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Kim CG, Hong MH, Kim D, Lee BH, Kim H, Ock CY, Kelly G, Bang YJ, Kim G, Lee JE, Kim C, Kim SH, Hong HJ, Park YM, Sim NS, Park H, Park JW, Lee CG, Kim KH, Park G, Jung I, Han D, Kim JH, Cha J, Lee I, Kang M, Song H, Oum C, Kim S, Kim S, Lim Y, Kim-Schulze S, Merad M, Yoon SO, Kim HJ, Koh YW, Kim HR. A Phase II Open-Label Randomized Clinical Trial of Preoperative Durvalumab or Durvalumab plus Tremelimumab in Resectable Head and Neck Squamous Cell Carcinoma. Clin Cancer Res 2024; 30:2097-2110. [PMID: 38457288 DOI: 10.1158/1078-0432.ccr-23-3249] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/06/2024] [Accepted: 03/06/2024] [Indexed: 03/10/2024]
Abstract
PURPOSE Clinical implications of neoadjuvant immunotherapy in patients with locally advanced but resectable head and neck squamous cell carcinoma (HNSCC) remain largely unexplored. PATIENTS AND METHODS Patients with resectable HNSCC were randomized to receive a single dose of preoperative durvalumab (D) with or without tremelimumab (T) before resection, followed by postoperative (chemo)radiotherapy based on multidisciplinary discretion and 1-year D treatment. Artificial intelligence (AI)-powered spatial distribution analysis of tumor-infiltrating lymphocytes and high-dimensional profiling of circulating immune cells tracked dynamic intratumoral and systemic immune responses. RESULTS Of the 48 patients enrolled (D, 24 patients; D+T, 24 patients), 45 underwent surgical resection per protocol (D, 21 patients; D+T, 24 patients). D±T had a favorable safety profile and did not delay surgery. Distant recurrence-free survival (DRFS) was significantly better in patients treated with D+T than in those treated with D monotherapy. AI-powered whole-slide image analysis demonstrated that D+T significantly reshaped the tumor microenvironment toward immune-inflamed phenotypes, in contrast with the D monotherapy or cytotoxic chemotherapy. High-dimensional profiling of circulating immune cells revealed a significant expansion of T-cell subsets characterized by proliferation and activation in response to D+T therapy, which was rare following D monotherapy. Importantly, expansion of specific clusters in CD8+ T cells and non-regulatory CD4+ T cells with activation and exhaustion programs was associated with prolonged DRFS in patients treated with D+T. CONCLUSIONS Preoperative D±T is feasible and may benefit patients with resectable HNSCC. Distinct changes in the tumor microenvironment and circulating immune cells were induced by each treatment regimen, warranting further investigation.
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Affiliation(s)
- Chang Gon Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Min Hee Hong
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dahee Kim
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Brian Hyohyoung Lee
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Biomedical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyunwook Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | | | - Geoffrey Kelly
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Yoon Ji Bang
- Department of Biomedical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Gamin Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jung Eun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chaeyeon Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Se-Heon Kim
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun Jun Hong
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Min Park
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Nam Suk Sim
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Heejung Park
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Woo Park
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chang Geol Lee
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyung Hwan Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Goeun Park
- Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Inkyung Jung
- Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dawoon Han
- Department of Dermatology and Cutaneous Biology Research Institute, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jong Hoon Kim
- Department of Dermatology and Cutaneous Biology Research Institute, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Junha Cha
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Insuk Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
| | | | - Heon Song
- Lunit Inc., Seoul, Republic of Korea
| | | | | | | | | | - Seunghee Kim-Schulze
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Miriam Merad
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, New York
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Sun Och Yoon
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun Je Kim
- Department of Biomedical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
- Genome Medicine Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
- Seoul National University Hospital, Seoul, Republic of Korea
| | - Yoon Woo Koh
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hye Ryun Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
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Jung M, Song SG, Cho SI, Shin S, Lee T, Jung W, Lee H, Park J, Song S, Park G, Song H, Park S, Lee J, Kang M, Park J, Pereira S, Yoo D, Chung K, Ali SM, Kim SW. Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases. Breast Cancer Res 2024; 26:31. [PMID: 38395930 PMCID: PMC10885430 DOI: 10.1186/s13058-024-01784-y] [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: 12/06/2023] [Accepted: 02/11/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Accurate classification of breast cancer molecular subtypes is crucial in determining treatment strategies and predicting clinical outcomes. This classification largely depends on the assessment of human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), and progesterone receptor (PR) status. However, variability in interpretation among pathologists pose challenges to the accuracy of this classification. This study evaluates the role of artificial intelligence (AI) in enhancing the consistency of these evaluations. METHODS AI-powered HER2 and ER/PR analyzers, consisting of cell and tissue models, were developed using 1,259 HER2, 744 ER, and 466 PR-stained immunohistochemistry (IHC) whole-slide images of breast cancer. External validation cohort comprising HER2, ER, and PR IHCs of 201 breast cancer cases were analyzed with these AI-powered analyzers. Three board-certified pathologists independently assessed these cases without AI annotation. Then, cases with differing interpretations between pathologists and the AI analyzer were revisited with AI assistance, focusing on evaluating the influence of AI assistance on the concordance among pathologists during the revised evaluation compared to the initial assessment. RESULTS Reevaluation was required in 61 (30.3%), 42 (20.9%), and 80 (39.8%) of HER2, in 15 (7.5%), 17 (8.5%), and 11 (5.5%) of ER, and in 26 (12.9%), 24 (11.9%), and 28 (13.9%) of PR evaluations by the pathologists, respectively. Compared to initial interpretations, the assistance of AI led to a notable increase in the agreement among three pathologists on the status of HER2 (from 49.3 to 74.1%, p < 0.001), ER (from 93.0 to 96.5%, p = 0.096), and PR (from 84.6 to 91.5%, p = 0.006). This improvement was especially evident in cases of HER2 2+ and 1+, where the concordance significantly increased from 46.2 to 68.4% and from 26.5 to 70.7%, respectively. Consequently, a refinement in the classification of breast cancer molecular subtypes (from 58.2 to 78.6%, p < 0.001) was achieved with AI assistance. CONCLUSIONS This study underscores the significant role of AI analyzers in improving pathologists' concordance in the classification of breast cancer molecular subtypes.
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Affiliation(s)
- Minsun Jung
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung Geun Song
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - So-Woon Kim
- Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
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Shen J, Choi YL, Lee T, Kim H, Chae YK, Dulken BW, Bogdan S, Huang M, Fisher GA, Park S, Lee SH, Hwang JE, Chung JH, Kim L, Song H, Pereira S, Shin S, Lim Y, Ahn CH, Kim S, Oum C, Kim S, Park G, Song S, Jung W, Kim S, Bang YJ, Mok TSK, Ali SM, Ock CY. Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types. J Immunother Cancer 2024; 12:e008339. [PMID: 38355279 PMCID: PMC10868175 DOI: 10.1136/jitc-2023-008339] [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] [Accepted: 01/27/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND The inflamed immune phenotype (IIP), defined by enrichment of tumor-infiltrating lymphocytes (TILs) within intratumoral areas, is a promising tumor-agnostic biomarker of response to immune checkpoint inhibitor (ICI) therapy. However, it is challenging to define the IIP in an objective and reproducible manner during manual histopathologic examination. Here, we investigate artificial intelligence (AI)-based immune phenotypes capable of predicting ICI clinical outcomes in multiple solid tumor types. METHODS Lunit SCOPE IO is a deep learning model which determines the immune phenotype of the tumor microenvironment based on TIL analysis. We evaluated the correlation between the IIP and ICI treatment outcomes in terms of objective response rates (ORR), progression-free survival (PFS), and overall survival (OS) in a cohort of 1,806 ICI-treated patients representing over 27 solid tumor types retrospectively collected from multiple institutions. RESULTS We observed an overall IIP prevalence of 35.2% and significantly more favorable ORRs (26.3% vs 15.8%), PFS (median 5.3 vs 3.1 months, HR 0.68, 95% CI 0.61 to 0.76), and OS (median 25.3 vs 13.6 months, HR 0.66, 95% CI 0.57 to 0.75) after ICI therapy in IIP compared with non-IIP patients, respectively (p<0.001 for all comparisons). On subgroup analysis, the IIP was generally prognostic of favorable PFS across major patient subgroups, with the exception of the microsatellite unstable/mismatch repair deficient subgroup. CONCLUSION The AI-based IIP may represent a practical, affordable, clinically actionable, and tumor-agnostic biomarker prognostic of ICI therapy response across diverse tumor types.
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Affiliation(s)
- Jeanne Shen
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
- Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, California, USA
| | - Yoon-La Choi
- Department of Pathology and Translational Genomics, Sungkyunkwan University School of Medicine, Suwon, Korea (the Republic of)
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea (the Republic of)
| | - Taebum Lee
- Department of Pathology, Chonnam National University Medical School, Gwangju, Korea (the Republic of)
| | - Hyojin Kim
- Department of Pathology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
| | - Young Kwang Chae
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ben W Dulken
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
| | - Stephanie Bogdan
- Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, California, USA
| | - Maggie Huang
- UCLA Health, University of California, Los Angeles, Los Angeles, California, USA
| | - George A Fisher
- Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Sehhoon Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (the Republic of)
| | - Se-Hoon Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (the Republic of)
| | - Jun-Eul Hwang
- Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea (the Republic of)
| | - Jin-Haeng Chung
- Department of Pathology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
| | - Leeseul Kim
- AMITA Health Saint Francis Hospital Evanston, Evanston, Illinois, USA
| | - Heon Song
- Lunit, Seoul, Korea (the Republic of)
| | | | | | | | | | | | | | | | | | | | | | - Seokhwi Kim
- Department of Pathology, Ajou University School of Medicine, Suwon, Korea (the Republic of)
| | - Yung-Jue Bang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Tony S K Mok
- Department of Clinical Oncology, The Chinese University of Hong Kong, New Territories, Hong Kong
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Kim DH, Lim Y, Ock CY, Park G, Park S, Song H, Ma M, Mostafavi M, Kang EJ, Ahn MJ, Lee KW, Kwon JH, Yang Y, Choi YH, Kim MK, Ji JH, Yun T, Kim SB, Keam B. Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes as a predictive biomarker for axitinib in adenoid cystic carcinoma. Head Neck 2023; 45:3086-3095. [PMID: 37828867 DOI: 10.1002/hed.27537] [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: 01/30/2023] [Revised: 09/20/2023] [Accepted: 09/22/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND This study analyzed the predictive value of artificial intelligence (AI)-powered tumor-infiltrating lymphocyte (TIL) analysis in recurrent or metastatic (R/M) adenoid cystic carcinoma (ACC) treated with axitinib. METHODS Patients from a multicenter, prospective phase II trial evaluating axitinib efficacy in R/M ACC were included in this study. H&E whole-side images of archival tumor tissues were analyzed by Lunit SCOPE IO, an AI-powered spatial TIL analyzer. RESULTS Twenty-seven patients were included in the analysis. The best response was stable disease, and the median progression-free survival (PFS) was 11.1 months (95% CI, 9.2-13.7 months). Median TIL densities in the cancer and surrounding stroma were 25.8/mm2 (IQR, 8.3-73.0) and 180.4/mm2 (IQR, 69.6-342.8), respectively. Patients with stromal TIL density >342.5/mm2 exhibited longer PFS (p = 0.012). CONCLUSIONS Cancer and stromal area TIL infiltration were generally low in R/M ACC. Higher stromal TIL infiltration was associated with a longer PFS with axitinib treatment.
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Affiliation(s)
- Dong Hyun Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | | | | | | | | | | | | | | | - Eun Joo Kang
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Myung-Ju Ahn
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Keun-Wook Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jung Hye Kwon
- Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, South Korea
| | - Yaewon Yang
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, South Korea
| | - Yoon Hee Choi
- Department of Internal Medicine, Dongnam Institute of Radiological and Medical Sciences, Busan, South Korea
| | - Min Kyoung Kim
- Division of Hematology-Oncology, Department of Internal Medicine, Yeungnam University Hospital, Yeungnam University College of Medicine, Daegu, South Korea
| | - Jun Ho Ji
- Department of Internal Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Tak Yun
- Rare Cancers Clinic, Center for Specific Organs Cancer, National Cancer Center, Goyang, South Korea
| | - Sung-Bae Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Bhumsuk Keam
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea
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Lim Y, Choi S, Oh HJ, Kim C, Song S, Kim S, Song H, Park S, Kim JW, Kim JW, Kim JH, Kang M, Kang SB, Kim DW, Oh HK, Lee HS, Lee KW. Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes for prediction of prognosis in resected colon cancer. NPJ Precis Oncol 2023; 7:124. [PMID: 37985785 PMCID: PMC10662481 DOI: 10.1038/s41698-023-00470-0] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 10/24/2023] [Indexed: 11/22/2023] Open
Abstract
Tumor-infiltrating lymphocytes (TIL) have been suggested as an important prognostic marker in colorectal cancer, but assessment usually requires additional tissue processing and interpretational efforts. The aim of this study is to assess the clinical significance of artificial intelligence (AI)-powered spatial TIL analysis using only a hematoxylin and eosin (H&E)-stained whole-slide image (WSI) for the prediction of prognosis in stage II-III colon cancer treated with surgery and adjuvant therapy. In this retrospective study, we used Lunit SCOPE IO, an AI-powered H&E WSI analyzer, to assess intratumoral TIL (iTIL) and tumor-related stromal TIL (sTIL) densities from WSIs of 289 patients. The patients with confirmed recurrences had significantly lower sTIL densities (mean sTIL density 630.2/mm2 in cases with confirmed recurrence vs. 1021.3/mm2 in no recurrence, p < 0.001). Additionally, significantly higher recurrence rates were observed in patients having sTIL or iTIL in the lower quartile groups. Risk groups defined as high-risk (both iTIL and sTIL in the lowest quartile groups), low-risk (sTIL higher than the median), or intermediate-risk (not high- or low-risk) were predictive of recurrence and were independently associated with clinical outcomes after adjusting for other clinical factors. AI-powered TIL analysis can provide prognostic information in stage II/III colon cancer in a practical manner.
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Affiliation(s)
| | - Songji Choi
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Hyeon Jeong Oh
- Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
| | - Chanyoung Kim
- Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | | | | | | | | | - Ji-Won Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Jin Won Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Jee Hyun Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Minsu Kang
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Sung-Bum Kang
- Department of Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Duck-Woo Kim
- Department of Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Heung-Kwon Oh
- Department of Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Hye Seung Lee
- Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Keun-Wook Lee
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
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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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Seo A, Song H, Anakwenze CP, Ausat N, Chiao EY, Lin LL. Radiation Oncology Practice Changes during the COVID-19 Pandemic. Int J Radiat Oncol Biol Phys 2023; 117:e487. [PMID: 37785538 DOI: 10.1016/j.ijrobp.2023.06.1716] [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 purpose of this study was to characterize the effects of institutional policies routine SARS-CoV-2 testing before treatment starts with mandatory quarantine periods for COVID-positive patients during the first year of the COVID19 pandemic across radiation oncology sections at our tertiary cancer center. MATERIALS/METHODS Electronic medical databases were queried to identify all patients treated with curative intent at a large urban cancer center and regional satellites a year prior to the pandemic (02/11/19-12/30/19; pre-pandemic) and the first year of the pandemic (03/11/20-12/30/20; post-pandemic). New treatment starts were filtered for those undergoing treatment under a single ICD-10 diagnosis and the first treatment in each time period for each patient. Chi-square tests were used for categorical variables, and the t-test was used for continuous variables to correlate differences in demographic and clinical factors before and during the pandemic. RESULTS The total number of new treatment starts were similar between the pre-pandemic (2,218 patients) and post-pandemic (2,130 patients) periods, but there was a 26% decrease in treatments in April 2020 compared to April 2019 and a 40% increase in treatments in November 2020 compared to November 2019. Post-pandemic patients had higher minimum Charlson Comorbidity Index scores (mean 46.0 vs 42.6, P = 0.0013) and were younger (62.8 yo vs 64.3 yo, P = 0.0001). The proportion of patients being treated from the same state as our institution was higher in the post-pandemic period compared to pre-pandemic (77.8% vs 72.43%, P = 0.0259). Distribution of treatments across department disease-site sections were significantly different (P<0.0001), with the proportion of patients treated by the Breast service having increased by 22% whereas the metropolitan area regional satellites experienced a 18% reduction. There were no statistically significant differences amongst pre- and post-pandemic patients with respect to race, marital status, or smoking status. Post-pandemic patients had less total radiation-related clinical visits (mean 24.8 vs 28.6, P<0.0001), lower administered dose (4329 cGy vs 4533 cGy, P<0.0001), and lower radiation fraction count (17 vs 19, P<0.0001). There was no statistically significant difference in the duration between CT simulation and treatment start, but post-pandemic patients had shorter duration of elapsed days during treatment (27 days vs 29 days, P = 0.0001). A disease-site-specific analysis demonstrated that these differences were most pronounced in patients treated for breast cancer. CONCLUSION In the first year of the COVID19 pandemic, our institution saw a dynamic change in the number of new radiation treatments. Additional analyses across individual disease-specific services may reveal insight into dose, fractionation, and technique, which may account for the observed differences.
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Affiliation(s)
- A Seo
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - H Song
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - C P Anakwenze
- Division of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - N Ausat
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - E Y Chiao
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - L L Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Kim M, Lee JL, Shin SJ, Bae WK, Lee HJ, Byun JH, Choi YJ, Youk J, Ock CY, Kim S, Song H, Park KH, Keam B. Phase II study of a trastuzumab biosimilar in combination with paclitaxel for HER2-positive recurrent or metastatic urothelial carcinoma: KCSG GU18-18. ESMO Open 2023; 8:101588. [PMID: 37385153 PMCID: PMC10485395 DOI: 10.1016/j.esmoop.2023.101588] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 04/09/2023] [Revised: 05/11/2023] [Accepted: 05/21/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Human epidermal growth factor receptor 2 (HER2) is a widely explored therapeutic target in solid tumors. We evaluated the efficacy and safety of trastuzumab-pkrb, a biosimilar of trastuzumab, in combination with paclitaxel, in HER2-positive recurrent or metastatic urothelial carcinoma (UC). PATIENTS AND METHODS We enrolled 27 patients; they were administered a loading dose of 8 mg/kg trastuzumab-pkrb on day 1, followed by 6 mg/kg and 175 mg/m2 paclitaxel on day 1 every 3 weeks, intravenously. All patients received six cycles of the combination treatment and continued to receive trastuzumab-pkrb maintenance until disease progression, unacceptable toxicity, or for up to 2 years. HER2 positivity (based on immunohistochemistry analysis) was determined according to the 2013 American Society of Clinical Oncology /College of American Pathologists HER2 testing guidelines. The primary endpoint was objective response rate (ORR); the secondary endpoints were overall survival (OS), progression-free survival (PFS), and safety. RESULTS Twenty-six patients were evaluated via primary endpoint analysis. The ORR was 48.1% (1 complete and 12 partial responses) and the duration of response was 6.9 months [95% confidence interval (CI) 4.4-9.3 months]. With a median follow-up of 10.5 months, the median PFS and OS were 8.4 months (95% CI 6.2-8.8 months) and 13.5 months (95% CI 9.8 months-not reached), respectively. The most common treatment-related adverse event (TRAE) of any grade was peripheral neuropathy (88.9%). The most common grade 3/4 TRAEs were neutropenia (25.9%), thrombocytopenia (7.4%), and anemia (7.4%). CONCLUSIONS Trastuzumab-pkrb plus paclitaxel demonstrates promising efficacy with manageable toxicity profiles in patients with HER2-positive recurrent or metastatic UC.
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Affiliation(s)
- M Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul; Cancer Research Institute, Seoul National University College of Medicine, Seoul
| | - J L Lee
- Department of Oncology and Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - S J Shin
- Division of Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul
| | - W K Bae
- Department of Hemato-Oncology, Chonnam National University Medical School & Hwasun Hospital, Hwasun
| | - H J Lee
- Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon
| | - J H Byun
- Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon
| | - Y J Choi
- Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul
| | - J Youk
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul; Cancer Research Institute, Seoul National University College of Medicine, Seoul
| | - C Y Ock
- Lunit, Seoul, Republic of Korea
| | - S Kim
- Lunit, Seoul, Republic of Korea
| | - H Song
- Lunit, Seoul, Republic of Korea
| | - K H Park
- Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul
| | - B Keam
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul; Cancer Research Institute, Seoul National University College of Medicine, Seoul.
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9
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Zhang GZ, Zheng GQ, Wei F, Liu YY, Song H, Liang YF. [Pathological classification of malignant peritoneal mesothelioma and comparative analysis with peritoneal carcinomatosis]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:541-546. [PMID: 37524680 DOI: 10.3760/cma.j.cn121094-20211203-00597] [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] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Objective: To analyze the pathological classification of malignant peritoneal mesothelioma (MPeM) and screen the immunohistochemical markers that can distinguish MPeM from peritoneal metastatic carcinoma (PC) . Methods: In June 2020, the pathological results of peritoneal biopsy of 158 MPeM and 138 PC patients from Cangzhou Central Hospital, Cangzhou People's Hospital, and Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine from May 2011 to July 2019 were retrospectively analyzed, and the pathological classifications of MPeM in Cangzhou were summarized. Immunohistochemical markers of MPeM and PC patients were analyzed, and receiver operating characteristic curve (ROC curve) was drawn for differential diagnosis of MPeM and PC. Results: There were 55 male and 103 female MPeM patients in Cangzhou, with an average age of 57.1 years old. The asbestos exposure rate was 91.14% (144/158). The most common pathological classifications were cutaneous type, accounting for 90.51% (143/158). There were significant differences in the expression of calreticulum protein, CK5/6, vimentin, D2-40, carcinoembryonic antigen (CEA) and tail type homologous nuclear gene transcription factor 2 (CDX-2) between MPeM and PC (P<0.05). Among the 6 positive markers, the sensitivity of calreticulum protein was the highest (0.905) and CEA was the lowest (0.428) . Conclusion: Calreticulum protein, CK5/6, vimentin, D2-40, CEA and CDX-2 may be used as specific markers to distinguish the diagnosis of MPeM from PC.
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Affiliation(s)
- G Z Zhang
- Digestive Department, Cangzhou Central Hospital, Cangzhou 061001, China
| | - G Q Zheng
- Digestive Department, Cangzhou Central Hospital, Cangzhou 061001, China
| | - F Wei
- Digestive Department, Cangzhou Central Hospital, Cangzhou 061001, China
| | - Y Y Liu
- Digestive Department, Cangzhou Central Hospital, Cangzhou 061001, China
| | - H Song
- Digestive Department, Cangzhou Central Hospital, Cangzhou 061001, China
| | - Y F Liang
- Digestive Department, Cangzhou Central Hospital, Cangzhou 061001, China
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Coverdale JPC, Kostrhunova H, Markova L, Song H, Postings M, Bridgewater HE, Brabec V, Rogers NJ, Scott P. Triplex metallohelices have enantiomer-dependent mechanisms of action in colon cancer cells. Dalton Trans 2023; 52:6656-6667. [PMID: 37114730 DOI: 10.1039/d3dt00948c] [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: 04/29/2023]
Abstract
Self-assembled enantiomers of an asymmetric di-iron metallohelix differ in their antiproliferative activities against HCT116 colon cancer cells such that the compound with Λ-helicity at the metals becomes more potent than the Δ compound with increasing exposure time. From concentration- and temperature-dependent 57Fe isotopic labelling studies of cellular accumulation we postulate that while the more potent Λ enantiomer undergoes carrier-mediated efflux, for Δ the process is principally equilibrative. Cell fractionation studies demonstrate that both enantiomers localise in a similar fashion; compound is observed mostly within the cytoskeleton and/or genomic DNA, with significant amounts also found in the nucleus and membrane, but with negligible concentration in the cytosol. Cell cycle analyses using flow cytometry reveal that the Δ enantiomer induces mild arrest in the G1 phase, while Λ causes a very large dose-dependent increase in the G2/M population at a concentration significantly below the relevant IC50. Correspondingly, G2-M checkpoint failure as a result of Λ-metallohelix binding to DNA is shown to be feasible by linear dichroism studies, which indicate, in contrast to the Δ compound, a quite specific mode of binding, probably in the major groove. Further, spindle assembly checkpoint (SAC) failure, which could also be responsible for the observed G2/M arrest, is established as a feasible mechanism for the Λ helix via drug combination (synergy) studies and the discovery of tubulin and actin inhibition. Here, while the Λ compound stabilizes F-actin and induces a distinct change in tubulin architecture of HCT116 cells, Δ promotes depolymerization and more subtle changes in microtubule and actin networks.
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Affiliation(s)
- J P C Coverdale
- Department of Chemistry, University of Warwick, Coventry, CV4 7AL, UK
- School of Pharmacy, Institute of Clinical Sciences, University of Birmingham, Edgbaston, B15 2TT, UK
| | - H Kostrhunova
- The Czech Academy of Sciences, Institute of Biophysics, Kralovopolska 135, CZ-61265 Brno, Czech Republic
| | - L Markova
- The Czech Academy of Sciences, Institute of Biophysics, Kralovopolska 135, CZ-61265 Brno, Czech Republic
| | - H Song
- Department of Chemistry, University of Warwick, Coventry, CV4 7AL, UK
- Beijing Area Major Laboratory of Peptide and Small Molecular Drugs, School of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, China
| | - M Postings
- Department of Chemistry, University of Warwick, Coventry, CV4 7AL, UK
| | - H E Bridgewater
- Department of Chemistry, University of Warwick, Coventry, CV4 7AL, UK
- Centre of Exercise, Sport and Life Science, Faculty of Health and Life Sciences, Coventry University, Coventry, CV1 5FB, UK
| | - V Brabec
- The Czech Academy of Sciences, Institute of Biophysics, Kralovopolska 135, CZ-61265 Brno, Czech Republic
| | - N J Rogers
- Department of Chemistry, University of Warwick, Coventry, CV4 7AL, UK
| | - P Scott
- Department of Chemistry, University of Warwick, Coventry, CV4 7AL, UK
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11
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Abe S, Asami S, Eizuka M, Futagi S, Gando A, Gando Y, Gima T, Goto A, Hachiya T, Hata K, Hayashida S, Hosokawa K, Ichimura K, Ieki S, Ikeda H, Inoue K, Ishidoshiro K, Kamei Y, Kawada N, Kishimoto Y, Koga M, Kurasawa M, Maemura N, Mitsui T, Miyake H, Nakahata T, Nakamura K, Nakamura K, Nakamura R, Ozaki H, Sakai T, Sambonsugi H, Shimizu I, Shirai J, Shiraishi K, Suzuki A, Suzuki Y, Takeuchi A, Tamae K, Ueshima K, Watanabe H, Yoshida Y, Obara S, Ichikawa AK, Chernyak D, Kozlov A, Nakamura KZ, Yoshida S, Takemoto Y, Umehara S, Fushimi K, Kotera K, Urano Y, Berger BE, Fujikawa BK, Learned JG, Maricic J, Axani SN, Smolsky J, Fu Z, Winslow LA, Efremenko Y, Karwowski HJ, Markoff DM, Tornow W, Dell'Oro S, O'Donnell T, Detwiler JA, Enomoto S, Decowski MP, Grant C, Li A, Song H. Search for the Majorana Nature of Neutrinos in the Inverted Mass Ordering Region with KamLAND-Zen. Phys Rev Lett 2023; 130:051801. [PMID: 36800472 DOI: 10.1103/physrevlett.130.051801] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/10/2022] [Accepted: 11/29/2022] [Indexed: 06/18/2023]
Abstract
The KamLAND-Zen experiment has provided stringent constraints on the neutrinoless double-beta (0νββ) decay half-life in ^{136}Xe using a xenon-loaded liquid scintillator. We report an improved search using an upgraded detector with almost double the amount of xenon and an ultralow radioactivity container, corresponding to an exposure of 970 kg yr of ^{136}Xe. These new data provide valuable insight into backgrounds, especially from cosmic muon spallation of xenon, and have required the use of novel background rejection techniques. We obtain a lower limit for the 0νββ decay half-life of T_{1/2}^{0ν}>2.3×10^{26} yr at 90% C.L., corresponding to upper limits on the effective Majorana neutrino mass of 36-156 meV using commonly adopted nuclear matrix element calculations.
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Affiliation(s)
- S Abe
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - S Asami
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - M Eizuka
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - S Futagi
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - A Gando
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - Y Gando
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - T Gima
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - A Goto
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - T Hachiya
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - K Hata
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - S Hayashida
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - K Hosokawa
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - K Ichimura
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - S Ieki
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - H Ikeda
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - K Inoue
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Ishidoshiro
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - Y Kamei
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - N Kawada
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - Y Kishimoto
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M Koga
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M Kurasawa
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - N Maemura
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - T Mitsui
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - H Miyake
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - T Nakahata
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - K Nakamura
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - K Nakamura
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - R Nakamura
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - H Ozaki
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
- Graduate Program on Physics for the Universe, Tohoku University, Sendai 980-8578, Japan
| | - T Sakai
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - H Sambonsugi
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - I Shimizu
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - J Shirai
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - K Shiraishi
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - A Suzuki
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - Y Suzuki
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - A Takeuchi
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - K Tamae
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - K Ueshima
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - H Watanabe
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - Y Yoshida
- Research Center for Neutrino Science, Tohoku University, Sendai 980-8578, Japan
| | - S Obara
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai 980-8578, Japan
| | - A K Ichikawa
- Department of Physics, Tohoku University, Sendai 980-8578, Japan
| | - D Chernyak
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - A Kozlov
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Z Nakamura
- Kyoto University, Department of Physics, Kyoto 606-8502, Japan
| | - S Yoshida
- Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan
| | - Y Takemoto
- Research Center for Nuclear Physics, Osaka University, Ibaraki, Osaka 567-0047, Japan
| | - S Umehara
- Research Center for Nuclear Physics, Osaka University, Ibaraki, Osaka 567-0047, Japan
| | - K Fushimi
- Department of Physics, Tokushima University, Tokushima 770-8506, Japan
| | - K Kotera
- Graduate School of Integrated Arts and Sciences, Tokushima University, Tokushima 770-8502, Japan
| | - Y Urano
- Graduate School of Integrated Arts and Sciences, Tokushima University, Tokushima 770-8502, Japan
| | - B E Berger
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B K Fujikawa
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J G Learned
- Department of Physics and Astronomy, University of Hawaii at Manoa, Honolulu, Hawaii 96822, USA
| | - J Maricic
- Department of Physics and Astronomy, University of Hawaii at Manoa, Honolulu, Hawaii 96822, USA
| | - S N Axani
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J Smolsky
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Z Fu
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - L A Winslow
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Efremenko
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA
| | - H J Karwowski
- Triangle Universities Nuclear Laboratory, Durham, North Carolina 27708, USA; Physics Departments at Duke University, Durham, North Carolina 27708, USA; North Carolina Central University, Durham, North Carolina 27707, USA; and The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - D M Markoff
- Triangle Universities Nuclear Laboratory, Durham, North Carolina 27708, USA; Physics Departments at Duke University, Durham, North Carolina 27708, USA; North Carolina Central University, Durham, North Carolina 27707, USA; and The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - W Tornow
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
- Triangle Universities Nuclear Laboratory, Durham, North Carolina 27708, USA; Physics Departments at Duke University, Durham, North Carolina 27708, USA; North Carolina Central University, Durham, North Carolina 27707, USA; and The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - S Dell'Oro
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - T O'Donnell
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - J A Detwiler
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98195, USA
| | - S Enomoto
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98195, USA
| | - M P Decowski
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan
- Nikhef and the University of Amsterdam, Science Park, Amsterdam, Netherlands
| | - C Grant
- Boston University, Boston, Massachusetts 02215, USA
| | - A Li
- Triangle Universities Nuclear Laboratory, Durham, North Carolina 27708, USA; Physics Departments at Duke University, Durham, North Carolina 27708, USA; North Carolina Central University, Durham, North Carolina 27707, USA; and The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
- Boston University, Boston, Massachusetts 02215, USA
| | - H Song
- Boston University, Boston, Massachusetts 02215, USA
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Lim Y, Choi S, Oh HJ, Song S, Kim S, Song H, Park S, Kim JW, Kim JW, Kim JH, Kang M, Kang SB, Kim DW, Oh HK, Lee HS, Lee KW. Artificial intelligence (AI) -powered spatial analysis of tumor-infiltrating lymphocytes (TIL) for prediction of prognosis in stage II-III resectable colon cancer. J Clin Oncol 2023. [DOI: 10.1200/jco.2023.41.4_suppl.211] [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: 01/25/2023] Open
Abstract
211 Background: T-cell infiltration in tumors and the surrounding stroma has been suggested as an important prognostic marker in colorectal cancer, but assessment usually requires additional tissue processing and interpretational efforts. The aim of this study is to assess the clinical significance of AI-powered spatial TIL analysis using only a hematoxylin and eosin (H&E)-stained whole-slide image (WSI) for the prediction of prognosis in stage II-III colon cancer patients treated with surgery and adjuvant chemotherapy. Methods: H&E-stained WSI of primary tumors and clinical data were collected retrospectively from stage II or III colon cancer patients treated with curative surgery and adjuvant chemotherapy at Seoul National University Bundang Hospital (Seongnam, Korea) between 2009 and 2012. For spatial TIL analysis, we used Lunit SCOPE IO, an AI-powered H&E WSI analyzer, which identifies and quantifies TIL within cancer or stroma area from a representative H&E-stained WSI. Intratumoral (iTIL) and stromal TIL (sTIL) densities were defined as the number of TILs in the intratumoral area (/mm2) and the surrounding stroma (/mm2), respectively. Results: A total of 289 patients were included in this analysis. During the follow-up period (median 99.6 months, 95% confidence interval [CI] 95.8 - 103.5), 28 (9.7%) recurrences were observed. The median iTIL and sTIL densities in all patients were 44.4 (/mm2, interquartile range [IQR] 28.4 – 71.7) and 878.0 (/mm2, IQR 554.9 – 1209.6), and showed a modest positive correlation (Pearson’s r = 0.349, p < 0.001). Patients having tumors with high microsatellite instability (MSI-H) status were more likely to have higher iTIL densities (mean iTIL 161.5/mm2 in MSI-H vs. 58.9/mm2 in MSI-L/MSS, p = 0.024), and patients with stage II disease (vs. stage III, iTIL and sTIL, p = 0.046 and 0.049, respectively) or without perineural invasion (vs. invasion (+), iTIL, p = 0.001) were also more likely to have higher mean iTIL and/or sTIL densities. Analyzing the iTIL, sTIL densities in association to clinical outcomes, the patients with confirmed recurrences had significantly lower mean sTIL density compared to those without recurrences (630.2/mm2 in recurrence (+) vs. 1021.3/mm2 in recurrence (-), p < 0.001). Comparing the risk of recurrence using the quartile cutoffs, the patients having either sTIL or iTIL densities in the lowest quartile were more likely to recur (unadjusted hazard ratio[HR]s of lowest quartile vs. others in sTIL, 2.77 [95% CI 1.32 - 5.82], p = 0.009; iTIL, 2.68 [95% CI 1.28 – 5.64], p = 0.009). Patients having both sTIL and iTIL in the lowest quartile (N=31) had the highest risk of recurrence, exhibiting a recurrence rate at 3 years of 26.1% (HR 4.30, 95% CI 1.94-9.51, p <0.001). Conclusions: AI-powered TIL analysis can provide prognostic information for stage II-III colon cancer in a practical manner.
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Affiliation(s)
| | - Songji Choi
- Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Hyeon Jeong Oh
- Seoul National University Bundang Hospital, Seongnam, South Korea
| | | | | | | | | | - Ji-Won Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Jin Won Kim
- Seoul National University Bundang Hospital, Seongnam, Gyeonggi-Do, South Korea
| | - Jee Hyun Kim
- Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Minsu Kang
- Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Sung-Bum Kang
- Seoul national unversity bundang hospital, Gyeonggi-Do, South Korea
| | - Duck-Woo Kim
- Seoul national unversity bundang hospital, Gyeonggi-Do, South Korea
| | - Heung-Kwon Oh
- Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Hye Seung Lee
- Department of Pathology, Seoul National University Hospital, Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Keun-Wook Lee
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea, Republic of (South)
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Nedbailo R, Park J, Hollinger R, Wang S, Mariscal D, Morrison J, Song H, Zeraouli G, Scott GG, Ma T, Rocca JJ. Compact high repetition rate Thomson parabola ion spectrometer. Rev Sci Instrum 2023; 94:023505. [PMID: 36859067 DOI: 10.1063/5.0101859] [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] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 01/04/2023] [Indexed: 06/18/2023]
Abstract
We present the development of a compact Thomson parabola ion spectrometer capable of characterizing the energy spectra of various ion species of multi-MeV ion beams from >1020W/cm2 laser produced plasmas at rates commensurate with the highest available from any of the current and near-future PW-class laser facilities. This diagnostic makes use of a polyvinyl toluene based fast plastic scintillator (EJ-260), and the emitted light is collected using an optical imaging system coupled to a thermoelectrically cooled scientific complementary metal-oxide-semiconductor camera. This offers a robust solution for data acquisition at a high repetition rate, while avoiding the added complications and nonlinearities of micro-channel plate based systems. Different ion energy ranges can be probed using a modular magnet setup, a variable electric field, and a varying drift-distance. We have demonstrated operation and data collection with this system at up to 0.2 Hz from plasmas created by irradiating a solid target, limited only by the targeting system. With the appropriate software, on-the-fly ion spectral analysis will be possible, enabling real-time experimental control at multi-Hz repetition rates.
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Affiliation(s)
- R Nedbailo
- Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado 80523, USA
| | - J Park
- Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado 80523, USA
| | - R Hollinger
- Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado 80523, USA
| | - S Wang
- Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado 80523, USA
| | - D Mariscal
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Morrison
- Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado 80523, USA
| | - H Song
- Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado 80523, USA
| | - G Zeraouli
- Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado 80523, USA
| | - G G Scott
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - T Ma
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J J Rocca
- Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado 80523, USA
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14
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Rai PK, Sonne C, Song H, Kim KH. Plastic wastes in the time of COVID-19: Their environmental hazards and implications for sustainable energy resilience and circular bio-economies. Sci Total Environ 2023; 858:159880. [PMID: 36328266 PMCID: PMC9618453 DOI: 10.1016/j.scitotenv.2022.159880] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/28/2022] [Accepted: 10/28/2022] [Indexed: 06/06/2023]
Abstract
The global scope of pollution from plastic waste is a well-known phenomenon associated with trade, mass consumption, and disposal of plastic products (e.g., personal protective equipment (PPE), viral test kits, and vacuum-packaged food). Recently, the scale of the problem has been exacerbated by increases in indoor livelihood activities during lockdowns imposed in response to the coronavirus disease 2019 (COVID-19) pandemic. The present study describes the effects of increased plastic waste on environmental footprint and human health. Further, the technological/regulatory options and life cycle assessment (LCA) approach for sustainable plastic waste management are critically dealt in terms of their implications on energy resilience and circular economy. The abrupt increase in health-care waste during pandemic has been worsening environmental quality to undermine the sustainability in general. In addition, weathered plastic particles from PPE along with microplastics (MPs) and nanoplastics (NPs) can all adsorb chemical and microbial contaminants to pose a risk to ecosystems, biota, occupational safety, and human health. PPE-derived plastic pollution during the pandemic also jeopardizes sustainable development goals, energy resilience, and climate control measures. However, it is revealed that the pandemic can be regarded as an opportunity for explicit LCA to better address the problems associated with environmental footprints of plastic waste and to focus on sustainable management technologies such as circular bio-economies, biorefineries, and thermal gasification. Future researches in the energy-efficient clean technologies and circular bio-economies (or biorefineries) in concert with a "nexus" framework are expected to help reduce plastic waste into desirable directions.
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Affiliation(s)
- Prabhat Kumar Rai
- Phyto-Technologies and Plant Invasion Lab, Department of Environmental Science, School of Earth Sciences and Natural Resources Management, Mizoram University, Aizawl, Mizoram, India
| | - C Sonne
- Department of Ecoscience, Arctic Research Centre, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
| | - H Song
- Department of Earth Resources and Environmental Engineering, Hanyang University, 222 Wangsimni-Ro, Seoul 04763, Republic of Korea
| | - Ki-Hyun Kim
- Department of Civil & Environmental Engineering, Hanyang University, 222 Wangsimni-Ro, Seoul 04763, Republic of Korea.
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15
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Mariscal DA, Djordjević BZ, Anirudh R, Bremer T, Campbell PC, Feister S, Folsom E, Grace ES, Hollinger R, Jacobs SA, Kailkhura B, Kalantar D, Kemp AJ, Kim J, Kur E, Liu S, Ludwig J, Morrison J, Nedbailo R, Ose N, Park J, Rocca JJ, Scott GG, Simpson RA, Song H, Spears B, Sullivan B, Swanson KK, Thiagarajan J, Wang S, Williams GJ, Wilks SC, Wyatt M, Van Essen B, Zacharias R, Zeraouli G, Zhang J, Ma T. A flexible proton beam imaging energy spectrometer (PROBIES) for high repetition rate or single-shot high energy density (HED) experiments (invited). Rev Sci Instrum 2023; 94:023507. [PMID: 36859040 DOI: 10.1063/5.0101845] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 12/28/2022] [Indexed: 06/18/2023]
Abstract
The PROBIES diagnostic is a new, highly flexible, imaging and energy spectrometer designed for laser-accelerated protons. The diagnostic can detect low-mode spatial variations in the proton beam profile while resolving multiple energies on a single detector or more. When a radiochromic film stack is employed for "single-shot mode," the energy resolution of the stack can be greatly increased while reducing the need for large numbers of films; for example, a recently deployed version allowed for 180 unique energy measurements spanning ∼3 to 75 MeV with <0.4 MeV resolution using just 20 films vs 180 for a comparable traditional film and filter stack. When utilized with a scintillator, the diagnostic can be run in high-rep-rate (>Hz rate) mode to recover nine proton energy bins. We also demonstrate a deep learning-based method to analyze data from synthetic PROBIES images with greater than 95% accuracy on sub-millisecond timescales and retrained with experimental data to analyze real-world images on sub-millisecond time-scales with comparable accuracy.
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Affiliation(s)
- D A Mariscal
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Z Djordjević
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Anirudh
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - T Bremer
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - P C Campbell
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - S Feister
- Department of Computer Science, California State University Channel Islands, Camarillo, California 93012, USA
| | - E Folsom
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - E S Grace
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Hollinger
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - S A Jacobs
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Kailkhura
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - D Kalantar
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - A J Kemp
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Kim
- Center for Energy Research, University of California San Diego, La Jolla, California 92093, USA
| | - E Kur
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - S Liu
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Ludwig
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Morrison
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - R Nedbailo
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - N Ose
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Park
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - J J Rocca
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - G G Scott
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R A Simpson
- Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - H Song
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - B Spears
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Sullivan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - K K Swanson
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Thiagarajan
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - S Wang
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - G J Williams
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - S C Wilks
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - M Wyatt
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Van Essen
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Zacharias
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - G Zeraouli
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Zhang
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - T Ma
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
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16
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Bang HJ, Jeong WJ, Cha K, Oh SH, Park KN, Youn CS, Kim HJ, Lim JY, Kim HJ, Song H. A novel cardiac arrest severity score for the early prediction of hypoxic-ischemic brain injury and in-hospital death. Eur Heart J 2023. [DOI: 10.1093/eurheartj/ehac779.065] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
Out-of-hospital cardiac arrest (OHCA) outcomes are unsatisfactory despite postcardiac arrest care. Early prediction of prognoses might help stratify patients and provide tailored therapy.
Purpose
In this study, we derived and validated a novel scoring system to predict hypoxic-ischaemic brain injury (HIBI) and in-hospital death (IHD).
Methods
We retrospectively analysed Korean Hypothermia Network prospective registry data collected from in Korea between 2015 and 2018. Patients without neuroprognostication data were excluded, and the remaining patients were randomly divided into derivation and validation cohorts. HIBI was defined when at least one prognostication predicted a poor outcome. IHD meant all deaths regardless of cause. In the derivation cohort, stepwise multivariate logistic regression was conducted for HIBI and IHD scores, and model performance was assessed. We then classified patients into four categories and analysed associations between the categories and cerebral performance categories (CPCs) at hospital discharge. Finally, we validated our models in the internal validation cohort.
Results
Among 1373 patients, 240 were excluded, and 1133 were randomised into derivation (n=754) and validation cohorts (n=379). In the derivation cohort, 7 and 8 predictors were selected for HIBI (0–8) and IHD scores (0–11), respectively, and the area under the curve (AUC) was 0.85 (95% CI 0.82–0.87) and 0.80 (95% CI 0.77–0.82), respectively. Applying optimum cutoff values of ≥6 points for HIBI and ≥7 points for IHD, patients were classified as follows: HIBI (-)/IHD (-), Category 1 (n=424); HIBI (-)/IHD (+), Category 2 (n=100); HIBI (+)/IHD (-), Category 3 (n=21); and HIBI (+)/IHD (+), Category 4 (n=209). CPCs at discharge were significantly different in each category (p<0.001). In the validation cohort, the model showed moderate discrimination (AUC 0.83, 95% CI 0.79–0.87 for HIBI and AUC 0.77, 95% CI 0.72–0.81 for IHD) with good calibration. Each category of the validation cohort showed a significant difference in discharge outcomes (p<0.001) and a similar trend to the derivation cohort.
Conclusions
We presented a novel approach for assessing illness severity after OHCA. Although external prospective studies are warranted, risk stratification for HIBI and IHD could help provide OHCA patients with appropriate treatment.
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Affiliation(s)
- H J Bang
- The Catholic University of Korea Seoul St. Mary's Hospital, Emergency medicine , Seoul , Korea (Republic of)
| | - W J Jeong
- St. Vincent's Hospital, Emergency medicine , Suwon , Korea (Democratic People's Republic of)
| | - K Cha
- St. Vincent's Hospital, Emergency medicine , Suwon , Korea (Democratic People's Republic of)
| | - S H Oh
- The Catholic University of Korea Seoul St. Mary's Hospital, Emergency medicine , Seoul , Korea (Republic of)
| | - K N Park
- The Catholic University of Korea Seoul St. Mary's Hospital, Emergency medicine , Seoul , Korea (Republic of)
| | - C S Youn
- The Catholic University of Korea Seoul St. Mary's Hospital, Emergency medicine , Seoul , Korea (Republic of)
| | - H J Kim
- The Catholic University of Korea Seoul St. Mary's Hospital, Emergency medicine , Seoul , Korea (Republic of)
| | - J Y Lim
- The Catholic University of Korea Seoul St. Mary's Hospital, Emergency medicine , Seoul , Korea (Republic of)
| | - H J Kim
- The Catholic University of Korea Seoul St. Mary's Hospital, Emergency medicine , Seoul , Korea (Republic of)
| | - H Song
- St. Vincent's Hospital, Emergency medicine , Suwon , Korea (Democratic People's Republic of)
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17
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Song H. Novel serum biomarkers for predicting prognosis in post cardiac arrest patients. Eur Heart J 2023. [DOI: 10.1093/eurheartj/ehac779.066] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Objective
To determine the clinical feasibility of novel serum biomarkers by comparing them with conventional serum biomarkers in out-of-hospital cardiac arrest (OHCA) patients treated with target temperature management (TTM).
Methods
This study was a prospective observational study conducted on OHCA patients who underwent TTM. We measured serum biomarker Neuron‑Specific Enolase (NSE), S-100B (S100 calcium-binding protein), Tau protein, Glial Fibrillary Acidic Protein (GFAP), Neurofilament Light Chain (NFL), and Ubiquitin C-terminal hydrolase-L1 (UCH-L1) at 0, 24, 48, and 72 hours after return of spontaneous circulation (ROSC). Conventional biomarkers include NSE and S-100B. The primary outcome was good neurologic outcome at 6 months after OHCA.
Results
A total of 100 patients were included in this study from August 2018 to May 2020. Among the included patients, 46 patients had good neurologic outcomes. As for the biomarker's AUC value measured immediately after ROSC, GFAP had the highest value (0.850), and among the values measured 24 hours after ROSC, S100B showed the highest value (0.901). The AUC values of biomarkers measured after 48 hours and 72 hours after ROSC, were the highest in NFL (0.921, 0.946). AUC values measured after 72 hours of ROSC showed higher values in novel biomarkers than in conventional biomarkers.
Conclusion
After 72 hours of ROSC, the Novel biomarkers showed a higher AUC value than the conventional biomarkers. Among them, NFL showed the highest AUC values than other biomarkers at 48 and 72 hours of ROSC.
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Affiliation(s)
- H Song
- St. Vincent Hospital , Suwon , Korea (Republic of)
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18
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Xu H, Zheng H, Zhang Q, Song H, Wang Q, Xiao J, Dong Y, Shen Z, Wang S, Wu S, Wei Y, Lu W, Zhu Y, Niu X. A Multicentre Clinical Study of Sarcoma Personalised Treatment Using Patient-Derived Tumour Xenografts. Clin Oncol (R Coll Radiol) 2023; 35:e48-e59. [PMID: 35781406 DOI: 10.1016/j.clon.2022.06.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 11/08/2021] [Revised: 04/21/2022] [Accepted: 06/09/2022] [Indexed: 01/04/2023]
Abstract
AIMS Medication for advanced sarcomas has not improved for three decades. Patient-derived tumour xenografts (PDTX) are a promising solution for developing new therapies and real-time personalised medicine because of their highly effective prediction of drug efficacy. However, there is a dearth of PDTX models for sarcomas due to the scarcity and heterogeneity of the disease. MATERIALS AND METHODS A multicentre clinical collaborative study (ChiCTR-OOC-17013617) was carried out. Fresh patient tumour tissues via resection or biopsy were used for the PDTX set-up. The standard medical care chosen by the physician was given to the patient, in parallel with testing on multiple regimens. The outcomes of patients' responses and PDTX tests were compared. Comprehensive analyses were carried out to assess the clinical value of PDTX for the treatment of sarcomas. Living tissues from successfully engrafted cases were deposited into a repository. RESULTS Forty-two cases, including 36 bone sarcomas and six soft-tissue sarcomas, were enrolled; the overall engraftment rate was 73.8%. Histopathological examination showed a 100% consistency between primary tumours and tumour grafts. The engraftment rate was independent of age, gender and sampling methods, but was associated with subtypes of tumour. The outgrowth time of tumour grafts could be associated with prognosis. Major somatic mutations in tumour grafts occurred primarily in common tumour driver genes. Poor prognosis was associated with the KMT2C mutation. A drug efficacy test showed complete concordance between the PDTX model and patients' responses in 17 regimens. CONCLUSION PDTX is an ideal preclinical model for sarcomas because of its faithful preservation of the heterogeneity of the disease, a satisfactory engraftment rate and high accuracy in its prediction of drug efficacy.
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Affiliation(s)
- H Xu
- Beijing Jishuitan Hospital, Beijing, China
| | - H Zheng
- Nanjing Personal Oncology Biological Technology Co. Ltd, Nanjing, China
| | - Q Zhang
- Beijing Jishuitan Hospital, Beijing, China
| | - H Song
- Nanjing Personal Oncology Biological Technology Co. Ltd, Nanjing, China
| | - Q Wang
- Nanjing Personal Oncology Biological Technology Co. Ltd, Nanjing, China
| | - J Xiao
- Changzheng Hospital, Shanghai, China
| | - Y Dong
- The Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Z Shen
- The Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - S Wang
- Spine Surgery, Drum Tower Hospital, Nanjing University Medical School, Nanjing, China
| | - S Wu
- Jinling Hospital, Nanjing, Jiangsu, China
| | - Y Wei
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - W Lu
- Zhongshan Hospital, Fudan University, Shanghai, China
| | - Y Zhu
- Nanjing Personal Oncology Biological Technology Co. Ltd, Nanjing, China
| | - X Niu
- Beijing Jishuitan Hospital, Beijing, China.
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19
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Baek Y, Kwak E, Kim Y, Kim A, Song H, Jeon J. 088 Periodontal disease does not increase the risk of subsequent psoriasis: a nationwide population-based cohort study in Korea. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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20
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Zeraouli G, Mariscal D, Grace E, Scott GG, Swanson KK, Simpson R, Djordjevic BZ, Nedbailo R, Song H, Morrison J, Park J, Hollinger R, Wang S, Rocca JJ, Ma T. Ultra-compact x-ray spectrometer for high-repetition-rate laser-plasma experiments. Rev Sci Instrum 2022; 93:113508. [PMID: 36461516 DOI: 10.1063/5.0100970] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 09/28/2022] [Indexed: 06/17/2023]
Abstract
We present in this work the development of an ultra-compact, multi-channel x-ray spectrometer (UCXS). This diagnostic has been specially built and adapted to perform at high-repetition-rate (>1 Hz) for high-intensity, short-pulse laser plasma experiments. X-ray filters of varying materials and thicknesses are chosen to provide spectral resolution up to ΔE ≈ 1 keV over the x-ray energy range of 1-30 keV. These filters are distributed over a total of 25 channels, where each x-ray filter is coupled to a single scintillator. The UCXS is designed to detect and resolve a large variety of laser-driven x-ray sources such as low energy bremsstrahlung emission, fluorescence, and betatron radiation (up to 30 keV). Preliminary results from commissioning experiments at the ABL laser facility at Colorado State University are provided.
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Affiliation(s)
- G Zeraouli
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - D Mariscal
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - E Grace
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - G G Scott
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - K K Swanson
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Simpson
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Z Djordjevic
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Nedbailo
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - H Song
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - J Morrison
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - J Park
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - R Hollinger
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - S Wang
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - J J Rocca
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Ma
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
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21
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Altibi A, Ghanem F, Patel J, Al-Taweel O, Chadderdon S, Song H, Lantz G, Zahr F, Golwala H. Hospital procedural volume and clinical outcomes for transcatheter aortic valve replacement – US nationwide readmission database, 2016–2019. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2097] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
The number of hospitals offering transcatheter aortic valve replacement (TAVR) programs has increased exponentially in the United States over past several years. Multiple prior studies indicate relationship between hospital volume and clinical outcomes for various cardiac procedures.
Purpose
The association between the hospital procedural volume and clinical outcomes for TAVR is yet poorly understood. In this study, we aim to examine the in-hospital outcomes after TAVR stratified by hospital volume within a nationally representative, large database.
Methods
The National Readmission Database (NRD) 2016–2019 was used to identify hospitals with established TAVR programs (performing ≥20 TAVRs/year). Based on annualized procedural volume of transfemoral TAVR, hospitals were stratified into tertiles of low, medium, and high volume TAVR centers. Rates of adverse in-hospital events (death, cardiac arrest, stroke, vascular complications, and permanent pacemaker), 30-day mortality, and 30-day readmission rates were examined. Multivariate logistic regression analysis was performed to compare overall outcomes following TAVR in low-, medium-, and high-volume centers; adjusted for baseline characteristics and comorbidity burden.
Results
Of 71 million discharge records reviewed, a total of 232,581 patients underwent transfemoral TAVR between 2016–2019. Of all the TAVR cases, 77,183 (33.2%), 75,987 (32.7%), and 79,411 (34.1%) were performed at low-, medium-, and high-volume hospitals respectively. The median number of annual TAVR procedures was 91, 229, and 456 in low-, medium-, and high-volume centers respectively. Adjusted in-hospital mortality was significantly higher in low-volume (OR: 1.40, 95% CI: 1.21–1.62, p<0.01) and medium-volume (OR: 1.29, 95% CI: 1.11–1.50, p<0.01) hospitals compared with high-volume centers. Similarly, adjusted 30-day mortality (OR: 1.45, 95% CI: 1.27–1.66, p<0.01), 30-day readmission rates (OR: 1.11, 95% CI: 1.05–1.18, p<0.01), and in-hospital cardiac arrest (OR: 1.20, 95% CI: 1.08–1.33, p<0.01) were significantly higher for centers in the lowest-volume tertile compared with those in the highest-volume tertile. There were no significant differences in hospital length of stay (mean, 4.3±6.5 days), in-hospital stroke, acute kidney injury, vascular complications, need for permanent pacemaker, or mechanical circulatory support post-TAVR between the three groups.
Conclusion
In the United States, an inverse volume-mortality relationship was observed for transfemoral TAVR procedures from 2016 through 2019. Mortality and readmission rates at 30 days post-TAVR were significantly higher at low-volume hospitals compared with high-volume hospitals. Further research focusing at establishing protocols and standardized training programs may help mitigate the discrepancy in TAVR outcomes amongst hospitals with discrepant procedural volume.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- A Altibi
- Oregon Health & Science University , Portland , United States of America
| | - F Ghanem
- East Tennessee State University, Cardiovascular Medicine , Johnson , United States of America
| | - J Patel
- East Tennessee State University, Cardiovascular Medicine , Johnson , United States of America
| | - O Al-Taweel
- University of Nevada, Las Vegas School of Medicine, Cardiovascular Medicine , Las Vegas , United States of America
| | - S Chadderdon
- Oregon Health & Science University , Portland , United States of America
| | - H Song
- Oregon Health & Science University , Portland , United States of America
| | - G Lantz
- Oregon Health & Science University , Portland , United States of America
| | - F Zahr
- Oregon Health & Science University , Portland , United States of America
| | - H Golwala
- Oregon Health & Science University , Portland , United States of America
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22
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Swanson KK, Mariscal DA, Djordjevic BZ, Zeraouli G, Scott GG, Hollinger R, Wang S, Song H, Sullivan B, Nedbailo R, Rocca JJ, Ma T. Applications of machine learning to a compact magnetic spectrometer for high repetition rate, laser-driven particle acceleration. Rev Sci Instrum 2022; 93:103547. [PMID: 36319355 DOI: 10.1063/5.0101857] [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] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
Accurately and rapidly diagnosing laser-plasma interactions is often difficult due to the time-intensive nature of the analysis and will only become more so with the rise of high repetition rate lasers and the desire to implement feedback on a commensurate timescale. Diagnostic analysis employing machine learning techniques can help address this problem while maintaining a high degree of accuracy. We report on the application of machine learning to the analysis of a scintillator-based electron spectrometer for experiments on high intensity, laser-plasma interactions at the Colorado State University Advanced Lasers and Extreme Photonics facility. Our approach utilizes a neural network trained on synthetic data and tested on experiments to extract the accelerated electron temperature. By leveraging transfer learning, we demonstrate an improvement in the neural network accuracy, decreasing the network error by 50%.
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Affiliation(s)
- K K Swanson
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - D A Mariscal
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Z Djordjevic
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - G Zeraouli
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - G G Scott
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Hollinger
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - S Wang
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - H Song
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - B Sullivan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - R Nedbailo
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - J J Rocca
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Ma
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
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23
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Beier NF, Allison H, Efthimion P, Flippo KA, Gao L, Hansen SB, Hill K, Hollinger R, Logantha M, Musthafa Y, Nedbailo R, Senthilkumaran V, Shepherd R, Shlyaptsev VN, Song H, Wang S, Dollar F, Rocca JJ, Hussein AE. Homogeneous, Micron-Scale High-Energy-Density Matter Generated by Relativistic Laser-Solid Interactions. Phys Rev Lett 2022; 129:135001. [PMID: 36206410 DOI: 10.1103/physrevlett.129.135001] [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] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 08/01/2022] [Accepted: 08/26/2022] [Indexed: 06/16/2023]
Abstract
Short-pulse, laser-solid interactions provide a unique platform for studying complex high-energy-density matter. We present the first demonstration of solid-density, micron-scale keV plasmas uniformly heated by a high-contrast, 400 nm wavelength laser at intensities up to 2×10^{21} W/cm^{2}. High-resolution spectral analysis of x-ray emission reveals uniform heating up to 3.0 keV over 1 μm depths. Particle-in-cell simulations indicate the production of a uniformly heated keV plasma to depths of 2 μm. The significant bulk heating and presence of highly ionized ions deep within the target are attributed to the few MeV hot electrons that become trapped and undergo refluxing within the target sheath fields. These conditions enabled the differentiation of atomic physics models of ionization potential depression in high-energy-density environments.
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Affiliation(s)
- N F Beier
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 2R3, Canada
- STROBE, NSF Science and Technology Center, University of California, Irvine, California 92617, USA
| | - H Allison
- STROBE, NSF Science and Technology Center, University of California, Irvine, California 92617, USA
| | - P Efthimion
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08536, USA
| | - K A Flippo
- Los Alamos National Laboratory, P.O. Box 1163, Los Alamos, New Mexico 87545, USA
| | - L Gao
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08536, USA
| | - S B Hansen
- Sandia National Laboratories, Albuquerque, New Mexico 87185, USA
| | - K Hill
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08536, USA
| | - R Hollinger
- Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado 80521, USA
| | - M Logantha
- STROBE, NSF Science and Technology Center, University of California, Irvine, California 92617, USA
| | - Y Musthafa
- STROBE, NSF Science and Technology Center, University of California, Irvine, California 92617, USA
| | - R Nedbailo
- Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado 80521, USA
| | - V Senthilkumaran
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 2R3, Canada
| | - R Shepherd
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - V N Shlyaptsev
- Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado 80521, USA
| | - H Song
- Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado 80521, USA
| | - S Wang
- Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado 80521, USA
| | - F Dollar
- STROBE, NSF Science and Technology Center, University of California, Irvine, California 92617, USA
| | - J J Rocca
- Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado 80521, USA
- Department of Physics, Colorado State University, Fort Collins, Colorado 80521, USA
| | - A E Hussein
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 2R3, Canada
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24
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Rai PK, Sonne C, Song H, Kim KH. The effects of COVID-19 transmission on environmental sustainability and human health: Paving the way to ensure its sustainable management. Sci Total Environ 2022; 838:156039. [PMID: 35595144 PMCID: PMC9113776 DOI: 10.1016/j.scitotenv.2022.156039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/02/2022] [Accepted: 05/14/2022] [Indexed: 05/02/2023]
Abstract
The transmission dynamics and health risks of coronavirus disease 2019 (COVID-19) pandemic are inextricably linked to ineract with environment, climate, air pollution, and meteorological conditions. The spread of COVID-19 infection can thus perturb the 'planetary health' and livelihood by exerting impacts on the temporal and spatial variabilities of environmental pollution. Prioritization of COVID-19 by the health-care sector has been posing a serious threat to economic progress while undermining the efforts to meet the United Nations' Sustainable Development Goals (SDGs) for environmental sustainability. Here, we review the multifaceted effects of COVID-19 with respect to environmental quality, climatic variables, SDGs, energy resilience, and sustainability programs. It is well perceived that COVID-19 may have long-lasting and profound effects on socio-economic systems, food security, livelihoods, and the 'nexus' indicators. To seek for the solution of these problems, consensus can be drawn to establish and ensure a sound health-care system, a sustainable environment, and a circular bioeconomy. A holistic analysis of COVID-19's effects on multiple sectors should help develop nature-based solutions, cleaner technologies, and green economic recovery plans to help maintain environmental sustainability, ecosystem resilience, and planetary health.
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Affiliation(s)
- Prabhat Kumar Rai
- Phyto-Technologies and Plant Invasion Lab, Department of Environmental Science, School of Earth Sciences and Natural Resources Management, Mizoram University, Aizawl, Mizoram, India
| | - C Sonne
- Department of Ecoscience, Arctic Research Centre, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
| | - H Song
- Department of Environment and Energy, Sejong University, Seoul 05006, Republic of Korea
| | - Ki-Hyun Kim
- Department of Civil and Environmental Engineering, Hanyang University, 222 Wangsimni-Ro, Seoul 04763, Republic of Korea.
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25
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Mou YK, Ren C, Li YM, Yu GH, Zheng GB, Song H, Lu CX, Tian RX, Song XC. [Correlation analysis of clock genes and MEN2 medullary thyroid carcinoma]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:1079-1086. [PMID: 36177562 DOI: 10.3760/cma.j.cn115330-20211225-00822] [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: 06/16/2023]
Abstract
Objective: To investigate the correlation between CLOCK and BMAL1 genes and MEN2 medullary thyroid carcinoma (MTC). Methods: Thirteen cases with MEN2 MTC and thirteen cases with non-MEN2 MTC were selected who were treated in the Yantai Yuhuangding Hospital between January 2013 and September 2021. Clinical indicators such as blood calcitonin level, tumor diameter and metastatic lymph node of patients were collected. The expression differences of CLOCK and BMAL1 between MEN2 MTC and para-carcinoma tissue as well as between MEN2 MTC and non-MEN2 MTC were detected by immunohistochemistry and qPCR. The correlation between lymph node metastasis and CLOCK or BMAL1 expression was analyzed. Protein-protein interaction (PPI) network analysis combined with qPCR and correlation analysis was used to explore the expression regulation relationship between RET and circadian clock genes. The rhythm disorder of MEN2 cells was verified by lipopolysaccharide cell stimulation experiment after dexamethasone rhythm synchronization. Results: MEN2 MTC exhibited typical RET gene mutation. The mean blood calcitonin level, the tumor diameter and the number of metastatic lymph nodes of patients with MEN2 MTC were higher than those of patients with non-MEN2 MTC (t value was 2.76, 2.53, 2.26, all P<0.05). Immunohistochemical results showed that the expression levels of CLOCK and BMAL1 in MEN2 MTC were higher than those in non-MEN2 MTC, while negatively expressed in para-cancerous thyroid follicle. qPCR displayed that the expression of CLOCK gene in cancer tissues was higher than that in non-MEN2 MTC and para-cancerous tissues (t value was 2.68 and 2.86, all P<0.05); the expression of BMAL1 gene in MEN2 MTC was higher than that in non-MEN2 MTC and para-cancerous tissues (t value was 2.21 and 2.35, all P<0.05). Correlation analysis showed that the expression levels of CLOCK and BMAL1 genes were positively correlated with the number of lymph node metastases in patients with MEN2 MTC (r=0.65, P<0.001; r=0.52, P=0.005). PPI network analysis indicated that the expression of CLOCK gene was positively correlated with the abnormal expression of RET gene (r=0.96, P<0.001). With lipopolysaccharide to stimulate cultured cells in vitro after dexamethasone rhythm synchronization, the expressions of CLOCK and BMAL1 in MEN2 MTC cells (0.47±0.22 and 2.60±1.48) at 12 hours of synchronization were significantly lower than those in para-cancerous tissues (1.70±1.62 and 8.23±2.52), the difference was statistically significant(t=5.04, P=0.007; t=3.34, P=0.029). Conclusion: CLOCK and BMAL1 are correlated with the occurrence and development of MEN2 MTC, and may be potential targets for the development of new therapeutic strategies for MEN2 MTC.
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Affiliation(s)
- Y K Mou
- Department of Otorhinolaryngology, Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases, Yantai 264000, China State Key Laboratory of Oncology in South China, Guangzhou 510000, China
| | - C Ren
- Taishan Scholar Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China Department of Neurology, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
| | - Y M Li
- Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases, Yantai 264000, China Taishan Scholar Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
| | - G H Yu
- Department of Pathology, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
| | - G B Zheng
- Taishan Scholar Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China Department of Thyroid Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
| | - H Song
- Department of Otorhinolaryngology, Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
| | - C X Lu
- Department of Otorhinolaryngology, Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
| | - R X Tian
- Department of Otorhinolaryngology, Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
| | - X C Song
- Department of Otorhinolaryngology, Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases, Yantai 264000, China Taishan Scholar Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
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26
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Kim S, Park G, Kim S, Song S, Song H, Ryu J, Park S, Pereira S, Paeng K, Ock CY. 1706P Artificial intelligence-powered tumor purity assessment from H&E whole slide images associates with variant allele frequency of somatic mutations across 23 cancer types in TCGA cohorts. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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27
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Cho S, Lim Y, Cho S, Kim S, Park G, Song S, Song H, Park S, Ma M, Jung W, Paeng K, Ock CY, Cho E, Song S. 155P Artificial Intelligence (AI) - powered human epidermal growth factor receptor-2 (HER2) and tumor-infiltrating lymphocytes (TIL) analysis for HER2-positive early breast cancer patients treated with HER2-targeted neoadjuvant chemotherapy (NAC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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28
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Cho HG, Kim S, Choi S, Cho S, Jung W, Kim S, Park G, Song S, Pereira S, Song H, Park S, Mostafavi M, Paeng K, Ock CY. 900P AI-powered analyzer reveals enrichment of intra-tumoral tumor-infiltrating lymphocytes in high-grade neuroendocrine neoplasms. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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29
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Zhu J, Chen W, Hu Y, Qu Y, Yang H, Zeng Y, Hou C, Ge F, Zhou Z, Song H. Physical activity patterns, genetic susceptibility, and risk of hip/knee osteoarthritis: a prospective cohort study based on the UK Biobank. Osteoarthritis Cartilage 2022; 30:1079-1090. [PMID: 35504554 DOI: 10.1016/j.joca.2022.04.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 10/25/2021] [Revised: 04/04/2022] [Accepted: 04/25/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVES The effect of physical activity on hip/knee osteoarthritis (OA) and how it varies by genetic susceptibility to OA remains inconclusive. METHODS In a cohort study of UK Biobank, 436,166 OA-free participants were recruited in 2006-2010 and followed for knee/hip OA until the end of 2020. 28 physical activity-related items were collected at baseline. Cox regression was used to estimate associations between physical activity behaviors, as well as major activity patterns (i.e., significant principal components[PCs] identified by principal component analysis), and risk of OA, adjusting for multiple confounders. We further stratified the analyses by polygenic risk score (PRS) for OA to examine the impact of genetic susceptibility to OA on the studied association. RESULTS During a mean follow-up of 11.15 years, 13,227 hip and 21,119 knee OA cases were identified. 19, out of 28, studied items showed associations with increased OA risk. Compared with low adherence group(<1st tertile of PC score for each pattern), individuals with high adherence to five identified patterns were associated with increased risk of OA. The moderate adherence to "strenuous sports"(HR = 0.93, 95%CI: 0.89-0.97) and "walking for pleasure"(HR = 0.93, 95%CI: 0.89-0.98) patterns was associated with reduced OA. Similar risk patterns were obtained in the stratified analysis by PRS levels for OA. CONCLUSION High intensity of most activity patterns were associated with increased OA. However, a protective effect was suggested for moderate adherence to patterns of "strenuous sports" and "walking for pleasure" that consistent across different genetic susceptibilities, underscoring the potential benefits of moderate-intensity physical activity on OA.
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Affiliation(s)
- J Zhu
- Department of Orthopedics, Orthopedic Research Institute, and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - W Chen
- Division of Nephrology, Kidney Research Institute, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Y Hu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Y Qu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - H Yang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Y Zeng
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - C Hou
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - F Ge
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Z Zhou
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu 610041, China.
| | - H Song
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China; Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
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Luan X, Gao Z, Sun J, Chen G, Yan S, Yu H, Song H, Yao J, Song P. Feasibility of an ultra-low dose contrast media protocol for coronary CT angiography. Clin Radiol 2022; 77:e705-e710. [PMID: 35778294 DOI: 10.1016/j.crad.2022.05.029] [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: 12/31/2021] [Revised: 05/30/2022] [Accepted: 05/30/2022] [Indexed: 11/25/2022]
Abstract
AIM To evaluate the feasibility of an ultra-low volume contrast media (CM) protocol for coronary computed tomography angiography (CTA). MATERIALS AND METHODS In total, 214 patients receiving coronary CTA were enrolled prospectively and divided into group A (n=107) receiving a conventional dose of CM and group B (n=107) receiving an ultra-low dose. CT values of the right coronary artery (RCA), left anterior descending artery (LAD), and left circumflex artery (LCX) were measured and radiation doses recorded. The image quality was compared between the groups. Changes in renal function indices and proteinuria before, 24, and 72 hours after coronary CTA among those with chronic kidney disease (CKD) were also assessed. RESULTS There were significant differences in CT values and radiation doses between groups A and B. In group A, the average RCA, LAD, and LCX CT values were 412.5 ± 79.2, 423.5 ± 73.7, and 422.0 ± 88.1 HU, respectively. In group B, the average RCA, LAD, and LCX CT values were 275.2 ± 16.2, 277.8 ± 16.4, and 278.9 ± 16.5 HU, respectively. The radiation dose in the ultra-low protocol recipients (118.70 ± 18.52 mGy·cm) was significantly lower than that used in conventional coronary CTA (131.75 ± 20.96 mGy·cm). The image quality of group B was comparable to that of group A, satisfying the diagnostic requirement. In patients with mild CKD, there were no significant differences in renal functions after coronary CTA. CONCLUSION An ultra-low CM protocol was established for coronary CTA, providing comparable image quality and diagnostic yields but significantly lower radiation dose compared with a conventional protocol. This new protocol might be applicable to patients with mild CKD.
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Affiliation(s)
- X Luan
- Weifang Medical University, Weifang 261053, China; Jinan Central Hospital, Jinan 250013, China
| | - Z Gao
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250013, China
| | - J Sun
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250013, China
| | - G Chen
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250013, China
| | - S Yan
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
| | - H Yu
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
| | - H Song
- The Institute for Tissue Engineering and Regenerative Medicine, The Liaocheng University/liaocheng People's Hospital, Liaocheng 252000, China
| | - J Yao
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - P Song
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250013, China.
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Jung M, Song SG, Cho SI, Jung W, Oum C, Song H, Ma M, Park S, Pereira S, Song S, Paeng K, Yoo D, Ock CY, Sung JY, Kim SW. Artificial intelligence-powered human epidermal growth factor receptor 2 (HER2) analyzer in breast cancer as an assistance tool for pathologists to reduce interobserver variation. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e12543] [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: 11/20/2022] Open
Abstract
e12543 Background: Human epidermal growth factor receptor 2 (HER2) expression is a predictive marker for HER2-targeted therapy in breast cancer patients. Interobserver variation in the interpretation of HER2 levels exists among pathologists, thus a method to increase the consistency of evaluation is needed. This study aimed to evaluate the performance of the artificial intelligence (AI)-based Lunit SCOPE HER2 in assisting pathologists to evaluate HER2 expression levels in breast cancer. Methods: Lunit SCOPE HER2 was developed with a 1.04 x 1010 μm2 area and 7.31 x 105 tumor cells from 1,133 HER2 immunohistochemistry stained whole-slide images (WSI) of breast cancer, annotated by 113 board-certified pathologists. The AI model was developed based on a semantic segmentation algorithm, which consists of two atrous spatial pyramid pooling blocks for tissue level classification and for tumor cell level classification. To validate the model, a total of 209 HER2 WSIs diagnosed with breast cancer were obtained from Kyung Hee University Hospital in Korea and were assigned as an external validation set. Three board-certified pathologists evaluated slide level HER2 expression (3+, 2+, 1+, and 0) twice, first without AI assistance and second, with it. The second reading was performed for WSIs where the pathologist's reading showed discrepancy with the AI model. Results: In the external validation set, all pathologists scored the same HER2 grade in 103 WSIs (49.3%), and the Fleiss kappa value was 0.512. The HER2 grade from the AI model and pathologists was the same in 151 WSIs (72.2%), and the weighted kappa value was 0.844. The pathologists re-evaluate 43, 63, and 83 WSIs, respectively. After AI assistance, all pathologists scored the same HER2 grade in 156 WSIs (74.6%), and the Fleiss kappa value increased to 0.762 (Table). Conclusions: This study demonstrates that an AI-powered HER2 analyzer can help achieve consistent HER2 expression level evaluation in breast cancer by reducing interobserver variability. Thus, the AI model can be applied as an assistance tool for pathologists in HER2 grade evaluation.[Table: see text]
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Affiliation(s)
- Minsun Jung
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung Geun Song
- Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea
| | | | | | | | | | | | | | | | | | | | | | | | - Ji-Youn Sung
- Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea
| | - So-Woon Kim
- Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea
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Shen J, Choi YL, Lee T, Kim H, Chae YK, Dulken B, Bogdan S, Huang M, Fisher GA, Park S, Lee SH, Hwang JE, Chung JH, Kim L, Shin S, Lim Y, Song H, Pereira S, Ock CY. The inflamed immune phenotype (IIP): A clinically actionable artificial intelligence (AI)-based biomarker predictive of immune checkpoint inhibitor (ICI) outcomes across >16 primary tumor types. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.2621] [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: 11/20/2022] Open
Abstract
2621 Background: The IIP, defined by enriched intratumoral tumor-infiltrating lymphocytes (TIL), is a potential tumor-agnostic biomarker of responsiveness to ICI therapy. Here, we validate the IIP, as assessed by Lunit SCOPE IO, an AI-powered spatial TIL analyzer that runs on routine H&E-stained whole-slide images (WSI), for clinical outcome prediction in a large, multi-center international cohort of ICI-treated patients, demonstrating its utility as a practical biomarker to guide ICI treatment planning. Methods: Lunit SCOPE IO was developed using 17,849 H&E WSI of multiple cancer types, annotated by 104 board-certified pathologists (13.5 x 109 µm2 area and 6.2 x 106 TIL). IIP+ tumors were defined as those with ≥ 20% of all 1 mm2 tumor tiles in a WSI classified as having a high intratumoral TIL density. We evaluated the correlation between IIP and ICI treatment outcomes (overall response rate (ORR) and progression-free survival (PFS), assessed by RECIST v1.1) in a real-world dataset of 1,806 patients ( > 16 primary tumor types) retrospectively collected from Stanford University Medical Center, Samsung Medical Center, Chonnam National University Hospital, Seoul National University Bundang Hospital, and Northwestern University. IIP status was sub-analyzed by PD-L1 22C3 tumor proportion score (TPS, n = 798), microsatellite status, and tumor mutational burden (TMB, n = 130). Results: The IIP+ phenotype (35.2%, 636 of 1,806) was highly enriched in nasopharyngeal carcinoma (68.0%), melanoma (56.3%), renal cell carcinoma (52.9%), and non-small cell lung cancer (NSCLC, 33.7%). The IIP+ proportion by PD-L1 TPS ( < 1% / ≥ 1%) was 21.6% and 40.7%, respectively. While 33.3% of microsatellite unstable (MSI-H) or TMB-high (≥ 10/Mb) tumors were IIP+, a substantial proportion (26.1%) of microsatellite stable (MSS), TMB-low tumors were IIP+. The ORR in IIP+ patients was significantly higher (26.0% vs. 15.8% in IIP-, p < 0.001). Median PFS for IIP+ was 5.3 months (95% CI 4.6-6.9 m), significantly longer than that for IIP- (3.1 m, 95% CI 2.8-3.6 m), with a hazard ratio (HR) of 0.68 (95% CI 0.61-0.76, p < 0.001). The association held after excluding NSCLC patients (n = 909) (HR 0.69, 95% CI 0.59-0.81, p < 0.001). On subgroup analysis, IIP+ correlated significantly with prolonged PFS, regardless of ICI regimen (mono / combo therapy) or PD-L1 TPS ( < 1% / ≥ 1%). Of note, IIP+ was predictive of favorable PFS only in the MSS, TMB-low group (n = 88, HR 0.56, 95% CI 0.33-0.96), but not in the MSI-H or TMB-high groups. Conclusions: The IIP, as evaluated by Lunit SCOPE IO, may represent a practical, clinically-actionable biomarker predictive of favorable ICI treatment outcomes across diverse cancer patient populations, including those with PD-L1 negative, MSS/TMB-low tumors, in whom predictive biomarkers are urgently needed.
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Affiliation(s)
- Jeanne Shen
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Yoon-La Choi
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Taebum Lee
- Department of Pathology, Chonnam National University Medical School, Gwangju, South Korea
| | - Hyojin Kim
- Department of Pathology, Seoul National University Bundang Hospital, Seongnam, South Korea
| | | | - Benjamin Dulken
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Stephanie Bogdan
- Center for Artificial Intelligence in Medicine & Imaging, Stanford University School of Medicine, Stanford, CA
| | | | - George A. Fisher
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Sehhoon Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Se-Hoon Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jun Eul Hwang
- Division of Hematology-Oncology, Department of Internal Medicine, Chonnam National University Medical School, Hwasun, South Korea
| | - Jin-haeng Chung
- Department of Pathology, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Leeseul Kim
- AMITA health Saint Francis Hospital Evanston, Evanston, IL
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Song E, Wang X, Philipson B, Zhang Q, Thokala R, Binder Z, O’Rourke D, Song H, Milone M. Immunotherapy: THE IAP INHIBITOR BIRINAPANT ENHANCES CAR-T CELL THERAPY FOR GLIOBLASTOMA BY OVERCOMING ANTIGEN HETEROGENEITY. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00334-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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34
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Aaltonen T, Amerio S, Amidei D, Anastassov A, Annovi A, Antos J, Apollinari G, Appel JA, Arisawa T, Artikov A, Asaadi J, Ashmanskas W, Auerbach B, Aurisano A, Azfar F, Badgett W, Bae T, Barbaro-Galtieri A, Barnes VE, Barnett BA, Barria P, Bartos P, Bauce M, Bedeschi F, Behari S, Bellettini G, Bellinger J, Benjamin D, Beretvas A, Bhatti A, Bland KR, Blumenfeld B, Bocci A, Bodek A, Bortoletto D, Boudreau J, Boveia A, Brigliadori L, Bromberg C, Brucken E, Budagov J, Budd HS, Burkett K, Busetto G, Bussey P, Butti P, Buzatu A, Calamba A, Camarda S, Campanelli M, Carls B, Carlsmith D, Carosi R, Carrillo S, Casal B, Casarsa M, Castro A, Catastini P, Cauz D, Cavaliere V, Cerri A, Cerrito L, Chen YC, Chertok M, Chiarelli G, Chlachidze G, Cho K, Chokheli D, Clark A, Clarke C, Convery ME, Conway J, Corbo M, Cordelli M, Cox CA, Cox DJ, Cremonesi M, Cruz D, Cuevas J, Culbertson R, d'Ascenzo N, Datta M, de Barbaro P, Demortier L, Deninno M, D'Errico M, Devoto F, Di Canto A, Di Ruzza B, Dittmann JR, Donati S, D'Onofrio M, Dorigo M, Driutti A, Ebina K, Edgar R, Elagin A, Erbacher R, Errede S, Esham B, Farrington S, Fernández Ramos JP, Field R, Flanagan G, Forrest R, Franklin M, Freeman JC, Frisch H, Funakoshi Y, Galloni C, Garfinkel AF, Garosi P, Gerberich H, Gerchtein E, Giagu S, Giakoumopoulou V, Gibson K, Ginsburg CM, Giokaris N, Giromini P, Glagolev V, Glenzinski D, Gold M, Goldin D, Golossanov A, Gomez G, Gomez-Ceballos G, Goncharov M, González López O, Gorelov I, Goshaw AT, Goulianos K, Gramellini E, Grosso-Pilcher C, Guimaraes da Costa J, Hahn SR, Han JY, Happacher F, Hara K, Hare M, Harr RF, Harrington-Taber T, Hatakeyama K, Hays C, Heinrich J, Herndon M, Hocker A, Hong Z, Hopkins W, Hou S, Hughes RE, Husemann U, Hussein M, Huston J, Introzzi G, Iori M, Ivanov A, James E, Jang D, Jayatilaka B, Jeon EJ, Jindariani S, Jones M, Joo KK, Jun SY, Junk TR, Kambeitz M, Kamon T, Karchin PE, Kasmi A, Kato Y, Ketchum W, Keung J, Kilminster B, Kim DH, Kim HS, Kim JE, Kim MJ, Kim SH, Kim SB, Kim YJ, Kim YK, Kimura N, Kirby M, Kondo K, Kong DJ, Konigsberg J, Kotwal AV, Kreps M, Kroll J, Kruse M, Kuhr T, Kurata M, Laasanen AT, Lammel S, Lancaster M, Lannon K, Latino G, Lee HS, Lee JS, Leo S, Leone S, Lewis JD, Limosani A, Lipeles E, Lister A, Liu Q, Liu T, Lockwitz S, Loginov A, Lucchesi D, Lucà A, Lueck J, Lujan P, Lukens P, Lungu G, Lys J, Lysak R, Madrak R, Maestro P, Malik S, Manca G, Manousakis-Katsikakis A, Marchese L, Margaroli F, Marino P, Matera K, Mattson ME, Mazzacane A, Mazzanti P, McNulty R, Mehta A, Mehtala P, Menzione A, Mesropian C, Miao T, Michielin E, Mietlicki D, Mitra A, Miyake H, Moed S, Moggi N, Moon CS, Moore R, Morello MJ, Mukherjee A, Muller T, Murat P, Mussini M, Nachtman J, Nagai Y, Naganoma J, Nakano I, Napier A, Nett J, Nigmanov T, Nodulman L, Noh SY, Norniella O, Oakes L, Oh SH, Oh YD, Okusawa T, Orava R, Ortolan L, Pagliarone C, Palencia E, Palni P, Papadimitriou V, Parker W, Pauletta G, Paulini M, Paus C, Phillips TJ, Piacentino G, Pianori E, Pilot J, Pitts K, Plager C, Pondrom L, Poprocki S, Potamianos K, Pranko A, Prokoshin F, Ptohos F, Punzi G, Redondo Fernández I, Renton P, Rescigno M, Rimondi F, Ristori L, Robson A, Rodriguez T, Rolli S, Ronzani M, Roser R, Rosner JL, Ruffini F, Ruiz A, Russ J, Rusu V, Sakumoto WK, Sakurai Y, Santi L, Sato K, Saveliev V, Savoy-Navarro A, Schlabach P, Schmidt EE, Schwarz T, Scodellaro L, Scuri F, Seidel S, Seiya Y, Semenov A, Sforza F, Shalhout SZ, Shears T, Shepard PF, Shimojima M, Shochet M, Shreyber-Tecker I, Simonenko A, Sliwa K, Smith JR, Snider FD, Song H, Sorin V, St Denis R, Stancari M, Stentz D, Strologas J, Sudo Y, Sukhanov A, Suslov I, Takemasa K, Takeuchi Y, Tang J, Tecchio M, Teng PK, Thom J, Thomson E, Thukral V, Toback D, Tokar S, Tollefson K, Tomura T, Torre S, Torretta D, Totaro P, Trovato M, Ukegawa F, Uozumi S, Vázquez F, Velev G, Vellidis K, Vernieri C, Vidal M, Vilar R, Vizán J, Vogel M, Volpi G, Wagner P, Wallny R, Wang SM, Waters D, Wester WC, Whiteson D, Wicklund AB, Wilbur S, Williams HH, Wilson JS, Wilson P, Winer BL, Wittich P, Wolbers S, Wolfmeister H, Wright T, Wu X, Wu Z, Yamamoto K, Yamato D, Yang T, Yang UK, Yang YC, Yao WM, Yeh GP, Yi K, Yoh J, Yorita K, Yoshida T, Yu GB, Yu I, Zanetti AM, Zeng Y, Zhou C, Zucchelli S. High-precision measurement of the W boson mass with the CDF II detector. Science 2022; 376:170-176. [PMID: 35389814 DOI: 10.1126/science.abk1781] [Citation(s) in RCA: 77] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The mass of the W boson, a mediator of the weak force between elementary particles, is tightly constrained by the symmetries of the standard model of particle physics. The Higgs boson was the last missing component of the model. After observation of the Higgs boson, a measurement of the W boson mass provides a stringent test of the model. We measure the W boson mass, MW, using data corresponding to 8.8 inverse femtobarns of integrated luminosity collected in proton-antiproton collisions at a 1.96 tera-electron volt center-of-mass energy with the CDF II detector at the Fermilab Tevatron collider. A sample of approximately 4 million W boson candidates is used to obtain [Formula: see text], the precision of which exceeds that of all previous measurements combined (stat, statistical uncertainty; syst, systematic uncertainty; MeV, mega-electron volts; c, speed of light in a vacuum). This measurement is in significant tension with the standard model expectation.
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Affiliation(s)
| | - T Aaltonen
- Division of High Energy Physics, Department of Physics, University of Helsinki, FIN-00014, Helsinki, Finland.,Helsinki Institute of Physics, FIN-00014, Helsinki, Finland
| | - S Amerio
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova, I-35131 Padova, Italy.,University of Padova, I-35131 Padova, Italy
| | - D Amidei
- University of Michigan, Ann Arbor, MI 48109, USA
| | - A Anastassov
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - A Annovi
- Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
| | - J Antos
- Comenius University, 842 48 Bratislava, Slovakia.,Institute of Experimental Physics, 040 01 Kosice, Slovakia
| | - G Apollinari
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - J A Appel
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | | | - A Artikov
- Joint Institute for Nuclear Research, Dubna RU-141980, Russia
| | - J Asaadi
- Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - W Ashmanskas
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - B Auerbach
- Argonne National Laboratory, Argonne, IL 60439, USA
| | - A Aurisano
- Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - F Azfar
- University of Oxford, Oxford OX1 3RH, UK
| | - W Badgett
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - T Bae
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - A Barbaro-Galtieri
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - V E Barnes
- Purdue University, West Lafayette, IN 47907, USA
| | - B A Barnett
- The Johns Hopkins University, Baltimore, MD 21218, USA
| | - P Barria
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Siena, I-53100 Siena, Italy
| | - P Bartos
- Comenius University, 842 48 Bratislava, Slovakia.,Institute of Experimental Physics, 040 01 Kosice, Slovakia
| | - M Bauce
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova, I-35131 Padova, Italy.,University of Padova, I-35131 Padova, Italy
| | - F Bedeschi
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy
| | - S Behari
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - G Bellettini
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Pisa, I-56126 Pisa, Italy
| | - J Bellinger
- University of Wisconsin-Madison, Madison, WI 53706, USA
| | | | - A Beretvas
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - A Bhatti
- The Rockefeller University, New York, NY 10065, USA
| | - K R Bland
- Baylor University, Waco, TX 76798, USA
| | - B Blumenfeld
- The Johns Hopkins University, Baltimore, MD 21218, USA
| | - A Bocci
- Duke University, Durham, NC 27708, USA
| | - A Bodek
- University of Rochester, Rochester, NY 14627, USA
| | - D Bortoletto
- Purdue University, West Lafayette, IN 47907, USA
| | - J Boudreau
- University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - A Boveia
- Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA
| | - L Brigliadori
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy.,University of Bologna, I-40127 Bologna, Italy
| | - C Bromberg
- Michigan State University, East Lansing, MI 48824, USA
| | - E Brucken
- Division of High Energy Physics, Department of Physics, University of Helsinki, FIN-00014, Helsinki, Finland.,Helsinki Institute of Physics, FIN-00014, Helsinki, Finland
| | - J Budagov
- Joint Institute for Nuclear Research, Dubna RU-141980, Russia
| | - H S Budd
- University of Rochester, Rochester, NY 14627, USA
| | - K Burkett
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - G Busetto
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova, I-35131 Padova, Italy.,University of Padova, I-35131 Padova, Italy
| | - P Bussey
- Glasgow University, Glasgow G12 8QQ, UK
| | - P Butti
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Pisa, I-56126 Pisa, Italy
| | - A Buzatu
- Glasgow University, Glasgow G12 8QQ, UK
| | - A Calamba
- Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - S Camarda
- Institut de Fisica d'Altes Energies, ICREA, Universitat Autonoma de Barcelona, E-08193 Bellaterra (Barcelona), Spain
| | | | - B Carls
- University of Illinois, Urbana, IL 61801, USA
| | - D Carlsmith
- University of Wisconsin-Madison, Madison, WI 53706, USA
| | - R Carosi
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy
| | - S Carrillo
- University of Florida, Gainesville, FL 32611, USA
| | - B Casal
- Instituto de Fisica de Cantabria, CSIC-University of Cantabria, 39005 Santander, Spain
| | - M Casarsa
- Istituto Nazionale di Fisica Nucleare Trieste, I-34127 Trieste, Italy
| | - A Castro
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy.,University of Bologna, I-40127 Bologna, Italy
| | - P Catastini
- Harvard University, Cambridge, MA 02138, USA
| | - D Cauz
- Istituto Nazionale di Fisica Nucleare Trieste, I-34127 Trieste, Italy.,Gruppo Collegato di Udine, I-33100 Udine, Italy.,University of Udine, I-33100 Udine, Italy
| | - V Cavaliere
- University of Illinois, Urbana, IL 61801, USA
| | - A Cerri
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - L Cerrito
- University College London, London WC1E 6BT, UK
| | - Y C Chen
- Institute of Physics, Academia Sinica, Taipei, Taiwan 11529, Republic of China
| | - M Chertok
- University of California, Davis, Davis, CA 95616, USA
| | - G Chiarelli
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy
| | - G Chlachidze
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - K Cho
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - D Chokheli
- Joint Institute for Nuclear Research, Dubna RU-141980, Russia
| | - A Clark
- University of Geneva, CH-1211 Geneva 4, Switzerland
| | - C Clarke
- Wayne State University, Detroit, MI 48201, USA
| | - M E Convery
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - J Conway
- University of California, Davis, Davis, CA 95616, USA
| | - M Corbo
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - M Cordelli
- Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
| | - C A Cox
- University of California, Davis, Davis, CA 95616, USA
| | - D J Cox
- University of California, Davis, Davis, CA 95616, USA
| | - M Cremonesi
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy
| | - D Cruz
- Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - J Cuevas
- Instituto de Fisica de Cantabria, CSIC-University of Cantabria, 39005 Santander, Spain
| | - R Culbertson
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - N d'Ascenzo
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - M Datta
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - P de Barbaro
- University of Rochester, Rochester, NY 14627, USA
| | - L Demortier
- The Rockefeller University, New York, NY 10065, USA
| | - M Deninno
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy
| | - M D'Errico
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova, I-35131 Padova, Italy.,University of Padova, I-35131 Padova, Italy
| | - F Devoto
- Division of High Energy Physics, Department of Physics, University of Helsinki, FIN-00014, Helsinki, Finland.,Helsinki Institute of Physics, FIN-00014, Helsinki, Finland
| | - A Di Canto
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Pisa, I-56126 Pisa, Italy
| | - B Di Ruzza
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | | | - S Donati
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Pisa, I-56126 Pisa, Italy
| | - M D'Onofrio
- University of Liverpool, Liverpool L69 7ZE, UK
| | - M Dorigo
- Istituto Nazionale di Fisica Nucleare Trieste, I-34127 Trieste, Italy.,University of Trieste, I-34127 Trieste, Italy
| | - A Driutti
- Istituto Nazionale di Fisica Nucleare Trieste, I-34127 Trieste, Italy.,Gruppo Collegato di Udine, I-33100 Udine, Italy.,University of Udine, I-33100 Udine, Italy
| | - K Ebina
- Waseda University, Tokyo 169, Japan
| | - R Edgar
- University of Michigan, Ann Arbor, MI 48109, USA
| | - A Elagin
- Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA
| | - R Erbacher
- University of California, Davis, Davis, CA 95616, USA
| | - S Errede
- University of Illinois, Urbana, IL 61801, USA
| | - B Esham
- University of Illinois, Urbana, IL 61801, USA
| | | | - J P Fernández Ramos
- Centro de Investigaciones Energeticas Medioambientales y Tecnologicas, E-28040 Madrid, Spain
| | - R Field
- University of Florida, Gainesville, FL 32611, USA
| | - G Flanagan
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - R Forrest
- University of California, Davis, Davis, CA 95616, USA
| | - M Franklin
- Harvard University, Cambridge, MA 02138, USA
| | - J C Freeman
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - H Frisch
- Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA
| | | | - C Galloni
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Pisa, I-56126 Pisa, Italy
| | | | - P Garosi
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Siena, I-53100 Siena, Italy
| | - H Gerberich
- University of Illinois, Urbana, IL 61801, USA
| | - E Gerchtein
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - S Giagu
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma 1, I-00185 Roma, Italy
| | - V Giakoumopoulou
- National and Kapodistrian University of Athens, 157 71 Athens, Greece
| | - K Gibson
- University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - C M Ginsburg
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - N Giokaris
- National and Kapodistrian University of Athens, 157 71 Athens, Greece
| | - P Giromini
- Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
| | - V Glagolev
- Joint Institute for Nuclear Research, Dubna RU-141980, Russia
| | - D Glenzinski
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - M Gold
- University of New Mexico, Albuquerque, NM 87131, USA
| | - D Goldin
- Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - A Golossanov
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - G Gomez
- Instituto de Fisica de Cantabria, CSIC-University of Cantabria, 39005 Santander, Spain
| | | | - M Goncharov
- Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - O González López
- Centro de Investigaciones Energeticas Medioambientales y Tecnologicas, E-28040 Madrid, Spain
| | - I Gorelov
- University of New Mexico, Albuquerque, NM 87131, USA
| | | | - K Goulianos
- The Rockefeller University, New York, NY 10065, USA
| | - E Gramellini
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy
| | - C Grosso-Pilcher
- Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA
| | | | - S R Hahn
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - J Y Han
- University of Rochester, Rochester, NY 14627, USA
| | - F Happacher
- Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
| | - K Hara
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - M Hare
- Tufts University, Medford, MA 02155, USA
| | - R F Harr
- Wayne State University, Detroit, MI 48201, USA
| | | | | | - C Hays
- University of Oxford, Oxford OX1 3RH, UK
| | - J Heinrich
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - M Herndon
- University of Wisconsin-Madison, Madison, WI 53706, USA
| | - A Hocker
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - Z Hong
- Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - W Hopkins
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - S Hou
- Institute of Physics, Academia Sinica, Taipei, Taiwan 11529, Republic of China
| | - R E Hughes
- The Ohio State University, Columbus, OH 43210, USA
| | - U Husemann
- Yale University, New Haven, CT 06520, USA
| | - M Hussein
- Michigan State University, East Lansing, MI 48824, USA
| | - J Huston
- Michigan State University, East Lansing, MI 48824, USA
| | - G Introzzi
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,Istituto Nazionale di Fisica Nucleare Pavia, I-27100 Pavia, Italy.,University of Pavia, I-27100 Pavia, Italy
| | - M Iori
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma 1, I-00185 Roma, Italy.,Sapienza Università di Roma, I-00185 Roma, Italy
| | - A Ivanov
- University of California, Davis, Davis, CA 95616, USA
| | - E James
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - D Jang
- Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - B Jayatilaka
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - E J Jeon
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - S Jindariani
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - M Jones
- Purdue University, West Lafayette, IN 47907, USA
| | - K K Joo
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - S Y Jun
- Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - T R Junk
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - M Kambeitz
- Institut für Experimentelle Kernphysik, Karlsruhe Institute of Technology, D-76131 Karlsruhe, Germany
| | - T Kamon
- Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA.,Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - P E Karchin
- Wayne State University, Detroit, MI 48201, USA
| | - A Kasmi
- Baylor University, Waco, TX 76798, USA
| | - Y Kato
- Osaka City University, Osaka 558-8585, Japan
| | - W Ketchum
- Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA
| | - J Keung
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - B Kilminster
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - D H Kim
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - H S Kim
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - J E Kim
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - M J Kim
- Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
| | - S H Kim
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - S B Kim
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - Y J Kim
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - Y K Kim
- Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA
| | - N Kimura
- Waseda University, Tokyo 169, Japan
| | - M Kirby
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - K Kondo
- Waseda University, Tokyo 169, Japan
| | - D J Kong
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - J Konigsberg
- University of Florida, Gainesville, FL 32611, USA
| | | | - M Kreps
- Institut für Experimentelle Kernphysik, Karlsruhe Institute of Technology, D-76131 Karlsruhe, Germany
| | - J Kroll
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - M Kruse
- Duke University, Durham, NC 27708, USA
| | - T Kuhr
- Institut für Experimentelle Kernphysik, Karlsruhe Institute of Technology, D-76131 Karlsruhe, Germany
| | - M Kurata
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - A T Laasanen
- Purdue University, West Lafayette, IN 47907, USA
| | - S Lammel
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - M Lancaster
- University College London, London WC1E 6BT, UK
| | - K Lannon
- The Ohio State University, Columbus, OH 43210, USA
| | - G Latino
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Siena, I-53100 Siena, Italy
| | - H S Lee
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - J S Lee
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - S Leo
- University of Illinois, Urbana, IL 61801, USA
| | - S Leone
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy
| | - J D Lewis
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | | | - E Lipeles
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - A Lister
- University of Geneva, CH-1211 Geneva 4, Switzerland
| | - Q Liu
- Purdue University, West Lafayette, IN 47907, USA
| | - T Liu
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - S Lockwitz
- Yale University, New Haven, CT 06520, USA
| | - A Loginov
- Yale University, New Haven, CT 06520, USA
| | - D Lucchesi
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova, I-35131 Padova, Italy.,University of Padova, I-35131 Padova, Italy
| | - A Lucà
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA.,Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
| | - J Lueck
- Institut für Experimentelle Kernphysik, Karlsruhe Institute of Technology, D-76131 Karlsruhe, Germany
| | - P Lujan
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - P Lukens
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - G Lungu
- The Rockefeller University, New York, NY 10065, USA
| | - J Lys
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - R Lysak
- Comenius University, 842 48 Bratislava, Slovakia.,Institute of Experimental Physics, 040 01 Kosice, Slovakia
| | - R Madrak
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - P Maestro
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Siena, I-53100 Siena, Italy
| | - S Malik
- The Rockefeller University, New York, NY 10065, USA
| | - G Manca
- University of Liverpool, Liverpool L69 7ZE, UK
| | | | - L Marchese
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy
| | - F Margaroli
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma 1, I-00185 Roma, Italy
| | - P Marino
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,Scuola Normale Superiore, I-56126 Pisa, Italy
| | - K Matera
- University of Illinois, Urbana, IL 61801, USA
| | - M E Mattson
- Wayne State University, Detroit, MI 48201, USA
| | - A Mazzacane
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - P Mazzanti
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy
| | - R McNulty
- University of Liverpool, Liverpool L69 7ZE, UK
| | - A Mehta
- University of Liverpool, Liverpool L69 7ZE, UK
| | - P Mehtala
- Division of High Energy Physics, Department of Physics, University of Helsinki, FIN-00014, Helsinki, Finland.,Helsinki Institute of Physics, FIN-00014, Helsinki, Finland
| | - A Menzione
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy
| | - C Mesropian
- The Rockefeller University, New York, NY 10065, USA
| | - T Miao
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - E Michielin
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova, I-35131 Padova, Italy.,University of Padova, I-35131 Padova, Italy
| | - D Mietlicki
- University of Michigan, Ann Arbor, MI 48109, USA
| | - A Mitra
- Institute of Physics, Academia Sinica, Taipei, Taiwan 11529, Republic of China
| | - H Miyake
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - S Moed
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - N Moggi
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy
| | - C S Moon
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - R Moore
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - M J Morello
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,Scuola Normale Superiore, I-56126 Pisa, Italy
| | - A Mukherjee
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - Th Muller
- Institut für Experimentelle Kernphysik, Karlsruhe Institute of Technology, D-76131 Karlsruhe, Germany
| | - P Murat
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - M Mussini
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy.,University of Bologna, I-40127 Bologna, Italy
| | - J Nachtman
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - Y Nagai
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | | | - I Nakano
- Okayama University, Okayama 700-8530, Japan
| | - A Napier
- Tufts University, Medford, MA 02155, USA
| | - J Nett
- Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - T Nigmanov
- University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - L Nodulman
- Argonne National Laboratory, Argonne, IL 60439, USA
| | - S Y Noh
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - O Norniella
- University of Illinois, Urbana, IL 61801, USA
| | - L Oakes
- University of Oxford, Oxford OX1 3RH, UK
| | - S H Oh
- Duke University, Durham, NC 27708, USA
| | - Y D Oh
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - T Okusawa
- Osaka City University, Osaka 558-8585, Japan
| | - R Orava
- Division of High Energy Physics, Department of Physics, University of Helsinki, FIN-00014, Helsinki, Finland.,Helsinki Institute of Physics, FIN-00014, Helsinki, Finland
| | - L Ortolan
- Institut de Fisica d'Altes Energies, ICREA, Universitat Autonoma de Barcelona, E-08193 Bellaterra (Barcelona), Spain
| | - C Pagliarone
- Istituto Nazionale di Fisica Nucleare Trieste, I-34127 Trieste, Italy
| | - E Palencia
- Instituto de Fisica de Cantabria, CSIC-University of Cantabria, 39005 Santander, Spain
| | - P Palni
- University of New Mexico, Albuquerque, NM 87131, USA
| | - V Papadimitriou
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - W Parker
- University of Wisconsin-Madison, Madison, WI 53706, USA
| | - G Pauletta
- Istituto Nazionale di Fisica Nucleare Trieste, I-34127 Trieste, Italy.,Gruppo Collegato di Udine, I-33100 Udine, Italy.,University of Udine, I-33100 Udine, Italy
| | - M Paulini
- Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - C Paus
- Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | | | - G Piacentino
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - E Pianori
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - J Pilot
- University of California, Davis, Davis, CA 95616, USA
| | - K Pitts
- University of Illinois, Urbana, IL 61801, USA
| | - C Plager
- University of California, Los Angeles, Los Angeles, CA 90024, USA
| | - L Pondrom
- University of Wisconsin-Madison, Madison, WI 53706, USA
| | - S Poprocki
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - K Potamianos
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - A Pranko
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - F Prokoshin
- Joint Institute for Nuclear Research, Dubna RU-141980, Russia
| | - F Ptohos
- Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
| | - G Punzi
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Pisa, I-56126 Pisa, Italy
| | - I Redondo Fernández
- Centro de Investigaciones Energeticas Medioambientales y Tecnologicas, E-28040 Madrid, Spain
| | - P Renton
- University of Oxford, Oxford OX1 3RH, UK
| | - M Rescigno
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma 1, I-00185 Roma, Italy
| | - F Rimondi
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy
| | - L Ristori
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA.,Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy
| | - A Robson
- Glasgow University, Glasgow G12 8QQ, UK
| | - T Rodriguez
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - S Rolli
- Tufts University, Medford, MA 02155, USA
| | - M Ronzani
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Pisa, I-56126 Pisa, Italy
| | - R Roser
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - J L Rosner
- Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA
| | - F Ruffini
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Siena, I-53100 Siena, Italy
| | - A Ruiz
- Instituto de Fisica de Cantabria, CSIC-University of Cantabria, 39005 Santander, Spain
| | - J Russ
- Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - V Rusu
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - W K Sakumoto
- University of Rochester, Rochester, NY 14627, USA
| | | | - L Santi
- Istituto Nazionale di Fisica Nucleare Trieste, I-34127 Trieste, Italy.,Gruppo Collegato di Udine, I-33100 Udine, Italy.,University of Udine, I-33100 Udine, Italy
| | - K Sato
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - V Saveliev
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - A Savoy-Navarro
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - P Schlabach
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - E E Schmidt
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - T Schwarz
- University of Michigan, Ann Arbor, MI 48109, USA
| | - L Scodellaro
- Instituto de Fisica de Cantabria, CSIC-University of Cantabria, 39005 Santander, Spain
| | - F Scuri
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy
| | - S Seidel
- University of New Mexico, Albuquerque, NM 87131, USA
| | - Y Seiya
- Osaka City University, Osaka 558-8585, Japan
| | - A Semenov
- Joint Institute for Nuclear Research, Dubna RU-141980, Russia
| | - F Sforza
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,University of Pisa, I-56126 Pisa, Italy
| | - S Z Shalhout
- University of California, Davis, Davis, CA 95616, USA
| | - T Shears
- University of Liverpool, Liverpool L69 7ZE, UK
| | - P F Shepard
- University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - M Shimojima
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - M Shochet
- Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA
| | - I Shreyber-Tecker
- Institution for Theoretical and Experimental Physics, ITEP, Moscow 117259, Russia
| | - A Simonenko
- Joint Institute for Nuclear Research, Dubna RU-141980, Russia
| | - K Sliwa
- Tufts University, Medford, MA 02155, USA
| | - J R Smith
- University of California, Davis, Davis, CA 95616, USA
| | - F D Snider
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - H Song
- University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - V Sorin
- Institut de Fisica d'Altes Energies, ICREA, Universitat Autonoma de Barcelona, E-08193 Bellaterra (Barcelona), Spain
| | | | - M Stancari
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - D Stentz
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - J Strologas
- University of New Mexico, Albuquerque, NM 87131, USA
| | - Y Sudo
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - A Sukhanov
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - I Suslov
- Joint Institute for Nuclear Research, Dubna RU-141980, Russia
| | - K Takemasa
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - Y Takeuchi
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - J Tang
- Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA
| | - M Tecchio
- University of Michigan, Ann Arbor, MI 48109, USA
| | - P K Teng
- Institute of Physics, Academia Sinica, Taipei, Taiwan 11529, Republic of China
| | - J Thom
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - E Thomson
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - V Thukral
- Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - D Toback
- Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - S Tokar
- Comenius University, 842 48 Bratislava, Slovakia.,Institute of Experimental Physics, 040 01 Kosice, Slovakia
| | - K Tollefson
- Michigan State University, East Lansing, MI 48824, USA
| | - T Tomura
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - S Torre
- Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
| | - D Torretta
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - P Totaro
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova, I-35131 Padova, Italy
| | - M Trovato
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,Scuola Normale Superiore, I-56126 Pisa, Italy
| | - F Ukegawa
- University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - S Uozumi
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - F Vázquez
- University of Florida, Gainesville, FL 32611, USA
| | - G Velev
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - K Vellidis
- National and Kapodistrian University of Athens, 157 71 Athens, Greece
| | - C Vernieri
- Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy.,Scuola Normale Superiore, I-56126 Pisa, Italy
| | - M Vidal
- Purdue University, West Lafayette, IN 47907, USA
| | - R Vilar
- Instituto de Fisica de Cantabria, CSIC-University of Cantabria, 39005 Santander, Spain
| | - J Vizán
- Instituto de Fisica de Cantabria, CSIC-University of Cantabria, 39005 Santander, Spain
| | - M Vogel
- University of New Mexico, Albuquerque, NM 87131, USA
| | - G Volpi
- Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
| | - P Wagner
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - R Wallny
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - S M Wang
- Institute of Physics, Academia Sinica, Taipei, Taiwan 11529, Republic of China
| | - D Waters
- University College London, London WC1E 6BT, UK
| | - W C Wester
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - D Whiteson
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - A B Wicklund
- Argonne National Laboratory, Argonne, IL 60439, USA
| | - S Wilbur
- University of California, Davis, Davis, CA 95616, USA
| | - H H Williams
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - J S Wilson
- University of Michigan, Ann Arbor, MI 48109, USA
| | - P Wilson
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - B L Winer
- The Ohio State University, Columbus, OH 43210, USA
| | - P Wittich
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | | | - T Wright
- University of Michigan, Ann Arbor, MI 48109, USA
| | - X Wu
- University of Geneva, CH-1211 Geneva 4, Switzerland
| | - Z Wu
- Baylor University, Waco, TX 76798, USA
| | - K Yamamoto
- Osaka City University, Osaka 558-8585, Japan
| | - D Yamato
- Osaka City University, Osaka 558-8585, Japan
| | - T Yang
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - U K Yang
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - Y C Yang
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - W-M Yao
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - G P Yeh
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - K Yi
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - J Yoh
- Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
| | - K Yorita
- Waseda University, Tokyo 169, Japan
| | - T Yoshida
- Osaka City University, Osaka 558-8585, Japan
| | - G B Yu
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - I Yu
- Center for High Energy Physics, Kyungpook National University, Daegu 702-701, Korea.,Seoul National University, Seoul 151-742, Korea.,Sungkyunkwan University, Suwon 440-746, Korea.,Korea Institute of Science and Technology Information, Daejeon 305-806, Korea.,Chonnam National University, Gwangju 500-757, Korea.,Chonbuk National University, Jeonju 561-756, Korea.,Ewha Womans University, Seoul 120-750, Korea
| | - A M Zanetti
- Istituto Nazionale di Fisica Nucleare Trieste, I-34127 Trieste, Italy
| | - Y Zeng
- Duke University, Durham, NC 27708, USA
| | - C Zhou
- Duke University, Durham, NC 27708, USA
| | - S Zucchelli
- Istituto Nazionale di Fisica Nucleare Bologna, I-40127 Bologna, Italy.,University of Bologna, I-40127 Bologna, Italy
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Liu L, Bai F, Song H, Xiao R, Wang Y, Yang H, Ren X, Li S, Gao L, Ma C, Yang X, Liang X. Corrigendum to “Upregulation of TIPE1 in tubular epithelial cell aggravates diabetic nephropathy by disrupting PHB2 mediated mitophagy” [Redox Biol. 50 (2022) 2213–2317/102260]. Redox Biol 2022; 52:102302. [PMID: 35365434 PMCID: PMC9108084 DOI: 10.1016/j.redox.2022.102302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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Shenker R, Price J, Jacobs C, Niedzwiecki D, Oyekunle T, Song H, Palta M, Czito B, Kirkpatrick J, Mowery Y, Jr MM, Salama J. Oligometastases Treated With an Elective Simultaneous Integrated Boost Have Reduced Marginal Recurrence Rates. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Ock CY, Song S, Park G, Park C, Cho SI, Shin S, Lim Y, Jung W, Song H, Ryu J, Ma M, Park S, Pereira S, Yoo D, Paeng K. 830 Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes reveals immune-excluded phenotype related to APOBEC signature and clonal evolution of cancer. J Immunother Cancer 2021. [DOI: 10.1136/jitc-2021-sitc2021.830] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
BackgroundLittle is known about bridging clonal heterogeneity into the resistance of immune checkpoint inhibitors (ICI). Recent reports showed that excluded tumor-infiltrating lymphocytes (TIL) into stroma assessed by an artificial intelligence (AI)-powered spatial TIL analyzer, Lunit SCOPE IO, was related to loss-of-heterozygosity of HLA genes which would be one of crucial resistance pathways of ICI.1 In the current study, we hypothesized that Immune-excluded phenotype called by Lunit SCOPE IO would be related to clonal heterogeneity resulted from genome-wide accidents during early carcinogenesis which may cause an improper targeting of TIL for diverse clones with multiple genomic aberrations.MethodsFor spatial TIL analysis, we applied Lunit SCOPE IO1 which automatically detects TIL and segmentizes cancer area and stroma, then it classified Immune phenotype of 1 mm2-sized grid in H&E image. Inflamed score or Immune-excluded score were defined as the proportion of Inflamed phenotype, which is high intra-tumoral TIL density, or Immune-excluded phenotype, which is exclusively high TIL density only in stroma, within a whole-slide image, respectively. We evaluated the correlation of Immune phenotype with APOBEC mutational signature by single-base substitution (SBS) signature 2 and/or SBS13,2 whole-genome doubling, and subclonal genome fraction which reflects intra-tumoral heterogeneity,3 and clusters of T cell receptor (TCR) repertoire 4 derived from previous reports of The Cancer Genome Atlas (TCGA), consists of 7,467 tumor samples from 22 cancer types.Abstract 830 Table 1Correlation between immune phenotype and clonal evolution of cancer [* Median (95% confidence interval)]ResultsIn the TCGA pan-carcinoma database, APOBEC mutational signature was significantly correlated with increased ratio of cancer stroma to cancer epithelium (median 0.866 vs 1.19, fold change +37.4%), and increased TIL density in cancer stroma (median 558 vs 764 / mm2, fold change +36.9%), but it was not correlated with intra-tumoral TIL density (median 63 vs 59 / mm2, fold change -6.3%). Interestingly, Immune-excluded score (IES) called by Lunit SCOPE IO was positively correlated with APOBEC mutational signature as well as expression levels of APOBEC1, APOBEC3A, and APOBEC3B, whole-genome doubling, and subclonal genome fraction, respectively, while Inflamed score (IS) or immune cytolytic activity (GZMA and PRF1 expressions) was negatively or not significantly correlated to those variables (table 1). TCR repertoire was expanded in the tumor samples with high IS (spearman rho = 0.279), but it was not increased in those with high IES (spearman rho = -0.0595).ConclusionsThere is a significant correlation between distinct TIL deposition in stroma, or Immune-excluded phenotype, with APOBEC-attributed clonal expansion of cancer, without proper expansion of TCR repertoire.ReferencesOck CY, Park C, Paeng K, Yoo D, Kim S, Park S, Lee SH, Mok T, Bang YJ. Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes reveals distinct genomic profile of immune excluded phenotype in pan-carcinoma. Cancer Res 2021;81(Supp 13):1908.Alexandrov LB, Kim J, Haradhvala NJ, Huang MN, Tian Ng AW, Wu Y, Boot A, Covington KR, Gordenin DA, Bergstrom EN, Islam SMA, Lopez-Bigas N, Klimczak LJ, McPherson JR, Morganella S, Sabarinathan R, Wheeler DA, Mustonen V, PCAWG Mutational Signatures Working Group, Getz G, Rozen SG, Stratton MR, PCAWG Consortium. The repertoire of mutational signatures in human cancer. Nature 2020;578(7793):94–101.Taylor AM, Shih J, Ha G, Gao GF, Zhang X, Berger AC, Schumacher SE, Wang C, Hu H, Liu J, Lazar AJ, Cancer Genome Atlas Research Network, Cherniack AD, Beroukhim R, Meyerson M. Genomic and functional approaches to understanding cancer aneuploidy. Cancer Cell 2018;33(4):676–689.e3.Zhang H, Liu L, Zhang J, Chen J, Ye J, Shukla S, Qiao J, Zhan X, Chen H, Wu CJ, Fu YX, Li B. Investigation of antigen-specific T-Cell receptor clusters in human cancers. Clin Cancer Res 2020;26(6):1359–1371.
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Song H. Current Status and Prospects of Camrelizumab, A Humanized Antibody Against Programmed Cell Death Receptor 1. Recent Pat Anticancer Drug Discov 2021. [DOI: 10.2174/22123970mte0emdy90] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Gao JD, Song H, Fu P, Guo YX, Zhang HY, Qiu M. Effects of etomidate on cell apoptosis during myocardial ischemia-reperfusion. J BIOL REG HOMEOS AG 2021; 35:10. [PMID: 34350750 DOI: 10.23812/21-si1-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- J D Gao
- Department of Pain, Yantaishan Hospital, Yantai, China
| | - H Song
- Emergency Department, Jinan Zhangqiu District Hospital of TCM, Jinan, China
| | - P Fu
- Department of Anesthesiology, Qingdao Fuwai Cardiovascular Hospital, Qingdao, China
| | - Y X Guo
- Department of Respiratory, Jinan Zhangqiu District People's Hospital, Jinan, China
| | - H Y Zhang
- Department of Pediatrics, Jinan Zhangqiu District People's Hospital, Jinan, China
| | - M Qiu
- Department of Anesthesiology, Jinan Municipal Hospital of Traditional Chinese Medicine, Jinan, China
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Song H, Qu HC, Liu S, Shen XX. MiR-27 inhibits cell migration and invasion by targeting CREB1 to influence MAPK/ERK signaling pathway in breast cancer. J BIOL REG HOMEOS AG 2021; 35:11. [PMID: 34350751 DOI: 10.23812/21-si1-11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- H Song
- Department of Breast surgery, Zhangqiu Maternity and Child Care Hospital, Jinan, China
| | - H C Qu
- Outpatient Operating Room, Zhangqiu Maternity and Child Care Hospital, Jinan, China
| | - S Liu
- Department of Emergency, Zhangqiu Maternity and Child Care Hospital, Jinan, China
| | - X X Shen
- Department of Nursing, Zhangqiu Maternity and Child Care Hospital, Jinan, China
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Li XF, Shi ZD, Song H, Wang YL, Li QC, Diao XH, Pang YW, Zhou SH, Liu HY. Protective effects of L-carnitine on reproductive capacity in rats with diabetes. J Physiol Pharmacol 2021; 72. [PMID: 34272348 DOI: 10.26402/jpp.2021.1.12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 02/26/2021] [Indexed: 11/03/2022]
Abstract
To explore the protective effects of L-carnitine on erectile function and reproductive function in rats with diabetes. A total of 60 male diabetes mellitus induced-erectile dysfunction (DMED) rats were randomly divided into three groups, 20 rats in each group. The blank group was fed normally, the control group was fed with 0.9% sodium chloride solution 5 ml/kg/day, and the experimental group was given L-carnitine 300 mg/kg/day. After six weeks, the Corpus cavernosum penis pressure (ICP) and mean arterial pressure (MAP) were measured. The sperm of epididymis were taken to detect the parameters of sperm. After six weeks of treatment, ICP and MAP in the experimental group were significantly higher than those in the control group and blank group (p < 0.05), and sperm density and PR in the experimental group were significantly higher than those in the control group and the blank group (p < 0.05). Superoxide dismutase (SOD) in the experimental group was significantly higher than that in the control group and blank group (p < 0.05). Malondialdehyde (MDA) in the experimental group was significantly lower than that in the control group and blank group (p < 0.05). The follicle-stimulating hormone (FSH), luteinizing hormone (LH), and testosterone in the experimental group were significantly higher than those in the control group and blank group (p < 0.05). We conclude that L-carnitine can significantly improve erectile function and reproductive function in rats with diabetes and it has great potential in the treatment of systemic organ damage in DMED rats.
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Affiliation(s)
- X-F Li
- Department of Reproductive Medicine, Binzhou Medical University Hospital, Binzhou, China
| | - Z-D Shi
- Department of Urology, The Affiliated School of Clinical Medicine of Xuzhou Medical College, Xuzhou Central Hospital, Xuzhou, China
| | - H Song
- Department of Infectious Disease, The Fourth People Hospital of ZiBo, ZiBo, China
| | - Y-L Wang
- Department of Reproductive Medicine, Binzhou Medical University Hospital, Binzhou, China
| | - Q-C Li
- Department of Reproductive Medicine, Binzhou Medical University Hospital, Binzhou, China
| | - X-H Diao
- Department of Reproductive Medicine, Binzhou Medical University Hospital, Binzhou, China
| | - Y-W Pang
- Department of Reproductive Medicine, Binzhou Medical University Hospital, Binzhou, China
| | - S-H Zhou
- Department of Reproductive Medicine, Binzhou Medical University Hospital, Binzhou, China
| | - H-Y Liu
- Department of Gastroenterology, Binzhou Medical University Hospital, Binzhou, China.
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Song H, Wang X, Li JC, Lv YH. MiR-655-3p inhibits growth and invasiveness of trophoblasts via targeting PBX3 and thus deteriorates preeclampsia. Eur Rev Med Pharmacol Sci 2021; 24:10346-10351. [PMID: 33155190 DOI: 10.26355/eurrev_202010_23383] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The purpose of this study was to elucidate the regulatory effects of microRNA-655-3p (miR-655-3p) on growth and invasiveness of trophoblasts to influence the development of preeclampsia (PE). PATIENTS AND METHODS Relative levels of miR-655-3p and PBX3 in 24 PE pregnant women and 24 healthy ones were examined. Then, the regulatory effects of miR-655-3p and PBX3 on viability and invasiveness in HTR-8/SVneo cells were assessed by Cell Counting Kit-8 (CCK-8) and transwell assay, respectively. Next, the expression levels of apoptosis-associated genes were determined. Finally, the interaction between miR-655-3p and PBX3 was tested by Dual-Luciferase reporter assay. RESULTS MiR-655-3p was upregulated in placental tissues of PE pregnant women than those of healthy ones. The overexpression of miR-655-3p suppressed viability and invasiveness, and induced apoptosis in HTR-8/SVneo cells. Besides, PBX3 was the target gene binding to miR-655-3p, and more importantly, the overexpression of PBX3 partially reversed the regulatory effects of miR-655-3p on viability and invasiveness in HTR-8/SVneo cells. CONCLUSIONS MiR-655-3p is involved in the development of PE by regulating biological features of trophoblasts by targeting PBX3.
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Affiliation(s)
- H Song
- Department of Obstetrics, Binzhou Central Hospital, Binzhou, China.
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Rrapi R, Chand S, Lo JA, Gabel CK, Song S, Holcomb Z, Iriarte C, Moore K, Shi CR, Song H, Xia FD, Yanes D, Gandhi R, Triant VA, Kroshinsky D. The significance of exanthems in COVID-19 patients hospitalized at a tertiary care centre. J Eur Acad Dermatol Venereol 2021; 35:e640-e642. [PMID: 34146347 PMCID: PMC8447347 DOI: 10.1111/jdv.17459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- R Rrapi
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - S Chand
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - J A Lo
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Combined Dermatology Residency, Harvard Medical School, Boston, MA, USA
| | - C K Gabel
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - S Song
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - Z Holcomb
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Combined Dermatology Residency, Harvard Medical School, Boston, MA, USA
| | - C Iriarte
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Combined Dermatology Residency, Harvard Medical School, Boston, MA, USA
| | - K Moore
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Combined Dermatology Residency, Harvard Medical School, Boston, MA, USA
| | - C R Shi
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Combined Dermatology Residency, Harvard Medical School, Boston, MA, USA
| | - H Song
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Combined Dermatology Residency, Harvard Medical School, Boston, MA, USA
| | - F D Xia
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Combined Dermatology Residency, Harvard Medical School, Boston, MA, USA
| | - D Yanes
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Combined Dermatology Residency, Harvard Medical School, Boston, MA, USA
| | - R Gandhi
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - V A Triant
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.,Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - D Kroshinsky
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
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Wang YJ, Zhang HL, Song H, Zhang F, Xi YF. [Research progress on prognostic factors of extranodal NK/T-cell lymphoma]. Zhonghua Bing Li Xue Za Zhi 2021; 50:691-694. [PMID: 34078068 DOI: 10.3760/cma.j.cn112151-20201224-00958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Y J Wang
- School of Basic Medicine, Shanxi Medical University, Taiyuan 030000, China
| | - H L Zhang
- Department of Pathology, Second Medical College of Shanxi Medical University, Taiyuan 030000, China
| | - H Song
- School of Basic Medicine, Shanxi Medical University, Taiyuan 030000, China
| | - F Zhang
- School of Basic Medicine, Shanxi Medical University, Taiyuan 030000, China
| | - Y F Xi
- Department of Pathology, Shanxi Cancer Hospital, Taiyuan 030000, China
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Linggonegoro DW, Song H, Jones KM, Lee PY, Schmidt B, Vleugels RA, Huang JT. Familial chilblain lupus in a child with heterozygous mutation in SAMHD1 and normal interferon signature. Br J Dermatol 2021; 185:650-652. [PMID: 33887057 DOI: 10.1111/bjd.20400] [Citation(s) in RCA: 3] [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] [Received: 12/17/2020] [Revised: 02/10/2021] [Accepted: 04/16/2021] [Indexed: 12/26/2022]
Affiliation(s)
| | - H Song
- Harvard Medical School, Boston, MA, USA.,Harvard Combined Dermatology Residency Program, Boston, MA, USA
| | - K M Jones
- Department of Dermatology, Boston Children's Hospital, Boston, MA, USA
| | - P Y Lee
- Division of Immunology, Boston Children's Hospital, Boston, MA, USA
| | - B Schmidt
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA
| | - R A Vleugels
- Department of Dermatology, Brigham and Women's Hospital, Boston, MA, USA
| | - J T Huang
- Department of Dermatology, Boston Children's Hospital, Boston, MA, USA
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Ortiz C, Bitar R, Garza L, Parker M, Hyman C, Suri R, Song H, Walker J, Lopera J. Abstract No. 171 Validating an ex-vivo bovine kidney pulsatile perfusion model with micro-CT evaluation of distal angioembolization. J Vasc Interv Radiol 2021. [DOI: 10.1016/j.jvir.2021.03.177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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Bitar R, Garza L, Parker M, Ortiz C, Suri R, Lopera J, Song H, Walker J. Abstract No. 130 Evaluation of an experimental radiopaque microsphere in an ex vivo perfusion model. J Vasc Interv Radiol 2021. [DOI: 10.1016/j.jvir.2021.03.136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Song G, Ip K, Shan A, Banov D, Song H, Bassani A, Carvalho M, Day A. 476 Evaluation of the in vitro percutaneous absorption of progesterone, testosterone, estriol and estradiol topical compounded formulations. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Yao L, Yang L, Song H, Liu TG, Yan H. Silencing of lncRNA XIST suppresses proliferation and autophagy and enhances vincristine sensitivity in retinoblastoma cells by sponging miR-204-5p. Eur Rev Med Pharmacol Sci 2021; 24:3526-3537. [PMID: 32329826 DOI: 10.26355/eurrev_202004_20812] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Retinoblastoma (RB) is the most prevalent intraocular malignancy in childhood. Long non-coding RNAs (lncRNAs) have been found as critical oncogenic drivers and tumor suppressor in RB. The aim of the present work was to investigate the impact and mechanism of XIST on RB cell autophagy and vincristine (VCR) sensitivity. MATERIALS AND METHODS The levels of XIST and miR-204-5p were assessed by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR). Western blot analysis was used for the determination of related protein levels. Cell proliferation and IC50 value of VCR were detected using the 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay. Flow cytometry was performed to evaluate cell apoptosis. The activities of caspase-3 and caspase-9 were identified using a corresponding assay kit. The direct interaction between XIST and miR-204-5p was confirmed using Dual-Luciferase reporter assay. Xenograft model was established to observe the effect of XIST on RB in vivo. RESULTS Our data indicated that XIST was highly expressed in RB tissues and cell lines. XIST knockdown weakened the proliferation and autophagy and enhanced VCR sensitivity in RB cells. XIST acted as a molecular sponge of miR-204-5p. Moreover, the regulatory effects of XIST silencing on RB cell proliferation, autophagy and VCR sensitivity were mediated by miR-204-5p. Additionally, XIST silencing weakened tumor growth and enhanced VCR sensitivity in vivo through up-regulating miR-204-5p. CONCLUSIONS Our current study suggested that XIST silencing suppressed RB progression and promoted VCR sensitivity in vitro and in vivo at least partially by acting as a miR-204-5p sponge, highlighting a powerful therapeutic strategy for RB treatment.
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Affiliation(s)
- L Yao
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China.
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Xu XZ, Song H, Zhao Y, Zhang L. MiR-654-5p regulated cell progression and tumor growth through targeting SIRT6 in osteosarcoma. Eur Rev Med Pharmacol Sci 2021; 24:3517-3525. [PMID: 32329825 DOI: 10.26355/eurrev_202004_20811] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE MiRNAs are important regulators in cell progression, tumor formation, and development. The poor prognosis and high incidence of osteosarcoma are difficult to treat. Therefore, studying the mechanism of OS progression is conducive to the diagnosis and treatment of OS. However, the role of miRNA in OS progression has not been fully explored. MATERIALS AND METHODS The expression of miR-654-5p and SIRT6 was detected using qRT-PCR. Western blot was applied to measure the protein expression of SIRT6. Transfected cells proliferation was measured using MTT assay. Transwell was performed to assess cell migrated and invasive capacity. Animals experiment was used to verify the regulatory mechanism of miR-654-5p in OS. RESULTS In this study, we found that miR-654-3p was downregulated while SIRT6 expression was upregulated in OS tissues and cells. Meanwhile, the overexpression of miR-654-5p suppressed cell proliferation, invasion, and migration in OS cells. Otherwise, Luciferase reporter assay determined that SIRT6 was a target gene of miR-654-5p. Notably, the promotion effect of anti-miR-654-5p on cell proliferation, migration, and invasion was reversed by inhibition of SIRT6 in OS. Moreover, the promotion of miR-654-5p inhibited OS tumor growth in vivo. CONCLUSIONS MiR-654-5p regulated cell progression and tumor growth by targeting SIRT6 in OS, providing a new therapeutic target for OS.
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Affiliation(s)
- X-Z Xu
- Department of Emergency Surgery, Yantai Affiliated Hospital of Binzhou Medical University, Yantai City, Shandong Province, China.
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