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2373 citation(s) found for "Wu, Ka Lung".

Abstract 4140887: Impact of Advanced Lung Cancer Inflammation Index on All-Cause Mortality Among Patients With Heart Failure: A Meta-analysis with Reconstructed Time-to-Event Data
Amin, Ahmed Mazen , Ghaly, Ramy , Elbenawi, Hossam , Ewis, Abdelrahman, Elshaer, Khaled S. M., Khan, Ubaid , Ewis, Abdelrahman, Abuelazm, Mohamed , Abdelazeem, Basel , Patel, Brijesh

Circulation | November 14, 2024 | Volume: 150 | Issue: Suppl_1 | Pages: No page available

10.1161/circ.150.suppl_1.4140887 Get It

Background: Heart failure (HF) is associated with systemic inflammation and hypercatabolic syndrome, impacting body metabolism. The advanced lung cancer inflammation index (ALI) is a novel inflammatory and nutritional biomarker. Purpose: We aimed to investigate the prognostic role of ALI in patients with HF. Methods: We comprehensively searched PubMed, WOS, SCOPUS, EMBASE, and CENTRAL through March 2024. We conducted a pair-wise and prognostic systematic review and meta-analysis with a reconstructed time-to-event data meta-analysis. All analyses were performed using R V. 4.3.1. This meta-analysis was registered at PROSPERO (CRD42024535227). Results: We included four studies with 2,247 patients. In the pair-wise meta-analysis, ALI ≤ 25 was significantly associated with an increased incidence of all-cause mortality compared with ALI > 25 (risk ratio [RR] 1.73, 95% confidence interval [CI] 1.36-2.21, P< 0.01). On the adjusted prognostic meta-analysis, higher ALI (>25) was significantly associated with a reduction in the incidence of all-cause mortality (hazards ratio [HR] 0.45, 95% CI 0.35-0.58, P< 0.01). The reconstructed Kaplan Meier showed that ALI > 25 was significantly associated with a 56% reduction in the incidence of all-cause mortality compared with ALI ≤ 25 (HR 0.44, 95% CI 0.38-0.50, P< 0.000001). Conclusion: Among patients with HF, a low ALI was associated with a higher incidence of all-cause mortality rate than those with a high ALI. These findings suggest that ALI can be used for prognostic stratification and aid clinical decision-making in HF management.
Abstract 4123872: Unsupervised clustering analysis of large-scale proteomics data identifies molecular phenogroups of heart failure in a population-based cohort
Downie, Carolina G , Shearer, Joe, Joo, Jungnam , Roger, Véronique L. , Kuku, Kayode O. , Hashemian, Maryam , Bielinski, Suzette J.

Circulation | November 13, 2024 | Volume: 150 | Issue: Suppl_1 | Pages: No page available

10.1161/circ.150.suppl_1.4123872 Get It

Background: Heart failure (HF) is a heterogeneous syndrome with high mortality. Previous work characterizing HF subgroups primarily relied on clinical data to cluster patients, an approach constrained by the boundaries of documented clinical features. Clustering based on biomarker data, such as proteomics, may provide insights into underlying molecular processes. However, few studies have used this approach, and all used targeted cardiovascular proteomics panels and a restricted HF ejection fraction group. Hypothesis: We used unsupervised clustering analysis to characterize molecular phenogroups in a population-based HF cohort using a large-scale array of circulating plasma proteins. We hypothesized that distinct proteomic-defined phenogroups would exhibit differences in clinical characteristics, mortality, and protein expression. Methods: We measured 7151 SOMAmers (Slow off-rate modified aptamers) targeting human proteins via the SomaLogic 7K SomaScan assay in 1351 HF patients. After feature selection, 831 SOMAmers were used in k-means clustering of patients via R package “ConsensusClusterPlus.” Phenogroups were compared for clinical characteristics, all-cause mortality, and protein expression. Results: Three phenogroups were identified, exhibiting different clinical characteristics ( Table 1 ) and survival probabilities (5-year survival probability in phenogroup 1: 65% [61%, 68%], phenogroup 2: 45% [40%, 51%], and phenogroup 3: 26% [22%, 30%]). In covariate-adjusted Cox models, membership in phenogroups 2 and 3 was significantly associated with increased rate of mortality compared to phenogroup 1. Phenogroups did not differ by ejection fraction or New York Heart Association class. Pathway overrepresentation analysis of differentially expressed SOMAmers identified pathways associated with inflammatory response and immune cell trafficking. Conclusions: Unsupervised clustering analysis using large-scale proteomics data identified three HF phenogroups with different proteomic signatures, clinical characteristics, and outcomes. Future work is necessary to elucidate how molecular differences contribute to heterogeneity in HF to improve risk stratification beyond current recommended clinical guidelines.
Imaging lung tumor motion using integrated‐mode proton radiography—A phantom study towards tumor tracking in proton radiotherapy
Fullarton, Ryan , Simard, Mikaël , Toltz, Allison, Chung, Savanna, Schuy, Christoph , Robertson, Daniel , Royle, Gary , Baker, Colin , Graeff, Christian , Collins‐Fekete, Charles‐Antoine , Robertson, Daniel G, Graeff, Christian , Volz, Lennart , Chung, Savanna, Beddar, Sam , Baker, Colin

Medical Physics | November 12, 2024 | Volume: 52 | Issue: 2 | Pages: 1146-1158

10.1002/mp.17508 | PMID 39530503 Get It

AbstractBackgroundMotion of lung tumors during radiotherapy leads to decreased accuracy of the delivered dose distribution. This is especially true for proton radiotherapy due to the finite range of the proton beam. Methods for mitigating motion rely on knowing the position of the tumor during treatment.PurposeProton radiography uses the treatment beam, at an energy high enough to traverse the patient, to produce a radiograph. This work shows the first results of using an integrated‐mode proton radiography system to track the position of moving objects in an experimental phantom study; demonstrating the potential of using this method for measuring tumor motion.MethodsProton radiographs of an anthropomorphic lung phantom, with a motor‐driven tumor insert, were acquired approximately every 1 s, using tumor inserts of 10, 20, and 30 mm undergoing a known periodic motion. The proton radiography system used a monolithic scintillator block and digital cameras to capture the residual range of each pencil beam passing through the phantom. These ranges were then used to produce a water equivalent thickness map of the phantom. The centroid of the tumor insert in the radiographs was used to determine its position. This measured position was then compared to the known motion of the phantom to determine the accuracy.ResultsSubmillimeter accuracy on the measurement of the tumor insert was achieved when using a 30 mm tumor insert with a period of 24 s and was found to be improved for decreasing motion amplitudes with a mean absolute error (MAE) of 1.0, 0.9, and 0.7 mm for 20, 15, and 10 mm respectively. Using smaller tumor inserts reduced the accuracy with a MAE of 1.8 and 1.9 mm for a 20 and 10 mm insert respectively undergoing a periodic motion with an amplitude of 20 mm and a period of 24 s. Using a shorter period resulted in significant motion artifacts reducing the accuracy to a MAE of 2.2 mm for a 12 s period and 3.1 mm for a 6 s period for the 30 mm insert with an amplitude of 20 mm.ConclusionsThis work demonstrates that the position of a lung tumor insert in a realistic anthropomorphic phantom can be measured with high accuracy using proton radiographs. Results show that the accuracy of the position measurement is the highest for slower tumor motions due to a reduction in motion artifacts. This indicates that the primary obstacle to accurate measurement is the speed of the radiograph acquisition. Although the slower tumor motions used in this study are not clinically realistic, this work demonstrates the potential for using proton radiography for measuring tumor motion with an increased scanning speed that results in a decreased acquisition time.
Pig-to-human lung xenotransplantation in a brain-dead human recipient
Liu, Xiaoyou , Peng, Guilin, Shi, Jiang , Ju, Chunrong, He, Ping , Liu, Xiaoqing , Zhang, Zuopen, Chen, Chuanbao, Pan, Dengke, Yang, Zifeng , Guan, Wenda, 陈, 中华克劳斯, Liu, Menyang, Liang, Hengrui , Zhao, Yi , Huang, Weiqing , Rucker, A. Justin , Xu, Xin , He, Jianxing , Yang, Chao , Liu, Hui, Liu, Xiaoqing, Zhang, Zuopeng , Pan, Dengke , Yang, Zifeng , Guang, Wenda, Li, Hongtao , Chen, Zhonghua, Liang, Hengrui , Jeon, Kyeongman , Chen-Yoshikawa, Toyofumi Fengshi , Lal, Amos, Zhang, Kang , Zhang, Kang , Liu, Xiaoyou , Xu, Xin

No container title available | November 10, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-5155123/v1 Get It

Abstract This study reports the first pig-to-human lung xenotransplantation using a six gene-edited pig lung. A left lung from a gene-edited Chinese Bama Xiang pig was transplanted into a 39-year-old brain-dead human recipient. The xenograft maintained viability and functionality for 216 hours without signs of hyperacute rejection. Postoperatively, severe edema resembling primary graft dysfunction (PGD) was observed, potentially due to ischemia-reperfusion injury. Antibody-mediated rejection appeared to contribute to xenograft damage on postoperative days 3 and 6, with partial recovery by day 9 under the current immunosuppressive regimen. This pioneering study suggests that genetically modified pig lungs could potentially be used for future clinical applications in xenotransplantation.
1236 Machine learning-based clinico-genomic prediction of benefits to add chemotherapy to immunotherapy in metastatic non-small cell lung cancer
Saad, Maliazurina B. , Hong, Lingzhi , Boiarsky, Daniel , Li, Shenduo , Petranović, Milena , Cascone, Tina , Le, Xiuning, Chang, Joe H. , Vaporciyan, Ara A. , Lee, J Jack, Mirjalili, Sayedali, Gainor, Justin F. , Lou, Yanyan , DiFederico, Alessandro, Pecci, Federica , Wu, Jia, Al-Tashi, Qasem , Li, Wentao , Wu, Carol C. , Carter, Brett, Gibbons, Don L , Lee, J Jack, Mirjalili, Sayedali, Jaffray, David A. , Ricciuti, Biagio , Awad, Mark M. , Heymach, John V. , Vokes, Natalie I. , Zhang, Jianjun

Regular and Young Investigator Award Abstracts | November 5, 2024 | Volume: No volume available | Issue: No issue available | Pages: A1379-A1380

10.1136/jitc-2024-sitc2024.1236 Get It

Nanoparticles to target asthma
Hamrick, Samantha K. , Prakash, Y. S. , Pabelick, Christina M. , Prakash, Y S , Pabelick, Christina M , Thompson, Michael A. , Rotello, Vincent M.

American Journal of Physiology-Lung Cellular and Molecular Physiology | October 29, 2024 | Volume: 327 | Issue: 6 | Pages: L964-L971

10.1152/ajplung.00248.2024 | PMID 39470612 Get It

Asthma is a heterogeneous chronic lung disease that affects nearly 340 million people globally. Airway hyperresponsiveness, remodeling (thickening and fibrosis), and mucus hypersecretion are some hallmarks of asthma. With several current treatments having serious side effects from long-term use and a proportion of patients with uncontrolled asthma, there is an urgent need for new therapies. With an increasing understanding of asthma pathophysiology, there is a recognized need to target therapies to specific cell types of the airway, which necessitates the identification of delivery systems that can overcome increased mucus and thickened airways. Nanoparticles (NPs) that are highly customizable (material, size, charge, and surface modification) are a potential solution for delivery systems of a wide variety of cargoes (nucleic acids, proteins, and/or small molecules), as well as sole therapeutics for asthma. However, there is a need to consider the safety of the NPs in terms of potential for inflammation, toxicity, nonspecific targets, and accumulation in organs. Ongoing clinical trials using NPs, some FDA-approved for therapeutics in other diseases, provide confidence regarding the potential safety and efficacy of NPs in asthma treatment. This review highlights the current state of the use of NPs in asthma, identifying opportunities for further improvements in NP design and utilization for targeting this chronic lung disease.
Prognostic Factors in Limited-Stage Small Cell Lung Cancer
Farris, Michael K., Mix, M. , Wang, Xiaofei , Jaszewski, Brandy L., Foster, Nathan R. , Laurie, Fran, Smith, Koren, Alden, Ryan S. , Komaki, Ritsuko , Stinchcombe, Thomas E. , Bradley, Jeffrey D. , Bogart, Jeffrey A. , Jaszewski, Brandy, Bradley, Jeffrey , Farris, Michael K , Masters, Gregory A. , Razavian, Niema B , Vokes, Everett E.

JAMA Network Open | October 24, 2024 | Volume: 7 | Issue: 10 | Pages: e2440673

10.1001/jamanetworkopen.2024.40673 | PMID 39446327 Get It

Importance The impact of patient-specific, disease-related, and social factors on outcomes in limited-stage small cell lung cancer (LS-SCLC) is not well defined. A post hoc secondary analysis of such factors from the Cancer and Leukemia Group B (CALGB) 30610–Radiation Therapy Oncology Group (RTOG) 0538 trial may impact future trial design. Objective To assess the comprehensive demographic, disease-related, treatment-related, and social factors for potential associations with survival outcomes and understand whether specific subpopulations may benefit from radiotherapy (RT) dose escalation in LS-SCLC. Design, Setting, and Participants This post hoc secondary analysis of a randomized clinical trial included 638 adults with LS-SCLC treated at 186 unique treatment sites with at least 1 accrual for all patients from March 15, 2008, to December 1, 2019; 313 patients were randomized to receive RT twice daily to a dosage of 45 Gy for 3 weeks and 325 to receive RT once daily to a dosage of 70 Gy for 7 weeks. Data were locked February 28, 2022, and analyzed from November 28, 2022, to June 4, 2024. Interventions Twice-daily RT or once-daily RT. Main Outcomes and Measures Multivariable Cox proportional hazards models evaluated the association of treatment groups and other risk factors with progression-free survival (PFS) and overall survival (OS). Patient-specific factors included age, sex, and Eastern Cooperative Oncology Group performance status. Disease-related factors included tumor, nodal, and overall cancer stages. Treatment-related factors included type of chemotherapy, timing of concurrent RT, RT technique, and prophylactic cranial irradiation. Social factors included marital status and treatment center accrual volume. Results Among 507 patients (260 [51.3%] female and 247 [48.7%] male; mean [SD] age, 62.6 [7.9] years) included in the multivariate survival analysis, with a median follow-up of 4.7 (IQR, 3.7-7.1) years, female sex was associated with improved OS (hazard ratio [HR], 0.73 [95% CI, 0.58-0.91]; P = .006), while being 70 years or older was associated with decreased OS (HR, 1.50 [95% CI, 1.14-1.98]; P = .004). Neither age nor sex was associated with PFS. When compared with those with N1 disease, OS and PFS were worse in patients with N2 (HRs, 1.64 [95% CI, 1.19-2.26]; P = .002 and 1.36 [95% CI, 1.02-1.81]; P = .04, respectively) and N3 (HRs, 2.03 [95% CI, 1.40-2.93]; P &amp;lt; .001 and 1.63 [95% CI, 1.17-2.26]; P = .004) disease. Compared with stage II cancer, OS was worse for stage IIIA (HR, 1.65 [95% CI, 1.17-2.31]; P = .004) and stage IIIB (HR, 1.94 [95% CI, 1.34-2.83]; P &amp;lt; .001). Compared with high-volume accrual centers, treatment at low- or middle-volume accrual centers was associated with worse PFS (HRs, 1.94 [95% CI, 1.33-2.82; P &amp;lt; .001] and 1.44 [95% CI, 1.15-1.82; P = .002], respectively) and worse OS (HRs, 1.55 [95% CI, 1.03-2.32; P = .03] and 1.33 [95% CI, 1.04-1.70; P = .02], respectively). Conclusions and Relevance This secondary analysis of the CALGB 30610–RTOG 0538 randomized clinical trial of patients with LS-SCLC found associations between female sex or being younger than 70 years and improved overall survival and between advanced nodal stage or treatment at low- or middle-volume accrual centers and worse outcomes. These findings suggest that stratification by nodal stage, clinical stage, and age should be considered in future randomized trials. Trial Registration ClinicalTrials.gov Identifier: NCT00632853
Aging, brain-derived neurotrophic factor, and allergen-induced pulmonary responses in mice
Drake, Li Y. , Roos, B., Wicher, Sarah A. , Khalfaoui, Latifa, Nesbitt, Lisa, Pabelick, Christina M. , Prakash, Y. S. , Roos, Benjamin B, Nesbitt, Lisa L, Pabelick, Christina M , Prakash, Y S , Drake, Li , Fang, Yun Hua

American Journal of Physiology-Lung Cellular and Molecular Physiology | October 22, 2024 | Volume: 328 | Issue: 2 | Pages: L290-L300

10.1152/ajplung.00145.2024 | PMID 39437757 Get It

The pathogenesis of asthma in elderly is not well understood. Using a mouse model of asthma, we show that aging results in decreased lung function and less responsiveness to allergen exposure, impacted by locally produced brain-derived neurotrophic factor. Aging also decreases allergen-induced inflammation but increases airway remodeling and senescence. Our results suggest that senescence pathways may contribute to asthma pathogenesis in elderly.
Promise and Peril of a Genotype‐First Approach to Mendelian Cardiovascular Disease
Asatryan, Babken , Murray, Brittney , Tadros, Rafik , Shah, Ravi A. , Dabbagh, Ghaith Sharaf , Landstrom, Andrew P. , Dobner, Stephan , Munroe, Patricia B. , Haggerty, Christopher M. , Owens, Anjali , Semsarian, Christopher , Barth, Andreas S. , Roden, Dan M. , Ware, James S. , Investigators, the Genotype‐First Approach, Shah, Ravi A , Sharaf Dabbagh, Ghaith , Landstrom, Andrew P , Dobner, Stephan , Munroe, Patricia B , Haggerty, Christopher M , Medeiros-Domingo, Argelia , Owens, Anjali T , Kullo, Iftikhar J , Semsarian, Christopher , Reichlin, Tobias , Barth, Andreas S , Roden, Dan M. , James, Cynthia A , Ware, James S , Chahal, Choudhary Anwar A , Asatryan, Babken , Tadros, Rafik , Rieder, Marina , Medeiros‐Domingo, Argelia , Kullo, Iftikhar J. , James, Cynthia A. , Chahal, C. Anwar A. , Investigators, the Genotype‐First Approach

Journal of the American Heart Association | October 18, 2024 | Volume: 13 | Issue: 21 | Pages: No page available

10.1161/jaha.123.033557 | PMID 39424414 Get It

Precision medicine, which among other aspects includes an individual's genomic data in diagnosis and management, has become the standard‐of‐care for Mendelian cardiovascular disease (CVD). However, early identification and management of asymptomatic patients with potentially lethal and manageable Mendelian CVD through screening, which is the promise of precision health, remains an unsolved challenge. The reduced costs of genomic sequencing have enabled the creation of biobanks containing in‐depth genetic and health information, which have facilitated the understanding of genetic variation, penetrance, and expressivity, moving us closer to the genotype‐first screening of asymptomatic individuals for Mendelian CVD. This approach could transform health care by diagnostic refinement and facilitating prevention or therapeutic interventions. Yet, potential benefits must be weighed against the potential risks, which include evolving variant pathogenicity assertion or identification of variants with low disease penetrance; costly, stressful, and inappropriate diagnostic evaluations; negative psychological impact; disqualification for employment or of competitive sports; and denial of insurance. Furthermore, the natural history of Mendelian CVD is often unpredictable, making identification of those who will benefit from preventive measures a priority. Currently, there is insufficient evidence that population‐based genetic screening for Mendelian CVD can reduce adverse outcomes at a reasonable cost to an extent that outweighs the harms of true‐positive and false‐positive results. Besides technical, clinical, and financial burdens, ethical and legal aspects pose unprecedented challenges. This review highlights key developments in the field of genotype‐first approaches to Mendelian CVD and summarizes challenges with potential solutions that can pave the way for implementing this approach for clinical care.
Can We Offset Local Recurrence in Locally Advanced Non–Small Cell Lung Cancer? The Merry-Go-Round of Radiation Dose Escalation and Stubborn Outcomes
Owen, Dawn , Chapman, Christina

Journal of Clinical Oncology | October 4, 2024 | Volume: 42 | Issue: 33 | Pages: 3895-3900

10.1200/jco-24-01448 | PMID 39365966 Get It

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors’ suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in Journal of Clinical Oncology , to patients seen in their own clinical practice.