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Articles 1 - 12 of 12
Full-Text Articles in Oncology
Access To Prostate-Specific Antigen Testing And Mortality Among Men With Prostate Cancer, Hari S. Iyer, Benjamin V. Stone, Charlotte Roscoe, Mei Chin Hsieh, Antoinette M. Stroup, Charles L. Wiggins, Fredrick R. Schumacher, Scarlett L. Gomez, Timothy R. Rebbeck, Quoc Dien Trinh
Access To Prostate-Specific Antigen Testing And Mortality Among Men With Prostate Cancer, Hari S. Iyer, Benjamin V. Stone, Charlotte Roscoe, Mei Chin Hsieh, Antoinette M. Stroup, Charles L. Wiggins, Fredrick R. Schumacher, Scarlett L. Gomez, Timothy R. Rebbeck, Quoc Dien Trinh
School of Public Health Faculty Publications
Importance: Prostate-specific antigen (PSA) screening for prostate cancer is controversial but may be associated with benefit for certain high-risk groups. Objectives: To evaluate associations of county-level PSA screening prevalence with prostate cancer outcomes, as well as variation by sociodemographic and clinical factors. Design, Setting, and Participants: This cohort study used data from cancer registries based in 8 US states on Hispanic, non-Hispanic Black, and non-Hispanic White men aged 40 to 99 years who received a diagnosis of prostate cancer between January 1, 2000, and December 31, 2015. Participants were followed up until death or censored after 10 years or December …
Path-Bigbird: An Ai-Driven Transformer Approach To Classification Of Cancer Pathology Reports, Mayanka Chandrashekar, Isaac Lyngaas, Heidi A. Hanson, Shang Gao, Xiao Cheng Wu, John Gounley
Path-Bigbird: An Ai-Driven Transformer Approach To Classification Of Cancer Pathology Reports, Mayanka Chandrashekar, Isaac Lyngaas, Heidi A. Hanson, Shang Gao, Xiao Cheng Wu, John Gounley
School of Public Health Faculty Publications
PURPOSE: Surgical pathology reports are critical for cancer diagnosis and management. To accurately extract information about tumor characteristics from pathology reports in near real time, we explore the impact of using domain-specific transformer models that understand cancer pathology reports. METHODS: We built a pathology transformer model, Path-BigBird, by using 2.7 million pathology reports from six SEER cancer registries. We then compare different variations of Path-BigBird with two less computationally intensive methods: Hierarchical Self-Attention Network (HiSAN) classification model and an off-the-shelf clinical transformer model (Clinical BigBird). We use five pathology information extraction tasks for evaluation: site, subsite, laterality, histology, and behavior. …
Most Deprived Louisiana Census Tracts Have Higher Hepatocellular Carcinoma Incidence And Worse Survival, Kendra L. Ratnapradipa, Tingting Li, Mei Chin Hsieh, Laura Tenner, Edward S. Peters
Most Deprived Louisiana Census Tracts Have Higher Hepatocellular Carcinoma Incidence And Worse Survival, Kendra L. Ratnapradipa, Tingting Li, Mei Chin Hsieh, Laura Tenner, Edward S. Peters
School of Public Health Faculty Publications
Background: Liver cancer incidence increased in the US from 1975 through 2015 with heterogeneous rates across subpopulations. Upstream or distal area-level factors impact liver cancer risks. Objective: The aim of this study was to examine the association between area-level deprivation and hepatocellular carcinoma (HCC) incidence and survival. We also explored the association between area deprivation and treatment modalities. Methods: Louisiana Tumor Registry identified 4,151 adult patients diagnosed with malignant HCC from 2011 to 2020 and linked residential address to census tract (CT)-level Area Deprivation Index (ADI) categorized into quartiles (Q1 = least deprived). ANOVA examined the association between ADI quartile …
Is There Really A Difference In Outcomes Between Men And Women With Hepatocellular Cancer?, Andrea Fa, Denise M. Danos, Lauren Maniscalco, Yong Yi, Xiao Cheng Wu, Mary A. Maluccio, Quyen D. Chu, John M. Lyons
Is There Really A Difference In Outcomes Between Men And Women With Hepatocellular Cancer?, Andrea Fa, Denise M. Danos, Lauren Maniscalco, Yong Yi, Xiao Cheng Wu, Mary A. Maluccio, Quyen D. Chu, John M. Lyons
School of Public Health Faculty Publications
Hepatocellular carcinoma (HCC) is a male-dominated disease. Currently, gender differences remain incompletely defined. Data from the state tumor registry were used to investigate differences in demographics, comorbidities, treatment patterns, and cancer-specific survival (HSS) among HCC patients according to gender. Additional analyses were performed to evaluate racial differences among women with HCC. 2627 patients with HCC were included; 498 (19%) were women. Women were mostly white (58%) or African American (39%)—only 3.8% were of another or unknown race. Women were older (65.1 vs. 61.3 years), more obese (33.7% vs. 24.2%), and diagnosed at an earlier stage (31.7% vs. 28.4%) than men. …
Quitting Smoking After A Cancer Diagnosis Is Associated With High-Risk Neutrophil-To-Lymphocyte Ratio Among Tobacco Use-Related Cancer Survivors, You Lu, Katherine Kwong, James Wells, Andrea Edwards, Zhong Chen, Tung-Sung Tseng, Kun Zhang
Quitting Smoking After A Cancer Diagnosis Is Associated With High-Risk Neutrophil-To-Lymphocyte Ratio Among Tobacco Use-Related Cancer Survivors, You Lu, Katherine Kwong, James Wells, Andrea Edwards, Zhong Chen, Tung-Sung Tseng, Kun Zhang
School of Public Health Faculty Publications
Quitting smoking could potentially minimize the risk of a high neutrophil-to-lymphocyte ratio (NLR) among tobacco use-related (TUR) cancer survivors. A total of 1263 TUR cancer survivors aged 20 to 85 years old were investigated using data from the National Health and Nutritional Examination Survey 1999-2018. The primary outcome was the NLR, which was defined as having two levels: high-risk (≥ 3) and low-risk (< 3). The association between smoking cessation time and a high-risk NLR level was analyzed using weighted logistic regression models. Overall, the current smoking rate of TUR cancer survivors was found to be 21.7%. Older age (75 years above), gender and respiratory-related cancers are covariables associated with high risk of NLR levels for individual who identified as Non-Hispanic White (NHW). Non-Hispanic Black (NHB) (n = 27) who quit smoking after a cancer diagnosis were associated with the highest risk of a high NLR (OR 4.83, 95% CI 1.40-16.61, p = 0.01) compared to NHB nonsmokers (n = 139). These findings suggest that the risk of a high NLR level is strongly associated with the time of smoking cessation in NHB TUR cancer survivors. As a result, NHB TUR cancer survivors should quit smoking as soon as possible because the benefits of quitting smoking were observed over the 5 year period following smoking cessation.
Intake Patterns Of Specific Alcoholic Beverages By Prostate Cancer Status, Hui Yi Lin, Tung-Sung Tseng, Xinnan Wang, Zhide Fang, Arnold H. Zea, Liang Wang, Julio Pow-Sang, Catherine M. Tangen, Phyllis J. Goodman, Alicja Wolk, Niclas Håkansson, Manolis Kogevinas, Javier Llorca, Hermann Brenner, Ben Schöttker, Jose Esteban Castelao, Manuela Gago-Dominguez, Marija Gamulin, Davor Lessel, Frank Claessens, Steven Joniau, Jong Y. Park
Intake Patterns Of Specific Alcoholic Beverages By Prostate Cancer Status, Hui Yi Lin, Tung-Sung Tseng, Xinnan Wang, Zhide Fang, Arnold H. Zea, Liang Wang, Julio Pow-Sang, Catherine M. Tangen, Phyllis J. Goodman, Alicja Wolk, Niclas Håkansson, Manolis Kogevinas, Javier Llorca, Hermann Brenner, Ben Schöttker, Jose Esteban Castelao, Manuela Gago-Dominguez, Marija Gamulin, Davor Lessel, Frank Claessens, Steven Joniau, Jong Y. Park
School of Public Health Faculty Publications
Background: Previous studies have shown that different alcoholic beverage types impact prostate cancer (PCa) clinical outcomes differently. However, intake patterns of specific alcoholic beverages for PCa status are understudied. The study’s objective is to evaluate intake patterns of total alcohol and the three types of beverage (beer, wine, and spirits) by the PCa risk and aggressiveness status. Method: This is a cross-sectional study using 10,029 men (4676 non-PCa men and 5353 PCa patients) with European ancestry from the PCa consortium. Associations between PCa status and alcohol intake patterns (infrequent, light/moderate, and heavy) were tested using multinomial logistic regressions. Results: Intake …
A Wechat-Based Smoking Cessation Intervention For Chinese Smokers: A Pilot Study, Ting Luo, Mirandy S. Li, Donna Williams, Jackson Fritz, Kaylin Beiter, Stephen Phillippi, Qingzhao Yu, Stephen Kantrow, Wei Ting Lin, Yu Hsiang Kao, Yongchun Chen, Liwei Chen, Tung-Sung Tseng
A Wechat-Based Smoking Cessation Intervention For Chinese Smokers: A Pilot Study, Ting Luo, Mirandy S. Li, Donna Williams, Jackson Fritz, Kaylin Beiter, Stephen Phillippi, Qingzhao Yu, Stephen Kantrow, Wei Ting Lin, Yu Hsiang Kao, Yongchun Chen, Liwei Chen, Tung-Sung Tseng
School of Public Health Faculty Publications
Background: China is the largest tobacco producer and has the highest number of tobacco consumers in the world. Extensive research has demonstrated the utility of social media for smoking cessation. WeChat is the most commonly used social media platform in China, but has not yet been utilized for smoking cessation interventions. The objectives of this study are (1) to evaluate the efficacy of a WeChat-based smoking cessation intervention; and (2) to examine a possible additive effect of integrating oral health and smoking-related information into a tailored, Transtheoretical Model (TTM) guided smoking cessation intervention. Methods: Eligible adults were recruited through WeChat …
Geographic Determinants Of Colorectal Cancer In Louisiana, Denise Danos, Claudia Leonardi, Xiao Cheng Wu
Geographic Determinants Of Colorectal Cancer In Louisiana, Denise Danos, Claudia Leonardi, Xiao Cheng Wu
School of Public Health Faculty Publications
Purpose: Currently, rural residents in the United States (US) experience a greater cancer burden for tobacco-related cancers and cancers that can be prevented by screening. We aim to characterize geographic determinants of colorectal cancer (CRC) incidence in Louisiana due to rural residence and other known geographic risk factors, area socioeconomic status (SES), and cultural region (Acadian or French-speaking). Methods: Primary colorectal cancer diagnosed among adults 30 years and older in 2008–2017 were obtained from the Louisiana Tumor Registry. Population and social and economic data were obtained from US Census American Community Survey. Rural areas were defined using US Department of …
Dysregulation Of Dna Methylation And Epigenetic Clocks In Prostate Cancer Among Puerto Rican Men, Anders Berglund, Jaime Matta, Jarline Encarnación-Medina, Carmen Ortiz-Sanchéz, Julie Dutil, Raymond Linares, Joshua Marcial, Caren Abreu-Takemura, Natasha Moreno, Ryan Putney, Ratna Chakrabarti, Hui Yi Lin, Kosj Yamoah, Carlos Diaz Osterman, Liang Wang, Jasreman Dhillon, Youngchul Kim, Seung Joon Kim, Gilberto Ruiz-Deya, Jong Y. Park
Dysregulation Of Dna Methylation And Epigenetic Clocks In Prostate Cancer Among Puerto Rican Men, Anders Berglund, Jaime Matta, Jarline Encarnación-Medina, Carmen Ortiz-Sanchéz, Julie Dutil, Raymond Linares, Joshua Marcial, Caren Abreu-Takemura, Natasha Moreno, Ryan Putney, Ratna Chakrabarti, Hui Yi Lin, Kosj Yamoah, Carlos Diaz Osterman, Liang Wang, Jasreman Dhillon, Youngchul Kim, Seung Joon Kim, Gilberto Ruiz-Deya, Jong Y. Park
School of Public Health Faculty Publications
In 2021, approximately 248,530 new prostate cancer (PCa) cases are estimated in the United States. Hispanic/Latinos (H/L) are the second largest racial/ethnic group in the US. The objective of this study was to assess DNA methylation patterns between aggressive and indolent PCa along with ancestry proportions in 49 H/L men from Puerto Rico (PR). Prostate tumors were classified as aggressive (n = 17) and indolent (n = 32) based on the Gleason score. Genomic DNA samples were extracted by macro-dissection. DNA methylation patterns were assessed using the Illumina EPIC DNA methylation platform. We used ADMIXTURE to estimate global ancestry proportions. …
Class Imbalance In Out-Of-Distribution Datasets: Improving The Robustness Of The Textcnn For The Classification Of Rare Cancer Types, Kevin De Angeli, Shang Gao, Ioana Danciu, Eric B. Durbin, Xiao Cheng Wu, Antoinette Stroup, Jennifer Doherty, Stephen Schwartz, Charles Wiggins, Mark Damesyn, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Hong Jun Yoon
Class Imbalance In Out-Of-Distribution Datasets: Improving The Robustness Of The Textcnn For The Classification Of Rare Cancer Types, Kevin De Angeli, Shang Gao, Ioana Danciu, Eric B. Durbin, Xiao Cheng Wu, Antoinette Stroup, Jennifer Doherty, Stephen Schwartz, Charles Wiggins, Mark Damesyn, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Hong Jun Yoon
School of Public Health Faculty Publications
In the last decade, the widespread adoption of electronic health record documentation has created huge opportunities for information mining. Natural language processing (NLP) techniques using machine and deep learning are becoming increasingly widespread for information extraction tasks from unstructured clinical notes. Disparities in performance when deploying machine learning models in the real world have recently received considerable attention. In the clinical NLP domain, the robustness of convolutional neural networks (CNNs) for classifying cancer pathology reports under natural distribution shifts remains understudied. In this research, we aim to quantify and improve the performance of the CNN for text classification on out-of-distribution …
Implementation Of A Wechat-Based Smoking Cessation Program For Chinese Smokers, Ting Luo, Mirandy S. Li, Donna Williams, Jackson Fritz, Stephen Phillippi, Qingzhao Yu, Stephen Kantrow, Liwei Chen, Yongchun Chen, Kaylin Beiter, Tung-Sung Tseng
Implementation Of A Wechat-Based Smoking Cessation Program For Chinese Smokers, Ting Luo, Mirandy S. Li, Donna Williams, Jackson Fritz, Stephen Phillippi, Qingzhao Yu, Stephen Kantrow, Liwei Chen, Yongchun Chen, Kaylin Beiter, Tung-Sung Tseng
School of Public Health Faculty Publications
Introduction: Although smoking prevalence has recently declined, the smoking prevalence in China remains high. Extensive research has demonstrated ways that social media can assist in quitting smoking. WeChat is the most commonly used social media platform in China but has not been used for smoking cessation. A process evaluation of a novel WeChat-based smoking cessation intervention was conducted to measure its efficacy of content delivery, participant satisfac-tion, engagement, and likelihood of recommendation to others. Methods: A three-week, three-arm, single-blind randomized control trial was established. WeChat was used to recruit 403 participants and to deliver intervention messages and process evaluation surveys …
Identification Of Plasma Glycosphingolipids As Potential Biomarkers For Prostate Cancer (Pca) Status, Ashley J. Snider, Michael C. Seeds, Laurel Johnstone, Justin M. Snider, Brian Hallmark, Rahul Dutta, Cristina Moraga Franco, John S. Parks, Jeannette T. Bensen, Corey D. Broeckling, James L. Mohler, Gary J. Smith, Elizabeth T.H. Fontham, Hui Kuan Lin, William Bresette, Susan Sergeant, Floyd H. Chilton
Identification Of Plasma Glycosphingolipids As Potential Biomarkers For Prostate Cancer (Pca) Status, Ashley J. Snider, Michael C. Seeds, Laurel Johnstone, Justin M. Snider, Brian Hallmark, Rahul Dutta, Cristina Moraga Franco, John S. Parks, Jeannette T. Bensen, Corey D. Broeckling, James L. Mohler, Gary J. Smith, Elizabeth T.H. Fontham, Hui Kuan Lin, William Bresette, Susan Sergeant, Floyd H. Chilton
School of Public Health Faculty Publications
Prostate cancer (PCa) is the most common male cancer and the second leading cause of cancer death in United States men. Controversy continues over the effectiveness of prostate-specific antigen (PSA) for distinguishing aggressive from indolent PCa. There is a critical need for more specific and sensitive biomarkers to detect and distinguish low-versus high-risk PCa cases. Discovery metabolomics were performed utilizing ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) on plasma samples from 159 men with treatment naïve prostate cancer participating in the North Carolina-Louisiana PCa Project to determine if there were metabolites associated with aggressive PCa. Thirty-five identifiable plasma small molecules were …