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Lee KS, Choi E, Cho SI, Park S, Ryu J, Puche AV, Ma M, Park J, Jung W, Ro J, Kim S, Park G, Song S, Ock CY, Choe G, Park JH. An artificial intelligence-powered PD-L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability. Histopathology 2024. [PMID: 38477366 DOI: 10.1111/his.15176] [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: 12/08/2023] [Revised: 02/20/2024] [Accepted: 02/29/2024] [Indexed: 03/14/2024]
Abstract
AIMS Immune checkpoint inhibitors targeting programmed death-ligand 1 (PD-L1) have shown promising clinical outcomes in urothelial carcinoma (UC). The combined positive score (CPS) quantifies PD-L1 22C3 expression in UC, but it can vary between pathologists due to the consideration of both immune and tumour cell positivity. METHODS AND RESULTS An artificial intelligence (AI)-powered PD-L1 CPS analyser was developed using 1,275,907 cells and 6175.42 mm2 of tissue annotated by pathologists, extracted from 400 PD-L1 22C3-stained whole slide images of UC. We validated the AI model on 543 UC PD-L1 22C3 cases collected from three institutions. There were 446 cases (82.1%) where the CPS results (CPS ≥10 or <10) were in complete agreement between three pathologists, and 486 cases (89.5%) where the AI-powered CPS results matched the consensus of two or more pathologists. In the pathologist's assessment of the CPS, statistically significant differences were noted depending on the source hospital (P = 0.003). Three pathologists reevaluated discrepancy cases with AI-powered CPS results. After using the AI as a guide and revising, the complete agreement increased to 93.9%. The AI model contributed to improving the concordance between pathologists across various factors including hospital, specimen type, pathologic T stage, histologic subtypes, and dominant PD-L1-positive cell type. In the revised results, the evaluation discordance among slides from different hospitals was mitigated. CONCLUSION This study suggests that AI models can help pathologists to reduce discrepancies between pathologists in quantifying immunohistochemistry including PD-L1 22C3 CPS, especially when evaluating data from different institutions, such as in a telepathology setting.
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Affiliation(s)
- Kyu Sang Lee
- Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Republic of Korea
| | - Euno Choi
- Department of Pathology, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea
| | | | | | | | | | | | | | | | | | | | | | | | | | - Gheeyoung Choe
- Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Republic of Korea
| | - Jeong Hwan Park
- Department of Pathology, SMG-SNU Boramae Medical Center, Seoul National 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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Muhunthan P, Li H, Vignat G, Toro ER, Younes K, Sun Y, Sokaras D, Weiss T, Rajkovic I, Osaka T, Inoue I, Song S, Sato T, Zhu D, Fulton JL, Ihme M. A versatile pressure-cell design for studying ultrafast molecular-dynamics in supercritical fluids using coherent multi-pulse x-ray scattering. Rev Sci Instrum 2024; 95:013901. [PMID: 38170817 PMCID: PMC10771079 DOI: 10.1063/5.0158497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 11/24/2023] [Indexed: 01/05/2024]
Abstract
Supercritical fluids (SCFs) can be found in a variety of environmental and industrial processes. They exhibit an anomalous thermodynamic behavior, which originates from their fluctuating heterogeneous micro-structure. Characterizing the dynamics of these fluids at high temperature and high pressure with nanometer spatial and picosecond temporal resolution has been very challenging. The advent of hard x-ray free electron lasers has enabled the development of novel multi-pulse ultrafast x-ray scattering techniques, such as x-ray photon correlation spectroscopy (XPCS) and x-ray pump x-ray probe (XPXP). These techniques offer new opportunities for resolving the ultrafast microscopic behavior in SCFs at unprecedented spatiotemporal resolution, unraveling the dynamics of their micro-structure. However, harnessing these capabilities requires a bespoke high-pressure and high-temperature sample system that is optimized to maximize signal intensity and address instrument-specific challenges, such as drift in beamline components, x-ray scattering background, and multi-x-ray-beam overlap. We present a pressure cell compatible with a wide range of SCFs with built-in optical access for XPCS and XPXP and discuss critical aspects of the pressure cell design, with a particular focus on the design optimization for XPCS.
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Affiliation(s)
- Priyanka Muhunthan
- Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA
| | - Haoyuan Li
- Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA
| | - Guillaume Vignat
- Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA
| | - Edna R. Toro
- Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA
| | - Khaled Younes
- Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA
| | - Yanwen Sun
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | | | - Thomas Weiss
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Ivan Rajkovic
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Taito Osaka
- RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Ichiro Inoue
- RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Sanghoon Song
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Takahiro Sato
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Diling Zhu
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - John L. Fulton
- Chemical and Materials Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, USA
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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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Koo BS, Park SY, Jang YS, Woo YH, Song S, Yoo JH, Kim MG, Chung JW, Kim SH, Cho HB. Effect of glycopyrrolate on the postoperative urine output of patients following kidney transplantation: a retrospective observational study. J Int Med Res 2023; 51:3000605231202144. [PMID: 37795584 PMCID: PMC10557416 DOI: 10.1177/03000605231202144] [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: 03/20/2023] [Accepted: 08/30/2023] [Indexed: 10/06/2023] Open
Abstract
OBJECTIVES To compare the urine output and estimated glomerular filtration rate (eGFR) of patients postoperatively administered sugammadex or glycopyrrolate 7 days following kidney transplantation (KT). METHODS We retrospectively enrolled 134 consecutive patients who underwent KT under general anesthesia. Their urine output and eGFR were recorded every 24 hours between postoperative day (POD) 1 and 7. We used regression analysis to evaluate the relationship between the reversal agent administered and the outcomes of the participants. RESULTS The urine output and eGFR of the participants did not differ between the two groups. Multivariate analysis showed that body mass index (BMI) (odds ratio (OR) 1.21; 95% confidence interval (CI) 1.05-1.40), diabetes mellitus (OR 3.14; 95% CI 1.07-9.16), neurovascular disease (OR 7.00; 95% CI 1.61-30.42), and the duration of surgery (OR 1.01; 95% CI 1.00-1.01) were associated with lower urine output on POD 7. In addition, only BMI (OR 1.25; 95% CI 1.09-1.42) was associated with low eGFR on POD 7. CONCLUSIONS The urine output and eGFR of patients administered sugammadex or glycopyrrolate following KT did not differ 7 days later. Moreover, glycopyrrolate does not affect urine output or eGFR on POD 7, according to multivariate regression analysis.
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Affiliation(s)
- Bon Sung Koo
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Bucheon, Bucheon, Republic of Korea
| | - Sun Young Park
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Republic of Korea
| | - Youn Sil Jang
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Republic of Korea
| | - Young Hoon Woo
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Bucheon, Bucheon, Republic of Korea
| | - Sanghoon Song
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Republic of Korea
| | - Jae Hwa Yoo
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Republic of Korea
| | - Mun Gyu Kim
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Republic of Korea
| | - Ji Won Chung
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Republic of Korea
| | - Sang Ho Kim
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Republic of Korea
| | - Ho Bum Cho
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Republic of Korea
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Peters WK, Feltman J, Jones T, Song S, Chollet M, Robinson J, Padmanabhan P, Foglia L, Bencivenga F, Coffee R, Bowlan P. Hard x-ray - optical four-wave mixing using a split-and-delay line. Opt Express 2023; 31:31410-31418. [PMID: 37710661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Abstract
New, hard x-ray free electron lasers (FEL) produce intense femtosecond-to-attosecond pulses at angstrom wavelengths, giving access to the fundamental spatial and temporal scales of matter. These revolutionary light sources open the door to applying the suite of nonlinear, optical spectroscopy methods at hard x-ray photon energies. Nonlinear spectroscopy with hard x-rays can allow for measuring the coherence properties of short wavelength excitations with atomic specificity and for understanding how high energy excitations couple to other degrees of freedom in atomic, molecular or condensed-phase systems. As a step in this direction, here we present hard x-ray, optical four-wave mixing (4WM) measurements done at 9.8 keV at the split-and-delay line at the x-ray correlation spectroscopy (XCS) hutch of the Linac Coherent Light Source (LCLS). In this work, we create an x-ray transient grating (TG) from a pair of crossing x-ray beams and diffract optical laser pulses at 400 nm from the TG. The key technical advance here is being able to independently vary the delays of the x-ray pulses. Measurements were made in 3 different solid samples: bismuth germinate (BGO), zinc oxide (ZnO) and yttrium aluminum garnet (YAG). The resulting phase-matched, 4WM signal is measured in two different ways: by varying the x-ray, x-ray pulse delay which can reveal both material and light source coherence properties and also by varying the optical laser delay with respect to the x-ray TG to study how the x-ray excitation couples to the optical properties. Although no coherent 4WM signal was seen in these measurements, the absence of this signal gives important information on experimental requirements for detecting this in future work. Also, our laser-delay scans, although not a new measurement, were applied to different materials than in past work and reveal new examples x-ray induced lattice dynamics in solids. This work represents a key step towards extending nonlinear optics and time-resolved spectroscopy into the hard x-ray regime.
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Nam M, Yang W, Kim HS, Park J, Park G, Kim S, Song S, Ock CY, Wang VG, Chuang JH, Chae YK. Papillary thyroid cancer immune phenotypes via tumor-infiltrating lymphocyte spatial analysis. Endocr Relat Cancer 2023; 30:e230110. [PMID: 37279258 DOI: 10.1530/erc-23-0110] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 06/06/2023] [Indexed: 06/08/2023]
Abstract
Standard-of-care treatment options provide an excellent prognosis for papillary thyroid cancers (PTCs); however, approximately 10% of cases are advanced PTCs, resulting in less than 50% 5-year survival rates. Understanding the tumor microenvironment is essential for understanding cancer progression and investigating potential biomarkers for treatment, such as immunotherapy. Our study focused on tumor-infiltrating lymphocytes (TILs), which are the main effectors of antitumor immunity and related to the mechanism of immunotherapy. Using an artificial intelligence model, we analyzed the density of intratumoral and peritumoral TILs in the pathologic slides of The Cancer Genome Atlas PTC cohort. Tumors were classified into three immune phenotypes (IPs) based on the spatial distribution of TILs: immune-desert (48%), immune-excluded (34%), and inflamed (18%). Immune-desert IP was mostly characterized by RAS mutations, high thyroid differentiation score, and low antitumor immune response. Immune-excluded IP predominantly consisted of BRAF V600E-mutated tumors and had a higher rate of lymph node metastasis. Inflamed IP was characterized by a high antitumor immune response, as demonstrated by a high cytolytic score, immune-related cell infiltrations, expression of immunomodulatory molecules (including immunotherapy target molecules), and enrichment of immune-related pathways. This study is the first to investigate IP classification using TILs in PTC through a tissue-based approach. Each IP had unique immune and genomic profiles. Further studies are warranted to assess the predictive value of IP classification in advanced PTC patients treated with immunotherapy.
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Affiliation(s)
- Myungwoo Nam
- Department of Medicine, Lincoln Medical and Mental Health Center, Bronx, New York, USA
| | - Woojung Yang
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Hye Sung Kim
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jewel Park
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Gahee Park
- Lunit Inc, Oncology group, Seoul, Republic of Korea
| | - Sukjun Kim
- Lunit Inc, Oncology group, Seoul, Republic of Korea
| | | | | | - Victor G Wang
- Department of Genetics and Genome Sciences, UConn Health, Farmington, Connecticut, USA
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - Jeffrey H Chuang
- Department of Genetics and Genome Sciences, UConn Health, Farmington, Connecticut, USA
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - Young Kwang Chae
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, Illinois, USA
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Zong X, Ding Q, Liu X, Liu Q, Song S, Yan X, Zhang Y. Preventive Effect of 6-shogaol on D-galactosamine Induced Hepatotoxicity Through NF-?B/MAPK Signaling Pathway in Rats. Physiol Res 2023; 72:445-454. [PMID: 37795887 PMCID: PMC10634558 DOI: 10.33549/physiolres.935092] [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: 03/03/2023] [Accepted: 04/19/2023] [Indexed: 01/05/2024] Open
Abstract
This analysis aims to see whether 6-shogaol could protect rats against D-galactosamine (D-GalN)-induced Hepatotoxicity. The Wistar rats were divided into four groups (n=6). Group 1 received a standard diet, Group 2 received an oral administration of 6-shogaol (20 mg/kg b.wt), Group 3 received an intraperitoneal injection of D-GalN (400 mg/kg b.wt) on 21st day, and Group 4 received an oral administration of 6-shogaol (20mg/kg b.wt) for 21 days and D-GalN (400 mg/kg b.wt) injection only on 21st day. The hepatic marker enzymes activity, lipid peroxidative markers level increased significantly and antioxidant activity/level significantly reduced in D-GalN-induced rats. 6-shogaol Pretreatment effectively improves the above changes in D-GalN-induced rats. Further, inflammatory marker expression and MAPK signaling molecules were downregulated by 6-shogaol. These findings showed that 6-shogaol exerts hepatoprotective effects via the enhanced antioxidant system and attenuated the inflammation and MAPK signaling pathway in D-GalN-induced rats.
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Affiliation(s)
- X Zong
- Department of Clinical Laboratory, Baoding First Central Hospital, Baoding, Hebei province, China.
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Choi S, Cho SI, Jung W, Lee T, Choi SJ, Song S, Park G, Park S, Ma M, Pereira S, Yoo D, Shin S, Ock CY, Kim S. Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer. NPJ Breast Cancer 2023; 9:71. [PMID: 37648694 PMCID: PMC10469174 DOI: 10.1038/s41523-023-00577-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 08/17/2023] [Indexed: 09/01/2023] Open
Abstract
Tumor-infiltrating lymphocytes (TILs) have been recognized as key players in the tumor microenvironment of breast cancer, but substantial interobserver variability among pathologists has impeded its utility as a biomarker. We developed a deep learning (DL)-based TIL analyzer to evaluate stromal TILs (sTILs) in breast cancer. Three pathologists evaluated 402 whole slide images of breast cancer and interpreted the sTIL scores. A standalone performance of the DL model was evaluated in the 210 cases (52.2%) exhibiting sTIL score differences of less than 10 percentage points, yielding a concordance correlation coefficient of 0.755 (95% confidence interval [CI], 0.693-0.805) in comparison to the pathologists' scores. For the 226 slides (56.2%) showing a 10 percentage points or greater variance between pathologists and the DL model, revisions were made. The number of discordant cases was reduced to 116 (28.9%) with the DL assistance (p < 0.001). The DL assistance also increased the concordance correlation coefficient of the sTIL score among every two pathologists. In triple-negative and human epidermal growth factor receptor 2 (HER2)-positive breast cancer patients who underwent the neoadjuvant chemotherapy, the DL-assisted revision notably accentuated higher sTIL scores in responders (26.8 ± 19.6 vs. 19.0 ± 16.4, p = 0.003). Furthermore, the DL-assistant revision disclosed the correlation of sTIL-high tumors (sTIL ≥ 50) with the chemotherapeutic response (odd ratio 1.28 [95% confidence interval, 1.01-1.63], p = 0.039). Through enhancing inter-pathologist concordance in sTIL interpretation and predicting neoadjuvant chemotherapy response, here we report the utility of the DL-based tool as a reference for sTIL scoring in breast cancer assessment.
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Affiliation(s)
- Sangjoon Choi
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | | | | | | | - Su Jin Choi
- Department of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea
| | | | | | | | - Minuk Ma
- Lunit Inc, Seoul, Republic of Korea
| | | | | | | | | | - Seokhwi Kim
- Department of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea.
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea.
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11
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Nguyen QL, Duncan RA, Orenstein G, Huang Y, Krapivin V, de la Peña G, Ornelas-Skarin C, Reis DA, Abbamonte P, Bettler S, Chollet M, Hoffmann MC, Hurley M, Kim S, Kirchmann PS, Kubota Y, Mahmood F, Miller A, Osaka T, Qu K, Sato T, Shoemaker DP, Sirica N, Song S, Stanton J, Teitelbaum SW, Tilton SE, Togashi T, Zhu D, Trigo M. Ultrafast X-Ray Scattering Reveals Composite Amplitude Collective Mode in the Weyl Charge Density Wave Material (TaSe_{4})_{2}I. Phys Rev Lett 2023; 131:076901. [PMID: 37656841 DOI: 10.1103/physrevlett.131.076901] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 06/12/2023] [Accepted: 07/17/2023] [Indexed: 09/03/2023]
Abstract
We report ultrafast x-ray scattering experiments of the quasi-1D charge density wave (CDW) material (TaSe_{4})_{2}I following ultrafast infrared photoexcitation. From the time-dependent diffraction signal at the CDW sidebands we identify a 0.11 THz amplitude mode derived primarily from a transverse acoustic mode of the high-symmetry structure. From our measurements we determine that this mode interacts with the valence charge indirectly through another collective mode, and that the CDW system in (TaSe_{4})_{2}I has a composite nature supporting multiple dynamically active structural degrees of freedom.
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Affiliation(s)
- Quynh L Nguyen
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Ryan A Duncan
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Gal Orenstein
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Yijing Huang
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Department of Applied Physics, Stanford University, Stanford, California 94305, USA
| | - Viktor Krapivin
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Department of Applied Physics, Stanford University, Stanford, California 94305, USA
| | - Gilberto de la Peña
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Chance Ornelas-Skarin
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Department of Applied Physics, Stanford University, Stanford, California 94305, USA
| | - David A Reis
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Department of Applied Physics, Stanford University, Stanford, California 94305, USA
- Department of Photon Science, Stanford University, Stanford, California 94305, USA
| | - Peter Abbamonte
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Simon Bettler
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Matthieu Chollet
- Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Matthias C Hoffmann
- Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Matthew Hurley
- Department of Physics, Arizona State University, Tempe, Arizona 85281, USA
| | - Soyeun Kim
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Patrick S Kirchmann
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Yuya Kubota
- RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Fahad Mahmood
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Alexander Miller
- Department of Physics, Arizona State University, Tempe, Arizona 85281, USA
| | - Taito Osaka
- RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Kejian Qu
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Takahiro Sato
- Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Daniel P Shoemaker
- Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Nicholas Sirica
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - Sanghoon Song
- Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Jade Stanton
- Department of Physics, Arizona State University, Tempe, Arizona 85281, USA
| | | | - Sean E Tilton
- Department of Physics, Arizona State University, Tempe, Arizona 85281, USA
| | - Tadashi Togashi
- RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
- Japan Synchrotron Radiation Research Institute, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5198, Japan
| | - Diling Zhu
- Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Mariano Trigo
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
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12
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Ha JU, Bae SH, Choi YJ, Lee PC, Jeoung SK, Song S, Choi C, Lee JS, Kim J, Han IS. Control of Tire Wear Particulate Matter through Tire Tread Prescription. Polymers (Basel) 2023; 15:2795. [PMID: 37447442 DOI: 10.3390/polym15132795] [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: 05/15/2023] [Revised: 06/15/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
This study aims to analyze tire wear particulate matter (TWP) from tread rubber with different formulations and to compare the concentration of TWP with different wear devices. The TWP generated during the abrasion of truck and bus radial (TBR) tires were examined, and the effect of using different types of rubber and carbon black (CB) were investigated. When natural rubber (NR) was solely used as the tire tread rubber material, there was a higher concentration of 5-10 µm TWP. However, when the tread formulation consisted of NR mixed with butadiene rubber, the TWP concentration decreased. Changing the type of CB also reduced the amount of TWP in the 2.5 µm size range. The TWP concentration in the specimens increased with increasing speed and vertical load. The TWP generated during the abrasion tests using wear testers and tire simulators exhibited similar trends. These findings suggest that modifying tire tread formulations can effectively control the distribution and amount of TWP generation.
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Affiliation(s)
- Jin U Ha
- Chassis & Materials Research Laboratory, Korea Automotive Technology Institute, Cheonan-si 31214, Republic of Korea
| | - Seok H Bae
- Chassis & Materials Research Laboratory, Korea Automotive Technology Institute, Cheonan-si 31214, Republic of Korea
| | - Yu J Choi
- Chassis & Materials Research Laboratory, Korea Automotive Technology Institute, Cheonan-si 31214, Republic of Korea
| | - Pyoung-Chan Lee
- Chassis & Materials Research Laboratory, Korea Automotive Technology Institute, Cheonan-si 31214, Republic of Korea
| | - Sun K Jeoung
- Chassis & Materials Research Laboratory, Korea Automotive Technology Institute, Cheonan-si 31214, Republic of Korea
| | - Sanghoon Song
- School of Chemical Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Choong Choi
- R&D Department, Hankook Tire & Technology, Daejeon 34127, Republic of Korea
| | - Jae S Lee
- R&D Department, OCI, Sungnam-si 13212, Republic of Korea
| | - Jaeyun Kim
- R&D Department, Kumho Petrochemical, Daejeon 34044, Republic of Korea
| | - In S Han
- Interior & Exterior Materials Development Team, Hwaseong-si 18280, Republic of Korea
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13
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Zhao W, Song S, Yan HF. [Determination of misoprostol in workplace air by high performance liquid chromatography]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:457-460. [PMID: 37400409 DOI: 10.3760/cma.j.cn121094-20220424-00218] [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: 07/05/2023]
Abstract
Objective: To establish a high performance liquid chromatography method for the determination of misoprostol in workplace air. Methods: From February to August 2021, the misoprostol in the workplace air was collected by glass fiber filter membrane, and theeluent was separated by C18 liquid chromatography column, determined by UV detector, and quantified by external standard method. Results: The quantitative lower limit of misoprostol determination method was 0.05 μg/ml, and the lowest quantitative concentration was 1.4 μg/m(3) (calculated by collecting 75 L air sample). The concentration of misoprostol has a good linear relationship between 0.05 to 10.00 μg/ml. The relative coefficient was 0.9998. The regression equation of the standard working curve was y=495759x-45257. The range of average recovery rates were from 95.5% to 102.8%. The intra-assay precision of the method was 1.2%-4.6%, and the inter-assay precision was 2.0%-5.9%. The samples could be stored stably for 7 days at 4 ℃. Conclusion: The high performance liquid chromatography method for the determination of misoprostol has high sensitivity, good specificity and simple procedure of sample pretreatment. It is suitable for the detection of misoprostol in the workplace air.
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Affiliation(s)
- W Zhao
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - S Song
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - H F Yan
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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14
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Song S, Choi H, Jeong J, Kim S, Kwon M, Kim M, Kim D, Jeon H, Paik HJ, Chung S, Kim W. Optimized End Functionality of Silane-Terminated Liquid Butadiene Rubber for Silica-Filled Rubber Compounds. Polymers (Basel) 2023; 15:2583. [PMID: 37376229 DOI: 10.3390/polym15122583] [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: 05/09/2023] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
As the world is shifting from internal combustion engine vehicles to electric vehicles in response to environmental pollution, the tire industry has been conducting research on tire performance to meet the requirements of electric vehicles. In this experiment, functionalized liquid butadiene rubber (F-LqBR) with triethoxysilyl groups at both ends was introduced into a silica-filled rubber compound as a substitute for treated distillate aromatic extract (TDAE) oil, and comparative evaluation was conducted according to the number of triethoxysilyl groups. The results showed that F-LqBRs improved silica dispersion in the rubber matrix through the formation of chemical bonds between silanol groups and the base rubber, and reduced rolling resistance by limiting chain end mobility and improving filler-rubber interaction. However, when the number of triethoxysilyl groups in F-LqBR was increased from two to four, self-condensation increased, the reactivity of the silanol groups decreased, and the improvement of properties was reduced. As a result, the optimized end functionality of triethoxysilyl groups for F-LqBR in silica-filled rubber compound was two. The 2-Azo-LqBR with the optimized functionality showed an improvement of 10% in rolling resistance, 16% in snow traction, and 17% in abrasion resistance when 10 phr of TDAE oil was substituted.
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Affiliation(s)
- Sanghoon Song
- School of Chemical Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Haeun Choi
- Department of Polymer Science and Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Junhwan Jeong
- School of Chemical and Biomolecular Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Seongyoon Kim
- Department of Polymer Science and Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Myeonghee Kwon
- Department of Chemistry, Kwangwoon University, Seoul 139-701, Republic of Korea
| | - Minji Kim
- Department of Chemistry, Kwangwoon University, Seoul 139-701, Republic of Korea
| | - Donghyuk Kim
- Hankook Tire & Technology Co., Ltd., R&D Center, 50 Yuseong-daero 935beon-gil, Daejeon 34127, Republic of Korea
| | - Heungbae Jeon
- Department of Chemistry, Kwangwoon University, Seoul 139-701, Republic of Korea
| | - Hyun-Jong Paik
- Department of Polymer Science and Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Sungwook Chung
- School of Chemical Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Wonho Kim
- School of Chemical Engineering, Pusan National University, Busan 46241, Republic of Korea
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15
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Jiang C, Yuan Y, Gu B, Ahn E, Kim J, Feng D, Huang Q, Song S. Preoperative prediction of microvascular invasion and perineural invasion in pancreatic ductal adenocarcinoma with 18F-FDG PET/CT radiomics analysis. Clin Radiol 2023:S0009-9260(23)00219-2. [PMID: 37365115 DOI: 10.1016/j.crad.2023.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 04/23/2023] [Accepted: 05/13/2023] [Indexed: 06/28/2023]
Abstract
AIM To develop and validate a predictive model based on 2-[18F]-fluoro-2-deoxy-d-glucose (18F-FDG) positron-emission tomography (PET)/computed tomography (CT) radiomics features and clinicopathological parameters to preoperatively identify microvascular invasion (MVI) and perineural invasion (PNI), which are important predictors of poor prognosis in patients with pancreatic ductal adenocarcinoma (PDAC). MATERIALS AND METHODS Preoperative 18F-FDG PET/CT images and clinicopathological parameters of 170 patients in PDAC were collected retrospectively. The whole tumour and its peritumoural variants (tumour dilated with 3, 5, and 10 mm pixels) were applied to add tumour periphery information. A feature-selection algorithm was employed to mine mono-modality and fused feature subsets, then conducted binary classification using gradient boosted decision trees. RESULTS For MVI prediction, the model performed best on a fused subset of 18F-FDG PET/CT radiomics features and two clinicopathological parameters, with an area under the receiver operating characteristic curve (AUC) of 83.08%, accuracy of 78.82%, recall of 75.08%, precision of 75.5%, and F1-score of 74.59%. For PNI prediction, the model achieved best prediction results only on the subset of PET/CT radiomics features, with AUC of 94%, accuracy of 89.33%, recall of 90%, precision of 87.81%, and F1 score of 88.35%. In both models, 3 mm dilation on the tumour volume produced the best results. CONCLUSIONS The radiomics predictors from preoperative 18F-FDG PET/CT imaging exhibited instructive predictive efficacy in the identification of MVI and PNI status preoperatively in PDAC. Peritumoural information was shown to assist in MVI and PNI predictions.
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Affiliation(s)
- C Jiang
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Nuclear Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Y Yuan
- Biomedical and Multimedia Information Technology Research Group, School of Computer Science, University of Sydney, Sydney, Australia
| | - B Gu
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - E Ahn
- Discipline of Information Technology, College of Science & Engineering, James Cook University, Australia
| | - J Kim
- Biomedical and Multimedia Information Technology Research Group, School of Computer Science, University of Sydney, Sydney, Australia
| | - D Feng
- Biomedical and Multimedia Information Technology Research Group, School of Computer Science, University of Sydney, Sydney, Australia
| | - Q Huang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - S Song
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.
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16
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Yang J, Liu Z, Guo H, Reheman Z, Ye J, Song S, Wang N, Nie W, Nie J. Prevalence and influencing factors of anaemia among pregnant women in rural areas of Northwestern China. Public Health 2023; 220:50-56. [PMID: 37269588 DOI: 10.1016/j.puhe.2023.04.024] [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: 06/07/2022] [Revised: 03/22/2023] [Accepted: 04/26/2023] [Indexed: 06/05/2023]
Abstract
OBJECTIVES Anaemia during pregnancy is a significant public health problem that adversely impacts both the mother and foetus. However, the factors influencing maternal anaemia in deprived areas of Northwestern China have not yet been thoroughly investigated. This study aimed to describe the prevalence and potential influencing factors of anaemia among expectant mothers in rural areas of Northwestern China. STUDY DESIGN This was a cross-sectional survey. METHODS A cross-sectional survey of 586 expectant mothers was conducted to investigate the prevalence of anaemia, prenatal healthcare coverage, dietary diversity and nutrient supplementation intake. The study population was selected from the sample areas using a random sampling method. Data were collected through a questionnaire, and haemoglobin concentrations were measured by a capillary blood test. RESULTS The results show that 34.8% of the study population were anaemic, with 13% having moderate-to-severe anaemia. The results of the regression analysis showed that diet was not significantly associated with haemoglobin concentrations or the prevalence of anaemia. However, regular prenatal healthcare attendance was found to be an important influencing factor for both haemoglobin concentration (β = 3.67, P = 0.002) and the prevalence of anaemia (odds ratio = 0.59, P = 0.011). CONCLUSIONS Pregnant women receiving regular prenatal care were less likely to be anaemic; thus, it is essential to implement strategies to improve attendance at maternal public health services to reduce the prevalence of maternal anaemia.
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Affiliation(s)
- J Yang
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - Z Liu
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - H Guo
- School of Philosophy and Government, Shaanxi Normal University, Xian, China.
| | - Z Reheman
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - J Ye
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - S Song
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - N Wang
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - W Nie
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - J Nie
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
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17
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Cao ZJ, Liu Y, Li J, Zeng Z, Song S, Qin W. First Report of Cobweb Disease in Auricularia cornea var. Li. Caused by Hypomyces mycophilus in China. Plant Dis 2023. [PMID: 37261877 DOI: 10.1094/pdis-09-22-2214-pdn] [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: 06/02/2023]
Abstract
Auricularia cornea var. Li. is a natural mutation strain of A. cornea which has been preferred by consumers for its white colour, good taste and pharmacological properties (Rebecca et al. 2020). In October 2021, a disease with symptoms similar to that of cobweb disease (Carrasco et al. 2017) was observed in A. cornea var. Li. in four mushroom farms in Fangshan District (115.83°E, 39.55°N), Beijing, China, infecting 20% of the fruiting bodies (Fig. 1A-D). White cottony mycelia formed typically on the casing soil and they gradually spread to the stipes and pileus, covering the whole fruiting body, which eventually died and lost commodity value. Cultures were obtained by aseptically transferring the diseased fruiting bodies onto potato dextrose agar (PDA); they were deposited in the culture collection (ID: JZBQA3) of the Beijing Academy of Agriculture and Forestry Sciences, China. The colonies were floccose with aerial mycelium white. Purplish grey diffusing pigments occasionally formed on the reverse side of the plate at 25 °C (Fig. 2A-B). Conidiophores arising in aerial mycelium, indefinite in length, branches septate, each cell producing denticulate conidiogenous loci, each denticle bearing a single conidium. Conidia mostly oblong to ellipsoidal, smooth, (9.0-)9.9-17.0(-18.0)×(6.0-)6.9-10.2 μm (n = 60), 0~1 septate (Fig. 2C-E). Chlamydospores forming as lateral branches of hyphae were commonly observed, globose, ellipsoid or oblong, 14.8-22×14.7-19.6 μm, l/w = 1.0-1.3 (Fig. 2F-G). The morphological characteristics were consistent with that of Hypomyces mycophilus, whose anamorph was Cladobotryum polypori (Rogerson et al. 1993, Zeng et al. 2017). For further species identification, genomic DNA was extracted using the DNeasy Plant Mini Kit (Qiagen, USA). The internal transcribed spacer (ITS) regions and large subunit ribosomal RNA (LSU) genes were amplified using the primer pairs ITS1/ITS4 (White et al. 1990) and LROR/LR5 (Bhattacharya et al. 2000), respectively. The sequences were deposited in GenBank with accession numbers OP430530 and OP430531. BLAST nucleotide searches showed more than 99% homology with corresponding sequences of Hypomyces mycophilus HMAS 275554 and CBS 175.56. Phylogenetic trees based on ITS and LSU revealed that the strain JZBQA3 was grouped with H. mycophilus with high support value (Fig. 3). A in vivo pathogenicity test was performed using eight mushroom sticks with healthy fruiting bodies in triplicate. Each four sticks were sprayed with conidial suspension (108 spores/mL) of strain JZBQA3 or sterile distilled water, respectively, and maintained in an artificial climate chamber at 25-26°C. Cobweb-like characteristics were observed on the fruiting bodies treated with the JZBQA3 conidial suspension 2-3 days after inoculation, while those treated with sterile distilled water remained symptomless (Fig. 4 A-B). The same pathogen was re-isolated and confirmed from the infected fruiting bodies by integrated analysis of morphological characteristics and gene sequencing data, fulfilling Koch's postulates. Hypomyces mycophilus was first reported on Trametes versicolor in North Carolina (Rogerson et al. 1993), and is the causal agent of cobweb diseases on Auricularia heimuer (Zhang et al. 2023). To our knowledge, this is the first report of cobweb disease caused by H. mycophilus in A. cornea var. Li. This finding is a valuable contribution to the knowledge of cobweb disease development in edible fungi.
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Affiliation(s)
| | - Yu Liu
- Beijing Academy of Agriculture and Forestry Sciences Institute of Plant and Environmental Protection, 572845, No. 9, dawn Garden Road, Haidian District, Beijing, Beijing, China, 100097;
| | - Jun Li
- College of Bioscience and Resources Environment, Beijing University of Agriculture, Beijing 102206, China, Beijing, China;
| | - Zhaoqing Zeng
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beicheng Xi Load 3rd, Beijing, China, 100101;
| | | | - Wentao Qin
- Beijing Academy of Agriculture and Forestry Sciences Institute of Plant and Environmental Protection, 572845, No. 9, dawn Garden Road, Haidian District, Beijing, Beijing, China, 100097
- China;
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Tang X, Tian G, Huang Y, Ran J, Wen Z, Xu J, Song S, Liu B, Han R, Shi F, Zhang X, Sun H, Gong Y, Li Y, Zhang Z, Chen Z, Luo P. Activation cross sections for reactions induced by 14 MeV neutrons on natural titanium. Appl Radiat Isot 2023; 193:110636. [PMID: 36584411 DOI: 10.1016/j.apradiso.2022.110636] [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: 08/16/2022] [Revised: 11/22/2022] [Accepted: 12/23/2022] [Indexed: 12/28/2022]
Abstract
Cross sections for the neutrons around 14 MeV interaction with natural titanium were precisely measured by neutron activation and off-line measurement technique. The fast neutrons were produced by 3H(d,n)4He reaction and the neutron energy was obtained by using the cross section ratio method of 90Zr(n,2n)89Zr to 93Nb(n,2n)92mNb reactions. Experimental cross sections have been acquired for natTi(n,x)46Sc, natTi(n,x)47Sc, 50Ti(n,x)47Ca and 48Ti(n,x)48Sc reactions. The measured cross section data are compared with the experimental data available in the previous literature and evaluated nuclear data from the ENDF/B-VIII.0, JEFF-3.3, JENDL-5, BROND-3.1, CENDL-3.2 and FENDL-3.2b libraries. Furthermore, excitation functions for these reactions were calculated by using the theoretical model based on Talys-1.96 code with default and adjusted parameters. Within experimental error, evaluated nuclear data are mostly consistent with experimental data. The excitation function with adjusted parameters can roughly reproduce the experimental data.
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Affiliation(s)
- X Tang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - G Tian
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - Y Huang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - J Ran
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Z Wen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - J Xu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - S Song
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - B Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China.
| | - R Han
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - F Shi
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - X Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - H Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - Y Gong
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Y Li
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Z Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Z Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - P Luo
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China.
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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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Gao Q, Peng L, Song S, Zhang Y, Shi Y. Assessment of healthcare quality among village clinicians in rural China: the role of internal work motivation. Hong Kong Med J 2023; 29:57-65. [PMID: 36754422 DOI: 10.12809/hkmj219871] [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] [Indexed: 02/10/2023] Open
Abstract
INTRODUCTION The quality of primary care is important for health outcomes among residents in China. There is evidence that internal work motivation improves the quality of healthcare provided by clinicians. However, few empirical studies have examined the relationship between internal work motivation and clinical performance among village clinicians in rural China. This study was performed to evaluate healthcare quality among village clinicians, then explore its relationships with internal work motivation among those clinicians. METHODS We collected survey data using a standardised patient method and a structured questionnaire. We observed 225 interactions between standardised patients and village clinicians from 21 counties in three provinces. We used logistic regression models to analyse the relationships between work motivation and healthcare quality, then conducted heterogeneity analysis. RESULTS Healthcare quality among village clinicians was generally low. There was a significantly positive correlation between internal work motivation and healthcare quality among village clinicians (P<0.1). Additionally, the positive effect of internal work motivation on healthcare quality was strongest among clinicians who received financial incentives and had a lighter workload (fewer patients per month) [P<0.1]. CONCLUSION Healthcare quality among village clinicians requires urgent improvement. We recommend implementing financial incentives to stimulate internal work motivation among village clinicians, thus improving their clinical performance.
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Affiliation(s)
- Q Gao
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
| | - L Peng
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
| | - S Song
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
| | - Y Zhang
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
| | - Y Shi
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
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Zhang Q, Li J, Sun Y, Song S, Li X, Chen G. Neoagarohexaose Protects against Amyloid β-Induced Oxidative Stress and Aggregation. APPL BIOCHEM MICRO+ 2022. [DOI: 10.1134/s0003683822100179] [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: 02/28/2023]
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Cho HB, Park SY, Kim N, Choi SJ, Song S, Yoo JH, Kim MG, Chung JW. Effect of anesthetics on postoperative nausea and vomiting after peripheral vascular surgery in end-stage renal disease patients: A retrospective observational study. Front Surg 2022; 9:1054670. [PMID: 36504578 PMCID: PMC9727076 DOI: 10.3389/fsurg.2022.1054670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 10/28/2022] [Indexed: 11/24/2022] Open
Abstract
Background Propofol-based total intravenous anesthesia (TIVA) is considered a prophylactic approach to decrease postoperative nausea and vomiting (PONV). Despite general anesthesia commonly being performed in end-stage renal disease (ESRD) patients, PONV in ESRD patients has not been well-described. We investigated PONV in peripheral vascular surgery under general anesthesia in ESRD patients. Methods To compare PONV between propofol-based TIVA and anesthesia with volatile anesthetics, we collected retrospective data from patients who underwent peripheral vascular surgery under general anesthesia from July 2018 to April 2020. We performed univariable and multivariable analyses, including factors that could be associated with PONV and those previously shown to affect PONV. Result A total of 1,699 peripheral vascular surgeries under general anesthesia in ESRD patients were eligible for analysis. Based on the multivariable analysis, TIVA (odds ratio [OR], 0.45; 95% confidence interval [CI], 0.35-0.60; P < 0.001) significantly decreased PONV. Female sex (OR, 1.85; 95% CI, 1.44-2.38; P < 0.001) and anesthetic duration (OR, 1.01; 95% CI, 1.00-1.01; P < 0.001) were associated with increased PONV. Conclusion Propofol-based TIVA is the most influential factor decreasing PONV after peripheral vascular surgery in ESRD patients. Anesthesiologists can apply propofol-based TIVA as an alternative to anesthesia with volatile anesthetics.
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Wang D, Liu H, Yu S, Jian Y, Xu S, Ying F, Zhou F, Song S, Zhang G. 190P Real-world applications of poly (ADP-ribose) polymerase inhibitors for ovarian cancer: A single-center study in China. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.226] [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: 12/07/2022] Open
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Zhu H, Liu Q, Xu H, Mo M, Wang Z, Lu K, Zhou J, Chen J, Zheng X, Ye J, Ge X, Luo H, Song S, Chen Y, Zhao K. 132TiP Dose escalation of chemoradiotherapy in locally advanced esophageal squamous cell carcinoma based on positron emission tomography response: A phase III, open-label, randomized, controlled trial (ESO-Shanghai 12). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.168] [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: 12/05/2022] Open
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Song S, Cho HB, Park SY, Koo WM, Choi SJ, Yoon S, Park S, Yoo JH, Kim MG, Chung JW, Kim SH. Postoperative mortality in patients with end-stage renal disease according to the use of sugammadex: a single-center retrospective propensity score matched study. Anesth Pain Med (Seoul) 2022; 17:371-380. [PMID: 36317429 PMCID: PMC9663945 DOI: 10.17085/apm.22189] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/24/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Clearance of the sugammadex-rocuronium complex is limited to renal excretion. There are restrictions on the use of sugammadex in patients with severe renal impairment. A paucity of data supports the clinical safety of sugammadex in patients with renal impairment. We analyzed mortality after using sugammadex in patients with end-stage renal disease to establish evidence of safety for sugammadex. METHODS We retrospectively collected the medical records of 2,134 patients with end-stage renal disease who were dependent on hemodialysis and underwent surgery under general anesthesia between January 2018 and December 2019. Propensity score matching was used. The primary outcome was the 30-day mortality rate, and secondary outcomes were the 1-year mortality rate and causes of death. RESULTS A total of 2,039 patients were included in the study. Sugammadex was administered as a reversal agent for rocuronium in 806 (39.5%) patients; the remaining 1,233 (60.5%) patients did not receive sugammadex. After matching, 1,594 patients were analyzed; 28 (3.5%) of the 797 patients administered sugammadex, and 28 (3.5%) of the 797 patients without sugammadex, died within 30 days after surgery (P > 0.99); 38 (4.8%) of the 797 patients administered sugammadex, and 45 (5.7%) of the 797 patients without sugammadex, died within 1 year after surgery (P = 0.499). No significant differences in the causes of 30-day mortality were observed between the two groups after matching (P = 0.860). CONCLUSIONS In this retrospective study, sugammadex did not increase the 30-day and 1-year mortality rate after surgery in end-stage renal disease patients.
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Affiliation(s)
- Sanghoon Song
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Ho Bum Cho
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Sun Young Park
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Korea,Corresponding Author: Sun Young Park, M.D, Ph.D. Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Soonchunhyang University College of Medicine, 59 Daesagwan-ro, Yongsan-gu, Seoul 04401, Korea Tel: 82-2-709-9302, Fax: 82-2-709-0394, E-mail:
| | - Wan Mo Koo
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Sang Jin Choi
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Sokyung Yoon
- Department of General Surgery, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Suyeon Park
- Department of Biostatistics, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Jae Hwa Yoo
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Mun Gyu Kim
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Ji Won Chung
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Sang Ho Kim
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul, Korea
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Thaw D, Chen A, Song S, Morbeck D, Wong P. Development of an in-house algorithm to predict the formation of viable blastocyst from cleavage stage embryo. Reprod Biomed Online 2022. [DOI: 10.1016/j.rbmo.2022.08.056] [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: 11/24/2022]
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Park J, Cho S, Lee K, Choi E, Jung W, Kim S, Park G, Song S, Kang C, Ma M, Yoo D, Paeng K, Ock CY. 94P Performance validation of an artificial intelligence-powered programmed death-ligand 1 (PD-L1) combined positive score analyzer in urothelial cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.126] [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: 11/26/2022] Open
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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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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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Moon J, Cho HG, Kim S, Kim S, Park G, Song S, Jung W, Ock CY. 1704P Multimodal approach to discover novel targets for antibody-drug conjugates by analyzing distinct expression patterns of frequent copy number aberration. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1782] [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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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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Song S, Hwang K, Kim D, Ryu G, Ahn B, Jeon HB, Chung S, Kim W. EFFECTS OF EVEN FUNCTIONAL GROUP DISTRIBUTION IN EMULSION STYRENE–BUTADIENE RUBBER PREPARED BY REVERSIBLE ADDITION–FRAGMENTATION CHAIN TRANSFER POLYMERIZATION ON THE PROPERTIES OF SILICA-FILLED COMPOUNDS. Rubber Chemistry and Technology 2022. [DOI: 10.5254/rct.22.77993] [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] [Indexed: 11/11/2022]
Abstract
ABSTRACT
Recently, considerable attention has been paid to the development of new functionalized polymers to improve the fuel efficiency of vehicles by reducing the rolling resistance of tires to adhere to strict CO2 emission regulations. Accordingly, multifunctionalized (MF) reversible addition–fragmentation chain transfer (RAFT) emulsion styrene–butadiene rubbers (ESBR) were synthesized, in which chain-end and in-chain functionalization were performed simultaneously by introducing a third monomer (glycidyl methacrylate; GMA) using RAFT polymerization. Compared with GMA ESBR, in which GMA is introduced as a third monomer by conventional radical polymerization (CRP), there was an even distribution of GMA per chain in the MF-RAFT ESBR. After preparing the silica-filled compounds, vulcanizate structure analysis and mechanical property evaluation of the compounds were performed. The MF-RAFT ESBR prepared by RAFT polymerization exhibited superior in-chain functionalization efficiency compared with GMA ESBR prepared by CRP because of the even distribution of GMA and higher crosslink density. Consequently, MF-RAFT ESBR compound showed superior silica dispersion, abrasion resistance, and lower rolling resistance compared with the GMA ESBR compound.
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Affiliation(s)
- Sanghoon Song
- 1 School of Chemical Engineering, Pusan National University, Busan 46241, Korea
| | - Kiwon Hwang
- 2 Hankook Tire & Technology Co., Ltd., R&D Center, 50 Yuseong-daero 935 Beon-gil, Yuseong-gu, Daejeon 34127, Korea
| | - Donghyuk Kim
- 1 School of Chemical Engineering, Pusan National University, Busan 46241, Korea
| | - Gyeongchan Ryu
- 1 School of Chemical Engineering, Pusan National University, Busan 46241, Korea
| | - Byungkyu Ahn
- 2 Hankook Tire & Technology Co., Ltd., R&D Center, 50 Yuseong-daero 935 Beon-gil, Yuseong-gu, Daejeon 34127, Korea
| | - Heung Bae Jeon
- 3 Department of Chemistry, Kwangwoon University, Wolgye-Dong, Nowon-Gu, Seoul 139-701, Republic of Korea
| | - Sungwook Chung
- 1 School of Chemical Engineering, Pusan National University, Busan 46241, Korea
| | - Wonho Kim
- 1 School of Chemical Engineering, Pusan National University, Busan 46241, Korea
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Biglione B, Cucka B, Chand S, Rrapi R, Gabel C, Song S, Kroshinsky D. 221 Distinguishing clinical features for pseudocellulitis in pediatric inpatients: A retrospective study. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.228] [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: 10/17/2022]
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Cucka B, Biglione B, Chand S, Rrapi R, Gabel C, Song S, Kroshinsky D. 361 Utilization of resources for cellulitis in hospitalized patients: Predictors of cutaneous abscess diagnosed on ultrasound. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.370] [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: 10/17/2022]
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Shi Y, Song S, Peng L, Nie J, Gao Q, Shi H, Teuwen DE, Yi H. Utilisation of village clinics in Southwest China: evidence from Yunnan Province. Hong Kong Med J 2022; 28:306-314. [PMID: 35973947 DOI: 10.12809/hkmj209153] [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] [Indexed: 06/07/2023] Open
Abstract
INTRODUCTION Primary healthcare in rural China is underutilised, especially in village clinics in Southwest China. The aim of this study was to explore any relationships among the ethnicity of the healthcare provider, the clinical competence of the healthcare provider, and the utilisation of village clinics in Southwest China. METHODS This cross-sectional survey study involved 330 village healthcare providers from three prefectures in Yunnan Province in 2017. Multiple logistic regressions were adopted to investigate the utilisation of primary healthcare among different ethnic healthcare providers. RESULTS Primary healthcare utilisation was higher in village clinics where healthcare providers were Han Chinese than those where healthcare providers were ethnic minority (151 vs 101, P=0.008). The logistic regression analysis showed that clinical competence was positively associated with the utilisation of primary healthcare (odds ratio [OR]=1.49, 95% confidence interval [CI]=1.12-2.00; P=0.007) and that inadequate clinical competence of ethnic minority health workers may lead to a lag in the utilisation of primary healthcare (OR=0.45, 95% CI=0.23-0.89; P=0.022). CONCLUSION Our results confirm differences in the utilisation of primary healthcare in rural Yunnan Province among healthcare providers of different ethnicities. Appropriate enhancements of clinical competence could be conducive to improving the utilisation of primary healthcare, especially among ethnic minority healthcare providers.
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Affiliation(s)
- Y Shi
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
| | - S Song
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
| | - L Peng
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
| | - J Nie
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
| | - Q Gao
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
| | - H Shi
- Business Department Center of Red Cross Society of China, Beijing, China
| | - D E Teuwen
- Ghent University Hospital, Department of Neurology, Ghent, Belgium
| | - H Yi
- China Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
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Nho JH, Jang BW, An CY, Yoo JH, Song S, Cho HB, Kim SH, Kim SI, Jung KJ, Kim B. General versus Brachial Plexus Block Anesthesia in Pain Management after Internal Fixation in Patients with Distal Radius Fracture: A Randomized Controlled Trial. IJERPH 2022; 19:ijerph19159155. [PMID: 35954509 PMCID: PMC9368435 DOI: 10.3390/ijerph19159155] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/19/2022] [Accepted: 07/25/2022] [Indexed: 12/04/2022]
Abstract
Distal radius fractures (DRFs) are very common injuries associated with aging, and the number of fractures is increasing with the increase in the elderly population. General anesthesia or brachial plexus block (BPB) is required for fracture fixation, and acute postoperative pain control is necessary after operation. Early pain control can improve patient satisfaction and functional outcomes. In this study, we report the clinical differences in postoperative pain, according to the method of anesthesia (general anesthesia versus brachial plexus block). Volar plating was used to treat 72 patients older than 60 years who had comminuted DRF. Patients were randomized to either group A (36 patients), who underwent general anesthesia, or group B (36 patients), who underwent BPB. We compared these two groups prospectively for acute postoperative pain using a visual analog scale (VAS) at 2, 4, 6, 12, and 24 h after surgery. The VAS scores of each group were: 6.8 ± 2.5 in general anesthesia and 0.5 ± 2.3 in BPB at 2 h, postoperatively; 6.5 ± 2.4 in general anesthesia and 0.5 ± 2.4 in BPB anesthesia at 4 h, postoperatively; 5.2 ± 2.4 in general anesthesia and 1.5 ± 2.4 in BPB anesthesia at 6 h, postoperatively; 4.5 ± 2.5 in general anesthesia and 3.4 ± 2.7 in BPB anesthesia at 12 h, postoperatively; and 3.5 ± 2.5 in general anesthesia and 3.2 ± 2.7 in BPB anesthesia at 24 h, postoperatively. DRF patients with BPB anesthesia showed a lower VAS score than those subjected to general anesthesia in early postoperative period. As a result, the effect of BPB anesthesia on acute pain management after surgery was excellent, which resulted in a lower pain score compared with general anesthesia in DRF patients undergoing volar plating.
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Affiliation(s)
- Jae-Hwi Nho
- Department of Orthopaedic Surgery, Soonchunhyang University Hospital Seoul, Seoul 04401, Korea; (J.-H.N.); (C.Y.A.)
| | - Byung-Woong Jang
- Department of Orthopaedic Surgery, Soonchunhyang University Hospital Gumi, Gumi 39371, Korea
- Correspondence:
| | - Chi Young An
- Department of Orthopaedic Surgery, Soonchunhyang University Hospital Seoul, Seoul 04401, Korea; (J.-H.N.); (C.Y.A.)
| | - Jae Hwa Yoo
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul 04401, Korea; (J.H.Y.); (S.S.); (H.B.C.); (S.H.K.); (S.I.K.)
| | - Sanghoon Song
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul 04401, Korea; (J.H.Y.); (S.S.); (H.B.C.); (S.H.K.); (S.I.K.)
| | - Ho Bum Cho
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul 04401, Korea; (J.H.Y.); (S.S.); (H.B.C.); (S.H.K.); (S.I.K.)
| | - Sang Ho Kim
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul 04401, Korea; (J.H.Y.); (S.S.); (H.B.C.); (S.H.K.); (S.I.K.)
| | - Soon Im Kim
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Hospital Seoul, Seoul 04401, Korea; (J.H.Y.); (S.S.); (H.B.C.); (S.H.K.); (S.I.K.)
| | - Ki Jin Jung
- Department of Orthopaedic Surgery, Soonchunhyang University Hospital Cheonan, Cheonan 31151, Korea;
| | - Byungsung Kim
- Department of Orthopaedic Surgery, Soonchunhyang University Hospital Bucheon, Bucheon 14584, Korea;
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Park G, Song S, Cho HG, Cho SI, Jung W, AI team L, Pereira S, Yoo D, Paeng K, Ock CY. Abstract 6172: Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes reveals immune-excluded phenotype is correlated with TGF-beta pathway related genomic aberrations. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-6172] [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: 11/16/2022]
Abstract
Abstract
Aberrant transforming growth factor-beta(TGF-B) pathway in the tumor microenvironment has been highlighted as one of the core resistance pathways of immunotherapy, by excluding tumor-infiltrating lymphocytes (TIL) out of the tumor area. However, no studies have coupled immune phenotypes classified by spatial analysis of TIL in whole slide images (WSI) with TGF-B pathway analysis on a large-scale database. Here, we hypothesized that the immune-excluded phenotype classified by a deep-learning spatial analysis model, Lunit SCOPE IO, would be correlated with the aberrant TGF-B pathway in The Cancer Genome Atlas (TCGA) cohorts. Aberrant TGF-B pathway was measured by Trimmed Mean of M-values (TMM) normalized and transformed to log2 of counts-per-million of previously published gene sets of fibroblast-specific TGF-beta responsive gene signature, using edgeR packages from TCGA RNA-sequencing data (n=6,709) across the 23 cancer types. Lunit SCOPE IO was developed to identify immune phenotypes trained and validated from 3,166 multi-cancer H&E WSI with sections of 2.8e+9 mm2 tumor tissue containing 5.9e+6 TIL annotated by 52 board-certified pathologists. Lunit SCOPE IO classified immune phenotypes as immune-inflamed and -excluded according to the proportion of TIL density either highly conserved in cancer epithelium (CE) or cancer stroma (CS), respectively, and otherwise, classified as immune-desert with low TIL density in CE and CS. Aberrant TGF-B expression was highly enriched in multiple cancer types including pancreatic cancer, head and neck cancer, kidney clear cell carcinoma, lung squamous cell carcinoma, and breast cancer, in ascending order. TGF-B expression was increased in microsatellite-stable tumor samples (p = 7.4e-15) or samples with low tumor mutational burden (TMB, < 10/megabase, p = 4.9e-8), compared to those with microsatellite instability-high or high TMB, respectively. Interestingly, TGF-B expression was highly correlated with the proportion of cancer stroma in WSI (R = 0.315, p < 2.2e-16) and the proportion of immune-excluded phenotype (R = 0.115, p < 2.2e-16) across multiple cancer types. Tumor samples with SMAD4 mutations (n = 161, 2.4%) had significantly higher TGF-B expression (p = 0.0190), and a higher proportion of immune-excluded phenotype (p < 2.2e-16) in WSI, compared to wild-type SMAD4. Aberrant TGF-B pathway is clearly associated with increased proportion of cancer stroma, and excluded TIL, or immune-excluded phenotype in a large-scale pan-carcinoma analysis.
Citation Format: Gahee Park, Sanghoon Song, Hyung-Gyo Cho, Soo Ick Cho, Wonkyung Jung, Lunit AI team, Sergio Pereira, Donggeun Yoo, Kyunghyun Paeng, Chan-Young Ock. Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes reveals immune-excluded phenotype is correlated with TGF-beta pathway related genomic aberrations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 6172.
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Choi H, Kim L, Kim J, Lee YH, Cho HG, Kim NH, Gim G, Song S, Park G, Cho SI, Pereira S, Yoo D, Paeng K, Ock CY, Chae YK. Abstract 644: Deep learning-based H&E analyzer reveals distinct immune profiles and clinical outcomes among immune phenotypes in uterine corpus endometrial carcinoma. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-644] [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: 11/16/2022]
Abstract
Abstract
Introduction: Deep learning-based H&E analyzer can classify the tumor microenvironment as three immune phenotypes: the immune-inflamed, excluded and desert. Our previous study demonstrated a distinct transcriptomic and immunologic landscape amongst the phenotypes in non-small cell lung cancer (NSCLC). However, it has not been fully investigated in other cancers. Here, we explore the immune profiles and clinical outcomes between the three immune phenotypes in uterine corpus endometrial carcinoma (UCEC).
Methods: Tissue H&E slide images, sequencing data, and clinical data were utilized from The Cancer Genome Atlas (TCGA). Lunit-SCOPE IO was trained with multi-cancer 3,166 H&E whole slide images annotated by pathologists. Based on the proportion of tumor infiltrating lymphocytes (TIL) highly conserved either in cancer epithelium (CE) or cancer stroma (CS), Lunit-SCOPE IO classifies tumors as immune-inflamed and excluded, respectively. Also, it classifies tumors with low TIL density in CE and CS as immune-desert.
Results: Among 486 patients with UCEC, the frequency of immune-inflamed, excluded and desert was 174 (35.8%), 160 (32.9%), and 156 (32%), respectively. In the three subgroup comparison, immune-inflamed was associated with the best survival outcome and -excluded was associated with the worst survival outcome (Inflamed vs excluded, HR 0.30 95% CI 0.17-0.55, p<.001; desert vs excluded, HR 0.50 95% CI 0.30-0.84, p=0.009). Likewise, inflamed subtype showed better overall survival (HR 0.43, 95% CI 0.25-0.75, p=0.003) compared to others. In microsatellite instability high (MSI-H) tumors, we observed a similar tendency of improved overall survival in the tumors of inflamed subtype, both compared to the excluded subtype and to a combination of other subtypes. (Inflamed vs excluded, HR 0.18 95% CI 0.05-0.73, p=0.017; inflamed vs others, HR 0.21 95% CI 0.06-0.72, p=0.014). Immune-inflamed had significantly higher cytolytic activity (Inflamed 7.25 vs others 6.34, p<.001) and was associated with higher PD-L1 expression (Inflamed 19.03 vs others 10.7, p=0.003) and CTLA4 expression (Inflamed 60.62 vs others 31.5, p<.001). Immune-inflamed had a higher proportion of CD8 positive T cell (Inflamed 16.7% vs 12.8%, p<.001) and M1 macrophage (Inflamed 3.9% vs others 2.8%, p<.001) and a lower proportion of M2 macrophage (Inflamed 15% vs others 17.9%, p<.001).
Conclusion: The three tissue phenomic subtypes showed distinct immune profiles and clinical outcomes, with immune-inflamed having the best overall survival outcome. In particular, non-inflamed group was associated with worse overall survival even in MSI-H tumors deemed to have more favorable prognosis compared to MSS tumors. Given the definite differences in the survival outcome, tissue H&E based tumor microenvironment classification may serve as a potential prognostic biomarker in UCEC.
Citation Format: Horyun Choi, Leeseul Kim, Jinah Kim, Yeun Ho Lee, Hyung-Gyo Cho, Na Hyun Kim, Gahyun Gim, Sanghoon Song, Gahee Park, Soo Ick Cho, Sergio Pereira, Donggeun Yoo, Kyunghyun Paeng, Chan-Young Ock, Young Kwang Chae. Deep learning-based H&E analyzer reveals distinct immune profiles and clinical outcomes among immune phenotypes in uterine corpus endometrial carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 644.
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Affiliation(s)
- Horyun Choi
- 1University of Hawaii Internal Medicine Residency Program, Honolulu, HI
| | - Leeseul Kim
- 2AMITA Health Saint Francis Hospital Evanston, Evanston, IL
| | | | - Yeun Ho Lee
- 4Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | - Na Hyun Kim
- 6AMITA St Joseph Hospital Chicago, Chicago, IL
| | - Gahyun Gim
- 7Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY
| | | | | | | | | | | | | | | | - Young Kwang Chae
- 4Northwestern University Feinberg School of Medicine, Chicago, IL
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Wu LW, Wang L, Wen ZL, Ma H, Ou QF, Wu C, Gao X, Shi L, Li HW, Xia F, Song S, Zhu ZQ, Liu HY, Chen XC, Zhang SL, Huang JY, Song YZ. [Screening and preliminary validation of biomarkers in sputum-negative pulmonary tuberculosis based on positron emission tomography/computed tomography and transcriptomics]. Zhonghua Jie He He Hu Xi Za Zhi 2022; 45:567-572. [PMID: 35658381 DOI: 10.3760/cma.j.cn112147-20211207-00864] [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: 06/15/2023]
Abstract
Objective: To screen and perform preliminary clinical validation of biomarkers of activity based on positron emission tomography/computed tomography (PET-CT) and transcriptomics in sputum-negative pulmonary tuberculosis lesion tissue. Methods: Nine patients with sputum-negative pulmonary tuberculosis treated surgically at the Shanghai Public Health Clinical Center for Thoracic Surgery from January 1, 2017 to December 31, 2019 were retrospectively collected as the discovery group, including four males and five females, aged 20-57 years (mean 36 years). All of the patients underwent PET-CT scanning before surgery, and the resected specimens were postoperatively classified according to preoperative PET-CT. The resected specimens were divided into areas with increased fluorodeoxyglucose (FDG) metabolism (SUVmax>3) and areas with normal FDG metabolism (SUVmax ≤ 3) according to the preoperative PET-CT performance. After sample processing, total RNA was extracted from the tissues of different regions, and then whole gene transcriptome sequencing was performed. Bioinformatics analysis of the two sets of data was performed to discover the expression profiles of the differences in whole gene transcriptome data between the two regions and to screen for candidate biomarkers. Eighty patients with sputum-negative pulmonary tuberculosis admitted to Shanghai Public Health Clinical Center from January 1, 2019 to January 1, 2021 were retrospectively collected as the validation group, including 37 males and 43 females, aged 20-62 years, with an average age of 39 years. The validation group was divided into a group with increased SUV (n=40) and a group without lesions on CT imaging (n=40). Enzyme-linked immunosorbent assay (ELISA) was used to determine the protein levels of candidate biomarkers in the peripheral plasma of patients. The effect of biomarkers was assessed using subject operating characteristic (ROC) curves. Student's t-test was used to determine whether the difference in protein levels between the two groups was statistically significant. Results: Bioinformatics analysis revealed that the expression levels of C1QB, CCL19, CCL5 and HLA-DMB correlated with the metabolic activity of sputum-negative tuberculosis lesion tissue. Further screening and validation by the validation group confirmed that the difference in C1QB protein levels in the peripheral plasma of patients was statistically significant between the group with increased SUV and the group without lesions on CT imaging [(3.55±0.34) mg/L vs. (2.75±0.21) mg/L, t=4.12, P<0.001]. And the ROC curve showed that the area under the curve for C1QB protein levels was 0.731, which had potential clinical value. Conclusion: The C1QB protein level can be used to assess the activity of lesions in patients with sputum-negative tuberculosis and is a potential biomarker.
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Affiliation(s)
- L W Wu
- Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
| | - L Wang
- Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
| | - Z L Wen
- Department of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
| | - H Ma
- Department of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
| | - Q F Ou
- Department of Tuberculosis, Wuxi No.5 People's Hospital, Wuxi 214007, China
| | - C Wu
- Department of Tuberculosis, Changchun Infectious Disease Hospital, Changchun 130123, China
| | - X Gao
- Department of PET-CT, Universal Medical Imaging, Shanghai 200233, China
| | - L Shi
- Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
| | - H W Li
- Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
| | - F Xia
- Department of Lung Disease, the Navy's 905th Hospital, Shanghai 200050, China
| | - S Song
- Department of Pathology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
| | - Z Q Zhu
- Department of Laboratory, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
| | - H Y Liu
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, China
| | - X C Chen
- School of Basic Medicine, Medicine Collage, Shenzhen University, Shenzhen 518060, China
| | - S L Zhang
- School of Basic Medicine, Medicine Collage, Shanghai Jiaotong University, Shanghai 200025, China
| | - J Y Huang
- Department of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
| | - Y Z Song
- Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201052, China
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Cucka B, Biglione B, Chand S, Rrapi R, Gabel CK, Song S, Kroshinsky D. Utilization of resources for cellulitis in hospitalized patients: predictors of cutaneous abscess diagnosed on ultrasound. J Eur Acad Dermatol Venereol 2022; 36:e889-e891. [PMID: 35691015 DOI: 10.1111/jdv.18321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 06/03/2022] [Indexed: 11/29/2022]
Affiliation(s)
- B Cucka
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - B Biglione
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - S Chand
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - R Rrapi
- Department of Dermatology, Massachusetts General Hospital, 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
| | - D Kroshinsky
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
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Wang J, Zhang SX, Song S, Qiao J, Zhao R, Cheng T, Liu J, Wang C, LI X. POS0811 CHARACTERISTICS OF INTESTINAL MICROBIOTA AND ITS RELATIONSHIP WITH LYMPHOCYTE SUBSETS AND CYTOKINES IN PATIENTS WITH VASCULITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3607] [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: 11/03/2022]
Abstract
BackgroundVasculitis include a group of autoimmune inflammatory diseases with clinical heterogeneous characterized by inflammation of vascular wall, inflammation of perivascular tissues, and cell-like necrosis[1]. Disorder of gut microbiota, which plays a crucial role in regulating immune cells such as Th1, Th17 and Treg, is associated with other autoimmune diseases[2], and may also be involved in the pathogenesis of vasculitis.ObjectivesTo investigate the changes of intestinal microbiota and its correlation with peripheral lymphocyte subsets and inflammatory factors levels in patients with vasculitis.MethodsCombined with clinical manifestations and laboratory examination, 33 patients with vasculitis who met the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides[3] and 33 of age- and gender- matched healthy controls (HCs) were selected from the Second Hospital of Shanxi Medical University. The demographic characteristics, general laboratory indicators such as erythrocyte sedimentation rate (ESR), C-reaction protein (CRP), levels of peripheral lymphocyte subpopulations and serum cytokines detected by modified flow cytometry. Fecal microbiota detected by 16S rRNA gene sequencing and compiled and processed using Qiime2 and OTU-profiling tables were collected and analyzed in this study.ResultsCompared with HCs, the richness and diversity of intestinal flora in patients with vasculitis tended to decrease with a statistically significant difference in β diversity (P = 0.025, Figure 1 A and B). More specifically, vasculitis patients had a lower frequency of Firmicutes while higher Proteobacteria and Bacteroidota at the phylum level (P < 0.001, Figure 1C). In vasculitis patients, the relative abundances of 23 bacteria differed from HCs at the genus level was all decreased, including Gemella, Anaeroglobus, Campylobacter, Fournierella, et al (P < 0.001, Figure 1D and E). More importantly, the relative abundance of Muribaculaceae were positively correlated with the absolute count of Th2 and the proportions of Th1 and CD4+T cells and negatively correlated with CRP and ESR, while relative abundance of [Eubacterium]_ventriosum were positively associated with the absolute number of Treg cells and negatively correlated with the percentages of Th2 and CD8+T cells (Figure 1F).Figure 1.Differences in α diversity (A), β diversity (B), phylum (C), genus (D), and microbial composition (E) between vasculitis patients and HC and correlation analysis between differential microflora and clinical data in patients with vasculitis (F).ConclusionDisturbance of intestinal flora, mainly manifested by decreased diversity and richness, may be involved in the occurrence and development of vasculitis by inducing disroders in lymphocyte subsets and cytokines. Consequently, further studies on the immune mechanisms and influencing factors of intestinal flora may provide new ideas for the diagnosis and treatment of the disease for vasculitis patients.References[1]Aierken X, Zhu Q, Wu T, et al. Increased Urinary CD163 Levels in Systemic Vasculitis with Renal Involvement[J]. Biomed Res Int, 2021, 2021: 6637235. DOI: 10.1155/2021/6637235.[2]Zhang X, Zhang D, Jia H, et al. The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment[J]. Nat Med, 2015, 21(8): 895-905. DOI: 10.1038/nm.3914.[3]Jennette JC, Falk RJ, Bacon PA, et al. 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides[J]. Arthritis Rheum, 2013, 65(1): 1-11. DOI: 10.1002/art.37715.AcknowledgementsThis work was supported by the National Natural Science Foundation of China (No.82001740).Disclosure of InterestsNone declared
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Liu J, Zhang SX, Qiao J, Zhao R, Song S, Cheng T, Wang J, Li X, Wang C. AB0202 GUT MICROBIOTA DYSBIOSIS WERE CLOSELY CORRELATED WITH LYMPHOCYTE SUBSETS AND CYTOKINES IN PATIENTS WITH INFLAMMATORY ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3485] [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: 11/03/2022]
Abstract
BackgroundInflammatory arthritis includes a group of chronic conditions, particularly rheumatoid arthritis (RA), ankylosing spondylitis (AS) and psoriatic arthritis (PsA)[1].Growing evidences link gut microbiota dysbiosis with the development of inflammatory arthritis[2].ObjectivesThe aim of this study was to discover the characters of microbiota in inflammatory arthritis patients and compare the relationship between the microbiota and peripheral lymphocyte subsets and cytokines.MethodsFecal samples were collected from 73 arthritis patients (13 PsA, 30 AS, 30 RA patients) and 140 sex- and age-matched healthy controls (HCs). The gut microbiota was studied by sequencing the V3-V4 variable regions of bacterial 16S rRNA genes by the Illumina Miseq PE300 system. Peripheral lymphocyte subsets in these participants were assessed by flow cytometry. Measures of disease activity such as erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) were recorded. Alpha and Beta diversity was assessed using results from QIIME2 and gut microbiome profiles were compared using linear discriminant analysis (LDA) effect size (LEfSe). R (version 4.0.1) was used for comparative statistics, using pearson correlation analysis to assess the correlation between the relative abundance of genus in the sample and clinical parameters.ResultsCompared with HCs, the richness of gut microbiota (ACE and Chao 1) was significantly lower (p < 0.05) in arthritis patients, and bacterial diversity including Shannon and Simpson indices (p < 0.001) was also significant in arthritis decreased (Figure 1A). β-diversity analysis based on Bray-curtis distance revealed significant differences in microbial communities between arthritis and HCs (Figure 1B, r=0.098, p=0.001, ANOSIM). In addition, compared with HCs at the genus level, 9 bacterial groups were significantly different in PsA (p < 0.05), 19 bacterial groups in AS (p < 0.05), and 17 bacterial groups in RA(p < 0.05) (Figure 1C). There was a significant positive correlation between CD4+T and Prevotella(p<0.01), T and Prevotella(p<0.05), Blautia(p<0.05) as well as Megamonas(p<0.05), Th17 and Prevotella(p<0.01), CD8+T and Megamonas(p<0.01), Th1 and Megamonas(p<0.05), Prevotella(p<0.01),Coprococcus(p<0.05), B and Erysipelotricbaceae_UCG-003(p<0.01), and Erysipelotricbaceae_UCG-003(p<0.01), Anaerostipes(p<0.01), CRP and Fusobacterium(p<0.05) as well as Roseburia(p<0.05). There were negative correlations between T and Erysipelotricbaceae_UCG-003 (p<0.05),CD8+T and Fusobacterium(p<0.01), CD4+T and Fusobacterium(p<0.05), NK and Fusicatenibacter(p<0.05).ConclusionThe gut microbiota of patients with inflammatory arthritis differs from HC and also varies among individual arthritis, which was closely related to lymphocyte subsets.References[1]Wu X. Innate Lymphocytes in Inflammatory Arthritis[J]. Front Immunol, 2020, 11: 565275.DOI: 10.3389/fimmu.2020.565275[2]Breban M. Gut microbiota and inflammatory joint diseases[J]. Joint Bone Spine, 2016, 83(6): 645-649.DOI: 10.1016/j.jbspin.2016.04.005AcknowledgementsThis work was supported by the National Natural Science Foundation of China (No. 82001740).Disclosure of InterestsNone declared
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Park G, Song S, Kim S, Ahn S, Kim H, Lee J, Ro J, Park W, Chung T, Kang C, Lee C, Kim H, Shin J, Lee S, Baek E, Lee S, Seo MS, Choi H, Yoo D, Ock CY. Artificial intelligence-powered pathology image analysis merged with spatial transcriptomics reveals distinct TIGIT expression in the immune-excluded tumor-infiltrating lymphocytes. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.2570] [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
2570 Background: TIGIT is a promising emerging immunotherapeutic target. However, the specific sources of TIGIT expression within the tumor microenvironment are largely unknown. Here, we present an AI-powered spatial tumor-infiltrating lymphocyte (TIL) analyzer, Lunit SCOPE IO, to integrate image analysis from whole slide images with single-cell molecular profiling. Methods: We used The Cancer Genome Atlas (TCGA) RNA expression data across 23 cancer types (n=6,930). Lunit SCOPE IO was developed, trained, and validated based on >17k H&E whole-slide images, to segment cancer area (CA) and cancer-associated stroma (CS) and to detect tumor cells and TILs. The intra-tumoral TIL, stromal TIL, and tumor cell purity (TCP) in the CA+CS area were calculated. The public spatial transcriptomics (ST) dataset for breast cancer was downloaded from the 10X Visium web page. Lunit SCOPE IO was applied to the associated H&E WSIs to match distinct TIGIT expression to single cells identified in the WSIs. Results: TIGIT was highly expressed in TGCT (3.45±0.11; median±SEM), LUAD (3.07±0.05), and HNSC (2.89±0.06), and was highly enriched in samples with microsatellite instability-high or tumor mutational burden-high (≥ 10/Mb) compared to those without them (fold change = 1.30, p < 0.001). At a macroscopic, bulk-level in the TCGA dataset, TIGIT expression was positively correlated with intra-tumoral TIL density (R=0.37, p<0.001) and stromal TIL density (R=0.42, p<0.001), but it was negatively correlated with TCP (R=-0.27, p<0.001). Lunit SCOPE IO analyzed the images from ST analysis and calculated intra-tumoral TIL, stromal TIL, and TCP of each region of interest, containing 2 (IQR 0-7) cells. Interestingly, at a microscopic, cell-level, TIGIT expression was still higher in areas of enriched stromal TIL (P < 0.001) and lower in tumor cell-dense areas, but it was not significantly correlated with enriched intra-tumoral TIL areas, meaning that TIGIT expression is likely derived from the excluded TILs in the CS area. Conclusions: Interactive analysis of spatial transcriptomics with AI-powered pathology image analysis revealed that TIGIT expression in the tumor microenvironment is exclusive to confined areas with stromal TIL enrichment, reflecting the exclusion of TIL from the tumor nest. [Table: see text]
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Kim S, Jo J, Lee H, Chung M, Park J, Park S, Song S, Bang S. P-302 Analysis of risk factors for recurrence of distal bile duct cancer without lymph node metastasis after curative resection: Is adjuvant therapy really required? Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.391] [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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Lee HJ, Cho SY, Cho EY, Lim Y, Cho SI, Jung W, Song S, Kang M, Ryu J, Ma M, Park S, Paeng K, Ock CY, Song SY, Gong G. Artificial intelligence (AI)–powered spatial analysis of tumor-infiltrating lymphocytes (TIL) for prediction of response to neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.595] [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
595 Background: Stromal TIL are a well-recognized prognostic and predictive biomarker in breast cancer. There is a need for tools assisting visual assessment of TIL, to improve reproducibility as well as for convenience. This study aims to assess the clinical significance of AI-powered spatial TIL analysis in the prediction of pathologic complete response (pCR) after NAC in TNBC patients. Methods: H&E stained slides and clinical outcomes data were obtained from stage I – III TNBC patients treated with NAC in two centers in Korea. For spatial TIL analysis, we used Lunit SCOPE IO, an AI-powered H&E Whole-Slide Image (WSI) analyzer, which identifies and quantifies TIL within the cancer or stroma area. Lunit SCOPE IO was developed with a 13.5 x 109 micrometer2 area and 6.2 x 106 TIL from 17,849 H&E WSI of multiple cancer types, annotated by 104 board-certified pathologists. iTIL score and sTIL score were defined as area occupied by TIL in the intratumoral area (%) and the surrounding stroma (%), respectively. Immune phenotype (IP) of each slide was defined from spatial TIL calculation, as inflamed (high TIL density in tumor area), immune-excluded (high TIL density in stroma), or desert (low TIL density overall). Results: A total of 954 TNBC patients treated from 2006 to 2019 were included in this analysis. pCR (ypT0N0) was confirmed in 261 (27.4%) patients. The neoadjuvant regimens used were mostly anthracycline (97.8%) and taxane (75.1%) -based, with 116 (12.1%) patients receiving additional platinum and 41 (4.3%) patients treated as part of immune checkpoint inhibitor or PARP inhibitor clinical trials. The median iTIL score and sTIL score were 4.3% (IQR 3.2 – 5.8) and 8.1% (IQR 6.3 – 13.4), respectively. The mean iTIL score was significantly higher in patients who achieved pCR after NAC (5.8% vs. 4.5%, p < 0.001), and a similar difference was observed with sTIL score (12.1%.1 vs. 9.4%, p < 0.001). iTIL score was found to remain as an independent predictor of pCR along with cT stage and Ki-67 in the multivariable analysis (adjusted odds ratio 1.211 (95% CI 1.125 – 1.304) per 1 point (%) change in the score, p <0.001). By IP groups, 291 (30.5%) patients were classified as inflamed, 502 (52.6%) as excluded, and 161 (16.9%) as desert phenotype. The patients with inflamed phenotype were more likely to achieve pCR (44.7%) than other phenotypes (19.8%, p < 0.001). Conclusions: AI-powered spatial TIL analysis could assess TIL densities in the cancer area and surrounding stroma of TNBC, and TIL density scores and IP classification could predict pCR after NAC.
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Affiliation(s)
- Hee Jin Lee
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Soo Yoon Cho
- Department of Pathology and Translational Genomics, Samsung Medical Center, Seoul, South Korea
| | - Eun Yoon Cho
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | | | | | | | | | | | | | | | | | | | | | | | - Gyungyub Gong
- Department of Pathology, University of Ulsan, College of Medicine, Asan Medical Center, Seoul, South Korea
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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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Song S, Zhang SX, Qiao J, Zhao R, Cheng T, Li X. POS0745 GUT DYSBIOSIS ASSOCIATED WITH PERIPHERAL LYMPHOCYTES AND CYTOKINES IN PATIENTS WITH SJÖGREN’S SYNDROME. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2112] [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: 11/03/2022]
Abstract
BackgroundPrimary Sjögren’s syndrome (pSS) is a systemic autoimmune disease characterized by disorders of lymphocyte subpopulations with various cytokines and auto-antibodies1. Growing evidences suggest that gut microbiome dysbiosis may contribute to the development of pSS2.ObjectivesTo investigate the alterations to the gut microbiome and the correlation with peripheral lymphocytes and serum cytokines as well as inflammatory factors in pSS patients.MethodsA total of 101 pSS patients and 101 age- and sex- matched healthy controls (HCs) were enrolled in this study from The Second Hospital of Shanxi Medical University (Taiyuan, Shanxi, China). Patients fulfilled the 2019 ACR/EULAR classification criteria. We conducted 16S rRNA gene sequencing using fecal microbiota samples and analyzed the peripheral lymphocyte subsets by flow cytometry. Serum cytokines, erythrocyte sedimentation rate (ESR), C-reaction protein (CRP), unstimulated and stimulated whole saliva (UWS and SWS) secretion rate was also collected, respectively. Sequence data were compiled and processed using Qiime2 and OTU-profiling tables were constructed. Correlations between different taxa and gut microbiome, as well as clinical variables, were calculated by Spearman’s rank test.ResultsPatients with pSS exhibited a significant reduction in the richness and diversity of gut microbiota compared with those of HCs (Figure 1A-B, p < 0.05). Detailly, at the phylum level, pSS patients had a lower frequency of Firmicutes while higher Proteobacteria (Figure 1C, p < 0.05). Compared with HCs, 11 species of flora were discovered to be distinctly different at the genus level (p < 0.05). Patients presented fewer Faecalibacterium and Roseburia but more Lactobacillus (Figure 1D, p < 0.05). Lactobacillus negatively correlated with T cells (r=-0.407), CD8+T (r=-0.417) and Th2 (r=-0.323). There was a significant positive correlation between Faecalibacterium and IL-2(r=0.312), IFN-γ(r=0.338), TNF-α levels(r=0.322) (Figure 1E, p < 0.05). As for clinical disease measures, IL-6 increases were in line with ESR and CRP, while IL-2 levels inversely related to CRP. Additional UWS secretion rate and SWS secretion rate had negative correlation with ESR (Figure 1F, p < 0.05).ConclusionThe structural disorder of gut microbiota was distinct in pSS which were associated with peripheral lymphocyte subsets and cytokines. Disorders of gut microbiota and immune systems may contribute to the occurrence and development of pSS.References[1]Mariette X, Criswell LA. Primary Sjogren’s Syndrome. N Engl J Med 2018;378(10):931-39. doi: 10.1056/NEJMcp1702514[2]Trujillo-Vargas CM, Schaefer L, Alam J, et al. The gut-eye-lacrimal gland-microbiome axis in Sjogren Syndrome. Ocul Surf 2020;18(2):335-44. doi: 10.1016/j.jtos.2019.10.006AcknowledgementsThis work was supported by the National Natural Science Foundation of China (No. 82001740).Disclosure of InterestsNone declared
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Song Z, Zhang SX, Cheng T, Zhao R, Qiao J, Song S, LI Y, LI X, Wang C. POS0330 DIFFERENCES IN GUT MICROBIOTA ASSOCIATED WITH LYMPHOCYTE SUBSETS, CYTOKINES AND DISEASE ACTIVITY IN ANKYLOSING SPONDYLITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1928] [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]
Abstract
BackgroundAnkylosing spondylitis (AS), a common chronic inflammatory disease, is a prototype of spondyloarthritis affecting sacroiliac joints and spine with or without peripheral arthritis and other systemic symptoms[1]. Environmental factors, especially microorganisms have been suggested to implicate with AS pathogenesis[2].ObjectivesUtilizing 16S rRNA genes sequencing on the feces of untreated AS patients and healthy controls (HCs), our study aimed to provide an in-depth understanding of AS gut microbiota and identifying a feasible diagnostic strategy for AS.MethodsFecal samples were collected from 62 AS patients and 62 age-and-gender- matched HCs. Microbial genome was extracted from approximately 250mg fresh fecal samples from all participants using QIAamp PowerFecal DNA Kit (Qiagen). The V3-V4 variable regions of bacterial 16S rRNA genes were sequenced with the Illumina Miseq PE300 system. QIIME2 based pipeline was used to process the raw sequence data. Alpha and beta diversities were assessed using result from QIIME2, and comparisons of gut microbiome profile were performed using linear discriminant analysis (LDA) effect size (LEfSe) to examine differences between AS and HCs. R (version 4. 0.1) was used for comparative statistics, and pearson’s correlation was used to assess the correlations between the relative abundances of bacterial genera and clinical parameters; correlations with p<0.05 were considered significant.ResultsAS for alpha-diversity, ACE and Chao1 indices were lower in AS compared with those HCs(Figure 1A, p<0.05), though no significant differences observed in Shannon and Simpson index. Bray curtis distance-based beta-diversity analysis revealed significant differences in the microbial community between AS and HCs (Figure 1B, p=0.003, ANOSIM). Fecal microbial communities in AS differed significantly from those in HCs, driven by higher abundances of Escherichia-Shigella, Turicibacter, Enterococcus, et al. and a lower abundance of Agathobacter, Roseburia, Eubacterium_eligens_group, et al (Figure 1C, p<0.05). There was a significant positive correlation between ESR and Klebsiella, Butyricicoccus, Roseburia, CRP and Faecalibacterium, Muribaculaceae, ASDAS-CRP score and Faecalibacterium, Ruminococcus, total lymphocyte cells and Agathobacter, Ruminococcus, T cell and Agathobacter, CD4+T cell and Agathobacter, B cell and Agathobacter, Streptococcus, Th1 and Prevotella, CAG−352, Th2 and Agathobacter, Th17 and Prevotella, Agathobacter, IL-2 and Agathobacter, IL-4 and Agathobacter, IL-6 and Lachnospiraceae_UCG−004, Muribaculaceae, IL-17 and Eubacterium_hallii_group, IFN-gama and Phascolarctobacterium.There were negative correlations between total lymphocytes and Escherichia−Shigella, CD4+T cell and Enterobacteriaceae, Th2 cell and Escherichia−Shigella, IL-10 and CAG−352, Ruminococcus (Figure 2, p<0.05).Figure 1.Feature of gut microbiota in AS patients and HCs. (A) Alpha-diversity assessed by richness (Chao1, ACE) and diversity (Shannon, Simpson), Median estimates compared across cohorts. (B) PCoA plot based on the Bray curtis distance of gut microbiota samples from AS patients vs. HC group(p=0.003, ANOSIM). (C) Panel demonstrated the average relative abundance of different genus in AS and HCs. (D) Distribution of gut microbiota at genus level.Figure 2.Correlations between the relative abundance of significantly different bacteria and clinical variables. *p<0.05, **p < 0.01, ***p <0 .001, ****p < 0.0001.ConclusionHuman gut microbiome in patients with AS differed from that of the HCs. Characters of bacteria communities were associated with disease activity.References[1]Simone D, Al Mossawi M H, Bowness P. Progress in our understanding of the pathogenesis of ankylosing spondylitis [J]. Rheumatology (Oxford), 2018, 57(suppl_6): vi4-vi9.[2]Zhou C, Zhao H, Xiao X Y, et al. Metagenomic profiling of the pro-inflammatory gut microbiota in ankylosing spondylitis [J]. J Autoimmun, 2020, 107(102360.AcknowledgementsThis project was supported by the National Natural Science Foundation of China (No. 82001740).Disclosure of InterestsNone declared
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Zhao R, Zhang SX, Qiao J, Song S, Cheng T, Li X. AB0492 INTESTINAL MICROBIOLOGICAL DISORDER CLOSELY ASSOCIATED WITH PERIPHERAL LYMPHOCYTE SUBSETS AND CYTOKINES IN SYSTEMIC LUPUS ERYTHEMATOSUS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1926] [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: 11/03/2022]
Abstract
BackgroundSystemic lupus erythematosus (SLE) is an autoimmune disease characterized by widespread inflammation and tissue damage in multiple organs[1]. Microbiome is one of environmental factors that has been suggested to contribute to the occurrence and development of SLE[2].ObjectivesThis study aims to the understanding of the pathogenesis of SLE from the perspective of intestinal microorganisms and investigate the associations between flora and peripheral lymphocyte subpopulations and cytokines in SLE patients.MethodsFecal samples were collected from 96 patients with SLE, and 96 sex-and age-matched healthy controls (HCs). The gut microbiota were investigated via 16s rRNA sequencing and the peripheral T lymphocyte subsets of these participants were assessed by flow cytometry. Indicators of disease activity such as erythrocyte sedimentation rate (ESR), C-reaction protein (CRP), complement C3 and C4 were recorded. Differential abundance analysis was carried out using the edgeR algorithm. The Wilcoxon rank-sum test was used to compare alpha diversity indices, bacterial abundances, and the F/B ratio between groups. R (version 4.0.1) was used for comparative statistics, and pearson’s correlation analysis was used to assess the correlations between the relative abundances of bacterial genera and serum levels of ESR, CRP, C3 and C4 in the samples; correlations with p < 0.05 were considered significant.ResultsThe alpha estimators of richness (ACE and Chao 1) were significantly reduced in SLE feces samples compared with those of HCs (p < 0.0001). Bacterial diversity estimators, including the Shannon (p < 0.001) and Simpson’s (p < 0.01) indices, were also significantly lower in SLE (Figure 1A-D). The microbial community structures of the SLE and HCs could be separated by unweighted UnFrac-based principal coordinates analysis (PCoA) (R = 0.186, and p = 0.001; Figure 1E). Significant differences in gut microbiota composition between SLE and HCs were found using the edgeR algorithm. Compared with HCs, 24 species of flora were discovered to be distinctly different(p < 0.05). Moreover, there was a significant positive correlation between Tregs and Corynebacterium(p < 0.05), CD8+T and Corynebacterium (p < 0.05), CD4+T and Corynebacterium (p < 0.05), T and Corynebacterium (p < 0.05), Th1 and Escherichia−Shigella (p < 0.01), Th2 and Dielma (P<0.001) as well as Eubacterium eligens group (p < 0.05), NK and Faecalibacterium (p < 0.01). as well as Corynebacterium (p < 0.001), IL-6 and Coprococcus (p < 0.05), IL-10 and Eubacterium eligens group (p < 0.001) as well as Veillonella (p < 0.05). and Lachnospira (p < 0.01). As for clinical disease measures, there were positive correlations between CRP and Eubacterium ventriosum (p < 0.05). and Coprococcus (p < 0.05), C4 and the abundance of Corynebacterium (p < 0.05) (Figure 1F).ConclusionPatients with gut dysbiosis that mainly characterized by reduced the diversity and impaired abundance of the intestinal flora. Abnormality of T cell subsets and cytokines, especially the level of CD4+T, CD8+T, NK, Treg, Th, IL-6 and IL-10 cells contributes to the occurrence and progression of SLE, which may be related to the disturbance of gut microbiota. The discovery of the associated intestinal microbiota of SLE may provide a new idea for treatment.References[1]Fava A, Petri M. Systemic lupus erythematosus: diagnosis and clinical management. J Autoimmun. (2019) 96:1–13. 10.1016/j.jaut.2018.11.001[2]He Z, Shao T, Li H, Xie Z, Wen C: Alterations of the gut microbiome in Chinese patients with systemic lupus erythematosus. Gut pathogens 2016, 8:64.AcknowledgementsThis work was supported by the National Natural Science Foundation of China (No. 82001740).Disclosure of InterestsNone declared
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Qiao J, Chang MJ, Zhang SX, Zhao R, Song S, Cheng T, Su QY, LI X. POS0556 ALTERATION OF THE GUT MICROBIOTA IN CHINESE POPULATION WITH RHEUMATOID ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3424] [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]
Abstract
BackgroundRheumatoid arthritis (RA) is an aggressive immune-mediated joint disease characterized by synovial proliferation and inflammation, cartilage destruction, and joint destruction. Growing evidences suggests a chronic inflammatory response induced by gut microbiome critically contribute to the development of rheumatoid arthritis.ObjectivesThe aim of this study was to evaluate and quantify differences in the composition of gut microbiota in RA patients and investigate the associations between flora and clinical variables in RA patients.MethodsFecal samples from 145 RA patients and 145 age- and gender- matched healthy controls (HCs) were collected for bacterial 16S rRNA genes sequencing. The alpha-diversity, beta-diversity and the microbial composition (at the phylum and genus level) analysis of the gut microbiome were used to define the difference of gut microbiota profiles between RA patients and HCs. The peripheral lymphocytes of these patients were assessed by flow cytometry, and inflammatory biomarkers (ESR, CRP), auto-antibodies(ACPA, MCV) and cytokines measured by ELISA were recorded. Correlations between different taxa and clinical variables, were calculated by Spearman’s rank test.ResultsConsistent with trends observed for diversity, patients with RA had a lower richness compared with those of HCs (p < 0.01, Figure 1a), suggesting gut microbiome was markedly less diverse in composition in RA. Bray curtis distance-based beta diversity analysis revealed significant differences in the microbial community between RA and HCs (ANOSIM, R2=0.061, p=0.001, Figure 1b). Ten selected taxonomic biomarkers at different phylogenetic levels showed great discriminant ability, with Log10 LDA score > 4.0 (Figure 1e-g). Detailly, at the phylum level, RA patients had a lower frequency of Firmicutes while higher Proteobacteria. RA patients presented fewer Faecalibacterium but more Escherichia_Shigella at the genus level (Figure 1c-d). PICRUSt analysis found that in the KEGG pathways, the microbial gene functions related to Propanoate metabolism were higher in the fecal microbiome of RA patients (Figure 1h). Escherichia_Shigella positively correlated with ACPA antibodies (r=0.176, p < 0.05) and IL-4 (r=0.204, p < 0.05, Figure 1i), wheras Faecalibacterium as a probiotic showed no significant correlation with our clinical measures.Figure 1.ConclusionSpecific gut microbiota played an important role in the pathogenesis of RA, which may aid in the diagnosis or determination of the susceptibility of individuals to RA via detection of the gut microbiome.References[1]de Oliveira GLV, Leite AZ, Higuchi BS, et al. Intestinal dysbiosis and probiotic applications in autoimmune diseases. Immunology 2017;152(1):1-12. doi: 10.1111/imm.12765[2]Chen J, Wright K, Davis JM, et al. An expansion of rare lineage intestinal microbes characterizes rheumatoid arthritis. Genome Med 2016;8(1):43. doi: 10.1186/s13073-016-0299-7AcknowledgementsThis work was supported by the National Natural Science Foundation of China (No. 82001740).Disclosure of InterestsNone declared.
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