Publications by authors named "Xiaocheng Wu"

Triple negative breast cancer (TNBC) is an aggressive, molecularly heterogeneous subtype of breast cancer, accounting for approximately 10-15% of all cases. While reproductive and metabolic factors contribute to breast cancer development, growing concerns about environmental exposures, alongside biological and socio-cultural influences, underscore the need for targeted prevention strategies across diverse populations. Despite increasing evidence linking biological, socioeconomic, and environmental factors to TNBC outcomes, the molecular mechanisms underlying these relationships remain poorly understood.

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Prostate Cancer (PCa) is the most commonly diagnosed cancer and the second leading cause of cancer death among men. In Louisiana (LA), Black men are disproportionately diagnosed at later stages compared to White men. This study explores environmental risk factors as potential intermediate variables linking race to cancer diagnosis stage.

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Background: Women with a lower socioeconomic status (SES) have an increased risk of dying from breast cancer (BC) than those with a higher SES. The association of SES with BC survival may be partially mediated by factors such as Oncotype DX (ODX) testing and stage at diagnosis. This study aims to examine SES disparities in survival among HR+/HER2- BC women and to quantify the mediating effects of the ODX test and stage.

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A key challenge for organic photodetectors is achieving circularly polarized light (CPL) detection in the near-infrared (NIR) band, which has promising applications in spectroscopy, imaging, and communications. However, most current methods for achieving this detection, particularly in the NIR range, are complex. In this paper, we present a simple and practicable method by blending chiral polythiophene (P3HT-PPI(D)/P3HT-PPI(L)) and nonchiral random copolymers (CPX).

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Objectives: This work evaluated algorithmic bias in biomarkers classification using electronic pathology reports from female breast cancer cases. Bias was assessed across 5 subgroups: cancer registry, race, Hispanic ethnicity, age at diagnosis, and socioeconomic status.

Materials And Methods: We utilized 594 875 electronic pathology reports from 178 121 tumors diagnosed in Kentucky, Louisiana, New Jersey, New Mexico, Seattle, and Utah to train 2 deep-learning algorithms to classify breast cancer patients using their biomarkers test results.

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Previous research demonstrated Non-Hispanic Black populations experience higher COVID-19 mortality rates than Non-Hispanic White individuals. Additionally, cancer status is a known risk factor for COVID-19 death. While prior studies investigated comorbidities as exploratory variables in differences in COVID-19 hospitalization, none have explored their role in COVID-19-related deaths.

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Background-: Triple-negative breast cancer is a prevalent breast cancer subtype with the lowest 5-year survival. Several factors contribute to its treatment response, but the inherent molecular and cellular tumor heterogeneity are increasingly acknowledged as crucial determinants.

Methods-: Spatial transcriptomic profiling was performed on FFPE tissues from a retrospective, treatment-naive group of women with differential prognoses (17 with >15 years survival- good prognosis (GPx) and 15 with <3 years survival-poor prognosis (PPx)) using GeoMX Digital Spatial Profiler.

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Background: The mortality rate of Hepatocellular cancer (HCC) in Louisiana is second worst in the United States. This has been linked to underutilization of curative treatment (CT). This study aimed to identify risk factors associated with underutilization of CT in Louisiana.

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Introduction: Medicaid expansion (ME) has positively impacted colon cancer screening. ME's effect on colon cancer treatment is less clear. This study analyses the effect of ME on patterns of colon cancer treatment.

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Objectives: Compare functional outcomes and treatment-related regret over 10 years in Spanish- and English-speaking Hispanic men compared to non-Hispanic men following treatment of localized prostate cancer.

Methods And Materials: Data from a prospective cohort study of men with localized prostate cancer treated with active surveillance, radical prostatectomy or radiotherapy were used to examine the effect of survey language (Spanish speaking vs. English speaking) and ethnicity (Hispanic vs.

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Objective: Food insecurity is becoming recognized as an important measure of public health. Louisiana has a poorer health index and a higher food insecurity rate than the national average. This study aims to investigate how living in a food desert affects the stage at diagnosis and 5-year overall survival in patients with gynecologic cancers.

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Background: It is unclear whether cancer risk among people with human immunodeficiency virus (HIV, PWH) has declined equally across all racial/ethnic and transmission risk groups.

Methods: We used data on PWH aged ≥20 years from the HIV/AIDS Cancer Match Study during 2001-2019. We used Poisson regression to assess time trends in incidence rates for each cancer site by racial/ethnicity and risk groups, adjusting for age, registry, and sex.

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Heat stress has been one of the key research areas for researchers due to the wide-ranging effects and complex mechanisms of action of its stress product reactive oxygen species (ROS). The aim of this paper is to comprehensively review and summarize the effects of heat stress on ovarian granulosa cells and their mechanism of action. We systematically reviewed the effects of heat stress on ovarian granulosa cells, including intracellular steroid hormone changes, oxidative stress, apoptosis, and mitochondrial function.

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Article Synopsis
  • Pancreatic ductal adenocarcinoma (PDAC) has a high mortality rate and recent studies support the use of neoadjuvant treatment (NAT) to improve survival outcomes.
  • A study analyzing data from 2,121 PDAC patients in Louisiana found that Black patients were significantly less likely to receive NAT compared to White patients.
  • Receiving NAT was associated with a lower risk of death, showing improved overall survival, regardless of insurance or socio-economic factors, highlighting the need to address barriers to NAT access for Black patients with PDAC.
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Article Synopsis
  • - The EXACT trial, sponsored by the National Cancer Institute, aims to evaluate whether 150 minutes of weekly moderate-intensity aerobic exercise can lower systemic inflammation in stage I-III colorectal cancer survivors compared to a control group over 12 weeks.
  • - Recruitment for the study involved inviting over 3,000 survivors, with 89 screened and 60 randomized, revealing that younger age, female sex, and certain racial and clinical factors positively influenced participation.
  • - Findings showed high exercise adherence at 92.2%, with all participants meeting the 80% adherence goal, and the trial will provide insights into how exercise may help prevent cancer recurrence and improve survival rates.
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Background: Studies in the United States are scarce that assess the survival differences between breast-conserving surgery plus radiation (Breast-Conserving Therapy; BCT) and mastectomy groups using population-based data while accounting for sociodemographic and clinical factors that affect the survival of women with early-stage breast cancer (ESBC).

Objective: To assess whether BCT provides superior long-term overall survival (OS) and breast cancer-specific survival (BCSS) compared with mastectomy in women with ESBC, while considering key factors that impact survival.

Design: Cohort study.

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Article Synopsis
  • The study discusses the limitations of using graph convolutional networks (GCN) for classifying natural language texts, particularly in terms of memory usage and distribution.
  • It introduces a new model called FastMPN, which features a message passing architecture that allows for adjustable node embeddings and edge weights, improving the GCN's problem-solving ability.
  • The FastMPN model was tested on extracting clinical data from cancer pathology reports, outperforming or matching existing models and training quickly on a large dataset using advanced hardware.
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, a red seaweed, is an abundant source of bioactive polysaccharides with significant health-promoting properties. Nevertheless, the broad application of in the nutraceutical and pharmaceutical sectors remains constrained due to the absence of comprehensive data. This review provides a detailed examination of the preparation methods, structural characteristics, and biological activities of polysaccharides (GLPs).

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Background: The consequence of diabetes on lung cancer overall survival (OS) is debated. This retrospective study used 2 large lung cancer databases to assess comprehensively diabetes effects on lung cancer OS in diverse demographic populations, including health disparity.

Methods: The University of Texas MD Anderson Cancer Center database (32 643 lung cancer patients with 11 973 patients with diabetes) was extracted from electronic health records (EHRs) using natural language processing (NLP).

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Background: The Oncotype DX Genomic Prostate Score (ODX-GPS) is a gene expression assay that predicts disease aggressiveness. The objective of this study was to identify sociodemographic and regional factors associated with ODX-GPS uptake.

Methods: Data from Surveillance Epidemiology and End Results registries on men with localized prostate cancer with a Gleason score of 3 + 3 or 3 + 4, PSA ≤20 ng/mL, and stage T1c to T2c disease from 2013 through 2017 were linked with ODX-GPS data.

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Article Synopsis
  • Precision medicine is increasingly important in cancer care, but tumor genomic data has been lacking in the National Cancer Institute's SEER Program, limiting research on molecular subtypes.
  • To improve this, the SEER Program has implemented a centralized process to link cancer cases in their registries with genomic test results from molecular labs, using specialized software and a trusted third party for data handling.
  • Recent linkages have included various OncotypeDX tests and results from other genomic classifiers, which facilitate the research community's access to valuable, de-identified data for cancer studies.
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Background: The Surveillance, Epidemiology, and End Results (SEER) Program with the National Cancer Institute tested whether population-based cancer registries can serve as honest brokers to acquire tissue and data in the SEER-Linked Virtual Tissue Repository (VTR) Pilot.

Methods: We collected formalin-fixed, paraffin-embedded tissue and clinical data from patients with pancreatic ductal adenocarcinoma (PDAC) and breast cancer (BC) for two studies comparing cancer cases with highly unusual survival (≥5 years for PDAC and ≤30 months for BC) to pair-matched controls with usual survival (≤2 years for PDAC and ≥5 years for BC). Success was defined as the ability for registries to acquire tissue and data on cancer cases with highly unusual outcomes.

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Objective: We aim to determine the effect of region of residence (urban vs. rural) on the odds of receiving standard of care treatment for locally advanced BCa in Louisiana and its impact on survival outcomes.

Methods: Using the Louisiana Tumor Registry, we identified American Joint Committee on Cancer (AJCC) stage II or III, BCa diagnoses in Louisiana residents between 2010 and 2020.

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Artificial olfactory synaptic devices with low energy consumption and low detection limits are important for the further development of neuromorphic computing and intelligent robotics. In this work, an ultralow energy consumption and low detection limit imitation olfactory synaptic device based on organic field-effect transistors (OFETs) was prepared. The aggregation state of poly(diketopyrrolopyrrole-selenophene) (PTDPP) semiconductor films is modulated by adding unfavorable solvents and annealing treatments to obtain excellent charge transfer and gas synaptic properties.

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