratory of Information Functional Materials, 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China
| | - Haoming Yan
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Tianyu Huang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Maotao Yu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Qiuyang Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Lichen Zhao
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Cheng-Hung Hou
- Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan
| | - Yun-Wen You
- Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan
| | - Jing-Jong Shyue
- Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan
| | - Dengke Wang
- Department of Physics, Center for Optoelectronics Engineering Research, Yunnan University, Kunming, China
| | - Xiaojun Li
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China
| | - Qing Zhao
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Qihuang Gong
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China.
- Peking University Yangtze Delta Institute of Optoelectronics, Nantong, China.
- Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, China.
| | - Zheng-Hong Lu
- Department of Physics, Center for Optoelectronics Engineering Research, Yunnan University, Kunming, China.
- Department of Materials Science and Engineering, University of Toronto, Toronto, Ontario, Canada.
| | - Henry J Snaith
- Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, UK.
| | - Rui Zhu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China.
- Peking University Yangtze Delta Institute of Optoelectronics, Nantong, China.
- Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, China.
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Wei M, Huang M, Duan Y, Wang D, Xing X, Quan R, Zhang G, Liu K, Zhu B, Ye Y, Zhou D, Zhao J, Ma G, Jiang Z, Huang B, Xu S, Xiao Y, Zhang L, Wang H, Lin R, Ma S, Qiu Y, Wang C, Zheng Z, Sun N, Xian L, Li J, Zhang M, Guo Z, Tao Y, Zhang L, Zhou X, Chen W, Wang D, Chi J. Prognostic and risk factor analysis of cancer patients after unplanned ICU admission: a real-world multicenter study. Sci Rep 2023; 13:22340. [PMID: 38102299 PMCID: PMC10724261 DOI: 10.1038/s41598-023-49219-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023] Open
Abstract
To investigate the occurrence and 90-day mortality of cancer patients following unplanned admission to the intensive care unit (ICU), as well as to develop a risk prediction model for their 90-day prognosis. We prospectively analyzed data from cancer patients who were admitted to the ICU without prior planning within the past 7 days, specifically between May 12, 2021, and July 12, 2021. The patients were grouped based on their 90-day survival status, and the aim was to identify the risk factors influencing their survival status. A total of 1488 cases were included in the study, with an average age of 63.2 ± 12.4 years. The most common reason for ICU admission was sepsis (n = 940, 63.2%). During their ICU stay, 29.7% of patients required vasoactive drug support (n = 442), 39.8% needed invasive mechanical ventilation support (n = 592), and 82 patients (5.5%) received renal replacement therapy. We conducted a multivariate COX proportional hazards model analysis, which revealed that BMI and a history of hypertension were protective factors. On the other hand, antitumor treatment within the 3 months prior to admission, transfer from the emergency department, general ward, or external hospital, high APACHE score, diagnosis of shock and respiratory failure, receiving invasive ventilation, and experiencing acute kidney injury (AKI) were identified as risk factors for poor prognosis within 90 days after ICU admission. The average length of stay in the ICU was 4 days, while the hospital stay duration was 18 days. A total of 415 patients died within 90 days after ICU admission, resulting in a mortality rate of 27.9%. We selected 8 indicators to construct the predictive model, which demonstrated good discrimination and calibration. The prognosis of cancer patients who are unplanned transferred to the ICU is generally poor. Assessing the risk factors and developing a risk prediction model for these patients can play a significant role in evaluating their prognosis.
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Affiliation(s)
- Miao Wei
- Department of Intensive Care Unit, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Mingguang Huang
- Department of Intensive Care Unit, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
| | - Yan Duan
- Department of Intensive Care Unit, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Donghao Wang
- Department of Intensive Care Unit, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xuezhong Xing
- Department of Intensive Care Unit, Cancer Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Rongxi Quan
- Department of Intensive Care Unit, Cancer Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China
| | - Guoxing Zhang
- Department of Intensive Care Unit, Gaoxin District of Jilin Cancer Hospital, Changchun, Jilin, China
| | - Kaizhong Liu
- Department of Intensive Care Unit, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Biao Zhu
- Department of Intensive Care Unit, Fudan University Affiliated Shanghai Cancer Hospital, Shanghai, China
| | - Yong Ye
- Department of Intensive Care Unit, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China
| | - Dongmin Zhou
- Department of Intensive Care Unit, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Jianghong Zhao
- Department of Intensive Care Unit, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Gang Ma
- Department of Intensive Care Unit, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Zhengying Jiang
- Department of Intensive Care Unit, Chongqing University Cancer Hospital, Chongqing, Sichuan, China
| | - Bing Huang
- Department of Intensive Care Unit, Guangxi Medical University Affiliated Tumor Hospital, Nanning, Guangxi, China
| | - Shanling Xu
- Department of Intensive Care Unit, Sichuan Cancer Hospital and Institute, Chengdu, Sichuan, China
| | - Yun Xiao
- Department of Intensive Care Unit, Yunnan Cancer Hospital, Kunming, Yunnan, China
| | - Linlin Zhang
- Department of Intensive Care Unit, Anhui Province Cancer Hospital, Hefei, Anhui, China
| | - Hongzhi Wang
- Department of Intensive Care Unit, Beijing Cancer Hospital, Beijing, China
| | - Ruiyun Lin
- Department of Intensive Care Unit, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Shuliang Ma
- Department of Intensive Care Unit, Jiangsu Cancer Hospital, Nanjing, Jiangsu, China
| | - Yu'an Qiu
- Department of Intensive Care Unit, Jiangxi Provincial Tumor Hospital, Nanchang, Jiangxi, China
| | - Changsong Wang
- Department of Intensive Care Unit, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Zhen Zheng
- Department of Intensive Care Unit, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China
| | - Ni Sun
- Department of Intensive Care Unit, Huguang District of Jilin Cancer Hospital, Changchun, Jilin, China
| | - Lewu Xian
- Department of Intensive Care Unit, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Ji Li
- Department of Intensive Care Unit, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Ming Zhang
- Department of Intensive Care Unit, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, China
| | - Zhijun Guo
- Department of Intensive Care Unit, Shandong First Medical University Affiliated Tumor Hospital, Jinan, Shandong, China
| | - Yong Tao
- Department of Intensive Care Unit, Nantong Tumor Hospital, Nantong, Jiangsu, China
| | - Li Zhang
- Department of Intensive Care Unit, Hubei Cancer Hospital, Wuhan, Hubei, China
| | - Xiangzhe Zhou
- Department of Intensive Care Unit, Gansu Provincial Cancer Hospital, Lanzhou, Gansu, China
| | - Wei Chen
- Department of Intensive Care Unit, Beijing Shijitan Hospital (Capital Medical University Cancer Hospital), Beijing, China
| | - Daoxie Wang
- Department of Intensive Care Unit, Cancer Hospital of Zhengzhou, Zhengzhou, Henan, China
| | - Jiyan Chi
- Department of Intensive Care Unit, Tumor Hospital of Mudanjiang City, Mudanjiang, Heilongjiang, China
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Dai L, Xiao Y. [Obstructive sleep apnea and central/peripheral chemosensitivity: an essential part of pathophysiological mechanisms]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:1151-1153. [PMID: 38044043 DOI: 10.3760/cma.j.cn112147-20230809-00063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Unstable ventilatory control is one of the key pathophysiological mechanisms of obstructive sleep apnea (OSA), and the activity of chemoreceptors is an important part of ventilatory control. Chemosensitivity has a significant impact on the severity and prognosis of OSA, and the incidence of comorbidities. The focus on reducing chemosensitivity can be seen as an emerging theme to promote individualized and precise treatment of OSA. Further exploration of chemosensitivity in OSA will be an emerging direction and a major challenge for current and future research in the field of sleep.
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Affiliation(s)
- L Dai
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Xiao
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College Chinese Academy of Medical Sciences, Beijing 100730, China
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Xiao Y, Tuo W, Wang X, Feng B, Xu X, Ahmad S, Zhai J, Peng D, Wu S. Establishment of a Rapid and Effective Agrobacterium-Mediated Genetic Transformation System of Oxalis triangularis 'Purpurea'. Plants (Basel) 2023; 12:4130. [PMID: 38140457 PMCID: PMC10747433 DOI: 10.3390/plants12244130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/04/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023]
Abstract
Oxalis triangularis 'Purpurea' has significant ornamental value in landscaping. There is a critical necessity to elucidate the gene functions of O. triangularis 'Purpurea' and dissect the molecular mechanisms governing key ornamental traits. However, a reliable genetic transformation method remains elusive. In this study, our investigation revealed that various transformation parameters, including recipient material (petioles), pre-culture time (2-5 days), acetosyringone (AS) concentration (100-400 μM), Agrobacterium concentrations (OD600 = 0.4-1.0), infection time (5-20 min), and co-culture time (2-5 days), significantly impacted the stable genetic transformation in O. triangular 'Purpurea'. Notably, the highest genetic transformation rate was achieved from the leaf discs pre-cultured for 3 days, treated with 200 μM AS infected with Agrobacterium for 11 min at OD600 of 0.6, and subsequently co-cultured for 3 days. This treatment resulted in a genetic transformation efficiency of 9.88%, and it only took 79 days to produce transgenic plants. Our transformation protocol offers advantages of speed, efficiency, and simplicity, which will greatly facilitate genetic transformation for O. triangular 'Purpurea' and gene function studies.
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Affiliation(s)
- Yun Xiao
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (W.T.); (X.W.); (X.X.); (S.A.); (J.Z.); (D.P.)
| | - Wanli Tuo
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (W.T.); (X.W.); (X.X.); (S.A.); (J.Z.); (D.P.)
| | - Xuexuan Wang
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (W.T.); (X.W.); (X.X.); (S.A.); (J.Z.); (D.P.)
| | - Baomin Feng
- Plant Immunity Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
| | - Xinyu Xu
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (W.T.); (X.W.); (X.X.); (S.A.); (J.Z.); (D.P.)
| | - Sagheer Ahmad
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (W.T.); (X.W.); (X.X.); (S.A.); (J.Z.); (D.P.)
| | - Junwen Zhai
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (W.T.); (X.W.); (X.X.); (S.A.); (J.Z.); (D.P.)
| | - Donghui Peng
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (W.T.); (X.W.); (X.X.); (S.A.); (J.Z.); (D.P.)
| | - Shasha Wu
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (W.T.); (X.W.); (X.X.); (S.A.); (J.Z.); (D.P.)
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Huang Z, Peng Y, Ke G, Xiao Y, Chen Y. CaMKII may regulate renal tubular epithelial cell apoptosis through YAP/NFAT2 in acute kidney injury mice. Ren Fail 2023; 45:2172961. [PMID: 36718671 PMCID: PMC9891164 DOI: 10.1080/0886022x.2023.2172961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
AIM Renal tubular epithelial cell (RTEC) apoptosis is important in acute kidney injury (AKI). Calcium/calmodulin-dependent protein kinase II (CaMKII) plays an important role in cell apoptosis, but its potential role in AKI remains unknown. METHODS Using co-immunoprecipitation, immunofluorescence, immunohistochemistry, western blotting, flow cytometry, and cell transfection, this study aimed to verify whether CaMKII is involved in RTEC apoptosis and to explore the underlying mechanism. RESULTS We found that CaMKII was involved in RTEC apoptosis. In adriamycin-induced AKI mice, serum creatinine levels, cell apoptosis, CaMKII activity, and nuclear factor of activated T cells 2 (NFAT2) levels increased, whereas nuclear Yes-associated protein (YAP) expression decreased; inhibition of CaMKII activity reversed these changes. Phosphorylated CaMKII could bind to phosphorylated YAP in the cytoplasm and block it from entering the nucleus, thereby failing to inhibit NFAT2-mediated cell apoptosis. Sequestrated phosphorylated YAP in the RTEC cytoplasm was finally degraded by ubiquitination. CONCLUSION CaMKII may regulate RTEC apoptosis through YAP/NFAT2 in AKI mice. CaMKII may be a potent molecular target for AKI treatment.
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Affiliation(s)
- Zongshun Huang
- Department of Nephrology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China,CONTACT Zongshun Huang Department of Nephrology, First Affiliated Hospital of Guangzhou Medical University, No. 151, Yanjiangxi Road, Guangzhou, 510120, China
| | - Yonghua Peng
- Department of Nephrology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guibao Ke
- Department of Nephrology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yun Xiao
- Department of Nephrology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yaqi Chen
- Department of Nephrology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Xiao Y, Wang RJ, Zeng HK, Xie J, Situ YL, Kong S, Wang TT, Verkhratsky A, Nie H. Analysis of the mechanism of Sophorae Flavescentis Radix in the treatment of intractable itching based on network pharmacology and molecular docking. Eur Rev Med Pharmacol Sci 2023; 27:11691-11700. [PMID: 38164832 DOI: 10.26355/eurrev_202312_34766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Sophorae Flavescentis Radix (Kuh-seng, SFR), a Traditional Chinese Medicine (TCM), is widely used alone or within a TCM formula to treat pruritus, especially histamine-independent intractable itching. In the previous study, potential antipruritic active components of the SFR were screened based on cell membrane immobilized chromatography (CMIC), revealing oxymatrine (OMT) as an antipruritic agent. However, the low oral bioavailability (OB) of OMT cannot explain the antipruritic effect of SFR when administered orally in clinic. In this study, we investigated the antipruritic effects and underlying mechanisms of orally administered SFR. MATERIALS AND METHODS A network pharmacology and molecular docking were employed to screen the active components of SFR and predict their binding to disease-related target proteins, while the potential mechanisms were explored with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The binding energy between components and target proteins was calculated by molecular docking. RESULTS The SFR-components-targets-intractable itching Protein-Protein Interactions (PPI) network was established, and 22 active components and 42 targets were screened. The GO enrichment analysis showed that the key target genes of SFR were related to nuclear receptors, transcription factors, and steroid hormone receptors. The results of the KEGG enrichment pathway analysis include Hepatitis B, epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor resistance, advanced glycation end product (AGE)-receptor for AGE (RAGE) signaling pathway in diabetic complications, etc. Molecular docking showed that three key target proteins in the network, the vascular endothelial growth factor A (VEGFA), epidermal growth factor receptor (EGFR) and caspase-3 (CASP3), have higher binding activities with inermine, phaseolin and kushenol O, respectively; the binding energy of each pair is stronger than that of the target protein-corresponding inhibitors. CONCLUSIONS The complexity of the SFR-components-targets-intractable itching network demonstrated the holistic treatment effect of SFR on intractable itching. The partial coherence between results screened by CMIC in the previous study and network pharmacology demonstrated the potential of network pharmacology in active component screening. Inermine screened from both CMIC and network pharmacology is a VEGFA inhibitor, which possibly accounts for the antipruritic effect of orally administered SFR.
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Affiliation(s)
- Y Xiao
- State Key Laboratory of Bioactive Molecules and Druggability Assessment, Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Chinese Ministry of Education (MOE), College of Pharmacy, Jinan University, Guangzhou, China.
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Zhou Z, Tong C, Tian L, Zhang X, Li Y, Xiao Y, Yan L. Retraction Note: Retrospective study of preservation and transection of the round ligament of uterus during laparoscopic transabdominal preperitoneal inguinal hernia repair in adult women. Hernia 2023; 27:1627. [PMID: 37792104 DOI: 10.1007/s10029-023-02906-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Affiliation(s)
- Z Zhou
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
- Yan'an University, Yan'an, China
| | - C Tong
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - L Tian
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - X Zhang
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - Y Li
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - Y Xiao
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - L Yan
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China.
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Chen LZ, Li HS, Han GW, Su Y, Lu TZ, Xie HH, Gong XC, Li JG, Xiao Y. A Novel Prognostic Model Predicts Outcomes in Non-Metastatic Nasopharyngeal Carcinoma Based on Inflammation, Nutrition, and Coagulation Signature. J Inflamm Res 2023; 16:5515-5529. [PMID: 38026257 PMCID: PMC10676689 DOI: 10.2147/jir.s423928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 11/07/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose This study aimed to assess the prognostic and predictive value of a circulating hematological signature (CHS) and to develop a CHS-based nomogram for predicting prognosis and guiding individualized chemotherapy in non-metastatic nasopharyngeal carcinoma (NPC) patients. Patients and Methods NPC patients were recruited between January 2014 and December 2017 at the Jiangxi Cancer Hospital. The CHS was constructed based on a series of hematological indicators. The nomogram was developed by CHS and clinical factors. Results A total of 779 patients were included. Three biomarkers were selected by least absolute shrinkage and selection operator regression, including prognostic nutritional index, albumin-to-fibrinogen ratio, and prealbumin-to-fibrinogen ratio, were used to construct the CHS. The patients in the low-CHS group had better 5-year DMFS and OS than those in the high-CHS group in the training (DMFS: 85.0% vs 56.6%, p<0.001; OS: 90.3% vs 65.4%, p<0.001) and validation cohorts (DMFS: 92.3% vs 43.6%, p<0.001; OS: 92.1% vs 65.5%, p<0.001). The nomogram_CHS showed better performance than clinical stage in predicting distant metastasis (concordance index: 0.728 vs 0.646). In the low-TRS (total risk scores) group, the patients received RT alone, CCRT and IC plus CCRT had similar 5-year DMFS and OS (p>0.05). In the middle-TRS group, the patients received RT alone had worse 5-year DMFS (58.7% vs 80.8% vs 90.8%, p=0.002) and OS (75.0% vs 94.1% vs 95.0%, p=0.001) than those received CCRT or IC plus CCRT. In the high-TRS group, the patients received RT alone and CCRT had worse 5-year DMFS (18.6% vs 31.3% vs 81.5%, p<0.001) and OS (26.9% vs 53.2% vs 88.8%, p<0.001) than those received IC plus CCRT. Conclusion The developed nomogram_CHS had satisfactory prognostic accuracy in NPC patients and may individualize risk estimation to facilitate the identification of suitable IC candidates.
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Affiliation(s)
- Li-Zhi Chen
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China, Nanchang, Jiangxi, 330029, People’s Republic of China
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330029, People’s Republic of China
| | - Han-Shu Li
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China, Nanchang, Jiangxi, 330029, People’s Republic of China
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330029, People’s Republic of China
| | - Gao-Wei Han
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China, Nanchang, Jiangxi, 330029, People’s Republic of China
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330029, People’s Republic of China
| | - Yong Su
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China, Nanchang, Jiangxi, 330029, People’s Republic of China
- Department of Radiation Oncology, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China
| | - Tian-Zhu Lu
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China, Nanchang, Jiangxi, 330029, People’s Republic of China
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330029, People’s Republic of China
- Department of Radiation Oncology, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China
| | - Hong-Hui Xie
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China, Nanchang, Jiangxi, 330029, People’s Republic of China
- Department of Radiation Oncology, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China
| | - Xiao-Chang Gong
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China, Nanchang, Jiangxi, 330029, People’s Republic of China
- Department of Radiation Oncology, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China
| | - Jin-Gao Li
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China, Nanchang, Jiangxi, 330029, People’s Republic of China
- Department of Radiation Oncology, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China
| | - Yun Xiao
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China, Nanchang, Jiangxi, 330029, People’s Republic of China
- Department of Radiation Oncology, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, 330029, People’s Republic of China
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Li L, Zhang H, Zhang J, Xiao Y, Li Y, Qu J. TEMPORARY REMOVAL: The first investigation of a nosocomial outbreak caused by ST80 vancomycin-resistant Enterococci faecium in China. J Hosp Infect 2023:S0195-6701(23)00356-0. [PMID: 37951417 DOI: 10.1016/j.jhin.2023.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/14/2023]
Abstract
The publisher regrets that this article has been temporarily removed. A replacement will appear as soon as possible in which the reason for the removal of the article will be specified, or the article will be reinstated. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/article-withdrawal.
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Affiliation(s)
- L Li
- Department of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Centre for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - H Zhang
- Department of Clinical Laboratory, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong 518033, China
| | - J Zhang
- Department of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Centre for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Y Xiao
- Department of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Centre for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Y Li
- Department of Clinical Laboratory, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong 518033, China.
| | - J Qu
- Department of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Centre for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China.
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Quan F, Liang X, Cheng M, Yang H, Liu K, He S, Sun S, Deng M, He Y, Liu W, Wang S, Zhao S, Deng L, Hou X, Zhang X, Xiao Y. Annotation of cell types (ACT): a convenient web server for cell type annotation. Genome Med 2023; 15:91. [PMID: 37924118 PMCID: PMC10623726 DOI: 10.1186/s13073-023-01249-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 10/18/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND The advancement of single-cell sequencing has progressed our ability to solve biological questions. Cell type annotation is of vital importance to this process, allowing for the analysis and interpretation of enormous single-cell datasets. At present, however, manual cell annotation which is the predominant approach remains limited by both speed and the requirement of expert knowledge. METHODS To address these challenges, we constructed a hierarchically organized marker map through manually curating over 26,000 cell marker entries from about 7000 publications. We then developed WISE, a weighted and integrated gene set enrichment method, to integrate the prevalence of canonical markers and ordered differentially expressed genes of specific cell types in the marker map. Benchmarking analysis suggested that our method outperformed state-of-the-art methods. RESULTS By integrating the marker map and WISE, we developed a user-friendly and convenient web server, ACT ( http://xteam.xbio.top/ACT/ or http://biocc.hrbmu.edu.cn/ACT/ ), which only takes a simple list of upregulated genes as input and provides interactive hierarchy maps, together with well-designed charts and statistical information, to accelerate the assignment of cell identities and made the results comparable to expert manual annotation. Besides, a pan-tissue marker map was constructed to assist in cell assignments in less-studied tissues. Applying ACT to three case studies showed that all cell clusters were quickly and accurately annotated, and multi-level and more refined cell types were identified. CONCLUSIONS We developed a knowledge-based resource and a corresponding method, together with an intuitive graphical web interface, for cell type annotation. We believe that ACT, emerging as a powerful tool for cell type annotation, would be widely used in single-cell research and considerably accelerate the process of cell type identification.
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Affiliation(s)
- Fei Quan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Xin Liang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Mingjiang Cheng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Huan Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Kun Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Shengyuan He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Shangqin Sun
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Menglan Deng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Yanzhen He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Wei Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Shuai Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Shuxiang Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Lantian Deng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Xiaobo Hou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Xinxin Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.
| | - Yun Xiao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.
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Ding Q, Liu Y, Ju H, Song H, Xiao Y, Liu X, Ren G, Wei D. Reactive cutaneous capillary endothelial proliferation predicted the efficacy of camrelizumab in patients with recurrent/metastatic head and neck squamous cell carcinoma. Med Oral Patol Oral Cir Bucal 2023; 28:e525-e529. [PMID: 37330963 PMCID: PMC10635619 DOI: 10.4317/medoral.25919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 05/08/2023] [Indexed: 06/20/2023] Open
Abstract
BACKGROUND Reactive cutaneous capillary endothelial proliferation (RCCEP), a special adverse event (AE) only observed in patients treated with camrelizumab, was reported to be correlated with the efficacy of camrelizumab in patients with advanced hepatocellular carcinoma. This study to analyze the possible correlation between the occurrence of RCCEP and efficacy of camrelizumab in patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). MATERIAL AND METHODS In this study, we retrospectively analyzed the efficacy and RCCEP occurrence of camrelizumab in 58 patients with R/M HNSCC in the Shanghai Ninth People's Hospital affiliated to Shanghai JiaoTong University School of Medicine between January 2019 and June 2022. Kaplan-Meier analysis was used to assess the correlation between the occurrence of RCCEP and the survival of enrolled patients, and COX multifactor analysis was adopted to evaluate associated factors that affected the efficacy of camrelizumab immunotherapy. RESULTS A significant correlation between the incidence of RCCEP and a higher objective response rate was observed in this study (p=0.008). The occurrence of RCCEP was associated with better median overall survival (17.0 months vs. 8.7 months, p<0.0001, HR=5.944, 95% CI:2.097-16.84) and better median progression-free survival (15.1 months vs. 4.0 months, p<0.0001, HR=4.329,95% CI:1.683-11.13). In COX multifactor analysis, RCCEP occurrence was also an independent prognostic factor affecting OS and PFS in patients with R/M HNSCC. CONCLUSIONS The occurrence of RCCEP can show a better prognosis, it could be used as a clinical biomarker to predict the efficacy of camrelizumab treatment.
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Affiliation(s)
- Q Ding
- Department of Oral and Maxillofacial Surgery Ninth People's Hospital Shanghai Jiao Tong University School of Medicine Zip code: 200011, 639 Zhi-zao-ju Road, Shanghai, China
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Wang YX, Xiao Y. [Reflections on the relationship between ventilatory drive and obstructive sleep apnea]. Zhonghua Nei Ke Za Zhi 2023; 62:1253-1255. [PMID: 37935490 DOI: 10.3760/cma.j.cn112138-20230720-00016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Affiliation(s)
- Y X Wang
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Xiao
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
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Duan L, Lee SH, Yegya-Raman N, Wang D, Li B, Friedes C, Iocolano M, Kao GD, Fan Y, Caruana R, Feigenberg SJ, Xiao Y. Interpretable Machine Learning for Predicting Symptomatic Pneumonitis in Locally Advanced Non-Small Cell Lung Cancer Patients Treated with Concurrent Chemoradiotherapy and Immune Checkpoint Inhibitor Consolidation. Int J Radiat Oncol Biol Phys 2023; 117:e464. [PMID: 37785482 DOI: 10.1016/j.ijrobp.2023.06.1664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The rate of grade 2 and higher pneumonitis has increased with the use of immune checkpoint inhibitors (ICI) following chemoradiotherapy (CRT) for lung cancer, which may alter previously established dose-volume constraints (DVC). In this study, we used an interpretable machine learning model with clinical and dosimetric features to predict grade 2+ pneumonitis and determine DVC associated with pneumonitis for locally advanced non-small cell lung cancer (LA-NSCLC) radiotherapy (RT). MATERIALS/METHODS Between October 2017 and December 2021, 223 consecutively treated patients with LANSCLC treated with CRT and ICI were retrospectively reviewed. The dataset was split into training and test sets (n = 144/79). Clinical features included age, sex, smoking status, pack-years, BMI, ECOG PS, COPD, tumor location, delivered dose, RT technique, chemotherapy agent and volume of GTVp/GTVn. A total of 228 dosimetric features from the heart, contralateral/ipsilateral lung and lungs-IGTV were extracted, including the minimum/mean dose to the hottest x% volume (Dx%[Gy]/MOHx%[Gy]; x was 5-95 in 5% increments) and minimum/mean/maximum dose and percent volume receiving at least xGy (VxGy [%]; x was 5-60 in 5Gy increments), as well as the overlapping volume of each structure with PTV and the distance from each structure to GTVp/GTVn. Feature selection was performed using Boruta, followed by collinearity removal based on the variance inflation factor. The explainable boosting machine (EBM) was trained on the selected features. The performance of EBM on the test set was evaluated using the area under the receiver operating characteristic curve (AUC) and compared with that of blackbox (BB) models, including extreme gradient boosting (XGB), random forest (RF), and supporting vector machine (SVM). The global explanation of each feature's contribution to the predictions provided by the EBM was used to determine DVC. Shapley additive explanations (SHAP) were used to explain BB predictions. RESULTS Selected features, ranked in order of EBM's overall feature importance, were V25Gy [%] and MOH65%[Gy] in the ipsilateral lung, the maximum dose in the heart, MOH30%[Gy] in the contralateral lung, and BMI. No dosimetric features in the lungs-IGTV were selected. The SHAP values of three BB models showed similar trends to the feature importance of the EBM. The global explanations of the EBM suggested that to mitigate the risk of pneumonitis, the ipsilateral lung should have V25Gy [%] < 36.8% and MOH65%[Gy] < 39.5Gy, and the heart should have D0.03cc [Gy] < 66.0Gy. Furthermore, an increased risk of pneumonitis was indicated with an increase in BMI, and, surprisingly, a decrease in MOH30%[Gy] in the contralateral lung. The EBM showed the best performance for predicting grade 2+ pneumonitis (AUC = 0.739), followed by RF, SVM, and XGB (AUC = 0.735, 0.733, and 0.717). CONCLUSION EBM has the potential to predict grade 2+ pneumonitis in LA-NSCLC patients treated with CRT and ICI, while providing guidance on DVC.
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Affiliation(s)
- L Duan
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - S H Lee
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - N Yegya-Raman
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - D Wang
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - B Li
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - C Friedes
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - M Iocolano
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - G D Kao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - Y Fan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | | | - S J Feigenberg
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - Y Xiao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
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Zhang X, Chang J, Ran R, Xiao Y, Cao H, Wang Y. Effect of Ketorolac Tromethamine Combined With Remifentanil on Reducing Complications During the General Anesthesia Emergence. J Perianesth Nurs 2023; 38:748-752. [PMID: 37245134 DOI: 10.1016/j.jopan.2023.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 12/21/2022] [Accepted: 01/07/2023] [Indexed: 05/29/2023]
Abstract
PURPOSE To observe the effect of ketorolac tromethamine combined with remifentanil in sedation and analgesia during general anesthesia emergence and reducing general anesthesia complications. DESIGN This is an experimental design. METHODS A total of 90 patients who underwent partial or total thyroidectomy in our hospital were selected and randomly divided into three groups with 30 cases in each group. Routine general anesthesia combined with endotracheal intubation was given for general anesthesia, and different treatments were administered when the skin was sutured. Group K: intravenous injection of ketorolac tromethamine 0.9 mg/kg, intravenous injection of normal saline 10 mL/h by micropump until awakening and extubation; R group: intravenous injection of normal saline 2 mL, micropump intravenous injection of remifentanil 0.1 mcg/kg/min until awakening and extubation; KR group: intravenous injection of ketorolac tromethamine 0.5 mg/kg, micropump intravenous injection remifentanil 0.05 mcg/kg/min until awakening and extubation. After the operation, all patients entered the postanesthesia care unit (PACU) for recovery, extubation, scoring. The incidence and condition of various complications were counted. FINDINGS There was no significant difference in the general information or operation duration of the patients (P > .05). The types of general anesthesia induction drugs in each group were the same, and there was no significant difference in drug measurement (P > .05). The visual analogue scales of KR group were: 2.2 ± 0.6(T0) and 2.4 ± 0.9(T1), the Self-Rating Anxiety Scale scores of the KR groups were: 4.1 ± 0.6(T0), 3.7 ± 0.4(T1). Compared with the KR group, the visual analogue scale and Self-Rating Anxiety Scale scores of the K and R groups at T0 and T1 were increased (P < .05); the visual analogue scale and Self-Rating Anxiety Scale scores of the K and R groups at T0 and T1 were not significantly different (P > .05); at T2, there was no significant difference in visual analogue scale and Self-Rating Anxiety Scale scores among the three groups (P > .05). There was no significant difference in extubation time or PACU transfer time among the three groups (P > .05). The incidence of adverse reactions in KR group were: 3.3% (nausea), 3.3% (vomit), 0 (coughing and drowsiness). Compared with the KR group, the incidence of adverse reactions was higher in the K and R groups. CONCLUSIONS Ketorolac tromethamine combined with remifentanil can effectively relieve pain and sedation during general anesthesia recovery and reduce the incidence of complications related to general anesthesia recovery. At the same time, the application of ketorolac tromethamine can reduce the dosage of remifentanil and inhibit the occurrence of adverse reactions when used alone.
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Affiliation(s)
- Xi Zhang
- Department of Anesthesiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, PR China
| | - Jie Chang
- Department of Anesthesiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, PR China
| | - Ran Ran
- Department of Anesthesiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, PR China
| | - Yun Xiao
- Department of Anesthesiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, PR China
| | - Hong Cao
- Department of Orthopedic Surgery, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, PR China
| | - Yuqi Wang
- Department of Anesthesiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, PR China; Department of Orthopedic Surgery, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, PR China; Jinzhou Medical University Union Training Base, Shiyan, Hubei, PR China.
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Yegya-Raman N, Lee SH, Friedes C, Iocolano M, Kim KN, Duan L, Li B, Sun L, Cohen R, Cengel KA, Levin WP, Langer C, Aggarwal C, Ky B, O'Quinn RP, Zou W, Teo K, Deasy JO, Xiao Y, Feigenberg SJ. Association of Cardiac Dose with Cardiac Events and Survival for Locally Advanced Non-Small Cell Lung Cancer (LA-NSCLC) Treated with Concurrent Chemoradiotherapy (cCRT) in the Era of Immune Checkpoint Inhibitor (ICI) Consolidation. Int J Radiat Oncol Biol Phys 2023; 117:S169-S170. [PMID: 37784421 DOI: 10.1016/j.ijrobp.2023.06.272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To assess the association of cardiac dose with post-cCRT cardiac events and survival among patients (pts) with LA-NSCLC after adoption of ICI consolidation, modern radiotherapy (RT) techniques, and data-driven cardiac constraints. MATERIALS/METHODS This single-institution, multi-site retrospective study included 335 pts with LA-NSCLC treated with definitive cCRT (60-70 Gy) from October 2017 to December 2021. Pts were evaluated for ICI consolidation. Cardiac dose constraints included heart volume receiving ≥50 Gy (V50) <25% and mean heart dose (MHD) <20 Gy. Heart, left anterior descending artery (LAD), and left ventricle were autocontoured, manually reviewed, and edited. 21 dosimetric parameters (mean dose, max dose, and min dose to the hottest x% volume [Dx%(Gy); x from 5-95 in 5% intervals]) for each were extracted, as well as LAD V15. Baseline cardiovascular disease (bCVD) was defined as heart failure (HF), coronary artery disease, peripheral vascular disease, or cerebrovascular disease. Primary endpoint was post-cCRT major adverse cardiac events (MACE), defined as acute coronary syndrome, HF hospitalization/urgent visit, coronary revascularization, or cardiac death. Secondary endpoints were grade ≥3 cardiac events (CTCAE v5.0), overall survival (OS), cancer specific mortality (CSM), and other cause mortality (OCM). Competing risk regression was used for MACE and grade ≥3 cardiac events, and Cox regression for OS, CSM, and OCM. RESULTS Median age was 68 years, 139 (41%) had bCVD, and 225 (67%) received consolidation ICI. Proton therapy was used in 117 (35%), intensity-modulated RT in 199 (59%), and 3D conformal RT in 19 (6%). Median MHD was 8.7 Gy (IQR 4.6-14.4) and median LAD V15 1.4% (IQR 0-22). Median follow-up was 39.5 months. 35 MACE events occurred; 1- and 2-year cumulative incidence (CI) were 4.2% and 9.5%. No cardiac dosimetric parameter associated with MACE after adjusting for bCVD and age (e.g., MHD sHR 0.98/Gy, 95% CI 0.93-1.03, p = 0.43) or within the following 3 subgroups: no bCVD, photon therapy, and ICI consolidation. 87 grade ≥3 cardiac events occurred; 1- and 2- year CI were 12.6% and 20.4%. Heart dose was not associated with grade ≥3 cardiac events after adjusting for bCVD, ECOG, and BMI (e.g., MHD sHR 1.00/Gy, 95% CI 0.97-1.03, p = 0.85) or within the 3 aforesaid subgroups. 183 OS events occurred, including 125 CSM and 58 OCM events. Multiple cardiac dosimetric parameters associated with worse OS on multivariable analysis (e.g., LAD V15 HR 1.01/%, 95% CI 1.00-1.02, p = 0.003), driven by associations with CSM (LAD V15 HR 1.02/%, p<0.001) but not OCM (LAD V15 HR 1.00/%, p = 0.73). Median OS was worse for LAD V15 ≥10% (22.2 vs 35.1 months, p = 0.004). CONCLUSION Among pts with LA-NSCLC treated with cCRT after adoption of ICI consolidation, modern RT techniques, and cardiac constraints, post-cCRT cardiac events were common but showed no association with cardiac dose. Cardiac dose associated with OS, driven by an association with CSM and not OCM, which may not reflect cardiac toxicity.
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Affiliation(s)
- N Yegya-Raman
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - S H Lee
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - C Friedes
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - M Iocolano
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - K N Kim
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - L Duan
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - B Li
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - L Sun
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - R Cohen
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - K A Cengel
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - W P Levin
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - C Langer
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - C Aggarwal
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - B Ky
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, PA
| | - R P O'Quinn
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, PA
| | - W Zou
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - K Teo
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - J O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Y Xiao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - S J Feigenberg
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
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Lee SH, Yegya-Raman N, Duan L, Li B, Friedes C, Iocolano M, Caruana R, Apte A, Deasy JO, Fan Y, Kao GD, Feigenberg SJ, Xiao Y. Multitask AI Models for the Joint Prediction of Overall Survival, Progression-Free Survival, and Death without Progression as a Composite Endpoint for LA-NSCLC Patients Treated with Chemoradiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:S54. [PMID: 37784521 DOI: 10.1016/j.ijrobp.2023.06.344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Prior methods model the risk of endpoints separately. Herein, we construct a composite AI model that considers multiple endpoints jointly, including overall survival (OS), progression-free survival (PFS), and death without progression (DWP). Our hypothesis is that the composite model potentially improves predictive performance for patients with locally advanced non-small cell lung cancer (LANSCLC) treated with chemoradiotherapy (CRT). MATERIALS/METHODS A total of 335 LANSCLC patients treated with definitive CRT, including all evaluable patients accrued from Oct 2017 to Dec 2021, were randomly split into training/test subsets (n = 234/101). Cardio-pulmonary substructures (CPSs) were autocontoured, manually reviewed, and edited if necessary. A total of 1093 non-independent dosimetric parameters were extracted, including GTVp, GTVn, GTV, PTV, esophagus, lungs minus IGTV, left/right lung, 15 CPSs, and the overlapping volume of each OAR with PTV and the distance from each OAR to GTVp/GTVn. Other clinical parameters included age, consolidation immunotherapy (CI), ECOG score, Charlson comorbidity index, coronary heart disease, histology, PD-L1 expression, and clinical stage (AJCC 8). Within training, censored time-to-event data were imputed based on conditional event distributions derived from Kaplan-Meier estimators for casting survival analysis as a regression problem and training neural additive model (NAM) regressors. Features were selected by LASSO regression for a single endpoint (OS, PFS, DWP) and multi-task (MT) LASSO regression for four separate composite endpoints (OS-PFS, OS-DWP, PFS-DWP, OS-PFS-DWP). The performance of MT NAMs in the test set that jointly predicted the composite endpoints was evaluated using the C-index and compared to that of a single task (ST) NAM that predicted each endpoint separately. RESULTS The best testing performance in predicting OS and DWP was attained by the MT NAM that jointly predicted all endpoints (c-index = 0.65, 95% CI 0.58-0.71 for OS; c-index = 0.78, 95% CI 0.69-0.87 for DWP). The best model to predict PFS was also MT between PFS and DWP (c-index = 0.59, 95% CI 0.52-0.65). The c-indices of all ST NAMs were less than 0.56. The best MT NAMs significantly outperformed ST NAMs in predicting OS (p = 0.001) and DWP (p = 0.01) except for PFS (p = 0.32). The best MT NAM in predicting OS and DWP included ECOG score, atria-PTV overlap volume, D75% [Gy] to the left atrium (LA), pulmonary arterial volume, histology (adenocarcinoma), D65% [Gy] to the descending aorta (DA), V10 Gy [%] of the LA and CI in order of overall importance. ECOG score consistently ranked as the most important feature for all four MT NAMs. An increase of ECOG score from 0 to 2 indicated a 6-month earlier risk of mortality and DWP. Atria-PTV overlap volume and D65% [Gy] to the DA were included in all four MT NAMs. CONCLUSION MT AI models improved outcome prediction in patients with LANSCLC treated with CRT by jointly learning commonalities between the primary and auxiliary endpoints.
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Affiliation(s)
- S H Lee
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - N Yegya-Raman
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - L Duan
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - B Li
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - C Friedes
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - M Iocolano
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | | | - A Apte
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Y Fan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - G D Kao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - S J Feigenberg
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - Y Xiao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
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Wang D, Lee SH, Yegya-Raman N, Feigenberg SJ, Kao GD, Largent AL, Friedes C, Iocolano M, McBeth R, Duan L, Li B, Fan Y, Xiao Y. Interpretable Machine Learning Models for Severe Esophagitis Prediction in LA-NSCLC Patients Treated with Chemoradiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e490. [PMID: 37785548 DOI: 10.1016/j.ijrobp.2023.06.1720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiation esophagitis is a common adverse event that may occur during chemoradiotherapy (CRT) that can adversely affect survival. This study aimed to develop interpretable machine learning (ML) models to predict grade 3 and higher radiation esophagitis in patients receiving definitive CRT therapy for locally advanced non-small cell lung cancer (LA-NSCLC). MATERIALS/METHODS A total of 335 patients with LA-NSCLC who received definitive concurrent CRT at a single institution from 2017 to 2021 were retrospectively identified. Patients with esophagitis were identified and graded according to CTCAE v5.0. For each patient, 31 clinical features and 1093 dose-volume histogram (DVH) parameters from 19 structures were collected. The data was then randomly split into training (n = 233) and testing (n = 102) datasets. Feature selection was performed on the training dataset using the minimum redundancy maximum relevance algorithm to find a set of relevant features while controlling for the redundancy within the selected features, which were then followed by the Boruta algorithm to remove unimportant features and make the ML model more accurate. Synthetic minority oversampling technique was used to handle class-imbalanced datasets by generating synthetic samples for the minority class. Four variants of the Generalized Additive Model (GAM), including Explainable Boosting Machine (EBM), neural GAM (NODE-GAM), eXtreme Gradient Boosting (XGB)-GAM, and Spline, were built with selected features. The models' performance in predicting esophagitis was evaluated using the area under the receiver operating characteristic curve (AUC) in the test dataset. Shape plots were used to interpret the models' output and explain the selected features' contribution to the prediction. RESULTS NODE-GAM yielded the highest performance (F1 score = 0.57, accuracy = 0.8, and AUC = 0.837), followed by EBM (F1 score = 0.43, accuracy = 0.8, and AUC = 0.7), Spline (F1 score = 0.42, accuracy = 0.74, and AUC = 0.737), and XGB-GAM (F1 score = 0.42, accuracy = 0.76, and AUC = 0.71). Selected features included D95%[Gy], D90%[Gy], D65%[Gy] and V40Gy [%] for the esophagus, V10Gy [%] for the pulmonary artery, and the distance from GTVn to the ascending aorta. The analysis of the selected features indicated that an increased radiation dose delivered to the esophagus and a shorter distance between the ascending aorta and GTVn were associated with a higher risk of developing esophagitis. CONCLUSION Our study demonstrates the feasibility of developing interpretable ML models to predict esophagitis in patients with LA-NSCLC patients treated with CRT. NODE-GAM provided the best accuracy while providing insights into the driving dosimetric factors that could be used to guide optimal RT planning.
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Affiliation(s)
- D Wang
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - S H Lee
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - N Yegya-Raman
- Department of Radiation Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - S J Feigenberg
- Department of Radiation Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - G D Kao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - A L Largent
- The University of Pennsylvania, Philadelphia, PA
| | - C Friedes
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - M Iocolano
- University of Pennsylvania, Philadelphia, PA
| | - R McBeth
- University of Texas Southwestern Medical Center, Dallas, TX
| | - L Duan
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - B Li
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - Y Fan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - Y Xiao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
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Zhu J, Song Y, Xiao Y, Ma L, Hu C, Yang H, Wang X, Lyu W. Metagenomic reconstructions of caecal microbiome in Landes, Roman and Zhedong White geese. Br Poult Sci 2023; 64:565-576. [PMID: 37493577 DOI: 10.1080/00071668.2023.2239172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 06/10/2023] [Accepted: 06/16/2023] [Indexed: 07/27/2023]
Abstract
1. The caecal microbiota in geese play a crucial role in determining the host's health, disease status and behaviour, as evidenced by extensive epidemiological data. The present investigation conducted 10× metagenomic sequencing of caecal content samples obtained from three distinct goose species, namely Landes geese, Roman geese and Zhedong White geese (n = 5), to explore the contribution of the gut microbiome to carbohydrate metabolism.2. In total, 337GB of Illumina data were generated, which identified 1,048,575 complete genes and construction of 331 metagenomic bins, encompassing 78 species from nine phyla. Firmicutes, Bacteroidetes, Actinobacteria, Proteobacteria and Bacteria were identified as the dominant phyla while Prevotella, Bacteroides, Streptococcus, and Subdoligranulum were the most abundant genera in the caecum of geese.3. The genes were allocated to 375 pathways using the Kyoto Encyclopedia of Genes and Genome (KEGG) analysis. The most abundant classes in the caecum of geese were confirmed to be glycoside hydrolases (GHs), glycosyl transferases (GTs), as identified through the carbohydrate-active enzyme (CAZyme) database mapping. Subdoligranulum variabile and Mediterraneibacter glycyrrhizinilyticus were discovered to potentially facilitate carbohydrate digestion in geese.4. Notwithstanding, further investigation and validation are required to establish a connection between these species and CAZymes. Based on binning analysis, Mediterraneibacter glycyrrhizinilyticus and Ruminococcus sp. CAG:177 are potential species in LD geese that contribute to the production of fatty liver.
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Affiliation(s)
- J Zhu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
- College of Animal Science, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China
| | - Y Song
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Y Xiao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - L Ma
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - C Hu
- College of Animal Science, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China
| | - H Yang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - X Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - W Lyu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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Iocolano M, Yegya-Raman N, Wang X, Friedes C, Lee SH, Duan L, Li B, Levin WP, Cengel KA, Langer C, Cohen R, Sun L, Aggarwal C, Doucette A, Xiao Y, Teo K, O'Reilly SE, Zou W, Simone CB, Feigenberg SJ. Proton Beam Therapy (PBT) Versus Intensity-Modulated Radiotherapy (IMRT) for Locally Advanced Non-Small Cell Lung Cancer (LA-NSCLC) in the Era of Immune Checkpoint Inhibitor (ICI) Consolidation: A Retrospective Cohort Study. Int J Radiat Oncol Biol Phys 2023; 117:e26. [PMID: 37784996 DOI: 10.1016/j.ijrobp.2023.06.705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Patients (pts) with LA-NSCLC treated with concurrent chemoradiation (cCRT) and ICI consolidation are at high risk for treatment-related toxicities and subsequent hospitalization. We hypothesized that PBT is associated with a reduction in acute unplanned hospitalizations as compared to IMRT in the era of ICI consolidation. MATERIALS/METHODS This single institution, multi-site retrospective study included consecutive pts with LA-NSCLC treated with definitive cCRT with either PBT or IMRT from October 2017 to December 2021. Pts were evaluated for consolidative ICI. Primary endpoint was unplanned treatment-related hospitalization within 90 days of first radiation (RT) treatment. Secondary endpoints included grade 3+ pneumonitis, grade 3+ esophagitis, PFS and OS. Logistic regression was used to assess associations with 90-day hospitalization. Competing risk regression was used for grade 3+ pneumonitis and esophagitis, and Cox regression for PFS and OS. RESULTS A total of 316 pts were included: 117 (37%) received PBT and 199 (63%) IMRT. Median age was 68.5 yrs; median RT dose 66.6 Gy (IQR 65.9-70.0). PBT group was older (median 71.1 vs 67.2 yrs, p<0.005) and had a higher Charlson comorbidity index (CCI) (median 4 vs 3, p = 0.02). There was no significant difference in ECOG, smoking pack-years, T stage, N stage, target volume size, or receipt of ICI consolidation (66.7% vs 68.3%, p = 0.76). PBT group had lower mean heart dose (5.9 vs 10.8 Gy, p<0.001), LAD V15 (0 vs 6 %, p = 0.001), mean lung dose (14.7 vs 15.7 Gy, p <0.008) and effective dose to immune circulating cells (median 3.7 vs 4.9 Gy, p<0.001) but not mean esophagus dose. PBT was associated with fewer unplanned 90-day hospitalizations (23.9% vs 34.7%); which persisted on multivariable analysis (OR 0.52, 95% CI 0.30-0.90, p = 0.02) after adjusting for CCI, smoking pack-years, T4 tumors and target volume. Reasons for hospitalization in PBT and IMRT groups included progression (1.7% vs 1.5%), definite/probable toxicity from cCRT (11.1% vs 18.6%), possible toxicity from cCRT (7.7% vs 12.6%) or unrelated to cCRT (3.4% vs 2.0%). There was no significant difference between PBT or IMRT groups in G3+ pneumonitis (1-year 6.0% vs 9.1%, p = 0.49), G3+ esophagitis (1-year 6.0% vs 6.5%, p = 0.71), PFS (median 14.4 vs 15.1 months, p = 0.69), or OS (median 34.2 vs 29.4 months, p = 0.41). CONCLUSION Among pts with LA-NSCLC treated with cCRT in the era of ICI consolidation, PBT was associated with fewer acute unplanned hospitalizations compared to IMRT. There was no difference in G3+ pneumonitis, G3+ esophagitis, PFS or OS.
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Affiliation(s)
- M Iocolano
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - N Yegya-Raman
- Department of Radiation Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - X Wang
- University of Pennsylvania, Department of Biostatistics and Epidemiology, Philadelphia, PA
| | - C Friedes
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - S H Lee
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - L Duan
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - B Li
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - W P Levin
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - K A Cengel
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - C Langer
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - R Cohen
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - L Sun
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - C Aggarwal
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - A Doucette
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - Y Xiao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - K Teo
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - S E O'Reilly
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - W Zou
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | | | - S J Feigenberg
- Department of Radiation Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
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Friedes C, Yegya-Raman N, Iocolano M, Lee SH, Li B, Duan L, Levin WP, Cengel KA, Sun L, Aggarwal C, Marmarelis ME, Doucette A, Cohen R, Xiao Y, Langer C, Feigenberg SJ. Patterns of Failure, Volume of Disease Progression, and Subsequent Ablative Management in Locally Advanced Non-Small Cell Lung Cancer (LA-NSCLC) Treated with Definitive Chemoradiation and Consolidation Immune Checkpoint Inhibitors (ICI). Int J Radiat Oncol Biol Phys 2023; 117:e18-e19. [PMID: 37784800 DOI: 10.1016/j.ijrobp.2023.06.687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) For patients (pts) with LA-NSCLC treated with chemoradiation and consolidation ICI (CRT+ICI), the patterns of failure (POF) and volume of disease progression (PD) are not well characterized. The primary objective of this study was to classify POFs, the frequency of low volume relapse (LVR), and identify pts eligible for further ablative therapy. MATERIALS/METHODS We retrospectively identified pts with unresectable stage III NSCLC treated with CRT+ICI between October 2017 and December 2021 at a single institution. Site of first failure was classified as locoregional (LRF), distant (DF), or synchronous LRF + DF. Any LRF was subclassified as in field (IFF; PD within 90% isodose line), marginal (MF; within 50% isodose line) or out of field (OOF; outside of 50% isodose line). LVR was defined as < 3 discrete sites of PD in any number or location of organs. Pts with distant LVR were considered to have oligometastatic relapse. Ablative candidates were defined as pts with < 3 discrete sites of PD amenable to further RT or surgery. Cumulative incidence of PD was calculated with death as a competing risk. Progression free survival (PFS) and overall survival (OS) were calculated from the end of RT and assessed via Kaplan Meier. Multivariable Cox modeling was used to assess correlation of pt characteristics and time-to-event outcomes. Logistic regression was used to predict variables associated with LVR. RESULTS A total of 229 pts received CRT+ICI. Median follow up was 39 months and 119 pts experienced PD. Median PFS and OS were 18.4 and 34.5 months, respectively. Of pts with PD, 71 (60%) had DF, 28 (24%) had LRF+DF, and 20 (17%) had LRF. Of pts with any LRF, 28 (57%) had IFF, 10 (21%) had MF, and 10 (21%) had OOF. Estimated 1-year cumulative incidence of LRF, DF, and LRF+DF were 9.3% (95% CI 4.5-16), 39% (95% CI 31-48), and 19% (95% CI 12-27), respectively. A total of 63 (53%) pts had LVR. In pts with LVR, 19 (30%) had isolated thoracic relapse and 44 (69%) had oligometastatic relapse. Most oligometastatic disease was intracranial (22 metastases, 44%). Pts with LVR had a longer median OS vs pts with high volume relapse (37.4 vs 15.2 months, p<0.001). At time of PD, 56 (47%) pts were candidates for further ablative therapies. Subsequent anticancer therapies were local therapy alone (35%), local and systemic therapy (16%), systemic therapy alone (36%), or no therapy (13%). On multivariable analysis, LVR (HR 0.39; 95% CI 0.21-0.73, p = 0.003) and longer receipt of ICI (HR 0.96; 95% CI 0.95-0.98; p<0.001) were associated with improved survival while squamous histology (HR 2.26; 95% CI 1.18-4.32; p = 0.039) was associated with worse survival. Longer receipt of ICI was the only variable predictive for the development of LVR (OR 1.03; 95% CI 1.01-1.05; p = 0.004). CONCLUSION This is the largest real-world series reporting POF after CRT+ICI for stage III NSCLC. Approximately half of pts experience LVR and are candidates for further ablative therapy. Further data are needed to define optimal treatment strategies for pts with LVR after CRT+ICI.
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Affiliation(s)
- C Friedes
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - N Yegya-Raman
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - M Iocolano
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - S H Lee
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - B Li
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - L Duan
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - W P Levin
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - K A Cengel
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - L Sun
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - C Aggarwal
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - M E Marmarelis
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - A Doucette
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - R Cohen
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - Y Xiao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - C Langer
- Department of Hematology and Oncology, University of Pennsylvania, Philadelphia, PA
| | - S J Feigenberg
- Department of Radiation Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
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Mayo C, Feng M, Brock KK, Kudner RF, Balter P, Buchsbaum J, Caissie AL, Covington E, Daugherty EC, Fuller CD, Jr DSH, Krauze AV, Kruse JJ, McNutt TR, Popple RA, Richardson S, Palta JR, Purdie TG, Tarbox LR, Xiao Y. Operational Ontology for Radiation Oncology (OORO): A Professional Society-Based, Multi-Stakeholder Consensus Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data. Int J Radiat Oncol Biol Phys 2023; 117:S18-S19. [PMID: 37784446 DOI: 10.1016/j.ijrobp.2023.06.239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) There is a critical need for large-scale, multi-institutional "real-world" data to evaluate patient, diagnosis and treatment factors affecting oncology patient outcomes. However, lack of data standardization undermines the potential for automated learning from the vast amount of information routinely archived in electronic health records (EHRs), Radiation Oncology Information Systems and other cancer care databases. As next step to promote data standardization beyond the American Association of Physicists in Medicine (AAPM)'s TG-263 guidance for radiotherapy (RT) nomenclature, the AAPM's Big Data Subcommittee (BDSC) has led an international RT professional society collaboration to develop the Operational Ontology for Radiation Oncology (OORO). MATERIALS/METHODS Initiated July 2019 to explore issues that typically compromise formation of large inter- and intra- institutional databases from EHRs, the AAPM's BDSC membership includes representatives from the AAPM, American Society of Radiation Oncology (ASTRO), Canadian Organization of Medical Physicists (COMP), Canadian Association of Radiation Oncology (CARO), European Society of Therapeutic Radiation Oncology (ESTRO) and clinical trials experts from NRG Oncology. Multiple external stakeholders were engaged, including government agencies, vendors and RT community members through the iterative and consensus-driven approach to OORO development. RESULTS The OORO includes 42 key elements, 359 attributes, 144 value sets, and 155 relationships, ranked for priority of implementation based on clinical significance, likelihood of availability in EHRs, or ability to modify routine clinical processes to permit aggregation. The initial version of OORO includes many disease-site independent concepts common for all cancer patients and a smaller set specific for prostate cancer. The OORO development methodology is currently being applied/adapted to include additional disease site-specific concepts beginning with head and neck cancers. CONCLUSION The first of its kind in radiation oncology, the OORO is a professional society-based, multi-stakeholder, consensus driven informatics standard. The iterative and collaborative approach to ontology development and refinement aims to ensure that OORO serves as a « living » guidance document, facilitating incremental expansion of data elements over time, as disease site-specific standards are set and RT concepts evolve. Supporting construction of comprehensive "real-world" datasets and application of advanced analytic techniques, including artificial intelligence (AI), OORO holds the potential to revolutionize patient management and improve outcomes.
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Affiliation(s)
- C Mayo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI
| | - M Feng
- University of California, San Francisco, San Francisco, CA
| | - K K Brock
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - R F Kudner
- American Society for Radiation Oncology, Arlington, VA
| | - P Balter
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - A L Caissie
- Dalhousie University/Nova Scotia Health, Halifax, NS, Canada
| | - E Covington
- University of Alabama at Birmingham, Birmingham, AL
| | - E C Daugherty
- Department of Radiation Oncology, University of Cincinnati Medical Center, Cincinnati, OH
| | - C D Fuller
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - D S Hong Jr
- Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - A V Krauze
- National Institute of Health, Washington DC, DC
| | - J J Kruse
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN
| | - T R McNutt
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - R A Popple
- University of Alabama at Birmingham, Birmingham, AL
| | - S Richardson
- Washington University School of Medicine, Springfield, MO, United States
| | - J R Palta
- Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA
| | | | | | - Y Xiao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
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Zhou Z, Tong C, Tian L, Zhang X, Li Y, Xiao Y, Yan L. Retrospective study of preservation and transection of the round ligament of uterus during laparoscopic transabdominal preperitoneal inguinal hernia repair in adult women. Hernia 2023; 27:1195-1202. [PMID: 36949269 PMCID: PMC10533639 DOI: 10.1007/s10029-023-02765-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/01/2023] [Indexed: 03/24/2023]
Abstract
PURPOSE The processing of the round ligament of uterus in laparoscopic transabdominal preperitoneal (TAPP) repair of inguinal hernia in women has contended. This study aimed to explore whether there is any difference in the surgical outcome and postoperative complications between the two processing modalities, preservation, and transection of the round ligament of uterus, in adult female inguinal hernia patients undergoing TAPP. METHODS Retrospective analysis of 84 female patients (117 sides) who underwent TAPP in XXX Hospital from July 2013 to August 2022. Patient characteristics and technical details of the surgical procedure were collected and divided into two groups according to whether the round ligament of uterus was severed intraoperatively or not. There were 52 cases (77 sides) in the group with preservation of the round ligament of uterus and 32 cases (40 sides) in the group with transection of the round ligament of uterus, comparing the general condition, surgical condition, and the occurrence of postoperative related complications between the 2 groups. RESULTS The operative time for unilateral primary inguinal hernia was (129.2 ± 35.1) and (89.5 ± 42.6) minutes in the preservation and transection groups, respectively. There were no statistical differences between the two groups in terms of age, length of hospital stay, ASA, BMI, history of lower abdominal surgery, type and side of hernia, intraoperative bleeding, and time to surgery for primary bilateral hernia (P > 0.05). In addition, there was likewise no statistical difference in the occurrence of postoperative Clavien-Dindo classification, VAS, seroma, mesh infection, labia majora edema, chronic pain or abnormal sensation in the inguinal region, and hernia recurrence in the two groups as well (P > 0.05). CONCLUSION There is no evidence that the transection of the round ligament of the uterus during TAPP has an impact on postoperative complications in patients. However, given the important role of the uterine round ligament in the surgical management of patients with uterine prolapse and the high incidence of uterine prolapse in older women, hernia surgeons should also be aware of the need to protect the round ligament of uterus in older women.
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Affiliation(s)
- Z Zhou
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
- Yan'an University, Yan'an, China
| | - C Tong
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - L Tian
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - X Zhang
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - Y Li
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - Y Xiao
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China
| | - L Yan
- Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, 710068, China.
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Chen Y, Xiao Y, Wei F, Yang J, Dai L, Zhong C, Liu J. [Spatial distribution of Oncomelania hupensis spread in Hubei Province from 2020 to 2022]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:349-357. [PMID: 37926469 DOI: 10.16250/j.32.1374.2023079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
OBJECTIVE To identify the spatial distribution pattern of Oncomelania hupensis spread in Hubei Province, so as to provide insights into precision O. hupensis snail control in the province. METHODS Data pertaining to emerging and reemerging snails were collected from Hubei Province from 2020 to 2022 to build a spatial database of O. hupensis snail spread. The spatial clustering of O. hupensis snail spread was identified using global and local spatial autocorrelation analyses, and the hot spots of snail spread were identified using kernel density estimation. In addition, the correlation between environments with snail spread and the distance from the Yangtze River was evaluated using nearest-neighbor analysis and Spearman correlation analysis. RESULTS O. hupensis snail spread mainly occurred along the Yangtze River and Jianghan Plain in Hubei Province from 2020 to 2022, with a total spread area of 4 320.63 hm2, including 1 230.77 hm2 emerging snail habitats and 3 089.87 hm2 reemerging snail habitats. Global spatial autocorrelation analysis showed spatial autocorrelation in the O. hupensis snail spread in Hubei Province in 2020 and 2021, appearing a spatial clustering pattern (Moran's I = 0.003 593 and 0.060 973, both P values < 0.05), and the mean density of spread snails showed spatial aggregation in Hubei Province in 2020 (Moran's I = 0.512 856, P < 0.05). Local spatial autocorrelation analysis showed that the high-high clustering areas of spread snails were mainly distributed in 50 settings of 10 counties (districts) in Hubei Province from 2020 to 2022, and the high-high clustering areas of the mean density of spread snails were predominantly found in 219 snail habitats in four counties of Jiangling, Honghu, Yangxin and Gong'an. Kernel density estimation showed that there were high-, secondary high- and medium-density hot spots in snail spread areas in Hubei Province from 2020 to 2022, which were distributed in Jingzhou District, Wuxue District, Honghu County and Huangzhou District, respectively. There were high- and medium-density hot spots in the mean density of spread snails, which were located in Jiangling County, Honghu County and Yangxin County, respectively. In addition, the snail spread areas negatively correlated with the distance from the Yangtze River (r = -0.108 9, P < 0.05). CONCLUSIONS There was spatial clustering of O. hupensis snail spread in Hubei Province from 2020 to 2022. The monitoring and control of O. hupensis snails require to be reinforced in the clustering areas, notably in inner embankments to prevent reemerging schistosomiasis.
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Affiliation(s)
- Y Chen
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - Y Xiao
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - F Wei
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - J Yang
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - L Dai
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - C Zhong
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - J Liu
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
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Li KX, Wu QB, Zhao FQ, Zhang JL, Luo SL, Hu SD, Wu B, Li HL, Lin GL, Qiu HZ, Lu JY, Xu L, Wang Z, Du XH, Kang L, Wang X, Wang ZQ, Liu Q, Xiao Y. [Development and validation of a prognostic prediction model for patients with stage Ⅰ to Ⅲ colon cancer incorporating high-risk pathological features]. Zhonghua Wai Ke Za Zhi 2023; 61:753-759. [PMID: 37491167 DOI: 10.3760/cma.j.cn112139-20230403-00137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Objective: To examine a predictive model that incorporating high risk pathological factors for the prognosis of stage Ⅰ to Ⅲ colon cancer. Methods: This study retrospectively collected clinicopathological information and survival outcomes of stage Ⅰ~Ⅲ colon cancer patients who underwent curative surgery in 7 tertiary hospitals in China from January 1, 2016 to December 31, 2017. A total of 1 650 patients were enrolled, aged (M(IQR)) 62 (18) years (range: 14 to 100). There were 963 males and 687 females. The median follow-up period was 51 months. The Cox proportional hazardous regression model was utilized to select high-risk pathological factors, establish the nomogram and scoring system. The Bootstrap resampling method was utilized for internal validation of the model, the concordance index (C-index) was used to assess discrimination and calibration curves were presented to assess model calibration. The Kaplan-Meier method was used to plot survival curves after risk grouping, and Cox regression was used to compare disease-free survival between subgroups. Results: Age (HR=1.020, 95%CI: 1.008 to 1.033, P=0.001), T stage (T3:HR=1.995,95%CI:1.062 to 3.750,P=0.032;T4:HR=4.196, 95%CI: 2.188 to 8.045, P<0.01), N stage (N1: HR=1.834, 95%CI: 1.307 to 2.574, P<0.01; N2: HR=3.970, 95%CI: 2.724 to 5.787, P<0.01) and number of lymph nodes examined (≥36: HR=0.438, 95%CI: 0.242 to 0.790, P=0.006) were independently associated with disease-free survival. The C-index of the scoring model (model 1) based on age, T stage, N stage, and dichotomous variables of the lymph nodes examined (<12 and ≥12) was 0.723, and the C-index of the scoring model (model 2) based on age, T stage, N stage, and multi-categorical variables of the lymph nodes examined (<12, 12 to <24, 24 to <36, and ≥36) was 0.726. A scoring system was established based on age, T stage, N stage, and multi-categorical variables of lymph nodes examined, the 3-year DFS of the low-risk (≤1), middle-risk (2 to 4) and high-risk (≥5) group were 96.3% (n=711), 89.0% (n=626) and 71.4% (n=313), respectively. Statistically significant difference was observed among groups (P<0.01). Conclusions: The number of lymph nodes examined was an independent prognostic factor for disease-free survival after curative surgery in patients with stage Ⅰ to Ⅲ colon cancer. Incorporating the number of lymph nodes examined as a multi-categorical variable into the T and N staging system could improve prognostic predictive validity.
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Affiliation(s)
- K X Li
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Q B Wu
- Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - F Q Zhao
- Department of Colorectal Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J L Zhang
- Department of Gastrointestinal Surgery, Peking University First Hospital, Beijing 100034, China
| | - S L Luo
- Department of Colorectal Surgery, the Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
| | - S D Hu
- Department of General Surgery, the First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - B Wu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - H L Li
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - G L Lin
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - H Z Qiu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J Y Lu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - L Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Z Wang
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - X H Du
- Department of General Surgery, the First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - L Kang
- Department of Colorectal Surgery, the Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
| | - X Wang
- Department of Gastrointestinal Surgery, Peking University First Hospital, Beijing 100034, China
| | - Z Q Wang
- Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Q Liu
- Department of Colorectal Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Xiao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
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Xiao Y, Miao Z, Sun J, Xing W, Wei Y, Bai J, Ye H, Si Y, Cai L. Allisartan Isoproxil Promotes Uric Acid Excretion by Interacting with Intestinal Urate Transporters in Hyperuricemic Zebrafish (Danio rerio). Bull Exp Biol Med 2023; 175:638-643. [PMID: 37853267 DOI: 10.1007/s10517-023-05917-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Indexed: 10/20/2023]
Abstract
To evaluate the urate-lowering effect and potential drug targets of antihypertensive agent allisartan isoproxil (ALI) and its bioactive metabolite EXP3174, we developed an acute hyperuricemic zebrafish model using potassium oxonate and xanthine sodium salt. Losartan potassium served as the positive control (reference drug). In this model, ALI and losartan potassium exerted a greater urate-lowering effect than EXP3174 indicating that the latter is not the critical substance for elimination of uric acid. The quantitative real-time PCR showed that ALI upregulates the expression of intestinal urate transporters genes ABCG2, PDZK1, and SLC2A9 (p<0.01). Thus, we can suggest that this substance promotes uric acid excretion mainly by interacting with intestinal urate transporters.
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Affiliation(s)
- Y Xiao
- Shenzhen Salubris Pharmaceutical Co., Ltd, Shenzhen, Guangdong, China
| | - Z Miao
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China
| | - J Sun
- Shenzhen Salubris Pharmaceutical Co., Ltd, Shenzhen, Guangdong, China
| | - W Xing
- Shenzhen Salubris Pharmaceutical Co., Ltd, Shenzhen, Guangdong, China
| | - Y Wei
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China
| | - J Bai
- Shenzhen Salubris Pharmaceutical Co., Ltd, Shenzhen, Guangdong, China
| | - H Ye
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China
| | - Y Si
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China
- College of Life Science and Engineering, Foshan University, Foshan, Guangdong, China
| | - L Cai
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China.
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Li C, Wu J, Zhang L, Wang F, Xu L, Zhao Y, Xiao Y, Zhuang F, Hou L, Zhao D, She Y, Xie D, Chen C. Brief Report: Acetaminophen Reduces Neoadjuvant Chemoimmunotherapy Efficacy in Patients With NSCLC by Promoting Neutrophil Extracellular Trap Formation: Analysis From a Phase 2 Clinical Trial. JTO Clin Res Rep 2023; 4:100556. [PMID: 37654895 PMCID: PMC10466912 DOI: 10.1016/j.jtocrr.2023.100556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/26/2023] [Accepted: 07/15/2023] [Indexed: 09/02/2023] Open
Abstract
Introduction Neoadjuvant chemoimmunotherapy has recently been the standard of care for resectable locally advanced NSCLC. Factors affecting the neoadjuvant immunotherapy efficacy, however, remain elusive. Metabolites have been found to modulate immunity and associate with immunotherapeutic efficacy in advanced tumors. Therefore, we aimed to investigate the impact of plasma metabolites on the pathologic response after neoadjuvant chemoimmunotherapy. Methods Patients with stage IIIA (N2) NSCLC who underwent neoadjuvant chemoimmunotherapy in a prospective phase 2 clinical trial (NCT04422392) were enrolled. Metabolomic profiling of the plasma before treatment was performed using liquid chromatography-mass spectrometry. A Lewis lung carcinoma mouse model was further used to investigate the underlying mechanisms. Proteomics and multiplexed immunofluorescence of the mice tumor were performed. Results A total of 39 patients who underwent three cycles of anti-programmed cell death-protein 1 (anti-PD-1) (sintilimab) and chemotherapy were included. The level of acetaminophen (APAP) was found to be significantly elevated in patients who did not achieve major pathologic response. The level of APAP remained an independent predictor for major pathologic response in multivariate logistic analysis. In the Lewis lung carcinoma mouse model, combination of APAP and anti-PD-1 treatment significantly reduced the treatment efficacy compared with anti-PD-1 treatment alone. Proteomics of the tumor revealed that myeloid leukocyte activation and neutrophil activation pathways were enriched after APAP treatment. Tumor microenvironment featuring analysis also revealed that the combination treatment group was characterized with more abundant neutrophil signature. Further multiplexed immunofluorescence confirmed that more neutrophil extracellular trap formation was observed in the combination treatment group. Conclusions APAP could impair neoadjuvant chemoimmunotherapy efficacy in patients with NSCLC by promoting neutrophil activation and neutrophil extracellular trap formation.
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Affiliation(s)
- Chongwu Li
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Junqi Wu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Lei Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Fang Wang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Long Xu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Yue Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Yun Xiao
- DeepKinase Co, Ltd., Beijing, People’s Republic of China
| | - Fenghui Zhuang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Likun Hou
- Department of Pathology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Deping Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Yunlang She
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Dong Xie
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
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Zeng Y, Xiao Y, Zeng F, Jiang L, Yan S, Wang X, Lin Q, Yu L, Lu X, Zhang Y, Lin Y. Assessment of anti-nucleosome antibody (ANuA) isotypes for the diagnosis and prediction of systemic lupus erythematosus and lupus nephritis activity. Clin Exp Med 2023; 23:1677-1689. [PMID: 36385418 DOI: 10.1007/s10238-022-00942-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 11/03/2022] [Indexed: 11/17/2022]
Abstract
Our study aims to investigate the serum levels of anti-nucleosome antibody (ANuA) isotypes in patients with systemic lupus erythematosus (SLE) and clarify ANuA isotypes that may diagnose and predict SLE. We detected anti-nucleosome antibodies (ANuA) in the serum from 120 patients with SLE, 99 patients suffering from other autoimmune diseases (OAD), and 50 healthy controls by performing IgG-, IgA-, and IgM-specific ELISAs. The serum levels of total anti-nuclear antibodies (ANA IgG), ANuA IgG subclasses (IgG1, IgG2, IgG3, and IgG4), anti-dsDNA antibodies, and the avidities of ANA IgG were also analysed using ELISAs. The levels of three ANuA isotypes (IgG, IgA, and IgM) were significantly higher in patients with SLE than in patients with OAD and healthy controls (p < 0.05). Moreover, the concentrations of ANuA isotypes increased in the active SLE and lupus nephritis (LN) groups and in patients with SLE presenting high-avidity IgG ANA (p < 0.05). Furthermore, ANuA isotype levels decreased significantly with drug therapy, while anti-dsDNA IgG levels decreased with the same trend. Additionally, ANuA isotypes were positively related to the SLEDAI (SLE Disease Activity Index) score, RAI (relative avidity index) of high-avidity IgG ANAs, and serum anti-dsDNA IgG levels. Last, the sensitivity and specificity values for SLE were 83.33 and 96.67% for ANuA IgG, 85.83 and 93.33% for ANuA IgA, and83.33 and 86.67% for ANuA IgM, respectively. The sensitivity and specificity values for LN were 61.67 and 96.67% for ANuA IgG, 49.17 and 96.67% for ANuA IgA, and 52.50 and 96.67% for ANuA IgM, respectively. In conclusion, we evaluated whether ANuA isotypes represent a diagnostic tool to predict SLE activity and define subsets of patients with LN.
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Affiliation(s)
- Yanli Zeng
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China.
| | - Yun Xiao
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China
| | - Fanxiang Zeng
- Department of Pharmacy, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, China
| | - Longcan Jiang
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China
| | - Shuidi Yan
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China
| | - Xuelian Wang
- Department of Obstetrics and Gynecology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China
| | - Qiaoduan Lin
- Department of Ultrasonography, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China
| | - Liang Yu
- Department of Ultrasonography, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China
| | - Xinxin Lu
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China
| | - Yan Zhang
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China
| | - Yiqiang Lin
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361004, China.
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Liu K, He S, Sun S, Zhang X, He Y, Quan F, Pang B, Xiao Y. Computational Quantification of Cancer Immunoediting. Cancer Immunol Res 2023; 11:1159-1167. [PMID: 37540180 DOI: 10.1158/2326-6066.cir-22-0926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/31/2023] [Accepted: 07/10/2023] [Indexed: 08/05/2023]
Abstract
The remarkable success of cancer immunotherapy has revolutionized cancer treatment, emphasizing the importance of tumor-immune interactions in cancer evolution and treatment. Cancer immunoediting describes the dual effect of tumor-immune interactions: inhibiting tumor growth by destroying tumor cells and facilitating tumor escape by shaping tumor immunogenicity. To better understand tumor-immune interactions, it is critical to develop computational methods to measure the extent of cancer immunoediting. In this review, we provide a comprehensive overview of the computational methods for quantifying cancer immunoediting. We focus on describing the basic ideas, computational processes, advantages, limitations, and influential factors. We also summarize recent advances in quantifying cancer immunoediting studies and highlight future research directions. As the methods for quantifying cancer immunoediting are continuously improved, future research will further help define the role of immunity in tumorigenesis and hopefully provide a basis for the design of new personalized cancer immunotherapy strategies.
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Affiliation(s)
- Kun Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shengyuan He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shangqin Sun
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Xinxin Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yanzhen He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Fei Quan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Bo Pang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yun Xiao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
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Zhao FQ, Zhou L, Du XH, Wu AW, Yang H, Xu L, Liu XZ, Hu SD, Xiao Y, Liu Q. [Analysis of prognosis and influencing factors of No. 253 lymph node metastasis in descending colon, sigmoid colon, and rectal cancer: a multicenter study]. Zhonghua Wai Ke Za Zhi 2023; 61:760-767. [PMID: 37491168 DOI: 10.3760/cma.j.cn112139-20230331-00132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Objectives: To analyze the influencing factors of No. 253 lymph node metastasis in descending colon cancer, sigmoid colon cancer, and rectal cancer, and to investigate the prognosis of No. 253 lymph node-positive patients by propensity score matching analysis. Methods: A retrospective analysis was performed on clinical data from patients with descending colon cancer, sigmoid colon cancer, rectosigmoid junction cancer, and rectal cancer who underwent surgery between January 2015 and December 2019 from the Cancer Hospital of the Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Peking Union Medical College Hospital, General Hospital of the Chinese People's Liberation Army, and Peking University Cancer Hospital. A total of 3 016 patients were included according to inclusion and exclusion criteria, comprising 1 848 males and 1 168 females, with 1 675 patients aged≥60 years and 1 341 patients aged<60 years. Clinical and pathological factors from single center data were subjected to univariate analysis to determine influencing factors of No. 253 lymph node metastasis, using a binary Logistic regression model. Based on the results of the multivariate analysis, a nomogram was constructed. External validation was performed using data from other multicenter sources, evaluating the effectiveness through the area under the receiver operating characteristic curve and the calibration curve. Using data from a single center, the No. 253 lymph node-positive group was matched with the negative group in a 1∶2 ratio (caliper value=0.05). Survival analysis was performed using the Kaplan-Meier method and Log-rank test. The Cox proportional hazards model was used to determine independent prognostic factors. Results: (1) The tumor diameter≥5 cm (OR=4.496,95%CI:1.344 to 15.035, P=0.015) T stage (T4 vs. T1: OR=11.284, 95%CI:7.122 to 15.646, P<0.01), N stage (N2 vs. N0: OR=60.554, 95%CI:7.813 to 469.055, P=0.043), tumor differentiation (moderate vs. well differentiated: OR=1.044, 95%CI:1.009 to 1.203, P=0.044; poor vs. well differentiated: OR=1.013, 95%CI:1.002 to 1.081, P=0.013), tumor location (sigmoid colon vs. descending colon: OR=9.307, 95%CI:2.236 to 38.740, P=0.002), pathological type (mucinous adenocarcinoma vs. adenocarcinoma: OR=79.923, 95%CI:15.113 to 422.654, P<0.01; signet ring cell carcinoma vs. adenocarcinoma: OR=27.309, 95%CI:4.191 to 177.944, P<0.01), and positive vascular invasion (OR=3.490, 95%CI:1.033 to 11.793, P=0.044) were independent influencing factors of No. 253 lymph node metastasis. (2) The area under the curve of the nomogram prediction model was 0.912 (95%CI: 0.869 to 0.955) for the training set and 0.921 (95%CI: 0.903 to 0.937) for the external validation set. The calibration curve demonstrated good consistency between the predicted outcomes and the actual observations. (3) After propensity score matching, the No. 253 lymph node-negative group did not reach the median overall survival time, while the positive group had a median overall survival of 20 months. The 1-, 3- and 5-year overall survival rates were 83.9%, 61.3% and 51.6% in the negative group, and 63.2%, 36.8% and 15.8% in the positive group, respectively. Multivariate Cox analysis revealed that the T4 stage (HR=3.067, 95%CI: 2.357 to 3.990, P<0.01), the N2 stage (HR=1.221, 95%CI: 0.979 to 1.523, P=0.043), and No. 253 lymph node positivity (HR=2.902, 95%CI:1.987 to 4.237, P<0.01) were independent adverse prognostic factors. Conclusions: Tumor diameter ≥5 cm, T4 stage, N2 stage, tumor location in the sigmoid colon, adverse pathological type, poor differentiation, and vascular invasion are influencing factors of No. 253 lymph node metastasis. No. 253 lymph node positivity indicates a poorer prognosis. Therefore, strict dissection for No. 253 lymph node should be performed for colorectal cancer patients with these high-risk factors.
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Affiliation(s)
- F Q Zhao
- Department of Colorectal Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Zhou
- Department of Gastrointestinal Surgery, China-Japan Friendship Hospital, Beijing 100029, China
| | - X H Du
- Department of General Surgery, the First Medical Center, Chinese Peoples' Liberation Army General Hospital, Beijing 100853, China
| | - A W Wu
- Department of Gastrointestinal Cancer, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - H Yang
- Department of Gastrointestinal Surgery, China-Japan Friendship Hospital, Beijing 100029, China
| | - L Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - X Z Liu
- Department of Gastrointestinal Cancer, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - S D Hu
- Department of General Surgery, the First Medical Center, Chinese Peoples' Liberation Army General Hospital, Beijing 100853, China
| | - Y Xiao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Q Liu
- Department of Colorectal Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Xiao Y, Feng SQ, Luo T, Zan YS, Li L, Shen LQ. Plexiform Schwannoma of Brachial Plexus in Axilla: A Rare Case Report. J Musculoskelet Neuronal Interact 2023; 23:371-376. [PMID: 37654224 PMCID: PMC10483822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Accepted: 08/02/2023] [Indexed: 09/02/2023]
Abstract
The most common tumours in the brachial plexus are benign schwannomas, followed by neurofibromas and malignancies, originating from the peripheral nerve sheath. The clinical manifestations of brachial plexus tumours are variable according to their location, extension, neurological elements involved and pathology. Brachial plexus tumours are rare in the upper extremity, and axillary schwannoma is uncommon. This case reports a 59-year-old woman with a tumour in her left axilla for two years, gradually enlarging with numbness in her left little finger. Microsurgical interfascicular dissection operation was performed to remove the tumour. Νumbness disappeared after the procedure, and no tumour recurrence was observed during the 30-month follow-up. To the best of our knowledge, plexiform schwannoma of the brachial plexus in the axilla has not been reported so far. In this article, such a case is reported, where this tumour was diagnosed by the histopathological examination and confirmed with immunohistochemistry.
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Affiliation(s)
- Yun Xiao
- Trauma Center, The First People’s Hospital of Yunnan Province/The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Shu-qing Feng
- Ultrasound Center, The First People’s Hospital of Yunnan Province/The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Tao Luo
- Trauma Center, The First People’s Hospital of Yunnan Province/The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Yong-sheng Zan
- Trauma Center, The First People’s Hospital of Yunnan Province/The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Li Li
- Trauma Center, The First People’s Hospital of Yunnan Province/The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Li-qi Shen
- Trauma Center, The First People’s Hospital of Yunnan Province/The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
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Zhang HQ, Wang ST, Sun Z, Lin GL, Wu B, Niu BZ, Lu JY, Xu L, Xiao Y. [Analysis of influencing factors and clinical value of anterior peritoneal reflection for patients with rectal cancer]. Zhonghua Wai Ke Za Zhi 2023; 61:788-794. [PMID: 37491172 DOI: 10.3760/cma.j.cn112139-20230408-00149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Objectives: To investigate the factors influencing the height of anterior peritoneal reflection (APR) for patients with rectal cancer, and to analyze the relationship between the APR and the lateral lymph node metastasis. Methods: Clinical data of 432 patients with tumor located within and below APR were retrospectively collected from the rectal cancer database at the Department of General Surgery, Peking Union Medical College Hospital from August 2020 to September 2022. Ninty-eight non-rectal cancer patients were also enrolled as a control group. There were 308 males and 124 females in the tumor group, aged (M(IQR)) 62 (16) years (range: 24 to 85 years) and 53 males and 45 females in the control group, aged 60 (22) years (range: 27 to 87 years). The APR height, pelvis, and tumor-related parameters were measured by MRI. A multifactor linear regression model was established to analyze the dependent correlation factors of APR height. These factors of the two groups were matched by propensity score matching and their APR heights were compared after matching. An ordinal Logistic regression model was established to explore the relationship between APR-related parameters and radiographic lateral lymph node metastasis. Results: The APR height of the tumor group was (98.7±14.4) mm (range: 43.3 to 154.0 mm) and the control group was (95.1±12.7) mm (range: 68.0 to 137.9 mm). Multivariable linear regression revealed that the greater the weight (B=0.519, 95%CI: 0.399 to 0.640, P<0.01), the anterior pelvic depth (B=0.109, 95%CI: 0.005 to 0.213, P=0.039) and the smaller the bi-ischial diameter (B=-0.172, 95%CI:-0.294 to -0.049, P=0.006), the higher the APR height. The tumor group had a higher APR height than the control group after propensity score matching ((98.3±14.2) mm vs. (95.1±12.7) mm, t=-1.992, P=0.047). Ordinal Logistic regression indicated that the longer segment of the tumor invade the nonperitoneal rectum was an independent influencing factor of radiographic lateral lymph node metastasis (OR=1.016, 95%CI: 1.002 to 1.030, P=0.021), while the distance between the anal verge and the tumor was not (OR=0.986, 95%CI: 0.972 to 1.000, P=0.058). Conclusions: The higher the weight, the deeper and narrower the pelvis, the higher the APR height. There is a certain relationship between APR and lateral lymph node metastasis on imaging.
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Affiliation(s)
- H Q Zhang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - S T Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Z Sun
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - G L Lin
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - B Wu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - B Z Niu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J Y Lu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - L Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Y Xiao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
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